From 07e58e504380614a2ab48e78570728695f8cec62 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 11 Dec 2022 11:07:10 +1100
Subject: [PATCH 01/20] Add types.

---
 src/library/crawler.py | 2 +-
 src/library/render.py  | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/library/crawler.py b/src/library/crawler.py
index 97cd08f..0b2300e 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -4,7 +4,7 @@
 from library import render, readme, requirements
 
 
-def write_files(csv_location, token, output_csv_filename, output_json_filename):
+def write_files(csv_location: str, token: str, output_csv_filename: str, output_json_filename: str):
     start = datetime.now()
 
     # Read github urls from google docs
diff --git a/src/library/render.py b/src/library/render.py
index 4f05a2a..130f1e0 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -7,7 +7,7 @@
 from library.ghw import GithubWrapper
 
 
-def get_input_data(csv_location) -> pd.DataFrame:
+def get_input_data(csv_location: str) -> pd.DataFrame:
     df = pd.read_csv(csv_location)
     df.columns = map(str.lower, df.columns)
     assert "githuburl" in df.columns
@@ -92,7 +92,7 @@ def _display_description(ghw, name) -> str:
             return f"{repo.name}: {repo.description}"
 
 
-def process(df_input, token) -> pd.DataFrame:
+def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
     ghw = GithubWrapper(token)
     df = df_input.copy()
     df["_repopath"] = df["githuburl"].apply(lambda x: urlparse(x).path.lstrip("/"))
@@ -132,7 +132,7 @@ def process(df_input, token) -> pd.DataFrame:
     return df.sort_values("_stars", ascending=False)
 
 
-def lines_header(count, category="") -> List[str]:
+def lines_header(count: int, category: str = "") -> List[str]:
     category_line = f"A selection of {count} curated Python libraries and frameworks ordered by stars.  \n"
     if len(category) > 0:
         category_line = f"A selection of {count} curated {category} Python libraries and frameworks ordered by stars.  \n"
@@ -145,7 +145,7 @@ def lines_header(count, category="") -> List[str]:
     ]
 
 
-def add_markdown(df) -> pd.DataFrame:
+def add_markdown(df: pd.DataFrame) -> pd.DataFrame:
     df["_doclines_main"] = df.apply(
         lambda x: make_markdown(x, include_category=True), axis=1
     )

From 3dd32587c420d8b6d88ea502fd6f741e22f25e13 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 11 Dec 2022 11:07:39 +1100
Subject: [PATCH 02/20] Add unit tests.

---
 Makefile                    |   5 +-
 tests/test_render.py        |  22 +
 tests/test_repos_source.csv | 903 ++++++++++++++++++++++++++++++++++++
 3 files changed, 929 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_render.py
 create mode 100644 tests/test_repos_source.csv

diff --git a/Makefile b/Makefile
index 5f5a278..f95eb2a 100644
--- a/Makefile
+++ b/Makefile
@@ -21,12 +21,15 @@ run:
 black:
 	source venv/bin/activate ; black .
 
+## Run tests
+test:
+	source venv/bin/activate ; PYTHONPATH='./src' pytest --capture=no tests
+
 ## Serve local client
 serve-local-client:
 	open http://localhost:8002/
 	cd client/app; python3 -m http.server 8002
 
-
 ## AWS S3 cp client app to S3
 s3-deploy-app:
 	cd client; make s3-deploy-app; make cf-invalidation
diff --git a/tests/test_render.py b/tests/test_render.py
new file mode 100644
index 0000000..95dfde0
--- /dev/null
+++ b/tests/test_render.py
@@ -0,0 +1,22 @@
+from loguru import logger
+from library import render, env
+
+
+def test_render_process():
+    token = env.get("GITHUB_ACCESS_TOKEN")
+    csv_location = "tests/test_repos_source.csv"
+
+    df_input = render.get_input_data(csv_location)
+    df_input = df_input.head(1)
+    df = render.process(df_input, token)
+
+    logger.info(f"{df.shape=}")
+    logger.info(f"{df.columns=}")
+
+    assert df.shape[0] == 1, "Unexpected number of rows"
+    assert df.shape[1] == 20, "Unexpected number of columns"
+    assert list(df.columns) == ["category", "githuburl", "featured", "links", "description",
+                                "_repopath", "_reponame", "_stars", "_forks", "_watches", "_topics",
+                                "_language", "_homepage", "_description", "_organization",
+                                "_updated_at", "_last_commit_date", "_created_at", "_age_weeks",
+                                "_stars_per_week"]
diff --git a/tests/test_repos_source.csv b/tests/test_repos_source.csv
new file mode 100644
index 0000000..d8264c3
--- /dev/null
+++ b/tests/test_repos_source.csv
@@ -0,0 +1,903 @@
+Category,GithubUrl,Featured,Links,Description
+data,https://github.com/andialbrecht/sqlparse,,,
+data,https://github.com/apache/arrow,,,
+ml-dl,https://github.com/apache/incubator-mxnet,,,
+ml,https://github.com/awslabs/autogluon,,,
+pandas,https://github.com/aws/aws-sdk-pandas,1,,
+web,https://github.com/benoitc/gunicorn,,,
+viz,https://github.com/bokeh/bokeh,,,
+util,https://github.com/boto/boto3,,,
+perf,https://github.com/celery/celery,,,
+ml,https://github.com/ContextLab/hypertools,,,
+util,https://github.com/cython/cython,,,
+perf,https://github.com/dask/dask,,,
+nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,
+ml,https://github.com/DistrictDataLabs/yellowbrick,,,
+web,https://github.com/django/django,,,
+ml-dl,https://github.com/skorch-dev/skorch,,,
+perf,https://github.com/eventlet/eventlet,,,
+nlp,https://github.com/explosion/spaCy,,,
+nlp,https://github.com/explosion/spacy-streamlit,,,
+time-series,https://github.com/facebook/prophet,1,,
+typing,https://github.com/facebook/pyre-check,,,
+nlp,https://github.com/facebookresearch/DrQA,,,
+nlp,https://github.com/facebookresearch/ParlAI,,,
+math,https://github.com/fredrik-johansson/mpmath,,,
+ml,https://github.com/google/dopamine,,,
+util,https://github.com/google/gin-config,,,
+term,https://github.com/google/python-fire,,,
+typing,https://github.com/google/pytype,,,
+ml-dl,https://github.com/google/trax,,,
+ml-ops,https://github.com/great-expectations/great_expectations,,,
+web,https://github.com/huge-success/sanic,,,
+data,https://github.com/JaidedAI/EasyOCR,,,
+nlp,https://github.com/jamesturk/jellyfish,,,
+gis,https://github.com/jasonrig/address-net,,,
+nlp,https://github.com/jbesomi/texthero,,,
+data,https://github.com/jmcnamara/XlsxWriter,,,
+data,https://github.com/joke2k/faker,,,
+math,https://github.com/jszymon/pacal,,,
+jupyter,https://github.com/jupyter/notebook,,,
+jupyter,https://github.com/jupyterlab/jupyterlab,,,
+ml-dl,https://github.com/keras-team/keras,,,
+util,https://github.com/kivy/kivy,,,
+nlp,https://github.com/life4/textdistance,,,
+data,https://github.com/lk-geimfari/mimesis,,,
+ml,https://github.com/lmcinnes/umap,,,
+testing,https://github.com/locustio/locust,1,,
+jupyter,https://github.com/maartenbreddels/ipyvolume,,,
+data,https://github.com/macbre/sql-metadata,1,,
+viz,https://github.com/matplotlib/matplotlib,,,
+util,https://github.com/mozillazg/pypy,,,
+viz,https://github.com/mwaskom/seaborn,,,
+testing,https://github.com/nedbat/coveragepy,,,
+graph,https://github.com/networkx/networkx,,,
+perf,https://github.com/numba/numba,,,
+math,https://github.com/numpy/numpy,1,,
+sim,https://github.com/openai/gym,,,
+term,https://github.com/pallets/click,,,
+web,https://github.com/pallets/flask,,,
+gamedev,https://github.com/panda3d/panda3d,,,
+pandas,https://github.com/pandas-dev/pandas,1,,
+pandas,https://github.com/pandas-profiling/pandas-profiling,1,,
+viz,https://github.com/plotly/dash,,,
+viz,https://github.com/plotly/plotly.py,,,
+sim,https://github.com/projectmesa/mesa,,,
+util,https://github.com/psf/black,,,
+ml,https://github.com/pycaret/pycaret,,,
+util,https://github.com/PyCQA/pylint,,,
+web,https://github.com/pyeve/eve,,,
+gamedev,https://github.com/pygame/pygame,1,,
+util,https://github.com/PyGithub/PyGithub,,,
+ml,https://github.com/pymc-devs/pymc3,,,
+testing,https://github.com/pytest-dev/pytest,,,
+util,https://github.com/python-pillow/Pillow,,,
+gis,https://github.com/python-visualization/folium,,,
+typing,https://github.com/python/mypy,,,
+nlp,https://github.com/pytorch/fairseq,,,
+ml-dl,https://github.com/pytorch/pytorch,,,
+jupyter,https://github.com/quantopian/qgrid,,,
+ml,https://github.com/scikit-learn/scikit-learn,,,
+ml,https://github.com/scipy/scipy,,,
+data,https://github.com/scrapy/scrapy,,,
+util,https://github.com/sphinx-doc/sphinx,,,
+data,https://github.com/sqlalchemy/sqlalchemy,,,
+ml,https://github.com/stan-dev/pystan,,,
+ml,https://github.com/statsmodels/statsmodels,,,
+graph,https://github.com/stellargraph/stellargraph,,,
+viz,https://github.com/streamlit/streamlit,,,
+math,https://github.com/sympy/sympy,1,,
+testing,https://github.com/taverntesting/tavern,,,
+ml-dl,https://github.com/tensorflow/tensorflow,,,
+web,https://github.com/tornadoweb/tornado,1,,
+ml,https://github.com/uber/causalml,,,
+ml-ops,https://github.com/uber/ludwig,,,
+web,https://github.com/unbit/uwsgi,,,
+term,https://github.com/urwid/urwid,,,
+perf,https://github.com/vaexio/vaex,,,
+data,https://github.com/vi3k6i5/flashtext,,,
+jupyter,https://github.com/voila-dashboards/voila,,,
+data,https://github.com/ZoomerAnalytics/xlwings,,,
+ml,https://github.com/skvark/opencv-python,,,
+nlp,https://github.com/clips/pattern,,,
+ml,https://github.com/rasbt/mlxtend,,,
+ml-ops,https://github.com/spotify/luigi,,,
+ml,https://github.com/dmlc/xgboost,,,
+nlp,https://github.com/RaRe-Technologies/gensim,,,
+nlp,https://github.com/nltk/nltk,,,
+ml,https://github.com/NicolasHug/Surprise,,,
+sim,https://github.com/AtsushiSakai/PythonRobotics,,,
+util,https://github.com/nficano/python-lambda,,,
+data,https://github.com/binux/pyspider,,,
+ml-interpretability,https://github.com/marcotcr/lime,,,
+ml,https://github.com/TeamHG-Memex/eli5,,,
+nlp,https://github.com/huggingface/transformers,,,
+nlp,https://github.com/huggingface/neuralcoref,,,
+nlp,https://github.com/allenai/allennlp,,,
+perf,https://github.com/h5py/h5py,,,
+ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,
+nlp,https://github.com/ICLRandD/Blackstone,,,
+ml-ops,https://github.com/apache/airflow,,,
+ml-ops,https://github.com/mlflow/mlflow,,,
+ml-ops,https://github.com/PrefectHQ/prefect,,,
+ml-ops,https://github.com/dagster-io/dagster,,,
+data,https://github.com/iterative/dvc,,,
+util,https://github.com/mgedmin/check-manifest,,,
+ml,https://github.com/onnx/onnx,,,
+perf,https://github.com/modin-project/modin,,,
+ml-dl,https://github.com/microsoft/DeepSpeed,,,
+ml,https://github.com/microsoft/nni,,,
+viz,https://github.com/altair-viz/altair,,,
+viz,https://github.com/holoviz/holoviews,,,
+ml-dl,https://github.com/explosion/thinc,,,
+ml,https://github.com/automl/auto-sklearn,,,
+ml,https://github.com/EpistasisLab/tpot,,,
+ml,https://github.com/hyperopt/hyperopt,,,
+ml-dl,https://github.com/keras-team/autokeras,,,
+web,https://github.com/tiangolo/fastapi,1,,
+nlp,https://github.com/ddangelov/Top2Vec,,,
+nlp,https://github.com/huggingface/datasets,,,
+ml-interpretability,https://github.com/pair-code/lit,1,,
+viz,https://github.com/vispy/vispy,,,
+nlp,https://github.com/neuml/txtai,,,
+ml,https://github.com/FeatureLabs/featuretools,1,,
+nlp,https://github.com/UKPLab/sentence-transformers,,,
+nlp,https://github.com/plasticityai/magnitude,,,
+nlp,https://github.com/openai/gpt-2,,,
+ml,https://github.com/nmslib/hnswlib,,,
+util,https://github.com/zenodo/zenodo,,,
+graph,https://github.com/guyallard/markov_clustering,,,
+data,https://github.com/twintproject/twint,,,
+data,https://github.com/simple-salesforce/simple-salesforce,,,
+ml,https://github.com/catboost/catboost,,,
+nlp,https://github.com/sloria/TextBlob,,,
+nlp,https://github.com/flairNLP/flair,,,
+util,https://github.com/marshmallow-code/marshmallow,,,
+pandas,https://github.com/adamerose/pandasgui,,,
+data,https://github.com/s0md3v/Photon,,,
+profiling,https://github.com/gaogaotiantian/viztracer,,,
+util,https://github.com/pallets/jinja,,,
+jupyter,https://github.com/nteract/testbook,,,
+data,https://github.com/goldsmith/Wikipedia,,,
+nlp,https://github.com/nipunsadvilkar/pysbd,,,
+ml,https://github.com/wandb/client,,,
+nlp,https://github.com/explosion/spacy-transformers,,,
+term,https://github.com/tqdm/tqdm,1,,
+nlp,https://github.com/explosion/spacy-stanza,,,
+nlp,https://github.com/doccano/doccano,,,
+sim,https://github.com/bulletphysics/bullet3,,,
+nlp,https://github.com/LexPredict/lexpredict-lexnlp,,,
+gis,https://github.com/openeventdata/mordecai,,,
+nlp,https://github.com/minimaxir/textgenrnn,,,
+ml,https://github.com/ourownstory/neural_prophet,,,
+ml-dl,https://github.com/facebookresearch/pytorch3d,,,
+viz,https://github.com/facebookresearch/hiplot,,,
+term,https://github.com/tiangolo/typer,1,,
+util,https://github.com/liiight/notifiers,,,
+util,https://github.com/Delgan/loguru,1,,
+debug,https://github.com/cool-RR/PySnooper,1,,
+web,https://github.com/psf/requests,,,
+nlp,https://github.com/explosion/spacy-models,,,
+term,https://github.com/willmcgugan/rich,,,
+sim,https://github.com/artemyk/dynpy,,,
+security,https://github.com/PyCQA/bandit,,,
+testing,https://github.com/tox-dev/tox,,,
+ml,https://github.com/google/jax,,,
+ml-dl,https://github.com/google/flax,,,
+math,https://github.com/WillianFuks/tfcausalimpact,,,
+ml,https://github.com/HarisIqbal88/PlotNeuralNet,,,
+ml-interpretability,https://github.com/slundberg/shap,,,
+math,https://github.com/dit/dit,,,
+util,https://github.com/home-assistant/core,,,
+ml-dl,https://github.com/dmlc/dgl,,,
+ml,https://github.com/awslabs/dgl-ke,,,
+template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,
+util,https://github.com/PyCQA/isort,,,
+web,https://github.com/jordaneremieff/mangum,,,
+sim,https://github.com/PettingZoo-Team/PettingZoo,,,
+viz,https://github.com/lux-org/lux,,,
+nlp,https://github.com/EleutherAI/gpt-neo,,,
+ml,https://github.com/MAIF/shapash,,,
+viz,https://github.com/man-group/dtale,,,
+ml,https://github.com/huggingface/accelerate,,,
+util,https://github.com/camelot-dev/camelot,,,
+crypto,https://github.com/Nerolation/ethereum-datafarm,,,
+viz,https://github.com/ml-tooling/opyrator,,,
+debug,https://github.com/alexmojaki/snoop,,,
+debug,https://github.com/alexmojaki/heartrate,,,
+ml,https://github.com/lucidrains/deep-daze,,,
+util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,
+crypto,https://github.com/CyberPunkMetalHead/Binance-volatility-trading-bot,,,
+web,https://github.com/pywebio/PyWebIO,,,
+util,https://github.com/tiangolo/poetry-version-plugin,,,
+time-series,https://github.com/firmai/atspy,,,
+data,https://github.com/sfu-db/connector-x,1,,
+data,https://github.com/facebookresearch/AugLy,,,
+nlp,https://github.com/speechbrain/speechbrain,,,
+debug,https://github.com/gruns/icecream,,,
+ml-ops,https://github.com/nccr-itmo/FEDOT,,,
+ml,https://github.com/linkedin/greykite,1,,
+ml,https://github.com/spotify/annoy,,,
+template,https://github.com/TezRomacH/python-package-template,1,,
+util,https://github.com/pyenv/pyenv,,,
+jupyter,https://github.com/jupyterlite/jupyterlite,,,
+data,https://github.com/pynamodb/PynamoDB,1,,
+nlp,https://github.com/kingoflolz/mesh-transformer-jax,1,,
+sim,https://github.com/google/brax,,,
+util,https://github.com/pyodide/pyodide,,,
+sim,https://github.com/facebookresearch/droidlet,,,
+ml,https://github.com/online-ml/river,1,,
+term,https://github.com/willmcgugan/textual,,,
+data,https://github.com/microsoft/genalog,,,
+template,https://github.com/drivendata/cookiecutter-data-science,1,,
+template,https://github.com/crmne/cookiecutter-modern-datascience,,,
+template,https://github.com/cookiecutter/cookiecutter,,,
+crypto,https://github.com/ethereum/py-evm,,,
+crypto,https://github.com/blockchainsllc/in3,,,
+nlp,https://github.com/salesforce/CodeT5,,,
+sim,https://github.com/salesforce/ai-economist,1,,
+ml,https://github.com/salesforce/warp-drive,,,
+data,https://github.com/tiangolo/sqlmodel,1,,
+data,https://github.com/simonw/sqlite-utils,,,
+sim,https://github.com/nv-tlabs/GameGAN_code,,,
+ml,https://github.com/microsoft/Focal-Transformer,,,
+ml,https://github.com/deepmind/deepmind-research,,,
+ml,https://github.com/carla-recourse/CARLA,,,
+util,https://github.com/aws/serverless-application-model,,,
+ml,https://github.com/TencentARC/GFPGAN,,,
+util,https://github.com/pyston/pyston,,,
+util,https://github.com/jorgebastida/awslogs,,,
+util,https://github.com/rpgreen/apilogs,,,
+sim,https://github.com/BilHim/trafficSimulator,,,
+web,https://github.com/websocket-client/websocket-client,,,
+ml-dl,https://github.com/tensorflow/similarity,,,
+ml-dl,https://github.com/PyTorchLightning/pytorch-lightning,1,,
+ml,https://github.com/microsoft/FLAML,,,
+ml,https://github.com/amzn/pecos,,,
+crypto,https://github.com/freqtrade/freqtrade,,,
+crypto,https://github.com/bmoscon/cryptofeed,,,
+crypto,https://github.com/ccxt/ccxt,,,
+crypto,https://github.com/ethereum/web3.py,1,,
+crypto,https://github.com/pmaji/crypto-whale-watching-app,,,
+util,https://github.com/Python-Markdown/markdown,,,
+time-series,https://github.com/salesforce/Merlion,,,
+web,https://github.com/sherlock-project/sherlock,,,
+sim,https://github.com/QuantEcon/QuantEcon.py,,,
+data,https://github.com/collerek/ormar,,,
+util,https://github.com/pytransitions/transitions,,,
+nlp,https://github.com/allenai/s2orc-doc2json,,,
+nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,
+jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,
+term,https://github.com/deeplook/sparklines,,,
+web,https://github.com/strawberry-graphql/strawberry,,,
+crypto,https://github.com/man-c/pycoingecko,,,
+data,https://github.com/praw-dev/praw,,,
+ml,https://github.com/google/mediapipe,,,
+data,https://github.com/amzn/ion-python,,,
+crypto,https://github.com/EthTx/ethtx,,,
+crypto,https://github.com/EthTx/ethtx_ce,,,
+data,https://github.com/airbnb/omniduct,,,
+data,https://github.com/airbnb/knowledge-repo,,,
+jupyter,https://github.com/nteract/papermill,,,
+nlp,https://github.com/MaartenGr/BERTopic,,,
+util,https://github.com/squidfunk/mkdocs-material,,,
+util,https://github.com/arrow-py/arrow,,,
+util,https://github.com/sdispater/pendulum,,,
+data,https://github.com/sdispater/orator,,,
+crypto,https://github.com/ethereum/consensus-specs,,,
+data,https://github.com/simonw/datasette,1,,
+gis,https://github.com/geopandas/geopandas,1,,
+testing,https://github.com/HypothesisWorks/hypothesis,1,,
+ml-dl,https://github.com/rwightman/pytorch-image-models,,,
+template,https://github.com/eugeneyan/python-collab-template,,,
+pandas,https://github.com/stitchfix/hamilton,,,
+util,https://github.com/fastai/ghapi,,,
+util,https://github.com/pytoolz/toolz,,,
+util,https://github.com/paramiko/paramiko,,,
+util,https://github.com/PyFilesystem/pyfilesystem2,,,
+sim,https://github.com/openai/mujoco-py,,,
+util,https://github.com/pyparsing/pyparsing,,,
+crypto,https://github.com/Blankly-Finance/Blankly,,,
+util,https://github.com/JulienPalard/Pipe,,,
+nlp,https://github.com/openai/grade-school-math,,,
+data,https://github.com/Kaggle/kaggle-api,,,
+template,https://github.com/pyscaffold/pyscaffold,,,
+util,https://github.com/airbnb/ottr,,,
+nlp,https://github.com/featureform/embeddinghub,,,
+util,https://github.com/xrudelis/pytrait,,,
+crypto,https://github.com/palkeo/panoramix,,,
+crypto,https://github.com/ethereum/eth-utils,,,
+util,https://github.com/Legrandin/pycryptodome,,,
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+ml-dl,https://github.com/JerryYLi/valhalla-nmt,,,
+ml-dl,https://github.com/matterport/Mask_RCNN,,,
+util,https://github.com/PyFPDF/fpdf2,,,
+ml-dl,https://github.com/nerdyrodent/VQGAN-CLIP,,,
+util,https://github.com/paperswithcode/axcell,,,
+data,https://github.com/paperswithcode/sota-extractor,,,
+ml-dl,https://github.com/iperov/DeepFaceLab,,,
+ml-dl,https://github.com/deepfakes/faceswap,,,
+ml-dl,https://github.com/deepmind/dm-haiku,,,
+data,https://github.com/scholarly-python-package/scholarly,,,
+util,https://github.com/joblib/joblib,,,
+util,https://github.com/grantjenks/python-diskcache,,,
+perf,https://github.com/intel/scikit-learn-intelex,,,
+profiling,https://github.com/pythonspeed/filprofiler,,,
+data,https://github.com/harangju/wikinet,,,
+util,https://github.com/openai/openai-python,,,
+data,https://github.com/pyeve/cerberus,,,
+ml-ops,https://github.com/bodywork-ml/bodywork-core,,,
+sim,https://github.com/isl-org/Open3D,,,
+util,https://github.com/brandon-rhodes/python-patterns,,,
+ml,https://github.com/mljar/mljar-supervised,,,
+pandas,https://github.com/nalepae/pandarallel,1,,
+pandas,https://github.com/jmcarpenter2/swifter,,,
+gis,https://github.com/Artelys/geonetworkx,,,
+ml,https://github.com/google-research/deeplab2,,,
+gis,https://github.com/mcordts/cityscapesScripts,,,
+ml-ops,https://github.com/unionai-oss/unionml,,,
+ml-ops,https://github.com/flyteorg/flyte,,,
+util,https://github.com/jazzband/pip-tools,,,
+data,https://github.com/jazzband/tablib,,,
+perf,https://github.com/pola-rs/polars,1,,
+gis,https://github.com/weecology/DeepForest,,,
+math,https://github.com/facebookresearch/theseus,,,
+util,https://github.com/omry/omegaconf,,,
+perf,https://github.com/noxdafox/pebble,,,
+ml,https://github.com/py-why/dowhy,,,
+util,https://github.com/ashleve/lightning-hydra-template,,,
+typing,https://github.com/patrick-kidger/torchtyping,,,
+perf,https://github.com/Omyyyy/pycom,,,
+web,https://github.com/rstudio/py-shiny,,,
+gis,https://github.com/GeospatialPython/pyshp,,,
+ml-dl,https://github.com/mosaicml/composer,,,
+ml,https://github.com/cleverhans-lab/cleverhans,,,
+gis,https://github.com/bowenc0221/boundary-iou-api,,,
+study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,
+ml,https://github.com/autonlab/auton-survival,,,
+ml-dl,https://github.com/pytorch/ignite,1,,
+data,https://github.com/ibis-project/ibis,1,,
+diffusion,https://github.com/CompVis/stable-diffusion,,,
+ml-ops,https://github.com/skops-dev/skops,,,
+perf,https://github.com/ZeroIntensity/pointers.py,,,
+pandas,https://github.com/machow/siuba,,,
+ml,https://github.com/koaning/scikit-lego,,,
+data,https://github.com/koaning/human-learn,,,
+nlp,https://github.com/koaning/whatlies,,,
+study,https://github.com/koaning/calm-notebooks,,,
+ml-ops,https://github.com/aiqc/aiqc,,,
+perf,https://github.com/Blosc/python-blosc,,,
+data,https://github.com/ktrueda/parquet-tools,,,
+study,https://github.com/BayesianModelingandComputationInPython/BookCode_Edition1,,,
+study,https://github.com/zhanymkanov/fastapi-best-practices,,,
+diffusion,https://github.com/nateraw/stable-diffusion-videos,,,
+data,https://github.com/pytorch/data,,,
+gis,https://github.com/edomel/boundaryvt,,,
+diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,
+study,https://github.com/karpathy/nn-zero-to-hero,,,
+study,https://github.com/karpathy/micrograd,,,
+ml,https://github.com/marqo-ai/marqo,,,
+ml-dl,https://github.com/samuela/git-re-basin,,,
+util,https://github.com/pypa/hatch,,,
+diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,
+diffusion,https://github.com/invoke-ai/InvokeAI,,,
+study,https://github.com/jackhidary/quantumcomputingbook,,,
+sim,https://github.com/Qiskit/qiskit,,,
+sim,https://github.com/quantumlib/cirq,,,
+ml-dl,https://github.com/xinntao/Real-ESRGAN,,,
+ml-dl,https://github.com/XPixelGroup/BasicSR,,,
+diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,
+diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,
+study,https://github.com/fluentpython/example-code-2e,,,
+ml-dl,https://github.com/fepegar/torchio,,,
+ml-dl,https://github.com/praw-dev/asyncpraw,,,
+data,https://github.com/gristlabs/grist-core,,,
+data,https://github.com/google/tensorstore,,,
+nlp,https://github.com/huggingface/setfit,,,
+ml-dl,https://github.com/Sanster/lama-cleaner,,,
+sim,https://github.com/openfisca/openfisca-core,,,
+sim,https://github.com/ActivitySim/activitysim,,,
+sim,https://github.com/ActivitySim/populationsim,,,
+util,https://github.com/google/latexify_py,,,
+study,https://github.com/NielsRogge/Transformers-Tutorials,,,
+nlp,https://github.com/deepset-ai/FARM,,,
+diffusion,https://github.com/huggingface/diffusers,,,
+gis,https://github.com/ghislainv/forestatrisk,,,
+diffusion,https://github.com/jina-ai/discoart,,,
+diffusion,https://github.com/carson-katri/dream-textures,,,
+diffusion,https://github.com/XavierXiao/Dreambooth-Stable-Diffusion,,,
+util,https://github.com/brokenloop/jsontopydantic,,,
+util,https://github.com/gefyrahq/gefyra,,,
+study,https://github.com/cosmicpython/book,,,
+study,https://github.com/mynameisfiber/high_performance_python_2e,,,
+study,https://github.com/wesm/pydata-book,,,
+diffusion,https://github.com/ashawkey/stable-dreamfusion,,,
+sim,https://github.com/viblo/pymunk,1,,
+ml-dl,https://github.com/facebookincubator/AITemplate,,,
+ml-ops,https://github.com/orchest/orchest,,,
+gis,https://github.com/kvos/CoastSat,,,
+web,https://github.com/starlite-api/starlite,,,
+graph,https://github.com/WestHealth/pyvis,,,
+ml-interpretability,https://github.com/SelfExplainML/PiML-Toolbox,,,
+data,https://github.com/jsonpickle/jsonpickle,,,
+web,https://github.com/pallets/quart,,,
+web,https://github.com/pallets/werkzeug,,,
+data,https://github.com/pallets/itsdangerous,,,
+util,https://github.com/open-telemetry/opentelemetry-python,,,
+util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,
+util,https://github.com/miguelgrinberg/python-socketio,,,
+web,https://github.com/encode/httpx,,,
+web,https://github.com/python-restx/flask-restx,,,
+web,https://github.com/flipkart-incubator/Astra,,,
+web,https://github.com/s3rius/FastAPI-template,,,
+web,https://github.com/fastapi-users/fastapi-users,,,
+data,https://github.com/neo4j/neo4j-python-driver,,,
+ml-ops,https://github.com/ploomber/ploomber,,,
+nlp,https://github.com/gunthercox/ChatterBot,,,
+data,https://github.com/datafold/data-diff,,,
+data,https://github.com/deepchecks/deepchecks,,,
+ml-dl,https://github.com/danielgatis/rembg,,,
+util,https://github.com/aws-samples/sagemaker-ssh-helper,,,
+ml-dl,https://github.com/CalculatedContent/WeightWatcher,,,
+ml,https://github.com/automl/TabPFN,,,
+time-series,https://github.com/salesforce/DeepTime,,,
+viz,https://github.com/facultyai/dash-bootstrap-components,,,
+pandas,https://github.com/ddelange/mapply,,,
+ml,https://github.com/Project-MONAI/MONAI,,,
+data,https://github.com/uqfoundation/dill,1,,
+study,https://github.com/firmai/industry-machine-learning,,,
+study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,
+diffusion,https://github.com/ThereforeGames/unprompted,,,
+gis,https://github.com/DataSystemsLab/GeoTorch,,,
+sim,https://github.com/Farama-Foundation/Gymnasium,,,
+study,https://github.com/huggingface/diffusion-models-class,,,
+typing,https://github.com/python-attrs/attrs,1,,
+typing,https://github.com/python-attrs/cattrs,,,
+pandas,https://github.com/blaze/blaze,,,
+util,https://github.com/adafruit/circuitpython,,,
+util,https://github.com/micropython/micropython,,,
+typing,https://github.com/JelleZijlstra/autotyping,,,
+gis,https://github.com/r-barnes/richdem,,,
+gis,https://github.com/perrygeo/python-rasterstats,,,
+diffusion,https://github.com/AUTOMATIC1111/stable-diffusion-webui,,,
+util,https://github.com/idanya/algo-trader,,,
+data,https://github.com/CODAIT/pardata,,,
+util,https://github.com/carlospuenteg/File-Injector,,,
+jupyter,https://github.com/cmudig/AutoProfiler,,,
+ml,https://github.com/aws/sagemaker-python-sdk,,,
+perf,https://github.com/joblib/loky,,,
+time-series,https://github.com/TDAmeritrade/stumpy,,,
+time-series,https://github.com/blue-yonder/tsfresh,,,
+gis,https://github.com/remotesensinglab/raster4ml,,,
+gis,https://github.com/mapbox/mercantile,,,
+util,https://github.com/fsspec/s3fs,,,
+util,https://github.com/WoLpH/python-progressbar,,,
+profiling,https://github.com/kshitij12345/torchnnprofiler,,,
+web,https://github.com/conradbez/hstream,,,
+data,https://github.com/eliasdabbas/advertools,,,
+util,https://github.com/backtick-se/cowait,,,
+profiling,https://github.com/pythonprofilers/memory_profiler,,,
+profiling,https://github.com/jiffyclub/snakeviz,,,
+viz,https://github.com/visgl/deck.gl,,,
+jupyter,https://github.com/jupyter/nbdime,,,
+jupyter,https://github.com/jupyter/nbformat,,,
+jupyter,https://github.com/jupyter/nbviewer,,,
+jupyter,https://github.com/jupyter/nbconvert,,,
+jupyter,https://github.com/jupyter/nbgrader,,,
+ml-ops,https://github.com/astronomer/astronomer,,,
+ml-ops,https://github.com/astronomer/airflow-chart,,,
+ml-ops,https://github.com/astronomer/astro-sdk,,,
+ml-ops,https://github.com/mage-ai/mage-ai,1,,
+util,https://github.com/dosisod/refurb,1,,
+ml-dl,https://github.com/hpcaitech/ColossalAI,,,
+util,https://github.com/hugovk/pypistats,,,
+ml,https://github.com/infer-actively/pymdp,,,
+profiling,https://github.com/reloadware/reloadium,1,,
+pandas,https://github.com/Eventual-Inc/Daft,,,
+util,https://github.com/ipython/ipython,,,
+util,https://github.com/ipython/ipykernel,,,
+perf,https://github.com/ipython/ipyparallel,,,
+study,https://github.com/rasbt/machine-learning-book,,,
+time-series,https://github.com/alkaline-ml/pmdarima,,,
+time-series,https://github.com/Nixtla/statsforecast,,,
+time-series,https://github.com/sktime/sktime,1,,
+time-series,https://github.com/unit8co/darts,,,
+time-series,https://github.com/RJT1990/pyflux,,,
+time-series,https://github.com/winedarksea/AutoTS,,,
+time-series,https://github.com/AutoViML/Auto_TS,,,
+time-series,https://github.com/pastas/pastas,,,
+time-series,https://github.com/AIStream-Peelout/flow-forecast,,,
+study,https://github.com/huggingface/deep-rl-class,,,
+sim,https://github.com/pyscf/pyscf,,,
+study,https://github.com/amaargiru/pyroad,,,
+gis,https://github.com/OSGeo/grass,,,
+graph,https://github.com/H4kor/graph-force,,,
+util,https://github.com/xl0/lovely-tensors,,,
+util,https://github.com/pyodide/micropip,,,
+sim,https://github.com/crowdbotp/socialways,,,
+sim,https://github.com/crowddynamics/crowddynamics,,,
+time-series,https://github.com/awslabs/gluonts,,,
+diffusion,https://github.com/apple/ml-stable-diffusion,,,
+viz,https://github.com/has2k1/plotnine,,,
+ml-ops,https://github.com/hi-primus/optimus,,,
+gis,https://github.com/kuanb/peartree,,,
+ml,https://github.com/shankarpandala/lazypredict,,,
+gis,https://github.com/amazon-science/earth-forecasting-transformer,,,
\ No newline at end of file

From b50c1ba9f598f247055cc2e87a887a68b15eed4c Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 11 Dec 2022 11:15:08 +1100
Subject: [PATCH 03/20] Black formatting.

---
 Makefile               |  2 +-
 src/library/crawler.py | 39 ++++++++++++++++++-------------
 src/library/readme.py  | 10 ++++----
 src/library/render.py  | 53 ++++++++++++++++++------------------------
 tests/test_render.py   | 27 +++++++++++++++++----
 5 files changed, 72 insertions(+), 59 deletions(-)

diff --git a/Makefile b/Makefile
index f95eb2a..8dea281 100644
--- a/Makefile
+++ b/Makefile
@@ -19,7 +19,7 @@ run:
 
 ## Run black code formatter
 black:
-	source venv/bin/activate ; black .
+	source venv/bin/activate ; black --line-length 120 .
 
 ## Run tests
 test:
diff --git a/src/library/crawler.py b/src/library/crawler.py
index 0b2300e..6212f2f 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -9,7 +9,7 @@ def write_files(csv_location: str, token: str, output_csv_filename: str, output_
 
     # Read github urls from google docs
     df_input = render.get_input_data(csv_location)
-    # df_input = df_input.head(5)  # Testing
+    df_input = df_input.head(2)  # Testing
     # df_input = df_input.iloc[9:13]  # Testing
 
     # Augment repo name with metadata from Github
@@ -21,39 +21,44 @@ def write_files(csv_location: str, token: str, output_csv_filename: str, output_
     df.to_csv(output_csv_filename)
 
     logger.info("Crawling readme files...")
-    df["_readme_filename"] = df["_repopath"].apply(
-        lambda x: readme.get_readme(x)
-    )
+    df["_readme_filename"] = df["_repopath"].apply(lambda x: readme.get_readme(x))
 
     # TODO: handle 'main' master branches also:
     df["_readme_giturl"] = df.apply(
         lambda row: f"https://raw.githubusercontent.com/{row['_repopath']}/master/{row['_readme_filename']}"
-        if len(row['_readme_filename']) > 0
-        else "", axis=1
+        if len(row["_readme_filename"]) > 0
+        else "",
+        axis=1,
     )
 
     # TODO: get from readme.get_readme above as tuple and zip as per
     #       https://stackoverflow.com/questions/16236684/apply-pandas-function-to-column-to-create-multiple-new-columns
     df["_readme_localurl"] = df.apply(
         lambda row: f"{row['_repopath'].replace('/', '~')}~{row['_readme_filename']}"
-        if len(row['_readme_filename']) > 0
-        else "", axis=1
+        if len(row["_readme_filename"]) > 0
+        else "",
+        axis=1,
     )
 
     logger.info("Crawling requirements files...")
-    df["_requirements_filenames"] = df["_repopath"].apply(
-        lambda x: requirements.get_requirements(x)
-    )
+    df["_requirements_filenames"] = df["_repopath"].apply(lambda x: requirements.get_requirements(x))
 
     # TODO: handle 'main' master branches also:
     df["_requirements_giturls"] = df.apply(
-        lambda row: list(map(lambda x: f"https://raw.githubusercontent.com/{row['_repopath']}/master/{x}", row['_requirements_filenames'])), axis=1
+        lambda row: list(
+            map(
+                lambda x: f"https://raw.githubusercontent.com/{row['_repopath']}/master/{x}",
+                row["_requirements_filenames"],
+            )
+        ),
+        axis=1,
     )
 
     # TODO: get from readme.get_readme above as tuple and zip as per
     #       https://stackoverflow.com/questions/16236684/apply-pandas-function-to-column-to-create-multiple-new-columns
     df["_requirements_localurls"] = df.apply(
-        lambda row: list(map(lambda x: f"{row['_repopath'].replace('/', '~')}~{x}", row['_requirements_filenames'])), axis=1
+        lambda row: list(map(lambda x: f"{row['_repopath'].replace('/', '~')}~{x}", row["_requirements_filenames"])),
+        axis=1,
     )
 
     # Write raw results to json table format
@@ -63,14 +68,16 @@ def write_files(csv_location: str, token: str, output_csv_filename: str, output_
         json.dump(data, f, indent=4)
 
     # Write raw results to minimised json
-    output_minjson_filename = output_json_filename.replace(".json", ".min.json") \
-        if ".json" in output_json_filename \
+    output_minjson_filename = (
+        output_json_filename.replace(".json", ".min.json")
+        if ".json" in output_json_filename
         else output_json_filename + ".min.json"
+    )
 
     with open(output_minjson_filename, "w") as f:
         json_results = df.to_json(orient="table", double_precision=2)
         data = json.loads(json_results)
-        json.dump(data, f, separators=(',', ':'))
+        json.dump(data, f, separators=(",", ":"))
 
     # Add markdown columns for local README.md and categories/*.md file lists.
     logger.info(f"Add markdown columns...")
diff --git a/src/library/readme.py b/src/library/readme.py
index 4b05043..0e85254 100644
--- a/src/library/readme.py
+++ b/src/library/readme.py
@@ -10,14 +10,12 @@
 
 # https://stackoverflow.com/questions/47337009/rst2html-on-full-python-project
 def rst2html_old(content):
-    pub = docutils.core.Publisher(
-        source_class=docutils.io.StringInput,
-        destination_class=docutils.io.StringOutput)
-    pub.set_components('standalone', 'restructuredtext', 'html')
+    pub = docutils.core.Publisher(source_class=docutils.io.StringInput, destination_class=docutils.io.StringOutput)
+    pub.set_components("standalone", "restructuredtext", "html")
     pub.process_programmatic_settings(None, None, None)
     pub.set_source(source=content)
     pub.publish()
-    html = pub.writer.parts['whole']
+    html = pub.writer.parts["whole"]
     return html
 
 
@@ -47,7 +45,7 @@ def save_content(repopath, branch, filename, content):
     readme_url = f"https://github.com/{repopath}/blob/{branch}/{filename}"
 
     # Find pip installs
-    pip_pattern = re.compile(r'(pip[3]*[ ]+install[ ]+[a-zA-Z0-9 \-_<>=\"\'.,+:/\[\]]+)')  # TODO: review
+    pip_pattern = re.compile(r"(pip[3]*[ ]+install[ ]+[a-zA-Z0-9 \-_<>=\"\'.,+:/\[\]]+)")  # TODO: review
     pips = []
     for m in re.findall(pip_pattern, content):
         pips.append(m.strip())
diff --git a/src/library/render.py b/src/library/render.py
index 130f1e0..3a811de 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -17,9 +17,7 @@ def get_input_data(csv_location: str) -> pd.DataFrame:
     duplicated_githuburls = df[df.duplicated(subset=["githuburl"])]
     duplicated_count = len(duplicated_githuburls)
     if duplicated_count > 0:
-        logger.warning(
-            f"Duplicate githuburl values found in csv: {duplicated_count}\n{duplicated_githuburls}"
-        )
+        logger.warning(f"Duplicate githuburl values found in csv: {duplicated_count}\n{duplicated_githuburls}")
         logger.error(f"Fix up {duplicated_count} duplicates from {csv_location} and re-run.")
         sys.exit()
     else:
@@ -54,19 +52,17 @@ def make_markdown(row, include_category=False) -> str:
     last_commit_date = row["_last_commit_date"]
     created = row["_created_at"]
     topics = row["_topics"]
-    topics_display = (
-        "\n<sub><sup>" + ", ".join(sorted(topics)) + "</sup></sub>"
-        if len(topics) > 0
-        else ""
-    )
+    topics_display = "\n<sub><sup>" + ", ".join(sorted(topics)) + "</sup></sub>" if len(topics) > 0 else ""
     description = row["_description"]
     language = row["_language"]
     if language is not None and language.lower() != "python":
         logger.info(f"Is {name} really a Python library? Main language is {language}.")
 
-    header = f"[{name}]({url})" \
-        if name == organization \
+    header = (
+        f"[{name}]({url})"
+        if name == organization
         else f"[{name}]({url}) by [{organization}](https://github.com/{organization})"
+    )
 
     return (
         f"### {header}  "
@@ -86,7 +82,10 @@ def _display_description(ghw, name) -> str:
         return f"{name}"
     else:
         assert repo.name is not None
-        if repo.description.lower().startswith(repo.name.lower()) or f"{repo.name.lower()}:" in repo.description.lower():
+        if (
+            repo.description.lower().startswith(repo.name.lower())
+            or f"{repo.name.lower()}:" in repo.description.lower()
+        ):
             return f"{repo.description}"
         else:
             return f"{repo.name}: {repo.description}"
@@ -103,15 +102,9 @@ def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
     df["_topics"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).get_topics())
     df["_language"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).language)
     df["_homepage"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).homepage)
-    df["_description"] = df["_repopath"].apply(
-        lambda x: _display_description(ghw, x)
-    )
-    df["_organization"] = df["_repopath"].apply(
-        lambda x: x.split("/")[0]
-    )
-    df["_updated_at"] = df["_repopath"].apply(
-        lambda x: ghw.get_repo(x).updated_at.date()
-    )
+    df["_description"] = df["_repopath"].apply(lambda x: _display_description(ghw, x))
+    df["_organization"] = df["_repopath"].apply(lambda x: x.split("/")[0])
+    df["_updated_at"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).updated_at.date())
     df["_last_commit_date"] = df["_repopath"].apply(
         # E.g. Sat, 18 Jul 2020 17:14:09 GMT
         lambda x: datetime.strptime(
@@ -119,14 +112,14 @@ def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
             "%a, %d %b %Y %H:%M:%S %Z",
         ).date()
     )
-    df["_created_at"] = df["_repopath"].apply(
-        lambda x: ghw.get_repo(x).created_at.date()
-    )
+    df["_created_at"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).created_at.date())
     df["_age_weeks"] = df["_repopath"].apply(
         lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
     )
     df["_stars_per_week"] = df["_repopath"].apply(
-        lambda x: ghw.get_repo(x).stargazers_count * 7 / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
+        lambda x: ghw.get_repo(x).stargazers_count
+        * 7
+        / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
     )
 
     return df.sort_values("_stars", ascending=False)
@@ -135,7 +128,9 @@ def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
 def lines_header(count: int, category: str = "") -> List[str]:
     category_line = f"A selection of {count} curated Python libraries and frameworks ordered by stars.  \n"
     if len(category) > 0:
-        category_line = f"A selection of {count} curated {category} Python libraries and frameworks ordered by stars.  \n"
+        category_line = (
+            f"A selection of {count} curated {category} Python libraries and frameworks ordered by stars.  \n"
+        )
 
     return [
         f"# Crazy Awesome Python",
@@ -146,10 +141,6 @@ def lines_header(count: int, category: str = "") -> List[str]:
 
 
 def add_markdown(df: pd.DataFrame) -> pd.DataFrame:
-    df["_doclines_main"] = df.apply(
-        lambda x: make_markdown(x, include_category=True), axis=1
-    )
-    df["_doclines_child"] = df.apply(
-        lambda x: make_markdown(x, include_category=False), axis=1
-    )
+    df["_doclines_main"] = df.apply(lambda x: make_markdown(x, include_category=True), axis=1)
+    df["_doclines_child"] = df.apply(lambda x: make_markdown(x, include_category=False), axis=1)
     return df
diff --git a/tests/test_render.py b/tests/test_render.py
index 95dfde0..446dbe6 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -15,8 +15,25 @@ def test_render_process():
 
     assert df.shape[0] == 1, "Unexpected number of rows"
     assert df.shape[1] == 20, "Unexpected number of columns"
-    assert list(df.columns) == ["category", "githuburl", "featured", "links", "description",
-                                "_repopath", "_reponame", "_stars", "_forks", "_watches", "_topics",
-                                "_language", "_homepage", "_description", "_organization",
-                                "_updated_at", "_last_commit_date", "_created_at", "_age_weeks",
-                                "_stars_per_week"]
+    assert list(df.columns) == [
+        "category",
+        "githuburl",
+        "featured",
+        "links",
+        "description",
+        "_repopath",
+        "_reponame",
+        "_stars",
+        "_forks",
+        "_watches",
+        "_topics",
+        "_language",
+        "_homepage",
+        "_description",
+        "_organization",
+        "_updated_at",
+        "_last_commit_date",
+        "_created_at",
+        "_age_weeks",
+        "_stars_per_week",
+    ]

From d34e4242a68baa88678d66d97a274a9d9c6b3a20 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 18 Dec 2022 11:20:26 +1100
Subject: [PATCH 04/20] Draft version of popularity score based on
 ossf/criticality_score.

---
 .gitignore             |   1 +
 Makefile               |   6 +-
 requirements.txt       |   3 +-
 src/library/ghw.py     |  43 +++++----
 src/library/metrics.py | 207 +++++++++++++++++++++++++++++++++++++++++
 src/library/render.py  |  52 +++++++++++
 src/library/scorer.py  |  71 ++++++++++++++
 tests/test_render.py   |  61 +++++++-----
 8 files changed, 398 insertions(+), 46 deletions(-)
 create mode 100644 src/library/metrics.py
 create mode 100644 src/library/scorer.py

diff --git a/.gitignore b/.gitignore
index 87cf1bd..202ce89 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,6 @@
 # TEMP
 data/
+.joblib_cache/
 
 .idea/
 .vscode/
diff --git a/Makefile b/Makefile
index 8dea281..0aece53 100644
--- a/Makefile
+++ b/Makefile
@@ -23,7 +23,11 @@ black:
 
 ## Run tests
 test:
-	source venv/bin/activate ; PYTHONPATH='./src' pytest --capture=no tests
+	source venv/bin/activate ; PYTHONPATH='./src' pytest -vv --capture=no tests
+
+## Clear joblib cache
+clear-cache:
+	rm -rf .joblib_cache
 
 ## Serve local client
 serve-local-client:
diff --git a/requirements.txt b/requirements.txt
index 2c16668..28a5e99 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,4 +5,5 @@ docutils
 Pygments
 python-dotenv
 black
-loguru
\ No newline at end of file
+loguru
+joblib
\ No newline at end of file
diff --git a/src/library/ghw.py b/src/library/ghw.py
index bf164dc..3e762e3 100644
--- a/src/library/ghw.py
+++ b/src/library/ghw.py
@@ -2,34 +2,39 @@
 import github
 from loguru import logger
 from typing import List
+from joblib import Memory
+
+memory = Memory(".joblib_cache")
 
 
 class GithubWrapper:
     def __init__(self, token):
+        self.token = token
         self.gh = github.Github(token)
-        self.cache = {}
 
-    def get_repo(self, name, use_cache=True) -> github.Repository:
+    @staticmethod
+    @memory.cache
+    def _get_repo_cached(token, name) -> github.Repository:
+        gh = github.Github(token)
         if name.endswith("/"):
-            logger.warning(f"Repo needs to be fixed by removing trailing slash in source csv: {name}")
-        key = f"repo_{name}"
-        cached = self.cache.get(key, None)
-        if cached is None or not use_cache:
-            logger.info(f"get_repo: [{name}]")
+            logger.info(f"Removed trailing slash for: {name}")
+            name = name.rstrip("/")
+
+        logger.info(f"get_repo (not cached): [{name}]")
+        try:
+            repo = gh.get_repo(name)
+        except Exception as ex:
+            logger.warning(f"Exception for get_repo with name (will re-try once): {name}")
             try:
-                self.cache[key] = self.gh.get_repo(name)
+                time.sleep(30)
+                repo = gh.get_repo(name)
             except Exception as ex:
-                logger.warning(f"Exception for get_repo with name (will re-try once): {name}")
-                try:
-                    time.sleep(30)
-                    self.cache[key] = self.gh.get_repo(name)
-                except Exception as ex:
-                    logger.error(f"Exception for get_repo after re-try with name: {name}")
-                    raise ex
-            return self.cache[key]
-        else:
-            logger.info(f"get_repo: [{name}] (cached)")
-            return cached
+                logger.error(f"Exception for get_repo after re-try with name: {name}")
+                raise ex
+        return repo
+
+    def get_repo(self, name) -> github.Repository:
+        return self._get_repo_cached(self.token, name)
 
     def get_org_repos(self, name) -> List[github.Repository.Repository]:
         logger.debug(f"get_org_repos: {name}")
diff --git a/src/library/metrics.py b/src/library/metrics.py
new file mode 100644
index 0000000..d67a887
--- /dev/null
+++ b/src/library/metrics.py
@@ -0,0 +1,207 @@
+import requests
+import time
+import re
+from datetime import datetime, timedelta
+from loguru import logger
+from library.ghw import GithubWrapper
+from joblib import Memory
+
+memory = Memory(".joblib_cache")
+
+
+class PopularityMetrics:
+    """
+    Inspired by https://github.com/ossf/criticality_score/tree/v1.0.7 (Latest Python version before Go port)
+    and https://github.com/ossf/criticality_score/blob/main/Quantifying_criticality_algorithm.pdf
+    """
+
+    @staticmethod
+    @memory.cache
+    def contributor_count(ghw: GithubWrapper, name: str) -> int:
+        repo = ghw.get_repo(name)
+        try:
+            return repo.get_contributors(anon='true').totalCount
+        except Exception as ex:
+            # Typically a large number of contributors
+            logger.warning(f"get_contributors exception: {ex}")
+            return 5000
+
+    @staticmethod
+    @memory.cache
+    def contributor_orgs(ghw: GithubWrapper, name: str) -> dict:
+        MAX_CONTRIBUTOR_COUNT = 10  # 15
+        repo = ghw.get_repo(name)
+
+        def _filter_name(org_name):
+            return org_name.lower().replace(', inc.', '').replace('inc.', '')\
+                .replace('llc', '').replace('@', '').replace(' ', '').rstrip(',')
+
+        orgs = set()
+        contributors = repo.get_contributors()[:MAX_CONTRIBUTOR_COUNT]
+        try:
+            # NOTE: Can be expensive if not capped due to `contributor.company` being an API call
+            for contributor in contributors:
+                # TODO: cache contributor -> company ??
+                contributor_company = contributor.company
+                if contributor_company:
+                    filtered_contributor_company = _filter_name(contributor_company)
+                    logger.info(f"{name=}, {contributor.login=}, {filtered_contributor_company=}")
+                    orgs.add(filtered_contributor_company)
+        except Exception as ex:
+            # Typically a large number of contributors
+            logger.warning(f"get_contributors exception: {ex}")
+            return {
+                "_pop_contributor_orgs_len": -1,
+                "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
+                "_pop_contributor_orgs": None,
+                "_pop_contributor_orgs_error": str(ex)
+            }
+        return {
+            "_pop_contributor_orgs_len": len(orgs),
+            "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
+            "_pop_contributor_orgs": orgs,
+            "_pop_contributor_orgs_error": None
+        }
+
+    @staticmethod
+    @memory.cache
+    def commit_frequency(ghw: GithubWrapper, name: str) -> float:
+        repo = ghw.get_repo(name)
+        # NOTE: get_stats_commit_activity Returns the last year of commit activity grouped by week
+        stats_commit_activity = repo.get_stats_commit_activity()
+        assert len(stats_commit_activity) == 52
+        total = 0
+        for week_stat in stats_commit_activity:
+            total += week_stat.total
+        return round(total / len(stats_commit_activity), 2)
+
+    @staticmethod
+    @memory.cache
+    def updated_issues_count(ghw: GithubWrapper, name: str) -> int:
+        ISSUE_LOOKBACK_DAYS = 90
+        repo = ghw.get_repo(name)
+        issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
+        # NOTE: get_issues includes PR's
+        return repo.get_issues(state='all', since=issues_since_time).totalCount
+
+    @staticmethod
+    @memory.cache
+    def closed_issues_count(ghw: GithubWrapper, name: str) -> int:
+        ISSUE_LOOKBACK_DAYS = 90
+        # TODO: make generic with updated_issues_count?
+        repo = ghw.get_repo(name)
+        issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
+        # NOTE: get_issues includes PR's
+        return repo.get_issues(state='closed', since=issues_since_time).totalCount
+
+    @staticmethod
+    @memory.cache
+    def created_since_days(ghw: GithubWrapper, name: str) -> int:
+        repo = ghw.get_repo(name)
+        creation_time = repo.created_at
+
+        # See if there exist any commits before this repository creation
+        # time on GitHub. If yes, then the repository creation time is not
+        # correct, and it was residing somewhere else before. So, use the first
+        # commit date.
+        prior_creation_commit_count = repo.get_commits(until=creation_time).totalCount
+        if prior_creation_commit_count:
+            logger.warning(f"{name} has {prior_creation_commit_count=}, repository creation time is not correct, "
+                           f"and it was residing somewhere else before")
+            # TODO: see how often this happens
+            # first_commit_time = self.get_first_commit_time()
+            # if first_commit_time:
+            #     creation_time = min(creation_time, first_commit_time)
+
+        difference = datetime.utcnow() - creation_time
+        return round(difference.days / 30)
+
+    @staticmethod
+    @memory.cache
+    def updated_since_days(ghw: GithubWrapper, name: str) -> int:
+        repo = ghw.get_repo(name)
+        last_commit = repo.get_commits()[0]
+        last_commit_time = last_commit.commit.author.date
+        difference = datetime.utcnow() - last_commit_time
+        return round(difference.days / 30)
+
+    @staticmethod
+    @memory.cache
+    def recent_releases_count(ghw: GithubWrapper, name: str) -> dict:
+        RELEASE_LOOKBACK_DAYS = 365
+        repo = ghw.get_repo(name)
+        recent_releases_count = 0
+        for release in repo.get_releases():
+            if (datetime.utcnow() -
+                    release.created_at).days > RELEASE_LOOKBACK_DAYS:
+                continue
+            recent_releases_count += 1
+
+        estimated_tags = 0
+        # Make rough estimation of tags used in last year from overall
+        # project history. This query is extremely expensive, so instead
+        # do the rough calculation.
+        days_since_creation = PopularityMetrics.created_since_days(ghw, name) * 30
+        if days_since_creation:
+            total_tags = repo.get_tags().totalCount
+            estimated_tags = round(
+                (total_tags / days_since_creation) * RELEASE_LOOKBACK_DAYS)
+
+        recent_releases_adjusted_count = recent_releases_count
+        if not recent_releases_count:
+            recent_releases_adjusted_count = estimated_tags
+
+        return {
+            "_pop_recent_releases_count": recent_releases_count,
+            "_pop_recent_releases_estimated_tags": estimated_tags,
+            "_pop_recent_releases_adjusted_count": recent_releases_adjusted_count  # TODO: review need and name
+        }
+
+    @staticmethod
+    @memory.cache
+    def comment_frequency(ghw: GithubWrapper, name: str) -> dict:
+        ISSUE_LOOKBACK_DAYS = 90
+        repo = ghw.get_repo(name)
+        issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
+        issue_count = repo.get_issues(state='all', since=issues_since_time).totalCount
+        comment_count = repo.get_issues_comments(since=issues_since_time).totalCount
+        comment_frequency = round(comment_count / issue_count, 1) if issue_count else 0
+
+        return {
+            "_pop_issue_count": issue_count,
+            "_pop_comment_count": comment_count,
+            "_pop_comment_frequency": comment_frequency
+        }
+
+    @staticmethod
+    @memory.cache
+    def dependents_count(ghw: GithubWrapper, name: str) -> int:
+        # return 0  # TODO: this is expensive and can have many fails
+        DEPENDENTS_REGEX = re.compile(b'.*[^0-9,]([0-9,]+).*commit results', re.DOTALL)
+        FAIL_RETRIES = 12
+        # TODO: Take package manager dependency trees into account. If we decide
+        # to replace this, then find a solution for C/C++ as well.
+        # parsed_url = urllib.parse.urlparse(self.url)
+        # repo_name = parsed_url.path.strip('/')
+        dependents_url = f'https://github.com/search?q="{name}"&type=commits'
+        logger.trace(f"Call dependents_count: {dependents_url=}, {name=}")
+        content = b''
+        time.sleep(5)
+        success = False
+        for i in range(FAIL_RETRIES):
+            result = requests.get(dependents_url)
+            if result.status_code == 200:
+                content = result.content
+                success = True
+                break
+            logger.warning(f"Retry dependents_count #{i}/{FAIL_RETRIES}...")
+            sleep_secs = max(2 ** (i+2), 15*60)
+            time.sleep(sleep_secs)
+
+        if not success:
+            raise Exception(f"dependents_count failed, too many retries ({FAIL_RETRIES})")
+
+        match = DEPENDENTS_REGEX.match(content)
+        if not match:
+            return 0
+        return int(match.group(1).replace(b',', b''))
diff --git a/src/library/render.py b/src/library/render.py
index 3a811de..e4b6a55 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -5,6 +5,8 @@
 from loguru import logger
 from urllib.parse import urlparse
 from library.ghw import GithubWrapper
+from library.metrics import PopularityMetrics
+from library.scorer import PopularityScorer
 
 
 def get_input_data(csv_location: str) -> pd.DataFrame:
@@ -94,6 +96,8 @@ def _display_description(ghw, name) -> str:
 def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
     ghw = GithubWrapper(token)
     df = df_input.copy()
+
+    # Add standard columns
     df["_repopath"] = df["githuburl"].apply(lambda x: urlparse(x).path.lstrip("/"))
     df["_reponame"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).name)
     df["_stars"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).stargazers_count)
@@ -122,6 +126,54 @@ def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
         / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
     )
 
+    # Add popularity metric columns
+    metrics = PopularityMetrics()
+
+    df["_pop_contributor_count"] = df["_repopath"].apply(
+        lambda x: metrics.contributor_count(ghw, x)
+    )
+
+    df_pop_contributor_orgs = df.apply(lambda row: metrics.contributor_orgs(ghw, row["_repopath"]),
+                                       axis="columns", result_type="expand")
+    df = pd.concat([df, df_pop_contributor_orgs], axis="columns")
+
+    df["_pop_commit_frequency"] = df["_repopath"].apply(
+        lambda x: metrics.commit_frequency(ghw, x)
+    )
+
+    df["_pop_updated_issues_count"] = df["_repopath"].apply(
+        lambda x: metrics.updated_issues_count(ghw, x)
+    )
+
+    df["_pop_closed_issues_count"] = df["_repopath"].apply(
+        lambda x: metrics.closed_issues_count(ghw, x)
+    )
+
+    df["_pop_created_since_days"] = df["_repopath"].apply(
+        lambda x: metrics.created_since_days(ghw, x)
+    )
+
+    df["_pop_updated_since_days"] = df["_repopath"].apply(
+        lambda x: metrics.updated_since_days(ghw, x)
+    )
+
+    df_pop_recent_releases_count = df.apply(lambda row: metrics.recent_releases_count(ghw, row["_repopath"]),
+                                            axis="columns", result_type="expand")
+    df = pd.concat([df, df_pop_recent_releases_count], axis="columns")
+
+    df_pop_comment_frequency = df.apply(lambda row: metrics.comment_frequency(ghw, row["_repopath"]),
+                                        axis="columns", result_type="expand")
+    df = pd.concat([df, df_pop_comment_frequency], axis="columns")
+
+    df["_pop_dependents_count"] = df["_repopath"].apply(
+        lambda x: metrics.dependents_count(ghw, x)
+    )
+
+    scorer = PopularityScorer()
+    df["_pop_score"] = df.apply(
+        lambda row: scorer.score(row), axis="columns"
+    )
+
     return df.sort_values("_stars", ascending=False)
 
 
diff --git a/src/library/scorer.py b/src/library/scorer.py
new file mode 100644
index 0000000..b2688e0
--- /dev/null
+++ b/src/library/scorer.py
@@ -0,0 +1,71 @@
+import math
+from loguru import logger
+
+
+class PopularityScorer:
+    """
+    Inspired by https://github.com/ossf/criticality_score/tree/v1.0.7 (Latest Python version before Go port)
+    and https://github.com/ossf/criticality_score/blob/main/Quantifying_criticality_algorithm.pdf
+    """
+
+    @staticmethod
+    def score(row):
+        # Weights for various parameters.
+        CREATED_SINCE_WEIGHT = 1
+        UPDATED_SINCE_WEIGHT = -1
+        CONTRIBUTOR_COUNT_WEIGHT = 2
+        ORG_COUNT_WEIGHT = 1
+        COMMIT_FREQUENCY_WEIGHT = 1
+        RECENT_RELEASES_WEIGHT = 0.5
+        CLOSED_ISSUES_WEIGHT = 0.5
+        UPDATED_ISSUES_WEIGHT = 0.5
+        COMMENT_FREQUENCY_WEIGHT = 1
+        DEPENDENTS_COUNT_WEIGHT = 2
+
+        # Max thresholds for various parameters.
+        CREATED_SINCE_THRESHOLD = 120
+        UPDATED_SINCE_THRESHOLD = 120
+        CONTRIBUTOR_COUNT_THRESHOLD = 5000
+        ORG_COUNT_THRESHOLD = 10
+        COMMIT_FREQUENCY_THRESHOLD = 1000
+        RECENT_RELEASES_THRESHOLD = 26
+        CLOSED_ISSUES_THRESHOLD = 5000
+        UPDATED_ISSUES_THRESHOLD = 5000
+        COMMENT_FREQUENCY_THRESHOLD = 15
+        DEPENDENTS_COUNT_THRESHOLD = 500000
+        
+        def _get_param_score(param, max_value, weight=1.0):
+            """Return paramater score given its current value, max value and
+            parameter weight."""
+            return (math.log(1 + param) / math.log(1 + max(param, max_value))) * weight
+
+        total_weight = (CREATED_SINCE_WEIGHT + UPDATED_SINCE_WEIGHT +
+                        CONTRIBUTOR_COUNT_WEIGHT + ORG_COUNT_WEIGHT +
+                        COMMIT_FREQUENCY_WEIGHT + RECENT_RELEASES_WEIGHT +
+                        CLOSED_ISSUES_WEIGHT + UPDATED_ISSUES_WEIGHT +
+                        COMMENT_FREQUENCY_WEIGHT + DEPENDENTS_COUNT_WEIGHT)
+
+        score_sum = ((_get_param_score(row['_pop_created_since_days'],
+                                       CREATED_SINCE_THRESHOLD, CREATED_SINCE_WEIGHT)) +
+                     (_get_param_score(row['_pop_updated_since_days'],
+                                       UPDATED_SINCE_THRESHOLD, UPDATED_SINCE_WEIGHT)) +
+                     (_get_param_score(row['_pop_contributor_count'],
+                                       CONTRIBUTOR_COUNT_THRESHOLD, CONTRIBUTOR_COUNT_WEIGHT)) +
+                     (_get_param_score(row['_pop_contributor_orgs_len'],
+                                       ORG_COUNT_THRESHOLD, ORG_COUNT_WEIGHT)) +
+                     (_get_param_score(row['_pop_commit_frequency'],
+                                       COMMIT_FREQUENCY_THRESHOLD, COMMIT_FREQUENCY_WEIGHT)) +
+                     (_get_param_score(row['_pop_recent_releases_adjusted_count'],
+                                       RECENT_RELEASES_THRESHOLD, RECENT_RELEASES_WEIGHT)) +
+                     (_get_param_score(row['_pop_closed_issues_count'],
+                                       CLOSED_ISSUES_THRESHOLD, CLOSED_ISSUES_WEIGHT)) +
+                     (_get_param_score(row['_pop_updated_issues_count'],
+                                       UPDATED_ISSUES_THRESHOLD, UPDATED_ISSUES_WEIGHT)) +
+                     (_get_param_score(row['_pop_comment_frequency'],
+                                       COMMENT_FREQUENCY_THRESHOLD, COMMENT_FREQUENCY_WEIGHT)) +
+                     (_get_param_score(row['_pop_dependents_count'],
+                                       DEPENDENTS_COUNT_THRESHOLD, DEPENDENTS_COUNT_WEIGHT)))
+
+        criticality_score = round(100 * score_sum / total_weight, 5)
+        logger.info(f"Calculated {criticality_score=} for {row['_repopath']}")
+        return criticality_score
diff --git a/tests/test_render.py b/tests/test_render.py
index 446dbe6..9f913e3 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -7,33 +7,44 @@ def test_render_process():
     csv_location = "tests/test_repos_source.csv"
 
     df_input = render.get_input_data(csv_location)
-    df_input = df_input.head(1)
+    test_repos = [
+        "https://github.com/dask/dask",
+        "https://github.com/dylanhogg/crazy-awesome-python",
+        "https://github.com/klen/muffin",
+    ]
+    # test_repos = ["https://github.com/dylanhogg/crazy-awesome-python"]
+    df_input = df_input[df_input["githuburl"].isin(test_repos)]
+    assert len(df_input) == len(test_repos)
     df = render.process(df_input, token)
 
     logger.info(f"{df.shape=}")
     logger.info(f"{df.columns=}")
 
-    assert df.shape[0] == 1, "Unexpected number of rows"
-    assert df.shape[1] == 20, "Unexpected number of columns"
-    assert list(df.columns) == [
-        "category",
-        "githuburl",
-        "featured",
-        "links",
-        "description",
-        "_repopath",
-        "_reponame",
-        "_stars",
-        "_forks",
-        "_watches",
-        "_topics",
-        "_language",
-        "_homepage",
-        "_description",
-        "_organization",
-        "_updated_at",
-        "_last_commit_date",
-        "_created_at",
-        "_age_weeks",
-        "_stars_per_week",
-    ]
+    for i in range(len(df)):
+        logger.info(df.iloc[i])
+
+    assert len(df) == len(df_input), "Unexpected number of rows"
+    # assert list(df.columns) == [
+    #     "category",
+    #     "githuburl",
+    #     "featured",
+    #     "links",
+    #     "description",
+    #     "_repopath",
+    #     "_reponame",
+    #     "_stars",
+    #     "_forks",
+    #     "_watches",
+    #     "_topics",
+    #     "_language",
+    #     "_homepage",
+    #     "_description",
+    #     "_organization",
+    #     "_updated_at",
+    #     "_last_commit_date",
+    #     "_created_at",
+    #     "_age_weeks",
+    #     "_stars_per_week",
+    #     "_pop_contributor_count",
+    #     "_pop_org_count",
+    # ]

From a9107c3b1321e8ea5ac08c9a298da21757b017f0 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 18 Dec 2022 11:25:04 +1100
Subject: [PATCH 05/20] Fix sleep calc.

---
 src/library/metrics.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/library/metrics.py b/src/library/metrics.py
index d67a887..cefbd9f 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -194,8 +194,8 @@ def dependents_count(ghw: GithubWrapper, name: str) -> int:
                 content = result.content
                 success = True
                 break
-            logger.warning(f"Retry dependents_count #{i}/{FAIL_RETRIES}...")
-            sleep_secs = max(2 ** (i+2), 15*60)
+            sleep_secs = min(2 ** (i + 2), 15 * 60)
+            logger.warning(f"Retry dependents_count #{i}/{FAIL_RETRIES}, sleeping for {sleep_secs} secs...")
             time.sleep(sleep_secs)
 
         if not success:

From 50d583ea5edd9c7e9e93355d37b9e1c60c1b266a Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 18 Dec 2022 11:30:02 +1100
Subject: [PATCH 06/20] Assert expected columns.

---
 tests/test_render.py | 41 +++++++++++++++++------------------------
 1 file changed, 17 insertions(+), 24 deletions(-)

diff --git a/tests/test_render.py b/tests/test_render.py
index 9f913e3..fcd7c27 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -24,27 +24,20 @@ def test_render_process():
         logger.info(df.iloc[i])
 
     assert len(df) == len(df_input), "Unexpected number of rows"
-    # assert list(df.columns) == [
-    #     "category",
-    #     "githuburl",
-    #     "featured",
-    #     "links",
-    #     "description",
-    #     "_repopath",
-    #     "_reponame",
-    #     "_stars",
-    #     "_forks",
-    #     "_watches",
-    #     "_topics",
-    #     "_language",
-    #     "_homepage",
-    #     "_description",
-    #     "_organization",
-    #     "_updated_at",
-    #     "_last_commit_date",
-    #     "_created_at",
-    #     "_age_weeks",
-    #     "_stars_per_week",
-    #     "_pop_contributor_count",
-    #     "_pop_org_count",
-    # ]
+    # logger.info(f"{df.columns=}")
+    assert list(df.columns) == [
+        "category", "githuburl", "featured", "links", "description",
+        "_repopath", "_reponame", "_stars", "_forks", "_watches", "_topics",
+        "_language", "_homepage", "_description", "_organization",
+        "_updated_at", "_last_commit_date", "_created_at", "_age_weeks",
+        "_stars_per_week", "_pop_contributor_count",
+        "_pop_contributor_orgs_len", "_pop_contributor_orgs_max",
+        "_pop_contributor_orgs", "_pop_contributor_orgs_error",
+        "_pop_commit_frequency", "_pop_updated_issues_count",
+        "_pop_closed_issues_count", "_pop_created_since_days",
+        "_pop_updated_since_days", "_pop_recent_releases_count",
+        "_pop_recent_releases_estimated_tags",
+        "_pop_recent_releases_adjusted_count", "_pop_issue_count",
+        "_pop_comment_count", "_pop_comment_frequency", "_pop_dependents_count",
+        "_pop_score"
+    ]

From a373bad70000a596593a053b9df85c903ed84342 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 18 Dec 2022 11:30:09 +1100
Subject: [PATCH 07/20] Add requests.

---
 requirements.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 28a5e99..989212b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,4 +6,5 @@ Pygments
 python-dotenv
 black
 loguru
-joblib
\ No newline at end of file
+joblib
+requests
\ No newline at end of file

From 2e3227ac65d160e53f8efba04ba75f1293fd6b4b Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 18 Dec 2022 11:35:29 +1100
Subject: [PATCH 08/20] Incr max contributor_orgs.

---
 src/library/metrics.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/library/metrics.py b/src/library/metrics.py
index cefbd9f..5445973 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -29,7 +29,7 @@ def contributor_count(ghw: GithubWrapper, name: str) -> int:
     @staticmethod
     @memory.cache
     def contributor_orgs(ghw: GithubWrapper, name: str) -> dict:
-        MAX_CONTRIBUTOR_COUNT = 10  # 15
+        MAX_CONTRIBUTOR_COUNT = 20  # 10
         repo = ghw.get_repo(name)
 
         def _filter_name(org_name):
@@ -59,7 +59,7 @@ def _filter_name(org_name):
         return {
             "_pop_contributor_orgs_len": len(orgs),
             "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
-            "_pop_contributor_orgs": orgs,
+            "_pop_contributor_orgs": sorted(orgs),
             "_pop_contributor_orgs_error": None
         }
 

From ad9c9b9b6ea35c5f34c784ce55f30bf3cd131680 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Tue, 20 Dec 2022 21:41:52 +1100
Subject: [PATCH 09/20] First draft of popularity metric crawler and calc.

---
 .gitignore             |   1 +
 src/library/crawler.py |   6 +--
 src/library/ghw.py     |  39 ++++++++--------
 src/library/metrics.py | 101 +++++++++++++++++++++++++++++------------
 src/library/render.py  |  85 +++++++++++++++++-----------------
 tests/test_render.py   |   4 +-
 6 files changed, 140 insertions(+), 96 deletions(-)

diff --git a/.gitignore b/.gitignore
index 202ce89..5d45971 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 # TEMP
 data/
 .joblib_cache/
+.joblib_cache*/
 
 .idea/
 .vscode/
diff --git a/src/library/crawler.py b/src/library/crawler.py
index 6212f2f..ee109ef 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -7,12 +7,12 @@
 def write_files(csv_location: str, token: str, output_csv_filename: str, output_json_filename: str):
     start = datetime.now()
 
-    # Read github urls from google docs
+    # Read GitHub urls from google docs
     df_input = render.get_input_data(csv_location)
-    df_input = df_input.head(2)  # Testing
+    # df_input = df_input.head(3)  # Testing
     # df_input = df_input.iloc[9:13]  # Testing
 
-    # Augment repo name with metadata from Github
+    # Augment repo name with metadata from GitHub
     logger.info(f"Processing {len(df_input)} records from {csv_location}")
     df = render.process(df_input, token)
 
diff --git a/src/library/ghw.py b/src/library/ghw.py
index 3e762e3..a3b8b3d 100644
--- a/src/library/ghw.py
+++ b/src/library/ghw.py
@@ -10,7 +10,6 @@
 class GithubWrapper:
     def __init__(self, token):
         self.token = token
-        self.gh = github.Github(token)
 
     @staticmethod
     @memory.cache
@@ -36,22 +35,22 @@ def _get_repo_cached(token, name) -> github.Repository:
     def get_repo(self, name) -> github.Repository:
         return self._get_repo_cached(self.token, name)
 
-    def get_org_repos(self, name) -> List[github.Repository.Repository]:
-        logger.debug(f"get_org_repos: {name}")
-        org = self.gh.get_organization(name)
-        repos = []
-        for repo in org.get_repos():
-            repos.append(repo)
-        return repos
-
-    def get_organization(self, name) -> github.Organization.Organization:
-        logger.debug(f"get_organization: {name}")
-        return self.gh.get_organization(name)
-
-    def search_github(self, keywords):
-        query = "+".join(keywords) + "+in:readme+in:description"
-        result = self.gh.search_repositories(query, "stars", "desc")
-
-        print(f"Found {result.totalCount} repo(s)")
-        for repo in result:
-            print(repo.clone_url)
+    # def get_org_repos(self, name) -> List[github.Repository.Repository]:
+    #     logger.debug(f"get_org_repos: {name}")
+    #     org = self.gh.get_organization(name)
+    #     repos = []
+    #     for repo in org.get_repos():
+    #         repos.append(repo)
+    #     return repos
+    #
+    # def get_organization(self, name) -> github.Organization.Organization:
+    #     logger.debug(f"get_organization: {name}")
+    #     return self.gh.get_organization(name)
+    #
+    # def search_github(self, keywords):
+    #     query = "+".join(keywords) + "+in:readme+in:description"
+    #     result = self.gh.search_repositories(query, "stars", "desc")
+    #
+    #     print(f"Found {result.totalCount} repo(s)")
+    #     for repo in result:
+    #         print(repo.clone_url)
diff --git a/src/library/metrics.py b/src/library/metrics.py
index 5445973..2700ec9 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -5,10 +5,26 @@
 from loguru import logger
 from library.ghw import GithubWrapper
 from joblib import Memory
+from github.GithubException import RateLimitExceededException, GithubException
 
 memory = Memory(".joblib_cache")
 
 
+class StandardMetrics:
+    @staticmethod
+    @memory.cache
+    def get_repo_topics(ghw, name):
+        return ghw.get_repo(name).get_topics()
+
+    @staticmethod
+    @memory.cache
+    def last_commit_date(ghw, name):
+        return datetime.strptime(
+            ghw.get_repo(name).get_commits().get_page(0)[0].last_modified,
+            "%a, %d %b %Y %H:%M:%S %Z",
+        ).date()
+
+
 class PopularityMetrics:
     """
     Inspired by https://github.com/ossf/criticality_score/tree/v1.0.7 (Latest Python version before Go port)
@@ -17,20 +33,29 @@ class PopularityMetrics:
 
     @staticmethod
     @memory.cache
-    def contributor_count(ghw: GithubWrapper, name: str) -> int:
-        repo = ghw.get_repo(name)
+    def contributor_count(token: str, name: str) -> int:
+        repo = GithubWrapper(token).get_repo(name)
         try:
             return repo.get_contributors(anon='true').totalCount
+        except RateLimitExceededException as ex:
+            logger.error(f"contributor_count rate exception: {ex}")
+            # TODO: add sleep and retry
+            raise ex
         except Exception as ex:
             # Typically a large number of contributors
-            logger.warning(f"get_contributors exception: {ex}")
+            logger.warning(f"contributor_count exception: {ex}")
             return 5000
 
     @staticmethod
     @memory.cache
-    def contributor_orgs(ghw: GithubWrapper, name: str) -> dict:
-        MAX_CONTRIBUTOR_COUNT = 20  # 10
-        repo = ghw.get_repo(name)
+    def get_contributor_company(contributor):
+        return contributor.company
+
+    @staticmethod
+    @memory.cache
+    def contributor_orgs(token: str, name: str) -> dict:
+        MAX_CONTRIBUTOR_COUNT = 5  # 10
+        repo = GithubWrapper(token).get_repo(name)
 
         def _filter_name(org_name):
             return org_name.lower().replace(', inc.', '').replace('inc.', '')\
@@ -41,15 +66,19 @@ def _filter_name(org_name):
         try:
             # NOTE: Can be expensive if not capped due to `contributor.company` being an API call
             for contributor in contributors:
-                # TODO: cache contributor -> company ??
-                contributor_company = contributor.company
+                time.sleep(2)  # TODO: review and add retry
+                contributor_company = PopularityMetrics.get_contributor_company(contributor)
                 if contributor_company:
                     filtered_contributor_company = _filter_name(contributor_company)
                     logger.info(f"{name=}, {contributor.login=}, {filtered_contributor_company=}")
                     orgs.add(filtered_contributor_company)
+        except RateLimitExceededException as ex:
+            logger.warning(f"get_contributors rate exception: {ex}")
+            # TODO: add sleep and retry
+            raise ex
         except Exception as ex:
             # Typically a large number of contributors
-            logger.warning(f"get_contributors exception: {ex}")
+            logger.warning(f"get_contributors {type(ex)} exception: {ex}")
             return {
                 "_pop_contributor_orgs_len": -1,
                 "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
@@ -65,8 +94,8 @@ def _filter_name(org_name):
 
     @staticmethod
     @memory.cache
-    def commit_frequency(ghw: GithubWrapper, name: str) -> float:
-        repo = ghw.get_repo(name)
+    def commit_frequency(token: str, name: str) -> float:
+        repo = GithubWrapper(token).get_repo(name)
         # NOTE: get_stats_commit_activity Returns the last year of commit activity grouped by week
         stats_commit_activity = repo.get_stats_commit_activity()
         assert len(stats_commit_activity) == 52
@@ -77,27 +106,27 @@ def commit_frequency(ghw: GithubWrapper, name: str) -> float:
 
     @staticmethod
     @memory.cache
-    def updated_issues_count(ghw: GithubWrapper, name: str) -> int:
+    def updated_issues_count(token: str, name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = ghw.get_repo(name)
+        repo = GithubWrapper(token).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='all', since=issues_since_time).totalCount
 
     @staticmethod
     @memory.cache
-    def closed_issues_count(ghw: GithubWrapper, name: str) -> int:
+    def closed_issues_count(token: str, name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
         # TODO: make generic with updated_issues_count?
-        repo = ghw.get_repo(name)
+        repo = GithubWrapper(token).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='closed', since=issues_since_time).totalCount
 
     @staticmethod
     @memory.cache
-    def created_since_days(ghw: GithubWrapper, name: str) -> int:
-        repo = ghw.get_repo(name)
+    def created_since_days(token: str, name: str) -> int:
+        repo = GithubWrapper(token).get_repo(name)
         creation_time = repo.created_at
 
         # See if there exist any commits before this repository creation
@@ -118,8 +147,8 @@ def created_since_days(ghw: GithubWrapper, name: str) -> int:
 
     @staticmethod
     @memory.cache
-    def updated_since_days(ghw: GithubWrapper, name: str) -> int:
-        repo = ghw.get_repo(name)
+    def updated_since_days(token: str, name: str) -> int:
+        repo = GithubWrapper(token).get_repo(name)
         last_commit = repo.get_commits()[0]
         last_commit_time = last_commit.commit.author.date
         difference = datetime.utcnow() - last_commit_time
@@ -127,9 +156,9 @@ def updated_since_days(ghw: GithubWrapper, name: str) -> int:
 
     @staticmethod
     @memory.cache
-    def recent_releases_count(ghw: GithubWrapper, name: str) -> dict:
+    def recent_releases_count(token: str, name: str) -> dict:
         RELEASE_LOOKBACK_DAYS = 365
-        repo = ghw.get_repo(name)
+        repo = GithubWrapper(token).get_repo(name)
         recent_releases_count = 0
         for release in repo.get_releases():
             if (datetime.utcnow() -
@@ -141,7 +170,7 @@ def recent_releases_count(ghw: GithubWrapper, name: str) -> dict:
         # Make rough estimation of tags used in last year from overall
         # project history. This query is extremely expensive, so instead
         # do the rough calculation.
-        days_since_creation = PopularityMetrics.created_since_days(ghw, name) * 30
+        days_since_creation = PopularityMetrics.created_since_days(token, name) * 30
         if days_since_creation:
             total_tags = repo.get_tags().totalCount
             estimated_tags = round(
@@ -159,23 +188,36 @@ def recent_releases_count(ghw: GithubWrapper, name: str) -> dict:
 
     @staticmethod
     @memory.cache
-    def comment_frequency(ghw: GithubWrapper, name: str) -> dict:
+    def comment_frequency(token: str, name: str) -> dict:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = ghw.get_repo(name)
+        repo = GithubWrapper(token).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
+        # NOTE: get_issues includes PR's
         issue_count = repo.get_issues(state='all', since=issues_since_time).totalCount
-        comment_count = repo.get_issues_comments(since=issues_since_time).totalCount
+
+        try:
+            comment_count = repo.get_issues_comments(since=issues_since_time).totalCount
+        except GithubException as ex:
+            logger.warning(f"get_issues_comments exception: {ex}, retry once...")
+            time.sleep(5)
+            # Exception due to large number of comments, e.g. pytorch/pytorch repo.
+            # So try reducing down ISSUE_LOOKBACK_DAYS
+            ISSUE_LOOKBACK_DAYS = ISSUE_LOOKBACK_DAYS // 4
+            issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
+            comment_count = repo.get_issues_comments(since=issues_since_time).totalCount * 4
+
         comment_frequency = round(comment_count / issue_count, 1) if issue_count else 0
 
         return {
             "_pop_issue_count": issue_count,
             "_pop_comment_count": comment_count,
-            "_pop_comment_frequency": comment_frequency
+            "_pop_comment_count_lookback_days": ISSUE_LOOKBACK_DAYS,
+            "_pop_comment_frequency": comment_frequency,
         }
 
     @staticmethod
     @memory.cache
-    def dependents_count(ghw: GithubWrapper, name: str) -> int:
+    def dependents_count(name: str) -> int:
         # return 0  # TODO: this is expensive and can have many fails
         DEPENDENTS_REGEX = re.compile(b'.*[^0-9,]([0-9,]+).*commit results', re.DOTALL)
         FAIL_RETRIES = 12
@@ -183,10 +225,11 @@ def dependents_count(ghw: GithubWrapper, name: str) -> int:
         # to replace this, then find a solution for C/C++ as well.
         # parsed_url = urllib.parse.urlparse(self.url)
         # repo_name = parsed_url.path.strip('/')
+        # TODO: add in gh token in url??
         dependents_url = f'https://github.com/search?q="{name}"&type=commits'
         logger.trace(f"Call dependents_count: {dependents_url=}, {name=}")
         content = b''
-        time.sleep(5)
+        time.sleep(2)
         success = False
         for i in range(FAIL_RETRIES):
             result = requests.get(dependents_url)
@@ -194,7 +237,7 @@ def dependents_count(ghw: GithubWrapper, name: str) -> int:
                 content = result.content
                 success = True
                 break
-            sleep_secs = min(2 ** (i + 2), 15 * 60)
+            sleep_secs = min(2 ** (i + 3), 15 * 60)
             logger.warning(f"Retry dependents_count #{i}/{FAIL_RETRIES}, sleeping for {sleep_secs} secs...")
             time.sleep(sleep_secs)
 
diff --git a/src/library/render.py b/src/library/render.py
index e4b6a55..418d894 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -1,11 +1,11 @@
 import sys
 import pandas as pd
 from datetime import datetime
-from typing import List
+from typing import List, Callable
 from loguru import logger
 from urllib.parse import urlparse
 from library.ghw import GithubWrapper
-from library.metrics import PopularityMetrics
+from library.metrics import PopularityMetrics, StandardMetrics
 from library.scorer import PopularityScorer
 
 
@@ -93,80 +93,81 @@ def _display_description(ghw, name) -> str:
             return f"{repo.name}: {repo.description}"
 
 
+def _column_apply(df: pd.DataFrame, target: str, source: str, fn: Callable):
+    logger.info(f"apply: {source} -> {target}")
+    df[target] = df[source].apply(fn)
+
+
 def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
     ghw = GithubWrapper(token)
     df = df_input.copy()
 
-    # Add standard columns
-    df["_repopath"] = df["githuburl"].apply(lambda x: urlparse(x).path.lstrip("/"))
-    df["_reponame"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).name)
-    df["_stars"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).stargazers_count)
-    df["_forks"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).forks_count)
-    df["_watches"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).subscribers_count)
-    df["_topics"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).get_topics())
-    df["_language"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).language)
-    df["_homepage"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).homepage)
-    df["_description"] = df["_repopath"].apply(lambda x: _display_description(ghw, x))
-    df["_organization"] = df["_repopath"].apply(lambda x: x.split("/")[0])
-    df["_updated_at"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).updated_at.date())
-    df["_last_commit_date"] = df["_repopath"].apply(
-        # E.g. Sat, 18 Jul 2020 17:14:09 GMT
-        lambda x: datetime.strptime(
-            ghw.get_repo(x).get_commits().get_page(0)[0].last_modified,
-            "%a, %d %b %Y %H:%M:%S %Z",
-        ).date()
-    )
-    df["_created_at"] = df["_repopath"].apply(lambda x: ghw.get_repo(x).created_at.date())
-    df["_age_weeks"] = df["_repopath"].apply(
-        lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
-    )
-    df["_stars_per_week"] = df["_repopath"].apply(
-        lambda x: ghw.get_repo(x).stargazers_count
-        * 7
-        / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
-    )
-
-    # Add popularity metric columns
+    logger.info(f"Add standard columns...")
+    std_metrics = StandardMetrics()
+
+    _column_apply(df, "_repopath", "githuburl", lambda x: urlparse(x).path.lstrip("/"))
+    _column_apply(df, "_reponame", "_repopath", lambda x: ghw.get_repo(x).name)
+    _column_apply(df, "_stars", "_repopath", lambda x: ghw.get_repo(x).stargazers_count)
+    _column_apply(df, "_forks", "_repopath", lambda x: ghw.get_repo(x).forks_count)
+    _column_apply(df, "_watches", "_repopath", lambda x: ghw.get_repo(x).subscribers_count)
+    _column_apply(df, "_topics", "_repopath", lambda x: std_metrics.get_repo_topics(ghw, x))
+    _column_apply(df, "_language", "_repopath", lambda x: ghw.get_repo(x).language)
+    _column_apply(df, "_homepage", "_repopath", lambda x: ghw.get_repo(x).homepage)
+    _column_apply(df, "_description", "_repopath", lambda x: _display_description(ghw, x))
+    _column_apply(df, "_organization", "_repopath", lambda x: x.split("/")[0])
+    _column_apply(df, "_updated_at", "_repopath", lambda x: ghw.get_repo(x).updated_at.date())
+    _column_apply(df, "_last_commit_date", "_repopath", lambda x: std_metrics.last_commit_date(ghw, x))
+    _column_apply(df, "_created_at", "_repopath", lambda x: ghw.get_repo(x).created_at.date())
+    _column_apply(df, "_age_weeks", "_repopath",
+                  lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
+                  )
+    _column_apply(df, "_stars_per_week", "_repopath",
+                  lambda x: ghw.get_repo(x).stargazers_count
+                  * 7
+                  / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
+                  )
+
+    logger.info(f"Add popularity metric columns...")
     metrics = PopularityMetrics()
 
     df["_pop_contributor_count"] = df["_repopath"].apply(
-        lambda x: metrics.contributor_count(ghw, x)
+        lambda x: metrics.contributor_count(token, x)
     )
 
-    df_pop_contributor_orgs = df.apply(lambda row: metrics.contributor_orgs(ghw, row["_repopath"]),
+    df_pop_contributor_orgs = df.apply(lambda row: metrics.contributor_orgs(token, row["_repopath"]),
                                        axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_contributor_orgs], axis="columns")
 
     df["_pop_commit_frequency"] = df["_repopath"].apply(
-        lambda x: metrics.commit_frequency(ghw, x)
+        lambda x: metrics.commit_frequency(token, x)
     )
 
     df["_pop_updated_issues_count"] = df["_repopath"].apply(
-        lambda x: metrics.updated_issues_count(ghw, x)
+        lambda x: metrics.updated_issues_count(token, x)
     )
 
     df["_pop_closed_issues_count"] = df["_repopath"].apply(
-        lambda x: metrics.closed_issues_count(ghw, x)
+        lambda x: metrics.closed_issues_count(token, x)
     )
 
     df["_pop_created_since_days"] = df["_repopath"].apply(
-        lambda x: metrics.created_since_days(ghw, x)
+        lambda x: metrics.created_since_days(token, x)
     )
 
     df["_pop_updated_since_days"] = df["_repopath"].apply(
-        lambda x: metrics.updated_since_days(ghw, x)
+        lambda x: metrics.updated_since_days(token, x)
     )
 
-    df_pop_recent_releases_count = df.apply(lambda row: metrics.recent_releases_count(ghw, row["_repopath"]),
+    df_pop_recent_releases_count = df.apply(lambda row: metrics.recent_releases_count(token, row["_repopath"]),
                                             axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_recent_releases_count], axis="columns")
 
-    df_pop_comment_frequency = df.apply(lambda row: metrics.comment_frequency(ghw, row["_repopath"]),
+    df_pop_comment_frequency = df.apply(lambda row: metrics.comment_frequency(token, row["_repopath"]),
                                         axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_comment_frequency], axis="columns")
 
     df["_pop_dependents_count"] = df["_repopath"].apply(
-        lambda x: metrics.dependents_count(ghw, x)
+        lambda x: metrics.dependents_count(x)
     )
 
     scorer = PopularityScorer()
diff --git a/tests/test_render.py b/tests/test_render.py
index fcd7c27..7aa5d48 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -38,6 +38,6 @@ def test_render_process():
         "_pop_updated_since_days", "_pop_recent_releases_count",
         "_pop_recent_releases_estimated_tags",
         "_pop_recent_releases_adjusted_count", "_pop_issue_count",
-        "_pop_comment_count", "_pop_comment_frequency", "_pop_dependents_count",
-        "_pop_score"
+        "_pop_comment_count", "_pop_comment_frequency",
+        "_pop_comment_frequency_lookback_days", "_pop_dependents_count", "_pop_score"
     ]

From a39f3b715818888eb2ea0df2842456a9dbb15997 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Tue, 20 Dec 2022 21:44:31 +1100
Subject: [PATCH 10/20] First full popularity crawl.

---
 github_data.csv      |  1806 +-
 github_data.json     | 43267 ++++++++++++++++++++++++++++++-----------
 github_data.min.json |     2 +-
 3 files changed, 32502 insertions(+), 12573 deletions(-)

diff --git a/github_data.csv b/github_data.csv
index a90d25c..17e11e8 100644
--- a/github_data.csv
+++ b/github_data.csv
@@ -1,903 +1,903 @@
-,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_topics,_language,_homepage,_description,_organization,_updated_at,_last_commit_date,_created_at,_age_weeks,_stars_per_week
-89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,169543,87524,7795,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2022-12-07,2022-12-07,2015-11-07,369,458.7557015848473
-405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,149666,38442,5936,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2022-12-07,2022-12-05,2016-07-16,333,448.67751605995716
-112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,75566,17147,860,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2022-12-07,2022-12-07,2018-10-29,214,352.6413333333333
-14,web,https://github.com/django/django,,,,django/django,django,67603,28283,2267,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2022-12-07,2022-12-07,2012-04-28,553,122.12154838709678
-57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,61266,15345,2147,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2022-12-07,2022-11-25,2010-04-06,661,92.66681071737251
-76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,60819,16942,1624,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2022-12-07,2022-12-07,2016-08-13,329,184.53966189856956
-40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,56789,19224,1937,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2022-12-07,2022-12-07,2015-03-28,401,141.41693347563145
-189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,56473,20808,1345,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2022-12-07,2022-12-07,2013-09-17,481,117.37262470308788
-78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,52254,23758,2170,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2022-12-07,2022-12-07,2010-08-17,642,81.37441601779756
-135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,52245,4281,601,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2022-12-07,2022-12-03,2018-12-08,208,250.48972602739727
-399,util,https://github.com/python/cpython,,,,python/cpython,cpython,49336,25142,1461,[],Python,https://www.python.org/,cpython: The Python programming language,python,2022-12-07,2022-12-07,2017-02-10,303,162.44214487300093
-177,web,https://github.com/psf/requests,,,,psf/requests,requests,48656,8921,1360,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2022-12-07,2022-11-21,2011-02-13,616,78.93209733487834
-80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,45297,9798,1787,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest']",Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2022-12-07,2022-12-05,2010-02-22,667,67.88246628131022
-695,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,42917,12004,1504,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2022-12-07,2022-11-22,2017-12-19,259,165.61135611907386
-179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,40996,1434,541,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2022-12-07,2022-12-04,2019-11-10,160,255.5405164737311
-262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,37642,4443,962,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2022-12-07,2022-10-21,2018-12-24,206,182.47506925207756
-432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,36745,16232,1768,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2022-12-07,2018-11-30,2016-08-10,330,111.34848484848484
-736,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,36523,5617,348,[],Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2022-12-07,2022-11-16,2022-08-10,17,2148.4117647058824
-59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,36168,15473,1118,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2022-12-07,2022-12-06,2010-08-24,641,56.411764705882355
-694,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,36022,8114,1049,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2022-12-07,2022-10-31,2018-06-04,235,153.09896782027928
-64,util,https://github.com/psf/black,,,,psf/black,black,30382,1946,226,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2022-12-07,2022-11-21,2018-03-14,247,123.00404858299595
-220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,29759,2642,382,"['python', 'shell']",Roff,,pyenv: Simple Python version management,pyenv,2022-12-07,2022-12-02,2012-08-31,535,55.550133333333335
-55,sim,https://github.com/openai/gym,,,,openai/gym,gym,29220,8087,992,[],Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2022-12-07,2022-10-25,2016-04-27,345,84.69565217391305
-118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,28369,11636,766,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2022-12-07,2022-12-07,2015-04-13,399,71.04937388193203
-592,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27356,1669,348,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2022-12-07,2022-11-27,2020-02-02,148,184.3041385948027
-257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,26569,6498,929,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2022-12-07,2022-12-07,2017-05-14,290,91.48204623708804
-677,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25445,5480,959,[],Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2022-12-06,2021-03-27,2017-10-05,269,94.29062996294336
-245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,24990,3771,368,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2022-12-07,2022-09-16,2021-03-19,89,278.5509554140127
-17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,24716,3984,547,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2022-12-07,2022-12-07,2014-07-03,439,56.190971094511205
-838,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,23958,4338,245,[],Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2022-12-07,2022-12-04,2022-08-22,15,1567.3457943925234
-501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,23637,11425,621,[],Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2022-12-07,2022-11-08,2019-01-08,204,115.78656403079076
-103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23534,8529,931,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2022-12-07,2022-12-07,2014-02-06,460,51.065716057036575
-163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,23501,1195,207,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2022-12-07,2022-09-03,2015-06-03,392,59.951530612244895
-26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,23437,1353,380,"['python', 'cli']",Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2022-12-07,2022-11-28,2017-02-21,302,77.5692671394799
-678,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23038,6272,365,[],Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2022-12-07,2022-12-06,2019-09-05,169,135.63162321278386
-646,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,22845,1849,185,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2022-12-07,2022-12-05,2018-02-28,249,91.74698795180723
-689,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22482,11162,599,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2022-12-06,2019-03-31,2017-10-19,267,83.9328
-289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,22389,3729,290,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2022-12-07,2022-12-05,2019-02-02,200,111.62606837606837
-550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,22303,8115,362,"['object-detection', 'instance-segmentation', 'rpn', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch']",Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2022-12-07,2022-11-23,2018-08-22,224,99.56696428571429
-54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22137,7583,569,"['numpy', 'python', 'closember']",Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2022-12-07,2022-12-07,2010-09-13,638,34.6819606087735
-649,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,21904,4420,642,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2022-12-07,2022-11-12,2016-11-17,315,69.3478064224333
-86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,21706,1948,283,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2022-12-07,2022-12-07,2019-08-24,171,126.51290591174022
-183,ml,https://github.com/google/jax,,,,google/jax,jax,21094,1969,288,['jax'],Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2022-12-07,2022-12-07,2018-10-25,214,98.17686170212765
-90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,20892,5484,1007,"['python', 'asynchronous']",Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2022-12-07,2022-11-28,2009-09-09,691,30.234442836468887
-252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,20867,2662,229,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",Python,https://lightning.ai,"lightning: Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.",pytorchlightning,2022-12-07,2022-12-07,2019-03-31,192,108.44023756495916
-8,perf,https://github.com/celery/celery,,,,celery/celery,celery,20619,4394,477,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2022-12-07,2022-12-06,2009-04-24,710,29.011658291457287
-45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20265,2592,430,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",Python,,locust: Scalable load testing tool written in Python,locustio,2022-12-07,2022-12-06,2011-02-17,615,32.9053583855254
-2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20178,6877,1089,['mxnet'],C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2022-12-06,2022-09-26,2015-04-30,396,50.84449244060475
-75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,20065,5058,354,"['python', 'pytorch', 'artificial-intelligence']",Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2022-12-07,2022-11-29,2017-08-29,275,72.9257528556594
-255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20030,4243,591,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2022-12-07,2022-12-06,2017-05-17,290,69.06896551724138
-273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,19623,4132,495,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2022-12-07,2022-12-07,2019-06-13,181,107.90337784760409
-409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,19486,2968,648,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2022-12-07,2022-12-07,2014-05-19,446,43.662612035851474
-607,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,19392,2231,712,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2022-12-07,2022-12-02,2017-03-01,301,64.42524916943522
-350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19267,4815,733,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2022-12-07,2022-12-07,2016-08-15,329,58.5114967462039
-232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,18527,1759,237,"['python', 'cookiecutter']",Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2022-12-06,2022-09-09,2013-07-14,490,37.77716283134285
-789,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18470,13769,1453,[],Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2022-12-07,2022-11-03,2012-06-30,544,33.91657922350472
-186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18387,2528,219,"['latex', 'deep-neural-networks']",TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2022-12-07,2020-11-06,2018-07-24,228,80.59423919849718
-187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18096,2722,260,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2022-12-07,2022-06-16,2016-11-22,315,57.42157751586582
-61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,17753,1811,408,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",Python,https://plotly.com/dash,"dash: Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.",plotly,2022-12-07,2022-12-05,2015-04-10,399,44.41422444603288
-6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,16967,4007,453,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2022-12-07,2022-12-07,2012-03-26,558,30.391248720573184
-107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,16924,5359,502,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2022-12-07,2022-12-05,2016-03-21,350,48.31484502446982
-349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,16835,1992,183,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2022-12-07,2022-12-07,2020-02-13,146,114.6352140077821
-763,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,16801,1792,182,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2022-12-07,2022-09-20,2021-07-19,72,232.42490118577075
-30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16668,1481,413,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",Python,https://sanic.dev,sanic: Next generation Python web server/framework | Build fast. Run fast.,huge-success,2022-12-06,2022-11-29,2016-05-26,340,48.90025146689019
-48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16508,6629,586,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2022-12-07,2022-12-07,2011-02-19,615,26.817359016012997
-31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,16464,2375,282,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2022-12-07,2022-11-18,2020-03-14,142,115.47895791583166
-228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,16321,470,151,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2022-12-07,2022-12-05,2021-04-08,86,187.90625
-373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16304,2971,245,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",Python,https://pytorch-geometric.readthedocs.io/,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2022-12-07,2022-12-07,2017-10-06,269,60.44915254237288
-102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16176,2353,485,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2022-12-07,2022-12-02,2012-09-20,532,30.35710455764075
-426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16123,7893,647,[],Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2022-12-07,2022-02-10,2017-09-05,274,58.81240229286087
-144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,15784,3983,585,['paper'],Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2022-12-07,2020-12-02,2019-02-11,199,79.20286738351254
-109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15669,3662,906,"['python', 'crawler']",Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2022-12-07,2020-08-02,2014-02-21,458,34.15851759576456
-873,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15605,4401,775,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2022-12-06,2022-11-28,2010-05-10,656,23.77775359164127
-834,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,15566,5981,728,"['micropython', 'python', 'embedded', 'microcontroller']",C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2022-12-07,2022-12-07,2013-12-20,467,33.281001832620646
-493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15461,3826,598,[],Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2022-12-07,2022-11-16,2019-06-05,183,84.48633879781421
-176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15426,931,234,"['python', 'debug', 'debugger', 'introspection', 'logging']",Python,,PySnooper: Never use print for debugging again,cool-rr,2022-12-07,2022-04-02,2019-04-18,189,81.25056433408578
-469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15282,2354,305,[],Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2022-12-07,2022-11-11,2020-04-06,139,109.71692307692308
-41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15268,2961,616,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2022-12-07,2022-11-28,2010-11-03,631,24.19651347068146
-19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15239,4336,426,"['forecasting', 'r', 'python']",Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2022-12-07,2022-09-21,2016-11-16,316,48.2246835443038
-328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,15142,1463,144,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",Go,https://trivy.dev,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2022-12-07,2022-12-04,2019-04-11,190,79.33682634730539
-36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15138,1702,222,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",Python,http://faker.rtfd.org,Faker is a Python package that generates fake data for you.,joke2k,2022-12-07,2022-11-30,2012-11-12,525,28.818602121294532
-604,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15047,1104,179,"['python', 'html', 'javascript']",Python,https://community.anaconda.cloud/c/tech-topics/pyscript,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2022-12-07,2022-12-06,2022-02-21,41,364.46020761245677
-137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,14856,1932,256,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2022-12-07,2022-12-06,2020-03-26,140,105.4685598377282
-74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14283,2374,223,"['python', 'types', 'typing', 'typechecker', 'linter']",Python,http://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2022-12-07,2022-12-06,2012-12-07,521,27.377053669222345
-148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14151,2429,310,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2022-12-07,2021-03-02,2017-06-10,286,49.38035892323031
-104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,13764,4294,432,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2022-12-07,2022-12-07,2011-02-10,616,22.313107920333486
-124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,13753,3199,430,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2022-12-07,2022-11-29,2017-09-07,273,50.219613980177364
-332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,13737,3625,539,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2022-12-07,2022-12-05,2017-09-08,273,50.187369519832984
-175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,13525,569,119,"['python', 'logging', 'logger', 'log']",Python,,loguru: Python logging made (stupidly) simple,delgan,2022-12-07,2022-12-02,2017-08-15,277,48.80154639175258
-674,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13392,1006,105,[],Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2022-12-07,2022-11-09,2021-07-03,74,179.58620689655172
-56,term,https://github.com/pallets/click,,,,pallets/click,click,13247,1298,181,"['python', 'cli', 'click', 'pallets']",Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2022-12-07,2022-11-01,2014-04-24,449,29.447126071768814
-544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13162,2334,228,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2022-12-07,2020-06-01,2015-07-10,386,34.03546361285556
-119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13162,3070,286,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2022-12-07,2022-12-07,2018-06-05,235,55.974483596597814
-408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13079,1833,228,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2022-12-06,2022-12-05,2013-10-01,479,27.296660703637446
-554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,12875,2143,331,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2022-12-07,2022-11-30,2017-08-09,278,46.31294964028777
-507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,12814,3145,457,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2022-12-07,2022-10-24,2017-06-15,285,44.82658670664668
-812,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12704,4181,553,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2022-12-07,2021-06-01,2014-09-28,427,29.72192513368984
-62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,12566,2248,274,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:,plotly,2022-12-07,2022-10-27,2013-11-21,471,26.63094156827127
-39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12496,2506,312,"['jupyterlab', 'jupyter']",TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2022-12-07,2022-12-06,2016-06-03,339,36.7838519764508
-127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12291,1725,281,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2022-12-07,2022-12-07,2018-06-01,235,52.14363636363636
-152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12280,1972,204,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2022-12-06,2022-12-06,2018-06-11,234,52.41463414634146
-575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,11937,1727,247,"['python', 'bindings']",C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2022-12-07,2022-12-07,2015-07-05,387,30.8108407079646
-281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,11935,2641,112,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2022-12-07,2022-12-07,2016-01-28,357,33.35129740518962
-52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,11918,2797,276,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2022-12-07,2022-12-06,2010-09-06,639,18.64268156424581
-314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,11851,1103,89,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",Python,https://docs.pydantic.dev,pydantic: Data parsing and validation using Python type hints,samuelcolvin,2022-12-07,2022-12-06,2017-05-03,292,40.58561643835616
-114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11320,2230,280,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2022-12-07,2022-11-22,2017-05-15,290,38.996062992125985
-105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11291,2665,469,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",Python,https://www.nltk.org,NLTK Source,nltk,2022-12-07,2022-12-07,2009-09-07,691,16.333333333333332
-425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11273,1442,124,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2022-12-07,2022-11-24,2018-06-06,235,47.97021276595745
-242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11153,2291,322,[],Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2022-12-07,2022-10-24,2019-01-15,203,54.90225035161744
-346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,11064,697,87,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2022-12-07,2022-12-04,2018-12-19,207,53.44927536231884
-320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,10910,1623,219,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",Python,,"PySimpleGUI: Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive documentation.  Examples for Machine Learning(OpenCV Integration,  Chatterbot), Rainmeter-like Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs -  PySimpleGUI.org GitHub - PySimpleGUI.com. The Minecraft of GUIs - simple to complex... does them all.",pysimplegui,2022-12-07,2022-12-04,2018-07-11,230,47.43478260869565
-190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,10816,2633,175,"['deep-learning', 'graph-neural-networks']",Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2022-12-07,2022-12-07,2018-04-20,241,44.74704491725768
-1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,10747,2638,345,['arrow'],C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2022-12-06,2022-12-07,2016-02-17,355,30.27323943661972
-122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,10746,1006,136,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2022-12-07,2022-12-07,2017-03-04,300,35.75190114068441
-120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,10618,1069,153,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2022-12-07,2022-12-06,2018-06-29,231,45.82367447595561
-79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10560,4498,339,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",Python,https://scipy.org,SciPy library main repository,scipy,2022-12-07,2022-12-07,2011-03-09,613,17.226753670473084
-218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10540,1062,325,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2022-12-07,2022-10-27,2013-04-01,505,20.85948543963811
-11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10538,1567,217,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2022-12-07,2022-12-06,2015-01-04,413,25.48928818244644
-192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,10525,1908,171,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2022-12-07,2020-06-05,2019-02-23,197,53.271872740419376
-857,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10454,1876,1730,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2022-12-07,2022-12-06,2015-12-15,364,28.708513142408787
-72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10351,1951,218,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",Python,https://python-pillow.org,Pillow: The friendly PIL fork (Python Imaging Library),python-pillow,2022-12-07,2022-12-06,2012-07-24,541,19.12803590285111
-110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10276,1685,272,[],JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2022-12-07,2021-07-29,2016-03-15,351,29.264442636289665
-427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10186,1844,145,[],Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2022-12-07,2022-03-07,2020-05-26,132,77.08324324324325
-50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10146,1677,252,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2022-12-07,2022-12-06,2012-06-18,546,18.572698744769873
-166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10020,2617,406,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2022-12-07,2022-09-25,2011-04-12,608,16.476391825229033
-24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,9944,1336,441,"['rl', 'ml', 'ai', 'google', 'tensorflow']",Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2022-12-07,2022-11-28,2018-07-26,227,43.641379310344824
-173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,9902,396,66,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2022-12-07,2022-11-14,2019-12-24,154,64.23911028730306
-60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,pandas-profiling,9891,1410,152,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",Python,https://pandas-profiling.ydata.ai,pandas-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2022-12-07,2022-11-29,2016-01-09,360,27.43145800316957
-87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,9861,3781,281,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2022-12-06,2022-12-04,2010-04-30,657,14.99283231972198
-645,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,9805,1846,233,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2022-12-06,2022-12-05,2011-11-23,576,17.022569444444443
-805,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,9742,636,105,"['python', 'http', 'trio', 'asyncio']",Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2022-12-07,2022-12-06,2019-04-04,191,50.77736411020104
-536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,9649,263,53,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2022-12-07,2022-12-06,2022-04-08,34,277.95473251028807
-22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9643,1970,289,[],Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2022-12-07,2022-12-06,2017-04-24,293,32.879201169020945
-38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9602,3982,319,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2022-12-07,2022-12-06,2015-04-09,399,24.01357627724187
-718,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,9575,532,98,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js",pola-rs,2022-12-07,2022-12-07,2020-05-13,134,71.45522388059702
-71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9564,2210,194,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2022-12-07,2022-12-06,2015-06-15,390,24.505124450951683
-653,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9415,341,107,"['profiler', 'python', 'performance-analysis', 'profiling']",Rust,,py-spy: Sampling profiler for Python programs,benfred,2022-12-07,2022-12-05,2018-08-01,227,41.47577092511013
-225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9376,613,124,"['python', 'webassembly']",Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2022-12-07,2022-12-06,2018-02-23,249,37.546910755148744
-412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9296,686,82,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2022-12-07,2022-11-29,2014-03-13,455,20.392353494202446
-155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9197,1358,324,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2022-12-07,2022-03-16,2018-03-30,244,37.5826036193812
-315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9195,487,135,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2022-12-06,2022-12-01,2020-05-28,131,69.73456121343445
-655,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9053,522,225,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2022-12-06,2022-09-14,2015-11-08,369,24.50541376643465
-238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9026,385,114,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2022-12-07,2022-11-12,2021-08-24,67,134.42978723404255
-398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,8965,897,266,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest', 'hacktoberfest-accepted', 'hacktoberfest2022', 'hacktoberfest']",Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2022-12-07,2022-12-02,2012-12-06,521,17.179030933479332
-142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,8954,1784,117,[],Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2022-12-07,2022-11-28,2019-07-24,176,50.875
-157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,8921,1525,254,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2022-12-07,2022-11-01,2010-10-17,633,14.083671628326567
-371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,8917,430,78,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2022-12-07,2022-11-16,2021-03-05,91,97.22585669781931
-517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,8852,612,77,[],Python,,pyright: Static type checker for Python,microsoft,2022-12-07,2022-12-07,2019-03-12,195,45.36163982430454
-244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8842,2270,310,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2022-12-06,2022-12-06,2016-10-10,321,27.52067585593597
-132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8829,1503,292,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2022-12-07,2022-07-29,2015-11-03,370,23.852952527981476
-134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8668,1385,305,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2022-12-05,2022-12-04,2017-11-19,263,32.904555314533624
-5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8665,1616,235,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2022-12-07,2022-12-03,2009-11-30,679,12.756046267087276
-92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8645,1020,181,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2022-12-05,2022-12-06,2018-12-27,205,41.995142262317835
-523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,8421,685,112,"['artificial-intelligence', 'deep-learning', 'text-to-image']",Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2022-12-07,2022-11-23,2022-04-07,34,241.5860655737705
-151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8377,1097,270,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2022-12-07,2021-10-22,2013-06-30,492,17.01160429358863
-780,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,8376,1378,92,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2022-12-07,2022-12-07,2022-05-30,27,306.9738219895288
-100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8358,1593,548,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2022-12-07,2020-04-25,2011-05-03,605,13.811614730878187
-126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,8276,968,142,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2022-12-07,2022-12-06,2020-01-23,149,55.22592945662536
-282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8149,634,134,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2022-12-07,2022-11-15,2012-11-18,524,15.538817760828112
-125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8115,582,109,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2022-12-07,2022-12-06,2018-06-21,232,34.84969325153374
-53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8047,982,207,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2022-12-06,2022-12-06,2012-03-08,560,14.347682119205299
-294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8018,1885,320,[],Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2022-12-07,2022-11-04,2009-02-02,722,11.100870253164556
-84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,7967,2619,271,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2022-12-06,2022-12-06,2011-06-12,599,13.290991420400381
-128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,7913,708,150,[],Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2022-12-07,2022-12-01,2015-09-19,376,21.01327769347496
-116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,7871,739,103,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2022-12-07,2022-12-06,2019-04-18,189,41.457486832204665
-706,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,7773,1830,171,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2022-12-07,2022-12-02,2016-12-02,313,24.777322404371585
-7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7751,1685,238,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2022-12-07,2022-12-06,2014-10-03,426,18.164378975560762
-29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,7712,1144,70,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2022-12-07,2022-12-06,2017-09-11,273,28.21955044432828
-422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7698,939,203,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2022-12-06,2022-12-02,2017-06-16,285,26.943
-394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7651,689,110,"['python', 'async', 'websockets', 'graphql', 'http']",Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2022-12-07,2022-12-05,2018-06-25,232,32.93788437884379
-367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7636,1828,72,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2022-12-07,2022-11-30,2021-07-17,72,105.22047244094489
-615,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7608,2047,483,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2022-12-07,2022-11-20,2014-06-27,440,17.26288492706645
-815,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,7549,955,99,"['image-processing', 'background-removal', 'python']",Python,,Rembg is a tool to remove images background.,danielgatis,2022-12-07,2022-11-28,2020-08-10,121,62.2414605418139
-495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,7538,716,114,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2022-12-07,2022-12-07,2018-06-26,232,32.471384615384615
-10,util,https://github.com/cython/cython,,,,cython/cython,cython,7498,1343,230,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2022-12-07,2022-12-07,2010-11-21,628,11.93134803364401
-322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7484,803,146,"['graphql', 'python', 'relay', 'framework', 'graphene']",Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2022-12-06,2022-12-01,2015-09-24,375,19.911820600532117
-440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7480,750,118,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2022-12-07,2022-12-07,2018-08-22,224,33.392857142857146
-759,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,7444,843,82,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a ""dream bot"" style interface, and multiple features and other enhancements. For more info, see the website link below.",invoke-ai,2022-12-07,2022-12-06,2022-08-17,16,465.25
-95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7435,573,141,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2022-12-07,2022-12-05,2014-09-27,427,17.388907450718342
-470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,7384,1354,177,"['nlp', 'language-understanding', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'infoxlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'wavlm', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model']",Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2022-12-07,2022-11-28,2019-07-23,176,41.92051905920519
-547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7264,784,122,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2022-12-06,2022-12-07,2018-02-21,250,29.056
-28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7203,751,145,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",Python,,Trax — Deep Learning with Clear Code and Speed,google,2022-12-07,2022-11-09,2019-10-05,165,43.50388265746333
-70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7175,1705,224,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'aesara', 'hacktoberfest', 'pytensor']",Python,https://docs.pymc.io/,pymc: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor,pymc-devs,2022-12-06,2022-12-06,2009-05-05,709,10.11784850926672
-455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7119,1609,462,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",Python,http://tensorlayer.org,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2022-12-07,2022-04-23,2016-06-07,339,20.991154170176916
-165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7013,1445,121,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2022-12-07,2022-12-06,2018-05-09,239,29.343096234309623
-846,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,6919,1086,159,"['data-science', 'feature-extraction', 'time-series']",Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2022-12-07,2022-11-18,2016-10-26,319,21.689655172413794
-868,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,6901,649,88,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training']",Python,https://www.colossalai.org/,ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era,hpcaitech,2022-12-07,2022-12-07,2021-10-28,57,119.27654320987655
-150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6830,1067,194,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2022-12-07,2022-12-07,2017-07-18,281,24.29369918699187
-758,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,6794,263,67,"['electron-app', 'macos', 'stable-diffusion']",JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2022-12-07,2022-11-23,2022-09-06,13,516.9347826086956
-171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,6781,1026,140,[],Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2022-12-07,2022-12-05,2019-10-25,162,41.674275680421424
-650,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,6772,232,67,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python",plasma-umass,2022-12-07,2022-12-07,2019-12-17,155,43.65009208103131
-286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,6729,470,99,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2022-12-06,2022-12-03,2017-10-23,267,25.175307322287548
-131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6650,1208,213,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2022-12-07,2022-12-07,2015-07-02,387,17.14548802946593
-824,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6646,1120,392,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2022-12-07,2021-12-18,2019-05-03,187,35.404870624048705
-65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6625,1514,124,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2022-12-07,2022-12-06,2019-11-23,158,41.77927927927928
-197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,6582,579,159,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2022-12-07,2022-02-25,2020-07-05,126,52.061016949152545
-532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6572,524,81,[],Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2022-12-07,2022-12-06,2019-06-12,182,36.10989010989011
-67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6563,752,228,"['python', 'rest', 'flask', 'mongodb']",Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2022-12-04,2022-11-10,2012-10-22,528,12.423201730665225
-389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6529,1214,150,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2022-12-07,2022-10-24,2017-10-03,270,24.16869381279746
-133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6496,1001,126,[],Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2022-12-07,2021-11-29,2011-09-06,587,11.06374695863747
-215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6449,134,50,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",Python,,icecream: 🍦 Never use print() to debug again.,gruns,2022-12-07,2022-12-04,2018-02-13,251,25.678612059158134
-716,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6442,551,105,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2022-12-06,2022-12-01,2012-09-10,534,12.057219251336898
-82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6408,1022,95,"['sqlalchemy', 'sql', 'python']",Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2022-12-07,2022-12-06,2018-11-27,210,30.493541808293678
-141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6406,834,158,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2022-12-07,2022-12-06,2017-09-08,273,23.403966597077243
-288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6373,537,69,"['python', 'testing', 'fuzzing', 'property-based-testing']",Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2022-12-07,2022-12-04,2013-03-10,508,12.534700758640067
-153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6348,622,82,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2022-12-07,2022-12-05,2013-11-10,473,13.408569704284853
-230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6292,2007,112,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2022-12-07,2022-03-11,2015-10-30,370,16.972639691714836
-602,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6260,663,227,[],Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2022-12-06,2017-12-20,2010-06-29,649,9.643485915492958
-800,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6226,1663,227,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2022-12-06,2022-11-01,2010-10-18,633,9.831265508684863
-356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6193,577,239,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'cli', 'high-performance-computing', 'kubernetes']",Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2022-12-07,2022-12-06,2019-09-17,168,36.83177570093458
-20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6156,405,107,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2022-12-06,2022-12-07,2017-11-10,264,23.255261737722613
-382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,6155,955,89,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'neural-search', 'squad', 'elasticsearch', 'dpr', 'information-retrieval', 'summarization', 'search-engine', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python']",Python,https://deepset.ai/haystack,"haystack: :mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.",deepset-ai,2022-12-07,2022-12-07,2019-11-14,159,38.50312779267203
-459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6151,1084,128,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2022-12-07,2022-12-07,2016-03-10,351,17.48152659358506
-556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6099,264,62,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2022-12-07,2022-12-04,2018-09-22,219,27.77683799609629
-681,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6097,842,215,[],Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2022-12-06,2022-09-29,2014-11-24,419,14.541396933560478
-73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6008,2154,166,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2022-12-07,2022-11-30,2013-05-09,499,12.019434124035438
-121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,5988,743,87,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2022-12-07,2022-12-06,2018-04-30,240,24.920332936979786
-879,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,5958,974,109,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",Python,https://sktime.org,sktime: A unified framework for machine learning with time series,sktime,2022-12-06,2022-12-02,2018-11-06,213,27.95308310991957
-44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,5939,692,125,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2022-12-07,2022-11-11,2017-07-02,283,20.954133064516128
-410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,5925,524,86,"['python', 'asyncio', 'asgi', 'http', 'http-server']",Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2022-12-07,2022-12-06,2017-05-31,288,20.572916666666668
-599,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,5848,1087,244,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2022-12-06,2022-05-31,2014-05-08,447,13.057735247208932
-537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,5797,1779,183,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2022-12-07,2022-12-06,2017-12-13,260,22.296153846153846
-313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,5769,265,65,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2022-12-07,2022-12-01,2018-10-06,217,26.51543007222587
-345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5695,361,70,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2022-12-05,2022-11-12,2018-06-15,233,24.367359413202934
-777,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,5679,310,51,[],Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2022-12-07,2022-12-07,2020-07-25,123,45.95722543352601
-730,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5661,1377,190,"['machine-learning', 'security', 'benchmarking']",Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2022-12-07,2021-09-23,2016-09-15,324,17.426121372031663
-69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5646,1554,113,"['pygithub', 'python', 'github', 'github-api']",Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2022-12-07,2022-11-09,2012-02-25,562,10.036058913153886
-106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5623,960,149,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2022-12-06,2022-10-31,2016-10-23,319,17.603309481216456
-68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5518,2415,160,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2022-12-07,2022-12-04,2017-03-26,297,18.552353506243996
-439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5476,978,144,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2022-12-06,2022-11-14,2012-07-08,543,10.076761303890642
-643,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5470,353,33,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2022-12-07,2022-11-25,2014-09-06,430,12.704047777040477
-723,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5445,766,135,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2022-12-07,2022-12-06,2018-05-31,235,23.086008479709268
-193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5393,498,42,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2022-12-07,2022-05-20,2013-09-02,483,11.159030446349394
-682,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,5350,690,70,[],Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2022-12-07,2022-07-26,2021-12-20,50,106.39204545454545
-96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5321,598,139,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2022-12-07,2020-05-03,2017-08-15,277,19.199484536082473
-773,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,5278,415,42,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",Python,,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2022-12-07,2022-12-05,2021-11-15,55,95.46770025839793
-579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5256,1243,173,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2022-12-06,2022-11-26,2016-08-17,329,15.975683890577507
-278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5229,704,180,"['data', 'data-science', 'knowledge', 'data-analysis']",Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2022-12-06,2022-12-06,2016-08-17,329,15.893617021276595
-511,ml,https://github.com/google/automl,,,,google/automl,automl,5209,1382,150,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",Jupyter Notebook,,automl: Google Brain AutoML,google,2022-12-07,2022-10-09,2020-03-12,142,36.463
-632,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5207,1099,119,"['python', 'cryptography']",Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2022-12-06,2022-12-07,2013-08-07,487,10.69199178644764
-283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5204,308,63,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2022-12-05,2022-11-24,2016-06-27,336,15.474936278674596
-434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5153,2076,187,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2022-12-06,2022-12-03,2011-07-07,595,8.648046032126588
-538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5145,1284,137,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2022-12-07,2022-12-07,2019-08-05,174,29.520491803278688
-3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5124,672,96,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series']",Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2022-12-07,2022-12-07,2019-07-29,175,29.232273838630807
-880,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5102,551,41,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning']",Python,https://unit8co.github.io/darts/,darts: A python library for easy manipulation and forecasting of time series.,unit8co,2022-12-07,2022-12-01,2018-09-13,220,23.10090556274256
-546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5084,895,117,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2022-12-07,2022-10-19,2018-06-27,232,21.913793103448278
-352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5059,409,63,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2022-12-07,2022-12-06,2019-08-09,173,29.122532894736842
-301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5054,979,188,[],Python,,kaggle-api: Official Kaggle API,kaggle,2022-12-07,2021-03-15,2018-01-25,253,19.908835115362972
-161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5051,385,39,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2022-12-07,2022-12-07,2017-03-24,297,16.965930902111324
-81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5031,1801,140,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2022-12-07,2022-11-30,2015-01-02,413,12.160566298342541
-279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5021,378,91,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2022-12-06,2022-10-18,2017-07-06,282,17.751010101010102
-404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5010,290,87,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2022-12-07,2022-12-05,2017-01-16,307,16.304044630404462
-605,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,4975,391,76,[],CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2022-12-07,2022-09-28,2020-02-19,146,34.07534246575342
-214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,4960,957,109,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2022-12-07,2022-12-04,2020-04-28,136,36.43231899265477
-686,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,PyPDF2,4943,1135,139,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",Python,https://pypdf2.readthedocs.io/en/latest/,"PyPDF2: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2022-12-07,2022-12-04,2012-01-06,569,8.676278836509528
-652,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,4934,218,52,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2022-12-07,2022-12-05,2014-03-13,455,10.823566280162959
-471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,4889,461,51,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2022-12-07,2022-12-02,2021-05-18,81,60.25176056338028
-552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,4880,1803,50,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2022-12-07,2022-12-01,2020-06-14,129,37.70419426048565
-15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,4879,328,80,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2022-12-07,2022-11-29,2017-07-18,281,17.354166666666668
-569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4833,850,123,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2022-12-06,2022-09-23,2016-03-01,353,13.685679611650485
-169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4817,752,138,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2022-12-05,2020-07-14,2017-08-07,278,17.309548254620122
-661,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4781,5167,172,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2022-12-07,2022-10-03,2018-09-04,222,21.52218649517685
-380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4756,510,124,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2022-12-07,2022-07-17,2020-08-31,118,40.207729468599034
-642,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4730,683,119,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2022-12-06,2022-12-06,2009-10-02,687,6.877856252596593
-181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,4722,493,59,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2022-12-07,2022-10-28,2018-04-26,240,19.604982206405694
-687,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4715,320,59,[],Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2022-12-07,2022-12-02,2015-04-22,398,11.846733668341708
-513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4695,603,125,[],Python,,apscheduler: Task scheduling library for Python,agronholm,2022-12-07,2022-12-06,2016-03-27,349,13.436222403924775
-265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4676,511,94,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2022-12-07,2022-11-08,2014-10-12,425,10.991269308260577
-223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,4626,651,74,[],Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2022-12-07,2022-01-28,2021-03-13,90,51.07570977917981
-213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4618,265,61,[],Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2022-12-06,2022-12-05,2021-06-09,78,59.205128205128204
-551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4560,1308,83,[],Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2022-12-07,2022-12-07,2018-08-22,224,20.357142857142858
-830,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4537,319,57,"['python', 'boilerplate', 'classes', 'oop', 'attributes', 'srp']",Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2022-12-06,2022-12-07,2015-01-27,410,11.061999303378613
-784,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,4516,494,70,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2022-12-07,2022-09-21,2022-09-06,13,343.60869565217394
-247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4498,325,61,[],Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2022-12-05,2020-07-10,2015-01-21,411,10.944038929440389
-97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4472,448,77,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2022-12-06,2022-11-30,2018-08-21,224,19.951561504142767
-312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4406,190,59,[],Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2022-12-06,2022-11-20,2018-12-18,207,21.270344827586207
-66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4371,942,72,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2022-12-06,2022-12-06,2015-12-09,365,11.975342465753425
-206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4365,326,76,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2022-12-06,2022-03-13,2021-01-17,98,44.346879535558784
-196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4317,336,86,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2022-12-07,2022-05-21,2020-01-08,152,28.401315789473685
-21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4313,899,165,[],Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2022-12-06,2021-05-18,2017-07-07,282,15.255684689236988
-570,util,https://github.com/jd/tenacity,,,,jd/tenacity,tenacity,4294,215,43,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2022-12-06,2022-09-21,2016-08-11,329,13.017756604590732
-603,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,4269,394,63,"['weak-supervision', 'machine-learning', 'confident-learning', 'robust-machine-learning', 'learning-with-confident-examples', 'learning-with-noisy-labels', 'noisy-data', 'data-cleaning', 'audio-classification', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'image-classification', 'label-errors', 'noisy-labels', 'text-classification', 'data-centric-ai', 'data-centric-machine-learning']",Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2022-12-06,2022-12-06,2018-05-11,238,17.88330341113106
-717,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4197,568,141,[],Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2022-12-07,2022-10-31,2011-03-28,610,6.877106741573034
-101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4171,795,121,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2022-12-06,2022-12-03,2014-08-14,433,9.613763582482713
-764,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4137,859,85,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2022-12-07,2022-11-06,2018-04-19,241,17.10513880685174
-734,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4136,562,59,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2022-12-07,2022-12-05,2017-11-23,262,15.734782608695653
-370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4107,430,70,[],Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2022-12-06,2022-12-07,2021-02-25,92,44.22923076923077
-293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4094,243,82,[],Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2022-12-06,2022-11-03,2013-09-13,481,8.498813760379596
-27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4006,259,55,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2022-12-06,2022-12-06,2015-03-18,403,9.94044665012407
-565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,3948,731,123,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2022-12-06,2022-11-28,2016-07-24,332,11.876235496347228
-542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,3944,226,39,[],C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2022-12-07,2022-12-06,2019-03-05,196,20.107793153678077
-227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,3915,432,82,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2022-12-07,2022-12-06,2019-01-24,201,19.394904458598727
-258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,3896,1223,117,[],Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2022-12-07,2022-12-02,2016-04-14,346,11.232289950576606
-13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3861,538,102,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2022-12-06,2022-12-05,2016-05-18,342,11.289473684210526
-549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,3839,685,83,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2022-12-07,2022-11-30,2019-08-23,171,22.356905158069882
-43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3822,303,64,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2022-12-06,2022-10-27,2016-09-09,325,11.73421052631579
-362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,3816,516,80,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2022-12-07,2022-12-06,2019-06-10,182,20.934169278996865
-355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,3798,708,74,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2022-12-07,2022-12-05,2018-12-10,208,18.234567901234566
-184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,3788,437,74,['jax'],Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2022-12-07,2022-12-07,2020-01-10,151,24.96798493408663
-376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,3756,145,44,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2022-12-06,2022-12-04,2021-07-06,74,50.65895953757225
-199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3754,315,67,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2022-12-07,2022-11-04,2019-07-15,177,21.174858984689767
-896,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,3725,128,46,[],Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2022-12-07,2022-11-30,2022-11-16,3,1241.6666666666667
-343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,3725,231,62,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2022-12-07,2022-11-20,2020-05-19,133,27.9774678111588
-753,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,3708,252,151,[],Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2022-12-07,2022-11-21,2022-09-08,12,288.4
-388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3672,419,38,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2022-12-07,2022-07-07,2019-03-21,193,18.941783345615328
-855,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3671,363,76,[],Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2022-12-07,2022-12-06,2011-10-14,581,6.310658153241651
-357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3661,888,245,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2022-12-06,2022-12-06,2019-05-14,186,19.66768994627782
-822,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3633,683,89,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2022-12-07,2022-12-06,2019-10-11,164,22.056374674761493
-91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3618,575,76,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2022-12-07,2022-11-10,2019-07-09,178,20.30954290296712
-354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3615,388,212,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2022-12-07,2022-11-18,2019-08-27,171,21.12270450751252
-762,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3606,813,176,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2022-12-07,2022-11-22,2017-12-14,259,13.876855415063222
-58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3594,732,193,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2022-12-06,2022-12-06,2013-09-30,479,7.49865871833085
-793,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3565,208,37,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",TypeScript,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2022-12-07,2022-12-06,2020-05-21,132,26.833333333333332
-423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3552,521,99,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",Python,,RPA-Python: Python package for doing RPA,tebelorg,2022-12-06,2022-09-07,2019-03-30,192,18.445103857566764
-783,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,3545,167,70,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",Python,,dream-textures: Stable Diffusion built-in to the Blender shader editor,carson-katri,2022-12-07,2022-12-06,2022-09-08,12,275.72222222222223
-209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3527,314,44,['pywebio'],Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2022-12-06,2022-11-26,2020-02-29,144,24.39624505928854
-616,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3499,243,34,[],Python,,freezegun: Let your Python tests travel through time,spulec,2022-12-07,2022-08-12,2012-12-11,521,6.714089912280702
-309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3491,637,63,"['solidity', 'ethereum', 'static-analysis']",Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2022-12-06,2022-11-28,2018-09-05,222,15.725225225225225
-770,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3487,162,40,"['awesome', 'database', 'spreadsheet']",TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2022-12-07,2022-12-05,2020-05-22,132,26.27448869752422
-442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3482,1946,170,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2022-12-06,2022-12-06,2012-10-09,530,6.568040959310159
-287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3443,770,105,[],Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2022-12-07,2022-12-06,2013-06-27,492,6.9857971014492755
-280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3431,448,46,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2022-12-07,2022-12-06,2020-09-22,115,29.79776674937965
-778,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3414,505,76,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2022-12-06,2022-11-25,2020-08-31,118,28.86231884057971
-782,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3407,203,32,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2022-12-07,2022-08-17,2022-06-30,22,149.05625
-462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3376,116,75,[],Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2022-12-07,2022-10-25,2012-08-24,536,6.2901250998136815
-754,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,3360,299,79,[],Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2022-12-07,2020-04-18,2020-04-13,138,24.297520661157026
-757,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3349,157,49,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2022-12-07,2022-12-06,2017-05-31,288,11.628472222222221
-368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3324,331,57,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2022-12-07,2022-08-06,2020-06-10,130,25.56923076923077
-200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3312,277,63,[],Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2022-12-07,2022-12-06,2020-10-30,109,30.1875
-421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3308,497,146,[],Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2022-12-07,2022-11-15,2017-07-27,279,11.820316488004083
-833,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3300,873,128,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2022-12-07,2022-12-07,2016-08-20,328,10.043478260869565
-897,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3268,184,65,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2022-12-07,2022-11-29,2017-04-24,293,11.142717973697028
-4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3242,554,58,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2022-12-07,2022-12-05,2019-02-26,197,16.444927536231884
-790,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3229,264,74,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2022-12-07,2022-12-03,2022-10-06,8,364.56451612903226
-321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3224,430,57,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2022-12-06,2022-12-05,2014-11-20,419,7.678802313712147
-663,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3220,610,102,"['cython', 'python', 'zeromq']",Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2022-12-06,2022-12-06,2010-07-21,646,4.984520123839009
-208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3219,762,145,[],Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2022-12-03,2021-06-10,2021-05-08,82,38.984429065743946
-93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3217,668,113,[],C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2022-12-07,2022-11-23,2011-10-09,582,5.523424086337994
-361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3212,315,77,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",Python,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2022-12-07,2022-11-11,2016-12-26,310,10.351749539594843
-895,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3195,646,70,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2022-12-07,2022-11-30,2019-05-15,186,17.177419354838708
-319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3177,388,119,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2022-12-06,2022-11-23,2014-03-20,454,6.984610552763819
-557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3149,582,63,"['jupyter', 'sphinx-doc', 'documentation-generator']",Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2022-12-07,2022-11-23,2018-06-14,233,13.465485644471594
-804,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3142,511,63,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2022-12-07,2022-11-25,2015-07-15,386,8.139896373056995
-99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3140,616,82,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2022-12-07,2022-12-05,2016-04-08,347,9.030402629416598
-250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3128,721,88,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2022-12-07,2022-11-04,2010-12-28,623,5.019715726730857
-832,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3115,386,200,[],Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2022-11-26,2019-08-15,2012-10-26,527,5.902815376285869
-35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3105,590,120,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2022-12-06,2022-11-01,2013-01-04,517,5.997516556291391
-182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3097,443,41,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest']",Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2022-12-07,2022-12-07,2016-09-17,324,9.54181338028169
-518,util,https://github.com/spack/spack,,,,spack/spack,spack,3089,1787,104,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2022-12-07,2022-12-07,2014-01-08,465,6.643010752688172
-443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3080,497,82,[],Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2022-12-06,2022-12-07,2011-12-31,570,5.398097145718578
-0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3077,612,93,[],Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2022-12-06,2022-09-23,2012-04-18,555,5.544144144144144
-260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3071,789,76,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2022-12-07,2022-12-02,2010-05-29,653,4.6987978142076505
-384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3061,631,74,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2022-12-06,2022-05-22,2019-04-13,190,16.06221889055472
-363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3054,1348,103,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2022-12-06,2022-12-06,2018-05-12,238,12.801197604790419
-140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3029,270,54,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2022-12-07,2022-12-03,2020-08-09,121,24.94470588235294
-138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3023,318,72,"['machine-learning', 'natural-language-processing', 'visualization']",TypeScript,https://pair-code.github.io/lit,lit: The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.,pair-code,2022-12-07,2022-12-02,2020-07-28,123,24.548723897911835
-610,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3012,724,119,"['python', 'selenium', 'webdriver', 'selenium-python', 'testing', 'rpa', 'e2e-testing', 'seleniumbase', 'awesome-list', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'testing-tools', 'chrome', 'firefox', 'recorder', 'webkit', 'webautomation', 'chromedriver']",Python,https://seleniumbase.io,SeleniumBase: Python framework for web automation and testing. Includes a dashboard and a test-generating recorder.,seleniumbase,2022-12-07,2022-12-05,2014-03-04,457,6.58875
-42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3004,240,61,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2022-12-06,2022-09-18,2017-05-05,291,10.297747306562194
-698,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,2984,356,63,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2022-12-05,2022-11-25,2010-05-07,656,4.543832934522515
-336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,2981,476,109,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2022-12-07,2022-12-06,2017-06-30,283,10.507049345417926
-139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,2979,604,122,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2022-12-06,2022-11-14,2013-03-21,506,5.87739571589628
-272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,2956,449,72,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-06,2022-12-07,2010-08-19,641,4.6053861562430445
-285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,2952,740,245,[],Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2022-12-05,2022-12-06,2018-09-20,219,13.426900584795321
-221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,2932,177,43,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2022-12-07,2022-11-30,2021-03-27,88,33.10322580645161
-623,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2919,133,73,"['functional-programming', 'utilities', 'python']",Python,,funcy: A fancy and practical functional tools,suor,2022-12-06,2022-08-25,2012-10-13,529,5.5120043161586185
-77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2915,416,89,[],Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2022-12-07,2020-04-07,2014-09-30,427,6.8244147157190636
-348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,2913,317,32,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2022-12-06,2022-12-06,2020-11-25,106,27.4811320754717
-381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,2903,178,35,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2022-12-06,2022-12-06,2019-05-31,183,15.801710730948678
-715,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,2896,304,266,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2022-12-07,2022-12-05,2019-10-21,163,17.73578302712161
-704,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2884,226,48,"['python', 'data-validation']",Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2022-12-06,2021-05-05,2012-10-10,530,5.441509433962264
-476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2882,360,94,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2022-12-06,2022-11-17,2015-12-23,363,7.9393939393939394
-660,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2880,654,154,[],C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2022-12-07,2022-12-05,2017-09-29,270,10.638522427440634
-390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,2878,401,116,[],Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2022-12-07,2022-03-21,2021-12-10,51,55.651933701657455
-366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2866,299,53,[],Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2022-12-07,2022-10-12,2020-04-09,138,20.63991769547325
-811,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2856,196,27,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks', 'hacktoberfest']",Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2022-12-07,2022-11-22,2020-01-20,150,19.00380228136882
-624,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2811,220,34,[],Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2022-12-07,2022-12-05,2012-04-26,553,5.075315965953057
-761,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2805,759,97,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2022-12-06,2022-12-02,2018-12-12,208,13.485576923076923
-261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2800,240,45,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2022-12-07,2022-12-07,2021-07-28,71,39.436619718309856
-787,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2789,480,92,[],Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2022-12-06,2022-10-03,2019-02-05,200,13.935046395431835
-154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2786,189,53,"['pandas', 'dataframe', 'gui', 'viewer']",Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2022-12-07,2022-03-16,2019-06-12,182,15.307692307692308
-765,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,2784,210,29,"['outpainting', 'stablediffusion']",Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2022-12-07,2022-12-07,2022-09-02,13,203.0
-270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2776,340,43,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2022-12-07,2022-12-07,2018-12-21,206,13.42916378714582
-488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2775,853,106,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2022-12-06,2022-12-04,2013-09-30,479,5.789865871833085
-792,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2764,180,78,[],Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2022-12-07,2022-12-02,2022-07-15,20,133.4344827586207
-203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2749,132,48,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2022-12-06,2021-05-06,2021-04-06,87,31.54590163934426
-729,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,2738,169,22,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2022-12-05,2022-12-07,2021-10-12,60,45.524940617577194
-641,testing,https://github.com/behave/behave,,,,behave/behave,behave,2733,608,119,[],Python,,"behave: BDD, Python style.",behave,2022-12-05,2022-11-23,2011-10-25,580,4.710908643191332
-156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,2732,275,37,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2022-12-06,2022-11-24,2020-08-05,122,22.39344262295082
-170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2674,360,48,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2022-12-07,2022-12-07,2020-05-04,135,19.76557550158395
-34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2635,222,44,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2022-12-01,2022-10-28,2020-04-06,139,18.91794871794872
-130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2627,259,85,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2022-12-06,2022-11-30,2014-10-16,424,6.183254875588433
-113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2627,460,94,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2022-12-01,2021-06-22,2017-07-03,283,9.273323247604639
-111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2611,326,68,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2022-12-06,2020-01-22,2016-09-15,324,8.037379067722076
-709,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2609,161,25,"['pandas', 'python', 'parallel']",Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2022-12-06,2022-12-06,2019-03-10,195,13.350146198830409
-801,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2589,212,57,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2022-12-06,2022-11-01,2011-06-24,597,4.3315009560229445
-85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2562,395,62,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2022-12-07,2021-10-29,2018-04-13,242,10.55562095350206
-539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2552,546,52,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2022-12-07,2022-11-21,2019-12-02,157,16.225249772933697
-611,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2547,216,45,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2022-12-07,2022-11-20,2011-05-13,603,4.218883104590629
-159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2528,514,82,[],Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2022-12-04,2020-10-09,2013-08-20,485,5.210836277974087
-94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2513,311,60,[],Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2022-12-07,2022-07-12,2010-02-25,666,3.7684233076263927
-369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2504,277,51,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2022-12-07,2022-12-07,2019-12-06,156,15.978122151321786
-428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2500,255,33,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2022-12-07,2022-12-06,2014-09-13,429,5.819753907549052
-433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2496,616,133,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2022-12-07,2022-03-16,2015-01-15,411,6.060353798126951
-675,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2485,553,28,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",Jupyter Notebook,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2022-12-07,2022-12-02,2021-09-13,64,38.65555555555556
-553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2471,292,52,[],Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2022-12-07,2022-12-07,2018-07-30,227,10.871778755499685
-98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2458,450,120,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2022-12-03,2022-12-03,2014-03-17,455,5.398807656102918
-845,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2452,237,50,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2022-12-07,2022-12-06,2019-05-03,187,13.062404870624048
-431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2418,313,47,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui']",Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2022-12-06,2022-12-06,2018-08-23,223,10.801531589023613
-600,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2407,894,96,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2022-12-07,2022-12-05,2020-03-08,143,16.78187250996016
-172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2378,120,28,[],TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2022-12-04,2022-12-05,2019-11-08,160,14.796444444444445
-708,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2357,308,41,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2022-12-07,2022-11-03,2018-11-05,213,11.050904219691896
-174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2346,91,33,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2022-12-05,2022-07-14,2017-06-01,287,8.149875930521091
-858,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2334,151,43,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2022-12-06,2022-11-24,2015-11-16,368,6.337470907680372
-129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2330,364,61,"['holoviz', 'holoviews', 'plotting']",Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2022-12-05,2022-12-05,2014-05-07,448,5.200892857142857
-136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2329,320,39,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2022-12-06,2022-04-03,2020-03-20,141,16.434475806451612
-875,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2312,947,119,"['parallel', 'jupyter', 'python']",Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2022-12-06,2022-11-22,2015-04-09,399,5.78206502322258
-886,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2300,263,93,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",Jupyter Notebook,,deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.,huggingface,2022-12-07,2022-12-06,2022-04-21,32,70.0
-809,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2299,236,33,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2022-12-07,2022-11-04,2019-10-05,165,13.885245901639344
-691,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2293,395,53,"['text2image', 'text-to-image']",Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2022-12-05,2022-10-02,2021-07-02,74,30.690248565965582
-51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2292,330,27,[],Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2022-12-06,2022-12-06,2018-06-23,232,9.855036855036856
-246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2285,83,32,[],Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2022-12-07,2022-11-23,2021-03-01,92,24.760061919504643
-296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2283,711,157,[],Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2022-12-07,2022-11-17,2016-04-24,345,6.609181141439206
-696,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2270,190,37,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2022-12-06,2022-11-22,2020-02-18,146,15.532746823069404
-814,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2265,158,13,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",Python,https://docs.deepchecks.com,deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2022-12-07,2022-12-06,2021-10-11,60,37.57109004739336
-145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2256,418,62,[],C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2022-12-06,2022-04-16,2017-07-06,282,7.975757575757576
-735,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2217,371,77,"['python', 'impala', 'pandas', 'spark', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'sqlalchemy', 'pyarrow', 'arrow', 'mssql', 'polars']",Python,http://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2022-12-06,2022-12-07,2015-04-17,398,5.560372626298817
-308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2206,403,59,"['cryptography', 'security', 'python']",C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2022-12-06,2022-12-06,2014-05-02,448,4.91626870423432
-866,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,2173,189,39,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",Python,https://www.mage.ai/,mage-ai: 🧙 A modern replacement for Airflow.,mage-ai,2022-12-07,2022-12-06,2022-05-16,29,74.2
-253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2158,328,37,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2022-12-07,2022-12-07,2020-08-20,119,18.00476758045292
-710,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2152,97,28,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2022-12-06,2022-08-16,2018-04-07,243,8.835190615835778
-617,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2133,312,82,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2022-12-05,2022-12-06,2015-03-15,403,5.287181303116148
-807,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2126,356,84,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2022-12-03,2019-04-05,2018-01-10,256,8.3046875
-503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2082,888,204,[],JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2022-12-07,2022-11-30,2015-04-22,398,5.231155778894473
-222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2048,411,41,"['python', 'dynamodb', 'aws']",Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2022-12-07,2022-12-06,2014-01-20,463,4.420598211532532
-198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2044,251,38,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2022-12-07,2022-12-02,2020-04-29,136,15.029411764705882
-268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2038,211,43,"['jupyterlab', 'jupyter', 'jupyter-notebook']",TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2022-12-07,2022-12-06,2017-05-04,291,6.982868330885952
-860,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2031,530,92,"['jupyter', 'jupyter-notebook', 'nbconvert']",Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2022-11-30,2022-11-07,2012-08-05,539,3.765095338983051
-867,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2027,34,14,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2022-12-06,2022-12-06,2022-07-27,19,106.6842105263158
-724,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2014,334,18,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'research', 'experiments', 'reproducibility', 'experiment-tracking', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2022-12-07,2022-11-11,2020-11-04,109,18.477064220183486
-878,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2009,117,20,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'auto-arima', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'autoarima', 'mstl', 'theta']",Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2022-12-07,2022-12-06,2021-11-24,54,37.2037037037037
-411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,1999,420,46,"['python', 'yaml']",Python,,pyyaml: Canonical source repository for PyYAML,yaml,2022-12-06,2022-09-13,2011-11-03,578,3.453356367226061
-881,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,1998,233,70,"['statistics', 'time-series']",Python,,pyflux: Open source time series library for Python,rjt1990,2022-12-03,2018-12-16,2016-02-16,355,5.625905068382944
-748,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,1962,127,35,"['fastapi', 'best-practices']",,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2022-12-07,2022-09-16,2022-08-09,17,114.45
-548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,1952,159,25,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",Python,,lightly: A python library for self-supervised learning on images.,lightly-ai,2022-12-07,2022-12-06,2020-10-13,112,17.406369426751592
-323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1905,488,105,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2022-12-06,2022-11-10,2012-07-17,542,3.513833992094862
-590,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1891,405,40,"['python', 'science', 'units']",Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2022-12-06,2022-11-29,2012-07-13,542,3.4843379836799158
-233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1878,576,98,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2022-12-06,2022-11-14,2016-12-27,310,6.0552740672501155
-353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1868,213,43,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2022-12-06,2022-11-24,2019-02-26,197,9.47536231884058
-441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1853,490,152,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2022-12-06,2022-12-01,2013-11-04,474,3.9069277108433735
-813,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,1849,81,14,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql']",Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2022-12-07,2022-12-06,2022-03-07,39,47.06545454545454
-713,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1832,565,46,[],Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2022-12-07,2022-10-22,2016-02-20,354,5.1668009669621275
-452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1829,155,12,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2022-12-06,2022-11-14,2018-11-01,213,8.55243820975284
-856,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1823,128,22,[],Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2022-12-04,2021-10-25,2012-06-26,545,3.344077568134172
-823,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1814,149,22,[],Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2022-12-06,2022-10-26,2013-06-28,492,3.6816468541606264
-46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1807,233,53,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2022-12-04,2022-07-26,2016-12-21,311,5.810289389067524
-540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,1805,133,35,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2022-12-07,2022-12-01,2022-03-28,36,49.74409448818898
-115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1799,479,55,[],Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2022-12-06,2022-11-24,2012-09-21,532,3.37704478412443
-601,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1792,86,38,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",Python,,felicette: Satellite imagery for dummies.,plant99,2022-12-06,2021-09-08,2020-07-12,125,14.287015945330296
-648,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1790,208,45,[],Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2022-12-06,2022-10-28,2013-05-29,497,3.601609657947686
-871,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,1783,26,23,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2022-12-07,2022-11-29,2022-01-15,46,38.285276073619634
-295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1782,170,45,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2022-12-02,2022-10-18,2016-10-14,320,5.556347438752784
-506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,1776,378,24,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence']",Python,https://flower.dev,Flower - A Friendly Federated Learning Framework,adap,2022-12-07,2022-12-06,2020-02-17,146,12.140625
-63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1774,756,90,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2022-12-05,2022-12-07,2014-09-19,428,4.137954015328224
-310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1759,185,48,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2022-12-07,2022-11-29,2015-06-02,392,4.485610200364299
-32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1759,148,43,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2022-12-05,2022-11-07,2010-07-09,647,2.71570357300397
-9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1754,159,60,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2022-11-27,2022-02-12,2016-09-27,323,5.4279398762157385
-201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1743,330,39,[],Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2022-12-05,2021-07-11,2019-07-01,179,9.72191235059761
-843,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1740,899,131,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2022-12-06,2022-12-07,2017-11-14,264,6.587344510546242
-749,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,1722,151,19,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2022-12-07,2022-12-05,2022-09-06,13,131.02173913043478
-25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1705,107,22,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2022-12-07,2022-12-05,2018-06-27,232,7.349137931034483
-297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1704,236,23,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2022-12-07,2022-11-11,2017-05-14,290,5.867191342843089
-365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1686,58,11,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2022-12-04,2022-11-26,2021-11-17,55,30.654545454545456
-806,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1682,283,64,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2022-12-07,2022-11-02,2020-01-09,151,11.076199435559737
-416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1667,340,57,[],Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2022-12-04,2021-03-24,2015-04-09,399,4.168988924615935
-543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1659,170,18,"['sqlalchemy', 'sql', 'python']",Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2022-12-07,2022-11-28,2018-11-27,210,7.894629503738953
-217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1648,87,37,[],Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2022-12-06,2022-08-31,2021-04-27,84,19.58573853989813
-330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1637,482,84,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2022-12-07,2019-10-02,2017-03-07,300,5.454069490718705
-302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1636,169,39,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2022-12-06,2022-11-28,2014-04-02,453,3.6114790286975715
-732,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1634,1442,16,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2022-12-07,2022-02-07,2020-06-24,128,12.765625
-424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1633,143,27,"['python', 'ipython', 'debugger']",Python,,ipdb: Integration of IPython pdb,gotcha,2022-12-02,2021-12-30,2011-01-15,620,2.6314456721915285
-755,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,1624,61,19,"['deep-learning', 'search', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'timm', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'hacktoberfest-accepted']",Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2022-12-07,2022-12-07,2022-08-01,18,88.8125
-699,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1617,106,18,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2022-12-06,2022-02-20,2016-02-03,357,4.529411764705882
-256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1605,517,75,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2022-12-07,2022-12-02,2017-12-16,259,6.183269124931205
-779,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1598,231,56,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2022-12-07,2022-08-31,2019-07-17,177,9.028248587570621
-383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1593,181,37,[],Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2022-12-07,2022-08-09,2019-12-29,153,10.38268156424581
-509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1587,594,57,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2022-12-06,2022-11-23,2018-11-26,210,7.546875
-768,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1570,195,14,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2022-12-07,2022-11-19,2019-11-26,158,9.92773261065944
-767,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1566,458,52,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2022-12-07,2022-04-24,2019-03-21,193,8.078113485630066
-195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1560,249,16,[],Python,https://pettingzoo.farama.org,PettingZoo: Gymnasium for multi-agent reinforcement learning,pettingzoo-team,2022-12-07,2022-11-15,2020-01-20,150,10.38022813688213
-263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1560,2100,150,[],Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2022-12-06,2022-12-04,2013-03-22,506,3.078658020862701
-825,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interview-enlightener,1557,327,47,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",Jupyter Notebook,,machine-learning-interview-enlightener: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2022-12-07,2022-05-25,2021-01-31,96,16.14666666666667
-597,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1553,115,31,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2022-12-06,2022-11-30,2020-01-07,152,10.207511737089202
-377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1549,108,20,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2022-12-05,2022-01-18,2020-11-07,108,14.267105263157895
-143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1542,113,37,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2022-12-06,2020-07-17,2018-02-24,249,6.178591871780195
-299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1540,101,25,[],Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2022-12-04,2022-11-16,2010-04-08,660,2.3303069606571554
-596,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1536,265,41,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2022-12-07,2022-09-14,2018-06-15,233,6.572127139364303
-311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1530,84,26,[],Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2022-12-06,2022-11-04,2018-03-13,247,6.190751445086705
-635,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1522,76,43,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2022-12-04,2022-05-18,2017-07-22,280,5.424643584521385
-662,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1514,285,55,[],Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2022-12-06,2022-12-05,2014-08-07,434,3.4816031537450725
-205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1498,120,30,"['python', 'visualization', 'debugger']",Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2022-12-06,2021-11-13,2019-04-24,189,7.925925925925926
-799,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1497,88,25,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2022-12-07,2022-11-14,2017-11-10,264,5.655153804641123
-458,ml-dl,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,1495,68,17,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference']",Python,,nebullvm: Accelerate AI models inference leveraging best-of-breed optimization techniques 🚀,nebuly-ai,2022-12-06,2022-11-30,2022-02-12,42,35.11744966442953
-612,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1488,118,33,"['pytest', 'mock', 'hacktoberfest']",Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2022-12-06,2022-11-29,2014-07-17,437,3.39836867862969
-498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1472,237,68,[],Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2022-12-02,2021-12-14,2020-09-09,117,12.581196581196581
-224,sim,https://github.com/google/brax,,,,google/brax,brax,1471,146,31,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2022-12-07,2022-10-13,2021-06-02,79,18.620253164556964
-795,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1469,130,22,"['python', 'api', 'rest', 'mypy', 'pydantic', 'types', 'asgi', 'json', 'openapi', 'redoc', 'starlette']",Python,https://starlite-api.github.io/starlite/,"starlite: Light, Flexible and Extensible ASGI API framework",starlite-api,2022-12-06,2022-12-06,2021-12-06,52,28.095628415300546
-436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1454,133,18,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2022-12-07,2022-11-30,2021-04-28,84,17.30952380952381
-531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1443,103,36,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2022-12-07,2022-12-05,2020-12-11,103,13.913223140495868
-638,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1427,664,59,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2022-12-07,2022-12-06,2015-09-13,377,3.7808478425435275
-591,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1415,233,34,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2022-12-06,2022-02-18,2020-03-21,141,9.994954591321896
-861,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1415,509,50,[],Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2022-12-06,2022-12-06,2015-04-09,399,3.538763844230082
-324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1413,122,31,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2022-12-06,2022-11-28,2016-10-19,320,4.415625
-108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1413,227,31,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2022-11-27,2022-06-03,2016-02-26,353,3.994749596122779
-378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1396,182,15,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2022-12-07,2022-06-16,2019-10-30,162,8.617283950617283
-429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1381,115,16,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2022-12-07,2022-09-28,2019-08-17,172,8.00248344370861
-284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1371,166,46,"['python', 'orm', 'database']",Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2022-11-27,2022-03-13,2015-05-24,393,3.4847494553376905
-149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1368,604,88,"['salesforce', 'api', 'api-client', 'python']",Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2022-12-05,2022-10-26,2013-01-17,515,2.651896981445583
-267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1363,87,22,"['latex', 'academic-publishing', 'science', 'arxiv']",Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2022-12-07,2022-01-18,2017-08-12,277,4.91044776119403
-438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1361,162,40,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2022-12-06,2022-12-01,2021-03-10,91,14.956043956043956
-613,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1353,188,33,"['pytest', 'python']",Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2022-12-02,2022-12-03,2014-04-17,450,3.0009505703422055
-721,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1353,71,17,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2022-12-06,2022-12-06,2018-09-03,222,6.086760925449871
-298,crypto,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1341,172,28,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2022-12-07,2022-11-24,2021-03-09,91,14.713166144200628
-478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1340,233,43,[],Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2022-12-05,2022-10-04,2018-09-20,219,6.094866796621183
-318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1338,253,56,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2022-12-07,2022-12-04,2016-01-04,361,3.7034400948991695
-683,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1334,62,24,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2022-12-06,2022-08-30,2022-05-03,31,42.8348623853211
-460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1333,311,64,"['natural-language-processing', 'machine-learning', 'research']",Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2022-11-28,2022-10-17,2018-10-16,216,6.167217448777263
-659,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1332,261,45,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2022-12-06,2022-11-22,2016-10-21,319,4.166219839142091
-898,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1320,223,40,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2022-12-07,2022-10-17,2017-07-13,281,4.683223517486062
-450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1314,348,61,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2022-12-07,2022-10-27,2014-05-07,448,2.9330357142857144
-876,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1310,482,26,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2022-12-07,2022-11-30,2021-12-19,50,25.977337110481585
-317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1304,247,29,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2022-12-07,2022-12-04,2019-06-09,182,7.148003132341425
-877,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1282,222,36,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2022-12-07,2022-11-03,2017-03-30,296,4.318575553416747
-766,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1276,167,19,[],Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2022-12-06,2022-11-22,2022-09-15,11,107.6144578313253
-676,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,incubator-sedona,1269,532,101,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",Java,http://sedona.apache.org/,incubator-sedona: A cluster computing framework for processing large-scale geospatial data,apache,2022-12-05,2022-12-03,2015-04-24,397,3.1907327586206895
-391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1264,185,24,"['image-translation', 'gans', 'anime']",Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2022-12-06,2022-02-05,2021-12-17,50,24.92394366197183
-514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1235,195,20,[],Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2022-12-06,2022-11-23,2016-12-28,310,3.9838709677419355
-465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1231,200,24,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2022-12-07,2022-12-06,2021-07-12,73,16.797270955165693
-885,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1218,207,19,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2022-12-06,2022-12-06,2019-08-15,172,7.046280991735538
-414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1213,222,37,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2022-12-06,2021-06-07,2014-06-26,440,2.7514581983149706
-178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1211,271,47,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2022-12-05,2022-11-30,2017-03-14,299,4.048233046800382
-581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1203,130,20,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2022-12-07,2022-12-07,2021-02-22,93,12.895865237366003
-474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1183,71,36,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2022-12-07,2022-12-01,2020-12-14,103,11.453665283540802
-162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1177,152,30,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2022-12-03,2022-11-17,2019-07-26,175,6.698373983739837
-264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1173,60,15,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2022-12-06,2022-11-23,2020-08-02,122,9.581096849474912
-435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1169,188,39,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2022-12-06,2022-12-06,2018-05-11,238,4.897067624177139
-566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1165,433,54,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2022-12-06,2022-08-05,2017-07-22,280,4.152240325865581
-372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1162,137,32,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2022-12-07,2022-12-05,2021-05-21,80,14.39646017699115
-647,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1161,235,59,[],Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2022-12-01,2022-11-17,2011-06-03,600,1.9326991676575505
-451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1155,232,31,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2022-12-05,2022-11-29,2013-05-04,500,2.3073630136986303
-494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1154,291,27,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2022-12-06,2021-12-12,2017-12-09,260,4.428728070175438
-304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1150,42,12,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2022-12-07,2022-12-07,2020-10-16,111,10.294117647058824
-725,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1149,27,13,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2022-12-03,2022-07-11,2021-03-28,88,12.993537964458804
-862,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1148,314,43,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2022-12-07,2022-11-30,2014-09-13,429,2.672430994346525
-16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1138,295,62,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2022-12-05,2022-11-17,2012-12-11,521,2.1836622807017543
-636,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1137,484,26,"['python', 'syntax-highlighting']",Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2022-12-07,2022-12-05,2019-08-31,170,6.665829145728643
-489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1137,334,55,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2022-12-06,2022-11-30,2012-08-03,539,2.106670195870831
-338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1133,67,13,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2022-12-06,2022-08-20,2021-10-27,58,19.53448275862069
-194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1128,78,15,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2022-12-07,2022-11-27,2019-01-14,203,5.548840477863668
-720,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1125,74,28,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2022-12-07,2022-12-05,2021-11-18,54,20.5078125
-403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1125,95,24,"['async-await', 'trio', 'asyncio', 'curio']",Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2022-12-01,2022-11-26,2018-08-19,224,5.012730744748568
-545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1119,178,27,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2022-12-07,2022-05-29,2018-11-29,209,5.332198774676651
-802,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1113,402,36,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2022-12-07,2022-12-06,2019-05-07,187,5.947328244274809
-726,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1097,21,17,[],C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2022-12-01,2022-08-31,2022-07-16,20,53.326388888888886
-618,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1096,186,53,[],Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2022-12-06,2022-12-06,2013-03-29,505,2.167231638418079
-396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1095,49,24,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'http-server', 'rest', 'web', 'framework']",Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2022-12-05,2022-11-20,2018-11-22,210,5.193089430894309
-656,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1081,69,40,[],Python,,httptools: Fast HTTP parser,magicstack,2022-11-29,2022-09-13,2016-04-25,345,3.1307405875051715
-448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1080,283,81,[],Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2022-12-01,2022-07-23,2013-02-19,511,2.112912241475685
-798,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1078,152,31,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2022-12-06,2022-12-02,2009-12-10,677,1.5903055848261327
-771,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1065,77,30,[],C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2022-12-03,2022-12-06,2020-03-30,140,7.591649694501018
-512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1064,79,17,[],Python,,typeguard: Run-time type checker for Python,agronholm,2022-12-03,2022-10-11,2015-12-27,362,2.935750886874261
-417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1063,159,20,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2022-12-06,2022-11-30,2018-03-04,248,4.27889591719379
-829,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1059,75,64,[],Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2022-12-07,2022-12-05,2022-10-13,7,134.78181818181818
-651,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1058,35,14,"['python', 'profiling', 'performance', 'debugging-tools']",C,,austin: Python frame stack sampler for CPython,p403n1x87,2022-12-04,2022-10-28,2018-09-20,219,4.8122157244964265
-626,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1054,264,93,[],Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2022-12-06,2022-10-18,2011-01-24,619,1.7019607843137254
-703,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,1053,296,47,[],Python,,openai/openai-python,openai,2022-12-07,2022-11-17,2020-10-25,110,9.535575679172057
-627,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1052,210,43,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2022-12-07,2022-12-07,2015-12-15,364,2.888976069046685
-619,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1050,115,34,[],Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2022-12-06,2022-12-01,2015-04-11,399,2.6278155166249553
-239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1043,81,17,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2022-12-07,2022-11-29,2018-07-14,229,4.543248288736777
-609,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1038,185,45,"['hacktoberfest', 'pytest', 'pytest-plugin']",Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2022-12-06,2022-12-06,2015-09-01,379,2.7377543330821403
-644,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1035,70,26,"['python', 'logging', 'logzero', 'logfiles']",Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2022-12-04,2021-03-17,2017-06-12,286,3.6152694610778444
-449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1030,90,35,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2022-12-01,2022-03-18,2016-06-29,336,3.0654761904761907
-191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1030,174,23,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2022-12-06,2022-11-18,2020-03-03,144,7.145688800792864
-817,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1029,94,29,[],Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2022-12-07,2022-12-07,2018-11-28,210,4.9
-654,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1026,57,13,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2022-12-06,2022-11-25,2009-10-07,687,1.4934497816593886
-580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1011,114,9,"['dataclasses', 'json', 'python']",Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2022-12-07,2022-08-14,2018-04-21,241,4.185097575399172
-598,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,994,112,21,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2022-12-06,2021-03-15,2020-01-07,152,6.533333333333333
-666,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,994,79,36,"['evaluation', 'machine-learning']",Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2022-12-07,2022-12-06,2022-03-30,36,27.61111111111111
-406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,989,82,10,[],Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2022-12-03,2022-07-24,2012-10-04,530,1.8630247578040904
-728,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,984,258,63,[],Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2022-12-06,2022-07-28,2014-03-04,457,2.1525
-444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,977,190,49,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2022-11-24,2022-03-01,2011-12-31,570,1.712318477716575
-447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,971,97,22,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2022-12-07,2022-12-06,2019-07-04,178,5.428913738019169
-739,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,970,40,20,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2022-12-03,2022-11-16,2019-02-09,199,4.860415175375805
-707,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,965,88,247,[],Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2022-12-04,2021-01-05,2018-01-31,253,3.814229249011858
-614,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,954,67,17,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2022-12-06,2022-12-04,2013-06-25,493,1.9345307068366164
-482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,948,275,51,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2022-12-06,2022-11-23,2018-05-31,235,4.019382192610539
-631,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,941,134,29,['python'],Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2022-12-06,2022-12-06,2013-05-11,499,1.8836145267372033
-633,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,935,220,28,"['cryptography', 'libsodium', 'nacl', 'python']",C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2022-12-04,2022-12-05,2013-02-22,510,1.8307692307692307
-740,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,932,99,18,"['scikit-learn', 'machine-learning', 'common-sense']",Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2022-12-05,2022-11-02,2019-01-21,202,4.607344632768362
-271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,931,242,32,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2022-12-03,2022-10-26,2018-08-24,223,4.161558109833972
-820,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,925,201,21,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2022-12-04,2022-08-03,2018-09-21,219,4.21001300390117
-236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,913,189,44,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2022-12-05,2022-05-09,2020-07-02,126,7.197072072072072
-88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,908,179,28,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2022-12-01,2022-11-27,2017-11-01,266,3.4135338345864663
-379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,907,80,16,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2022-12-06,2022-11-17,2020-05-27,132,6.871212121212121
-541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,905,136,8,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2022-12-03,2022-10-29,2019-01-02,205,4.414634146341464
-212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,901,66,24,"['rust', 'python', 'database', 'sql', 'dataframe']",Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2022-12-06,2022-12-05,2021-01-13,99,9.1010101010101
-251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,900,84,27,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2022-12-05,2022-12-02,2020-06-15,129,6.961325966850829
-622,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,890,67,23,[],Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2022-12-06,2022-11-06,2014-04-04,452,1.96591984853266
-387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,889,145,17,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2022-12-06,2022-07-08,2014-06-18,442,2.01131221719457
-504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,888,164,36,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2022-12-06,2022-12-02,2018-12-16,207,4.2809917355371905
-672,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,883,20,83,[],,,faster-cpython: How to make CPython faster.,markshannon,2022-12-06,2020-10-28,2020-10-19,111,7.934531450577664
-630,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,880,255,32,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2022-12-07,2022-12-06,2016-02-09,356,2.4709185720016045
-402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,878,40,14,"['python', 'async', 'asyncio', 'trio', 'anyio']",Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2022-12-05,2022-11-14,2022-01-04,48,18.237388724035608
-750,data,https://github.com/pytorch/data,,,,pytorch/data,data,865,100,26,[],Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2022-12-06,2022-12-06,2021-05-12,82,10.548780487804878
-219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,865,85,6,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2022-12-06,2022-05-18,2020-04-15,138,6.268115942028985
-341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,863,67,24,"['terminal', 'curses', 'cli']",Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2022-11-30,2022-09-27,2014-03-01,457,1.8860443334374024
-392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,854,92,31,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2022-12-07,2022-09-27,2019-05-29,184,4.641304347826087
-204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,848,29,16,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2022-12-07,2022-12-05,2019-05-13,186,4.552147239263804
-700,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,847,135,28,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2022-12-04,2022-12-05,2018-08-07,226,3.7454200884396713
-347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,845,67,27,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2022-12-05,2022-11-08,2021-03-16,90,9.374009508716323
-628,data,https://github.com/intake/intake,,,,intake/intake,intake,841,125,41,"['python', 'data-access', 'data-catalog']",Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2022-12-05,2022-12-02,2017-08-14,277,3.032972694487378
-484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,833,225,59,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2022-12-06,2022-11-03,2015-05-22,393,2.115747460087083
-639,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,832,236,40,['hacktoberfest'],Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2022-12-05,2022-10-19,2017-06-15,285,2.9105447276361818
-697,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,830,249,24,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2022-12-06,2022-11-30,2014-12-02,418,1.984967543559959
-445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,824,188,30,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2022-12-06,2022-12-06,2014-12-29,414,1.9889655172413794
-887,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,816,436,77,[],Python,,pyscf: Python module for quantum chemistry,pyscf,2022-12-07,2022-11-29,2014-05-02,448,1.8185291308500477
-712,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,813,137,19,[],Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2022-12-07,2022-11-05,2021-05-12,82,9.914634146341463
-468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,808,98,35,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2022-12-06,2022-12-06,2021-07-20,72,11.2
-772,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,796,68,13,"['few-shot-learning', 'nlp', 'sentence-transformers']",Python,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2022-12-07,2022-12-07,2022-06-30,22,34.825
-850,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,792,95,22,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2022-12-01,2022-12-06,2012-02-20,563,1.406036013187928
-395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,792,63,29,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",Python,,emmett: The web framework for inventors,emmett-framework,2022-12-05,2022-11-24,2014-10-20,424,1.8666666666666667
-490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,783,149,47,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2022-12-01,2022-11-14,2010-01-31,670,1.1679096526741957
-226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,783,80,38,[],Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2022-12-06,2022-12-02,2020-11-02,109,7.1647058823529415
-738,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,765,9,3,"['python', 'pointers', 'python-pointers']",Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2022-12-01,2022-11-30,2022-03-09,39,19.615384615384617
-810,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,757,167,99,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2022-11-29,2022-12-06,2015-05-05,396,1.9109267940858277
-351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,754,37,21,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2022-12-03,2022-12-06,2021-08-11,69,10.927536231884059
-334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,748,50,28,"['python', 'monkey-patching']",Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2022-12-06,2022-03-12,2013-04-03,505,1.4811881188118812
-146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,747,224,38,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2022-12-05,2022-12-01,2013-02-11,512,1.458170663692136
-658,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,747,83,13,"['python', 'magic-extension', 'jupyter', 'ipython']",Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2022-12-06,2022-09-13,2014-07-30,436,1.713302752293578
-634,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,734,41,13,"['profiling', 'python', 'heatmap', 'matplotlib']",Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2022-11-30,2021-09-18,2017-02-04,304,2.4099437148217637
-791,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,729,179,21,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2022-12-06,2022-12-05,2013-10-02,479,1.5219206680584552
-853,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,727,158,33,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2022-12-05,2022-11-25,2017-05-14,290,2.5031972454500737
-900,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,721,101,12,"['machine-learning', 'automl', 'regression', 'classification']",Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2022-12-07,2022-09-28,2019-11-16,159,4.518352730528201
-891,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,715,9,5,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2022-12-07,2022-12-06,2022-10-07,8,82.04918032786885
-291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,713,35,21,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",Python,https://hamilton-docs.gitbook.io/docs/,"hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc.",stitchfix,2022-12-07,2022-12-04,2020-05-26,132,5.395675675675676
-358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,711,39,42,"['data-documentation', 'data-catalog', 'data-discovery']",Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2022-11-21,2022-10-13,2020-05-27,132,5.386363636363637
-621,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,708,94,18,[],Python,,Parameterized testing with any Python test framework,wolever,2022-11-29,2021-01-09,2012-03-10,560,1.2629969418960245
-419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,706,40,14,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2022-12-02,2022-09-01,2012-05-03,552,1.2770025839793282
-559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,706,56,14,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.,vizzuhq,2022-12-06,2022-12-06,2022-01-05,48,14.708333333333334
-23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,702,148,39,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2022-12-06,2022-11-07,2011-12-07,574,1.2229965156794425
-593,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,701,395,60,"['gis', 'maps', 'plots']",Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2022-11-23,2022-11-29,2011-02-19,615,1.1387792991413321
-701,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,690,20,8,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2022-12-03,2022-12-05,2020-06-18,128,5.3547671840354765
-325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,686,39,19,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2022-12-03,2022-12-01,2021-09-02,65,10.41648590021692
-168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,685,94,35,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2022-12-06,2021-02-01,2016-06-23,336,2.0335029686174724
-477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,682,77,23,"['holoviz', 'holoviews', 'plotting', 'datashader']",Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2022-12-04,2022-12-01,2018-03-19,246,2.769141531322506
-360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,682,142,47,[],Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2022-12-06,2022-12-06,2018-07-02,231,2.948733786287832
-572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,681,155,125,[],Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2022-12-07,2018-07-30,2014-08-01,435,1.5629508196721311
-393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,670,78,28,"['benchmark', 'python-frameworks']",Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2022-12-07,2022-03-14,2015-04-30,396,1.6882649388048956
-164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,661,50,25,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2022-12-07,2022-05-27,2019-01-31,200,3.290896159317212
-483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,654,211,49,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2022-12-02,2022-10-06,2017-05-17,290,2.2551724137931033
-818,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,644,44,16,[],Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2022-12-06,2022-11-17,2022-07-01,22,28.352201257861637
-882,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,638,58,13,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2022-12-07,2022-11-15,2019-11-26,158,4.034327009936766
-629,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,638,73,25,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2022-12-06,2022-06-22,2020-02-08,147,4.3233301064859635
-475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,635,114,35,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2022-12-06,2022-12-07,2017-09-22,271,2.337013669821241
-620,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,634,36,6,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2022-12-04,2022-11-21,2020-07-11,125,5.048919226393629
-637,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,627,31,8,"['python-devtools', 'python', 'devtools']",Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2022-12-06,2022-11-28,2017-08-20,276,2.268217054263566
-344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,625,63,17,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2022-12-05,2022-12-06,2019-08-14,173,3.61271676300578
-640,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,623,161,18,['hacktoberfest'],Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2022-12-02,2022-12-05,2015-11-06,369,1.6850850077279753
-397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,621,25,31,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2022-10-28,2022-08-12,2015-02-03,409,1.5178072625698324
-849,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,615,207,21,['hacktoberfest'],Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2022-12-06,2022-12-06,2016-03-16,351,1.7521367521367521
-741,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,612,51,13,"['scikit-learn', 'machine-learning', 'benchmark']",Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2022-12-02,2021-10-05,2020-07-11,125,4.873720136518771
-760,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,611,186,54,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2022-11-23,2021-10-14,2019-02-28,196,3.1037735849056602
-18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,605,102,17,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2022-12-07,2022-08-23,2020-06-23,128,4.7212931995540695
-839,util,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,604,55,21,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2022-12-07,2022-11-29,2021-09-14,64,9.416481069042316
-595,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,593,112,34,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2022-12-02,2022-11-24,2018-06-12,234,2.5326418547895058
-680,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,583,76,16,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2022-12-07,2022-09-12,2015-11-25,367,1.5885558583106267
-796,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,577,109,13,"['network-visualization', 'python', 'networkx']",HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2022-12-05,2022-11-04,2018-05-10,238,2.41566985645933
-117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,573,93,37,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2022-11-27,2021-01-31,2019-03-25,193,2.964523281596452
-505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,571,130,29,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2022-12-04,2022-06-13,2019-04-30,188,3.034927866362946
-831,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,568,81,16,"['attrs', 'deserialization', 'serialization']",Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2022-12-06,2022-11-30,2016-08-28,327,1.7347294938917976
-828,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,561,71,9,[],Python,https://gymnasium.farama.org,Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym),farama-foundation,2022-12-07,2022-12-05,2022-09-08,12,43.63333333333333
-690,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,560,150,16,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2022-12-07,2022-12-02,2017-03-15,299,1.8729096989966556
-889,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,559,208,47,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2022-12-07,2022-12-06,2019-05-17,185,3.01
-167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,556,153,49,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2022-12-05,2022-08-10,2017-09-30,270,2.054910242872228
-752,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,553,43,13,[],Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2022-12-05,2022-10-30,2022-09-04,13,41.180851063829785
-808,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,552,47,9,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate', 'hacktoberfest']",Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2022-12-07,2022-11-04,2020-10-05,113,4.872635561160151
-567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,550,107,32,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2022-11-25,2022-05-24,2014-09-28,427,1.286764705882353
-259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,548,132,48,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2022-12-06,2022-11-26,2018-01-23,254,2.1562675660483417
-235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,534,103,17,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2022-12-07,2022-07-08,2021-08-16,68,7.820083682008368
-874,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,528,332,32,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",Python,https://ipython.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2022-12-02,2022-12-06,2015-04-09,399,1.3204715969989282
-516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,521,60,15,[],Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2022-12-06,2022-08-18,2022-03-03,39,13.07168458781362
-625,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,520,258,44,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2022-12-01,2022-12-05,2012-08-06,539,0.9642384105960264
-160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,519,63,10,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2022-12-07,2021-02-11,2017-06-11,286,1.8119700748129677
-665,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,518,148,36,[],Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2022-11-30,2020-05-01,2020-01-20,150,3.446768060836502
-576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,517,225,21,[],Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2022-12-06,2022-12-02,2018-04-23,241,2.142687981053878
-525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,514,123,30,[],Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2022-12-03,2022-11-04,2011-06-19,598,0.8589162091191215
-685,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,514,38,23,[],Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2022-12-06,2022-11-04,2021-06-28,75,6.827324478178368
-883,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,510,92,16,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2022-12-01,2022-08-16,2020-02-15,146,3.47953216374269
-306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,509,140,30,[],Python,,panoramix: Ethereum decompiler,palkeo,2022-12-05,2020-08-22,2020-02-17,146,3.4794921875
-589,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,506,83,9,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2022-12-04,2022-11-18,2019-05-09,186,2.7079510703363914
-413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,503,85,17,[],Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2022-12-07,2022-09-27,2013-08-27,484,1.0389495426379463
-359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,500,113,27,[],C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2022-12-07,2022-12-07,2019-01-15,203,2.461322081575246
-671,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,488,26,26,[],Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2022-12-06,2022-08-09,2022-06-03,26,18.267379679144383
-241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,486,57,17,[],Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2022-12-03,2022-03-27,2021-07-10,73,6.6058252427184465
-797,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,482,52,12,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2022-12-04,2022-12-01,2022-04-29,31,15.198198198198199
-794,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,477,194,23,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2022-12-06,2022-11-11,2018-09-28,218,2.1809274983670806
-216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,476,61,9,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2022-12-04,2022-12-01,2020-01-13,151,3.1463644948064213
-47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,468,84,15,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2022-12-07,2022-11-03,2017-06-06,287,1.6298507462686567
-487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,467,60,21,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2022-12-05,2022-11-30,2018-04-25,241,1.937759336099585
-673,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,465,9,8,[],Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2022-12-06,2022-12-02,2022-06-01,27,17.22222222222222
-211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,462,88,21,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2022-12-04,2021-12-18,2020-01-28,149,3.0977011494252875
-329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,457,61,17,[],Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2022-11-19,2022-07-26,2021-10-21,58,7.764563106796117
-497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,445,86,13,[],Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2022-12-07,2020-12-10,2019-05-22,185,2.4054054054054053
-437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,datatile,443,40,13,"['pandas', 'pandas-summary', 'dataframes', 'data-analysis', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-summary', 'data-reporting', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-monitoring', 'data-quality-checks']",Python,,"datatile: A library for managing, validating, summarizing, and visualizing data",polyaxon,2022-11-24,2022-11-09,2016-03-25,349,1.2667483660130718
-479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,441,69,30,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2022-11-18,2022-11-18,2016-04-19,346,1.2740404457284358
-375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,440,52,11,[],Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2022-11-29,2021-11-06,2019-07-25,175,2.502030869212023
-742,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,435,49,13,"['nlp', 'embeddings', 'visualisations']",Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2022-12-04,2022-07-28,2020-02-22,145,2.988223748773307
-573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,434,113,50,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2022-11-19,2020-11-19,2018-01-10,256,1.6953125
-837,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,434,108,33,[],Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2022-12-07,2022-10-18,2013-09-18,481,0.9022869022869023
-844,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,432,41,9,"['multiprocessing-library', 'python']",Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2022-11-25,2022-09-15,2015-12-25,362,1.1910200866482867
-872,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,431,12,6,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2022-12-05,2022-12-07,2022-04-25,32,13.349557522123893
-582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,430,98,18,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2022-12-07,2022-12-05,2019-06-28,179,2.39268680445151
-863,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,430,77,43,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2022-11-29,2022-12-06,2018-01-15,255,1.6843872411863459
-481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,419,124,78,[],Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2022-12-03,2020-05-11,2013-08-15,485,0.8623934137018524
-292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,419,44,8,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2022-12-07,2022-09-27,2020-11-21,106,3.9316353887399464
-188,math,https://github.com/dit/dit,,,,dit/dit,dit,415,77,24,"['python', 'information-theory']",Python,http://docs.dit.io,dit: Python package for information theory.,dit,2022-12-01,2022-07-25,2013-09-29,479,0.8656138259833135
-486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,409,149,22,"['spatial-data', 'raster', 'vector', 'python', 'education']",Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2022-11-27,2021-12-20,2018-02-20,250,1.6350656767561393
-705,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,407,19,9,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2022-12-06,2022-07-04,2020-11-17,107,3.7986666666666666
-472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,403,25,11,[],Python,,google-research/byt5,google-research,2022-12-05,2022-03-02,2021-05-26,80,5.0375
-275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,391,61,16,[],Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2022-12-05,2022-12-01,2021-06-28,75,5.193548387096774
-577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,391,51,10,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2022-11-23,2022-09-17,2015-04-09,399,0.9778492318685245
-722,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,387,45,10,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2022-12-05,2022-11-15,2013-10-16,477,0.8113207547169812
-528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,386,79,27,"['multimodality', 'machine-learning', 'knowledge-base-construction']",Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2022-12-05,2021-06-23,2018-02-02,252,1.5274166195590728
-841,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,380,17,6,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2022-12-06,2022-11-18,2022-10-22,6,57.82608695652174
-12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,378,146,53,"['python', 'machine-learning', 'dialogflow']",Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2022-12-07,2022-11-26,2017-10-24,267,1.4149732620320856
-254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,374,84,18,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2022-12-06,2022-12-03,2020-08-12,121,3.090909090909091
-331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,369,19,8,"['recommender-system', 'machine-learning', 'qa-automation']",Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2022-12-03,2022-11-03,2021-11-08,56,6.555837563451776
-561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,366,66,14,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2022-11-22,2022-11-30,2016-09-08,325,1.1231915826391934
-803,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,363,275,14,[],Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2022-12-06,2022-12-06,2019-11-08,160,2.2586666666666666
-492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,362,84,65,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2022-12-05,2022-11-28,2017-10-06,269,1.3421610169491525
-185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,361,49,9,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2022-11-25,2022-10-07,2020-08-17,120,3.001187648456057
-49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,358,57,11,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository']",Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2022-12-03,2022-12-06,2015-08-03,383,0.9340290719344018
-522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,358,37,15,[],Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2022-12-04,2022-08-25,2019-06-10,182,1.963949843260188
-496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,354,22,6,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2022-11-29,2022-11-29,2022-01-24,45,7.817034700315458
-499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,354,69,20,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2022-11-30,2021-07-26,2020-07-10,125,2.815909090909091
-519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,354,47,13,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2022-11-28,2022-10-14,2016-03-28,349,1.0134969325153373
-756,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,344,27,4,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2022-12-07,2022-10-12,2022-09-13,12,28.32941176470588
-692,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,343,51,13,[],Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2022-11-30,2021-06-23,2019-06-27,179,1.9070691024622717
-586,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,341,46,16,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2022-12-06,2022-10-17,2018-03-30,244,1.3934617629889083
-340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,337,30,9,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2022-12-06,2020-09-06,2017-06-03,287,1.1718827620466965
-563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,336,32,23,[],Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2022-12-06,2022-08-28,2020-02-13,146,2.2879377431906613
-335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,336,99,12,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2022-12-06,2022-07-16,2021-11-14,55,6.061855670103093
-158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,335,34,15,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2022-12-03,2022-11-29,2020-02-26,145,2.310344827586207
-848,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,334,62,117,"['satellite', 'pxm', 'imagery']",Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2022-12-02,2021-10-22,2014-02-12,460,0.7260869565217392
-560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,333,56,12,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2022-12-06,2022-11-29,2019-04-16,190,1.7513148009015778
-464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,331,45,9,[],Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2022-11-17,2022-07-09,2018-04-15,242,1.365350618738951
-684,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,330,116,16,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2022-12-01,2022-10-20,2013-01-05,517,0.6375931548440519
-237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,328,57,12,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU,salesforce,2022-12-06,2022-12-02,2021-08-25,67,4.895522388059701
-664,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,326,177,18,[],Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2022-12-06,2020-12-03,2020-08-06,121,2.675263774912075
-786,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,326,22,6,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2022-12-05,2022-11-27,2021-11-18,54,5.942708333333333
-747,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,324,75,13,[],Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2022-12-04,2022-09-20,2021-08-17,68,4.754716981132075
-364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,324,146,40,[],Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2022-11-24,2021-08-26,2018-09-03,222,1.4575835475578407
-745,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,322,75,12,"['python', 'wrapper', 'blosc', 'compression']",C,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2022-11-30,2022-11-10,2010-09-30,635,0.5064030554931476
-719,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,319,120,15,[],JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2022-12-01,2022-12-02,2018-03-07,248,1.2862903225806452
-594,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,313,257,31,[],Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2022-12-07,2022-12-03,2012-01-13,568,0.5503642300929414
-510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,307,49,16,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",Python,,"keras_cv_attention_models: Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,gcvit,ghostnetv2,gmlp,halonet,hornet,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2022-12-07,2022-12-04,2021-08-02,70,4.367886178861789
-473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,306,31,7,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2022-11-30,2022-10-05,2022-02-10,42,7.14
-500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,300,137,18,[],Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2022-12-03,2022-11-21,2020-11-18,107,2.803738317757009
-430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,295,35,11,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2022-11-11,2022-07-18,2018-08-14,225,1.3102791878172588
-788,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,288,89,6,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2022-12-01,2021-01-15,2020-04-12,138,2.0804953560371517
-574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,277,84,50,[],Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2022-10-26,2021-02-16,2017-05-02,292,0.9481662591687041
-524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,276,91,11,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2022-12-01,2022-10-29,2016-06-25,336,0.8200339558573854
-884,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,274,54,15,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",Jupyter Notebook,http://pastas.readthedocs.io/,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2022-11-22,2022-08-02,2016-04-15,346,0.7902760609806345
-827,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorch,271,14,7,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",Python,https://kanchanchy.github.io/geotorch/,GeoTorch: A Spatiotemporal Deep Learning Framework,datasystemslab,2022-12-04,2022-11-27,2022-05-23,28,9.580808080808081
-727,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,271,14,18,[],JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2022-12-06,2022-11-06,2021-07-27,71,3.8092369477911645
-123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,269,37,7,[],Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2022-12-05,2022-12-05,2013-03-05,509,0.5283389450056116
-852,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,264,11,6,[],Python,,hstream: Hyper Stream,conradbez,2022-12-02,2022-11-24,2022-11-03,4,54.35294117647059
-307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,263,141,19,"['ethereum', 'python', 'utility-library']",Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2022-12-03,2022-11-17,2017-02-07,304,0.864725223109441
-385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,262,35,7,[],Python,,contractions: Fixes contractions such as `you're` to you `are`,kootenpv,2022-12-02,2022-11-15,2016-12-25,310,0.8439944776806259
-342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,262,19,4,['python'],Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2022-11-28,2022-12-01,2017-09-22,271,0.964248159831756
-210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,261,23,5,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2022-12-03,2021-05-28,2021-05-27,79,3.268336314847943
-508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,257,58,14,[],JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2022-11-23,2022-12-02,2019-08-19,172,1.4917081260364842
-303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,256,27,8,[],Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2022-11-05,2022-01-04,2021-08-27,66,3.8372591006423984
-418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,254,17,6,['pandas'],Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2022-12-04,2022-04-17,2018-01-25,253,1.0005627462014632
-693,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,251,27,13,[],Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2022-12-06,2022-03-09,2018-12-07,208,1.2026009582477755
-670,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,251,78,26,[],C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2022-12-02,2022-10-19,2015-03-14,403,0.6219469026548673
-374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,249,63,11,[],Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2022-11-15,2019-02-09,2017-12-08,260,0.955068493150685
-587,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,249,4,14,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2022-12-07,2022-11-17,2022-02-11,42,5.829431438127091
-248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,247,19,9,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2022-10-23,2019-11-13,2016-09-07,326,0.7576687116564417
-300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,244,45,7,[],Python,,openai/grade-school-math,openai,2022-12-06,2021-11-19,2021-10-20,59,4.135593220338983
-454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,243,59,16,[],Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2022-12-06,2022-06-19,2013-12-06,469,0.5173357664233577
-480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,243,20,21,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2022-12-05,2022-11-22,2019-10-28,162,1.4973591549295775
-714,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,242,38,4,"['machine-learning', 'mlops', 'hacktoberfest']",Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2022-12-06,2022-11-29,2021-11-17,55,4.4
-276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,239,59,13,[],Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2022-12-05,2022-12-05,2021-07-26,71,3.352705410821643
-277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,237,47,30,[],Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2022-10-16,2022-05-09,2017-02-22,302,0.7847682119205298
-864,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,236,86,44,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2022-11-29,2022-12-06,2020-01-22,150,1.5733333333333333
-657,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,234,46,10,[],Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2022-12-06,2022-12-01,2018-11-26,210,1.1127717391304348
-870,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,232,37,23,[],Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2022-12-06,2022-10-26,2019-11-27,158,1.4683544303797469
-588,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,231,27,8,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2022-12-01,2022-05-02,2020-03-17,142,1.6251256281407036
-229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,231,23,10,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2022-11-29,2022-09-13,2020-06-15,129,1.7867403314917127
-515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,230,110,14,"['data-science', 'machine-learning', 'datasets', 'python']",Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2022-12-03,2022-11-01,2020-09-17,115,1.9852034525277436
-83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,219,43,12,[],Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2022-11-28,2022-11-26,2017-09-17,272,0.8038804404824331
-274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,213,49,23,[],Python,http://amzn.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2022-12-06,2022-08-19,2016-04-07,347,0.6123203285420945
-737,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,213,31,9,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2022-12-06,2022-12-05,2022-05-04,31,6.870967741935484
-491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,212,30,44,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2022-11-16,2022-10-26,2018-03-09,247,0.8558246828143022
-249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,203,77,13,[],Python,,bilhim/trafficsimulator,bilhim,2022-12-07,2021-09-07,2021-09-05,65,3.1026200873362444
-888,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,199,25,5,"['python', 'roadmap', 'tutorial']",Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2022-12-06,2022-11-29,2022-11-03,4,40.970588235294116
-243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,197,41,5,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2022-12-03,2022-09-07,2020-12-09,104,1.8942307692307692
-240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,197,32,9,[],Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2022-12-04,2021-11-11,2020-12-11,103,1.899449035812672
-865,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,195,26,13,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",Python,https://docs.astronomer.io/learn/astro-python-sdk-etl,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2022-12-06,2022-12-07,2021-12-06,52,3.7295081967213113
-836,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,194,57,14,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2022-12-05,2022-11-18,2013-01-06,517,0.3749309773605743
-733,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,194,48,6,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2022-12-02,2022-11-05,2020-04-01,140,1.3857142857142857
-859,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,193,142,26,[],Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2022-12-01,2022-12-06,2015-04-09,399,0.4826723829939264
-456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,186,23,4,"['machine-learning', 'python', 'addresses-parsing']",Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2022-12-06,2022-12-01,2020-07-01,127,1.4645669291338583
-337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,183,24,5,[],C,,mrabarnett/mrab-regex,mrabarnett,2022-12-06,2022-10-31,2020-11-02,109,1.6745098039215687
-446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,182,30,13,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2022-11-27,2022-11-21,2019-03-01,196,0.925199709513435
-207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,178,41,12,[],Python,,aws/aws-lambda-python-runtime-interface-client,aws,2022-12-01,2022-08-16,2020-09-02,118,1.5084745762711864
-520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,177,50,11,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2022-12-06,2021-07-08,2020-05-26,132,1.3394594594594595
-585,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,175,28,17,[],Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2022-12-06,2022-10-24,2018-09-19,220,0.7954545454545454
-731,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,174,17,8,[],Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2022-11-25,2021-04-05,2021-03-29,88,1.970873786407767
-467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,173,13,4,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2022-12-05,2022-12-05,2020-12-06,104,1.6566347469220246
-33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,171,71,13,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",Python,,address-net: A package to structure Australian addresses,jasonrig,2022-12-01,2020-09-09,2018-12-05,209,0.8181818181818182
-266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,170,29,8,[],Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2022-12-06,2022-11-18,2020-12-10,103,1.6368638239339752
-461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,164,22,7,[],Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2022-12-06,2022-09-17,2021-11-26,53,3.0531914893617023
-339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,160,17,9,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2022-11-30,2021-11-15,2021-10-26,58,2.751842751842752
-899,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,160,13,11,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2022-12-07,2021-01-18,2017-11-12,264,0.605078336034576
-743,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,157,133,7,[],Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2022-12-07,2021-10-21,2020-03-01,144,1.0870425321463897
-819,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,155,22,5,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2022-12-05,2022-11-03,2022-06-27,23,6.656441717791411
-890,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,152,0,9,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2022-12-05,2022-11-28,2022-11-28,1,118.22222222222223
-775,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,143,86,42,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2022-10-29,2022-09-14,2014-06-18,442,0.3235294117647059
-415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,141,31,12,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2022-11-09,2022-10-31,2021-07-05,74,1.898076923076923
-606,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,140,14,11,[],Python,,pyscript-cli: A CLI for PyScript,pyscript,2022-11-17,2022-12-05,2022-05-01,31,4.454545454545454
-869,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,137,25,4,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2022-12-06,2022-12-03,2018-09-22,219,0.623942745608328
-231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,134,27,3,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2022-12-03,2022-06-10,2020-07-06,126,1.0610859728506787
-147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,132,33,9,"['markov-clustering', 'clustering', 'python', 'networks']",Python,,markov_clustering: markov clustering in python,guyallard,2022-11-15,2018-12-11,2017-09-27,271,0.4870848708487085
-774,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,131,72,24,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2022-12-06,2022-12-01,2013-12-29,466,0.28085758039816233
-826,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,129,10,4,[],Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2022-12-06,2022-12-07,2022-10-31,5,24.405405405405407
-564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,129,8,8,[],Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2022-11-30,2022-11-14,2020-03-27,140,0.916751269035533
-785,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,126,7,3,[],TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2022-11-29,2022-05-13,2020-11-28,105,1.1935047361299054
-290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,124,35,4,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2022-11-28,2022-07-02,2020-06-21,128,0.9655172413793104
-305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,121,3,3,[],Python,,pytrait: Traits for Python3,xrudelis,2022-11-15,2021-11-27,2021-11-21,54,2.2230971128608923
-583,web,https://github.com/developmentseed/fastai-serving,,,,developmentseed/fastai-serving,fastai-serving,121,11,8,"['machine-learning', 'python', 'deep-learning', 'pytorch', 'docker']",Python,,"fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving",developmentseed,2022-04-08,2020-02-10,2019-07-01,179,0.6749003984063745
-555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,118,30,0,[],,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2022-12-01,2021-12-10,2022-01-09,47,2.4879518072289155
-316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,117,13,3,[],C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2022-11-22,2022-11-15,2019-06-30,179,0.6520700636942676
-571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,113,27,11,"['geojson', 'pydantic', 'geojson-spec']",Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2022-11-29,2022-11-02,2020-05-21,132,0.8505376344086022
-901,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,111,19,7,[],Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2022-12-07,2022-12-01,2022-09-12,12,9.034883720930232
-893,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,109,45,9,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2022-12-02,2020-03-20,2019-04-23,189,0.5762839879154078
-407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,108,23,12,"['python', 'apache-beam', 'weather']",Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2022-12-07,2022-12-06,2021-11-22,54,1.9894736842105263
-466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,105,7,3,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2022-11-08,2022-04-18,2021-12-29,49,2.142857142857143
-463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,102,6,3,[],Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2022-12-06,2022-11-20,2022-02-18,41,2.4452054794520546
-527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,98,14,20,[],Python,,hazyresearch/domino,hazyresearch,2022-12-07,2022-08-02,2021-11-29,53,1.839142091152815
-847,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,97,11,4,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2022-12-04,2022-11-01,2022-07-11,21,4.557046979865772
-529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,96,23,18,[],Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2022-12-01,2020-05-27,2018-03-23,245,0.39069767441860465
-533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,96,23,9,[],Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2022-12-06,2022-07-21,2021-08-30,66,1.4482758620689655
-781,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,95,20,4,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2022-11-07,2022-08-23,2016-12-01,313,0.3026854802002731
-457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,94,22,6,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2022-12-06,2022-11-04,2021-09-27,62,1.5091743119266054
-558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,36,10,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2022-06-08,2016-08-12,329,0.2820623916811092
-534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,90,9,1,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2022-09-11,2022-11-06,2022-02-28,40,2.234042553191489
-835,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,88,7,3,[],Python,,jellezijlstra/autotyping,jellezijlstra,2022-12-06,2022-10-13,2021-06-25,75,1.1622641509433962
-744,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,88,19,4,[],Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2022-11-21,2022-11-23,2020-12-02,105,0.8380952380952381
-667,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,88,13,7,[],Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2022-12-06,2022-11-10,2022-03-23,37,2.3783783783783785
-485,gis,https://github.com/scisco/area,,,,scisco/area,area,86,19,3,[],Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-10-27,2018-10-31,2015-11-25,367,0.23433242506811988
-269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,83,6,3,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-11-26,2021-06-26,2016-05-17,342,0.24258872651356994
-562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,81,19,11,[],Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2022-12-06,2022-12-01,2021-05-21,80,1.0035398230088495
-746,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,81,10,3,"['parquet', 'parquet-tools', 'cli']",Python,,parquet-tools: easy install parquet-tools,ktrueda,2022-11-26,2022-06-14,2020-05-02,135,0.5974710221285564
-668,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,80,7,2,[],Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2022-11-10,2021-09-17,2021-05-18,81,0.9859154929577465
-842,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,79,4,1,"['jupyter', 'pandas', 'python']",Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2022-12-04,2022-12-01,2022-03-24,36,2.143410852713178
-769,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,78,14,3,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-04,2022-11-28,2019-02-05,200,0.3897216274089936
-327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,74,18,8,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2022-12-05,2022-12-05,2019-10-10,164,0.4488734835355286
-530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,72,13,14,[],Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2022-09-23,2020-02-02,2019-09-29,166,0.43261802575107294
-851,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,70,2,4,[],Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2022-11-28,2022-11-02,2022-10-22,6,10.652173913043478
-584,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,69,19,8,[],Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2022-11-30,2022-11-21,2019-05-14,186,0.37068303914044515
-234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,65,18,12,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2022-11-17,2022-04-01,2019-09-17,168,0.38657604078164826
-568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,62,4,2,[],Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-11-15,2021-03-05,2020-04-13,138,0.44834710743801653
-453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,61,25,9,[],Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2022-11-08,2022-11-29,2021-02-04,95,0.6363636363636364
-535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,57,1,3,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2022-11-26,2022-08-07,2022-01-20,45,1.2429906542056075
-854,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2022-09-22,2019-09-18,168,0.3273809523809524
-521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,54,14,4,[],Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2022-12-06,2020-09-03,2018-09-05,222,0.24324324324324326
-326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,50,89,10,"['snyk', 'python', 'api']",Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2022-11-04,2022-05-26,2019-02-03,200,0.2494654312188168
-816,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,50,5,6,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2022-12-04,2022-12-06,2022-10-14,7,6.481481481481482
-400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,46,8,3,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2022-11-11,2022-11-26,2020-06-20,128,0.35777777777777775
-401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,42,12,4,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2022-11-14,2022-10-30,2021-09-27,62,0.6743119266055045
-776,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,37,27,11,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2022-08-23,2021-11-19,2017-02-14,303,0.12205466540999058
-386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,35,5,1,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2022-10-19,2022-09-28,2020-11-19,106,0.32754010695187163
-202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,34,8,1,[],Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2022-12-06,2022-11-19,2021-03-13,90,0.3753943217665615
-821,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,33,2,3,[],Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2022-11-04,2022-11-22,2020-10-26,110,0.29922279792746115
-333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,3,3,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2022-11-16,2021-12-16,50,0.6292134831460674
-711,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,30,1,7,[],Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-10-27,2021-06-28,2019-10-24,162,0.18421052631578946
-502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2022-12-03,2021-05-21,80,0.34690265486725663
-894,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,26,9,9,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2022-12-01,2020-01-02,2016-03-22,350,0.07425540595675234
-688,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,3,1,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2022-11-26,2022-06-06,2022-03-22,37,0.6192307692307693
-37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,[],Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2022-11-02,2014-08-04,435,0.04824417459796521
-840,data,https://github.com/codait/pardata,,,,codait/pardata,pardata,18,5,11,"['dataset', 'python', 'machine-learning', 'artificial-intelligence', 'data-science']",Python,https://pardata.readthedocs.io/en/latest/,codait/pardata,codait,2022-08-14,2021-12-01,2020-11-17,107,0.168
-578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,17,4,0,[],Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2022-11-15,2022-01-30,2021-12-04,52,0.3233695652173913
-679,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2022-12-06,2021-01-21,97,0.1635036496350365
-669,gis,https://github.com/zorzi-s/maprepair,,,,zorzi-s/maprepair,MapRepair,16,4,2,[],Python,,MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images,zorzi-s,2022-12-06,2021-05-17,2020-07-30,122,0.13023255813953488
-892,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,11,3,5,[],Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2022-12-07,2022-12-07,2022-09-15,11,0.927710843373494
-702,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,[],Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-01-17,2022-01-25,2019-08-05,174,0.05737704918032787
-608,typing,https://github.com/tk0miya/docutils-stubs,,,,tk0miya/docutils-stubs,docutils-stubs,7,5,6,[],Python,,tk0miya/docutils-stubs,tk0miya,2022-01-02,2022-01-02,2018-11-02,213,0.032754010695187165
-180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,5,5,3,[],Python,,dynpy: Dynamical systems for Python,artemyk,2021-09-24,2018-09-28,2014-09-12,429,0.01163563829787234
-526,gis,https://github.com/lycantropos/wagyu,,,,lycantropos/wagyu,wagyu,3,2,1,[],Python,https://github.com/mapbox/wagyu,wagyu: Python port of mapbox/wagyu library (with separate C++ binding),lycantropos,2022-07-19,2020-11-21,2020-06-30,127,0.02359550561797753
-751,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,2,0,2,[],Python,,edomel/boundaryvt,edomel,2022-12-07,2022-09-29,2022-07-29,18,0.10687022900763359
-420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,"['python', 'template', 'jupyterlab', 'cookiecutter']",Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2022-08-19,2020-02-12,147,0.006802721088435374
+,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_topics,_language,_homepage,_description,_organization,_updated_at,_last_commit_date,_created_at,_age_weeks,_stars_per_week,_pop_contributor_count,_pop_contributor_orgs_len,_pop_contributor_orgs_max,_pop_contributor_orgs,_pop_contributor_orgs_error,_pop_commit_frequency,_pop_updated_issues_count,_pop_closed_issues_count,_pop_created_since_days,_pop_updated_since_days,_pop_recent_releases_count,_pop_recent_releases_estimated_tags,_pop_recent_releases_adjusted_count,_pop_issue_count,_pop_comment_count,_pop_comment_count_lookback_days,_pop_comment_frequency,_pop_dependents_count,_pop_score
+89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,169751,87558,7793,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2022-12-18,2022-12-18,2015-11-07,371,457.1977683724509,4198,2,5,"['google', 'googletensorflow']",,312.65,2393,1430,87,0,32,26,32,2393.0,6694.0,90.0,2.8,175460,92.79924
+405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,150017,38545,5937,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2022-12-18,2022-12-18,2016-07-16,335,447.43033659991477,973,4,5,"['christianclauss', 'fossasiagojekthealgorithms', 'thealgorithmsgojek', 'universitätpassau']",,6.31,1926,1831,78,0,0,0,0,1926.0,2356.0,90.0,1.2,3296,69.29599
+112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,76398,17261,866,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2022-12-18,2022-12-16,2018-10-29,216,353.69444444444446,1650,2,5,"['huggingface', 'stasosphereonline']",,56.79,2247,1896,50,0,24,28,24,2248.0,6558.0,90.0,2.9,10695,81.10986
+14,web,https://github.com/django/django,,,,django/django,django,67753,28322,2271,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2022-12-18,2022-12-17,2012-04-28,555,122.01466426550039,2842,1,5,['2xlibre.netsàrl'],,18.12,377,307,130,1,0,34,34,377.0,957.0,90.0,2.5,61720,79.49161
+57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,61341,15349,2146,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2022-12-18,2022-11-25,2010-04-06,662,92.54030172413793,800,2,5,"['getsentry', 'sentry']",,3.71,76,65,155,1,8,4,8,76.0,61.0,90.0,0.8,8741,65.14601
+76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,61054,17007,1624,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2022-12-18,2022-12-18,2016-08-13,331,184.29409228115568,3755,1,5,['facebookairesearch'],,216.04,8263,5684,77,0,5,120,5,8258.0,34479.0,90.0,4.2,961352,91.47611
+40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,56861,19228,1936,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2022-12-18,2022-12-16,2015-03-28,403,140.9943322706341,1133,2,5,"['google', 'sktelecom']",,20.58,486,353,94,0,13,9,13,486.0,894.0,90.0,1.8,3088,73.03711
+189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,56762,20995,1345,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2022-12-18,2022-12-18,2013-09-17,482,117.55443786982248,3475,2,5,"['home-assistant,nabucasa', 'home-assistanthassio-addons']",,241.85,7960,5914,113,0,173,111,173,7960.0,23769.0,90.0,3.0,3239,86.90949
+135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,52565,4303,603,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2022-12-18,2022-12-16,2018-12-08,210,249.9694293478261,401,0,5,[],,12.75,1366,887,49,0,25,35,25,1366.0,3158.0,90.0,2.3,4316,66.19022
+78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,52354,23790,2167,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2022-12-18,2022-12-16,2010-08-17,643,81.31306856001775,2806,4,5,"['inria', 'meta', 'microsoft', 'uliège']",,31.21,1080,710,150,0,6,10,6,1079.0,2656.0,90.0,2.5,36390,84.48729
+399,util,https://github.com/python/cpython,,,,python/cpython,cpython,49550,25219,1465,[],Python,https://www.python.org/,cpython: The Python programming language,python,2022-12-18,2022-12-18,2017-02-10,305,162.2310570626754,2294,4,5,"['fzjülich', 'keepertech', 'microsoft', 'redhatofficial']",,68.56,4833,3383,71,0,0,91,91,4833.0,11415.0,90.0,2.4,11228,86.25842
+177,web,https://github.com/psf/requests,,,,psf/requests,requests,48718,8929,1362,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2022-12-18,2022-11-21,2011-02-13,618,78.81349664894846,723,3,5,"['amazonwebservices', 'apple', 'tableau&salesforce']",,0.87,89,56,144,1,4,12,4,89.0,124.0,90.0,1.4,9183,64.97178
+80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,45399,9807,1789,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest']",Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2022-12-18,2022-12-15,2010-02-22,669,67.8609865470852,569,3,5,"['superfly', 'zytedata(formerlyscrapinghub)', 'zytedata,scrapinghub']",,4.71,259,190,156,0,8,9,8,260.0,538.0,90.0,2.1,1159,67.90526
+695,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,42994,12012,1502,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2022-12-18,2022-12-18,2017-12-19,260,164.8181818181818,94,0,5,[],,4.87,21,14,61,0,0,1,1,21.0,17.0,90.0,0.8,1192,46.15719
+179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,41137,1447,541,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2022-12-18,2022-12-04,2019-11-10,162,253.70837004405286,203,2,5,"['davep.org', 'textualize']",,13.44,197,147,38,0,17,45,17,197.0,392.0,90.0,2.0,3007,64.89991
+262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,37843,4466,963,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2022-12-18,2022-10-21,2018-12-24,208,181.9375,209,1,5,['paackeng'],,3.25,194,117,48,2,0,0,0,194.0,179.0,90.0,0.9,415,47.9617
+736,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,37519,5790,355,[],Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2022-12-18,2022-11-16,2022-08-10,18,2004.8320610687024,8,1,5,['runwayml'],,0.4,324,77,4,1,0,0,0,324.0,729.0,90.0,2.2,53,31.38278
+432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,36840,16265,1768,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2022-12-18,2018-11-30,2016-08-10,331,111.0594315245478,17,4,5,"['coiled', 'google', 'kvantify', 'quansight']",,0.0,19,11,77,49,0,0,0,19.0,17.0,90.0,0.9,172,32.72075
+59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,36289,15523,1119,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2022-12-18,2022-12-18,2010-08-24,642,56.449555555555555,3189,2,5,"['rapidsai', 'voltrondata']",,45.63,4619,3022,150,0,10,12,10,4619.0,5418.0,90.0,1.2,4975,80.23597
+694,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,36190,8167,1044,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2022-12-18,2022-10-31,2018-06-04,237,152.70042194092827,21,0,5,[],,0.19,63,12,55,2,0,0,0,63.0,53.0,90.0,0.8,333,33.57254
+64,util,https://github.com/psf/black,,,,psf/black,black,30470,1949,227,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2022-12-18,2022-12-18,2018-03-14,248,122.51005169442848,350,4,5,"['clc', 'facebook', 'psf', 'quora']",,5.35,295,176,58,0,7,9,7,299.0,585.0,90.0,2.0,28929,71.53459
+220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,29882,2655,380,"['python', 'shell']",Roff,,pyenv: Simple Python version management,pyenv,2022-12-18,2022-12-18,2012-08-31,537,55.60180754917597,402,1,5,['treasuredata'],,3.25,133,117,125,0,12,13,12,133.0,307.0,90.0,2.3,1883,64.0447
+55,sim,https://github.com/openai/gym,,,,openai/gym,gym,29439,8120,999,[],Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2022-12-18,2022-10-25,2016-04-27,346,84.90852904820767,384,0,5,[],,5.62,113,83,81,2,11,8,11,113.0,261.0,90.0,2.3,7204,59.53888
+118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,28488,11690,764,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2022-12-18,2022-12-18,2015-04-13,401,71.0423940149626,2662,5,5,"['apachesoftwarefoundation', 'astronomer', 'astronomer.io', 'preset-io', 'snowflakedb']",,70.71,2090,1667,94,0,17,337,17,2091.0,4975.0,90.0,2.4,13010,86.76876
+592,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27457,1675,350,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2022-12-18,2022-11-27,2020-02-02,150,182.87250237868696,123,2,5,"['daangn', 'luxeys']",,1.17,165,63,35,1,4,13,4,165.0,168.0,90.0,1.0,59,46.67377
+257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,26668,6520,930,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2022-12-18,2022-12-18,2017-05-14,292,91.2841075794621,709,1,5,['ccxt'],,235.92,1408,1047,68,0,0,142,142,1408.0,2198.0,90.0,1.6,37950,79.88869
+838,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,25507,4618,247,[],Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2022-12-18,2022-12-10,2022-08-22,17,1500.4117647058824,278,0,5,[],,42.46,3672,2189,4,0,0,0,0,3672.0,13755.0,90.0,3.7,863,55.59936
+677,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25464,5480,959,[],Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2022-12-18,2021-03-27,2017-10-05,271,93.76538663861126,40,2,5,"['facebook', 'ucberkeley']",,0.0,11,3,63,21,0,0,0,11.0,3.0,90.0,0.3,865,34.18342
+245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,25179,3809,373,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2022-12-18,2022-09-16,2021-03-19,91,275.3953125,11,2,5,"['huggingface', 'tencent']",,0.6,59,16,21,3,6,9,6,58.0,54.0,90.0,0.9,11,32.67355
+17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,24789,3988,549,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2022-12-18,2022-12-15,2014-07-03,441,56.13814299579424,710,2,5,"['explosion&oxykodit', 'founderexplosion']",,8.85,356,316,103,0,19,16,19,356.0,577.0,90.0,1.6,5776,71.78792
+501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,23709,11459,625,[],Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2022-12-18,2022-11-08,2019-01-08,205,115.17210270645386,75,0,5,[],,0.29,21,3,48,1,0,0,0,21.0,31.0,90.0,1.5,1115,39.80723
+163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,23582,1199,207,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2022-12-18,2022-09-03,2015-06-03,393,59.89622641509434,112,2,5,"['giga-consciousness-comasciencegroup-university&hospitalofliège', 'valence']",,0.52,69,11,92,4,5,20,5,69.0,82.0,90.0,1.2,6644,53.30922
+103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23555,8535,931,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2022-12-18,2022-12-17,2014-02-06,462,50.92186534898085,589,4,5,"['amazonai', 'cmu,octoml', 'els-rdlefebvresarrut', 'nvidia']",,9.9,464,372,108,0,9,5,9,464.0,840.0,90.0,1.8,1612,71.15114
+26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,23487,1353,380,"['python', 'cli']",Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2022-12-18,2022-12-12,2017-02-21,303,77.29619181946403,55,3,5,"['google', 'googlebrain', 'syracuseuniversity']",,0.37,48,26,71,0,1,2,1,48.0,43.0,90.0,0.9,114,46.38159
+678,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23127,6313,365,[],Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2022-12-18,2022-12-14,2019-09-05,171,134.79517069109076,227,1,5,['facebookairesearch'],,1.67,214,132,40,0,0,3,3,214.0,258.0,90.0,1.2,23330,60.12194
+646,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,22961,1857,184,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2022-12-18,2022-12-18,2018-02-28,250,91.58233618233618,417,0,5,[],,13.08,1180,864,58,0,13,25,13,1181.0,2846.0,90.0,2.4,2403,64.59742
+289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,22569,3759,292,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2022-12-18,2022-12-15,2019-02-02,202,111.56991525423729,89,3,5,"['huggingface', 'independent', 'weights&biases']",,6.46,111,72,47,0,10,10,10,111.0,146.0,90.0,1.3,159,55.28684
+689,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22507,11179,597,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2022-12-18,2019-03-31,2017-10-19,269,83.4917859035506,47,3,5,"['apple', 'freelance', 'grid.ai|pytorchlightning']",,0.0,89,18,63,46,0,1,1,89.0,107.0,90.0,1.2,1541,41.13975
+550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,22420,8168,362,"['object-detection', 'instance-segmentation', 'rpn', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch']",Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2022-12-18,2022-11-23,2018-08-22,225,99.32911392405063,377,5,5,"['cuhk,mmlab', 'mmlab,ntu', 'nuaa', 'open-mmlab', 'ucsd']",,5.21,876,652,53,1,16,11,16,873.0,1322.0,90.0,1.5,4620,69.61265
+54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22230,7600,571,"['numpy', 'python', 'closember']",Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2022-12-18,2022-12-18,2010-09-13,640,34.734375,1556,4,5,"['mercarijp', 'quansight,openteams', 'quansightlabs', 'retired']",,29.58,907,655,149,0,20,18,20,908.0,2325.0,90.0,2.6,27499,84.17272
+649,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,21936,4425,643,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2022-12-18,2022-11-12,2016-11-17,317,69.07422402159244,193,2,5,"['gojek', 'google']",,0.37,11,2,74,1,0,0,0,11.0,4.0,90.0,0.4,74,41.01387
+86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,21862,1957,284,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2022-12-18,2022-12-18,2019-08-24,173,126.16158285243199,160,2,5,"['independent', 'streamlit']",,12.52,1080,630,40,0,22,347,22,1080.0,1206.0,90.0,1.1,1546,64.16201
+183,ml,https://github.com/google/jax,,,,google/jax,jax,21230,1987,288,['jax'],Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2022-12-18,2022-12-17,2018-10-25,216,98.02770448548813,484,1,5,['google'],,50.02,1255,952,50,0,39,38,39,1254.0,1433.0,90.0,1.1,6513,71.26828
+252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,20989,2683,227,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",Python,https://lightning.ai,"lightning: Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.",pytorchlightning,2022-12-18,2022-12-18,2019-03-31,194,108.11111111111111,811,4,5,"['current:opentowork|previouslylightning-ai,episource', 'grid.ai|pytorchlightning', 'lightning-ai', 'lightningai']",,39.56,1617,1237,45,0,41,46,41,1616.0,2285.0,90.0,1.4,550,73.03704
+90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,20902,5485,1006,"['python', 'asynchronous']",Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2022-12-18,2022-12-17,2009-09-09,692,30.174056506496186,432,2,5,"['healthbyro', 'mongodb']",,1.42,39,24,162,0,0,5,5,39.0,62.0,90.0,1.6,879,59.61018
+8,perf,https://github.com/celery/celery,,,,celery/celery,celery,20658,4395,476,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2022-12-18,2022-12-15,2009-04-24,712,28.996591136956084,1255,2,5,"['celerypsfapache', 'robinhoodmarkets']",,5.23,297,166,166,0,8,17,8,297.0,543.0,90.0,1.8,6865,71.58273
+45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20331,2602,431,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",Python,,locust: Scalable load testing tool written in Python,locustio,2022-12-18,2022-12-16,2011-02-17,617,32.92088827203331,271,3,5,"['5m', 'heylab', 'redshirtconsultingab']",,9.37,96,83,144,0,26,9,26,96.0,201.0,90.0,2.1,596,66.39902
+75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,20311,5092,355,"['python', 'pytorch', 'artificial-intelligence']",Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2022-12-18,2022-12-17,2017-08-29,276,73.36274509803921,412,3,5,"['facebook', 'facebookairesearch', 'facebookresearch']",,3.77,277,114,65,0,3,3,3,277.0,248.0,90.0,0.9,81045,69.00771
+2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20194,6876,1088,['mxnet'],C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2022-12-18,2022-09-26,2015-04-30,398,50.66594982078853,980,5,5,"['amazon', 'cmu,octoml', 'facebook', 'mit', 'universityofwashington']",,2.65,95,14,93,3,5,6,5,95.0,53.0,90.0,0.6,1919,61.54047
+255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20137,4263,595,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2022-12-18,2022-12-18,2017-05-17,291,69.02987267384917,284,1,5,['freqtradecoredev;frizzleapps/whatsitwhatsit'],,69.62,530,502,68,0,17,13,17,530.0,1379.0,90.0,2.6,1085,68.40999
+607,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,19802,2265,730,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2022-12-18,2022-12-14,2017-03-01,302,65.41481831052383,44,1,5,['google'],,1.38,5,4,71,0,0,0,0,5.0,2.0,90.0,0.4,17,34.84385
+273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,19756,4148,494,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2022-12-18,2022-12-16,2019-06-13,183,107.62023346303502,21,1,5,['google'],,11.92,556,322,43,0,4,13,4,556.0,1433.0,90.0,2.6,111,50.70535
+409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,19528,2976,649,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2022-12-18,2022-12-15,2014-05-19,448,43.589285714285715,613,3,5,"['cto', 'google', 'voxraygames']",,7.4,227,156,104,0,9,4,9,227.0,576.0,90.0,2.5,3175,70.70299
+350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19328,4834,734,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2022-12-18,2022-12-17,2016-08-15,331,58.39274924471299,895,3,5,"['baidubdg/idl/dltp', 'paddlepaddle', 'tencent']",,110.33,4106,3158,77,0,7,11,7,4104.0,6254.0,90.0,1.5,19940,80.9565
+232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,18574,1762,236,"['python', 'cookiecutter']",Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2022-12-18,2022-09-09,2013-07-14,492,37.7410740203193,285,3,5,"['margaritahumanitarian', 'mozilla', 'octoenergy']",,3.08,50,10,115,3,2,3,2,50.0,43.0,90.0,0.9,611,53.64259
+789,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18518,13789,1456,[],Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2022-12-18,2022-11-03,2012-06-30,546,33.89801255230125,9,3,5,"['googlecloud', 'vndly', 'voltrondata']",,0.15,7,4,127,2,0,0,0,7.0,6.0,90.0,0.9,5,30.95404
+186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18466,2542,219,"['latex', 'deep-neural-networks']",TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2022-12-18,2020-11-06,2018-07-24,229,80.33685518955873,13,2,5,"['cesarbr', 'universityofoxford']",,0.0,4,1,54,26,0,0,0,4.0,5.0,90.0,1.2,35,25.78726
+187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18176,2729,259,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2022-12-18,2022-06-16,2016-11-22,316,57.36339044183949,205,3,5,"['microsoft', 'microsoftresearch', 'mila-iqia']",,2.31,187,27,74,6,1,8,1,187.0,160.0,90.0,0.9,439,50.16834
+61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,17833,1815,409,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",Python,https://plotly.com/dash,"dash: Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.",plotly,2022-12-18,2022-12-17,2015-04-10,401,44.423843416370104,132,1,5,['plotly'],,12.54,177,85,94,0,12,11,12,177.0,210.0,90.0,1.2,5155,62.42429
+763,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,17026,1811,181,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2022-12-18,2022-09-20,2021-07-19,74,230.0810810810811,11,3,5,"['huggingface', 'tencent', 'vk|hse']",,0.69,87,7,17,3,3,14,3,87.0,78.0,90.0,0.9,67,35.54132
+6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,17007,4012,451,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2022-12-18,2022-12-16,2012-03-26,560,30.369642857142857,624,1,5,['nvidia'],,8.15,405,275,131,0,0,10,10,405.0,824.0,90.0,2.0,1783,67.11479
+107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,16987,5385,503,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2022-12-18,2022-12-05,2016-03-21,352,48.25852272727273,102,2,5,"['idealworks', 'tiiuae']",,2.15,45,35,82,0,0,0,0,45.0,24.0,90.0,0.5,950,50.12303
+349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,16915,2000,183,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2022-12-18,2022-12-17,2020-02-13,148,113.85096153846153,161,2,5,"['jina-ai', 'jinaai']",,23.48,403,374,35,0,109,127,109,403.0,797.0,90.0,2.0,1437,65.50054
+30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16695,1484,414,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",Python,https://sanic.dev,sanic: Next generation Python web server/framework | Build fast. Run fast.,huge-success,2022-12-18,2022-12-18,2016-05-26,342,48.73436196830692,325,3,5,"['airbnb', 'packetfabric', 'pytorch']",,2.42,121,91,80,0,14,12,14,121.0,310.0,90.0,2.6,62,59.80018
+228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,16593,476,151,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2022-12-18,2022-12-18,2021-04-08,88,187.34032258064516,61,3,5,"['davep.org', 'lastmileict', 'textualize']",,50.9,650,542,21,0,13,10,13,650.0,957.0,90.0,1.5,26,55.84176
+48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16560,6641,587,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2022-12-18,2022-12-18,2011-02-19,617,26.82712335107614,1447,2,5,"['brookhavennationallab', 'microsoft']",,35.75,2020,1442,144,0,7,10,7,2020.0,2716.0,90.0,1.3,7290,76.87204
+31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,16541,2390,284,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2022-12-18,2022-11-18,2020-03-14,144,114.64059405940594,110,2,5,"['enveritas', 'jaidedai']",,1.0,86,31,34,0,5,7,5,86.0,125.0,90.0,1.5,122,49.49466
+373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16385,2991,246,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",Python,https://pytorch-geometric.readthedocs.io/,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2022-12-18,2022-12-17,2017-10-06,271,60.36578947368421,351,2,5,"['max-planckinstituteforinformatics,kumo.ai', 'uilab-githubsparcs-kaist']",,16.75,996,819,63,0,4,6,4,995.0,1179.0,90.0,1.2,47,59.25055
+102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16191,2352,486,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2022-12-18,2022-12-02,2012-09-20,534,30.28781400320684,596,3,5,"['google', 'houzz', 'modallabs']",,0.81,21,10,125,1,2,6,2,21.0,32.0,90.0,1.5,387,55.86213
+426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16168,7914,647,[],Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2022-12-18,2022-02-10,2017-09-05,275,58.61004660797514,6,0,5,[],,0.02,4,1,64,10,0,0,0,4.0,5.0,90.0,1.2,2,16.67302
+144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,15919,4021,584,['paper'],Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2022-12-18,2020-12-02,2019-02-11,201,79.19900497512438,16,1,5,['openai'],,0.0,5,1,47,25,0,0,0,5.0,3.0,90.0,0.6,365,27.02593
+109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15686,3660,906,"['python', 'crawler']",Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2022-12-18,2020-08-02,2014-02-21,460,34.06825938566553,62,0,5,[],,0.0,8,2,107,29,0,1,1,8.0,5.0,90.0,0.6,243,29.95225
+834,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,15625,6002,731,"['micropython', 'python', 'embedded', 'microcontroller']",C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2022-12-18,2022-12-16,2013-12-20,469,33.285149117468045,536,2,5,"['micropython', 'openmv']",,25.54,524,330,110,7,2,6,2,524.0,1537.0,90.0,2.9,17483,68.37545
+873,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15614,4403,775,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2022-12-17,2022-12-12,2010-05-10,658,23.72948328267477,925,4,5,"['amazonwebservices', 'google', 'quansight-labs', 'simularesearchlaboratory']",,5.67,183,91,154,0,0,12,12,183.0,194.0,90.0,1.1,14264,73.36514
+176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15499,932,234,"['python', 'debug', 'debugger', 'introspection', 'logging']",Python,,PySnooper: Never use print for debugging again,cool-rr,2022-12-18,2022-12-11,2019-04-18,191,80.90454884414616,27,2,5,"['japan', 'nvidia']",,0.12,3,1,45,0,0,5,5,3.0,5.0,90.0,1.7,10,37.32871
+493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15476,3828,598,[],Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2022-12-18,2022-11-16,2019-06-05,184,83.78344934261408,11,4,5,"['alibaba-inc&nanjinguniversity', 'irtsaint-exupéry', 'lightning-ai,universityofwisconsin-madison', 'microsoft']",,1.4,4,3,43,1,0,0,0,4.0,1.0,90.0,0.2,49,33.69158
+41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15305,2966,619,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2022-12-18,2022-12-18,2010-11-03,632,24.18943328065026,577,5,5,"['cornelluniversity', 'freelance', 'imc.com', 'meltingrocks', 'zencode']",,2.21,117,65,148,0,1,3,1,117.0,187.0,90.0,1.6,6614,67.36366
+469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15297,2357,306,[],Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2022-12-18,2022-11-11,2020-04-06,141,108.48936170212765,22,3,5,"['entrepreneur', 'occrp,the-markup', 'universityofhildesheim']",,0.02,58,15,33,1,0,1,1,58.0,174.0,90.0,3.0,0,34.2977
+328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,15287,1475,145,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",Go,https://trivy.dev,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2022-12-18,2022-12-18,2019-04-11,192,79.38353115727003,268,0,5,[],,15.67,547,334,45,0,35,28,35,547.0,947.0,90.0,1.7,2726,62.29143
+19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15280,4341,426,"['forecasting', 'r', 'python']",Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2022-12-18,2022-09-21,2016-11-16,317,48.093525179856115,158,1,5,['canva'],,0.88,88,26,74,3,2,2,2,88.0,95.0,90.0,1.1,1139,48.7755
+36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15170,1708,220,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",Python,http://faker.rtfd.org,Faker is a Python package that generates fake data for you.,joke2k,2022-12-17,2022-11-30,2012-11-12,527,28.785578747628083,489,4,5,"['mdxs', 'minted', 'sailoboats', 'selfemployed']",,5.06,76,51,123,1,55,26,55,76.0,136.0,90.0,1.8,6153,69.76525
+604,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15152,1110,180,"['python', 'html', 'javascript']",Python,https://community.anaconda.cloud/c/tech-topics/pyscript,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2022-12-18,2022-12-17,2022-02-21,43,352.3720930232558,95,1,5,['anaconda'],,12.27,497,367,10,0,4,5,4,497.0,1009.0,90.0,2.0,34,48.57364
+137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,14923,1942,260,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2022-12-18,2022-12-18,2020-03-26,142,104.67034068136273,474,2,5,"['huggingface', 'huggingfaceaiinnova']",,18.37,643,505,33,0,23,25,23,643.0,1331.0,90.0,2.1,2106,69.07616
+74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14361,2385,223,"['python', 'types', 'typing', 'typechecker', 'linter']",Python,http://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2022-12-18,2022-12-16,2012-12-07,523,27.43640829694323,618,3,5,"['edgedb', 'microsoft', 'openai']",,16.12,944,561,122,0,0,7,7,944.0,2100.0,90.0,2.2,21972,76.83813
+148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14185,2432,310,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2022-12-18,2021-03-02,2017-06-10,288,49.20465807730426,65,2,5,"['maximlevin', 'none']",,0.0,1,1,67,22,0,4,4,1.0,0.0,90.0,0.0,313,33.7623
+124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,13818,3231,430,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2022-12-18,2022-12-15,2017-09-07,275,50.143079315707624,264,2,5,"['microsoft', 'microsoftresearch']",,4.88,267,175,64,0,3,5,3,267.0,461.0,90.0,1.7,32190,66.79335
+104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,13801,4298,430,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2022-12-18,2022-12-17,2011-02-10,618,22.31108545034642,440,4,5,"['constructor.io,embedika', 'http://xavvy.com', 'profoundnetworks', 'rare-technologies']",,1.77,51,41,144,0,1,6,1,51.0,100.0,90.0,2.0,156,58.49225
+332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,13800,3635,539,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2022-12-18,2022-12-15,2017-09-08,275,50.10373443983403,147,1,5,['ziplineinternational'],,1.85,198,145,64,0,2,26,2,198.0,155.0,90.0,0.8,428,51.65048
+175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,13598,570,119,"['python', 'logging', 'logger', 'log']",Python,,loguru: Python logging made (stupidly) simple,delgan,2022-12-18,2022-12-02,2017-08-15,278,48.763319672131146,41,1,5,"['freelancer,upforhire']",,2.17,92,68,65,1,1,3,1,92.0,198.0,90.0,2.2,258,46.45915
+674,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13453,1011,103,[],Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2022-12-18,2022-11-09,2021-07-03,76,176.3501872659176,27,2,5,"['huggingface', 'universityofmaryland,collegepark']",,4.35,13,4,18,1,3,3,3,13.0,32.0,90.0,2.5,121,42.31203
+56,term,https://github.com/pallets/click,,,,pallets/click,click,13290,1299,183,"['python', 'cli', 'click', 'pallets']",Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2022-12-18,2022-11-01,2014-04-24,451,29.430559949383106,333,2,5,"['getsentry', 'sentry']",,1.23,65,24,105,2,5,5,5,65.0,62.0,90.0,1.0,3073,57.20947
+119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13208,3082,285,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2022-12-18,2022-12-17,2018-06-05,236,55.76357056694813,526,1,5,['databricks'],,22.33,849,680,55,0,13,24,13,850.0,2007.0,90.0,2.4,955,67.32446
+544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13184,2333,228,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2022-12-18,2020-06-01,2015-07-10,388,33.94189040088268,36,3,5,"['kitware', 'maxplanckinstituteofanimalbehavior', 'mujin']",,0.0,5,1,91,31,0,2,2,5.0,8.0,90.0,1.6,383,37.76871
+408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13100,1836,227,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2022-12-18,2022-12-12,2013-10-01,480,27.243018419489008,661,3,5,"['ansiblecoreredhatofficial', 'microsoft', 'neu.ro']",,8.35,303,207,112,0,2,26,2,303.0,598.0,90.0,2.0,5253,69.76611
+554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,12898,2145,332,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2022-12-18,2022-12-10,2017-08-09,279,46.111338100102145,163,3,5,"['carbonrobotics', 'nvidia', 'uber']",,3.12,128,75,65,0,7,14,7,128.0,269.0,90.0,2.1,93,56.58463
+507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,12835,3147,458,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2022-12-18,2022-10-24,2017-06-15,287,44.632389468455045,243,3,5,"['google', 'mimuw', 'universityofillinoisaturbana–champaign']",,0.23,14,2,67,2,0,14,14,14.0,15.0,90.0,1.1,295,50.80974
+812,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12738,4189,552,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2022-12-18,2021-06-01,2014-09-28,429,29.68242343541944,103,2,5,"['amazonwebservices', 'wedgwoodwebworks']",,0.0,27,10,100,19,0,10,10,27.0,17.0,90.0,0.6,247,42.31027
+62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,12630,2251,275,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:,plotly,2022-12-18,2022-10-27,2013-11-21,473,26.669683257918553,201,3,5,"['hextechnologies', 'netflix', 'plotly']",,3.52,166,40,110,2,9,15,9,166.0,236.0,90.0,1.4,2044,60.48519
+39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12515,2511,311,"['jupyterlab', 'jupyter']",TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2022-12-18,2022-12-16,2016-06-03,341,36.65481171548117,517,5,5,"['coiled', 'databricks', 'jupyterquantstack', 'mongodb', 'quantstack']",,15.75,777,555,80,0,53,5006,53,777.0,1800.0,90.0,2.3,5103,76.85596
+127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12327,1729,282,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2022-12-18,2022-12-16,2018-06-01,237,51.918772563176894,185,1,5,['microsoft'],,7.79,212,115,55,0,6,10,6,213.0,379.0,90.0,1.8,186,55.62039
+152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12300,1977,206,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2022-12-18,2022-12-18,2018-06-11,236,52.11864406779661,235,3,5,"['humboldtuniversität', 'rasahq', 'researchindustrialsystemsengineering(rise)']",,11.98,195,127,55,0,1,5,1,195.0,260.0,90.0,1.3,254,57.83871
+281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,12080,2664,110,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2022-12-18,2022-12-18,2016-01-28,359,33.59555025824394,173,2,5,"['stylezen', 'trimble-oss']",,14.37,245,232,84,0,58,43,58,245.0,619.0,90.0,2.5,13300,70.98461
+575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,11971,1736,247,"['python', 'bindings']",C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2022-12-18,2022-12-16,2015-07-05,389,30.762481644640236,312,3,5,"['epfl', 'lumicks', 'princetonuniversity']",,5.27,230,176,91,0,5,7,5,230.0,886.0,90.0,3.9,1836,67.64555
+52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,11960,2803,276,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2022-12-18,2022-12-15,2010-09-06,641,18.658346333853356,636,1,5,['ucberkeley'],,9.06,390,241,150,0,16,7,16,390.0,500.0,90.0,1.3,957,65.74663
+314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,11924,1113,88,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",Python,https://docs.pydantic.dev,pydantic: Data parsing and validation using Python type hints,samuelcolvin,2022-12-18,2022-12-15,2017-05-03,293,40.59727626459144,333,3,5,"['pydantic', 'pyupio', 'toucantoco']",,5.4,340,204,68,0,11,17,11,340.0,668.0,90.0,2.0,1774,66.6183
+114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11332,2231,280,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2022-12-18,2022-11-22,2017-05-15,292,38.80821917808219,265,1,5,['microsoftsemanticmachines'],,1.6,36,32,68,1,6,12,6,36.0,98.0,90.0,2.7,331,53.48101
+425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11325,1447,124,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2022-12-18,2022-11-24,2018-06-06,236,47.84248642124321,123,2,5,"['deci-ai', 'ternaus.com']",,1.29,95,40,55,1,3,4,3,95.0,133.0,90.0,1.4,24,45.96912
+105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11321,2671,469,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",Python,https://www.nltk.org,NLTK Source,nltk,2022-12-18,2022-12-13,2009-09-07,693,16.336219336219337,435,2,5,"['googleresearch', 'zytedata,scrapinghub']",,2.29,66,52,162,0,0,3,3,66.0,154.0,90.0,2.3,4758,64.34187
+346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,11301,717,88,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2022-12-18,2022-12-17,2018-12-19,208,54.14579055441479,118,1,5,['pennstate'],,29.58,698,489,49,0,75,19,75,698.0,1859.0,90.0,2.7,794,64.23435
+242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11213,2300,325,[],Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2022-12-18,2022-10-24,2019-01-15,204,54.73570432357043,91,1,5,['deepmind'],,0.77,37,6,48,2,0,0,0,37.0,26.0,90.0,0.7,7,33.55297
+320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,10984,1632,220,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",Python,,"PySimpleGUI: Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive documentation.  Examples for Machine Learning(OpenCV Integration,  Chatterbot), Rainmeter-like Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs -  PySimpleGUI.org GitHub - PySimpleGUI.com. The Minecraft of GUIs - simple to complex... does them all.",pysimplegui,2022-12-18,2022-12-17,2018-07-11,231,47.40320591861899,18,2,5,"['netperfect', 'pysimplegui']",,9.48,242,202,54,0,5,1,5,242.0,689.0,90.0,2.8,67,51.24711
+190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,10871,2643,174,"['deep-learning', 'graph-neural-networks']",Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2022-12-18,2022-12-18,2018-04-20,243,44.657863849765256,240,5,5,"['aws', 'awsailabshanghai', 'awsshanghai', 'newyorkuniversity', 'tensorchord']",,11.92,617,452,57,0,7,6,7,615.0,3148.0,90.0,5.1,47,65.24854
+122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,10804,1010,136,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2022-12-18,2022-12-15,2017-03-04,302,35.74102079395085,276,2,5,"['iterative', 'iterative.ai']",,19.79,520,371,70,0,54,73,54,519.0,1066.0,90.0,2.1,3399,70.22249
+1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,10801,2663,345,['arrow'],C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2022-12-18,2022-12-18,2016-02-17,356,30.279134961954345,976,4,5,"['clear-code', 'quantco', 'voltron-data/ursa-computing', 'voltrondata']",,41.44,1046,764,83,0,0,10,10,1046.0,5523.0,90.0,5.3,15514,82.94679
+120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,10681,1084,152,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2022-12-18,2022-12-17,2018-06-29,233,45.75703794369645,100,2,5,"['prefect', 'prefecthq']",,131.9,1305,920,54,0,47,36,47,1308.0,2629.0,90.0,2.0,362,67.07832
+192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,10628,1932,172,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2022-12-18,2020-06-05,2019-02-23,199,53.33046594982079,17,4,5,"['cortexia', 'formlogic', 'intelliatherapeutics', 'messagg']",,0.0,152,51,46,31,0,2,2,152.0,84.0,90.0,0.6,44,33.80779
+79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10608,4514,341,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",Python,https://scipy.org,SciPy library main repository,scipy,2022-12-18,2022-12-17,2011-03-09,614,17.25679758308157,1401,1,5,['quansight'],,30.5,1144,738,143,0,13,13,13,1144.0,2983.0,90.0,2.6,7282,76.57437
+11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10578,1575,216,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2022-12-18,2022-12-16,2015-01-04,415,25.48038540949759,570,2,5,"['coiled', 'voltrondata']",,11.13,346,211,97,0,0,32,32,346.0,856.0,90.0,2.5,3107,71.77885
+218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10574,1066,325,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2022-12-18,2022-10-27,2013-04-01,507,20.8560157790927,82,1,5,['google'],,0.12,17,9,118,2,1,3,1,17.0,28.0,90.0,1.6,66,41.24694
+857,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10477,1892,1730,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2022-12-18,2022-12-16,2015-12-15,365,28.636860601327605,209,1,5,['foursquare'],,7.31,185,127,85,0,59,74,59,186.0,250.0,90.0,1.3,273,59.14641
+718,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,10407,553,104,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js",pola-rs,2022-12-18,2022-12-18,2020-05-13,135,76.68315789473684,141,1,5,['aertslab'],,39.65,1083,893,32,0,26,129,26,1083.0,1784.0,90.0,1.6,102,59.74475
+72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10374,1957,218,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",Python,https://python-pillow.org,Pillow: The friendly PIL fork (Python Imaging Library),python-pillow,2022-12-18,2022-12-16,2012-07-24,542,19.11,420,3,5,"['aclark.net', 'nordsoftware', 'uploadcare']",,19.37,361,295,127,0,6,8,6,361.0,568.0,90.0,1.6,26551,74.1838
+110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10294,1693,272,[],JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2022-12-16,2021-07-29,2016-03-15,352,29.17327935222672,61,2,5,"['related-sciences', 'system1']",,0.0,25,10,82,17,0,3,3,25.0,19.0,90.0,0.8,145,38.3514
+427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10233,1866,146,[],Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2022-12-18,2022-03-07,2020-05-26,133,76.44717182497332,25,4,5,"['axera-tech', 'facebookaireseach', 'facebookairesearch', 'mtsai']",,0.02,48,13,31,10,0,0,0,48.0,51.0,90.0,1.1,66,34.74809
+50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10172,1678,252,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2022-12-18,2022-12-18,2012-06-18,548,18.562043795620436,181,3,5,"['bridgebioanalytics', 'coiled', 'universityofbritishcolumbia']",,4.69,146,116,128,0,8,3,8,146.0,305.0,90.0,2.1,522,62.58486
+166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10043,2620,405,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2022-12-18,2022-09-25,2011-04-12,609,16.467791051768565,299,1,5,['ucla'],,1.69,55,14,142,3,2,2,2,55.0,34.0,90.0,0.6,2098,51.52757
+173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,9986,399,66,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2022-12-18,2022-12-16,2019-12-24,155,64.07149404216315,32,1,5,['lofidynamics'],,2.75,183,93,36,0,6,8,6,183.0,342.0,90.0,1.9,381,49.55948
+24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,9956,1337,440,"['rl', 'ml', 'ai', 'google', 'tensorflow']",Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2022-12-16,2022-11-28,2018-07-26,229,43.367766023646546,15,1,5,['google'],,0.44,6,2,54,1,0,0,0,6.0,17.0,90.0,2.8,27,33.55339
+60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,pandas-profiling,9944,1413,150,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",Python,https://pandas-profiling.ydata.ai,pandas-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2022-12-18,2022-12-16,2016-01-09,362,27.44794952681388,105,1,5,['metamaze'],,3.54,196,144,84,0,4,18,4,196.0,260.0,90.0,1.3,60,50.62193
+87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,9887,3794,283,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2022-12-18,2022-12-17,2010-04-30,659,14.993284228769497,1186,2,5,"['gsitechnology', 'quansight']",,40.35,914,247,154,0,8,7,8,914.0,1859.0,90.0,2.0,7939,76.25086
+645,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,9831,1852,233,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2022-12-18,2022-12-18,2011-11-23,577,17.01706231454006,443,1,5,['develers.r.l.'],,7.4,6291,6242,135,0,14,5,14,6291.0,670.0,90.0,0.1,2287,66.502
+805,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,9786,640,106,"['python', 'http', 'trio', 'asyncio']",Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2022-12-18,2022-12-12,2019-04-04,193,50.5549815498155,182,2,5,"['elastic', 'encodeoss']",,3.13,130,103,45,0,5,20,5,130.0,242.0,90.0,1.9,2114,59.60811
+536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,9678,267,54,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2022-12-18,2022-12-09,2022-04-08,36,265.67058823529413,22,2,5,"['bloomberg', 'bloombergpythoninfrastructure']",,6.85,60,47,8,0,9,17,9,60.0,73.0,90.0,1.2,3,38.40438
+22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9672,1974,290,[],Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2022-12-18,2022-12-13,2017-04-24,295,32.7864406779661,204,2,5,"['facebookairesearch', 'facebookresearch']",,5.13,177,138,69,0,3,7,3,177.0,276.0,90.0,1.6,1804,60.56503
+38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9629,3983,320,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2022-12-17,2022-12-11,2015-04-09,401,23.97829953753113,622,4,5,"['amazonwebservices', 'google', 'quansight-labs', 'simularesearchlaboratory']",,9.38,222,148,94,0,19,30,19,222.0,373.0,90.0,1.7,97078,78.16955
+71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9601,2216,195,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2022-12-18,2022-12-17,2015-06-15,392,24.492346938775512,842,4,5,"['esss', 'freelancer,upforhire', 'merlinux', 'redhatinsights']",,7.56,302,217,91,0,7,24,7,302.0,631.0,90.0,2.1,42749,76.55276
+653,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9464,344,107,"['profiler', 'python', 'performance-analysis', 'profiling']",Rust,,py-spy: Sampling profiler for Python programs,benfred,2022-12-17,2022-12-09,2018-08-01,228,41.3791380387258,31,1,5,['nvidia'],,0.58,29,10,53,0,3,7,3,29.0,27.0,90.0,0.9,156,41.80836
+225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9408,616,124,"['python', 'webassembly']",Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2022-12-18,2022-12-18,2018-02-23,251,37.41818181818182,159,2,5,"['microsoft', 'mitmathdepartment']",,14.48,288,200,59,0,15,13,15,289.0,724.0,90.0,2.5,60,59.33072
+412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9355,689,82,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2022-12-18,2022-12-13,2014-03-13,457,20.444895410552608,146,2,5,"['twitter', 'yelp']",,2.08,155,139,107,0,5,20,5,155.0,361.0,90.0,2.3,1348,60.66502
+315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9255,496,136,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2022-12-18,2022-12-14,2020-05-28,133,69.28877005347593,51,2,5,"['benoitpremiumthreading', 'metecs']",,3.42,131,57,31,0,10,9,10,131.0,131.0,90.0,1.0,64,48.22041
+155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9231,1359,324,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2022-12-18,2022-03-16,2018-03-30,246,37.45913043478261,21,1,5,['na'],,0.02,3,0,57,9,0,4,4,3.0,2.0,90.0,0.7,52,29.48631
+655,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9071,525,226,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2022-12-18,2022-09-14,2015-11-08,371,24.44072363356428,55,1,5,['edgedb'],,0.6,26,6,87,3,1,11,1,26.0,37.0,90.0,1.4,569,42.85418
+238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9061,385,118,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2022-12-18,2022-12-16,2021-08-24,68,131.59128630705393,54,0,5,[],,2.98,137,67,16,0,3,5,3,137.0,308.0,90.0,2.2,42,40.84357
+142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,9012,1796,116,[],Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2022-12-18,2022-11-28,2019-07-24,177,50.71061093247589,106,2,5,"['huggingface', 'telekom']",,2.02,141,44,41,1,3,9,3,141.0,158.0,90.0,1.1,118,47.89295
+398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,8978,898,266,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest', 'hacktoberfest-accepted', 'hacktoberfest2022', 'hacktoberfest']",Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2022-12-17,2022-12-02,2012-12-06,523,17.147612551159618,195,2,5,"['centurylink', 'liquidweb']",,1.27,43,26,122,1,8,7,8,43.0,67.0,90.0,1.6,39,50.91137
+157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,8940,1529,252,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2022-12-18,2022-11-01,2010-10-17,635,14.07557354925776,302,3,5,"['cern/indico', 'getsentry', 'sentry']",,1.25,52,31,148,2,3,4,3,52.0,48.0,90.0,0.9,16433,60.77525
+371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,8935,428,80,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2022-12-17,2022-11-16,2021-03-05,93,95.63455657492355,15,1,5,['up42'],,0.52,11,6,22,1,0,2,2,11.0,7.0,90.0,0.6,14,29.63539
+517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,8923,644,79,[],Python,,pyright: Static type checker for Python,microsoft,2022-12-18,2022-12-18,2019-03-12,196,45.327285921625545,83,2,5,"['microsoft', 'microsoftcorp.']",,24.56,372,356,46,0,87,97,87,370.0,924.0,90.0,2.5,1392,64.92175
+244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8855,2275,307,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2022-12-17,2022-12-16,2016-10-10,323,27.41486068111455,255,2,5,"['aws', 'leland']",,6.06,467,322,75,0,13,10,13,467.0,343.0,90.0,0.7,372,60.47681
+132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8846,1504,291,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2022-12-18,2022-07-29,2015-11-03,371,23.788705339992315,112,3,5,"[""children'shospitalofphiladelphia"", 'eindhovenuniversityoftechnology', 'usc']",,0.35,15,4,87,5,0,4,4,15.0,13.0,90.0,0.9,20,41.04155
+780,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,8780,1520,99,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2022-12-18,2022-12-18,2022-05-30,29,302.7586206896552,159,1,5,['huggingface'],,26.25,1315,1033,7,0,23,49,23,1315.0,5140.0,90.0,3.9,5139,65.64144
+5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8684,1619,234,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2022-12-18,2022-12-03,2009-11-30,681,12.751835535976506,380,3,5,"['confluentinc', 'enkimultimedia', 'nytimes']",,0.5,167,90,159,0,0,7,7,167.0,184.0,90.0,1.1,2114,62.91664
+134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8681,1385,306,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2022-12-18,2022-12-15,2017-11-19,265,32.74084051724138,139,2,5,"['keras-teamtensorflowgooglers', 'preligens']",,1.6,47,28,62,0,4,11,4,47.0,42.0,90.0,0.9,3,43.91307
+92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8670,1024,181,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2022-12-18,2022-12-17,2018-12-27,207,41.768754301445284,130,2,5,"['predibase', 'uber']",,15.54,383,334,48,0,16,9,16,383.0,479.0,90.0,1.3,54,57.08434
+759,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,8507,960,102,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a ""dream bot"" style interface, and multiple features and other enhancements. For more info, see the website link below.",invoke-ai,2022-12-18,2022-12-18,2022-08-17,17,480.23387096774195,146,2,5,"['ares-consulting', 'ontarioinstituteforcancerresearch']",,34.5,1312,1023,4,0,12,195,12,1312.0,5106.0,90.0,3.9,230,60.02869
+523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,8496,692,113,"['artificial-intelligence', 'deep-learning', 'text-to-image']",Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2022-12-18,2022-12-15,2022-04-07,36,232.3125,16,0,5,[],,11.19,32,18,8,0,332,514,332,32.0,52.0,90.0,1.6,50,38.91026
+151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8388,1100,270,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2022-12-18,2021-10-22,2013-06-30,494,16.97484822202949,36,2,5,"['google', 'urbaninfrastructure']",,0.0,3,0,115,14,0,4,4,3.0,1.0,90.0,0.3,38,31.8955
+100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8371,1594,548,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2022-12-18,2020-04-25,2011-05-03,606,13.794020715630886,30,1,5,['twitter-research'],,0.0,6,2,142,32,1,0,1,6.0,3.0,90.0,0.5,293,31.32583
+126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,8355,985,144,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2022-12-18,2022-12-18,2020-01-23,151,55.12252591894439,148,2,5,"['microsoft', 'stasosphereonline']",,8.46,386,270,35,0,17,18,17,386.0,708.0,90.0,1.8,150,58.33886
+282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8167,636,134,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2022-12-18,2022-11-15,2012-11-18,526,15.522400217214228,268,1,5,['amazon'],,0.73,28,11,123,1,1,5,1,28.0,46.0,90.0,1.6,943,51.46999
+125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8151,584,110,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2022-12-18,2022-12-17,2018-06-21,234,34.74847746650426,109,2,5,"['ponder', 'ponder.io']",,9.44,815,505,55,0,17,14,17,815.0,1026.0,90.0,1.3,22,55.48983
+53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8074,983,205,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2022-12-17,2022-12-16,2012-03-08,562,14.35195530726257,327,1,5,['mlabs'],,29.77,388,197,131,0,7,18,7,388.0,1032.0,90.0,2.7,4467,69.1077
+294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8042,1887,320,[],Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2022-12-18,2022-11-04,2009-02-02,724,11.107734806629834,177,3,5,"['codecobblers,inc', 'healthbyro', 'jumptrading']",,1.71,93,36,169,1,0,13,13,93.0,204.0,90.0,2.2,2010,61.79429
+84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,8013,2627,272,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2022-12-18,2022-12-10,2011-06-12,601,13.329610266159696,402,1,5,['hcahealthcare'],,6.0,450,237,140,0,4,4,4,450.0,623.0,90.0,1.4,1144,62.26753
+128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,7936,710,150,[],Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2022-12-17,2022-12-18,2015-09-19,378,20.978851963746223,147,3,5,"['amazonwebservices', 'google', ""losangelestimesandstanford'sbiglocalnews""]",,3.27,112,69,88,0,1,3,1,112.0,374.0,90.0,3.3,95,55.89908
+116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,7893,741,102,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2022-12-18,2022-12-15,2019-04-18,191,41.20134228187919,176,2,5,"['quantumblack', 'softwareengineeratquantumblacklabs']",,6.88,366,212,45,0,6,9,6,366.0,529.0,90.0,1.4,9,51.69432
+706,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,7821,1838,170,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2022-12-18,2022-12-16,2016-12-02,315,24.79483695652174,175,3,5,"['formatechnologies', 'hku-cs', 'postech']",,5.5,345,128,74,0,2,4,2,345.0,419.0,90.0,1.2,11,52.01991
+7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7770,1691,239,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2022-12-18,2022-12-16,2014-10-03,428,18.136045348449482,139,2,5,"['amazonwebservices', 'istreamplanet']",,9.92,326,182,100,0,0,147,147,326.0,432.0,90.0,1.3,28646,69.8489
+29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,7751,1156,69,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2022-12-18,2022-12-16,2017-09-11,275,28.185454545454544,342,1,5,['superconductive'],,35.42,638,516,64,0,58,41,58,638.0,1340.0,90.0,2.1,158,64.43845
+422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7715,940,203,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2022-12-18,2022-12-13,2017-06-16,287,26.84145129224652,130,3,5,"['facebook', 'generatebiomedicines', 'meta']",,1.35,37,24,67,0,3,6,3,37.0,44.0,90.0,1.2,106,51.00913
+394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7692,693,112,"['python', 'async', 'websockets', 'graphql', 'http']",Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2022-12-18,2022-12-09,2018-06-25,234,32.87179487179487,217,2,5,"['encode', 'encodeoss']",,4.56,129,96,55,0,12,27,12,129.0,273.0,90.0,2.1,1476,62.04619
+367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7687,1837,72,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2022-12-18,2022-12-16,2021-07-17,74,103.47884615384615,67,4,5,"['markany', 'megvii-basedetection', 'megviibasedetection', 'wandb']",,0.92,122,50,17,0,2,3,2,122.0,147.0,90.0,1.2,10,43.39891
+495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,7647,730,115,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2022-12-18,2022-12-17,2018-06-26,233,32.69945021380574,215,2,5,"['cwi', 'duckdblabs']",,131.92,1149,956,55,0,8,7,8,1150.0,1990.0,90.0,1.7,349,66.68811
+815,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,7640,969,99,"['image-processing', 'background-removal', 'python']",Python,,Rembg is a tool to remove images background.,danielgatis,2022-12-18,2022-12-14,2020-08-10,123,62.113821138211385,32,1,5,['christianclauss'],,2.35,73,51,29,0,15,13,15,73.0,149.0,90.0,2.0,18,44.05328
+615,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7635,2052,483,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2022-12-18,2022-12-11,2014-06-27,442,17.25702292541169,172,2,5,"['eligaoy', 'reaktor']",,10.92,157,94,103,0,14,15,14,157.0,321.0,90.0,2.0,1572,64.57422
+95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7633,581,144,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2022-12-18,2022-12-08,2014-09-27,429,17.780698835274542,72,3,5,"['maartenbreddels', 'rungalileo', 'xdss']",,4.52,131,68,100,0,0,44,44,131.0,263.0,90.0,2.0,29,55.82363
+10,util,https://github.com/cython/cython,,,,cython/cython,cython,7517,1345,230,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2022-12-18,2022-12-15,2010-11-21,630,11.929041033779189,489,2,5,"['ecrcatkaust', 'mlabs']",,9.35,222,136,147,0,8,15,8,222.0,496.0,90.0,2.2,4115,69.15892
+440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7514,753,118,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2022-12-17,2022-12-16,2018-08-22,225,33.289873417721516,195,4,5,"['computervisioncenter', 'czechtechnicaluniversityinprague', 'kaust', 'kornia.org']",,6.37,236,174,53,0,6,8,6,236.0,411.0,90.0,1.7,103,59.02274
+322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7496,804,146,"['graphql', 'python', 'relay', 'framework', 'graphene']",Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2022-12-17,2022-12-11,2015-09-24,377,19.85319712447976,194,1,5,['wasmerio'],,0.79,49,34,88,0,4,8,4,49.0,110.0,90.0,2.2,1177,55.6152
+470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,7463,1365,178,"['nlp', 'language-understanding', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'infoxlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'wavlm', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model']",Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2022-12-18,2022-11-28,2019-07-23,177,41.960642570281124,50,1,5,['microsoftresearch'],,6.02,136,79,41,1,0,1,1,136.0,207.0,90.0,1.5,32,42.86846
+547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7310,784,121,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2022-12-18,2022-12-16,2018-02-21,251,29.040862656072644,220,1,5,['preferrednetworks'],,46.4,323,226,59,0,11,11,11,323.0,983.0,90.0,3.0,1036,65.43558
+28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7217,750,145,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",Python,,Trax — Deep Learning with Clear Code and Speed,google,2022-12-18,2022-11-09,2019-10-05,167,43.141759180187876,78,2,5,"['google', 'mimuw']",,0.38,8,1,39,1,0,6,6,8.0,5.0,90.0,0.6,19,38.19324
+70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7187,1711,225,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'aesara', 'hacktoberfest', 'pytensor']",Python,https://docs.pymc.io/,pymc: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor,pymc-devs,2022-12-18,2022-12-18,2009-05-05,710,10.11032958199357,428,2,5,"['msueconomics/skoltechcs', 'pymclabs']",,17.42,365,279,166,0,22,5,22,365.0,941.0,90.0,2.6,236,67.66503
+455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7126,1612,462,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",Python,http://tensorlayer.org,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2022-12-17,2022-04-23,2016-06-07,340,20.906119027661358,132,4,5,"['columbiauniversity', 'imperialcollegelondon,pangaeadata', 'pekinguniversity', 'universityofedinburgh']",,0.04,2,0,80,8,0,13,13,2.0,2.0,90.0,1.0,52,42.39194
+165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7043,1449,122,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2022-12-17,2022-12-16,2018-05-09,240,29.258753709198814,98,3,5,"['classi', 'noom', 'statisticscanada']",,12.69,115,68,56,0,8,7,8,115.0,161.0,90.0,1.4,94,55.87857
+758,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,7014,271,71,"['electron-app', 'macos', 'stable-diffusion']",JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2022-12-18,2022-11-23,2022-09-06,14,472.09615384615387,16,0,5,[],,3.87,338,129,3,1,13,57,13,338.0,773.0,90.0,2.3,0,29.38445
+868,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,7002,658,88,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training']",Python,https://www.colossalai.org/,ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era,hpcaitech,2022-12-18,2022-12-18,2021-10-28,59,117.53956834532374,82,2,5,"['hpc-aitech', 'hpcaitech']",,27.52,514,452,14,0,18,17,18,511.0,266.0,90.0,0.5,3,47.94364
+846,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,6943,1093,159,"['data-science', 'feature-extraction', 'time-series']",Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2022-12-17,2022-11-18,2016-10-26,320,21.648552338530067,82,2,5,"['apple', 'universityofauckland']",,0.1,24,6,75,1,1,5,1,24.0,48.0,90.0,2.0,26,42.05837
+650,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,6939,232,69,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python",plasma-umass,2022-12-18,2022-12-16,2019-12-17,156,44.23770491803279,34,2,5,"['umassamherst', 'universityofmassachusettsamherst']",,11.71,93,52,37,0,21,12,21,94.0,167.0,90.0,1.8,76,52.01886
+150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6846,1070,193,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2022-12-18,2022-12-18,2017-07-18,282,24.203030303030303,1038,2,5,"['yandex', 'yandexnv']",,117.42,146,58,66,0,5,16,5,146.0,263.0,90.0,1.8,276,66.9368
+171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,6806,1032,140,[],Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2022-12-18,2022-12-16,2019-10-25,164,41.39183318853171,110,3,5,"['caltech', 'facebook', 'facebookairesearch']",,6.92,88,37,38,0,3,4,3,88.0,123.0,90.0,1.4,383,54.79397
+286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,6758,474,99,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2022-12-18,2022-12-18,2017-10-23,269,25.12267657992565,72,2,5,"['datasette', 'latacora']",,8.62,178,108,63,0,19,25,19,178.0,853.0,90.0,4.8,557,62.26816
+65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6669,1522,125,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2022-12-18,2022-12-18,2019-11-23,160,41.606951871657756,107,4,5,"['konfio', 'o9solutions', 'pycaret', 'softwareengineeranyscale']",,19.88,307,228,37,0,5,8,5,307.0,380.0,90.0,1.2,194,58.63736
+131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6666,1208,213,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2022-12-18,2022-12-07,2015-07-02,389,17.11111111111111,88,5,5,"['albert-ludwigs-universitätfreiburg', 'automl.org', 'awsberlin', 'centerforarmyanalysisandsimulation', 'universityoffreiburg']",,2.65,71,34,91,0,5,5,5,71.0,101.0,90.0,1.4,388,57.50293
+197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,6663,591,161,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2022-12-18,2022-02-25,2020-07-05,128,51.99665551839465,29,1,5,['boozallenhamilton'],,0.04,0,0,30,10,0,2,2,0.0,0.0,90.0,0.0,14,22.2216
+824,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6654,1119,392,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2022-12-18,2021-12-18,2019-05-03,189,35.126696832579185,6,3,5,"['alanturinginstitute,firmai', 'tilde-lab', 'universityofutah']",,0.0,0,0,44,12,0,0,0,0.0,0.0,90.0,0.0,0,15.22321
+532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6600,527,83,[],Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2022-12-18,2022-12-17,2019-06-12,183,35.925349922239505,105,2,5,"['facebook', 'facebookairesearch']",,4.27,147,91,43,0,3,6,3,147.0,233.0,90.0,1.6,47,50.43036
+67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6567,752,229,"['python', 'rest', 'flask', 'mongodb']",Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2022-12-18,2022-11-10,2012-10-22,530,12.39056603773585,211,3,5,"['cir2000', 'denoland', 'google']",,1.06,16,9,124,1,0,5,5,16.0,28.0,90.0,1.8,34,50.38291
+389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6557,1217,151,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2022-12-18,2022-12-16,2017-10-03,271,24.119285338938518,46,3,5,"['carnegiemellonuniversity', 'erasmusmedicalcentre', 'royalbankofcanada(rbc)']",,3.69,28,13,63,0,12,7,12,28.0,59.0,90.0,2.1,66,51.33773
+133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6511,1004,126,[],Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2022-12-16,2021-11-29,2011-09-06,588,11.057011159631246,93,3,5,"['contxts-io', 'databricks', 'kindred.ai']",,0.0,14,3,137,13,0,1,1,14.0,28.0,90.0,2.0,135,42.1784
+716,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6473,554,105,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2022-12-17,2022-12-17,2012-09-10,536,12.076492537313433,181,2,5,"['pioneervalleybooks', 'ubisoftinc']",,2.67,179,132,125,0,12,11,12,179.0,312.0,90.0,1.7,2531,63.55318
+215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6468,134,50,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",Python,,icecream: 🍦 Never use print() to debug again.,gruns,2022-12-18,2022-12-04,2018-02-13,252,25.579661016949153,21,3,5,"['fixpoint', 'https://arc.io,https://pep.dev', 'pku-epic']",,0.85,12,5,59,0,2,1,2,12.0,26.0,90.0,2.2,34,42.71229
+82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6443,1025,94,"['sqlalchemy', 'sql', 'python']",Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2022-12-17,2022-12-18,2018-11-27,211,30.412002697235334,583,2,5,"['redhat', 'self-employed']",,13.65,304,231,49,0,21,66,21,304.0,1209.0,90.0,4.0,10439,73.80535
+141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6424,835,158,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2022-12-18,2022-12-17,2017-09-08,275,23.323651452282157,68,1,5,['alteryx'],,6.17,161,125,64,0,25,28,25,161.0,189.0,90.0,1.2,31,50.92099
+288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6401,539,69,"['python', 'testing', 'fuzzing', 'property-based-testing']",Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2022-12-18,2022-12-11,2013-03-10,510,12.547465695883506,297,4,5,"['anthropic', 'pyupio', 'quansight', 'weomecollection']",,13.75,88,66,119,0,95,135,95,88.0,128.0,90.0,1.5,12462,72.64569
+153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6358,621,82,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2022-12-18,2022-12-11,2013-11-10,475,13.38123872519543,203,1,5,['nobatek'],,1.79,54,36,111,0,0,19,19,54.0,52.0,90.0,1.0,2390,58.91292
+230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6335,2015,111,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2022-12-17,2022-03-11,2015-10-30,372,17.009973149213657,45,3,5,"['contentful', 'drivendata', 'unseenbio']",,0.04,17,7,87,9,0,0,0,17.0,10.0,90.0,0.6,28,34.24438
+602,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6267,663,227,[],Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2022-12-17,2017-12-20,2010-06-29,650,9.628841088674276,49,5,5,"['br', 'datascopeanalytics', 'facebook', 'fivethirtyeight', 'https://github.com/verizondigital/']",,0.0,2,0,152,61,0,0,0,2.0,2.0,90.0,1.0,64,32.42307
+800,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6234,1663,227,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2022-12-17,2022-11-01,2010-10-18,635,9.817322834645669,463,3,5,"['getsentry', 'sentry', 'zalandose']",,2.62,50,34,148,2,7,7,7,50.0,43.0,90.0,0.9,9133,62.98156
+356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6219,583,239,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'cli', 'high-performance-computing', 'kubernetes']",Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2022-12-18,2022-12-14,2019-09-17,169,36.613120269133724,62,2,5,"['missingexponent', 'outerbounds']",,3.27,106,65,40,0,30,24,30,106.0,147.0,90.0,1.4,49,51.14974
+382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,6210,964,87,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'neural-search', 'squad', 'elasticsearch', 'dpr', 'information-retrieval', 'summarization', 'search-engine', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python']",Python,https://deepset.ai/haystack,"haystack: :mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.",deepset-ai,2022-12-18,2022-12-16,2019-11-14,161,38.43501326259947,149,2,5,"['deepset', 'deepset-ai']",,14.31,617,399,38,0,18,12,18,617.0,895.0,90.0,1.5,57,57.8656
+459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6207,1095,131,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2022-12-18,2022-12-15,2016-03-10,353,17.555151515151515,252,2,5,"['dbt-labs', 'fishtownanalytics']",,8.29,890,615,82,0,40,21,40,889.0,1514.0,90.0,1.7,82,62.45905
+20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6164,407,107,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2022-12-18,2022-12-17,2017-11-10,266,23.135656836461127,231,2,5,"['facebook', 'metaplatforms']",,47.44,46,22,62,0,3,16,3,46.0,51.0,90.0,1.1,322,58.0148
+556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6140,269,62,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2022-12-18,2022-12-04,2018-09-22,221,27.746933505487412,22,5,5,"['aperturescience', 'idea', 'princetonuniversity', 'quansight', 'sunyat-senuniversity']",,2.52,41,26,52,0,4,2,4,41.0,42.0,90.0,1.0,8,43.94634
+681,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6109,843,216,[],Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2022-12-17,2022-09-29,2014-11-24,421,14.510688836104514,52,5,5,"['google', 'googlebrain', 'universityofamsterdam', 'universityoftoronto', 'visa']",,0.08,7,4,98,3,0,0,0,7.0,15.0,90.0,2.1,160,44.22134
+121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,6053,759,87,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2022-12-18,2022-12-18,2018-04-30,242,25.012396694214875,256,1,5,['elementl'],,57.9,1677,1229,56,0,59,139,59,1677.0,3154.0,90.0,1.9,2733,70.22045
+73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6023,2154,166,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2022-12-18,2022-12-12,2013-05-09,501,12.00825975505554,147,3,5,"['datartibus', 'jgardinerconsultingltd.', 'stripe']",,1.81,309,276,117,0,2,2,2,309.0,344.0,90.0,1.1,671,58.69721
+879,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,5980,984,110,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",Python,https://sktime.org,sktime: A unified framework for machine learning with time series,sktime,2022-12-17,2022-12-18,2018-11-06,214,27.83244680851064,206,4,5,"['ucl', 'uclalan-turing-instituteesrc-cdrc', 'universitycollegelondon', 'universityofeastanglia']",,17.92,655,376,50,0,16,9,16,656.0,1884.0,90.0,2.9,51,63.77311
+410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,5962,522,87,"['python', 'asyncio', 'asgi', 'http', 'http-server']",Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2022-12-18,2022-12-12,2017-05-31,289,20.578895463510847,149,2,5,"['encode', 'encodeoss']",,3.92,212,178,68,0,14,26,14,212.0,395.0,90.0,1.9,3899,63.79482
+44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,5961,694,124,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2022-12-16,2022-11-11,2017-07-02,285,20.905310621242485,109,4,5,"['anaconda', 'contextlabcosanlab', 'microsoft', 'tutteinstituteformathematicsandcomputing']",,1.87,34,11,67,1,1,5,1,34.0,42.0,90.0,1.2,45,46.94678
+599,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,5875,1093,244,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2022-12-18,2022-05-31,2014-05-08,449,13.068001271051795,15,1,5,['alphagov'],,0.21,28,4,105,7,2,2,2,28.0,27.0,90.0,1.0,61,33.46287
+537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,5832,1782,184,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2022-12-18,2022-12-18,2017-12-13,261,22.283842794759824,312,2,5,"['fairatmetaai', 'nagoyauniversity']",,35.96,258,151,61,0,7,9,7,258.0,530.0,90.0,2.1,6280,69.03597
+313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,5810,265,65,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2022-12-18,2022-12-14,2018-10-06,219,26.495114006514658,82,2,5,"['astronomer', 'bloomberglp']",,1.12,51,21,51,0,4,13,4,51.0,95.0,90.0,1.9,107,49.219
+777,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,5807,316,50,[],Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2022-12-18,2022-12-15,2020-07-25,125,46.35005701254276,24,2,5,"['google', 'inspired-co']",,1.69,146,133,29,0,3,3,3,146.0,389.0,90.0,2.7,4,42.05166
+345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5713,363,70,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2022-12-18,2022-12-11,2018-06-15,235,24.266383495145632,74,3,5,"['facebookresearch', 'imperialcollegelondon', 'ucberkeley']",,0.9,40,18,55,0,10,29,10,40.0,92.0,90.0,2.3,113,52.13273
+69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5678,1566,113,"['pygithub', 'python', 'github', 'github-api']",Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2022-12-18,2022-12-15,2012-02-25,564,10.062278481012658,293,3,5,"['authzed', 'suse', 'zendesk']",,0.31,128,53,132,0,2,9,2,128.0,162.0,90.0,1.3,897,58.52648
+730,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5662,1376,190,"['machine-learning', 'security', 'benchmarking']",Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2022-12-13,2021-09-23,2016-09-15,326,17.337707786526686,129,1,5,['universityoftoronto'],,0.0,2,0,76,15,0,1,1,2.0,0.0,90.0,0.0,5,25.91041
+106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5637,963,149,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2022-12-18,2022-10-31,2016-10-23,321,17.552935943060497,44,2,5,"['centralesupelec', 'hirosystems']",,0.52,23,12,75,2,0,2,2,23.0,24.0,90.0,1.0,99,41.67353
+68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5546,2435,160,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2022-12-18,2022-12-18,2017-03-26,299,18.5396370582617,263,0,5,[],,13.81,342,231,70,0,8,14,8,342.0,571.0,90.0,1.7,806,58.38147
+773,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,5506,445,47,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",Python,,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2022-12-18,2022-12-17,2021-11-15,57,96.59649122807018,11,1,5,['musixmatchdev'],,6.69,105,84,13,0,33,33,33,105.0,214.0,90.0,2.0,7,40.77455
+643,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5495,353,33,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2022-12-18,2022-11-25,2014-09-06,432,12.711500330469267,85,4,5,"['codiumteam', 'docker', 'fueled', 'latacora']",,0.69,29,14,101,1,1,5,1,29.0,23.0,90.0,0.8,3185,53.15469
+682,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,5488,716,71,[],Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2022-12-18,2022-07-26,2021-12-20,52,105.53846153846153,5,2,5,"['huggingface', 'runwayml']",,0.52,80,14,12,5,0,0,0,80.0,126.0,90.0,1.6,16,26.98939
+439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5485,979,144,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2022-12-17,2022-11-14,2012-07-08,545,10.06158280922432,196,2,5,"['robinhoodmarkets', 'zipsale']",,0.27,31,12,127,1,0,2,2,31.0,41.0,90.0,1.3,364,50.69527
+723,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5478,771,136,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2022-12-18,2022-12-16,2018-05-31,237,23.05832832230908,64,2,5,"['amazon', 'barclaysib;columbia']",,5.81,191,159,55,0,5,3,5,191.0,321.0,90.0,1.7,5,47.82466
+193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5429,502,42,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2022-12-18,2022-12-17,2013-09-02,485,11.19381443298969,271,4,5,"['google', 'pioneervalleybooks', 'stripe', 'swisscom']",,1.6,124,92,113,0,5,15,5,124.0,106.0,90.0,0.9,9130,65.36624
+96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5326,597,139,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2022-12-18,2020-05-03,2017-08-15,278,19.09938524590164,7,1,5,['meta'],,0.0,4,0,65,32,0,0,0,4.0,5.0,90.0,1.2,5,18.51551
+579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5282,1249,173,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2022-12-18,2022-12-17,2016-08-17,330,15.971490280777537,66,5,5,"['collaborative,learning,andadaptiverobots(clear)', 'google', 'iitgandhinagar', 'indianinstituteofscience(iisc)', 'nvidia']",,10.58,7,6,77,0,1,0,1,7.0,3.0,90.0,0.4,232,50.48374
+278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5238,704,180,"['data', 'data-science', 'knowledge', 'data-analysis']",Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2022-12-18,2022-12-16,2016-08-17,330,15.838444924406048,69,2,5,"['airbnb', 'datascientistatnetflix']",,7.25,17,13,77,0,1,5,1,17.0,9.0,90.0,0.5,16,43.26415
+283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5226,312,63,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2022-12-18,2022-11-24,2016-06-27,338,15.461538461538462,87,1,5,['stxnext'],,0.75,39,15,79,1,1,8,1,39.0,28.0,90.0,0.7,60,41.094
+632,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5220,1103,119,"['python', 'cryptography']",Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2022-12-18,2022-12-17,2013-08-07,488,10.681087401344636,275,1,5,['purple-dot'],,14.67,380,359,114,0,0,11,11,380.0,341.0,90.0,0.9,11167,67.29385
+538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5219,1294,138,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2022-12-18,2022-12-17,2019-08-05,176,29.65340909090909,193,2,5,"['nvidia', 'nyu,nvidia']",,18.9,833,753,41,0,14,12,14,833.0,1535.0,90.0,1.8,885,64.79671
+511,ml,https://github.com/google/automl,,,,google/automl,automl,5211,1382,150,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",Jupyter Notebook,,automl: Google Brain AutoML,google,2022-12-16,2022-10-09,2020-03-12,144,36.044466403162055,37,2,5,"['amd', 'google']",,0.48,13,3,34,2,0,1,1,13.0,4.0,90.0,0.3,959,39.5766
+434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5172,2076,187,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2022-12-18,2022-12-17,2011-07-07,597,8.655032273487928,586,5,5,"['biomedicinediscoveryinstitute,monashuniversity', 'microsoft', 'mongodb', 'nvidia', 'universityofcalifornia,berkeley']",,5.21,376,226,139,0,2,8,2,377.0,566.0,90.0,1.5,779,66.90939
+3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5160,674,94,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series', 'forecasting']",Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2022-12-18,2022-12-17,2019-07-29,177,29.152542372881356,96,4,5,"['amazon', 'amazonai', 'amazonwebservices', 'awsai']",,12.71,481,353,41,0,10,7,10,481.0,972.0,90.0,2.0,56,58.67239
+880,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5138,557,41,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning']",Python,https://unit8co.github.io/darts/,darts: A python library for easy manipulation and forecasting of time series.,unit8co,2022-12-17,2022-12-16,2018-09-13,222,23.084724005134788,73,2,5,"['unit8co', 'unit8sa']",,4.38,278,166,52,0,10,8,10,278.0,419.0,90.0,1.5,13,50.20865
+546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5093,899,117,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2022-12-18,2022-12-10,2018-06-27,233,21.79156479217604,107,3,5,"['metaai', 'researchhuggingface,contributorjquery,pastfacebookresearch', 'uwstudent']",,0.83,18,2,54,0,0,1,1,18.0,12.0,90.0,0.7,3572,51.54595
+352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5093,412,66,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2022-12-18,2022-12-16,2019-08-09,175,29.031758957654723,109,1,5,['activeloop'],,23.83,202,178,41,0,47,30,47,202.0,254.0,90.0,1.3,242,57.54266
+161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5078,387,38,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2022-12-18,2022-12-17,2017-03-24,299,16.958969465648856,135,2,5,"['crowdflower.com', 'weightsandbiases']",,11.27,692,325,70,0,26,21,26,692.0,1398.0,90.0,2.0,363,63.31971
+301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5073,978,188,[],Python,,kaggle-api: Official Kaggle API,kaggle,2022-12-18,2021-03-15,2018-01-25,255,19.849636668529904,36,1,5,['google'],,0.0,37,7,60,21,0,0,0,37.0,41.0,90.0,1.1,27,28.9492
+81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5056,1812,140,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2022-12-18,2022-12-16,2015-01-02,415,12.170563961485557,759,3,5,"['beproud', 'fzjülich', 'timeintermedia(timedia)']",,13.21,1262,297,97,0,15,31,15,1262.0,578.0,90.0,0.5,18396,74.03639
+279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5037,379,91,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2022-12-17,2022-10-18,2017-07-06,284,17.700301204819276,108,3,5,"['netflix', 'noteable-io', 'willingconsulting']",,0.77,36,19,66,2,0,14,14,36.0,56.0,90.0,1.6,106,50.18257
+214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,5021,974,110,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2022-12-18,2022-12-12,2020-04-28,137,36.42176165803109,194,4,5,"['jpmorganchase', 'mit', 'samsung', 'universityofmontreal']",,17.15,271,185,32,0,3,3,3,271.0,521.0,90.0,1.9,1683,63.76976
+404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5017,290,88,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2022-12-18,2022-12-13,2017-01-16,309,16.236245954692556,138,2,5,"['elastic', 'hudsonrivertrading']",,6.5,128,97,72,0,0,4,4,128.0,226.0,90.0,1.8,503,57.8996
+605,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,4989,389,76,[],CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2022-12-18,2022-09-28,2020-02-19,147,33.774661508704064,11,4,5,"['applemontechnologies', 'christianclauss', 'clearcalcs', 'rjc-development']",,0.98,19,5,34,3,3,3,3,19.0,20.0,90.0,1.1,13,34.90596
+686,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,PyPDF2,4988,1143,139,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",Python,https://pypdf2.readthedocs.io/en/latest/,"PyPDF2: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2022-12-18,2022-12-17,2012-01-06,571,8.729,160,1,5,['popsql'],,12.06,157,121,133,0,47,6,47,157.0,492.0,90.0,3.1,628,63.817
+652,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,4954,217,52,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2022-12-18,2022-12-05,2014-03-13,457,10.826724945363722,47,4,5,"['datadog,formerlyllnl', 'flycode-org', 'jpmorgan', 'nordprojects']",,1.92,47,39,107,0,0,6,6,47.0,51.0,90.0,1.1,30,49.90106
+471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,4944,470,51,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2022-12-18,2022-12-17,2021-05-18,82,59.66896551724138,33,2,5,"['microsoftazure', 'xd2sketch']",,1.02,48,30,19,0,1,5,1,48.0,42.0,90.0,0.9,15,37.66943
+552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,4927,1821,51,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2022-12-18,2022-12-13,2020-06-14,131,37.569716775599126,127,3,5,"['open-mmlab,shanghaiailaboratory', 'openmmlab', 'ucsd']",,4.42,403,300,31,0,16,14,16,403.0,797.0,90.0,2.0,229,59.1407
+15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,4891,330,81,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2022-12-18,2022-12-13,2017-07-18,282,17.29141414141414,52,3,5,"['aeolusrobotics', 'ottogroupbi', 'quansight-labs']",,1.06,40,32,66,0,2,3,2,40.0,92.0,90.0,2.3,14,46.17694
+569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4841,852,123,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2022-12-17,2022-09-23,2016-03-01,354,13.642109500805153,22,1,5,['medicaluniversitygraz'],,0.17,1,0,83,3,0,3,3,1.0,1.0,90.0,1.0,68,33.28478
+169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4825,753,138,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2022-12-18,2020-07-14,2017-08-07,280,17.232142857142858,19,2,5,"['buzzfeed', 'valohai']",,0.0,10,6,65,30,0,2,2,10.0,4.0,90.0,0.4,4,24.79389
+784,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,4801,521,73,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2022-12-18,2022-09-21,2022-09-06,14,323.1442307692308,1,1,5,['universityofchicago'],,0.6,100,13,3,3,0,0,0,100.0,234.0,90.0,2.3,15,21.16343
+661,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4793,5176,172,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2022-12-18,2022-10-03,2018-09-04,223,21.410976388002553,97,3,5,"['bardeen', 'lumafield', 'udacity']",,0.08,3,1,52,3,0,0,0,3.0,0.0,90.0,0.0,1469,40.45056
+380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4781,510,125,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2022-12-18,2022-07-17,2020-08-31,120,39.84166666666667,8,1,5,['cognitifai'],,0.04,6,4,28,5,1,7,1,6.0,9.0,90.0,1.5,0,20.98298
+223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,4763,673,82,[],Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2022-12-18,2022-01-28,2021-03-13,92,51.61145510835913,23,0,5,[],,0.08,13,2,22,11,0,0,0,13.0,12.0,90.0,0.9,7,19.53991
+181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,4744,493,62,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2022-12-18,2022-10-28,2018-04-26,242,19.557126030624264,160,2,5,"['redhat,inc', 'securesauce']",,2.08,31,10,57,2,3,8,3,31.0,49.0,90.0,1.6,1216,51.92544
+642,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4742,685,119,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2022-12-18,2022-12-13,2009-10-02,689,6.878159966846249,131,2,5,"['llnl', 'tableau&salesforce']",,0.88,37,36,161,0,0,3,3,37.0,41.0,90.0,1.1,2936,56.665
+687,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4741,319,59,[],Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2022-12-18,2022-12-02,2015-04-22,399,11.860972122944961,52,0,5,[],,0.02,28,7,93,1,0,3,3,28.0,26.0,90.0,0.9,27,35.38096
+513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4722,604,126,[],Python,,apscheduler: Task scheduling library for Python,agronholm,2022-12-18,2022-12-14,2016-03-27,351,13.447518307567128,37,1,5,['nextdaysolutionsoy'],,2.81,25,16,82,0,0,8,8,25.0,53.0,90.0,2.1,713,51.27874
+265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4690,512,93,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2022-12-18,2022-11-08,2014-10-12,427,10.979933110367893,75,3,5,"['caretechowl,fhbielefeld', 'jrc-stu', 'twitter']",,0.65,8,5,100,1,2,6,2,8.0,7.0,90.0,0.9,143,45.58958
+213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4625,267,61,[],Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2022-12-16,2022-12-05,2021-06-09,79,58.01971326164875,26,2,5,"['facebookresearch', 'omnilib']",,1.02,1,0,19,0,1,4,1,1.0,0.0,90.0,0.0,106,33.13565
+551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4578,1326,83,[],Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2022-12-18,2022-12-14,2018-08-22,225,20.282278481012657,237,3,5,"['mmlab,ntu', 'open-mmlab', 'ucsd']",,5.75,283,219,53,0,18,23,18,283.0,368.0,90.0,1.3,41,58.07361
+830,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4546,319,58,"['python', 'boilerplate', 'classes', 'oop', 'attributes', 'srp']",Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2022-12-18,2022-12-18,2015-01-27,411,11.037807839056539,137,2,5,"['pocketzworld', 'variomediaag']",,4.12,61,44,96,0,3,3,3,61.0,133.0,90.0,2.2,1224,58.64417
+783,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,4525,221,85,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",Python,,dream-textures: Stable Diffusion built-in to the Blender shader editor,carson-katri,2022-12-18,2022-12-15,2022-09-08,14,310.53921568627453,7,2,5,"['blastframe', 'blenderdiplom']",,2.1,352,214,3,0,9,36,9,352.0,1050.0,90.0,3.0,5,37.42735
+247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4512,325,61,[],Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2022-12-16,2020-07-10,2015-01-21,412,10.932502596053999,39,2,5,"['freelancer,upforhire', 'infiniteforksl']",,0.0,6,0,96,30,0,1,1,6.0,3.0,90.0,0.5,53,29.83306
+97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4489,448,77,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2022-12-18,2022-12-13,2018-08-21,225,19.87539531941809,63,2,5,"['maartenbreddels', 'quantstack']",,2.63,114,64,53,0,14,29,14,114.0,285.0,90.0,2.5,77,52.98083
+312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4430,190,59,[],Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2022-12-17,2022-11-20,2018-12-18,208,21.210670314637483,53,2,5,"['franklin-ai', 'isaadvisers']",,27.5,40,6,49,0,11,88,11,40.0,47.0,90.0,1.2,59,50.74155
+66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4389,950,72,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2022-12-18,2022-12-17,2015-12-09,366,11.968445656408258,503,2,5,"['azavea', 'channable']",,36.04,722,471,86,0,28,24,28,722.0,2451.0,90.0,3.4,17832,78.20634
+206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4366,328,76,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2022-12-18,2022-03-13,2021-01-17,100,43.59771754636234,14,1,5,['adalab'],,0.04,1,0,23,9,2,35,2,1.0,1.0,90.0,1.0,37,24.99936
+196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4329,338,86,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2022-12-18,2022-05-21,2020-01-08,153,28.162639405204462,20,1,5,['ponder-org'],,0.35,6,0,36,7,2,4,2,6.0,11.0,90.0,1.8,0,23.75284
+21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4315,898,165,[],Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2022-12-08,2021-05-18,2017-07-07,284,15.170768458061275,12,3,5,"['facebookresearch', 'hewlett-packardenterprise', 'mitnlp']",,0.0,2,1,66,19,0,0,0,2.0,0.0,90.0,0.0,90,26.17873
+570,util,https://github.com/jd/tenacity,,,,jd/tenacity,tenacity,4313,217,43,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2022-12-18,2022-12-16,2016-08-11,331,13.007755277897457,74,2,5,"['mergifyio', 'waymo']",,0.17,24,7,77,0,0,9,9,24.0,27.0,90.0,1.1,502,50.34312
+603,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,4300,397,63,"['weak-supervision', 'machine-learning', 'confident-learning', 'robust-machine-learning', 'learning-with-confident-examples', 'learning-with-noisy-labels', 'noisy-data', 'data-cleaning', 'audio-classification', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'image-classification', 'label-errors', 'noisy-labels', 'text-classification', 'data-centric-ai', 'data-centric-machine-learning']",Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2022-12-18,2022-12-17,2018-05-11,240,17.88472964943553,24,3,5,"['cleanlab', 'cleanlab|mit', 'mitcsail']",,8.31,170,135,56,0,4,1,4,170.0,164.0,90.0,1.0,228,51.91166
+896,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,4291,165,57,[],Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2022-12-18,2022-12-16,2022-11-16,4,910.2121212121212,6,2,5,"['christianclauss', 'google']",,0.17,74,17,1,0,1,12,1,74.0,192.0,90.0,2.6,0,24.38378
+717,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4203,570,141,[],Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2022-12-17,2022-12-10,2011-03-28,612,6.867647058823529,118,4,5,"['2xlibre.netsàrl', 'buser', 'http://www.lukelee.me', 'nordsoftware']",,0.31,9,8,143,0,3,4,3,9.0,12.0,90.0,1.3,117,50.9936
+101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4183,796,121,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2022-12-18,2022-12-18,2014-08-14,435,9.603476549688422,91,2,5,"['coiled', 'lightning-ai,universityofwisconsin-madison']",,4.75,46,35,102,0,2,3,2,46.0,66.0,90.0,1.4,37,49.56181
+764,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4171,864,85,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2022-12-18,2022-11-06,2018-04-19,243,17.12434017595308,18,4,5,"['msft', 'tencent', 'um&siat', 'whut']",,1.02,30,6,57,1,4,7,4,30.0,16.0,90.0,0.5,0,33.79657
+734,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4142,562,59,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2022-12-17,2022-12-10,2017-11-23,264,15.655507559395248,183,5,5,"['bimsbbioinfopytorch-ignite', 'cision', 'pytorch-ignitemichelin', 'quansight', 'sharechat']",,3.77,111,94,62,0,3,4,3,111.0,203.0,90.0,1.8,529,60.51595
+370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4122,434,69,[],Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2022-12-18,2022-12-16,2021-02-25,94,43.586102719033235,121,2,5,"['facebook', 'meta']",,4.67,31,19,22,0,1,1,1,31.0,48.0,90.0,1.5,118,47.46478
+293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4103,246,82,[],Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2022-12-18,2022-11-03,2013-09-13,483,8.487293144208039,74,4,5,"['coiled', 'formerlyquantopian', 'google', 'lynkertechnologies']",,0.29,15,7,113,2,1,3,1,15.0,27.0,90.0,1.8,90,46.22583
+27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4016,258,55,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2022-12-18,2022-12-16,2015-03-18,404,9.923049770561242,87,2,5,"['google', 'googledart-langflutter']",,12.4,56,41,94,0,0,21,21,56.0,45.0,90.0,0.8,2154,60.4968
+542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,4000,230,39,[],C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2022-12-18,2022-12-14,2019-03-05,197,20.216606498194945,101,2,5,"['prefix.devgmbh', 'quantstack']",,10.98,449,227,46,0,14,50,14,449.0,1062.0,90.0,2.4,0,49.83509
+565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,3963,734,121,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2022-12-18,2022-12-18,2016-07-24,334,11.860196665241556,73,2,5,"['aaltouniversity', 'universityofsoutherncalifornia']",,2.94,51,49,78,0,0,8,8,51.0,88.0,90.0,1.7,93,52.04712
+227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,3958,437,82,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2022-12-18,2022-12-15,2019-01-24,203,19.44280701754386,89,5,5,"['carbonfact', 'manomano', 'phdcandidateatuniversityofsãopaulo', 'universityofwaikato', 'volvo-cars']",,5.13,60,55,47,0,6,7,6,60.0,155.0,90.0,2.6,2,50.30314
+258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,3917,1232,119,[],Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2022-12-18,2022-12-18,2016-04-14,348,11.237295081967213,218,2,5,"['ethereum', 'ethereumfoundation']",,5.88,149,122,81,0,0,28,28,149.0,174.0,90.0,1.2,547,61.69142
+549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,3869,698,83,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2022-12-18,2022-11-30,2019-08-23,173,22.308896210873147,64,3,5,"['cuhk', 'nanyangtechnologicaluniversity', 'universityofalberta']",,3.6,461,389,40,1,12,6,12,460.0,452.0,90.0,1.0,1643,57.49587
+13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3866,538,101,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2022-12-18,2022-12-05,2016-05-18,343,11.247714048212801,110,2,5,"['rotationalio', 'rotationallabs']",,0.65,13,9,80,0,2,4,2,13.0,25.0,90.0,1.9,57,47.20525
+362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,3857,519,82,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2022-12-18,2022-12-18,2019-06-10,184,20.96195652173913,62,2,5,"['allegroai', 'techlearnersincallegroai']",,1.46,114,39,43,0,22,36,22,114.0,249.0,90.0,2.2,22,49.63001
+43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3833,303,64,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2022-12-18,2022-12-17,2016-09-09,327,11.706369982547994,112,2,5,"['extendi', 'roskomsvoboda']",,3.96,46,32,76,0,9,9,9,46.0,56.0,90.0,1.2,100,52.63675
+184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,3821,444,74,['jax'],Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2022-12-18,2022-12-17,2020-01-10,153,24.904096834264433,183,1,5,['google'],,10.9,289,218,36,0,12,7,12,289.0,489.0,90.0,1.7,588,58.74947
+355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,3820,714,74,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2022-12-17,2022-12-18,2018-12-10,210,18.19047619047619,179,3,5,"['gojekindonesia', 'tecton', 'tectonai']",,15.31,271,156,49,0,31,31,31,271.0,434.0,90.0,1.6,4,55.68404
+376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,3802,153,46,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2022-12-18,2022-12-08,2021-07-06,75,50.120527306967986,24,3,5,"['b3ta', 'myr', 'spotify']",,6.35,36,23,18,0,30,24,30,36.0,38.0,90.0,1.1,16,45.11291
+199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3769,318,69,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2022-12-17,2022-11-04,2019-07-15,179,21.05586592178771,29,0,5,[],,1.65,23,11,42,1,12,40,12,23.0,18.0,90.0,0.8,253,39.49359
+343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,3763,235,61,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2022-12-18,2022-12-17,2020-05-19,134,27.903601694915253,70,0,5,[],,3.58,97,46,31,0,6,10,6,97.0,173.0,90.0,1.8,22,42.15851
+753,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,3754,259,151,[],Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2022-12-18,2022-11-21,2022-09-08,14,257.62745098039215,2,0,5,[],,0.17,13,5,3,1,0,0,0,13.0,18.0,90.0,1.4,0,11.77752
+388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3690,420,39,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2022-12-17,2022-07-07,2019-03-21,195,18.867786705624543,33,4,5,"['clevertech', 'cresta', 'toyotaconnected', 'truefoundry']",,0.37,11,1,46,5,2,7,2,11.0,6.0,90.0,0.5,2,31.06954
+855,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3684,363,75,[],Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2022-12-17,2022-12-06,2011-10-14,583,6.314397649363369,101,2,5,"['cardiologs', 'google']",,0.73,21,14,136,0,0,4,4,21.0,23.0,90.0,1.1,225,50.60987
+357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3680,891,245,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2022-12-18,2022-12-15,2019-05-14,187,19.5893536121673,215,2,5,"['databricksamundsen-ioapache', 'lyft']",,3.73,270,253,44,0,48,33,48,270.0,147.0,90.0,0.5,16,52.59996
+822,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3663,698,89,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2022-12-18,2022-12-18,2019-10-11,166,22.00944206008584,131,2,5,"[""king'scollegelondon"", 'nvidia']",,14.46,573,466,39,0,5,22,5,572.0,1388.0,90.0,2.4,151,58.62208
+91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3644,579,76,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2022-12-18,2022-12-12,2019-07-09,179,20.260524225575853,48,3,5,"['spotify', 'toyotaresearchinstitute', 'uber']",,1.48,45,19,42,0,5,3,5,45.0,45.0,90.0,1.0,19,44.54986
+354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3635,390,213,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2022-12-17,2022-12-16,2019-08-27,172,21.02892561983471,95,2,5,"['facebook', 'meta']",,2.1,87,45,40,0,1,2,1,87.0,170.0,90.0,2.0,444,51.6051
+762,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3617,815,175,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2022-12-18,2022-12-16,2017-12-14,261,13.82796286182414,179,2,5,"['dukeuniversity', 'google']",,15.63,119,76,61,0,4,5,4,119.0,178.0,90.0,1.5,1234,60.47867
+58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3608,730,192,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2022-12-18,2022-12-16,2013-09-30,481,7.501039501039501,155,0,5,[],,8.71,128,83,112,0,2,2,2,128.0,194.0,90.0,1.5,523,52.9106
+793,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3589,212,36,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",TypeScript,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2022-12-18,2022-12-15,2020-05-21,134,26.669851380042463,31,2,5,"['orchest', 'orchest.io']",,82.5,254,225,31,0,99,75,99,254.0,203.0,90.0,0.8,757,58.83738
+423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3566,523,99,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",Python,,RPA-Python: Python package for doing RPA,tebelorg,2022-12-16,2022-09-07,2019-03-30,194,18.354411764705883,3,1,5,['universityofappliedtrialanderror'],,1.17,25,13,45,3,3,13,3,25.0,38.0,90.0,1.5,8,28.91587
+209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3563,319,45,['pywebio'],Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2022-12-18,2022-11-26,2020-02-29,146,24.3564453125,15,1,5,['christianclauss'],,1.71,27,3,34,1,0,10,10,27.0,21.0,90.0,0.8,6,33.30083
+309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3530,645,61,"['solidity', 'ethereum', 'static-analysis']",Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2022-12-17,2022-11-28,2018-09-05,223,15.77905491698595,96,1,5,['trailofbits'],,6.79,193,90,52,1,3,7,3,193.0,305.0,90.0,1.6,369,51.45896
+616,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3510,243,34,[],Python,,freezegun: Let your Python tests travel through time,spulec,2022-12-18,2022-08-12,2012-12-11,522,6.713114754098361,106,5,5,"['dryft-technologies', 'nordsoftware', 'pioneervalleybooks', 'policystat', 'yipitdata']",,0.33,22,1,122,4,0,5,5,22.0,15.0,90.0,0.7,692,49.82397
+770,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3501,164,40,"['awesome', 'database', 'spreadsheet']",TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2022-12-18,2022-12-12,2020-05-22,134,26.043570669500532,20,1,5,['gristlabs'],,10.13,117,58,31,0,8,5,8,117.0,253.0,90.0,2.2,11,43.84005
+442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3496,1955,169,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2022-12-18,2022-12-17,2012-10-09,531,6.573193661026054,506,3,5,"['cadcorp', 'google', 'spatialys']",,47.69,625,575,124,0,9,14,9,625.0,665.0,90.0,1.1,6036,74.09368
+280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3488,455,45,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2022-12-18,2022-12-06,2020-09-22,116,29.848410757946212,15,5,5,"['ada', 'expedock', 'iknl', 'mustanganalytics', 'scitedotai']",,0.44,221,136,27,0,3,11,3,221.0,544.0,90.0,2.5,0,40.16454
+287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3462,774,107,[],Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2022-12-18,2022-12-10,2013-06-27,494,7.0,183,2,5,"['planetlabs', 'udl-ai']",,3.08,204,93,115,0,5,3,5,204.0,443.0,90.0,2.2,243,58.6562
+778,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3456,516,77,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2022-12-18,2022-12-16,2020-08-31,120,28.8,4,2,5,"['huggingface', 'roboflow']",,2.33,63,25,28,0,0,0,0,63.0,92.0,90.0,1.5,0,29.1555
+782,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3428,204,33,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2022-12-18,2022-08-17,2022-06-30,24,139.51162790697674,6,2,5,"['jina-ai', 'jinaai']",,7.21,14,0,6,4,110,241,110,14.0,19.0,90.0,1.4,8,30.58344
+754,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,3406,309,80,[],Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2022-12-18,2020-04-18,2020-04-13,140,24.32857142857143,2,1,5,['enscognitique'],,0.0,8,4,33,32,0,0,0,8.0,4.0,90.0,0.5,0,10.85839
+757,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3396,165,49,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2022-12-18,2022-12-17,2017-05-31,289,11.721893491124261,20,3,5,"['datadog', 'douban', 'mongodb']",,10.4,164,126,68,0,82,15,82,164.0,303.0,90.0,1.8,205,56.4194
+462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3387,116,74,[],Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2022-12-17,2022-10-25,2012-08-24,538,6.290527991509684,18,2,5,"['elementalcognition', 'luminoso']",,0.37,2,1,126,2,0,13,13,2.0,0.0,90.0,0.0,3,31.5632
+200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3380,286,65,[],Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2022-12-18,2022-12-16,2020-10-30,111,30.333333333333332,77,1,5,['huggingface'],,7.46,287,250,26,0,15,11,15,287.0,733.0,90.0,2.6,1206,57.99184
+790,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3366,280,79,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2022-12-18,2022-12-17,2022-10-06,10,318.4054054054054,6,2,5,"['ctcmedia', 'pekinguniversity']",,1.12,114,54,2,0,0,0,0,114.0,317.0,90.0,2.8,10,30.74917
+368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3346,332,57,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2022-12-18,2022-08-06,2020-06-10,131,25.40347071583514,8,3,5,"['amazon', 'clinicalmlallenai', 'factminers']",,0.31,16,2,31,4,2,4,2,16.0,20.0,90.0,1.2,0,25.90676
+833,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3320,877,128,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2022-12-18,2022-12-18,2016-08-20,330,10.051903114186851,877,2,5,"['chickadee-tech', 'unpythonicnetworks']",,37.1,622,448,77,0,31,37,31,622.0,1458.0,90.0,2.3,5191,75.94935
+421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3311,498,146,[],Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2022-12-13,2022-12-16,2017-07-27,281,11.75900558092339,151,2,5,"['banditml', 'cornell']",,2.08,22,15,66,0,0,0,0,22.0,36.0,90.0,1.6,587,51.06759
+897,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3278,184,65,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2022-12-16,2022-11-29,2017-04-24,295,11.111864406779661,99,1,5,['kreuzwerker'],,2.85,40,22,69,1,3,2,3,40.0,67.0,90.0,1.7,34,44.93393
+4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3257,562,57,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2022-12-16,2022-12-16,2019-02-26,198,16.378591954022987,121,3,5,"['amazonwebservices', 'aws', 'vtex']",,5.17,328,297,46,0,14,26,14,328.0,1279.0,90.0,3.9,0,52.13058
+321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3247,433,57,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2022-12-18,2022-12-05,2014-11-20,421,7.702134869535751,97,1,5,['beeper'],,1.46,66,46,98,0,7,6,7,66.0,194.0,90.0,2.9,43,50.70661
+663,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3225,610,102,"['cython', 'python', 'zeromq']",Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2022-12-17,2022-12-13,2010-07-21,647,4.979047198941332,187,4,5,"['amazonwebservices', 'microsoft', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']",,3.42,60,48,151,0,0,6,6,60.0,63.0,90.0,1.1,604,60.29066
+895,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3224,652,69,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2022-12-17,2022-12-17,2019-05-15,187,17.17503805175038,98,3,5,"['amazon', 'awsawsawslabs', 'awslabs']",,5.65,176,121,44,0,27,19,27,176.0,224.0,90.0,1.3,0,48.36929
+208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3222,763,145,[],Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2022-12-14,2021-06-10,2021-05-08,84,38.227118644067794,19,1,5,['mazette!'],,0.0,2,0,20,19,0,0,0,2.0,0.0,90.0,0.0,0,12.55493
+93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3218,668,113,[],C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2022-12-13,2022-11-23,2011-10-09,584,5.508926387869895,352,3,5,"['20tabsrl', 'menodizero.it', 'unbit']",,0.52,67,33,136,1,0,11,11,67.0,85.0,90.0,1.3,1403,60.09838
+361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3216,316,77,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",Python,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2022-12-17,2022-11-11,2016-12-26,312,10.307692307692308,98,0,5,[],,5.58,6,0,73,1,0,25,25,6.0,0.0,90.0,0.0,111,40.37993
+319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3185,390,119,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2022-12-18,2022-11-23,2014-03-20,456,6.975907384230288,56,2,5,"['europeanspallationsourceeric', 'imtssrl']",,0.71,24,21,106,1,0,3,3,24.0,42.0,90.0,1.8,471,49.47621
+557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3163,587,63,"['jupyter', 'sphinx-doc', 'documentation-generator']",Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2022-12-18,2022-12-09,2018-06-14,235,13.426925409338994,118,3,5,"['imperialcollegelondon', 'stanforduniversity', 'ucberkeley']",,1.63,107,37,55,0,4,8,4,107.0,197.0,90.0,1.8,139,53.37326
+99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3161,618,82,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2022-12-18,2022-12-13,2016-04-08,349,9.04619787408013,40,2,5,"['softlandia-ltd', 'xperience.ai']",,0.75,50,30,82,0,6,10,6,50.0,105.0,90.0,2.1,1469,53.87962
+804,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3151,512,63,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2022-12-18,2022-12-08,2015-07-15,387,8.127118644067796,61,1,5,['untienots'],,1.19,51,43,90,0,0,12,12,51.0,105.0,90.0,2.1,285,52.06525
+250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3133,724,88,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2022-12-17,2022-11-04,2010-12-28,624,5.013946044810242,205,3,5,"['piclo', 'redhat,inc', 'yacademy']",,0.96,32,26,146,2,7,6,7,32.0,57.0,90.0,1.8,986,56.86937
+832,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3118,386,200,[],Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2022-12-17,2019-08-15,2012-10-26,529,5.8893685914732865,65,4,5,"['awsthinkbox', 'coiled', 'formerlyquantopian', 'voltrondata']",,0.0,2,0,124,41,0,5,5,2.0,1.0,90.0,0.5,1860,41.24297
+182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3115,452,40,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest']",Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2022-12-16,2022-12-18,2016-09-17,326,9.546847635726795,26,3,5,"['bloomberglp', 'canonical', 'redhatansible']",,3.0,283,229,76,0,26,25,26,284.0,495.0,90.0,1.7,6182,62.32967
+35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3115,592,121,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2022-12-16,2022-12-18,2013-01-04,519,5.996974697469747,47,1,5,['crunch.io'],,0.79,32,23,121,0,0,15,15,32.0,87.0,90.0,2.7,362,52.52992
+518,util,https://github.com/spack/spack,,,,spack/spack,spack,3102,1796,105,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2022-12-18,2022-12-18,2014-01-08,466,6.646464646464646,1314,3,5,"['llnl', 'np-complete', 'universityofillinoisaturbana-champaign']",,84.79,2517,1844,109,0,6,5,6,2515.0,5597.0,90.0,2.2,1578,77.96856
+443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3100,501,82,[],Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2022-12-18,2022-12-18,2011-12-31,572,5.416874687968048,140,3,5,"['gnsscience', 'nelen&schuurmans', 'planetlabs']",,3.21,221,143,134,0,14,9,14,221.0,488.0,90.0,2.2,135,60.42615
+0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3091,613,93,[],Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2022-12-18,2022-09-23,2012-04-18,556,5.552219656145753,100,2,5,"['dyte-in,mafalda-sfu', 'pioneervalleybooks']",,0.46,27,4,130,3,0,3,3,27.0,36.0,90.0,1.3,2598,50.66783
+260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3079,789,76,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2022-12-17,2022-12-09,2010-05-29,655,4.698713756267713,164,2,5,"['rangle.io', 'theinterfacefinancialgroup']",,0.62,25,19,153,0,0,4,4,25.0,100.0,90.0,4.0,1745,59.48777
+384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3070,633,74,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2022-12-18,2022-05-22,2019-04-13,192,15.965824665676077,21,2,5,"['buzzfeed', 'universityofnotredame']",,0.06,9,3,45,7,0,5,5,9.0,7.0,90.0,0.8,0,26.55902
+363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3069,1358,103,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2022-12-18,2022-12-17,2018-05-12,240,12.772294887039239,350,1,5,['google'],,14.87,577,245,56,0,30,28,30,577.0,1161.0,90.0,2.0,3456,67.56538
+140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3059,273,54,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2022-12-18,2022-12-16,2020-08-09,123,24.84106728538283,8,2,5,"['bigtincan', 'neuml']",,7.63,68,57,29,0,11,11,11,68.0,99.0,90.0,1.5,3,40.01085
+138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3043,322,71,"['machine-learning', 'natural-language-processing', 'visualization']",TypeScript,https://pair-code.github.io/lit,lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,pair-code,2022-12-18,2022-12-02,2020-07-28,124,24.371853546910756,27,2,5,"['deepmind', 'google']",,6.96,168,154,29,1,2,3,2,168.0,33.0,90.0,0.2,6,38.02059
+610,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3027,726,119,"['python', 'selenium', 'webdriver', 'selenium-python', 'e2e-testing', 'seleniumbase', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'chrome', 'webkit', 'chromedriver', 'firefox', 'test']",Python,https://seleniumbase.io,SeleniumBase: Python framework for web automation and testing that extends Selenium.,seleniumbase,2022-12-18,2022-12-18,2014-03-04,458,6.596824408468244,35,2,5,"['https://www.iboss.com/', 'nausetconsulting']",,24.38,108,105,107,0,152,86,152,108.0,127.0,90.0,1.2,318,58.30856
+42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3015,240,61,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2022-12-18,2022-09-18,2017-05-05,293,10.275073028237586,13,3,5,"['archlinux', 'sendcloud', 'universityofcambridge']",,0.79,0,0,68,3,3,2,3,0.0,0.0,90.0,0.0,73,32.26121
+336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,2999,481,110,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2022-12-17,2022-12-16,2017-06-30,285,10.507007007007006,143,1,5,['apple'],,2.0,312,236,67,0,5,6,5,312.0,465.0,90.0,1.5,49,51.19711
+698,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,2994,357,63,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2022-12-17,2022-11-25,2010-05-07,658,4.547190279887177,113,2,5,"['inria', 'inriasaclay-parietalteam']",,0.9,50,21,154,1,0,6,6,50.0,81.0,90.0,1.6,1999,55.63788
+348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,2986,325,32,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2022-12-18,2022-12-15,2020-11-25,107,27.721485411140584,31,2,5,"['evidentlyai', 'intento,evidentlyai']",,20.81,186,152,25,0,24,19,24,186.0,203.0,90.0,1.1,16,49.26592
+139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,2985,604,121,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2022-12-17,2022-12-18,2013-03-21,508,5.86938202247191,182,4,5,"['independentsoftwareengineer', 'spacescienceandengineeringcenter(ssec)', 'universityofedinburgh', 'universityofwashington']",,3.31,79,47,119,0,6,3,6,79.0,326.0,90.0,4.1,125,61.27773
+285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,2973,749,246,[],Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2022-12-18,2022-12-14,2018-09-20,221,13.41779497098646,128,2,5,"['ctrl^t', 'oplabs']",,9.48,169,126,52,0,11,16,11,169.0,335.0,90.0,2.0,146,57.49323
+221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,2973,186,44,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2022-12-17,2022-12-14,2021-03-27,90,32.92879746835443,41,1,5,['quantstack'],,15.35,137,71,21,0,22,458,22,137.0,330.0,90.0,2.4,25,49.05449
+272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,2962,449,72,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-18,2022-12-09,2010-08-19,643,4.602441731409545,220,4,5,"['appfolio', 'billy', 'indeed', 'netflix']",,4.02,30,24,150,0,2,12,2,30.0,62.0,90.0,2.1,541,59.96511
+715,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,2930,305,266,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2022-12-18,2022-12-16,2019-10-21,165,17.757575757575758,110,2,5,"['flyteorg', 'unionai']",,5.98,375,172,38,0,31,25,31,376.0,569.0,90.0,1.5,31,54.33504
+381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,2926,183,35,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2022-12-18,2022-12-13,2019-05-31,185,15.779661016949152,48,3,5,"['aimhub', 'aimhubio', 'aimstack']",,13.19,332,236,43,0,45,42,45,332.0,521.0,90.0,1.6,33,55.40027
+623,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2923,133,73,"['functional-programming', 'utilities', 'python']",Python,,funcy: A fancy and practical functional tools,suor,2022-12-17,2022-08-25,2012-10-13,531,5.501747781661737,31,3,5,"['festicket', 'iress', 'obsidian-security']",,0.12,2,0,124,4,0,5,5,2.0,2.0,90.0,1.0,110,39.72755
+77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2921,418,90,[],Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2022-12-18,2020-04-07,2014-09-30,428,6.811125916055962,30,2,5,"['mongodb', 'sundellopensourceconsultingab']",,0.0,3,0,100,33,0,3,3,3.0,2.0,90.0,0.7,18,28.51022
+390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,2908,408,119,[],Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2022-12-18,2022-03-21,2021-12-10,53,54.42780748663102,4,1,5,['texasa&mcenterforappliedtechnology'],,0.04,1,0,12,9,0,0,0,1.0,0.0,90.0,0.0,0,9.03597
+704,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2890,226,48,"['python', 'data-validation']",Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2022-12-17,2021-05-05,2012-10-10,531,5.4352498656636214,62,1,5,['cir2000'],,0.0,9,4,124,20,0,2,2,9.0,9.0,90.0,1.0,144,35.6697
+476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2887,361,95,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2022-12-17,2022-12-16,2015-12-23,364,7.915785350567959,51,3,5,"['anaconda', 'stripe', 'voltrondata']",,1.56,54,41,85,0,4,14,4,54.0,53.0,90.0,1.0,17,46.58995
+660,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2882,655,154,[],C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2022-12-18,2022-12-16,2017-09-29,272,10.578919769271106,332,1,5,['facebook'],,3.33,52,16,64,0,0,0,0,52.0,95.0,90.0,1.8,3085,55.65613
+366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2877,300,53,[],Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2022-12-16,2022-10-12,2020-04-09,140,20.466463414634145,34,3,5,"['google', 'meta', 'mosaicml']",,1.92,9,3,33,2,0,1,1,9.0,9.0,90.0,1.0,429,42.00235
+811,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2874,199,27,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks', 'hacktoberfest']",Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2022-12-17,2022-12-16,2020-01-20,152,18.907894736842106,70,1,5,['ploomber'],,13.5,68,42,35,0,0,36,36,68.0,95.0,90.0,1.4,15,48.61145
+765,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,2832,220,29,"['outpainting', 'stablediffusion']",Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2022-12-18,2022-12-13,2022-09-02,15,183.55555555555554,6,1,5,['cuhk'],,4.29,123,65,4,0,0,9,9,123.0,352.0,90.0,2.9,10,35.96787
+624,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2825,221,35,[],Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2022-12-17,2022-12-05,2012-04-26,555,5.084854718436616,92,3,5,"['mozilla', 'universityofoxford', 'wurlinc']",,1.31,25,22,130,0,3,4,3,25.0,30.0,90.0,1.2,420,53.58365
+761,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2821,756,97,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2022-12-18,2022-12-12,2018-12-12,209,13.451634877384196,155,1,5,['ibm'],,1.4,49,37,49,0,16,21,16,49.0,53.0,90.0,1.1,4225,56.82784
+261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2817,242,45,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2022-12-18,2022-12-10,2021-07-28,72,38.74066797642436,13,2,5,"['salesforce', 'twilio']",,0.92,18,13,17,0,11,11,11,18.0,22.0,90.0,1.2,39,39.13298
+270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2808,345,44,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2022-12-18,2022-12-13,2018-12-21,208,13.472241261137766,166,2,5,"['apollographql', 'strawberry-graphql']",,12.23,350,210,49,0,178,123,178,350.0,691.0,90.0,2.0,90,59.89905
+787,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2806,481,93,[],Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2022-12-18,2022-10-03,2019-02-05,201,13.900920028308564,44,2,5,"['carbon-re', ""o'reillymedia""]",,0.15,3,2,47,3,0,0,0,3.0,2.0,90.0,0.7,6,29.69672
+154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2796,190,53,"['pandas', 'dataframe', 'gui', 'viewer']",Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2022-12-17,2022-03-16,2019-06-12,183,15.219284603421462,13,1,5,['dionresearch'],,0.06,7,1,43,9,0,12,12,7.0,2.0,90.0,0.3,30,28.18837
+792,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2789,184,79,[],Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2022-12-18,2022-12-17,2022-07-15,22,124.35031847133757,18,1,5,['facebook'],,0.56,128,88,5,0,1,2,1,128.0,328.0,90.0,2.6,0,29.81618
+488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2788,857,107,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2022-12-18,2022-12-18,2013-09-30,481,5.796257796257796,407,3,5,"['google', 'mathandstatsdepartment', 'ncar']",,9.54,448,256,112,0,9,8,9,448.0,1120.0,90.0,2.5,1142,69.11638
+729,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,2782,174,21,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2022-12-18,2022-12-17,2021-10-12,61,44.97459584295612,54,2,5,"['mosaicml', ""stanford'22""]",,24.19,357,327,14,0,14,24,14,357.0,326.0,90.0,0.9,21,49.75918
+203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2759,132,48,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2022-12-18,2021-05-06,2021-04-06,88,31.04983922829582,4,0,5,[],,0.0,10,5,21,20,0,6,6,10.0,8.0,90.0,0.8,7,17.14944
+156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,2756,276,40,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2022-12-18,2022-12-08,2020-08-05,123,22.27713625866051,17,2,5,"['facebookairesearch', 'microsoft']",,1.21,26,22,29,0,8,32,8,26.0,57.0,90.0,2.2,4,39.2533
+641,testing,https://github.com/behave/behave,,,,behave/behave,behave,2739,608,120,[],Python,,"behave: BDD, Python style.",behave,2022-12-17,2022-12-10,2011-10-25,581,4.707341026270562,85,2,5,"['painless-software', 'smartsgroupmarketsurveillance,nasdaqomx']",,1.19,62,31,136,0,0,2,2,62.0,99.0,90.0,1.6,391,52.77193
+709,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2733,166,26,"['pandas', 'python', 'parallel']",Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2022-12-18,2022-12-06,2019-03-10,197,13.86304347826087,22,4,5,"['boatboatboat', 'caddi', 'https://www.kiln.fi/', 'swissdatasciencecenter']",,0.87,26,14,46,0,8,10,8,26.0,48.0,90.0,1.8,4,42.39175
+170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2702,363,47,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2022-12-17,2022-12-15,2020-05-04,137,19.722627737226276,34,2,5,"['stanforduniversity', 'technicaluniversityofmunich']",,6.9,314,251,32,0,7,6,7,314.0,588.0,90.0,1.9,19,48.70117
+34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2659,226,44,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2022-12-18,2022-10-28,2020-04-06,141,18.858156028368793,20,2,5,"['aaltouniversity', 'imctrading']",,0.04,3,1,33,2,0,2,2,3.0,3.0,90.0,1.0,29,32.25968
+130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2635,259,85,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2022-12-17,2022-12-16,2014-10-16,426,6.177160080375084,57,2,5,"['explosion&oxykodit', 'founderexplosion']",,3.29,58,50,100,0,11,11,11,58.0,67.0,90.0,1.2,255,53.66351
+113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2630,461,96,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2022-12-12,2021-06-22,2017-07-03,285,9.228070175438596,21,3,5,"['explosion&oxykodit', 'filamentai', 'huggingface']",,0.0,7,2,66,18,0,1,1,7.0,10.0,90.0,1.4,26,31.48861
+111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2618,326,68,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2022-12-18,2020-01-22,2016-09-15,326,8.016622922134733,14,3,5,"['canva', 'zyte', 'zytedata,scrapinghub']",,0.0,7,1,76,35,0,4,4,7.0,4.0,90.0,0.6,13,27.66132
+801,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2593,213,57,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2022-12-18,2022-11-01,2011-06-24,599,4.325786463298379,41,1,5,['sentry'],,0.67,8,7,140,2,3,3,3,8.0,2.0,90.0,0.2,598,41.33771
+85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2572,396,62,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2022-12-16,2021-10-29,2018-04-13,244,10.52250146113384,36,3,5,"['data61', 'exoflare', 'xoflare']",,0.0,12,4,57,14,0,6,6,12.0,9.0,90.0,0.8,177,38.23575
+539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2562,550,52,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2022-12-18,2022-11-21,2019-12-02,159,16.11320754716981,19,1,5,['huawei-noah'],,0.38,23,4,37,1,0,0,0,23.0,20.0,90.0,0.9,2,27.44788
+611,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2559,215,46,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2022-12-17,2022-11-20,2011-05-13,605,4.226757904672015,91,3,5,"['quansight', 'scalableminds', 'scientificcomputing,csuiuc']",,0.96,24,13,141,1,2,6,2,24.0,35.0,90.0,1.5,428,51.26641
+159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2532,514,82,[],Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2022-12-18,2020-10-09,2013-08-20,486,5.200704225352113,23,2,5,"['localkitchens', 'nationalradioastronomyobservatory']",,0.0,10,3,114,27,0,0,0,10.0,10.0,90.0,1.0,81,31.09134
+428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2524,255,33,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2022-12-18,2022-12-14,2014-09-13,431,5.852268963232858,172,3,5,"['bloomberg', 'elastic', 'tableau&salesforce']",,2.38,92,86,101,0,0,10,10,92.0,141.0,90.0,1.5,14344,66.0013
+369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2518,281,51,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2022-12-18,2022-12-07,2019-12-06,158,15.893597835888187,14,5,5,"['bytedance', 'bytedance,ailab', 'bytedanceailab', 'bytedanceantnlp', 'universityofillinoisaturbana-champaign']",,1.25,69,35,37,0,3,4,3,69.0,99.0,90.0,1.4,2,40.1442
+94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2518,310,60,[],Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2022-12-18,2022-07-12,2010-02-25,668,3.766239316239316,116,1,5,"['newfirepartners,mediwareinc,holmusk,unitio-org,urwid']",,0.04,8,2,156,17,0,4,4,8.0,7.0,90.0,0.9,56,36.41909
+433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2506,620,132,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2022-12-17,2022-03-16,2015-01-15,413,6.059412780656304,85,0,5,[],,0.04,17,1,96,9,0,3,3,17.0,32.0,90.0,1.9,118,35.98206
+675,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2500,561,28,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",Jupyter Notebook,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2022-12-18,2022-12-02,2021-09-13,66,37.878787878787875,10,3,5,"['bitly', 'highfalootintechnologycorp.', 'saamaresearch']",,2.15,21,16,15,1,0,0,0,21.0,20.0,90.0,1.0,0,27.5134
+553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2477,295,51,[],Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2022-12-14,2022-12-16,2018-07-30,229,10.816593886462883,86,2,5,"['facebook', 'meta']",,6.17,156,116,53,0,11,7,11,156.0,607.0,90.0,3.9,1061,61.32058
+98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2466,450,119,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2022-12-16,2022-12-15,2014-03-17,457,5.3960612691466086,57,1,5,['xlwings'],,4.27,122,69,107,0,27,16,27,122.0,161.0,90.0,1.3,55,51.82579
+845,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2463,239,51,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2022-12-17,2022-12-18,2019-05-03,189,13.002262443438914,32,1,5,['nvidia'],,4.15,79,58,44,0,3,7,3,79.0,556.0,90.0,7.0,12,46.92848
+431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2438,313,48,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui']",Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2022-12-18,2022-12-18,2018-08-23,225,10.808106396453452,111,3,5,"['anaconda', 'cea', 'data,modelsandanalytics']",,13.71,450,272,53,0,6,103,6,450.0,654.0,90.0,1.5,55,56.87378
+600,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2428,904,96,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2022-12-18,2022-12-05,2020-03-08,145,16.728346456692915,35,4,5,"['christianclauss', 'faoopenforis', 'google', 'universityoftennessee']",,8.23,54,51,34,0,53,47,53,54.0,102.0,90.0,1.9,16,51.27888
+172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2385,120,28,[],TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2022-12-15,2022-12-05,2019-11-08,162,14.683377308707124,8,1,5,['opensourcedevrelfacebook'],,0.48,17,17,38,0,0,13,13,17.0,15.0,90.0,0.9,412,41.35194
+886,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2373,285,90,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",Jupyter Notebook,,deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.,huggingface,2022-12-18,2022-12-18,2022-04-21,34,68.64049586776859,35,1,5,['huggingface'],,7.21,63,43,8,0,0,0,0,63.0,113.0,90.0,1.8,5,35.34288
+708,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2372,313,42,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2022-12-17,2022-12-14,2018-11-05,215,11.032558139534883,20,3,5,"['bitspilanihyderabadcampus', 'mljar', 'otterclamfinance']",,0.44,32,10,50,0,3,12,3,32.0,82.0,90.0,2.6,49,44.4732
+174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2351,91,33,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2022-12-18,2022-07-14,2017-06-01,289,8.118894918598915,19,2,5,"['pyupio', 'totango']",,1.31,2,0,68,5,0,5,5,2.0,0.0,90.0,0.0,6,28.52875
+129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2341,364,63,"['holoviz', 'holoviews', 'plotting']",Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2022-12-17,2022-12-18,2014-05-07,449,5.205527318932655,126,1,5,['anaconda'],,2.62,237,108,105,0,6,41,6,237.0,294.0,90.0,1.2,40,50.91025
+136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2339,326,39,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2022-12-18,2022-04-03,2020-03-20,143,16.30776892430279,2,0,5,[],,0.17,53,37,33,9,1,8,1,53.0,46.0,90.0,0.9,21,21.07462
+858,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2339,154,43,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2022-12-17,2022-11-24,2015-11-16,370,6.321621621621621,41,4,5,"['ibmcodait', 'quantstack', 'simularesearchlaboratory', 'willingconsulting']",,0.1,29,7,86,1,0,9,9,29.0,29.0,90.0,1.0,402,49.2315
+809,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2323,239,33,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2022-12-18,2022-11-04,2019-10-05,167,13.886421861656704,53,3,5,"['beemydesk', 'fitctuinprague', 'quantstack']",,2.96,19,19,39,1,32,28,32,19.0,20.0,90.0,1.1,134,49.4776
+875,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2319,949,119,"['parallel', 'jupyter', 'python']",Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2022-12-18,2022-11-22,2015-04-09,401,5.774813233724653,112,4,5,"['amazonwebservices', 'ardoq', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']",,2.29,19,16,94,1,0,7,7,19.0,9.0,90.0,0.5,318,52.2495
+51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2305,331,28,[],Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2022-12-18,2022-12-18,2018-06-23,234,9.838414634146341,142,2,5,"['freelancer,upforhire', 'shoobx']",,8.65,134,89,55,0,13,24,13,134.0,400.0,90.0,3.0,9969,66.43243
+691,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2304,401,53,"['text2image', 'text-to-image']",Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2022-12-18,2022-10-02,2021-07-02,76,30.145794392523364,7,2,5,"['azéotropecanada', 'censys']",,0.1,2,2,18,3,0,0,0,2.0,2.0,90.0,1.0,0,19.57784
+296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2300,715,161,[],Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2022-12-17,2022-11-17,2016-04-24,347,6.625514403292181,33,2,5,"['millionintegrals', 'openai']",,0.02,33,4,81,1,0,1,1,33.0,23.0,90.0,0.7,34,37.68593
+246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2295,83,32,[],Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2022-12-17,2022-11-23,2021-03-01,94,24.414893617021278,1035,4,5,"['fzjülich', 'keepertech', 'microsoft', 'mutableminds']",,5.1,22,10,22,1,4,261,4,22.0,30.0,90.0,1.4,9,50.685
+866,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,2287,203,40,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",Python,https://www.mage.ai/,mage-ai: 🧙 A modern replacement for Airflow.,mage-ai,2022-12-18,2022-12-18,2022-05-16,31,73.7741935483871,19,1,5,['mage'],,37.4,525,488,7,0,0,0,0,525.0,134.0,90.0,0.3,18,37.98631
+696,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2285,192,37,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2022-12-18,2022-12-09,2020-02-18,147,15.454106280193237,68,2,5,"['deepmind', 'openai']",,2.69,64,39,34,0,4,4,4,64.0,40.0,90.0,0.6,34,44.70434
+814,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2282,159,13,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",Python,https://docs.deepchecks.com,deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2022-12-18,2022-12-12,2021-10-11,62,36.806451612903224,37,2,5,"['deepchecks', 'starnavi']",,17.17,255,169,14,0,35,42,35,255.0,269.0,90.0,1.1,5,46.64
+145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2269,419,62,[],C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2022-12-18,2022-04-16,2017-07-06,284,7.973393574297189,56,1,5,['twittercortex'],,0.25,18,6,66,8,2,1,2,18.0,27.0,90.0,1.5,24,34.87223
+735,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2231,375,77,"['python', 'impala', 'pandas', 'spark', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'sqlalchemy', 'pyarrow', 'arrow', 'mssql', 'polars']",Python,http://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2022-12-18,2022-12-18,2015-04-17,400,5.5715305030324656,121,2,5,"['voltron-data/ursa-computing', 'voltrondata']",,43.25,565,501,93,0,7,5,7,565.0,1237.0,90.0,2.2,428,64.44805
+308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2218,402,58,"['cryptography', 'security', 'python']",C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2022-12-18,2022-12-14,2014-05-02,450,4.924199175388519,130,2,5,"['aitaustrianinstituteoftechnology', 'cisco']",,2.35,75,64,105,0,2,12,2,75.0,126.0,90.0,1.7,1485,57.50221
+253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2172,331,39,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2022-12-18,2022-12-18,2020-08-20,121,17.866039952996474,59,3,5,"['microsoft', 'pennsylvaniastateuniversity', 'stevensinstituteoftechnology']",,5.04,138,85,28,0,22,21,22,138.0,225.0,90.0,1.6,11,50.02551
+710,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2161,98,28,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2022-12-16,2022-08-16,2018-04-07,245,8.810133954571928,17,2,5,"['freshrelevance', 'manifoldai']",,0.62,5,1,57,4,0,17,17,5.0,4.0,90.0,0.8,9,33.70657
+617,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2133,312,82,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2022-12-17,2022-12-10,2015-03-15,405,5.264809590973202,121,2,5,"['lowatt', 'redhatansible']",,0.54,16,10,94,0,5,10,5,16.0,18.0,90.0,1.1,123,49.16978
+807,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2129,356,84,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2022-12-13,2019-04-05,2018-01-10,257,8.26108647450111,11,2,5,"['aarhusuni', 'myntradesignspvtltd']",,0.0,4,0,60,45,0,0,0,4.0,3.0,90.0,0.8,20,22.01172
+503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2093,892,204,[],JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2022-12-17,2022-12-13,2015-04-22,399,5.236240171551108,36,1,5,['google'],,0.0,7,1,93,0,0,32,32,7.0,5.0,90.0,0.7,9,38.69874
+878,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2070,119,19,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'mstl', 'theta', 'automl', 'data-science']",Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2022-12-18,2022-12-16,2021-11-24,55,37.15384615384615,16,2,5,"['nixtla', 'nubank']",,16.48,124,103,13,0,22,23,22,124.0,148.0,90.0,1.2,28,46.08455
+222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2060,411,41,"['python', 'dynamodb', 'aws']",Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2022-12-15,2022-12-13,2014-01-20,465,4.43010752688172,100,2,5,"['lyft', 'openeyescientificsoftware']",,0.87,114,93,108,0,10,10,10,114.0,177.0,90.0,1.6,72,53.1558
+268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2059,213,40,"['jupyterlab', 'jupyter', 'jupyter-notebook']",TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2022-12-18,2022-12-12,2017-05-04,293,7.013625304136253,33,2,5,"['fermiumlabssrl(fermiumlabs)', 'netflix']",,3.94,66,45,68,0,9,4,9,66.0,99.0,90.0,1.5,2,43.75421
+867,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2055,35,15,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2022-12-18,2022-12-17,2022-07-27,20,99.20689655172414,8,3,5,"['grupoboticario', 'hotjar', 'resgroup']",,3.46,153,139,5,0,8,34,8,153.0,162.0,90.0,1.1,5,36.98689
+198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2053,253,37,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2022-12-17,2022-12-02,2020-04-29,137,14.907676348547717,35,2,5,"['helsing', 'maif']",,4.9,34,30,32,1,8,9,8,34.0,15.0,90.0,0.4,12,39.9646
+724,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2051,343,19,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'research', 'experiments', 'reproducibility', 'experiment-tracking', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2022-12-18,2022-12-18,2020-11-04,110,18.52516129032258,26,1,5,['hunanuniversity'],,2.81,46,38,26,0,2,3,2,46.0,49.0,90.0,1.1,7,36.89525
+860,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2035,530,92,"['jupyter', 'jupyter-notebook', 'nbconvert']",Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2022-12-10,2022-11-07,2012-08-05,541,3.760559662090813,92,4,5,"['noteable-io', 'quansight-labs', 'simularesearchlaboratory', 'wearethorn']",,1.25,22,14,126,1,0,0,0,22.0,21.0,90.0,1.0,240,48.67448
+411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,2007,423,46,"['python', 'yaml']",Python,,pyyaml: Canonical source repository for PyYAML,yaml,2022-12-17,2022-09-13,2011-11-03,580,3.4569389763779528,40,3,5,"['ansible', 'newfolddigital/bluehost', 'suse']",,0.04,36,9,135,3,0,4,4,36.0,33.0,90.0,0.9,6927,51.02787
+748,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,2006,134,36,"['fastapi', 'best-practices']",,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2022-12-18,2022-09-16,2022-08-09,18,106.37878787878788,3,1,5,['viaprotocol'],,0.81,9,3,4,3,0,0,0,9.0,25.0,90.0,2.8,0,17.00053
+881,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,2001,233,70,"['statistics', 'time-series']",Python,,pyflux: Open source time series library for Python,rjt1990,2022-12-17,2018-12-16,2016-02-16,356,5.60728582866293,6,2,5,"['gitter', 'pinseekerinc']",,0.0,0,0,83,49,0,6,6,0.0,0.0,90.0,0.0,8,19.45117
+548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,1976,164,25,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",Python,,lightly: A python library for self-supervised learning on images.,lightly-ai,2022-12-18,2022-12-15,2020-10-13,113,17.355081555834378,21,1,5,['lightly'],,5.62,92,78,27,0,38,33,38,92.0,133.0,90.0,1.4,22,44.70008
+813,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,1953,88,14,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql']",Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2022-12-18,2022-12-16,2022-03-07,41,47.63414634146341,25,2,5,"['datafold', 'webscaleinc']",,13.75,139,117,10,0,13,16,13,139.0,220.0,90.0,1.6,4,43.21385
+323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1911,488,105,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2022-12-16,2022-11-10,2012-07-17,543,3.5137903861308115,123,1,5,['self;independant'],,3.96,79,45,127,1,1,2,1,79.0,141.0,90.0,1.8,133,49.56691
+590,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1895,407,40,"['python', 'science', 'units']",Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2022-12-17,2022-11-29,2012-07-13,544,3.48071372343217,181,0,5,[],,4.02,135,73,127,1,0,4,4,135.0,335.0,90.0,2.5,462,52.74691
+233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1886,576,98,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2022-12-18,2022-12-16,2016-12-27,311,6.0476408612001835,80,1,5,['ethereumfoundation'],,0.71,13,6,73,0,0,17,17,13.0,4.0,90.0,0.3,107,44.84639
+353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1880,212,43,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2022-12-17,2022-12-14,2019-02-26,198,9.454022988505747,18,1,5,['datascienceseldonio'],,3.52,84,61,46,0,5,7,5,84.0,108.0,90.0,1.3,12,40.79834
+441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1858,490,152,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2022-12-16,2022-12-17,2013-11-04,476,3.903361344537815,140,3,5,"['astutespruce', 'corteva', 'planetlabs']",,3.12,228,122,111,0,8,18,8,228.0,254.0,90.0,1.1,102,56.91496
+755,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,1852,69,23,"['deep-learning', 'search', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'timm', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'hacktoberfest-accepted']",Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2022-12-18,2022-12-16,2022-08-01,20,92.6,20,1,5,['marqo-ai'],,8.88,196,148,5,0,6,15,6,195.0,147.0,90.0,0.8,9,37.30761
+452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1851,156,12,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2022-12-18,2022-12-16,2018-11-01,215,8.58648111332008,77,4,5,"['auxmoney', 'bcggamma', 'imperialcollegelondon', 'unionai']",,2.23,134,83,50,0,17,14,17,134.0,355.0,90.0,2.6,17,53.79806
+540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,1850,137,35,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2022-12-18,2022-12-01,2022-03-28,38,48.68421052631579,7,1,5,['garnercorp'],,0.83,21,12,9,1,0,0,0,21.0,47.0,90.0,2.2,2,24.93407
+713,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1842,565,46,[],Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2022-12-18,2022-10-22,2016-02-20,356,5.170008019246191,17,2,5,"['daimlerag', 'facebookairesearch']",,0.02,7,2,83,2,0,0,0,7.0,4.0,90.0,0.6,8,29.71181
+871,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,1836,27,24,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2022-12-18,2022-11-29,2022-01-15,48,38.023668639053255,2,2,5,"['bytelogics', 'reloadware']",,0.71,38,31,11,1,0,6,6,38.0,103.0,90.0,2.7,0,27.68228
+856,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1827,128,22,[],Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2022-12-15,2021-10-25,2012-06-26,546,3.340909090909091,24,3,5,"['nvidia', 'populus-ai', 'universityofwisconsin-madison']",,0.0,10,4,128,14,0,2,2,10.0,12.0,90.0,1.2,24,34.66087
+823,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1822,151,22,[],Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2022-12-17,2022-12-18,2013-06-28,494,3.685062120774343,39,2,5,"['amphybio-universityofsãopaulo,medicalschool', 'uqfoundation']",,1.94,40,19,115,0,3,3,3,40.0,57.0,90.0,1.4,514,51.09718
+46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1811,234,53,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2022-12-18,2022-07-26,2016-12-21,312,5.7912288716308815,41,4,5,"['imperialcollegelondon', 'maartenbreddels', 'monashuniversity', 'surf']",,0.04,8,1,73,5,0,8,8,8.0,8.0,90.0,1.0,97,41.53161
+115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1806,478,55,[],Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2022-12-18,2022-12-15,2012-09-21,534,3.3793103448275863,190,4,5,"['brookhavennationallab', 'departmentofphysicsandastronomy,macquarieuniversity', 'enthought', 'esrf']",,3.48,70,41,125,0,1,4,1,70.0,208.0,90.0,3.0,791,61.33691
+506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,1800,390,24,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence']",Python,https://flower.dev,Flower - A Friendly Federated Learning Framework,adap,2022-12-18,2022-12-16,2020-02-17,148,12.162162162162161,51,1,5,['adapgmbh'],,5.63,99,67,34,0,4,4,4,99.0,59.0,90.0,0.6,18,42.50002
+648,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1793,208,45,[],Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2022-12-18,2022-10-28,2013-05-29,498,3.595244915496992,25,3,5,"['embl,zellerlab', 'georgiatech', 'scampersand']",,0.4,5,4,116,2,0,5,5,5.0,8.0,90.0,1.6,1101,47.52383
+601,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1792,85,38,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",Python,,felicette: Satellite imagery for dummies.,plant99,2022-12-16,2021-09-08,2020-07-12,127,14.09438202247191,6,4,5,"['clemsonuniversity', 'financeandeconomicsdepartment,mgimo-odintsovo', 'mattermost', 'tempulsenoirlinuxmulindisourcehaus']",,0.0,0,0,30,16,0,2,2,0.0,0.0,90.0,0.0,0,16.70649
+295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1785,170,45,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2022-12-12,2022-10-18,2016-10-14,322,5.536109880372176,47,3,5,"['embl,zellerlab', 'mercatronicsgmbh', 'textualize']",,1.56,7,2,75,2,2,8,2,7.0,19.0,90.0,2.7,47,43.67384
+63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1778,760,89,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2022-12-17,2022-12-14,2014-09-19,430,4.130766677729837,121,0,5,[],,5.48,166,136,100,0,1,3,1,166.0,676.0,90.0,4.1,104,51.20262
+749,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,1774,155,21,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2022-12-18,2022-12-05,2022-09-06,14,119.40384615384616,10,3,5,"['earth', 'huggingface', 'student']",,2.31,103,83,3,0,15,61,15,103.0,213.0,90.0,2.1,2,36.8515
+32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1766,148,43,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2022-12-18,2022-11-07,2010-07-09,649,2.719313682358117,27,3,5,"['ibmresearch', 'sunlightlabs', 'utrechtuniversity']",,0.38,10,7,152,1,0,2,2,10.0,6.0,90.0,0.6,92,41.79416
+310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1764,185,48,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2022-12-15,2022-12-13,2015-06-02,393,4.478781284004352,31,2,5,"['graphistry', 'nvidia']",,1.44,38,21,92,0,0,22,22,38.0,32.0,90.0,0.8,36,46.8321
+9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1754,159,60,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2022-12-17,2022-02-12,2016-09-27,324,5.399296394019349,21,3,5,"['akiliinteractive', 'contextlabcosanlab', 'dartmouthcollege']",,0.63,4,4,76,10,1,3,1,4.0,4.0,90.0,1.0,25,33.18949
+201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1752,329,40,[],Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2022-12-17,2021-07-11,2019-07-01,181,9.679558011049723,38,2,5,"['01s', 'http://develated.com/']",,0.0,16,5,42,18,0,7,7,16.0,15.0,90.0,0.9,6,30.63252
+843,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1748,905,131,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2022-12-16,2022-12-16,2017-11-14,265,6.574959699086513,311,1,5,['google'],,9.71,275,152,62,0,74,93,74,275.0,3020.0,90.0,11.0,133,66.03168
+297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1714,237,23,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2022-12-14,2022-12-13,2017-05-14,292,5.866992665036674,52,3,5,"['google', 'pioneervalleybooks', 'suse']",,2.69,19,7,68,0,3,9,3,19.0,33.0,90.0,1.7,2168,54.34798
+25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1710,107,22,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2022-12-17,2022-12-05,2018-06-27,233,7.316625916870415,23,2,5,"['google', 'netguru']",,0.12,9,6,54,0,0,0,0,9.0,5.0,90.0,0.6,0,29.12146
+365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1689,61,11,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2022-12-16,2022-12-10,2021-11-17,56,29.7808564231738,4,2,5,"['collegeofcomputing,georgiatech', 'iprally']",,0.83,1,1,13,0,0,2,2,1.0,0.0,90.0,0.0,0,20.2574
+806,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1689,285,65,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2022-12-18,2022-11-02,2020-01-09,153,10.998139534883721,137,2,5,"['apihackers', 'canonical']",,0.48,85,21,36,2,2,4,2,85.0,67.0,90.0,0.8,264,45.50314
+543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1673,171,18,"['sqlalchemy', 'sql', 'python']",Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2022-12-18,2022-12-15,2018-11-27,211,7.896830748482805,155,4,5,"['helioslite', 'planetarium', 'redhat', 'self-employed']",,1.33,37,26,49,0,5,26,5,37.0,106.0,90.0,2.9,1101,59.20527
+416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1671,340,57,[],Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2022-12-17,2021-03-24,2015-04-09,401,4.161152614727855,32,2,5,"['google', 'zalandose']",,0.0,13,2,94,21,0,3,3,13.0,6.0,90.0,0.5,15,30.38527
+217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1654,87,37,[],Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2022-12-17,2022-08-31,2021-04-27,85,19.264559068219633,8,2,5,"['linkedin', 'pepsico']",,0.08,3,1,20,4,1,2,1,3.0,9.0,90.0,3.0,12,28.26619
+302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1649,170,40,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2022-12-18,2022-11-28,2014-04-02,454,3.6264530317310713,53,3,5,"['inovex', 'karlsruheinstituteoftechnology', 'universityofbristol']",,2.98,18,13,106,1,10,22,10,18.0,22.0,90.0,1.2,105,49.77932
+732,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1649,1451,16,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2022-12-18,2022-02-07,2020-06-24,129,12.712555066079295,6,2,5,"['amazon/stanforduniversity', 'readytocollaborateonaiprojects']",,0.1,3,1,30,10,0,0,0,3.0,2.0,90.0,0.7,0,17.15735
+424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1640,145,27,"['python', 'ipython', 'debugger']",Python,,ipdb: Integration of IPython pdb,gotcha,2022-12-14,2022-12-13,2011-01-15,622,2.63544536271809,54,3,5,"['bubblenet', ""let'sdelivery"", 'locatee']",,0.29,20,14,145,0,0,3,3,20.0,29.0,90.0,1.4,915,52.46091
+330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1640,483,84,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2022-12-17,2019-10-02,2017-03-07,301,5.433033601514435,7,1,5,['mit'],,0.0,4,1,70,39,0,0,0,4.0,2.0,90.0,0.5,0,13.86356
+699,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1627,106,18,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2022-12-18,2022-02-20,2016-02-03,358,4.535643170051772,24,1,5,['canonical'],,0.15,9,6,84,10,0,12,12,9.0,16.0,90.0,1.8,65,36.94029
+256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1610,518,74,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2022-12-17,2022-12-14,2017-12-16,261,6.161837069436851,104,0,5,[],,3.71,32,20,61,0,7,14,7,32.0,33.0,90.0,1.0,173,46.04048
+383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1603,182,36,[],Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2022-12-17,2022-08-09,2019-12-29,155,10.332412523020258,9,3,5,"['buzzfeed', 'lightning-ai', 'quantcopy']",,0.1,8,1,36,4,1,4,1,8.0,13.0,90.0,1.6,0,25.52238
+779,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1602,232,56,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2022-12-15,2022-08-31,2019-07-17,178,8.964028776978417,37,1,5,['deepset'],,0.04,1,0,42,4,0,7,7,1.0,0.0,90.0,0.0,39,29.59949
+509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1596,597,58,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2022-12-15,2022-12-14,2018-11-26,212,7.528301886792453,200,4,5,"['aws', 'googlers', 'preligens', 'systran']",,1.27,53,31,49,0,6,9,6,53.0,111.0,90.0,2.1,2373,60.89811
+825,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interview-enlightener,1586,327,47,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",Jupyter Notebook,,machine-learning-interview-enlightener: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2022-12-18,2022-05-25,2021-01-31,98,16.160116448326054,6,2,5,"['meta', 'sdeliveramp']",,0.12,1,0,23,7,0,0,0,1.0,0.0,90.0,0.0,0,14.13242
+767,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1584,464,52,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2022-12-18,2022-04-24,2019-03-21,195,8.099342585829072,7,1,5,['thoughtworksthoughtworksinc'],,0.19,3,0,46,8,0,0,0,3.0,1.0,90.0,0.3,35,21.99251
+768,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1577,196,15,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2022-12-18,2022-11-19,2019-11-26,159,9.865058087578195,41,1,5,['microsoftuclkcl-bmeis'],,2.33,47,33,37,1,0,83,83,47.0,115.0,90.0,2.4,14,44.03754
+195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1576,250,16,[],Python,https://pettingzoo.farama.org,PettingZoo: Gymnasium for multi-agent reinforcement learning,pettingzoo-team,2022-12-17,2022-11-15,2020-01-20,152,10.368421052631579,79,1,5,['morganstanley'],,10.38,87,70,35,1,12,11,12,87.0,116.0,90.0,1.3,40,47.54469
+263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1566,2108,151,[],Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2022-12-18,2022-12-18,2013-03-22,508,3.080078673784771,40,4,5,"['australiannationaluniversity', 'kingabdullahuniversityofscienceandtechnology', 'umaprotocol', 'universityoftokyo']",,1.73,66,37,119,0,2,4,2,66.0,168.0,90.0,2.5,932,56.56408
+597,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1562,117,32,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2022-12-17,2022-11-30,2020-01-07,153,10.152274837511607,18,1,5,['uber'],,1.6,15,7,36,1,5,8,5,15.0,11.0,90.0,0.7,22,34.74221
+377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1556,111,20,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2022-12-18,2022-01-18,2020-11-07,110,14.10880829015544,10,3,5,"['cohere-ai', 'outsystems', 'truefoundry']",,0.62,9,6,26,11,3,6,3,9.0,5.0,90.0,0.6,3,26.125
+299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1544,101,26,[],Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2022-12-18,2022-11-16,2010-04-08,662,2.3303147908581283,25,1,5,['sumologic'],,0.37,2,1,155,1,1,0,1,2.0,2.0,90.0,1.0,2,30.38733
+143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1544,113,37,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2022-12-12,2020-07-17,2018-02-24,251,6.144400227401933,4,1,5,['plasticityai'],,0.0,2,0,59,29,0,29,29,2.0,1.0,90.0,0.5,6,21.39797
+596,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1543,265,41,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2022-12-17,2022-12-16,2018-06-15,235,6.554004854368932,46,3,5,"['databricks', 'netflix', 'uber']",,0.46,13,5,55,0,11,25,11,13.0,27.0,90.0,2.1,10,44.55222
+311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1532,84,26,[],Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2022-12-13,2022-11-04,2018-03-13,248,6.156142365097589,39,3,5,"['lincolnloop', 'linkedin', 'mam-dev']",,0.21,4,2,58,2,3,4,3,4.0,3.0,90.0,0.8,8,35.40279
+662,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1526,289,54,[],Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2022-12-17,2022-12-05,2014-08-07,436,3.4954188481675392,81,1,5,['anaconda'],,1.71,30,14,102,0,0,13,13,30.0,87.0,90.0,2.9,458,54.35845
+635,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1524,76,43,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2022-12-16,2022-05-18,2017-07-22,282,5.398785425101215,10,3,5,"['actcommodities', 'cybernetica', 'skelevilletechnologysolutions']",,0.04,2,1,66,7,0,1,1,2.0,1.0,90.0,0.5,8,26.84088
+795,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1520,141,22,"['python', 'api', 'rest', 'mypy', 'pydantic', 'types', 'asgi', 'json', 'openapi', 'redoc', 'starlette']",Python,https://starlite-api.github.io/starlite/,"starlite: Light, Flexible and Extensible ASGI API framework",starlite-api,2022-12-18,2022-12-18,2021-12-06,54,28.14814814814815,71,1,5,['safehousetechnologies'],,19.87,437,412,13,0,119,112,119,437.0,889.0,90.0,2.0,78,53.60219
+799,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1509,93,24,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2022-12-17,2022-12-15,2017-11-10,266,5.663806970509383,80,1,5,['none'],,1.81,28,25,62,0,0,10,10,28.0,29.0,90.0,1.0,18,44.53971
+458,ml-dl,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,1504,70,16,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference', 'neural-network', 'pypi', 'quantization']",Python,,nebullvm: Accelerate AI models leveraging best-of-breed optimization techniques 🚀,nebuly-ai,2022-12-16,2022-12-17,2022-02-12,44,33.961290322580645,11,4,5,"['nebuly', 'nebuly-ai', 'nebuly|epfl', 'nebuly|ethzurich']",,2.23,48,30,10,0,13,16,13,48.0,19.0,90.0,0.4,2,35.80703
+205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1499,120,30,"['python', 'visualization', 'debugger']",Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2022-12-15,2021-11-13,2019-04-24,190,7.859925093632959,3,0,5,[],,0.0,0,0,44,13,0,0,0,0.0,0.0,90.0,0.0,0,6.69395
+612,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1493,119,34,"['pytest', 'mock', 'hacktoberfest']",Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2022-12-16,2022-12-16,2014-07-17,439,3.3964900877478064,64,4,5,"['esss', 'freelancer,upforhire', 'nordsoftware', 'wayfair']",,1.08,26,26,103,0,6,7,6,26.0,27.0,90.0,1.0,3125,57.46496
+224,sim,https://github.com/google/brax,,,,google/brax,brax,1479,148,31,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2022-12-17,2022-12-15,2021-06-02,80,18.323893805309734,25,2,5,"['drexeluniversity', 'instadeep']",,0.4,41,23,19,0,6,8,6,41.0,79.0,90.0,1.9,11,39.53516
+498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1473,237,68,[],Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2022-12-15,2021-12-14,2020-09-09,118,12.407942238267148,3,2,5,"['meta', 'virginiatech']",,0.0,4,2,28,12,0,0,0,4.0,5.0,90.0,1.2,0,16.40385
+436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1469,134,18,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2022-12-17,2022-12-16,2021-04-28,85,17.138333333333332,33,4,5,"['aarhusuniversity,vestas', 'argilla.io', 'maxplanckcomputing&datafacility', 'recogai']",,10.4,364,231,20,0,30,52,30,369.0,470.0,90.0,1.3,4,49.38941
+531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1455,104,36,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2022-12-18,2022-12-15,2020-12-11,105,13.800813008130081,36,1,5,['neuralmagic'],,8.13,242,216,25,0,12,12,12,242.0,161.0,90.0,0.7,9,43.60185
+703,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,1433,345,52,[],Python,,openai/openai-python,openai,2022-12-18,2022-12-07,2020-10-25,112,12.778343949044586,26,2,5,"['microsoft', 'openai']",,0.87,38,21,26,0,17,20,17,38.0,35.0,90.0,0.9,12,40.79217
+591,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1428,241,35,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2022-12-17,2022-02-18,2020-03-21,143,9.966101694915254,13,2,5,"['facebook', 'jasonhoku']",,0.02,2,0,33,10,0,1,1,2.0,2.0,90.0,1.0,7,24.14813
+638,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1428,666,59,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2022-12-16,2022-12-16,2015-09-13,379,3.7663903541823665,301,1,5,['coiled'],,15.67,479,300,88,0,0,26,26,479.0,1204.0,90.0,2.5,3056,68.77149
+861,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1423,509,50,[],Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2022-12-17,2022-12-18,2015-04-09,401,3.543578797580932,254,4,5,"['google', 'netflix', 'quansight-labs', 'simularesearchlaboratory']",,3.06,93,44,94,0,19,9,19,93.0,119.0,90.0,1.3,4472,66.48137
+324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1421,123,32,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2022-12-16,2022-12-08,2016-10-19,321,4.41696269982238,40,2,5,"['pyupio', 'syncsketch']",,2.06,63,44,75,0,11,9,11,63.0,38.0,90.0,0.6,1197,52.81789
+108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1415,227,31,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2022-12-10,2022-06-03,2016-02-26,355,3.9811093247588425,48,2,5,"['charliehealth', 'gemovationlabs']",,0.02,2,0,83,7,0,8,8,2.0,1.0,90.0,0.5,61,35.74429
+378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1405,184,15,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2022-12-18,2022-12-09,2019-10-30,163,8.582024432809773,16,2,5,"['dtn', 'thoughtworks']",,1.15,15,7,38,0,4,23,4,15.0,30.0,90.0,2.0,151,43.40087
+429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1388,116,16,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2022-12-17,2022-12-18,2019-08-17,174,7.963934426229508,45,3,5,"['google', 'quantstack', 'universityofoxford']",,3.71,49,29,41,0,4,13,4,49.0,76.0,90.0,1.6,4,44.04962
+683,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1377,68,25,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2022-12-18,2022-08-30,2022-05-03,32,41.90869565217391,7,2,5,"['christianclauss', 'spotify']",,0.58,15,6,8,4,0,0,0,15.0,14.0,90.0,0.9,0,19.33768
+149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1375,606,88,"['salesforce', 'api', 'api-client', 'python']",Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2022-12-18,2022-12-07,2013-01-17,517,2.6566381451835497,75,2,5,"[':+1:', 'salesforce']",,0.21,29,11,121,0,5,4,5,29.0,46.0,90.0,1.6,25,46.60257
+284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1373,165,46,"['python', 'orm', 'database']",Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2022-12-18,2022-03-13,2015-05-24,395,3.4746926970354304,32,2,5,"['bellawatt', 'masoniteframework']",,0.02,2,0,92,9,0,4,4,2.0,0.0,90.0,0.0,4,27.07055
+438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1371,165,40,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2022-12-18,2022-12-11,2021-03-10,92,14.787365177195685,19,3,5,"['germanaerospacecenter(dlr)', 'naxa', 'universityoftennessee']",,5.79,40,37,22,0,42,35,42,40.0,85.0,90.0,2.1,4,44.67672
+267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1366,87,22,"['latex', 'academic-publishing', 'science', 'arxiv']",Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2022-12-14,2022-01-18,2017-08-12,279,4.8910485933503836,9,1,5,['replicate'],,0.13,26,15,65,11,0,0,0,26.0,18.0,90.0,0.7,3,23.08011
+721,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1360,71,17,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2022-12-16,2022-12-17,2018-09-03,224,6.071428571428571,28,3,5,"['ceph', 'facebook', 'facebookairesearch']",,2.33,51,35,52,0,4,4,4,51.0,34.0,90.0,0.7,58,45.53101
+298,crypto,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1357,173,28,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2022-12-17,2022-12-08,2021-03-09,92,14.613846153846154,16,2,5,"['amazonwebservices', 'student']",,10.13,16,10,22,0,5,15,5,16.0,29.0,90.0,1.8,4,39.07736
+613,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1356,190,34,"['pytest', 'python']",Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2022-12-18,2022-12-03,2014-04-17,452,2.996212121212121,81,2,5,"['freelancer,upforhire', 'nordsoftware']",,0.73,39,18,106,1,0,5,5,39.0,78.0,90.0,2.0,6181,56.35296
+478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1344,235,44,[],Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2022-12-15,2022-10-04,2018-09-20,221,6.065764023210832,48,2,5,"['google', 'uncandhuggingface']",,0.13,1,1,52,3,0,1,1,1.0,1.0,90.0,1.0,40,34.48272
+318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1343,252,56,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2022-12-17,2022-12-18,2016-01-04,363,3.6997245179063363,131,4,5,"['freelance,opentofull-timeemployment', 'optimizely', 'vw-dilab', 'zetta.io']",,15.96,135,102,85,0,0,18,18,135.0,153.0,90.0,1.1,112,60.60646
+460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1339,311,65,"['natural-language-processing', 'machine-learning', 'research']",Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2022-12-16,2022-12-16,2018-10-16,217,6.146229508196721,10,3,5,"['google', 'googleresearch', 'universityofwashington']",,0.1,16,3,51,0,0,0,0,16.0,3.0,90.0,0.2,20,32.42777
+876,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1332,496,27,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2022-12-18,2022-11-30,2021-12-19,52,25.545205479452054,9,2,5,"['google', 'lightning-ai,universityofwisconsin-madison']",,2.19,31,23,12,1,2,2,2,31.0,31.0,90.0,1.0,10,32.10811
+659,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1331,261,45,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2022-12-10,2022-12-12,2016-10-21,321,4.140888888888889,57,5,5,"['inria', 'nvidiaai', 'quansight', 'simulametropolitan', 'universityofcalifornia,losangeles']",,4.83,33,22,75,0,0,3,3,33.0,47.0,90.0,1.4,8377,60.62134
+898,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1325,223,41,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2022-12-18,2022-10-17,2017-07-13,283,4.672544080604534,24,4,5,"['boitas', 'bumblebee', 'life', 'pyupio']",,4.33,22,16,66,2,13,23,13,22.0,8.0,90.0,0.4,7,41.24626
+317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1318,248,29,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2022-12-18,2022-12-16,2019-06-09,184,7.1574864235841735,140,2,5,"['itv', 'tomtom-international']",,7.25,92,65,43,0,6,14,6,92.0,261.0,90.0,2.8,225,56.81863
+450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1316,348,61,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2022-12-15,2022-10-27,2014-05-07,449,2.926302414231258,81,3,5,"['amazonwebservices', 'databricks', 'quantstack']",,1.98,40,22,105,2,4,9,4,40.0,72.0,90.0,1.8,13,46.28313
+877,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1290,223,36,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2022-12-17,2022-12-12,2017-03-30,298,4.320574162679426,22,4,5,"['chivalrysoftware', 'microsoft', 'sevcosecurity', 'toyota-connected']",,0.46,21,10,70,0,6,7,6,21.0,13.0,90.0,0.6,11,41.37331
+766,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1288,172,19,[],Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2022-12-18,2022-11-22,2022-09-15,13,94.90526315789474,13,0,5,[],,1.79,56,34,3,1,0,0,0,56.0,94.0,90.0,1.7,4,23.08613
+676,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,incubator-sedona,1282,536,101,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",Java,http://sedona.apache.org/,incubator-sedona: A cluster computing framework for processing large-scale geospatial data,apache,2022-12-18,2022-12-18,2015-04-24,399,3.209585121602289,91,4,5,"['bloomberg', 'grab', 'nttdata', 'wherobots']",,3.79,52,46,93,0,3,10,3,52.0,62.0,90.0,1.2,0,45.42157
+391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1272,185,24,"['image-translation', 'gans', 'anime']",Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2022-12-18,2022-02-05,2021-12-17,52,24.26158038147139,3,1,5,['huggingface'],,0.48,3,0,12,11,0,0,0,3.0,1.0,90.0,0.3,12,14.76421
+465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1254,206,24,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2022-12-18,2022-12-18,2021-07-12,75,16.72,132,3,5,"['facebook', 'facebookai', 'pytorch']",,15.67,312,272,17,0,5,4,5,312.0,699.0,90.0,2.2,568,59.54388
+514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1243,194,20,[],Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2022-12-16,2022-11-23,2016-12-28,311,3.9876260311640697,16,1,5,['nextdaysolutionsoy'],,1.04,20,8,73,1,0,3,3,20.0,50.0,90.0,2.5,3,35.19549
+581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1234,138,20,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2022-12-18,2022-12-17,2021-02-22,95,12.989473684210527,26,3,5,"['carnegiemellonuniversity', 'pekinguniversity', 'ucberkeley']",,6.83,128,101,22,0,12,7,12,127.0,225.0,90.0,1.8,19,47.97136
+885,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1231,209,20,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2022-12-17,2022-12-06,2019-08-15,174,7.051554828150572,14,1,5,['okratechnologies'],,3.37,35,26,41,0,6,11,6,35.0,29.0,90.0,0.8,61,40.68059
+372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1230,144,33,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2022-12-18,2022-12-17,2021-05-21,82,14.922010398613518,27,3,5,"['dronebase', 'microsoft', 'universityofillinoisaturbana-champaign']",,7.88,202,160,19,0,5,4,5,202.0,309.0,90.0,1.5,13,46.07121
+829,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1220,97,61,[],Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2022-12-18,2022-12-15,2022-10-13,9,127.46268656716418,10,3,5,"['drcfsorg', 'huggingface', 'relx']",,1.31,27,25,2,0,0,0,0,27.0,38.0,90.0,1.4,0,25.81276
+178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1217,275,48,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2022-12-16,2022-12-15,2017-03-14,300,4.045109211775879,14,3,5,"['cotonoha', 'explosion', 'founderexplosion']",,3.63,5,4,70,0,166,128,166,5.0,0.0,90.0,0.0,68,43.1726
+414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1215,223,37,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2022-12-14,2021-06-07,2014-06-26,442,2.7453195610071015,63,1,5,['nasa'],,0.0,10,2,103,19,0,2,2,10.0,14.0,90.0,1.4,37,33.54696
+474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1196,73,37,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2022-12-18,2022-12-12,2020-12-14,105,11.39047619047619,29,1,5,['neuralmagic'],,6.83,179,159,24,0,12,13,12,179.0,111.0,90.0,0.6,0,37.86105
+435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1187,189,40,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2022-12-18,2022-12-15,2018-05-11,240,4.937017231134878,41,2,5,"['precognit', 'pythiac']",,2.85,160,113,56,0,8,9,8,160.0,131.0,90.0,0.8,7,44.85376
+162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1184,154,30,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2022-12-18,2022-12-16,2019-07-26,177,6.673107890499195,19,3,5,"['explosion&oxykodit', 'founderexplosion', 'indeedeng']",,0.58,14,12,41,0,5,11,5,14.0,5.0,90.0,0.4,14,38.14826
+264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1182,61,15,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2022-12-16,2022-12-14,2020-08-02,124,9.521288837744533,30,3,5,"['kaizentech', 'leyantech', 'wheel-me']",,5.63,121,100,29,0,7,31,7,121.0,131.0,90.0,1.1,130,49.95899
+566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1179,434,54,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2022-12-18,2022-12-15,2017-07-22,282,4.176619433198381,1,1,5,['universityofsoutherncalifornia'],,0.31,2,2,66,0,0,2,2,2.0,1.0,90.0,0.5,3,23.77454
+451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1168,235,31,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2022-12-17,2022-12-17,2013-05-04,502,2.3253697383390217,95,4,5,"['actions', 'independentsoftwareengineer', 'mongodb', 'usr-lab']",,2.46,52,36,117,0,26,7,26,52.0,155.0,90.0,3.0,2463,65.32585
+647,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1163,236,59,[],Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2022-12-15,2022-12-16,2011-06-03,602,1.9305193265354517,110,2,5,"['coornhertgymnasium', 'francescalted']",,4.96,36,22,141,0,1,4,1,36.0,105.0,90.0,2.9,132,53.64475
+304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1162,42,12,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2022-12-16,2022-12-07,2020-10-16,113,10.244332493702771,18,1,5,['featureform'],,47.98,124,103,26,0,6,4,6,124.0,103.0,90.0,0.8,9,42.88447
+494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1159,289,27,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2022-12-17,2021-12-12,2017-12-09,262,4.418845315904139,1,0,5,[],,0.0,0,0,61,12,0,0,0,0.0,0.0,90.0,0.0,0,5.74707
+725,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1153,27,13,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2022-12-14,2022-07-11,2021-03-28,90,12.79080824088748,6,3,5,"['avatarify', 'googlex', 'irtsaint-exupéry']",,0.04,4,1,21,5,0,0,0,4.0,10.0,90.0,2.5,2,24.3071
+862,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1151,315,43,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2022-12-17,2022-11-30,2014-09-13,431,2.6687644915534947,98,1,5,['quantstack'],,3.96,67,24,101,2,7,3,7,67.0,135.0,90.0,2.0,74,48.72421
+636,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1148,484,27,"['python', 'syntax-highlighting']",Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2022-12-18,2022-12-15,2019-08-31,172,6.66334991708126,757,3,5,"['amd', 'fzjülich', 'google']",,7.58,133,67,40,0,5,17,5,133.0,184.0,90.0,1.4,7530,67.10478
+489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1145,333,55,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2022-12-18,2022-12-14,2012-08-03,541,2.1147757255936677,118,3,5,"['lasp/lasp/swxtrec', 'metoffice', 'ucar/unidata']",,1.4,46,26,126,0,4,4,4,46.0,135.0,90.0,2.9,284,56.97742
+194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1144,78,16,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2022-12-18,2022-11-27,2019-01-14,205,5.580487804878048,29,2,5,"['resurety', 'tractabletractableai']",,0.56,11,8,48,1,8,15,8,11.0,14.0,90.0,1.3,16,39.15951
+338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1142,69,14,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2022-12-18,2022-08-20,2021-10-27,59,19.124401913875598,8,1,5,['singaporeuniversityoftechnologyanddesign'],,0.27,13,3,14,4,0,0,0,13.0,65.0,90.0,5.0,0,22.95553
+16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1139,295,62,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2022-12-08,2022-11-17,2012-12-11,522,2.178415300546448,181,0,5,[],,0.15,18,5,122,1,0,5,5,18.0,26.0,90.0,1.4,2749,49.06214
+403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1134,95,24,"['async-await', 'trio', 'asyncio', 'curio']",Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2022-12-17,2022-12-14,2018-08-19,226,5.01452937460518,38,3,5,"['andrewjayichlabucsb', 'nextdaysolutionsoy', 'norisnetworkag']",,2.38,64,43,53,0,0,10,10,64.0,117.0,90.0,1.8,553,54.25376
+720,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1132,76,29,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2022-12-18,2022-12-16,2021-11-18,56,20.01010101010101,19,2,5,"['facebookairesearchfacebookresearch', 'metaai']",,4.25,107,84,13,0,5,7,5,107.0,64.0,90.0,0.6,0,34.4576
+802,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1125,402,35,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2022-12-18,2022-12-09,2019-05-07,188,5.9568835098335855,172,4,5,"['google', 'lightstep', 'microsoftcorporation', 'signoz.io']",,5.42,206,128,44,0,11,14,11,206.0,374.0,90.0,1.8,128,59.19414
+545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1119,178,27,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2022-12-13,2022-05-29,2018-11-29,211,5.288993923024983,21,2,5,"['borealisai', 'ecopiaai']",,0.31,3,1,49,7,0,0,0,3.0,1.0,90.0,0.3,2,23.4038
+618,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1102,186,54,[],Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2022-12-15,2022-12-14,2013-03-29,507,2.171734234234234,52,2,5,"['bruhinsoftware', 'fareharbor']",,4.33,38,28,118,0,2,10,2,38.0,63.0,90.0,1.7,232,51.7366
+396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1100,50,23,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'http-server', 'rest', 'web', 'framework']",Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2022-12-14,2022-12-14,2018-11-22,212,5.174731182795699,10,0,5,[],,0.6,17,12,50,0,6,7,6,17.0,39.0,90.0,2.3,30,35.53396
+726,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1094,21,17,[],C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2022-12-16,2022-08-31,2022-07-16,22,49.08974358974359,6,2,5,"['marcelpetrick.it', 'universityofcalgary']",,1.71,2,1,5,4,1,2,1,2.0,1.0,90.0,0.5,0,17.10565
+900,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,1090,123,16,"['machine-learning', 'automl', 'regression', 'classification']",Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2022-12-18,2022-09-28,2019-11-16,161,6.758193091231178,18,5,5,"['appliedmaterials', 'fiolabs-internal', 'pyupio', 'streamlit', 'wildlife-studios']",,0.6,24,5,38,3,1,4,1,24.0,22.0,90.0,0.9,3,33.21855
+448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1084,287,81,[],Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2022-12-18,2022-07-23,2013-02-19,512,2.113649025069638,77,3,5,"['centerforopengeographicalscience', 'geoda/asu', 'usgsastrogeology']",,0.65,2,2,120,5,5,3,5,2.0,6.0,90.0,3.0,1349,50.581
+656,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1082,69,40,[],Python,,httptools: Fast HTTP parser,magicstack,2022-12-13,2022-09-13,2016-04-25,347,3.118155619596542,13,2,5,"['edgedb', 'enix']",,0.12,3,1,81,3,2,2,2,3.0,6.0,90.0,2.0,245,38.21304
+798,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1079,153,31,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2022-12-18,2022-12-17,2009-12-10,679,1.587765398360311,68,4,5,"['3dhubs', 'equium-io', 'google', 'waltdisneyanimationstudios']",,2.25,29,22,159,0,0,3,3,29.0,56.0,90.0,1.9,170,54.09076
+771,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1074,79,30,[],C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2022-12-15,2022-12-15,2020-03-30,142,7.563380281690141,10,1,5,['google'],,5.65,35,23,33,0,0,11,11,35.0,195.0,90.0,5.6,29,45.11251
+417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1070,160,21,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2022-12-18,2022-11-30,2018-03-04,250,4.2775556824671614,106,3,5,"['amdi', 'datajanitor', 'springdiscovery']",,2.77,81,60,58,1,2,10,2,81.0,193.0,90.0,2.4,2,45.27839
+651,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1065,35,14,"['python', 'profiling', 'performance', 'debugging-tools']",C,,austin: Python frame stack sampler for CPython,p403n1x87,2022-12-18,2022-10-28,2018-09-20,221,4.806576402321083,7,3,5,"['datadog', 'madalgo', 'microsoft']",,2.02,28,24,52,2,6,6,6,28.0,44.0,90.0,1.6,29,39.6474
+512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1065,79,17,[],Python,,typeguard: Run-time type checker for Python,agronholm,2022-12-12,2022-10-11,2015-12-27,364,2.924676343664182,21,2,5,"['nextdaysolutionsoy', 'salesforce.org']",,0.35,10,4,85,2,0,6,6,10.0,6.0,90.0,0.6,265,40.9188
+626,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1060,264,93,[],Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2022-12-16,2022-10-18,2011-01-24,621,1.7069243156199678,93,3,5,"['astrazenecauk', 'enthought', 'iitbombay']",,1.19,44,25,145,2,0,3,3,44.0,82.0,90.0,1.9,119,50.21249
+627,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1059,210,43,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2022-12-17,2022-12-16,2015-12-15,365,2.8945724326434985,77,3,5,"['openmicroscopy', 'quansight-labs', 'weomesangerinstitute']",,3.62,207,115,85,0,12,11,12,207.0,692.0,90.0,3.3,75,57.87181
+619,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1056,116,35,[],Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2022-12-17,2022-12-13,2015-04-11,401,2.6315414738341047,40,2,5,"['neu.ro', 'pocketzworld']",,3.27,80,66,94,0,15,5,15,80.0,80.0,90.0,1.0,2129,56.86242
+239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1055,81,17,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2022-12-16,2022-12-10,2018-07-14,231,4.561457689932057,27,3,5,"['datasette', 'stanforduniversity', 'usatodaynetwork/glasseyemedia/homicidewatch']",,4.17,39,22,54,0,14,26,14,39.0,93.0,90.0,2.4,123,52.01717
+609,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1045,185,46,"['hacktoberfest', 'pytest', 'pytest-plugin']",Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2022-12-16,2022-12-13,2015-09-01,380,2.7438109527381846,86,4,5,"['esss', 'merlinux', 'nordsoftware', 'redhatinsights']",,1.25,56,37,89,0,0,8,8,56.0,128.0,90.0,2.3,1467,60.0196
+666,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,1038,85,39,"['evaluation', 'machine-learning']",Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2022-12-18,2022-12-13,2022-03-30,37,27.522727272727273,111,2,5,"['huggingface', 'huggingfaceaiinnova']",,8.37,117,82,9,0,8,11,8,117.0,290.0,90.0,2.5,644,55.06746
+191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1035,176,23,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2022-12-16,2022-11-18,2020-03-03,145,7.095984329089128,25,3,5,"['amazon', 'aws', 'kwai']",,0.1,16,8,34,1,0,1,1,16.0,20.0,90.0,1.2,0,31.0426
+817,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1033,94,29,[],Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2022-12-16,2022-12-13,2018-11-28,211,4.879217273954116,7,3,5,"['calculationconsulting', 'etalab', 'ozminerals']",,4.88,66,55,49,0,1,2,1,66.0,107.0,90.0,1.6,24,41.9066
+644,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1033,70,26,"['python', 'logging', 'logzero', 'logfiles']",Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2022-12-16,2021-03-17,2017-06-12,288,3.5868055555555554,12,3,5,"['canva', 'flashbots', 'pyupio']",,0.0,17,11,67,21,0,3,3,17.0,11.0,90.0,0.6,4,27.72223
+654,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1031,57,13,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2022-12-18,2022-11-25,2009-10-07,688,1.4969923252437254,28,4,5,"['dara.network', 'mongodb', 'nutanix', 'redhat']",,0.65,11,8,161,1,2,0,2,11.0,13.0,90.0,1.2,404,47.42103
+449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1029,90,35,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2022-12-14,2022-03-18,2016-06-29,337,3.046954314720812,5,2,5,"['quiltdata', 'udl-ai']",,0.31,3,1,79,9,2,3,2,3.0,4.0,90.0,1.3,18,28.11153
+580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1024,114,9,"['dataclasses', 'json', 'python']",Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2022-12-15,2022-08-14,2018-04-21,243,4.209042865531415,46,1,5,['quantenna'],,0.13,35,4,57,4,1,14,1,35.0,18.0,90.0,0.5,172,36.04185
+598,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,995,113,21,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2022-12-14,2021-03-15,2020-01-07,153,6.467038068709378,5,3,5,"['delltechnologies', 'litesgroup', 'nvidia']",,0.0,3,0,36,21,0,1,1,3.0,0.0,90.0,0.0,3,17.70687
+406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,994,82,10,[],Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2022-12-17,2022-07-24,2012-10-04,532,1.8664163090128756,29,2,5,"['ableton', 'finceptiv']",,0.12,5,1,124,5,0,2,2,5.0,8.0,90.0,1.6,71,37.74797
+728,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,987,258,64,[],Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2022-12-14,2022-07-28,2014-03-04,458,2.1509962640099625,42,1,5,['geospatialpython.com'],,0.92,4,1,107,5,3,2,3,4.0,2.0,90.0,0.5,107,36.17278
+444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,983,190,49,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2022-12-18,2022-12-13,2011-12-31,572,1.717673489765352,64,2,5,"['gnsscience', 'planetlabs']",,1.4,58,42,134,0,6,10,6,58.0,109.0,90.0,1.9,115,52.10543
+739,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,975,40,20,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2022-12-15,2022-11-16,2019-02-09,201,4.843860894251242,10,2,5,"['flatiron-school', 'rstudio']",,3.5,46,34,47,1,15,9,15,46.0,39.0,90.0,0.8,3,37.41449
+447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,975,97,22,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2022-12-15,2022-12-18,2019-07-04,180,5.399525316455696,15,2,5,"['berkeleyairesearchlab', 'seniorresearcher']",,3.0,16,14,42,0,11,8,11,16.0,23.0,90.0,1.4,25,42.45559
+707,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,972,88,247,[],Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2022-12-17,2021-01-05,2018-01-31,254,3.8160403813796973,4,1,5,['bccentreforexcellenceinhiv/aids'],,0.0,0,0,59,24,0,0,0,0.0,0.0,90.0,0.0,0,9.9945
+614,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,961,68,17,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2022-12-17,2022-12-11,2013-06-25,494,1.9419745958429562,45,4,5,"['adobe', 'falcony-io', 'freelancer,upforhire', 'wolt']",,0.83,54,48,115,0,0,1,1,54.0,94.0,90.0,1.7,303,52.32141
+482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,949,276,50,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2022-12-13,2022-11-23,2018-05-31,237,3.994588093806374,49,4,5,"['eoresearchteamsinergise', 'google', 'sinergise', 'sinergisesentinel-hub']",,5.48,56,51,55,1,10,8,10,56.0,54.0,90.0,1.0,83,50.74665
+631,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,945,134,29,['python'],Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2022-12-17,2022-12-13,2013-05-11,501,1.885152465089769,31,2,5,"['datadog', 'pioneervalleybooks']",,2.85,56,49,117,0,0,2,2,59.0,37.0,90.0,0.6,399,49.1552
+740,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,936,99,18,"['scikit-learn', 'machine-learning', 'common-sense']",Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2022-12-14,2022-11-02,2019-01-21,204,4.588235294117647,56,3,5,"['explosion', 'm-gate', 'xcceleratedpydataamsterdam']",,0.48,28,17,48,2,5,8,5,28.0,77.0,90.0,2.8,19,44.04612
+633,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,936,219,28,"['cryptography', 'libsodium', 'nacl', 'python']",C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2022-12-11,2022-12-13,2013-02-22,512,1.8265960412601059,64,1,5,['datadog'],,0.48,9,7,120,0,0,2,2,9.0,14.0,90.0,1.6,169,45.61533
+271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,933,245,32,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2022-12-18,2022-10-26,2018-08-24,225,4.138783269961977,14,0,5,[],,0.29,5,2,53,2,0,5,5,5.0,5.0,90.0,1.0,180,32.46167
+820,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,930,201,21,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2022-12-15,2022-08-03,2018-09-21,221,4.2,29,2,5,"['facebook', 'facultyai']",,1.17,29,8,52,5,14,33,14,29.0,20.0,90.0,0.7,41,39.10263
+379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,924,81,16,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2022-12-18,2022-11-17,2020-05-27,133,6.910256410256411,7,4,5,"['dfki/universitätdessaarlandes', 'mavenoid;omnimodular', 'oraikatechnologies', 'quantcopy']",,0.98,17,5,31,1,4,5,4,17.0,22.0,90.0,1.3,11,35.70152
+212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,919,66,23,"['rust', 'python', 'database', 'sql', 'dataframe']",Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2022-12-18,2022-12-08,2021-01-13,100,9.12482269503546,29,2,5,"['redhatofficial', 'sfu-db']",,5.38,68,33,23,0,5,3,5,68.0,79.0,90.0,1.2,20,43.09998
+236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,918,192,44,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2022-12-18,2022-05-09,2020-07-02,128,7.14,8,2,5,"['apple', 'salesforceresearch']",,0.42,4,0,30,7,0,0,0,4.0,2.0,90.0,0.5,0,18.21195
+541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,911,136,8,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2022-12-18,2022-10-29,2019-01-02,206,4.407049067035246,58,1,5,['salesforce'],,0.1,15,10,48,2,0,12,12,15.0,13.0,90.0,0.9,183,41.90249
+251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,910,86,28,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2022-12-18,2022-12-02,2020-06-15,131,6.9465648854961835,23,1,5,['google'],,1.1,24,13,31,1,2,2,2,24.0,37.0,90.0,1.5,29,36.2382
+88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,909,179,28,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2022-12-15,2022-12-15,2017-11-01,267,3.395410885805763,56,3,5,"['atlassian', 'forgerock', 'zalando']",,1.38,34,25,62,0,0,37,37,34.0,34.0,90.0,1.0,38,49.70886
+387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,892,144,17,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2022-12-18,2022-07-08,2014-06-18,443,2.0103026400515134,46,1,5,['tessian'],,0.1,4,3,104,5,1,2,1,4.0,5.0,90.0,1.2,19,33.24374
+622,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,890,67,23,[],Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2022-12-06,2022-11-06,2014-04-04,454,1.958503615215341,20,4,5,"['coiled', 'formerlyquantopian', 'lynkertechnologies', 'voltrondata']",,0.52,10,6,106,1,1,2,1,10.0,6.0,90.0,0.6,28,39.05177
+504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,889,165,36,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2022-12-14,2022-12-16,2018-12-16,209,4.2506830601092895,29,2,5,"['dtn', 'universityofliverpool']",,2.29,35,20,49,0,5,3,5,35.0,55.0,90.0,1.6,25,44.08245
+672,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,888,21,83,[],,,faster-cpython: How to make CPython faster.,markshannon,2022-12-18,2020-10-28,2020-10-19,113,7.8584070796460175,4,2,5,"['colgateuniversity', 'microsoft']",,0.0,3,0,26,26,0,0,0,3.0,2.0,90.0,0.7,0,13.04516
+402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,886,40,14,"['python', 'async', 'asyncio', 'trio', 'anyio']",Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2022-12-18,2022-12-16,2022-01-04,49,17.770773638968482,10,1,5,"['snok,intility']",,1.69,30,26,12,0,2,2,2,30.0,38.0,90.0,1.3,0,28.14501
+630,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,881,256,31,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2022-12-14,2022-12-15,2016-02-09,357,2.46187624750499,132,4,5,"['deutscherwetterdienst', 'dwd', 'smhi', 'spacescienceandengineeringcenter(ssec)']",,21.56,174,107,83,0,6,12,6,174.0,595.0,90.0,3.4,12,58.74132
+219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,873,85,6,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2022-12-18,2022-05-18,2020-04-15,139,6.248466257668712,13,0,5,[],,0.02,111,71,33,7,0,8,8,111.0,73.0,90.0,0.7,18,28.5387
+750,data,https://github.com/pytorch/data,,,,pytorch/data,data,870,102,25,[],Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2022-12-17,2022-12-16,2021-05-12,83,10.392491467576791,60,2,5,"['facebook', 'quansight']",,6.5,194,146,20,0,5,7,5,194.0,491.0,90.0,2.5,1663,56.54724
+341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,867,67,24,"['terminal', 'curses', 'cli']",Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2022-12-14,2022-09-27,2014-03-01,459,1.8877138413685848,24,2,5,"['dalibo', 'mozilla']",,0.1,7,2,107,3,1,6,1,7.0,10.0,90.0,1.4,11,34.1321
+392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,858,93,31,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2022-12-18,2022-09-27,2019-05-29,185,4.62,4,3,5,"['8080labs', 'bamboolib', 'databricks']",,0.21,0,0,43,3,0,0,0,0.0,0.0,90.0,0.0,8,21.39437
+204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,856,29,16,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2022-12-17,2022-12-05,2019-05-13,188,4.553191489361702,22,1,5,['google'],,0.15,6,2,44,0,0,1,1,6.0,15.0,90.0,2.5,5,33.50711
+700,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,854,136,28,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2022-12-18,2022-12-18,2018-08-07,227,3.747962382445141,62,2,5,"['intel', 'intelcorporation']",,1.63,118,82,53,0,3,5,3,118.0,80.0,90.0,0.7,0,39.34588
+772,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,850,74,15,"['few-shot-learning', 'nlp', 'sentence-transformers']",Python,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2022-12-18,2022-12-17,2022-06-30,24,34.593023255813954,29,3,5,"['huggingface', 'nervanasystems', 'telekom']",,5.46,187,132,6,0,7,18,7,187.0,415.0,90.0,2.2,2,41.75848
+347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,847,67,27,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2022-12-12,2022-11-08,2021-03-16,91,9.220839813374806,11,4,5,"['norwegiancomputingcentre', 'palinode', 'universityofoslo', 'universityofthebasquecountryupv/ehu']",,0.46,7,5,21,1,1,1,1,7.0,5.0,90.0,0.7,13,32.18198
+628,data,https://github.com/intake/intake,,,,intake/intake,intake,844,125,41,"['python', 'data-access', 'data-catalog']",Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2022-12-12,2022-12-02,2017-08-14,279,3.025089605734767,79,3,5,"['anaconda', 'azavea', 'brookhavennationallab']",,0.98,22,14,65,1,0,7,7,22.0,41.0,90.0,1.9,392,51.62392
+484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,836,225,59,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2022-12-15,2022-11-03,2015-05-22,395,2.1141618497109826,42,3,5,"['deloitte', 'developmentseed', 'milremrobotics']",,0.15,9,4,92,2,1,3,1,9.0,45.0,90.0,5.0,7,41.12421
+697,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,834,250,24,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2022-12-17,2022-12-18,2014-12-02,419,1.986389928547125,43,3,5,"['newyorkuniversity', 'princetonuniversity', 'universityofalberta']",,1.44,28,24,98,0,11,7,11,28.0,68.0,90.0,2.4,3,46.70889
+639,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,833,236,40,['hacktoberfest'],Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2022-12-15,2022-10-19,2017-06-15,287,2.8966716343765526,76,3,5,"['coiled', 'microsoft', 'voltrondata']",,0.21,22,3,67,2,2,7,2,22.0,28.0,90.0,1.3,68,42.99187
+445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,828,189,30,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2022-12-16,2022-12-16,2014-12-29,416,1.9903846153846154,58,1,5,['corteva'],,2.6,56,40,97,0,7,8,7,56.0,144.0,90.0,2.6,523,53.82472
+468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,825,105,39,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2022-12-17,2022-12-16,2021-07-20,73,11.170212765957446,37,1,5,['huggingface'],,6.21,260,187,17,0,12,12,12,260.0,642.0,90.0,2.5,679,52.95176
+887,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,823,439,75,[],Python,,pyscf: Python module for quantum chemistry,pyscf,2022-12-17,2022-12-14,2014-05-02,450,1.8271487472248653,137,2,5,"['simuneatomisticss.l.', 'theohiostateuniversity']",,5.52,148,70,105,0,2,8,2,148.0,217.0,90.0,1.5,660,57.52678
+712,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,820,138,20,[],Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2022-12-18,2022-11-05,2021-05-12,83,9.795221843003413,11,1,5,['johnshopkinsuniversity'],,0.83,24,6,20,1,0,0,0,24.0,44.0,90.0,1.8,3,27.48424
+850,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,795,95,22,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2022-12-18,2022-12-08,2012-02-20,565,1.407079646017699,42,1,5,['cslab'],,1.13,14,11,132,0,4,9,4,14.0,45.0,90.0,3.2,381,50.05229
+395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,794,63,30,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",Python,,emmett: The web framework for inventors,emmett-framework,2022-12-10,2022-11-24,2014-10-20,426,1.863849765258216,21,3,5,"['cashbee-team', 'lawstudent', 'ostrovok.ru']",,1.83,8,5,99,1,14,14,14,8.0,0.0,90.0,0.0,12,38.89607
+490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,788,149,47,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2022-12-17,2022-11-14,2010-01-31,672,1.1723698193411265,32,2,5,"['fudanuniversity', 'theexclosure']",,0.15,3,0,157,1,1,4,1,3.0,5.0,90.0,1.7,52,38.87971
+891,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,788,11,6,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2022-12-18,2022-12-18,2022-10-07,10,75.56164383561644,1,0,5,[],,1.48,14,8,2,0,0,79,79,14.0,80.0,90.0,5.7,0,23.49765
+226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,785,80,38,[],Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2022-12-12,2022-12-02,2020-11-02,111,7.072072072072072,43,1,5,['facebookairesearch'],,9.77,41,27,26,1,0,0,0,41.0,86.0,90.0,2.1,108,42.38209
+351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,771,39,21,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2022-12-18,2022-12-15,2021-08-11,70,10.903030303030302,32,2,5,"['jina-ai', 'jinaai']",,4.73,99,89,16,0,12,24,12,99.0,117.0,90.0,1.2,0,39.18383
+738,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,766,9,3,"['python', 'pointers', 'python-pointers']",Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2022-12-08,2022-11-30,2022-03-09,40,18.814035087719297,7,1,5,['royalbankofcanada'],,3.21,3,3,9,1,6,8,6,3.0,3.0,90.0,1.0,2,25.84015
+810,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,759,167,99,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2022-12-18,2022-12-16,2015-05-05,397,1.9077199281867145,41,2,5,"['elastic', 'neo4j']",,2.94,80,75,93,0,17,14,17,80.0,48.0,90.0,0.6,74,50.11615
+146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,752,225,38,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2022-12-17,2022-12-12,2013-02-11,514,1.4630350194552528,65,3,5,"['cern', 'protonmail', 'skribble']",,1.52,66,36,120,0,0,42,42,66.0,44.0,90.0,0.7,150,54.24208
+658,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,750,83,13,"['python', 'magic-extension', 'jupyter', 'ipython']",Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2022-12-18,2022-09-13,2014-07-30,437,1.7134464751958225,17,4,5,"['brabantwater', 'capgeminiengineering', 'drivendata', 'lightning-ai,universityofwisconsin-madison']",,0.12,2,0,102,3,2,2,2,2.0,3.0,90.0,1.5,94,38.81583
+334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,750,50,28,"['python', 'monkey-patching']",Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2022-12-15,2022-03-12,2013-04-03,506,1.480124048491683,15,2,5,"['bitdeli', 'django,djangolondon']",,0.0,3,1,118,14,0,1,1,3.0,1.0,90.0,0.3,0,21.91652
+791,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,733,179,21,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2022-12-16,2022-12-05,2013-10-02,480,1.52481426448737,17,3,5,"['blksail', 'google', 'skamrahlitsolutions']",,1.02,7,7,112,0,2,3,2,7.0,18.0,90.0,2.6,22,43.4709
+634,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,733,41,13,"['profiling', 'python', 'heatmap', 'matplotlib']",Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2022-12-16,2021-09-18,2017-02-04,306,2.393190298507463,5,2,5,"['citrix', 'lyft']",,0.0,0,0,71,15,0,0,0,0.0,0.0,90.0,0.0,0,14.02954
+853,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,732,158,33,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2022-12-18,2022-12-13,2017-05-14,292,2.5056234718826405,7,3,5,"['github', 'pyupio', 'themediasupermarket']",,2.17,19,16,68,0,0,6,6,19.0,32.0,90.0,1.7,71,44.27913
+828,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,725,87,11,[],Python,https://gymnasium.farama.org,Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym),farama-foundation,2022-12-18,2022-12-18,2022-09-08,14,49.754901960784316,395,0,5,[],,8.46,208,170,3,0,5,20,5,208.0,322.0,90.0,1.5,4,40.96329
+291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,719,36,21,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",Python,https://hamilton-docs.gitbook.io/docs/,"hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc.",stitchfix,2022-12-17,2022-12-18,2020-05-26,133,5.371398078975454,14,2,5,"['spothero', 'stitchfix']",,5.1,83,41,31,0,10,5,10,83.0,122.0,90.0,1.5,4,41.14727
+621,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,713,94,18,[],Python,,Parameterized testing with any Python test framework,wolever,2022-12-16,2021-01-09,2012-03-10,562,1.2680386178861789,24,1,5,['sheertex'],,0.0,3,1,131,24,0,1,1,3.0,4.0,90.0,1.3,89,30.43729
+559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,711,58,16,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.,vizzuhq,2022-12-18,2022-12-16,2022-01-05,49,14.301724137931034,10,2,5,"['oneidentity(balabit)', 'vizzuhq']",,9.17,22,13,12,0,18,18,18,22.0,16.0,90.0,0.7,11,38.20662
+358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,711,40,42,"['data-documentation', 'data-catalog', 'data-discovery']",Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2022-12-18,2022-10-13,2020-05-27,133,5.3173076923076925,17,3,5,"['dataframe', 'nttcommunications', 'shopify']",,0.17,6,3,31,2,0,10,10,6.0,3.0,90.0,0.5,0,29.16195
+419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,709,40,14,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2022-12-15,2022-09-01,2012-05-03,554,1.2784647089129315,20,4,5,"['dapulse', 'nordsoftware', 'pioneervalleybooks', 'siasol']",,0.37,3,1,129,4,0,6,6,3.0,3.0,90.0,1.0,178,41.81119
+23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,707,148,40,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2022-12-17,2022-11-07,2011-12-07,575,1.2280397022332505,47,2,5,"['inria&institutdemathématiquesdebordeaux', 'quansight']",,0.27,9,3,134,1,0,1,1,9.0,7.0,90.0,0.8,75,40.59987
+593,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,703,396,60,"['gis', 'maps', 'plots']",Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2022-12-12,2022-11-29,2011-02-19,617,1.1388567461235826,69,2,5,"['eccc', 'germanaerospacecenter(dlr)']",,3.77,24,19,144,1,7,3,7,24.0,40.0,90.0,1.7,606,53.56031
+701,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,700,21,9,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2022-12-17,2022-12-05,2020-06-18,130,5.361050328227571,6,3,5,"['algolia', 'hyphenatedenterprises', 'whalesalad']",,3.08,61,46,30,0,14,25,14,61.0,58.0,90.0,1.0,6,39.76851
+325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,696,44,19,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2022-12-17,2022-12-15,2021-09-02,67,10.300211416490486,18,3,5,"['digitalr00ts', 'google', 'trailofbits']",,3.63,77,64,16,0,22,30,22,77.0,183.0,90.0,2.4,95,49.36054
+477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,688,78,24,"['holoviz', 'holoviews', 'plotting', 'datashader']",Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2022-12-17,2022-12-13,2018-03-19,248,2.774193548387097,39,2,5,"['anaconda', 'azavea']",,2.21,269,74,58,0,3,22,3,269.0,239.0,90.0,0.9,10,43.91498
+360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,686,144,48,[],Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2022-12-14,2022-12-16,2018-07-02,233,2.944206008583691,25,1,5,['google'],,2.98,19,13,54,0,7,9,7,19.0,26.0,90.0,1.4,572,47.28929
+168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,684,94,35,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2022-12-08,2021-02-01,2016-06-23,338,2.020253164556962,6,4,5,"['github', 'maxar', 'msupoliticalscience', 'phillymedia']",,0.0,2,0,79,23,0,1,1,2.0,2.0,90.0,1.0,4,24.04831
+572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,681,155,125,[],Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2022-12-07,2018-07-30,2014-08-01,437,1.5568256041802744,24,4,5,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'element84', 'ledgy']",,0.0,0,0,102,53,0,2,2,0.0,0.0,90.0,0.0,11,24.78902
+393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,673,78,28,"['benchmark', 'python-frameworks']",Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2022-12-11,2022-03-14,2015-04-30,398,1.6885304659498208,10,2,5,"['get-post-technology', 'home']",,0.44,17,10,93,9,0,3,3,17.0,9.0,90.0,0.5,0,25.97893
+164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,662,50,25,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2022-12-09,2022-05-27,2019-01-31,202,3.2679830747531735,7,3,5,"['founderexplosion', 'graphext', 'lt3kuleuven']",,0.06,0,0,47,7,1,4,1,0.0,0.0,90.0,0.0,0,18.27777
+483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,655,213,48,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2022-12-11,2022-10-06,2017-05-17,291,2.2453476983349656,40,3,5,"['eoresearchteamsinergise', 'google', 'sinergise']",,3.83,29,27,68,2,12,9,12,29.0,18.0,90.0,0.6,335,49.08687
+818,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,654,44,15,[],Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2022-12-18,2022-12-09,2022-07-01,24,26.771929824561404,6,1,5,['automl.org'],,2.31,23,22,6,0,0,0,0,23.0,45.0,90.0,2.0,0,24.61015
+620,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,646,36,7,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2022-12-15,2022-12-11,2020-07-11,127,5.075196408529742,22,1,5,['quansight'],,1.19,36,31,30,0,0,33,33,36.0,56.0,90.0,1.6,674,48.32703
+629,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,645,73,25,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2022-12-16,2022-06-22,2020-02-08,149,4.320574162679426,28,2,5,"['anaconda', 'makepath']",,1.52,82,14,35,6,5,13,5,82.0,11.0,90.0,0.1,12,33.40695
+882,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,643,60,13,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2022-12-17,2022-12-13,2019-11-26,159,4.022341376228776,1,0,5,[],,3.35,5,4,37,0,6,12,6,5.0,14.0,90.0,2.8,5,28.04128
+475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,636,114,35,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2022-12-16,2022-12-07,2017-09-22,273,2.3260188087774294,21,2,5,"['anaconda', 'azavea']",,0.46,18,8,64,0,0,13,13,18.0,54.0,90.0,3.0,2,40.92725
+741,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,635,51,13,"['scikit-learn', 'machine-learning', 'benchmark']",Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2022-12-18,2021-10-05,2020-07-11,127,4.988776655443322,5,3,5,"['explosion', 'floryn', 'nttdatabusinesssolutions']",,0.0,0,0,30,15,0,0,0,0.0,0.0,90.0,0.0,0,13.37378
+344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,632,64,17,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2022-12-17,2022-12-16,2019-08-14,174,3.617334423548651,35,2,5,"['princeton,iris-hep,pyhep,scikit-hep', 'purdueuniversity']",,10.04,362,309,41,0,42,61,42,362.0,923.0,90.0,2.5,26,53.68855
+637,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,631,31,8,"['python-devtools', 'python', 'devtools']",Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2022-12-15,2022-11-28,2017-08-20,278,2.268618387262455,10,2,5,"['pydantic', 'pyupio']",,0.29,10,4,65,1,2,3,2,10.0,20.0,90.0,2.0,85,38.40232
+640,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,624,161,18,['hacktoberfest'],Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2022-12-13,2022-12-05,2015-11-06,371,1.68,86,4,5,"['anaconda', 'coiled', 'confluentinc', 'steminc']",,1.06,31,25,87,0,0,5,5,31.0,104.0,90.0,3.4,75,54.34131
+397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,621,25,31,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2022-10-28,2022-08-12,2015-02-03,410,1.5114742698191934,13,2,5,"['faceapp', 'home']",,0.15,0,0,96,4,0,42,42,0.0,0.0,90.0,0.0,14,30.93081
+849,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,621,208,21,['hacktoberfest'],Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2022-12-15,2022-12-12,2016-03-16,352,1.7606318347509113,108,5,5,"['anaconda', 'coiled', 'fal-ai', 'microsoft', 'voltrondata']",,0.88,30,17,82,0,0,8,8,30.0,77.0,90.0,2.6,58,54.7017
+760,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,614,187,54,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2022-12-18,2021-10-14,2019-02-28,198,3.0920863309352518,8,1,5,['google'],,0.0,1,1,46,14,0,0,0,1.0,2.0,90.0,2.0,6,21.38058
+18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,613,102,18,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2022-12-16,2022-08-23,2020-06-23,129,4.720572057205721,12,2,5,"['explosion', 'founderexplosion']",,0.56,1,0,30,4,2,4,2,1.0,1.0,90.0,1.0,0,23.08956
+839,util,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,610,57,21,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2022-12-18,2022-12-18,2021-09-14,65,9.262472885032539,4,2,5,"['fireblocks', ""scott'sdevelopment""]",,0.5,21,17,15,0,0,0,0,21.0,45.0,90.0,2.1,0,26.25988
+595,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,601,113,34,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2022-12-18,2022-11-24,2018-06-12,235,2.548152634766808,16,3,5,"['alantech', 'softwareengineer,uber', 'unfoldedinc']",,0.52,22,14,55,1,4,5,4,22.0,50.0,90.0,2.3,149,44.47441
+680,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,588,76,16,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2022-12-12,2022-09-12,2015-11-25,368,1.5947307245253777,13,0,5,[],,0.08,3,0,86,3,0,3,3,3.0,4.0,90.0,1.3,383,32.61201
+796,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,582,109,13,"['network-visualization', 'python', 'networkx']",HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2022-12-17,2022-11-04,2018-05-10,240,2.4192399049881237,31,2,5,"['westhealth', 'westhealthinstitute']",,0.58,37,12,56,1,3,1,3,37.0,28.0,90.0,0.8,24,38.9846
+505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,573,130,29,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2022-12-16,2022-06-13,2019-04-30,189,3.018058690744921,21,2,5,"['argonnenationallaboratory', 'isti-cnr']",,1.67,10,1,44,6,2,2,2,10.0,3.0,90.0,0.3,20,30.83403
+117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,573,93,37,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2022-11-27,2021-01-31,2019-03-25,195,2.9384615384615387,8,1,5,['theincorporatedcounciloflawreportingforenglandandwales'],,0.0,0,0,45,23,0,0,0,0.0,0.0,90.0,0.0,0,11.0666
+831,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,570,82,15,"['attrs', 'deserialization', 'serialization']",Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2022-12-16,2022-12-09,2016-08-28,329,1.7317708333333333,44,2,5,"['google', 'pocketzworld']",,2.77,33,18,77,0,0,4,4,33.0,90.0,90.0,2.7,73,49.46393
+752,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,569,44,13,[],Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2022-12-17,2022-10-30,2022-09-04,15,37.575471698113205,2,1,5,['stanford'],,0.44,3,2,4,2,0,0,0,3.0,1.0,90.0,0.3,0,11.13917
+808,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,569,51,11,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate']",Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2022-12-18,2022-12-17,2020-10-05,115,4.947826086956522,12,3,5,"['fyndiq', 'gazprom-media', 'infosec']",,1.06,26,21,27,0,13,10,13,26.0,63.0,90.0,2.4,0,37.6061
+690,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,568,152,16,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2022-12-16,2022-12-14,2017-03-15,300,1.8888361045130642,81,3,5,"['lymaconsulting', 'onapsis', 'sncfconnect&techvoyages-sncf-technologies']",,5.46,87,69,70,0,9,6,9,87.0,296.0,90.0,3.4,0,49.03168
+889,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,562,209,47,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2022-12-17,2022-12-15,2019-05-17,187,2.9984756097560976,93,3,5,"['czechtechnicaluniversityinprague', 'mundialis', 'ncsu']",,6.92,198,117,44,0,15,37,15,198.0,394.0,90.0,2.0,187,58.16453
+167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,557,153,49,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2022-12-16,2022-08-10,2017-09-30,272,2.045645330535152,8,1,5,['bommaritoconsulting'],,0.06,5,0,64,4,0,0,0,5.0,2.0,90.0,0.4,17,23.70983
+567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,551,108,32,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2022-12-13,2022-05-24,2014-09-28,429,1.2839547270306257,1,1,5,['universityofsoutherncalifornia'],,0.13,0,0,100,7,0,1,1,0.0,0.0,90.0,0.0,0,12.98118
+259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,548,132,48,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2022-12-14,2022-12-08,2018-01-23,255,2.141820212171971,8,1,5,['capitalone'],,0.06,2,2,60,0,0,0,0,2.0,0.0,90.0,0.0,0,21.17183
+235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,547,105,18,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2022-12-17,2022-07-08,2021-08-16,70,7.814285714285714,3,1,5,['salesforceresearch'],,0.1,10,3,16,5,0,0,0,10.0,4.0,90.0,0.4,0,13.98874
+874,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,529,335,33,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",Python,https://ipython.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2022-12-15,2022-12-14,2015-04-09,401,1.3173247954464604,161,4,5,"['amazonwebservices', 'mongodb', 'quansight-labs', 'simularesearchlaboratory']",,4.9,77,59,94,0,29,14,29,77.0,132.0,90.0,1.7,1683,65.39877
+160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,528,63,10,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2022-12-18,2021-02-11,2017-06-11,288,1.8324243926623698,6,2,5,"['explosion', 'gerulatatechnologies']",,0.0,2,0,67,22,0,3,3,2.0,3.0,90.0,1.5,5,23.75867
+625,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,527,259,44,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2022-12-14,2022-12-16,2012-08-06,541,0.9741219963031423,99,1,5,['metoffice'],,6.63,257,160,126,0,10,7,10,257.0,387.0,90.0,1.5,46,53.76344
+516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,521,60,15,[],Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2022-12-15,2022-08-18,2022-03-03,41,12.532646048109966,1,1,5,['kakaobrain'],,0.08,3,2,10,4,0,0,0,3.0,4.0,90.0,1.3,0,12.6312
+685,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,520,39,22,[],Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2022-12-17,2022-12-09,2021-06-28,77,6.753246753246753,2,1,5,['nvidia'],,0.23,18,14,18,0,7,6,7,18.0,27.0,90.0,1.5,3,28.00019
+576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,520,226,21,[],Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2022-12-18,2022-12-12,2018-04-23,243,2.139917695473251,165,5,5,"['abcellerabiologics', 'anaconda', 'fal-ai', 'microsoft', 'nvidia']",,2.67,118,84,57,0,0,14,14,118.0,314.0,90.0,2.7,209,61.42906
+665,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,518,148,36,[],Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2022-11-30,2020-05-01,2020-01-20,152,3.4078947368421053,1,1,5,"['lightning-ai,universityofwisconsin-madison']",,0.0,2,1,35,32,0,0,0,2.0,1.0,90.0,0.5,6,11.97613
+306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,516,142,31,[],Python,,panoramix: Ethereum decompiler,palkeo,2022-12-15,2020-08-22,2020-02-17,148,3.4864864864864864,4,2,5,"['ethereum', 'eveem.org']",,0.0,5,2,34,28,0,1,1,5.0,4.0,90.0,0.8,0,16.02489
+525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,515,123,30,[],Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2022-12-07,2022-12-12,2011-06-19,600,0.858129016900738,39,4,5,"['hobu', 'planetlabs', 'universityofillinoisaturbana-champaign', 'universityofutah']",,0.75,11,10,140,0,2,1,2,11.0,26.0,90.0,2.4,25,47.17232
+883,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,514,92,16,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2022-12-14,2022-08-16,2020-02-15,148,3.466281310211946,6,1,5,['o9solutions'],,0.27,8,3,35,4,0,1,1,8.0,12.0,90.0,1.5,26,27.53577
+589,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,510,84,9,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2022-12-17,2022-12-16,2019-05-09,188,2.7045454545454546,38,2,5,"['kedro-org,quantumblacklabs', 'medshr']",,4.83,149,116,44,0,12,14,12,149.0,204.0,90.0,1.4,2,44.86311
+413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,507,85,17,[],Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2022-12-17,2022-09-27,2013-08-27,485,1.0435166127609528,28,2,5,"['quantco', 'self']",,0.37,30,13,113,3,6,2,6,30.0,99.0,90.0,3.3,0,37.30259
+359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,502,114,27,[],C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2022-12-16,2022-12-12,2019-01-15,204,2.4504881450488143,15,0,5,[],,0.56,4,2,48,0,7,9,7,4.0,28.0,90.0,7.0,20,37.8279
+671,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,494,26,26,[],Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2022-12-14,2022-08-09,2022-06-03,28,17.376884422110553,1,0,5,[],,0.1,0,0,7,4,3,5,3,0.0,0.0,90.0,0.0,0,5.70434
+241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,487,57,17,[],Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2022-12-15,2022-03-27,2021-07-10,75,6.468690702087287,2,1,5,['microsoft'],,0.04,2,0,18,9,0,0,0,2.0,1.0,90.0,0.5,2,12.52614
+673,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,485,9,9,[],Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2022-12-18,2022-12-15,2022-06-01,28,16.890547263681594,2,2,5,"['christianclauss', 'microsoft']",,1.0,3,1,7,0,10,17,10,3.0,11.0,90.0,3.7,0,26.98899
+797,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,485,52,14,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2022-12-18,2022-12-17,2022-04-29,33,14.508547008547009,6,1,5,['cityuniversityofhongkong'],,4.02,16,13,8,0,15,24,15,16.0,24.0,90.0,1.5,5,32.74247
+216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,481,63,9,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2022-12-17,2022-12-16,2020-01-13,153,3.1437908496732025,26,3,5,"['itmouniversity', 'mail.rugroup', 'wiredhut']",,5.02,175,137,36,0,4,3,4,175.0,167.0,90.0,1.0,0,40.60863
+794,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,480,195,23,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2022-12-17,2022-12-18,2018-09-28,220,2.1775761503564484,14,5,5,"['sacramentostate', 'unswsydney', 'usaceerdc-fieldresearchfacility', 'waterresearchlaboratory', 'waterresearchlaboratory(unsw)']",,1.4,53,36,51,0,3,3,3,53.0,109.0,90.0,2.1,17,45.16199
+47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,478,84,15,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2022-12-18,2022-12-16,2017-06-06,288,1.6547972304648864,13,2,5,"['automattic', 'kaizentech']",,1.0,21,15,67,0,3,5,3,21.0,10.0,90.0,0.5,27,38.43106
+487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,467,60,21,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2022-12-14,2022-12-09,2018-04-25,242,1.924072984108299,13,4,5,"['fatiando', 'fatiandoubcgifcompgeolabgeolatinas', 'spacescienceandengineeringcenter(ssec)', 'universityofliverpool']",,0.56,29,26,57,0,1,3,1,29.0,21.0,90.0,0.7,15,38.99012
+211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,464,88,21,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2022-12-17,2021-12-18,2020-01-28,150,3.0757575757575757,5,2,5,"['alanturinginstitute,firmai', 'ddosify']",,0.0,3,1,35,12,0,0,0,3.0,1.0,90.0,0.3,12,19.98707
+329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,459,61,17,[],Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2022-12-10,2022-07-26,2021-10-21,60,7.577830188679245,3,1,5,"['samsung-saitailab,montreal']",,0.29,1,0,14,5,0,0,0,1.0,3.0,90.0,3.0,0,16.27288
+497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,448,86,13,[],Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2022-12-12,2020-12-10,2019-05-22,186,2.399387911247131,3,1,5,['kentech'],,0.0,3,0,44,25,0,0,0,3.0,1.0,90.0,0.3,2,12.6167
+437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,datatile,447,40,13,"['pandas', 'pandas-summary', 'dataframes', 'data-analysis', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-summary', 'data-reporting', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-monitoring', 'data-quality-checks']",Python,,"datatile: A library for managing, validating, summarizing, and visualizing data",polyaxon,2022-12-17,2022-12-16,2016-03-25,351,1.2719512195121951,10,2,5,"['hospiq', 'sidhulabs']",,0.48,0,0,82,0,0,0,0,0.0,0.0,90.0,0.0,0,23.52189
+375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,445,52,11,[],Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2022-12-17,2021-11-06,2019-07-25,177,2.50603378921963,6,2,5,"['harvardmedicalschool', 'sap']",,0.0,2,0,41,14,0,4,4,2.0,0.0,90.0,0.0,0,16.92271
+479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,442,67,30,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2022-12-12,2022-12-07,2016-04-19,347,1.2706365503080082,28,1,5,['anaconda'],,0.69,19,11,81,0,3,10,3,19.0,20.0,90.0,1.1,10,38.1139
+872,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,437,12,6,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2022-12-17,2022-12-16,2022-04-25,34,12.852941176470589,5,3,5,"['eventual-inc', 'freenome', 'lyft']",,9.44,199,173,8,0,0,27,27,199.0,41.0,90.0,0.2,7,38.74243
+742,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,436,49,13,"['nlp', 'embeddings', 'visualisations']",Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2022-12-13,2022-07-28,2020-02-22,147,2.9602327837051408,13,4,5,"['explosion', 'kpmgnetherlands', 'motain', 'zalandose']",,0.27,1,1,34,5,1,9,1,1.0,2.0,90.0,2.0,0,26.77627
+573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,436,113,50,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2022-12-14,2020-11-19,2018-01-10,257,1.6917960088691797,15,4,5,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'planetlabs', 'regrow']",,0.0,2,1,60,25,0,3,3,2.0,1.0,90.0,0.5,9,27.20848
+582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,436,99,18,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2022-12-18,2022-12-17,2019-06-28,181,2.4031496062992126,28,4,5,"['developmentseed', 'ozminerals', 'satellogic', 'terradue']",,2.0,31,26,42,0,0,15,15,31.0,39.0,90.0,1.3,13,46.18049
+837,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,434,108,33,[],Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2022-12-07,2022-10-18,2013-09-18,482,0.8990825688073395,30,4,5,"['aiddata', 'ouranos', 'satellogic', 'southernmethodistuniversity']",,0.12,9,2,113,2,1,2,1,9.0,12.0,90.0,1.3,50,40.66959
+844,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,433,41,9,"['multiprocessing-library', 'python']",Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2022-12-13,2022-09-15,2015-12-25,364,1.1881615052920422,16,4,5,"['inria', 'inriasaclay-parietalteam', 'scikit-learninriafoundation', 'ucl']",,1.0,6,2,85,3,0,5,5,6.0,2.0,90.0,0.3,59,38.18507
+863,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,431,78,43,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2022-12-14,2022-12-16,2018-01-15,257,1.6770428015564203,70,2,5,"['astronomer', 'cerebral']",,8.96,113,109,60,0,29,69,29,112.0,78.0,90.0,0.7,133,54.59785
+292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,421,45,8,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2022-12-17,2022-09-27,2020-11-21,108,3.887862796833773,16,4,5,"['fastai', 'github', 'huggingface', 'streamlit']",,1.17,10,3,25,3,6,9,6,10.0,7.0,90.0,0.7,21,35.5147
+481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,418,124,78,[],Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2022-12-08,2020-05-11,2013-08-15,487,0.8573102842074422,20,5,5,"['applemontechnologies', 'google', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'urbansim']",,0.0,0,0,114,32,0,1,1,0.0,0.0,90.0,0.0,40,28.15977
+188,math,https://github.com/dit/dit,,,,dit/dit,dit,417,77,24,"['python', 'information-theory']",Python,http://docs.dit.io,dit: Python package for information theory.,dit,2022-12-13,2022-07-25,2013-09-29,481,0.8666864608076009,20,1,5,['google'],,0.92,4,0,112,5,1,3,1,4.0,7.0,90.0,1.8,269,36.87955
+486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,412,149,22,"['spatial-data', 'raster', 'vector', 'python', 'education']",Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2022-12-17,2021-12-20,2018-02-20,251,1.6358479863868407,41,4,5,"['hydrosat', 'nvidia', 'pyupio', 'silviaterra']",,0.0,28,21,59,12,0,7,7,28.0,43.0,90.0,1.5,60,41.4043
+705,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,406,18,9,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2022-12-13,2022-07-04,2020-11-17,108,3.729658792650919,4,2,5,"['bodywork-mllloydsbankinggroup', 'bodyworkmachinelearning']",,2.73,0,0,25,6,0,29,29,0.0,0.0,90.0,0.0,8,25.11896
+472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,405,25,11,[],Python,,google-research/byt5,google-research,2022-12-11,2022-03-02,2021-05-26,81,4.956293706293707,2,0,5,[],,0.04,1,0,19,10,0,0,0,1.0,0.0,90.0,0.0,0,5.047
+275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,397,60,16,[],Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2022-12-16,2022-12-01,2021-06-28,77,5.1558441558441555,6,2,5,"['py-world', 'tokenflowinsights']",,1.37,23,22,18,1,17,24,17,23.0,9.0,90.0,0.4,0,28.70451
+577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,393,50,10,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2022-12-16,2022-09-17,2015-04-09,401,0.9786552828175027,31,1,5,['mpsd&universityofsouthampton'],,0.21,5,1,94,3,0,2,2,5.0,2.0,90.0,0.4,44,33.0003
+722,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,389,45,10,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2022-12-18,2022-11-15,2013-10-16,478,0.8125932557445539,14,1,5,['getcujo'],,1.08,11,11,112,1,4,2,4,11.0,35.0,90.0,3.2,322,44.77938
+528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,386,79,27,"['multimodality', 'machine-learning', 'knowledge-base-construction']",Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2022-12-05,2021-06-23,2018-02-02,254,1.5171252105558675,14,2,5,"['https://snorkel.ai/', 'numbersstationai']",,0.0,0,0,59,18,0,6,6,0.0,0.0,90.0,0.0,23,24.8635
+841,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,383,17,6,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2022-12-16,2022-11-18,2022-10-22,8,46.224137931034484,1,0,5,[],,0.77,0,0,2,1,13,79,13,0.0,0.0,90.0,0.0,0,8.59194
+254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,383,84,18,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2022-12-17,2022-12-17,2020-08-12,122,3.121071012805588,25,2,5,"['amazon', 'amazonsearchandai']",,1.15,35,34,29,0,2,3,2,35.0,13.0,90.0,0.4,0,32.35651
+12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,379,146,53,"['python', 'machine-learning', 'dialogflow']",Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2022-12-09,2022-12-15,2017-10-24,268,1.4096705632306057,34,3,5,"['googleapis', 'googlecloud', 'mend']",,2.13,31,27,63,0,13,8,13,31.0,27.0,90.0,0.9,49,47.91162
+331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,370,20,8,"['recommender-system', 'machine-learning', 'qa-automation']",Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2022-12-13,2022-11-03,2021-11-08,58,6.379310344827586,7,2,5,"['digitalgreenorg', 'stanforduniversity']",,0.71,6,3,14,2,0,6,6,6.0,3.0,90.0,0.5,10,27.79074
+803,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,369,277,14,[],Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2022-12-16,2022-12-18,2019-11-08,162,2.271767810026385,167,4,5,"['lightstep', 'microsoftcorporation', 'signoz.io', 'splunk']",,5.38,246,164,38,0,11,11,11,246.0,335.0,90.0,1.4,35,56.10085
+492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,369,86,65,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2022-12-15,2022-12-16,2017-10-06,271,1.3594736842105264,21,3,5,"['amskepler', 'angloamerican', 'developmentseed']",,1.19,47,46,63,0,0,23,23,47.0,50.0,90.0,1.1,10,45.33027
+185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,366,51,10,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2022-12-16,2022-10-07,2020-08-17,122,3.0,3,1,5,['epfl'],,0.19,7,3,28,2,7,7,7,7.0,17.0,90.0,2.4,0,24.38965
+561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,366,66,14,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2022-11-22,2022-11-30,2016-09-08,327,1.1173135630178805,18,3,5,"['geogbristol', 'nordsoftware', 'ornl']",,0.08,7,1,76,1,0,1,1,7.0,6.0,90.0,0.9,3,32.38338
+522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,361,37,16,[],Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2022-12-14,2022-12-14,2019-06-10,184,1.9619565217391304,13,4,5,"['adonmo(adonmo)', 'astutespruce', 'gnsscience', 'nelen&schuurmans']",,0.19,21,21,43,0,2,6,2,21.0,14.0,90.0,0.7,321,43.60219
+49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,358,57,11,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository']",Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2022-12-17,2022-12-18,2015-08-03,385,0.9298701298701298,374,2,5,"['pypy,baroquesoftware', 'quansightlabs']",,13.0,1,0,90,0,0,22,22,1.0,0.0,90.0,0.0,3,45.88361
+496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,358,22,6,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2022-12-16,2022-11-29,2022-01-24,47,7.617021276595745,3,1,5,['linkedincorporation'],,0.23,7,2,11,1,3,3,3,7.0,11.0,90.0,1.6,0,20.70189
+499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,355,70,20,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2022-12-16,2021-07-26,2020-07-10,127,2.7858744394618835,2,0,5,[],,0.0,1,0,30,17,0,0,0,1.0,1.0,90.0,1.0,0,7.78837
+519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,354,49,13,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2022-11-28,2022-10-14,2016-03-28,351,1.0085470085470085,15,5,5,"['ambirobotics', 'leipziguniversity', 'prefix.devgmbh', 'resonance', 'westpac']",,0.1,6,1,82,2,0,0,0,6.0,3.0,90.0,0.5,4,31.18635
+756,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,349,29,4,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2022-12-16,2022-10-12,2022-09-13,13,25.185567010309278,1,0,5,[],,0.44,8,1,3,2,0,0,0,8.0,52.0,90.0,6.5,0,13.78734
+692,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,344,51,13,[],Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2022-12-18,2021-06-23,2019-06-27,181,1.8945712037765539,7,2,5,"['ukplab,tudarmstadt', 'xyzlab']",,0.0,1,0,42,18,0,0,0,1.0,0.0,90.0,0.0,0,13.6169
+586,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,343,46,16,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2022-12-18,2022-10-17,2018-03-30,246,1.3918840579710146,10,2,5,"['ornl', 'udl-ai']",,1.1,29,19,57,2,3,4,3,29.0,68.0,90.0,2.3,39,39.11614
+560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,342,56,12,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2022-12-13,2022-12-12,2019-04-16,191,1.7825763216679076,26,5,5,"['corteva', 'dtn', 'gnsscience', 'quantstack', 'smhi']",,2.5,43,21,45,0,16,16,16,43.0,75.0,90.0,1.7,3,45.92631
+786,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,339,22,6,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2022-12-16,2022-12-16,2021-11-18,56,5.992424242424242,13,2,5,"['blueshoe', 'blueshoeunikubehq']",,7.1,131,114,13,0,44,47,44,131.0,200.0,90.0,1.5,3,41.62193
+335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,339,101,12,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2022-12-16,2022-07-16,2021-11-14,57,5.9325,2,0,5,[],,0.06,1,0,13,5,0,0,0,1.0,0.0,90.0,0.0,12,10.29055
+848,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,338,62,116,"['satellite', 'pxm', 'imagery']",Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2022-12-17,2021-10-22,2014-02-12,461,0.7320544554455446,20,2,5,"['planetlabs', 'tudresden']",,0.0,3,0,108,14,0,4,4,3.0,0.0,90.0,0.0,111,30.95645
+340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,338,30,9,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2022-12-14,2020-09-06,2017-06-03,289,1.1683950617283951,2,1,5,['ooni/torproject/debian'],,0.0,1,0,67,28,0,0,0,1.0,0.0,90.0,0.0,0,9.00499
+158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,336,34,15,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2022-12-15,2022-11-29,2020-02-26,146,2.29016553067186,15,4,5,"['noteable-io', 'quantstack', 'seaspancorporation', 'willingconsulting']",,0.04,5,2,34,1,0,5,5,5.0,5.0,90.0,1.0,5,33.9918
+563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,336,34,23,[],Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2022-12-12,2022-08-28,2020-02-13,148,2.2615384615384615,16,4,5,"['azavea', 'mr', 'sylveraio', 'udl-ai']",,1.1,13,3,35,4,7,4,7,13.0,23.0,90.0,1.8,0,32.68949
+464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,333,46,9,[],Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2022-12-12,2022-07-09,2018-04-15,244,1.363955529549444,8,1,5,"['stability.ai,eleuther.ai']",,0.04,1,0,57,5,0,0,0,1.0,0.0,90.0,0.0,4,18.46735
+684,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,330,117,16,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2022-12-13,2022-10-20,2013-01-05,519,0.6354883081155434,45,4,5,"['paris-saclayuniversity', 'quicksign', 'ruhruniversitybochum', 'universitàdellasvizzeraitaliana(testingautomated-usi)']",,0.6,41,24,121,2,2,2,2,41.0,37.0,90.0,0.9,35,44.25724
+237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,329,58,12,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU,salesforce,2022-12-17,2022-12-02,2021-08-25,68,4.787941787941788,6,1,5,['salesforceresearch'],,3.21,14,11,16,1,2,2,2,14.0,11.0,90.0,0.8,15,29.4868
+664,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,327,176,18,[],Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2022-12-07,2020-12-03,2020-08-06,123,2.646242774566474,1,1,5,"['lightning-ai,universityofwisconsin-madison']",,0.0,0,0,29,25,0,0,0,0.0,0.0,90.0,0.0,2,7.63653
+747,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,326,75,13,[],Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2022-12-17,2022-09-20,2021-08-17,69,4.666666666666667,10,2,5,"['google', 'imasl-conicet']",,1.69,8,2,16,3,0,0,0,8.0,7.0,90.0,0.9,0,22.24857
+364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,325,146,40,[],Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2022-12-13,2021-08-26,2018-09-03,224,1.4508928571428572,41,2,5,"['google', 'ibm']",,0.0,1,0,52,16,0,1,1,1.0,1.0,90.0,1.0,113,31.65422
+745,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,322,75,12,"['python', 'wrapper', 'blosc', 'compression']",Python,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2022-12-14,2022-12-16,2010-09-30,637,0.5050414519381582,43,3,5,"['anaconda', 'cea', 'francescalted']",,0.92,43,41,149,0,1,4,1,43.0,66.0,90.0,1.5,167,49.63854
+719,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,321,122,15,[],JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2022-12-15,2022-12-02,2018-03-07,249,1.2854691075514875,11,4,5,"['rbccapitalmarkets', 'universityofflorida', 'weecology', 'weecology,univofflorida']",,0.71,29,14,58,1,0,13,13,29.0,53.0,90.0,1.8,119,45.85945
+594,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,315,257,31,[],Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2022-12-14,2022-12-12,2012-01-13,570,0.5522163786626596,138,3,5,"['geopythonwmo-imopengeospatial', 'opensourcegeospatialfoundation', 'planetlabs']",,0.9,20,7,133,0,4,7,4,20.0,28.0,90.0,1.4,308,53.69716
+510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,313,51,16,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",Python,,"keras_cv_attention_models: Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,gcvit,ghostnetv2,gmlp,halonet,hornet,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2022-12-15,2022-12-04,2021-08-02,72,4.347222222222222,4,3,5,"['koala-team', 'resmonicsag', 'wandb']",,7.21,14,13,17,0,19,68,19,14.0,35.0,90.0,2.5,0,36.27857
+473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,304,31,7,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2022-12-13,2022-10-05,2022-02-10,44,6.82051282051282,1,1,5,['cargeniemellon'],,0.6,0,0,10,2,0,0,0,0.0,0.0,90.0,0.0,0,9.30326
+500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,304,138,18,[],Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2022-12-17,2022-11-21,2020-11-18,108,2.7963206307490145,6,1,5,['google'],,0.1,0,0,25,1,0,0,0,0.0,0.0,90.0,0.0,9,19.35954
+430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,295,35,11,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2022-11-11,2022-07-18,2018-08-14,226,1.3003778337531486,7,3,5,"['imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'researchscientistatnvidia', 'sundellopensourceconsultingab']",,0.1,1,0,53,5,0,0,0,1.0,2.0,90.0,2.0,0,23.23875
+788,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,291,88,6,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2022-12-17,2021-01-15,2020-04-12,140,2.076452599388379,2,2,5,"['http://morconsulting.com/', 'occrp,the-markup']",,0.0,0,0,33,23,0,0,0,0.0,0.0,90.0,0.0,0,9.27945
+574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,278,84,50,[],Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2022-12-09,2021-02-16,2017-05-02,293,0.9460379192999514,6,2,5,"['developmentseed', 'element84']",,0.0,0,0,69,22,0,1,1,0.0,0.0,90.0,0.0,3,17.21887
+524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,277,91,11,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2022-12-14,2022-12-14,2016-06-25,338,0.8188344594594594,46,2,5,"['claranet', 'rancher']",,2.67,47,44,79,0,29,18,29,47.0,37.0,90.0,0.8,5,45.88168
+884,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,276,54,15,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",Jupyter Notebook,http://pastas.readthedocs.io/,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2022-12-17,2022-08-02,2016-04-15,348,0.7921279212792128,17,4,5,"['artesia-water', 'artesiawater', 'karl-franzensuniversityofgraz', 'tudelft']",,1.88,12,6,81,5,3,4,3,12.0,30.0,90.0,2.5,6069,50.62215
+727,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,275,14,18,[],JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2022-12-13,2022-12-09,2021-07-27,72,3.7745098039215685,7,2,5,"['freelance', 'rstudio']",,11.27,54,32,17,0,8,8,8,54.0,57.0,90.0,1.1,2,36.71642
+827,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorch,272,15,8,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",Python,https://kanchanchy.github.io/geotorch/,GeoTorch: A Spatiotemporal Deep Learning Framework,datasystemslab,2022-12-15,2022-11-27,2022-05-23,30,9.066666666666666,4,2,5,"['amberit', 'wherobots']",,1.96,5,3,7,1,0,0,0,6.0,9.0,90.0,1.5,2,23.13765
+123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,268,37,7,[],Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2022-12-14,2022-12-11,2013-03-05,510,0.5246085011185683,22,4,5,"['nordsoftware', 'pioneervalleybooks', 'programmersofvilnius', 'zestsoftware']",,0.6,4,4,119,0,0,6,6,4.0,8.0,90.0,2.0,789,51.42407
+852,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,264,11,6,[],Python,,hstream: Hyper Stream,conradbez,2022-12-12,2022-11-24,2022-11-03,6,40.17391304347826,5,1,5,['streamlit'],,0.79,9,9,2,1,0,0,0,9.0,8.0,90.0,0.9,0,16.24061
+210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,263,24,5,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2022-12-15,2021-05-28,2021-05-27,81,3.224168126094571,3,1,5,['belike'],,0.0,1,0,19,19,0,1,1,1.0,0.0,90.0,0.0,0,8.94624
+307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,263,140,18,"['ethereum', 'python', 'utility-library']",Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2022-12-03,2022-11-17,2017-02-07,305,0.8598785614198973,31,2,5,"['ethereum', 'ethereumfoundation']",,0.31,12,4,71,1,0,11,11,12.0,15.0,90.0,1.2,92,43.00575
+342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,263,19,4,['python'],Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2022-12-17,2022-12-15,2017-09-22,273,0.9618599791013585,5,1,5,['micaeljarniac'],,0.54,4,3,64,0,2,5,2,4.0,15.0,90.0,3.8,5,33.22458
+385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,263,35,7,[],Python,,contractions: Fixes contractions such as `you're` to you `are`,kootenpv,2022-12-17,2022-11-15,2016-12-25,312,0.8425629290617849,14,2,5,"['japan', 'vankootenaisolutions/mgnr.io']",,0.23,2,0,73,1,0,0,0,2.0,1.0,90.0,0.5,16,29.64106
+508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,258,57,14,[],JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2022-12-12,2022-12-17,2019-08-19,174,1.4827586206896552,33,1,5,['spectatorpublishingcorrelation-one'],,16.15,76,64,41,0,6,6,6,76.0,85.0,90.0,1.1,80,47.53465
+303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,257,27,8,[],Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2022-12-17,2022-01-04,2021-08-27,68,3.755741127348643,2,1,5,['coinbase'],,0.02,0,0,16,12,0,0,0,0.0,0.0,90.0,0.0,0,7.1275
+418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,256,17,6,['pandas'],Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2022-12-12,2022-04-17,2018-01-25,255,1.0016769144773616,5,2,5,"['apple', 'bigabid']",,0.38,2,0,60,8,0,0,0,2.0,1.0,90.0,0.5,0,18.06195
+670,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,252,78,26,[],C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2022-12-15,2022-10-19,2015-03-14,405,0.6217835741980966,21,1,5,['geometryfactory'],,2.4,12,7,95,2,3,0,3,12.0,8.0,90.0,0.7,4,33.34485
+693,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,251,27,13,[],Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2022-12-06,2022-03-09,2018-12-07,210,1.1928038017651053,8,2,5,"['https://alefnula.io', 'metaai']",,0.04,2,1,49,9,0,4,4,2.0,1.0,90.0,0.5,0,21.30531
+587,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,249,6,14,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2022-12-07,2022-11-17,2022-02-11,44,5.604501607717042,12,3,5,"['idealointernetgmbh', 'merantix&pw-solutions', 'merantixlabs']",,1.87,17,14,10,1,12,15,12,17.0,21.0,90.0,1.2,0,31.65446
+374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,249,63,11,[],Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2022-11-15,2019-02-09,2017-12-08,262,0.9488296135002722,4,1,5,['nomitri-perceptionaiformobile'],,0.0,4,1,61,47,0,0,0,4.0,1.0,90.0,0.2,0,10.83856
+300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,248,47,7,[],Python,,openai/grade-school-math,openai,2022-12-18,2021-11-19,2021-10-20,60,4.084705882352941,2,1,5,['openai'],,0.0,1,0,14,13,0,0,0,1.0,0.0,90.0,0.0,2,9.05355
+248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,247,19,9,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2022-10-23,2019-11-13,2016-09-07,327,0.7537053182214473,23,2,5,"['avira', 'engineeringstableauto']",,0.0,0,0,76,38,0,0,0,0.0,0.0,90.0,0.0,0,15.83822
+714,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,246,38,4,"['machine-learning', 'mlops', 'hacktoberfest']",Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2022-12-16,2022-12-16,2021-11-17,56,4.337531486146096,15,2,5,"['letsopen-source', 'unionai']",,4.79,76,46,13,0,17,16,17,76.0,127.0,90.0,1.7,2,39.51596
+480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,245,21,22,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2022-12-16,2022-12-16,2019-10-28,164,1.4939024390243902,9,3,5,"['anaconda', 'datum-tech', 'hextechnologies']",,0.31,8,7,38,0,2,12,2,8.0,2.0,90.0,0.2,2,30.26737
+454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,243,59,16,[],Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2022-12-06,2022-06-19,2013-12-06,471,0.5154545454545455,12,3,5,"['datamade', 'nlt', 'openaddressesdevelopmentseed']",,0.38,3,0,110,6,1,2,1,3.0,7.0,90.0,2.3,0,28.47583
+276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,239,60,13,[],Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2022-12-14,2022-12-05,2021-07-26,73,3.2739726027397262,7,2,5,"['py-world', 'tokenflowinsights']",,0.71,9,9,17,0,0,0,0,9.0,8.0,90.0,0.9,0,25.0426
+864,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,239,87,44,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2022-12-13,2022-12-16,2020-01-22,151,1.5753295668549905,48,3,5,"['astronomer', 'cerebral', 'mandolin-dev']",,1.58,29,29,35,0,18,29,18,29.0,14.0,90.0,0.5,14,44.48687
+277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,238,47,30,[],Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2022-12-15,2022-05-09,2017-02-22,303,0.7836312323612418,12,2,5,"['airbnb', 'datascientistatnetflix']",,0.04,0,0,71,7,1,13,1,0.0,0.0,90.0,0.0,0,19.16977
+588,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,235,27,8,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2022-12-18,2022-05-02,2020-03-17,143,1.6335650446871897,4,0,5,[],,0.06,8,0,34,8,0,9,9,8.0,3.0,90.0,0.4,0,14.93178
+657,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,234,46,10,[],Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2022-12-07,2022-12-01,2018-11-26,212,1.1037735849056605,59,3,5,"['iter8ve', 'mozilla', 'redhat']",,0.67,7,7,49,1,5,16,5,7.0,17.0,90.0,2.4,1216,50.88298
+870,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,233,36,23,[],Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2022-12-10,2022-12-08,2019-11-27,159,1.4588550983899822,12,1,5,['thoughtmachine'],,1.54,7,6,37,0,4,2,4,7.0,9.0,90.0,1.3,8,34.12383
+515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,233,109,14,"['data-science', 'machine-learning', 'datasets', 'python']",Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2022-12-18,2022-11-01,2020-09-17,117,1.9817739975698663,3,2,5,"['jovian', 'jovianml']",,0.13,2,0,27,2,0,0,0,2.0,0.0,90.0,0.0,3,18.15162
+229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,232,23,10,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2022-12-11,2022-09-13,2020-06-15,131,1.7709923664122138,5,1,5,['microsoft'],,0.02,1,1,31,3,0,3,3,1.0,0.0,90.0,0.0,0,16.91704
+737,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,227,32,7,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2022-12-18,2022-12-16,2022-05-04,32,6.93886462882096,9,2,5,"['huggingface', 'jsainsburyplc,sainsburys-tech']",,2.48,138,104,8,0,4,6,4,138.0,530.0,90.0,3.8,4,38.30099
+83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,226,45,12,[],Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2022-12-16,2022-11-26,2017-09-17,274,0.8243877019280875,11,1,5,['lumoanalytics'],,0.48,23,16,64,1,0,4,4,23.0,58.0,90.0,2.5,26,37.72237
+274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,215,49,23,[],Python,http://amzn.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2022-12-16,2022-12-12,2016-04-07,349,0.615038823048631,25,2,5,"['amazon', 'amzn']",,0.33,13,5,82,0,3,2,3,13.0,6.0,90.0,0.5,16,38.05117
+491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,213,30,44,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2022-12-16,2022-10-26,2018-03-09,249,0.8539518900343642,13,3,5,"['developmentseed', 'regrowag', 'uav4geo']",,0.63,4,3,58,2,0,12,12,4.0,6.0,90.0,1.5,11,37.22211
+888,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,205,26,5,"['python', 'roadmap', 'tutorial']",Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2022-12-18,2022-12-13,2022-11-03,6,31.195652173913043,1,1,5,['oznadigitalsolutions'],,0.92,2,0,2,0,0,0,0,2.0,4.0,90.0,2.0,0,14.54184
+249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,204,77,13,[],Python,,bilhim/trafficsimulator,bilhim,2022-12-12,2021-09-07,2021-09-05,67,3.0382978723404257,2,0,5,[],,0.0,0,0,16,16,0,0,0,0.0,0.0,90.0,0.0,4,5.92078
+243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,198,42,5,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2022-12-16,2022-09-07,2020-12-09,105,1.872972972972973,7,1,5,['bezerocarbon'],,0.81,1,0,25,3,0,0,0,1.0,0.0,90.0,0.0,0,15.22609
+240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,198,32,9,[],Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2022-12-14,2021-11-11,2020-12-11,105,1.8780487804878048,2,0,5,[],,0.0,0,0,25,13,0,0,0,0.0,0.0,90.0,0.0,2,6.52341
+865,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,197,27,13,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",Python,https://docs.astronomer.io/learn/astro-python-sdk-etl,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2022-12-18,2022-12-18,2021-12-06,54,3.6481481481481484,32,2,5,"['astronomer', 'astronomerio']",,13.54,677,489,13,0,42,49,42,677.0,784.0,90.0,1.2,112,52.56646
+836,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,195,57,14,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2022-12-15,2022-11-18,2013-01-06,519,0.3756191524490919,4,2,5,"['universityofcolorado', 'universityofidaho']",,0.79,9,1,121,1,2,2,2,9.0,5.0,90.0,0.6,84,34.882
+733,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,194,48,6,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2022-12-02,2022-11-05,2020-04-01,141,1.3689516129032258,10,2,5,"['carnegiemellonuniversity', 'universityofcambridge']",,2.85,8,5,33,1,0,0,0,8.0,27.0,90.0,3.4,12,34.90097
+859,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,193,142,26,[],Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2022-12-01,2022-12-18,2015-04-09,401,0.48061188189256493,70,4,5,"['mongodb', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory']",,3.35,40,30,94,0,9,4,9,40.0,40.0,90.0,1.0,1138,57.95342
+456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,190,23,4,"['machine-learning', 'python', 'addresses-parsing']",Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2022-12-16,2022-12-01,2020-07-01,128,1.4761376248612652,6,1,5,['baseline.québec'],,4.54,17,15,30,1,20,18,20,17.0,15.0,90.0,0.9,34,36.85866
+337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,189,24,5,[],C,,mrabarnett/mrab-regex,mrabarnett,2022-12-17,2022-10-31,2020-11-02,111,1.7027027027027026,9,2,5,"['facebook', 'google']",,0.31,7,6,26,2,0,6,6,7.0,15.0,90.0,2.1,2311,42.54368
+446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,184,32,13,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2022-12-14,2022-12-14,2019-03-01,198,0.9272858171346292,15,3,5,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'ornl']",,6.38,75,58,46,0,3,3,3,75.0,73.0,90.0,1.0,104,46.87672
+207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,181,42,13,[],Python,,aws/aws-lambda-python-runtime-interface-client,aws,2022-12-18,2022-08-16,2020-09-02,119,1.5119331742243436,21,2,5,"['356', 'amazonwebservices']",,0.31,7,1,28,4,0,3,3,7.0,6.0,90.0,0.9,2,27.78369
+467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,181,14,5,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2022-12-18,2022-12-18,2020-12-06,106,1.705248990578735,3,2,5,"['adevinta', 'czechtechnicaluniversity']",,7.31,1,1,25,0,16,17,16,1.0,0.0,90.0,0.0,0,26.83212
+899,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,181,16,13,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2022-12-15,2021-01-18,2017-11-12,266,0.6800858829844337,5,2,5,"['eradb', 'mapbox']",,0.0,1,0,62,23,0,3,3,1.0,0.0,90.0,0.0,0,15.66025
+520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,179,51,11,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2022-12-15,2022-12-09,2020-05-26,133,1.3372465314834578,1,0,5,[],,0.13,2,0,31,0,0,0,0,2.0,11.0,90.0,5.5,0,19.32606
+585,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,176,28,17,[],Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2022-12-08,2022-10-24,2018-09-19,221,0.7938144329896907,9,5,5,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'mansueto-institute', 'ornl', 'universityofnorthtexas']",,0.94,4,2,52,2,4,7,4,4.0,1.0,90.0,0.2,16,33.9214
+731,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,175,17,8,[],Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2022-12-15,2021-04-05,2021-03-29,90,1.9444444444444444,2,0,5,[],,0.0,0,0,21,21,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
+266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,174,30,6,[],Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2022-12-16,2022-12-09,2020-12-10,105,1.6481732070365358,9,3,5,"['allenai', 'castedo.com', 'kafkodersfrontiersin']",,0.13,6,5,25,0,0,0,0,6.0,2.0,90.0,0.3,0,25.05772
+33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,171,71,13,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",Python,,address-net: A package to structure Australian addresses,jasonrig,2022-12-01,2020-09-09,2018-12-05,210,0.8115254237288135,2,2,5,"['deceptiveai', 'monash-mercpay-baymax']",,0.0,2,0,49,28,0,0,0,2.0,5.0,90.0,2.5,0,15.83578
+461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,165,23,7,[],Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2022-12-11,2022-09-17,2021-11-26,55,2.9768041237113403,6,0,5,[],,0.12,7,2,13,3,0,0,0,7.0,1.0,90.0,0.1,0,11.24106
+415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,163,33,12,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2022-12-17,2022-12-09,2021-07-05,76,2.1447368421052633,1,1,5,['google'],,0.1,0,0,18,0,2,5,2,0.0,0.0,90.0,0.0,0,14.66177
+819,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,161,22,5,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2022-12-17,2022-11-03,2022-06-27,25,6.44,2,0,5,[],,0.21,3,1,6,2,0,0,0,3.0,9.0,90.0,3.0,0,12.75654
+339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,160,17,9,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2022-11-30,2021-11-15,2021-10-26,59,2.6730310262529833,2,1,5,['singaporeuniversityoftechnologyanddesign'],,0.0,1,1,14,13,0,0,0,1.0,0.0,90.0,0.0,0,7.56236
+890,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,159,0,9,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2022-12-15,2022-11-28,2022-11-28,3,53.0,2,0,5,[],,0.77,4,0,1,1,0,0,0,4.0,0.0,90.0,0.0,0,5.11876
+743,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,158,135,7,[],Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2022-12-15,2021-10-21,2020-03-01,146,1.0811339198435972,1,1,5,['explosion'],,0.0,0,0,34,14,0,0,0,0.0,0.0,90.0,0.0,5,10.60689
+775,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,145,86,43,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2022-12-14,2022-09-14,2014-06-18,443,0.3267868641339343,25,5,5,"['cambridgesystematics|georgiatech', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'ptvgroup', 'rsginc']",,2.9,43,19,104,3,4,2,4,43.0,68.0,90.0,1.6,28,45.77213
+606,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,142,14,12,[],Python,,pyscript-cli: A CLI for PyScript,pyscript,2022-12-16,2022-12-13,2022-05-01,33,4.2844827586206895,7,1,5,['anaconda'],,1.35,5,4,8,0,0,9,9,5.0,4.0,90.0,0.8,0,24.94297
+869,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,138,25,4,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2022-12-15,2022-12-03,2018-09-22,221,0.6236281471917366,12,1,5,['nordsoftware'],,1.42,14,13,52,0,3,6,3,14.0,11.0,90.0,0.8,8,34.33206
+901,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,137,20,7,[],Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2022-12-17,2022-12-15,2022-09-12,14,9.785714285714286,5,5,5,"['amazon', 'amazonai', 'amazonwebservices', 'hongkonguniversityofscienceandtechnology', 'universityoftennessee']",,0.71,39,38,3,0,0,0,0,39.0,46.0,90.0,1.2,0,26.47835
+231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,136,27,3,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2022-12-14,2022-06-10,2020-07-06,128,1.0625,2,1,5,['freshflowai'],,0.02,4,0,30,6,0,0,0,4.0,2.0,90.0,0.5,0,12.95187
+826,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,134,10,4,[],Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2022-12-16,2022-12-14,2022-10-31,7,19.142857142857142,2,1,5,['awesomehamster'],,1.29,22,16,2,0,0,0,0,22.0,74.0,90.0,3.4,0,20.95058
+564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,134,8,8,[],Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2022-12-16,2022-12-18,2020-03-27,142,0.9408224674022067,8,2,5,"['astutespruce', 'udl-ai']",,1.87,43,29,33,0,6,3,6,43.0,84.0,90.0,2.0,5,38.2158
+147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,132,33,9,"['markov-clustering', 'clustering', 'python', 'networks']",Python,,markov_clustering: markov clustering in python,guyallard,2022-11-15,2018-12-11,2017-09-27,272,0.48402304871660556,3,0,5,[],,0.0,2,1,64,49,0,0,0,2.0,1.0,90.0,0.5,0,7.43119
+774,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,131,71,24,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2022-12-06,2022-12-12,2013-12-29,468,0.27982911199267624,58,1,5,['codeworksfrance'],,3.31,61,35,109,0,0,43,43,62.0,83.0,90.0,1.3,53,50.57802
+785,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,128,7,3,[],TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2022-12-12,2022-05-13,2020-11-28,107,1.193075898801598,2,0,5,[],,0.08,2,0,25,7,0,0,0,2.0,0.0,90.0,0.0,0,6.81611
+290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,125,35,4,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2022-12-13,2022-07-02,2020-06-21,130,0.960482985729967,2,1,5,['amzn'],,0.04,0,0,30,6,0,0,0,0.0,0.0,90.0,0.0,0,10.15293
+583,web,https://github.com/developmentseed/fastai-serving,,,,developmentseed/fastai-serving,fastai-serving,121,11,8,"['machine-learning', 'python', 'deep-learning', 'pytorch', 'docker']",Python,,"fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving",developmentseed,2022-04-08,2020-02-10,2019-07-01,181,0.6685082872928176,2,1,5,['cloud-gov(work)+personalprojects;'],,0.0,0,0,42,35,0,0,0,0.0,0.0,90.0,0.0,0,6.87157
+305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,121,3,3,[],Python,,pytrait: Traits for Python3,xrudelis,2022-11-15,2021-11-27,2021-11-21,56,2.1552162849872776,2,0,5,[],,0.0,0,0,13,13,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
+555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,118,30,0,[],,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2022-12-12,2021-12-10,2022-01-09,49,2.4011627906976742,29,3,5,"['canoapbc', 'grid.ai|pytorchlightning', 'universityoftexasatdallas']",,0.0,0,0,11,12,0,11,11,0.0,0.0,90.0,0.0,38,27.00509
+316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,117,13,3,[],C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2022-11-22,2022-11-15,2019-06-30,181,0.6458990536277602,4,1,5,['closedlooplabs'],,0.44,4,4,42,1,7,9,7,4.0,6.0,90.0,1.5,8,29.75635
+571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,113,27,11,"['geojson', 'pydantic', 'geojson-spec']",Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2022-11-29,2022-12-16,2020-05-21,134,0.8397027600849257,19,3,5,"['bigbear.ai', 'cloud-gov(work)+personalprojects;', 'developmentseed']",,1.21,4,1,31,0,0,6,6,4.0,3.0,90.0,0.8,5,35.69967
+893,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,110,45,9,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2022-12-13,2020-03-20,2019-04-23,190,0.5763473053892215,3,2,5,"['cimat', 'inriaresearchcenter']",,0.0,0,0,44,33,0,0,0,0.0,0.0,90.0,0.0,0,9.90736
+407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,109,23,12,"['python', 'apache-beam', 'weather']",Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2022-12-14,2022-12-13,2021-11-22,56,1.9464285714285714,25,1,5,['infocuspinnovationspvt.ltd.'],,2.19,48,25,13,0,8,8,8,48.0,29.0,90.0,0.6,0,31.70445
+466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,105,7,3,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2022-11-08,2022-04-18,2021-12-29,50,2.0704225352112675,2,1,5,['argilla'],,0.27,0,0,12,8,0,0,0,0.0,0.0,90.0,0.0,0,7.74479
+463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,102,7,3,[],Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2022-12-16,2022-11-20,2022-02-18,43,2.348684210526316,2,0,5,[],,0.4,7,7,10,1,0,0,0,7.0,21.0,90.0,3.0,0,16.54447
+527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,99,14,20,[],Python,,hazyresearch/domino,hazyresearch,2022-12-16,2022-08-02,2021-11-29,55,1.8,6,0,5,[],,1.19,4,1,13,5,1,6,1,4.0,0.0,90.0,0.0,6,15.10553
+847,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,97,12,4,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2022-12-04,2022-11-01,2022-07-11,23,4.217391304347826,1,1,5,['saintlouisuniversity'],,0.96,0,0,5,2,1,2,1,0.0,0.0,90.0,0.0,0,9.39903
+533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,96,23,9,[],Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2022-12-06,2022-07-21,2021-08-30,68,1.411764705882353,2,1,5,['ohiostateuniversity'],,0.85,1,0,16,5,0,0,0,1.0,1.0,90.0,1.0,0,13.45798
+529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,96,23,18,[],Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2022-12-01,2020-05-27,2018-03-23,247,0.38799076212471134,6,3,5,"['https://snorkel.ai/', 'numbersstationai', 'vodafone']",,0.0,0,0,58,31,0,3,3,0.0,0.0,90.0,0.0,0,16.15219
+457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,95,22,6,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2022-12-08,2022-11-04,2021-09-27,64,1.484375,2,0,5,[],,0.6,4,4,15,1,0,0,0,4.0,11.0,90.0,2.8,8,20.76397
+781,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,95,20,4,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2022-11-07,2022-08-23,2016-12-01,315,0.30104119511090993,6,5,5,"['cirad', 'faoopenforis', 'lancasteruniversity', 'uiuc', 'weecology,univofflorida']",,0.56,1,0,74,4,1,0,1,1.0,0.0,90.0,0.0,22,28.9049
+558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,37,10,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2022-12-09,2016-08-12,331,0.2806034482758621,8,3,5,"['actions', 'udl-ai', 'universityofliverpool']",,0.83,3,0,77,0,1,2,1,3.0,1.0,90.0,0.3,79,35.75315
+835,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,91,8,3,[],Python,,jellezijlstra/autotyping,jellezijlstra,2022-12-18,2022-12-18,2021-06-25,77,1.1752767527675276,6,3,5,"['quora', 'sendcloud', 'softformance']",,0.25,12,7,18,0,2,1,2,12.0,23.0,90.0,1.9,3,31.95208
+534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,90,10,1,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2022-09-11,2022-12-17,2022-02-28,42,2.142857142857143,1,1,5,['isomorphiclabs'],,1.98,0,0,10,0,1,1,1,0.0,0.0,90.0,0.0,0,14.29446
+667,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,90,13,7,[],Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2022-12-17,2022-11-10,2022-03-23,38,2.3247232472324724,1,0,5,[],,0.4,7,2,9,1,0,0,0,7.0,19.0,90.0,2.7,0,14.18236
+744,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,88,19,4,[],Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2022-11-21,2022-12-16,2020-12-02,106,0.8246318607764391,8,2,5,"['aiqc', 'deuteronomyworks']",,8.5,0,0,25,0,0,0,0,0.0,0.0,90.0,0.0,2,25.25604
+485,gis,https://github.com/scisco/area,,,,scisco/area,area,87,19,3,[],Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-12-14,2018-10-31,2015-11-25,368,0.23595505617977527,3,0,5,[],,0.0,0,0,86,50,0,0,0,0.0,0.0,90.0,0.0,0,5.13983
+269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,83,6,3,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-11-26,2021-06-26,2016-05-17,343,0.2413793103448276,7,3,5,"['deepsourcelabs', 'investnext', 'quantifiedcode']",,0.0,0,0,80,18,0,0,0,0.0,0.0,90.0,0.0,0,16.10308
+746,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,82,10,3,"['parquet', 'parquet-tools', 'cli']",Python,,parquet-tools: easy install parquet-tools,ktrueda,2022-12-07,2022-06-14,2020-05-02,137,0.5972944849115505,10,2,5,"['discogs', 'shopify']",,0.1,2,0,32,6,2,6,2,2.0,0.0,90.0,0.0,5,21.9127
+562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,81,19,11,[],Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2022-12-06,2022-12-15,2021-05-21,82,0.9826689774696707,17,2,5,"['quantstack', 'udl-ai']",,1.13,9,6,19,0,7,10,7,9.0,5.0,90.0,0.6,0,30.65109
+668,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,80,7,2,[],Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2022-11-10,2021-09-17,2021-05-18,82,0.9655172413793104,1,0,5,[],,0.0,0,0,19,15,0,0,0,0.0,0.0,90.0,0.0,0,2.46223
+842,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,79,4,1,"['jupyter', 'pandas', 'python']",Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2022-12-04,2022-12-16,2022-03-24,38,2.0481481481481483,2,2,5,"['cmu', 'cmu,apple']",,3.58,94,70,9,0,0,0,0,94.0,41.0,90.0,0.4,0,24.1815
+769,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,79,14,3,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-18,2022-12-09,2019-02-05,201,0.3913658881811748,226,4,5,"['appfolio', 'billy', 'indeed', 'netflix']",,4.1,29,26,47,0,2,3,2,29.0,12.0,90.0,0.4,14,48.02319
+327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,75,19,8,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2022-12-14,2022-12-14,2019-10-10,166,0.4502572898799314,15,3,5,"['nginxinc', 'sonatype', 'sonatypecyclonedx']",,1.0,5,4,39,0,12,41,12,5.0,8.0,90.0,1.6,30,41.82917
+851,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,72,2,4,[],Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2022-12-16,2022-11-02,2022-10-22,8,8.689655172413794,1,1,5,['quansight'],,0.96,6,3,2,2,0,0,0,6.0,1.0,90.0,0.2,2,11.50637
+530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,72,13,14,[],Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2022-09-23,2020-02-02,2019-09-29,168,0.4282073067119796,3,2,5,"['azerbaijanpug', 'tum,imperialcollege,openmined']",,0.0,0,0,39,35,0,4,4,0.0,0.0,90.0,0.0,11,16.80633
+584,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,70,19,8,[],Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2022-12-14,2022-11-21,2019-05-14,187,0.3726235741444867,8,3,5,"['developmentseed', 'regrowag', 'satellogic']",,0.44,7,6,44,1,0,11,11,7.0,7.0,90.0,1.0,6,34.77557
+234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,65,18,12,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2022-11-17,2022-04-01,2019-09-17,169,0.3826745164003364,35,2,5,"['blockchains', 'sni']",,3.81,2,0,40,9,0,28,28,2.0,2.0,90.0,1.0,3,33.49362
+568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,64,4,2,[],Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-12-13,2021-03-05,2020-04-13,140,0.45714285714285713,1,1,5,['universityofsoutherncalifornia'],,0.0,0,0,33,22,0,0,0,0.0,0.0,90.0,0.0,2,8.24433
+453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,61,25,9,[],Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2022-11-08,2022-11-29,2021-02-04,97,0.6251830161054173,5,3,5,"['calthorpeanalytics', 'carto', 'google']",,0.79,6,3,23,1,0,3,3,6.0,3.0,90.0,0.5,4,28.2204
+535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,57,1,3,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2022-11-26,2022-08-07,2022-01-20,47,1.1981981981981982,3,3,5,"['emcdestudent', 'regrowag', 'rsc4earth|universityofleipzig']",,1.06,0,0,11,4,1,1,1,0.0,0.0,90.0,0.0,0,15.24661
+521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,55,14,4,[],Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2022-12-16,2020-09-03,2018-09-05,223,0.24584929757343552,2,0,5,[],,0.0,1,0,52,28,0,0,0,1.0,0.0,90.0,0.0,0,4.99287
+854,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2022-09-22,2019-09-18,169,0.32407407407407407,10,1,5,['backticktechnologies'],,0.33,13,2,40,3,3,14,3,13.0,2.0,90.0,0.2,0,22.04893
+816,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,51,7,6,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2022-12-15,2022-12-15,2022-10-14,9,5.409090909090909,4,2,5,"['amazon', 'amazonwebservices(aws)']",,0.5,9,5,2,0,3,18,3,9.0,16.0,90.0,1.8,0,22.89248
+326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,50,91,10,"['snyk', 'python', 'api']",Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2022-11-04,2022-12-12,2019-02-03,202,0.24734982332155478,22,3,5,"['gitpod-io', 'replicated.com', 'snyk']",,0.29,10,1,47,0,8,5,8,10.0,4.0,90.0,0.4,4,35.76346
+400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,47,8,3,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2022-12-09,2022-12-10,2020-06-20,130,0.3607456140350877,2,0,5,[],,1.62,6,6,30,0,0,2,2,6.0,0.0,90.0,0.0,0,17.7477
+401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,43,13,4,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2022-12-16,2022-12-10,2021-09-27,64,0.671875,1,0,5,[],,0.63,0,0,15,0,0,2,2,0.0,0.0,90.0,0.0,0,11.50913
+202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,37,8,1,[],Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2022-12-18,2022-11-19,2021-03-13,92,0.40092879256965946,1,1,5,['viennauniversityofeconomicsandbusiness(wu)'],,1.71,0,0,22,1,0,0,0,0.0,0.0,90.0,0.0,0,13.00466
+776,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,37,27,11,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2022-08-23,2021-11-19,2017-02-14,304,0.12136832239925023,9,2,5,"['ptvgroup', 'rsginc']",,0.0,1,0,71,13,0,1,1,1.0,3.0,90.0,3.0,0,23.36645
+821,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,35,2,3,[],Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2022-12-14,2022-12-16,2020-10-26,112,0.3125,1,0,5,[],,0.29,7,7,26,0,9,9,9,7.0,12.0,90.0,1.7,0,21.63002
+386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,35,5,1,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2022-10-19,2022-09-28,2020-11-19,108,0.3223684210526316,4,0,5,[],,0.17,2,1,25,3,2,2,2,2.0,13.0,90.0,6.5,0,21.05313
+333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,3,3,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2022-11-16,2021-12-16,52,0.6086956521739131,4,1,5,['epfl'],,0.98,27,20,12,1,7,7,7,27.0,38.0,90.0,1.4,0,25.43196
+711,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,30,1,7,[],Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-10-27,2021-06-28,2019-10-24,164,0.18229166666666666,6,1,5,['argonnenationallaboratory'],,0.0,1,1,38,18,0,2,2,1.0,1.0,90.0,1.0,0,16.39984
+502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2022-12-03,2021-05-21,82,0.3396880415944541,1,1,5,['gafag'],,0.17,0,0,19,0,0,2,2,0.0,0.0,90.0,0.0,0,14.89266
+894,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,27,9,9,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2022-12-16,2020-01-02,2016-03-22,351,0.07673568818514007,7,2,5,"['aaltouniversity', 'pyupio']",,0.0,0,0,82,36,0,0,0,0.0,0.0,90.0,0.0,0,13.11651
+688,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,3,1,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2022-11-26,2022-06-06,2022-03-22,38,0.5919117647058824,3,1,5,['mit-ibmwatsonailab'],,0.31,0,0,9,6,1,1,1,0.0,0.0,90.0,0.0,0,9.80233
+37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,[],Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2022-11-02,2014-08-04,437,0.04805491990846682,8,0,5,[],,0.04,1,0,102,2,0,0,0,1.0,0.0,90.0,0.0,5,18.50268
+840,data,https://github.com/codait/pardata,,,,codait/pardata,pardata,18,5,11,"['dataset', 'python', 'machine-learning', 'artificial-intelligence', 'data-science']",Python,https://pardata.readthedocs.io/en/latest/,codait/pardata,codait,2022-08-14,2021-12-01,2020-11-17,108,0.16535433070866143,7,2,5,"['google', 'ibmcodait']",,0.0,7,0,25,13,0,3,3,7.0,0.0,90.0,0.0,0,16.56351
+578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,17,4,0,[],Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2022-11-15,2022-01-30,2021-12-04,54,0.3131578947368421,10,1,5,['adobe'],,0.02,1,0,13,11,0,14,14,1.0,0.0,90.0,0.0,31,21.96317
+679,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2022-12-06,2021-01-21,99,0.1606886657101865,2,0,5,[],,0.48,1,1,23,0,2,3,2,1.0,1.0,90.0,1.0,0,17.35809
+669,gis,https://github.com/zorzi-s/maprepair,,,,zorzi-s/maprepair,MapRepair,16,4,2,[],Python,,MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images,zorzi-s,2022-12-06,2021-05-17,2020-07-30,124,0.12844036697247707,1,0,5,[],,0.0,0,0,29,19,0,0,0,0.0,0.0,90.0,0.0,0,2.90949
+892,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,10,4,5,"['package-installer', 'pyodide', 'python', 'webassembly']",Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2022-12-15,2022-12-12,2022-09-15,13,0.7368421052631579,6,1,5,['mitmathdepartment'],,0.54,37,27,3,0,0,8,8,37.0,70.0,90.0,1.9,3,28.65104
+702,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,[],Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-12-16,2022-01-25,2019-08-05,176,0.056818181818181816,6,0,5,[],,0.1,0,0,41,11,0,0,0,0.0,0.0,90.0,0.0,9,12.73981
+608,typing,https://github.com/tk0miya/docutils-stubs,,,,tk0miya/docutils-stubs,docutils-stubs,7,5,6,[],Python,,tk0miya/docutils-stubs,tk0miya,2022-01-02,2022-01-02,2018-11-02,215,0.03249336870026525,6,2,5,"['timeintermedia(timedia)', 'unist']",,0.04,0,0,50,12,0,5,5,0.0,0.0,90.0,0.0,8,21.32329
+180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,5,5,3,[],Python,,dynpy: Dynamical systems for Python,artemyk,2021-09-24,2018-09-28,2014-09-12,431,0.011589403973509934,5,0,5,[],,0.0,0,0,101,51,0,0,0,0.0,0.0,90.0,0.0,3,9.08824
+526,gis,https://github.com/lycantropos/wagyu,,,,lycantropos/wagyu,wagyu,3,2,1,[],Python,https://github.com/mapbox/wagyu,wagyu: Python port of mapbox/wagyu library (with separate C++ binding),lycantropos,2022-07-19,2020-11-21,2020-06-30,128,0.02328159645232816,2,0,5,[],,0.0,0,0,30,25,0,2,2,0.0,0.0,90.0,0.0,0,5.4272
+751,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,2,0,2,[],Python,,edomel/boundaryvt,edomel,2022-12-07,2022-09-29,2022-07-29,20,0.0979020979020979,2,1,5,['ethzurich'],,0.1,0,0,5,3,0,0,0,0.0,0.0,90.0,0.0,0,7.59265
+420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,"['python', 'template', 'jupyterlab', 'cookiecutter']",Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2022-08-19,2020-02-12,148,0.0067243035542747355,2,0,5,[],,0.1,1,0,35,4,0,1,1,1.0,0.0,90.0,0.0,0,9.75574
diff --git a/github_data.json b/github_data.json
index 4ba9990..0d8e170 100644
--- a/github_data.json
+++ b/github_data.json
@@ -85,6 +85,82 @@
                 "name": "_stars_per_week",
                 "type": "number"
             },
+            {
+                "name": "_pop_contributor_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_contributor_orgs_len",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_contributor_orgs_max",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_contributor_orgs",
+                "type": "string"
+            },
+            {
+                "name": "_pop_contributor_orgs_error",
+                "type": "string"
+            },
+            {
+                "name": "_pop_commit_frequency",
+                "type": "number"
+            },
+            {
+                "name": "_pop_updated_issues_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_closed_issues_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_created_since_days",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_updated_since_days",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_recent_releases_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_recent_releases_estimated_tags",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_recent_releases_adjusted_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_issue_count",
+                "type": "number"
+            },
+            {
+                "name": "_pop_comment_count",
+                "type": "number"
+            },
+            {
+                "name": "_pop_comment_count_lookback_days",
+                "type": "number"
+            },
+            {
+                "name": "_pop_comment_frequency",
+                "type": "number"
+            },
+            {
+                "name": "_pop_dependents_count",
+                "type": "integer"
+            },
+            {
+                "name": "_pop_score",
+                "type": "number"
+            },
             {
                 "name": "_readme_filename",
                 "type": "string"
@@ -125,9 +201,9 @@
             "description": null,
             "_repopath": "tensorflow/tensorflow",
             "_reponame": "tensorflow",
-            "_stars": 169543,
-            "_forks": 87524,
-            "_watches": 7795,
+            "_stars": 169751,
+            "_forks": 87558,
+            "_watches": 7793,
             "_topics": [
                 "tensorflow",
                 "machine-learning",
@@ -142,11 +218,33 @@
             "_homepage": "https://tensorflow.org",
             "_description": "tensorflow: An Open Source Machine Learning Framework for Everyone",
             "_organization": "tensorflow",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
-            "_last_commit_date": "2022-12-07T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
+            "_last_commit_date": "2022-12-18T00:00:00.000Z",
             "_created_at": "2015-11-07T00:00:00.000Z",
-            "_age_weeks": 369,
-            "_stars_per_week": 458.76,
+            "_age_weeks": 371,
+            "_stars_per_week": 457.2,
+            "_pop_contributor_count": 4198,
+            "_pop_contributor_orgs_len": 2,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "google",
+                "googletensorflow"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 312.65,
+            "_pop_updated_issues_count": 2393,
+            "_pop_closed_issues_count": 1430,
+            "_pop_created_since_days": 87,
+            "_pop_updated_since_days": 0,
+            "_pop_recent_releases_count": 32,
+            "_pop_recent_releases_estimated_tags": 26,
+            "_pop_recent_releases_adjusted_count": 32,
+            "_pop_issue_count": 2393.0,
+            "_pop_comment_count": 6694.0,
+            "_pop_comment_count_lookback_days": 90.0,
+            "_pop_comment_frequency": 2.8,
+            "_pop_dependents_count": 175460,
+            "_pop_score": 92.8,
             "_readme_filename": "README.md",
             "_readme_giturl": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/README.md",
             "_readme_localurl": "tensorflow~tensorflow~README.md",
@@ -163,9 +261,9 @@
             "description": null,
             "_repopath": "thealgorithms/python",
             "_reponame": "Python",
-            "_stars": 149666,
-            "_forks": 38442,
-            "_watches": 5936,
+            "_stars": 150017,
+            "_forks": 38545,
+            "_watches": 5937,
             "_topics": [
                 "python",
                 "algorithm",
@@ -186,11 +284,35 @@
             "_homepage": "https://the-algorithms.com/",
             "_description": "Python: All Algorithms implemented in Python",
             "_organization": "thealgorithms",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
-            "_last_commit_date": "2022-12-05T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
+            "_last_commit_date": "2022-12-18T00:00:00.000Z",
             "_created_at": "2016-07-16T00:00:00.000Z",
-            "_age_weeks": 333,
-            "_stars_per_week": 448.68,
+            "_age_weeks": 335,
+            "_stars_per_week": 447.43,
+            "_pop_contributor_count": 973,
+            "_pop_contributor_orgs_len": 4,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "christianclauss",
+                "fossasiagojekthealgorithms",
+                "thealgorithmsgojek",
+                "universit\u00e4tpassau"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 6.31,
+            "_pop_updated_issues_count": 1926,
+            "_pop_closed_issues_count": 1831,
+            "_pop_created_since_days": 78,
+            "_pop_updated_since_days": 0,
+            "_pop_recent_releases_count": 0,
+            "_pop_recent_releases_estimated_tags": 0,
+            "_pop_recent_releases_adjusted_count": 0,
+            "_pop_issue_count": 1926.0,
+            "_pop_comment_count": 2356.0,
+            "_pop_comment_count_lookback_days": 90.0,
+            "_pop_comment_frequency": 1.2,
+            "_pop_dependents_count": 3296,
+            "_pop_score": 69.3,
             "_readme_filename": "README.md",
             "_readme_giturl": "https://raw.githubusercontent.com/thealgorithms/python/master/README.md",
             "_readme_localurl": "thealgorithms~python~README.md",
@@ -216,9 +338,9 @@
             "description": null,
             "_repopath": "huggingface/transformers",
             "_reponame": "transformers",
-            "_stars": 75566,
-            "_forks": 17147,
-            "_watches": 860,
+            "_stars": 76398,
+            "_forks": 17261,
+            "_watches": 866,
             "_topics": [
                 "nlp",
                 "natural-language-processing",
@@ -245,11 +367,33 @@
             "_homepage": "https://huggingface.co/transformers",
             "_description": "\ud83e\udd17 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",
             "_organization": "huggingface",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
-            "_last_commit_date": "2022-12-07T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
+            "_last_commit_date": "2022-12-16T00:00:00.000Z",
             "_created_at": "2018-10-29T00:00:00.000Z",
-            "_age_weeks": 214,
-            "_stars_per_week": 352.64,
+            "_age_weeks": 216,
+            "_stars_per_week": 353.69,
+            "_pop_contributor_count": 1650,
+            "_pop_contributor_orgs_len": 2,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "huggingface",
+                "stasosphereonline"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 56.79,
+            "_pop_updated_issues_count": 2247,
+            "_pop_closed_issues_count": 1896,
+            "_pop_created_since_days": 50,
+            "_pop_updated_since_days": 0,
+            "_pop_recent_releases_count": 24,
+            "_pop_recent_releases_estimated_tags": 28,
+            "_pop_recent_releases_adjusted_count": 24,
+            "_pop_issue_count": 2248.0,
+            "_pop_comment_count": 6558.0,
+            "_pop_comment_count_lookback_days": 90.0,
+            "_pop_comment_frequency": 2.9,
+            "_pop_dependents_count": 10695,
+            "_pop_score": 81.11,
             "_readme_filename": "README.md",
             "_readme_giturl": "https://raw.githubusercontent.com/huggingface/transformers/master/README.md",
             "_readme_localurl": "huggingface~transformers~README.md",
@@ -275,9 +419,9 @@
             "description": null,
             "_repopath": "django/django",
             "_reponame": "django",
-            "_stars": 67603,
-            "_forks": 28283,
-            "_watches": 2267,
+            "_stars": 67753,
+            "_forks": 28322,
+            "_watches": 2271,
             "_topics": [
                 "python",
                 "django",
@@ -293,11 +437,32 @@
             "_homepage": "https://www.djangoproject.com/",
             "_description": "django: The Web framework for perfectionists with deadlines.",
             "_organization": "django",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
-            "_last_commit_date": "2022-12-07T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
+            "_last_commit_date": "2022-12-17T00:00:00.000Z",
             "_created_at": "2012-04-28T00:00:00.000Z",
-            "_age_weeks": 553,
-            "_stars_per_week": 122.12,
+            "_age_weeks": 555,
+            "_stars_per_week": 122.01,
+            "_pop_contributor_count": 2842,
+            "_pop_contributor_orgs_len": 1,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "2xlibre.nets\u00e0rl"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 18.12,
+            "_pop_updated_issues_count": 377,
+            "_pop_closed_issues_count": 307,
+            "_pop_created_since_days": 130,
+            "_pop_updated_since_days": 1,
+            "_pop_recent_releases_count": 0,
+            "_pop_recent_releases_estimated_tags": 34,
+            "_pop_recent_releases_adjusted_count": 34,
+            "_pop_issue_count": 377.0,
+            "_pop_comment_count": 957.0,
+            "_pop_comment_count_lookback_days": 90.0,
+            "_pop_comment_frequency": 2.5,
+            "_pop_dependents_count": 61720,
+            "_pop_score": 79.49,
             "_readme_filename": "README.rst",
             "_readme_giturl": "https://raw.githubusercontent.com/django/django/master/README.rst",
             "_readme_localurl": "django~django~README.rst",
@@ -323,9 +488,9 @@
             "description": null,
             "_repopath": "pallets/flask",
             "_reponame": "flask",
-            "_stars": 61266,
-            "_forks": 15345,
-            "_watches": 2147,
+            "_stars": 61341,
+            "_forks": 15349,
+            "_watches": 2146,
             "_topics": [
                 "python",
                 "flask",
@@ -339,11 +504,33 @@
             "_homepage": "https://flask.palletsprojects.com",
             "_description": "flask: The Python micro framework for building web applications.",
             "_organization": "pallets",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
             "_last_commit_date": "2022-11-25T00:00:00.000Z",
             "_created_at": "2010-04-06T00:00:00.000Z",
-            "_age_weeks": 661,
-            "_stars_per_week": 92.67,
+            "_age_weeks": 662,
+            "_stars_per_week": 92.54,
+            "_pop_contributor_count": 800,
+            "_pop_contributor_orgs_len": 2,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "getsentry",
+                "sentry"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 3.71,
+            "_pop_updated_issues_count": 76,
+            "_pop_closed_issues_count": 65,
+            "_pop_created_since_days": 155,
+            "_pop_updated_since_days": 1,
+            "_pop_recent_releases_count": 8,
+            "_pop_recent_releases_estimated_tags": 4,
+            "_pop_recent_releases_adjusted_count": 8,
+            "_pop_issue_count": 76.0,
+            "_pop_comment_count": 61.0,
+            "_pop_comment_count_lookback_days": 90.0,
+            "_pop_comment_frequency": 0.8,
+            "_pop_dependents_count": 8741,
+            "_pop_score": 65.15,
             "_readme_filename": "README.rst",
             "_readme_giturl": "https://raw.githubusercontent.com/pallets/flask/master/README.rst",
             "_readme_localurl": "pallets~flask~README.rst",
@@ -366,8 +553,8 @@
             "description": null,
             "_repopath": "pytorch/pytorch",
             "_reponame": "pytorch",
-            "_stars": 60819,
-            "_forks": 16942,
+            "_stars": 61054,
+            "_forks": 17007,
             "_watches": 1624,
             "_topics": [
                 "neural-network",
@@ -383,11 +570,32 @@
             "_homepage": "https://pytorch.org",
             "_description": "pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration",
             "_organization": "pytorch",
-            "_updated_at": "2022-12-07T00:00:00.000Z",
-            "_last_commit_date": "2022-12-07T00:00:00.000Z",
+            "_updated_at": "2022-12-18T00:00:00.000Z",
+            "_last_commit_date": "2022-12-18T00:00:00.000Z",
             "_created_at": "2016-08-13T00:00:00.000Z",
-            "_age_weeks": 329,
-            "_stars_per_week": 184.54,
+            "_age_weeks": 331,
+            "_stars_per_week": 184.29,
+            "_pop_contributor_count": 3755,
+            "_pop_contributor_orgs_len": 1,
+            "_pop_contributor_orgs_max": 5,
+            "_pop_contributor_orgs": [
+                "facebookairesearch"
+            ],
+            "_pop_contributor_orgs_error": null,
+            "_pop_commit_frequency": 216.04,
+            "_pop_updated_issues_count": 8263,
+            "_pop_closed_issues_count": 5684,
+            "_pop_created_since_days": 77,
+            "_pop_updated_since_days": 0,
+            "_pop_recent_releases_count": 5,
+            "_pop_recent_releases_estimated_tags": 120,
+            "_pop_recent_releases_adjusted_count": 5,
+            "_pop_issue_count": 8258.0,
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\ No newline at end of file

From 6e3bbb33cadbd23b41ba35152687dd47a37e84fe Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Wed, 22 Feb 2023 12:12:23 +1100
Subject: [PATCH 11/20] Popularity metrics update.

---
 .gitignore             |   1 +
 requirements.txt       |   3 +-
 src/app.py             |   5 +-
 src/library/crawler.py |  11 +-
 src/library/ghw.py     |  21 +++-
 src/library/metrics.py | 249 +++++++++++++++++++++++++++++------------
 src/library/render.py  |  71 ++++++++----
 7 files changed, 256 insertions(+), 105 deletions(-)

diff --git a/.gitignore b/.gitignore
index 5d45971..32e7206 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,6 @@
 # TEMP
 data/
+data*/
 .joblib_cache/
 .joblib_cache*/
 
diff --git a/requirements.txt b/requirements.txt
index 989212b..cf6e1f9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,4 +7,5 @@ python-dotenv
 black
 loguru
 joblib
-requests
\ No newline at end of file
+requests
+tenacity
\ No newline at end of file
diff --git a/src/app.py b/src/app.py
index 810f97e..c5d4c1a 100644
--- a/src/app.py
+++ b/src/app.py
@@ -7,10 +7,11 @@ def main():
     # NOTE: csv location can be local file or google spreadsheet, for example:
     #       https://docs.google.com/spreadsheets/d/<your_doc_id>/export?gid=0&format=csv
     csv_location = env.get("CSV_LOCATION")
-    token = env.get("GITHUB_ACCESS_TOKEN")
+    token_delim = env.get("GITHUB_ACCESS_TOKEN")
+    token_list = token_delim.split("|")
     github_csv_filename = "github_data.csv"
     github_json_filename = "github_data.json"
-    crawler.write_files(csv_location, token, github_csv_filename, github_json_filename)
+    crawler.write_files(csv_location, token_list, github_csv_filename, github_json_filename)
 
     github_tags_json_filename = "github_tags_data.json"
     postprocess.write_tags(github_json_filename, github_tags_json_filename, most_common=200)
diff --git a/src/library/crawler.py b/src/library/crawler.py
index ee109ef..985fc64 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -1,20 +1,21 @@
 import json
 from datetime import datetime
+from typing import List
 from loguru import logger
 from library import render, readme, requirements
 
 
-def write_files(csv_location: str, token: str, output_csv_filename: str, output_json_filename: str):
+def write_files(csv_location: str, token_list: List[str], output_csv_filename: str, output_json_filename: str):
     start = datetime.now()
 
     # Read GitHub urls from google docs
     df_input = render.get_input_data(csv_location)
     # df_input = df_input.head(3)  # Testing
-    # df_input = df_input.iloc[9:13]  # Testing
+    # df_input = df_input.iloc[9:11]  # Testing
 
     # Augment repo name with metadata from GitHub
-    logger.info(f"Processing {len(df_input)} records from {csv_location}")
-    df = render.process(df_input, token)
+    logger.info(f"Processing {len(df_input)} records from {csv_location} with {len(token_list)=}...")
+    df = render.process(df_input, token_list)
 
     # Write raw results to csv
     logger.info(f"Write raw results to csv...")
@@ -100,7 +101,7 @@ def write_files(csv_location: str, token: str, output_csv_filename: str, output_
     with open("README.md", "w") as out:
         out.write("\n".join(lines))
 
-    # Write to categories
+    # Write to categories file
     categories = df["category"].unique()
     for category in categories:
         df_category = df[df["category"] == category]
diff --git a/src/library/ghw.py b/src/library/ghw.py
index a3b8b3d..d7e25e1 100644
--- a/src/library/ghw.py
+++ b/src/library/ghw.py
@@ -8,11 +8,20 @@
 
 
 class GithubWrapper:
-    def __init__(self, token):
-        self.token = token
+    def __init__(self, token_list: List[str]):
+        self.token_list = token_list
+        self.token_index = 0
+
+    def token(self) -> str:
+        current_token = self.token_list[self.token_index]
+        logger.trace(f"Using token index {self.token_index}")
+        self.token_index += 1
+        if self.token_index >= len(self.token_list):
+            self.token_index = 0
+        return current_token
 
     @staticmethod
-    @memory.cache
+    @memory.cache(ignore=["token"])
     def _get_repo_cached(token, name) -> github.Repository:
         gh = github.Github(token)
         if name.endswith("/"):
@@ -23,17 +32,17 @@ def _get_repo_cached(token, name) -> github.Repository:
         try:
             repo = gh.get_repo(name)
         except Exception as ex:
-            logger.warning(f"Exception for get_repo with name (will re-try once): {name}")
+            logger.warning(f"Exception for get_repo with name (will re-try once): {name} - {ex}")
             try:
                 time.sleep(30)
                 repo = gh.get_repo(name)
             except Exception as ex:
-                logger.error(f"Exception for get_repo after re-try with name: {name}")
+                logger.error(f"Exception for get_repo after re-try with name: {name} - {ex}")
                 raise ex
         return repo
 
     def get_repo(self, name) -> github.Repository:
-        return self._get_repo_cached(self.token, name)
+        return self._get_repo_cached(self.token(), name)
 
     # def get_org_repos(self, name) -> List[github.Repository.Repository]:
     #     logger.debug(f"get_org_repos: {name}")
diff --git a/src/library/metrics.py b/src/library/metrics.py
index 2700ec9..d319d3b 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -2,9 +2,12 @@
 import time
 import re
 from datetime import datetime, timedelta
+from typing import List
+from tenacity import retry, wait_exponential, stop_after_attempt, retry_if_exception_type
 from loguru import logger
 from library.ghw import GithubWrapper
 from joblib import Memory
+from github import PaginatedList
 from github.GithubException import RateLimitExceededException, GithubException
 
 memory = Memory(".joblib_cache")
@@ -12,15 +15,34 @@
 
 class StandardMetrics:
     @staticmethod
-    @memory.cache
-    def get_repo_topics(ghw, name):
-        return ghw.get_repo(name).get_topics()
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def get_repo_topics(token_list: List[str], name: str):
+        return GithubWrapper(token_list).get_repo(name).get_topics()
 
     @staticmethod
-    @memory.cache
-    def last_commit_date(ghw, name):
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def last_commit_date(token_list: List[str], name: str):
+        modified = GithubWrapper(token_list).get_repo(name).get_commits().get_page(0)[0].last_modified
         return datetime.strptime(
-            ghw.get_repo(name).get_commits().get_page(0)[0].last_modified,
+            modified,
             "%a, %d %b %Y %H:%M:%S %Z",
         ).date()
 
@@ -32,70 +54,118 @@ class PopularityMetrics:
     """
 
     @staticmethod
-    @memory.cache
-    def contributor_count(token: str, name: str) -> int:
-        repo = GithubWrapper(token).get_repo(name)
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def _get_contributors(token_list: List[str], name: str, anon: str = "true") -> PaginatedList:
+        repo = GithubWrapper(token_list).get_repo(name)
+        return repo.get_contributors(anon=anon)
+
+    @staticmethod
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        retry=retry_if_exception_type(RateLimitExceededException),
+        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def contributor_count(token_list: List[str], name: str) -> int:
         try:
-            return repo.get_contributors(anon='true').totalCount
+            return PopularityMetrics._get_contributors(token_list, name).totalCount
         except RateLimitExceededException as ex:
             logger.error(f"contributor_count rate exception: {ex}")
-            # TODO: add sleep and retry
             raise ex
         except Exception as ex:
             # Typically a large number of contributors
             logger.warning(f"contributor_count exception: {ex}")
             return 5000
 
-    @staticmethod
-    @memory.cache
-    def get_contributor_company(contributor):
-        return contributor.company
+    # @staticmethod
+    # @memory.cache
+    # def _get_contributor_company(contributor):
+    #     return contributor.company
 
     @staticmethod
-    @memory.cache
-    def contributor_orgs(token: str, name: str) -> dict:
-        MAX_CONTRIBUTOR_COUNT = 5  # 10
-        repo = GithubWrapper(token).get_repo(name)
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        retry=retry_if_exception_type(RateLimitExceededException),
+        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def contributor_orgs_dict(token_list: List[str], name: str, sleep: int = 1, max_contrib_count: int = 10) -> dict:
+        repo = GithubWrapper(token_list).get_repo(name)  # TODO: randomise token_list in ghw??
 
         def _filter_name(org_name):
-            return org_name.lower().replace(', inc.', '').replace('inc.', '')\
-                .replace('llc', '').replace('@', '').replace(' ', '').rstrip(',')
+            return org_name.lower().replace(' ', '').replace(',inc.', '').replace('inc.', '') \
+                .replace('llc', '').replace('@', '').rstrip(',')
 
+        contributor_logins = set()
         orgs = set()
-        contributors = repo.get_contributors()[:MAX_CONTRIBUTOR_COUNT]
+        orgs_raw = set()
+        contributors = repo.get_contributors()[:max_contrib_count]
         try:
             # NOTE: Can be expensive if not capped due to `contributor.company` being an API call
-            for contributor in contributors:
-                time.sleep(2)  # TODO: review and add retry
-                contributor_company = PopularityMetrics.get_contributor_company(contributor)
+            logger.info(f"contributor_orgs_dict {contributors=}")
+            for i, contributor in enumerate(contributors):
+                # contributor_company = PopularityMetrics._get_contributor_company(contributor)  # TODO: review need to cache here
+                contributor_company = contributor.company
+                time.sleep(sleep)
                 if contributor_company:
                     filtered_contributor_company = _filter_name(contributor_company)
-                    logger.info(f"{name=}, {contributor.login=}, {filtered_contributor_company=}")
+                    logger.info(f"{i}. Company hit : {name=}, {contributor.login=}, "
+                                f"{contributor_company=}, {filtered_contributor_company=}")
+                    orgs_raw.add(contributor_company)
                     orgs.add(filtered_contributor_company)
+                    contributor_logins.add(f"{contributor.login}@{filtered_contributor_company}")
+                else:
+                    logger.info(f"{i}. Company miss: {name=}, {contributor.login=}")
+                    contributor_logins.add(contributor.login)
         except RateLimitExceededException as ex:
-            logger.warning(f"get_contributors rate exception: {ex}")
+            logger.warning(f"get_contributor_company rate exception ({sleep=}): {ex}")
             # TODO: add sleep and retry
             raise ex
         except Exception as ex:
             # Typically a large number of contributors
-            logger.warning(f"get_contributors {type(ex)} exception: {ex}")
+            # TODO: add sleep and retry
+            logger.warning(f"get_contributor_company {type(ex)} exception: {ex}")
             return {
+                "_pop_contributor_logins": None,
                 "_pop_contributor_orgs_len": -1,
-                "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
+                "_pop_contributor_orgs_max": max_contrib_count,
                 "_pop_contributor_orgs": None,
+                "_pop_contributor_orgs_raw": None,
                 "_pop_contributor_orgs_error": str(ex)
             }
         return {
+            "_pop_contributor_logins": sorted(contributor_logins),
             "_pop_contributor_orgs_len": len(orgs),
-            "_pop_contributor_orgs_max": MAX_CONTRIBUTOR_COUNT,
+            "_pop_contributor_orgs_max": max_contrib_count,
             "_pop_contributor_orgs": sorted(orgs),
+            "_pop_contributor_orgs_raw": sorted(orgs_raw),
             "_pop_contributor_orgs_error": None
         }
 
     @staticmethod
-    @memory.cache
-    def commit_frequency(token: str, name: str) -> float:
-        repo = GithubWrapper(token).get_repo(name)
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def commit_frequency(token_list: List[str], name: str) -> float:
+        repo = GithubWrapper(token_list).get_repo(name)
         # NOTE: get_stats_commit_activity Returns the last year of commit activity grouped by week
         stats_commit_activity = repo.get_stats_commit_activity()
         assert len(stats_commit_activity) == 52
@@ -105,28 +175,46 @@ def commit_frequency(token: str, name: str) -> float:
         return round(total / len(stats_commit_activity), 2)
 
     @staticmethod
-    @memory.cache
-    def updated_issues_count(token: str, name: str) -> int:
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def updated_issues_count(token_list: List[str], name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = GithubWrapper(token).get_repo(name)
+        repo = GithubWrapper(token_list).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='all', since=issues_since_time).totalCount
 
     @staticmethod
-    @memory.cache
-    def closed_issues_count(token: str, name: str) -> int:
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def closed_issues_count(token_list: List[str], name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
         # TODO: make generic with updated_issues_count?
-        repo = GithubWrapper(token).get_repo(name)
+        repo = GithubWrapper(token_list).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='closed', since=issues_since_time).totalCount
 
     @staticmethod
-    @memory.cache
-    def created_since_days(token: str, name: str) -> int:
-        repo = GithubWrapper(token).get_repo(name)
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def created_since_days(token_list: List[str], name: str) -> int:
+        repo = GithubWrapper(token_list).get_repo(name)
         creation_time = repo.created_at
 
         # See if there exist any commits before this repository creation
@@ -146,19 +234,31 @@ def created_since_days(token: str, name: str) -> int:
         return round(difference.days / 30)
 
     @staticmethod
-    @memory.cache
-    def updated_since_days(token: str, name: str) -> int:
-        repo = GithubWrapper(token).get_repo(name)
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def updated_since_days(token_list: List[str], name: str) -> int:
+        repo = GithubWrapper(token_list).get_repo(name)
         last_commit = repo.get_commits()[0]
         last_commit_time = last_commit.commit.author.date
         difference = datetime.utcnow() - last_commit_time
         return round(difference.days / 30)
 
     @staticmethod
-    @memory.cache
-    def recent_releases_count(token: str, name: str) -> dict:
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def recent_releases_count_dict(token_list: List[str], name: str) -> dict:
         RELEASE_LOOKBACK_DAYS = 365
-        repo = GithubWrapper(token).get_repo(name)
+        repo = GithubWrapper(token_list).get_repo(name)
         recent_releases_count = 0
         for release in repo.get_releases():
             if (datetime.utcnow() -
@@ -170,7 +270,7 @@ def recent_releases_count(token: str, name: str) -> dict:
         # Make rough estimation of tags used in last year from overall
         # project history. This query is extremely expensive, so instead
         # do the rough calculation.
-        days_since_creation = PopularityMetrics.created_since_days(token, name) * 30
+        days_since_creation = PopularityMetrics.created_since_days(token_list, name) * 30
         if days_since_creation:
             total_tags = repo.get_tags().totalCount
             estimated_tags = round(
@@ -187,10 +287,16 @@ def recent_releases_count(token: str, name: str) -> dict:
         }
 
     @staticmethod
-    @memory.cache
-    def comment_frequency(token: str, name: str) -> dict:
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        before_sleep=lambda x: logger.exception(
+            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def comment_frequency(token_list: List[str], name: str) -> dict:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = GithubWrapper(token).get_repo(name)
+        repo = GithubWrapper(token_list).get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         issue_count = repo.get_issues(state='all', since=issues_since_time).totalCount
@@ -216,11 +322,18 @@ def comment_frequency(token: str, name: str) -> dict:
         }
 
     @staticmethod
-    @memory.cache
-    def dependents_count(name: str) -> int:
-        # return 0  # TODO: this is expensive and can have many fails
+    @memory.cache(ignore=["token_list"])
+    @retry(
+        wait=wait_exponential(multiplier=2, min=10, max=1200),
+        stop=stop_after_attempt(50),
+        retry=retry_if_exception_type(RuntimeError),
+        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
+    )
+    def dependents_count(token_list: List[str], name: str, sleep: int = 1) -> int:
+        return 0  # TODO: dependents_count is expensive and can have many fails
+
+        ghw = GithubWrapper(token_list)
         DEPENDENTS_REGEX = re.compile(b'.*[^0-9,]([0-9,]+).*commit results', re.DOTALL)
-        FAIL_RETRIES = 12
         # TODO: Take package manager dependency trees into account. If we decide
         # to replace this, then find a solution for C/C++ as well.
         # parsed_url = urllib.parse.urlparse(self.url)
@@ -229,20 +342,16 @@ def dependents_count(name: str) -> int:
         dependents_url = f'https://github.com/search?q="{name}"&type=commits'
         logger.trace(f"Call dependents_count: {dependents_url=}, {name=}")
         content = b''
-        time.sleep(2)
-        success = False
-        for i in range(FAIL_RETRIES):
-            result = requests.get(dependents_url)
-            if result.status_code == 200:
-                content = result.content
-                success = True
-                break
-            sleep_secs = min(2 ** (i + 3), 15 * 60)
-            logger.warning(f"Retry dependents_count #{i}/{FAIL_RETRIES}, sleeping for {sleep_secs} secs...")
-            time.sleep(sleep_secs)
-
-        if not success:
-            raise Exception(f"dependents_count failed, too many retries ({FAIL_RETRIES})")
+        time.sleep(sleep)
+
+        # result = requests.get(dependents_url)
+        result = requests.get(dependents_url, headers={"Authorization": f"TOK:{ghw.token()}"})
+        if result.status_code == 429:  # 429=Too Many Requests
+            logger.error(f"dependents_url requests, {name=},  {result.status_code=}, {result=}")
+            raise RuntimeError(f"dependents_url exception, {name=}, {result.status_code=}, {result=}")
+        if result.status_code != 200:
+            logger.error(f"dependents_url requests, {name=},  {result.status_code=}, {result=}")
+            raise Exception(f"dependents_url exception, {name=},  {result.status_code=}, {result=}")
 
         match = DEPENDENTS_REGEX.match(content)
         if not match:
diff --git a/src/library/render.py b/src/library/render.py
index 418d894..b783f12 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -98,25 +98,23 @@ def _column_apply(df: pd.DataFrame, target: str, source: str, fn: Callable):
     df[target] = df[source].apply(fn)
 
 
-def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
-    ghw = GithubWrapper(token)
+def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
+    ghw = GithubWrapper(token_list)
     df = df_input.copy()
 
-    logger.info(f"Add standard columns...")
-    std_metrics = StandardMetrics()
-
+    # Add repo lookup columns ------------------------------------------------
+    logger.info(f"Add repo lookup columns...")
+    t0 = datetime.now()
     _column_apply(df, "_repopath", "githuburl", lambda x: urlparse(x).path.lstrip("/"))
     _column_apply(df, "_reponame", "_repopath", lambda x: ghw.get_repo(x).name)
     _column_apply(df, "_stars", "_repopath", lambda x: ghw.get_repo(x).stargazers_count)
     _column_apply(df, "_forks", "_repopath", lambda x: ghw.get_repo(x).forks_count)
     _column_apply(df, "_watches", "_repopath", lambda x: ghw.get_repo(x).subscribers_count)
-    _column_apply(df, "_topics", "_repopath", lambda x: std_metrics.get_repo_topics(ghw, x))
     _column_apply(df, "_language", "_repopath", lambda x: ghw.get_repo(x).language)
     _column_apply(df, "_homepage", "_repopath", lambda x: ghw.get_repo(x).homepage)
     _column_apply(df, "_description", "_repopath", lambda x: _display_description(ghw, x))
     _column_apply(df, "_organization", "_repopath", lambda x: x.split("/")[0])
     _column_apply(df, "_updated_at", "_repopath", lambda x: ghw.get_repo(x).updated_at.date())
-    _column_apply(df, "_last_commit_date", "_repopath", lambda x: std_metrics.last_commit_date(ghw, x))
     _column_apply(df, "_created_at", "_repopath", lambda x: ghw.get_repo(x).created_at.date())
     _column_apply(df, "_age_weeks", "_repopath",
                   lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
@@ -126,56 +124,87 @@ def process(df_input: pd.DataFrame, token: str) -> pd.DataFrame:
                   * 7
                   / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
                   )
+    timing_lookup = datetime.now() - t0
+    logger.info(f"Timing: {timing_lookup.total_seconds()=}")
+
+    # Add standard metric columns ------------------------------------------------
+    logger.info(f"Add popularity metric columns...")
+    std_metrics = StandardMetrics()
+    t0 = datetime.now()
+    _column_apply(df, "_topics", "_repopath", lambda x: std_metrics.get_repo_topics(token_list, x))
+    _column_apply(df, "_last_commit_date", "_repopath", lambda x: std_metrics.last_commit_date(token_list, x))
+    timing_std = datetime.now() - t0
+    logger.info(f"Timing: {timing_std.total_seconds()=}")
 
+    # Add popularity metric columns ------------------------------------------------
     logger.info(f"Add popularity metric columns...")
-    metrics = PopularityMetrics()
+    pop_metrics = PopularityMetrics()
+    t0 = datetime.now()
 
     df["_pop_contributor_count"] = df["_repopath"].apply(
-        lambda x: metrics.contributor_count(token, x)
+        lambda x: pop_metrics.contributor_count(token_list, x)
     )
 
-    df_pop_contributor_orgs = df.apply(lambda row: metrics.contributor_orgs(token, row["_repopath"]),
-                                       axis="columns", result_type="expand")
-    df = pd.concat([df, df_pop_contributor_orgs], axis="columns")
+    # TODO: optimise contributor_orgs_dict
+    # Long, many interations thru repo contibutors for company info
+    # Can rate limit, esp if sleep < 2sec
+    df_pop_contributor_orgs_dict = df.apply(lambda row: pop_metrics.contributor_orgs_dict(token_list, row["_repopath"]),
+                                            axis="columns", result_type="expand")
+    df = pd.concat([df, df_pop_contributor_orgs_dict], axis="columns")
 
     df["_pop_commit_frequency"] = df["_repopath"].apply(
-        lambda x: metrics.commit_frequency(token, x)
+        lambda x: pop_metrics.commit_frequency(token_list, x)
     )
 
     df["_pop_updated_issues_count"] = df["_repopath"].apply(
-        lambda x: metrics.updated_issues_count(token, x)
+        lambda x: pop_metrics.updated_issues_count(token_list, x)
     )
 
     df["_pop_closed_issues_count"] = df["_repopath"].apply(
-        lambda x: metrics.closed_issues_count(token, x)
+        lambda x: pop_metrics.closed_issues_count(token_list, x)
     )
 
     df["_pop_created_since_days"] = df["_repopath"].apply(
-        lambda x: metrics.created_since_days(token, x)
+        lambda x: pop_metrics.created_since_days(token_list, x)
     )
 
     df["_pop_updated_since_days"] = df["_repopath"].apply(
-        lambda x: metrics.updated_since_days(token, x)
+        lambda x: pop_metrics.updated_since_days(token_list, x)
     )
 
-    df_pop_recent_releases_count = df.apply(lambda row: metrics.recent_releases_count(token, row["_repopath"]),
+    df_pop_recent_releases_count = df.apply(lambda row: pop_metrics.recent_releases_count_dict(token_list, row["_repopath"]),
                                             axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_recent_releases_count], axis="columns")
 
-    df_pop_comment_frequency = df.apply(lambda row: metrics.comment_frequency(token, row["_repopath"]),
+    df_pop_comment_frequency = df.apply(lambda row: pop_metrics.comment_frequency(token_list, row["_repopath"]),
                                         axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_comment_frequency], axis="columns")
 
+    # TODO: dependents_count is expensive and can have many fails
     df["_pop_dependents_count"] = df["_repopath"].apply(
-        lambda x: metrics.dependents_count(x)
+        lambda x: pop_metrics.dependents_count(token_list, x)
     )
+    timing_pop = datetime.now() - t0
+    logger.info(f"Timing: {timing_lookup.total_seconds()=}")
+    logger.info(f"Timing: {timing_std.total_seconds()=}")
+    logger.info(f"Timing: {timing_pop.total_seconds()=}")
+
+    # TEMP:
+    logger.info(f"Write temp process results to csv...")
+    df.to_csv("_temp_df_process.csv")
+    import json
+    with open("_temp_df_process.json", "w") as f:
+        json_results = df.to_json(orient="table", double_precision=2)
+        data = json.loads(json_results)
+        json.dump(data, f, indent=4)
+    # /TEMP:
 
     scorer = PopularityScorer()
     df["_pop_score"] = df.apply(
         lambda row: scorer.score(row), axis="columns"
     )
 
-    return df.sort_values("_stars", ascending=False)
+    return df.sort_values("_pop_score", ascending=False)
 
 
 def lines_header(count: int, category: str = "") -> List[str]:

From 38b75a2eb25785c3e42941c30a205e41f3042728 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Wed, 22 Feb 2023 12:23:25 +1100
Subject: [PATCH 12/20] Data with popularity metrics.

---
 github_data.csv       |  1887 +-
 github_data.json      | 94128 +++++++++++++++++++++++++---------------
 github_data.min.json  |     2 +-
 github_tags_data.json |    24 +-
 4 files changed, 59447 insertions(+), 36594 deletions(-)

diff --git a/github_data.csv b/github_data.csv
index 17e11e8..245daed 100644
--- a/github_data.csv
+++ b/github_data.csv
@@ -1,903 +1,984 @@
-,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_topics,_language,_homepage,_description,_organization,_updated_at,_last_commit_date,_created_at,_age_weeks,_stars_per_week,_pop_contributor_count,_pop_contributor_orgs_len,_pop_contributor_orgs_max,_pop_contributor_orgs,_pop_contributor_orgs_error,_pop_commit_frequency,_pop_updated_issues_count,_pop_closed_issues_count,_pop_created_since_days,_pop_updated_since_days,_pop_recent_releases_count,_pop_recent_releases_estimated_tags,_pop_recent_releases_adjusted_count,_pop_issue_count,_pop_comment_count,_pop_comment_count_lookback_days,_pop_comment_frequency,_pop_dependents_count,_pop_score
-89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,169751,87558,7793,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2022-12-18,2022-12-18,2015-11-07,371,457.1977683724509,4198,2,5,"['google', 'googletensorflow']",,312.65,2393,1430,87,0,32,26,32,2393.0,6694.0,90.0,2.8,175460,92.79924
-405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,150017,38545,5937,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2022-12-18,2022-12-18,2016-07-16,335,447.43033659991477,973,4,5,"['christianclauss', 'fossasiagojekthealgorithms', 'thealgorithmsgojek', 'universitätpassau']",,6.31,1926,1831,78,0,0,0,0,1926.0,2356.0,90.0,1.2,3296,69.29599
-112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,76398,17261,866,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2022-12-18,2022-12-16,2018-10-29,216,353.69444444444446,1650,2,5,"['huggingface', 'stasosphereonline']",,56.79,2247,1896,50,0,24,28,24,2248.0,6558.0,90.0,2.9,10695,81.10986
-14,web,https://github.com/django/django,,,,django/django,django,67753,28322,2271,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2022-12-18,2022-12-17,2012-04-28,555,122.01466426550039,2842,1,5,['2xlibre.netsàrl'],,18.12,377,307,130,1,0,34,34,377.0,957.0,90.0,2.5,61720,79.49161
-57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,61341,15349,2146,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2022-12-18,2022-11-25,2010-04-06,662,92.54030172413793,800,2,5,"['getsentry', 'sentry']",,3.71,76,65,155,1,8,4,8,76.0,61.0,90.0,0.8,8741,65.14601
-76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,61054,17007,1624,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2022-12-18,2022-12-18,2016-08-13,331,184.29409228115568,3755,1,5,['facebookairesearch'],,216.04,8263,5684,77,0,5,120,5,8258.0,34479.0,90.0,4.2,961352,91.47611
-40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,56861,19228,1936,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2022-12-18,2022-12-16,2015-03-28,403,140.9943322706341,1133,2,5,"['google', 'sktelecom']",,20.58,486,353,94,0,13,9,13,486.0,894.0,90.0,1.8,3088,73.03711
-189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,56762,20995,1345,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2022-12-18,2022-12-18,2013-09-17,482,117.55443786982248,3475,2,5,"['home-assistant,nabucasa', 'home-assistanthassio-addons']",,241.85,7960,5914,113,0,173,111,173,7960.0,23769.0,90.0,3.0,3239,86.90949
-135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,52565,4303,603,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2022-12-18,2022-12-16,2018-12-08,210,249.9694293478261,401,0,5,[],,12.75,1366,887,49,0,25,35,25,1366.0,3158.0,90.0,2.3,4316,66.19022
-78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,52354,23790,2167,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2022-12-18,2022-12-16,2010-08-17,643,81.31306856001775,2806,4,5,"['inria', 'meta', 'microsoft', 'uliège']",,31.21,1080,710,150,0,6,10,6,1079.0,2656.0,90.0,2.5,36390,84.48729
-399,util,https://github.com/python/cpython,,,,python/cpython,cpython,49550,25219,1465,[],Python,https://www.python.org/,cpython: The Python programming language,python,2022-12-18,2022-12-18,2017-02-10,305,162.2310570626754,2294,4,5,"['fzjülich', 'keepertech', 'microsoft', 'redhatofficial']",,68.56,4833,3383,71,0,0,91,91,4833.0,11415.0,90.0,2.4,11228,86.25842
-177,web,https://github.com/psf/requests,,,,psf/requests,requests,48718,8929,1362,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2022-12-18,2022-11-21,2011-02-13,618,78.81349664894846,723,3,5,"['amazonwebservices', 'apple', 'tableau&salesforce']",,0.87,89,56,144,1,4,12,4,89.0,124.0,90.0,1.4,9183,64.97178
-80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,45399,9807,1789,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest']",Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2022-12-18,2022-12-15,2010-02-22,669,67.8609865470852,569,3,5,"['superfly', 'zytedata(formerlyscrapinghub)', 'zytedata,scrapinghub']",,4.71,259,190,156,0,8,9,8,260.0,538.0,90.0,2.1,1159,67.90526
-695,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,42994,12012,1502,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2022-12-18,2022-12-18,2017-12-19,260,164.8181818181818,94,0,5,[],,4.87,21,14,61,0,0,1,1,21.0,17.0,90.0,0.8,1192,46.15719
-179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,41137,1447,541,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2022-12-18,2022-12-04,2019-11-10,162,253.70837004405286,203,2,5,"['davep.org', 'textualize']",,13.44,197,147,38,0,17,45,17,197.0,392.0,90.0,2.0,3007,64.89991
-262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,37843,4466,963,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2022-12-18,2022-10-21,2018-12-24,208,181.9375,209,1,5,['paackeng'],,3.25,194,117,48,2,0,0,0,194.0,179.0,90.0,0.9,415,47.9617
-736,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,37519,5790,355,[],Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2022-12-18,2022-11-16,2022-08-10,18,2004.8320610687024,8,1,5,['runwayml'],,0.4,324,77,4,1,0,0,0,324.0,729.0,90.0,2.2,53,31.38278
-432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,36840,16265,1768,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2022-12-18,2018-11-30,2016-08-10,331,111.0594315245478,17,4,5,"['coiled', 'google', 'kvantify', 'quansight']",,0.0,19,11,77,49,0,0,0,19.0,17.0,90.0,0.9,172,32.72075
-59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,36289,15523,1119,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2022-12-18,2022-12-18,2010-08-24,642,56.449555555555555,3189,2,5,"['rapidsai', 'voltrondata']",,45.63,4619,3022,150,0,10,12,10,4619.0,5418.0,90.0,1.2,4975,80.23597
-694,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,36190,8167,1044,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2022-12-18,2022-10-31,2018-06-04,237,152.70042194092827,21,0,5,[],,0.19,63,12,55,2,0,0,0,63.0,53.0,90.0,0.8,333,33.57254
-64,util,https://github.com/psf/black,,,,psf/black,black,30470,1949,227,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2022-12-18,2022-12-18,2018-03-14,248,122.51005169442848,350,4,5,"['clc', 'facebook', 'psf', 'quora']",,5.35,295,176,58,0,7,9,7,299.0,585.0,90.0,2.0,28929,71.53459
-220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,29882,2655,380,"['python', 'shell']",Roff,,pyenv: Simple Python version management,pyenv,2022-12-18,2022-12-18,2012-08-31,537,55.60180754917597,402,1,5,['treasuredata'],,3.25,133,117,125,0,12,13,12,133.0,307.0,90.0,2.3,1883,64.0447
-55,sim,https://github.com/openai/gym,,,,openai/gym,gym,29439,8120,999,[],Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2022-12-18,2022-10-25,2016-04-27,346,84.90852904820767,384,0,5,[],,5.62,113,83,81,2,11,8,11,113.0,261.0,90.0,2.3,7204,59.53888
-118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,28488,11690,764,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2022-12-18,2022-12-18,2015-04-13,401,71.0423940149626,2662,5,5,"['apachesoftwarefoundation', 'astronomer', 'astronomer.io', 'preset-io', 'snowflakedb']",,70.71,2090,1667,94,0,17,337,17,2091.0,4975.0,90.0,2.4,13010,86.76876
-592,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27457,1675,350,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2022-12-18,2022-11-27,2020-02-02,150,182.87250237868696,123,2,5,"['daangn', 'luxeys']",,1.17,165,63,35,1,4,13,4,165.0,168.0,90.0,1.0,59,46.67377
-257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,26668,6520,930,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2022-12-18,2022-12-18,2017-05-14,292,91.2841075794621,709,1,5,['ccxt'],,235.92,1408,1047,68,0,0,142,142,1408.0,2198.0,90.0,1.6,37950,79.88869
-838,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,25507,4618,247,[],Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2022-12-18,2022-12-10,2022-08-22,17,1500.4117647058824,278,0,5,[],,42.46,3672,2189,4,0,0,0,0,3672.0,13755.0,90.0,3.7,863,55.59936
-677,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25464,5480,959,[],Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2022-12-18,2021-03-27,2017-10-05,271,93.76538663861126,40,2,5,"['facebook', 'ucberkeley']",,0.0,11,3,63,21,0,0,0,11.0,3.0,90.0,0.3,865,34.18342
-245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,25179,3809,373,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2022-12-18,2022-09-16,2021-03-19,91,275.3953125,11,2,5,"['huggingface', 'tencent']",,0.6,59,16,21,3,6,9,6,58.0,54.0,90.0,0.9,11,32.67355
-17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,24789,3988,549,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2022-12-18,2022-12-15,2014-07-03,441,56.13814299579424,710,2,5,"['explosion&oxykodit', 'founderexplosion']",,8.85,356,316,103,0,19,16,19,356.0,577.0,90.0,1.6,5776,71.78792
-501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,23709,11459,625,[],Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2022-12-18,2022-11-08,2019-01-08,205,115.17210270645386,75,0,5,[],,0.29,21,3,48,1,0,0,0,21.0,31.0,90.0,1.5,1115,39.80723
-163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,23582,1199,207,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2022-12-18,2022-09-03,2015-06-03,393,59.89622641509434,112,2,5,"['giga-consciousness-comasciencegroup-university&hospitalofliège', 'valence']",,0.52,69,11,92,4,5,20,5,69.0,82.0,90.0,1.2,6644,53.30922
-103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23555,8535,931,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2022-12-18,2022-12-17,2014-02-06,462,50.92186534898085,589,4,5,"['amazonai', 'cmu,octoml', 'els-rdlefebvresarrut', 'nvidia']",,9.9,464,372,108,0,9,5,9,464.0,840.0,90.0,1.8,1612,71.15114
-26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,23487,1353,380,"['python', 'cli']",Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2022-12-18,2022-12-12,2017-02-21,303,77.29619181946403,55,3,5,"['google', 'googlebrain', 'syracuseuniversity']",,0.37,48,26,71,0,1,2,1,48.0,43.0,90.0,0.9,114,46.38159
-678,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23127,6313,365,[],Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2022-12-18,2022-12-14,2019-09-05,171,134.79517069109076,227,1,5,['facebookairesearch'],,1.67,214,132,40,0,0,3,3,214.0,258.0,90.0,1.2,23330,60.12194
-646,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,22961,1857,184,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2022-12-18,2022-12-18,2018-02-28,250,91.58233618233618,417,0,5,[],,13.08,1180,864,58,0,13,25,13,1181.0,2846.0,90.0,2.4,2403,64.59742
-289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,22569,3759,292,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2022-12-18,2022-12-15,2019-02-02,202,111.56991525423729,89,3,5,"['huggingface', 'independent', 'weights&biases']",,6.46,111,72,47,0,10,10,10,111.0,146.0,90.0,1.3,159,55.28684
-689,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22507,11179,597,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2022-12-18,2019-03-31,2017-10-19,269,83.4917859035506,47,3,5,"['apple', 'freelance', 'grid.ai|pytorchlightning']",,0.0,89,18,63,46,0,1,1,89.0,107.0,90.0,1.2,1541,41.13975
-550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,22420,8168,362,"['object-detection', 'instance-segmentation', 'rpn', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch']",Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2022-12-18,2022-11-23,2018-08-22,225,99.32911392405063,377,5,5,"['cuhk,mmlab', 'mmlab,ntu', 'nuaa', 'open-mmlab', 'ucsd']",,5.21,876,652,53,1,16,11,16,873.0,1322.0,90.0,1.5,4620,69.61265
-54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22230,7600,571,"['numpy', 'python', 'closember']",Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2022-12-18,2022-12-18,2010-09-13,640,34.734375,1556,4,5,"['mercarijp', 'quansight,openteams', 'quansightlabs', 'retired']",,29.58,907,655,149,0,20,18,20,908.0,2325.0,90.0,2.6,27499,84.17272
-649,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,21936,4425,643,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2022-12-18,2022-11-12,2016-11-17,317,69.07422402159244,193,2,5,"['gojek', 'google']",,0.37,11,2,74,1,0,0,0,11.0,4.0,90.0,0.4,74,41.01387
-86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,21862,1957,284,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2022-12-18,2022-12-18,2019-08-24,173,126.16158285243199,160,2,5,"['independent', 'streamlit']",,12.52,1080,630,40,0,22,347,22,1080.0,1206.0,90.0,1.1,1546,64.16201
-183,ml,https://github.com/google/jax,,,,google/jax,jax,21230,1987,288,['jax'],Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2022-12-18,2022-12-17,2018-10-25,216,98.02770448548813,484,1,5,['google'],,50.02,1255,952,50,0,39,38,39,1254.0,1433.0,90.0,1.1,6513,71.26828
-252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,20989,2683,227,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",Python,https://lightning.ai,"lightning: Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.",pytorchlightning,2022-12-18,2022-12-18,2019-03-31,194,108.11111111111111,811,4,5,"['current:opentowork|previouslylightning-ai,episource', 'grid.ai|pytorchlightning', 'lightning-ai', 'lightningai']",,39.56,1617,1237,45,0,41,46,41,1616.0,2285.0,90.0,1.4,550,73.03704
-90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,20902,5485,1006,"['python', 'asynchronous']",Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2022-12-18,2022-12-17,2009-09-09,692,30.174056506496186,432,2,5,"['healthbyro', 'mongodb']",,1.42,39,24,162,0,0,5,5,39.0,62.0,90.0,1.6,879,59.61018
-8,perf,https://github.com/celery/celery,,,,celery/celery,celery,20658,4395,476,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2022-12-18,2022-12-15,2009-04-24,712,28.996591136956084,1255,2,5,"['celerypsfapache', 'robinhoodmarkets']",,5.23,297,166,166,0,8,17,8,297.0,543.0,90.0,1.8,6865,71.58273
-45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20331,2602,431,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",Python,,locust: Scalable load testing tool written in Python,locustio,2022-12-18,2022-12-16,2011-02-17,617,32.92088827203331,271,3,5,"['5m', 'heylab', 'redshirtconsultingab']",,9.37,96,83,144,0,26,9,26,96.0,201.0,90.0,2.1,596,66.39902
-75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,20311,5092,355,"['python', 'pytorch', 'artificial-intelligence']",Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2022-12-18,2022-12-17,2017-08-29,276,73.36274509803921,412,3,5,"['facebook', 'facebookairesearch', 'facebookresearch']",,3.77,277,114,65,0,3,3,3,277.0,248.0,90.0,0.9,81045,69.00771
-2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20194,6876,1088,['mxnet'],C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2022-12-18,2022-09-26,2015-04-30,398,50.66594982078853,980,5,5,"['amazon', 'cmu,octoml', 'facebook', 'mit', 'universityofwashington']",,2.65,95,14,93,3,5,6,5,95.0,53.0,90.0,0.6,1919,61.54047
-255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20137,4263,595,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2022-12-18,2022-12-18,2017-05-17,291,69.02987267384917,284,1,5,['freqtradecoredev;frizzleapps/whatsitwhatsit'],,69.62,530,502,68,0,17,13,17,530.0,1379.0,90.0,2.6,1085,68.40999
-607,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,19802,2265,730,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2022-12-18,2022-12-14,2017-03-01,302,65.41481831052383,44,1,5,['google'],,1.38,5,4,71,0,0,0,0,5.0,2.0,90.0,0.4,17,34.84385
-273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,19756,4148,494,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2022-12-18,2022-12-16,2019-06-13,183,107.62023346303502,21,1,5,['google'],,11.92,556,322,43,0,4,13,4,556.0,1433.0,90.0,2.6,111,50.70535
-409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,19528,2976,649,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2022-12-18,2022-12-15,2014-05-19,448,43.589285714285715,613,3,5,"['cto', 'google', 'voxraygames']",,7.4,227,156,104,0,9,4,9,227.0,576.0,90.0,2.5,3175,70.70299
-350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19328,4834,734,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2022-12-18,2022-12-17,2016-08-15,331,58.39274924471299,895,3,5,"['baidubdg/idl/dltp', 'paddlepaddle', 'tencent']",,110.33,4106,3158,77,0,7,11,7,4104.0,6254.0,90.0,1.5,19940,80.9565
-232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,18574,1762,236,"['python', 'cookiecutter']",Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2022-12-18,2022-09-09,2013-07-14,492,37.7410740203193,285,3,5,"['margaritahumanitarian', 'mozilla', 'octoenergy']",,3.08,50,10,115,3,2,3,2,50.0,43.0,90.0,0.9,611,53.64259
-789,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18518,13789,1456,[],Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2022-12-18,2022-11-03,2012-06-30,546,33.89801255230125,9,3,5,"['googlecloud', 'vndly', 'voltrondata']",,0.15,7,4,127,2,0,0,0,7.0,6.0,90.0,0.9,5,30.95404
-186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18466,2542,219,"['latex', 'deep-neural-networks']",TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2022-12-18,2020-11-06,2018-07-24,229,80.33685518955873,13,2,5,"['cesarbr', 'universityofoxford']",,0.0,4,1,54,26,0,0,0,4.0,5.0,90.0,1.2,35,25.78726
-187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18176,2729,259,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2022-12-18,2022-06-16,2016-11-22,316,57.36339044183949,205,3,5,"['microsoft', 'microsoftresearch', 'mila-iqia']",,2.31,187,27,74,6,1,8,1,187.0,160.0,90.0,0.9,439,50.16834
-61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,17833,1815,409,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",Python,https://plotly.com/dash,"dash: Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.",plotly,2022-12-18,2022-12-17,2015-04-10,401,44.423843416370104,132,1,5,['plotly'],,12.54,177,85,94,0,12,11,12,177.0,210.0,90.0,1.2,5155,62.42429
-763,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,17026,1811,181,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2022-12-18,2022-09-20,2021-07-19,74,230.0810810810811,11,3,5,"['huggingface', 'tencent', 'vk|hse']",,0.69,87,7,17,3,3,14,3,87.0,78.0,90.0,0.9,67,35.54132
-6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,17007,4012,451,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2022-12-18,2022-12-16,2012-03-26,560,30.369642857142857,624,1,5,['nvidia'],,8.15,405,275,131,0,0,10,10,405.0,824.0,90.0,2.0,1783,67.11479
-107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,16987,5385,503,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2022-12-18,2022-12-05,2016-03-21,352,48.25852272727273,102,2,5,"['idealworks', 'tiiuae']",,2.15,45,35,82,0,0,0,0,45.0,24.0,90.0,0.5,950,50.12303
-349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,16915,2000,183,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2022-12-18,2022-12-17,2020-02-13,148,113.85096153846153,161,2,5,"['jina-ai', 'jinaai']",,23.48,403,374,35,0,109,127,109,403.0,797.0,90.0,2.0,1437,65.50054
-30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16695,1484,414,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",Python,https://sanic.dev,sanic: Next generation Python web server/framework | Build fast. Run fast.,huge-success,2022-12-18,2022-12-18,2016-05-26,342,48.73436196830692,325,3,5,"['airbnb', 'packetfabric', 'pytorch']",,2.42,121,91,80,0,14,12,14,121.0,310.0,90.0,2.6,62,59.80018
-228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,16593,476,151,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2022-12-18,2022-12-18,2021-04-08,88,187.34032258064516,61,3,5,"['davep.org', 'lastmileict', 'textualize']",,50.9,650,542,21,0,13,10,13,650.0,957.0,90.0,1.5,26,55.84176
-48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16560,6641,587,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2022-12-18,2022-12-18,2011-02-19,617,26.82712335107614,1447,2,5,"['brookhavennationallab', 'microsoft']",,35.75,2020,1442,144,0,7,10,7,2020.0,2716.0,90.0,1.3,7290,76.87204
-31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,16541,2390,284,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2022-12-18,2022-11-18,2020-03-14,144,114.64059405940594,110,2,5,"['enveritas', 'jaidedai']",,1.0,86,31,34,0,5,7,5,86.0,125.0,90.0,1.5,122,49.49466
-373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16385,2991,246,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",Python,https://pytorch-geometric.readthedocs.io/,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2022-12-18,2022-12-17,2017-10-06,271,60.36578947368421,351,2,5,"['max-planckinstituteforinformatics,kumo.ai', 'uilab-githubsparcs-kaist']",,16.75,996,819,63,0,4,6,4,995.0,1179.0,90.0,1.2,47,59.25055
-102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16191,2352,486,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2022-12-18,2022-12-02,2012-09-20,534,30.28781400320684,596,3,5,"['google', 'houzz', 'modallabs']",,0.81,21,10,125,1,2,6,2,21.0,32.0,90.0,1.5,387,55.86213
-426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16168,7914,647,[],Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2022-12-18,2022-02-10,2017-09-05,275,58.61004660797514,6,0,5,[],,0.02,4,1,64,10,0,0,0,4.0,5.0,90.0,1.2,2,16.67302
-144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,15919,4021,584,['paper'],Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2022-12-18,2020-12-02,2019-02-11,201,79.19900497512438,16,1,5,['openai'],,0.0,5,1,47,25,0,0,0,5.0,3.0,90.0,0.6,365,27.02593
-109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15686,3660,906,"['python', 'crawler']",Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2022-12-18,2020-08-02,2014-02-21,460,34.06825938566553,62,0,5,[],,0.0,8,2,107,29,0,1,1,8.0,5.0,90.0,0.6,243,29.95225
-834,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,15625,6002,731,"['micropython', 'python', 'embedded', 'microcontroller']",C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2022-12-18,2022-12-16,2013-12-20,469,33.285149117468045,536,2,5,"['micropython', 'openmv']",,25.54,524,330,110,7,2,6,2,524.0,1537.0,90.0,2.9,17483,68.37545
-873,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15614,4403,775,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2022-12-17,2022-12-12,2010-05-10,658,23.72948328267477,925,4,5,"['amazonwebservices', 'google', 'quansight-labs', 'simularesearchlaboratory']",,5.67,183,91,154,0,0,12,12,183.0,194.0,90.0,1.1,14264,73.36514
-176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15499,932,234,"['python', 'debug', 'debugger', 'introspection', 'logging']",Python,,PySnooper: Never use print for debugging again,cool-rr,2022-12-18,2022-12-11,2019-04-18,191,80.90454884414616,27,2,5,"['japan', 'nvidia']",,0.12,3,1,45,0,0,5,5,3.0,5.0,90.0,1.7,10,37.32871
-493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15476,3828,598,[],Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2022-12-18,2022-11-16,2019-06-05,184,83.78344934261408,11,4,5,"['alibaba-inc&nanjinguniversity', 'irtsaint-exupéry', 'lightning-ai,universityofwisconsin-madison', 'microsoft']",,1.4,4,3,43,1,0,0,0,4.0,1.0,90.0,0.2,49,33.69158
-41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15305,2966,619,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2022-12-18,2022-12-18,2010-11-03,632,24.18943328065026,577,5,5,"['cornelluniversity', 'freelance', 'imc.com', 'meltingrocks', 'zencode']",,2.21,117,65,148,0,1,3,1,117.0,187.0,90.0,1.6,6614,67.36366
-469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15297,2357,306,[],Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2022-12-18,2022-11-11,2020-04-06,141,108.48936170212765,22,3,5,"['entrepreneur', 'occrp,the-markup', 'universityofhildesheim']",,0.02,58,15,33,1,0,1,1,58.0,174.0,90.0,3.0,0,34.2977
-328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,15287,1475,145,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",Go,https://trivy.dev,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2022-12-18,2022-12-18,2019-04-11,192,79.38353115727003,268,0,5,[],,15.67,547,334,45,0,35,28,35,547.0,947.0,90.0,1.7,2726,62.29143
-19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15280,4341,426,"['forecasting', 'r', 'python']",Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2022-12-18,2022-09-21,2016-11-16,317,48.093525179856115,158,1,5,['canva'],,0.88,88,26,74,3,2,2,2,88.0,95.0,90.0,1.1,1139,48.7755
-36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15170,1708,220,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",Python,http://faker.rtfd.org,Faker is a Python package that generates fake data for you.,joke2k,2022-12-17,2022-11-30,2012-11-12,527,28.785578747628083,489,4,5,"['mdxs', 'minted', 'sailoboats', 'selfemployed']",,5.06,76,51,123,1,55,26,55,76.0,136.0,90.0,1.8,6153,69.76525
-604,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15152,1110,180,"['python', 'html', 'javascript']",Python,https://community.anaconda.cloud/c/tech-topics/pyscript,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2022-12-18,2022-12-17,2022-02-21,43,352.3720930232558,95,1,5,['anaconda'],,12.27,497,367,10,0,4,5,4,497.0,1009.0,90.0,2.0,34,48.57364
-137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,14923,1942,260,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2022-12-18,2022-12-18,2020-03-26,142,104.67034068136273,474,2,5,"['huggingface', 'huggingfaceaiinnova']",,18.37,643,505,33,0,23,25,23,643.0,1331.0,90.0,2.1,2106,69.07616
-74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14361,2385,223,"['python', 'types', 'typing', 'typechecker', 'linter']",Python,http://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2022-12-18,2022-12-16,2012-12-07,523,27.43640829694323,618,3,5,"['edgedb', 'microsoft', 'openai']",,16.12,944,561,122,0,0,7,7,944.0,2100.0,90.0,2.2,21972,76.83813
-148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14185,2432,310,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2022-12-18,2021-03-02,2017-06-10,288,49.20465807730426,65,2,5,"['maximlevin', 'none']",,0.0,1,1,67,22,0,4,4,1.0,0.0,90.0,0.0,313,33.7623
-124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,13818,3231,430,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2022-12-18,2022-12-15,2017-09-07,275,50.143079315707624,264,2,5,"['microsoft', 'microsoftresearch']",,4.88,267,175,64,0,3,5,3,267.0,461.0,90.0,1.7,32190,66.79335
-104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,13801,4298,430,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2022-12-18,2022-12-17,2011-02-10,618,22.31108545034642,440,4,5,"['constructor.io,embedika', 'http://xavvy.com', 'profoundnetworks', 'rare-technologies']",,1.77,51,41,144,0,1,6,1,51.0,100.0,90.0,2.0,156,58.49225
-332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,13800,3635,539,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2022-12-18,2022-12-15,2017-09-08,275,50.10373443983403,147,1,5,['ziplineinternational'],,1.85,198,145,64,0,2,26,2,198.0,155.0,90.0,0.8,428,51.65048
-175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,13598,570,119,"['python', 'logging', 'logger', 'log']",Python,,loguru: Python logging made (stupidly) simple,delgan,2022-12-18,2022-12-02,2017-08-15,278,48.763319672131146,41,1,5,"['freelancer,upforhire']",,2.17,92,68,65,1,1,3,1,92.0,198.0,90.0,2.2,258,46.45915
-674,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13453,1011,103,[],Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2022-12-18,2022-11-09,2021-07-03,76,176.3501872659176,27,2,5,"['huggingface', 'universityofmaryland,collegepark']",,4.35,13,4,18,1,3,3,3,13.0,32.0,90.0,2.5,121,42.31203
-56,term,https://github.com/pallets/click,,,,pallets/click,click,13290,1299,183,"['python', 'cli', 'click', 'pallets']",Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2022-12-18,2022-11-01,2014-04-24,451,29.430559949383106,333,2,5,"['getsentry', 'sentry']",,1.23,65,24,105,2,5,5,5,65.0,62.0,90.0,1.0,3073,57.20947
-119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13208,3082,285,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2022-12-18,2022-12-17,2018-06-05,236,55.76357056694813,526,1,5,['databricks'],,22.33,849,680,55,0,13,24,13,850.0,2007.0,90.0,2.4,955,67.32446
-544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13184,2333,228,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2022-12-18,2020-06-01,2015-07-10,388,33.94189040088268,36,3,5,"['kitware', 'maxplanckinstituteofanimalbehavior', 'mujin']",,0.0,5,1,91,31,0,2,2,5.0,8.0,90.0,1.6,383,37.76871
-408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13100,1836,227,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2022-12-18,2022-12-12,2013-10-01,480,27.243018419489008,661,3,5,"['ansiblecoreredhatofficial', 'microsoft', 'neu.ro']",,8.35,303,207,112,0,2,26,2,303.0,598.0,90.0,2.0,5253,69.76611
-554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,12898,2145,332,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2022-12-18,2022-12-10,2017-08-09,279,46.111338100102145,163,3,5,"['carbonrobotics', 'nvidia', 'uber']",,3.12,128,75,65,0,7,14,7,128.0,269.0,90.0,2.1,93,56.58463
-507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,12835,3147,458,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2022-12-18,2022-10-24,2017-06-15,287,44.632389468455045,243,3,5,"['google', 'mimuw', 'universityofillinoisaturbana–champaign']",,0.23,14,2,67,2,0,14,14,14.0,15.0,90.0,1.1,295,50.80974
-812,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12738,4189,552,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2022-12-18,2021-06-01,2014-09-28,429,29.68242343541944,103,2,5,"['amazonwebservices', 'wedgwoodwebworks']",,0.0,27,10,100,19,0,10,10,27.0,17.0,90.0,0.6,247,42.31027
-62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,12630,2251,275,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:,plotly,2022-12-18,2022-10-27,2013-11-21,473,26.669683257918553,201,3,5,"['hextechnologies', 'netflix', 'plotly']",,3.52,166,40,110,2,9,15,9,166.0,236.0,90.0,1.4,2044,60.48519
-39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12515,2511,311,"['jupyterlab', 'jupyter']",TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2022-12-18,2022-12-16,2016-06-03,341,36.65481171548117,517,5,5,"['coiled', 'databricks', 'jupyterquantstack', 'mongodb', 'quantstack']",,15.75,777,555,80,0,53,5006,53,777.0,1800.0,90.0,2.3,5103,76.85596
-127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12327,1729,282,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2022-12-18,2022-12-16,2018-06-01,237,51.918772563176894,185,1,5,['microsoft'],,7.79,212,115,55,0,6,10,6,213.0,379.0,90.0,1.8,186,55.62039
-152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12300,1977,206,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2022-12-18,2022-12-18,2018-06-11,236,52.11864406779661,235,3,5,"['humboldtuniversität', 'rasahq', 'researchindustrialsystemsengineering(rise)']",,11.98,195,127,55,0,1,5,1,195.0,260.0,90.0,1.3,254,57.83871
-281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,12080,2664,110,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2022-12-18,2022-12-18,2016-01-28,359,33.59555025824394,173,2,5,"['stylezen', 'trimble-oss']",,14.37,245,232,84,0,58,43,58,245.0,619.0,90.0,2.5,13300,70.98461
-575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,11971,1736,247,"['python', 'bindings']",C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2022-12-18,2022-12-16,2015-07-05,389,30.762481644640236,312,3,5,"['epfl', 'lumicks', 'princetonuniversity']",,5.27,230,176,91,0,5,7,5,230.0,886.0,90.0,3.9,1836,67.64555
-52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,11960,2803,276,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2022-12-18,2022-12-15,2010-09-06,641,18.658346333853356,636,1,5,['ucberkeley'],,9.06,390,241,150,0,16,7,16,390.0,500.0,90.0,1.3,957,65.74663
-314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,11924,1113,88,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",Python,https://docs.pydantic.dev,pydantic: Data parsing and validation using Python type hints,samuelcolvin,2022-12-18,2022-12-15,2017-05-03,293,40.59727626459144,333,3,5,"['pydantic', 'pyupio', 'toucantoco']",,5.4,340,204,68,0,11,17,11,340.0,668.0,90.0,2.0,1774,66.6183
-114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11332,2231,280,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2022-12-18,2022-11-22,2017-05-15,292,38.80821917808219,265,1,5,['microsoftsemanticmachines'],,1.6,36,32,68,1,6,12,6,36.0,98.0,90.0,2.7,331,53.48101
-425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11325,1447,124,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2022-12-18,2022-11-24,2018-06-06,236,47.84248642124321,123,2,5,"['deci-ai', 'ternaus.com']",,1.29,95,40,55,1,3,4,3,95.0,133.0,90.0,1.4,24,45.96912
-105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11321,2671,469,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",Python,https://www.nltk.org,NLTK Source,nltk,2022-12-18,2022-12-13,2009-09-07,693,16.336219336219337,435,2,5,"['googleresearch', 'zytedata,scrapinghub']",,2.29,66,52,162,0,0,3,3,66.0,154.0,90.0,2.3,4758,64.34187
-346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,11301,717,88,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2022-12-18,2022-12-17,2018-12-19,208,54.14579055441479,118,1,5,['pennstate'],,29.58,698,489,49,0,75,19,75,698.0,1859.0,90.0,2.7,794,64.23435
-242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11213,2300,325,[],Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2022-12-18,2022-10-24,2019-01-15,204,54.73570432357043,91,1,5,['deepmind'],,0.77,37,6,48,2,0,0,0,37.0,26.0,90.0,0.7,7,33.55297
-320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,10984,1632,220,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",Python,,"PySimpleGUI: Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive documentation.  Examples for Machine Learning(OpenCV Integration,  Chatterbot), Rainmeter-like Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs -  PySimpleGUI.org GitHub - PySimpleGUI.com. The Minecraft of GUIs - simple to complex... does them all.",pysimplegui,2022-12-18,2022-12-17,2018-07-11,231,47.40320591861899,18,2,5,"['netperfect', 'pysimplegui']",,9.48,242,202,54,0,5,1,5,242.0,689.0,90.0,2.8,67,51.24711
-190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,10871,2643,174,"['deep-learning', 'graph-neural-networks']",Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2022-12-18,2022-12-18,2018-04-20,243,44.657863849765256,240,5,5,"['aws', 'awsailabshanghai', 'awsshanghai', 'newyorkuniversity', 'tensorchord']",,11.92,617,452,57,0,7,6,7,615.0,3148.0,90.0,5.1,47,65.24854
-122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,10804,1010,136,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2022-12-18,2022-12-15,2017-03-04,302,35.74102079395085,276,2,5,"['iterative', 'iterative.ai']",,19.79,520,371,70,0,54,73,54,519.0,1066.0,90.0,2.1,3399,70.22249
-1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,10801,2663,345,['arrow'],C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2022-12-18,2022-12-18,2016-02-17,356,30.279134961954345,976,4,5,"['clear-code', 'quantco', 'voltron-data/ursa-computing', 'voltrondata']",,41.44,1046,764,83,0,0,10,10,1046.0,5523.0,90.0,5.3,15514,82.94679
-120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,10681,1084,152,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2022-12-18,2022-12-17,2018-06-29,233,45.75703794369645,100,2,5,"['prefect', 'prefecthq']",,131.9,1305,920,54,0,47,36,47,1308.0,2629.0,90.0,2.0,362,67.07832
-192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,10628,1932,172,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2022-12-18,2020-06-05,2019-02-23,199,53.33046594982079,17,4,5,"['cortexia', 'formlogic', 'intelliatherapeutics', 'messagg']",,0.0,152,51,46,31,0,2,2,152.0,84.0,90.0,0.6,44,33.80779
-79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10608,4514,341,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",Python,https://scipy.org,SciPy library main repository,scipy,2022-12-18,2022-12-17,2011-03-09,614,17.25679758308157,1401,1,5,['quansight'],,30.5,1144,738,143,0,13,13,13,1144.0,2983.0,90.0,2.6,7282,76.57437
-11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10578,1575,216,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2022-12-18,2022-12-16,2015-01-04,415,25.48038540949759,570,2,5,"['coiled', 'voltrondata']",,11.13,346,211,97,0,0,32,32,346.0,856.0,90.0,2.5,3107,71.77885
-218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10574,1066,325,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2022-12-18,2022-10-27,2013-04-01,507,20.8560157790927,82,1,5,['google'],,0.12,17,9,118,2,1,3,1,17.0,28.0,90.0,1.6,66,41.24694
-857,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10477,1892,1730,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2022-12-18,2022-12-16,2015-12-15,365,28.636860601327605,209,1,5,['foursquare'],,7.31,185,127,85,0,59,74,59,186.0,250.0,90.0,1.3,273,59.14641
-718,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,10407,553,104,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js",pola-rs,2022-12-18,2022-12-18,2020-05-13,135,76.68315789473684,141,1,5,['aertslab'],,39.65,1083,893,32,0,26,129,26,1083.0,1784.0,90.0,1.6,102,59.74475
-72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10374,1957,218,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",Python,https://python-pillow.org,Pillow: The friendly PIL fork (Python Imaging Library),python-pillow,2022-12-18,2022-12-16,2012-07-24,542,19.11,420,3,5,"['aclark.net', 'nordsoftware', 'uploadcare']",,19.37,361,295,127,0,6,8,6,361.0,568.0,90.0,1.6,26551,74.1838
-110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10294,1693,272,[],JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2022-12-16,2021-07-29,2016-03-15,352,29.17327935222672,61,2,5,"['related-sciences', 'system1']",,0.0,25,10,82,17,0,3,3,25.0,19.0,90.0,0.8,145,38.3514
-427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10233,1866,146,[],Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2022-12-18,2022-03-07,2020-05-26,133,76.44717182497332,25,4,5,"['axera-tech', 'facebookaireseach', 'facebookairesearch', 'mtsai']",,0.02,48,13,31,10,0,0,0,48.0,51.0,90.0,1.1,66,34.74809
-50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10172,1678,252,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2022-12-18,2022-12-18,2012-06-18,548,18.562043795620436,181,3,5,"['bridgebioanalytics', 'coiled', 'universityofbritishcolumbia']",,4.69,146,116,128,0,8,3,8,146.0,305.0,90.0,2.1,522,62.58486
-166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10043,2620,405,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2022-12-18,2022-09-25,2011-04-12,609,16.467791051768565,299,1,5,['ucla'],,1.69,55,14,142,3,2,2,2,55.0,34.0,90.0,0.6,2098,51.52757
-173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,9986,399,66,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2022-12-18,2022-12-16,2019-12-24,155,64.07149404216315,32,1,5,['lofidynamics'],,2.75,183,93,36,0,6,8,6,183.0,342.0,90.0,1.9,381,49.55948
-24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,9956,1337,440,"['rl', 'ml', 'ai', 'google', 'tensorflow']",Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2022-12-16,2022-11-28,2018-07-26,229,43.367766023646546,15,1,5,['google'],,0.44,6,2,54,1,0,0,0,6.0,17.0,90.0,2.8,27,33.55339
-60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,pandas-profiling,9944,1413,150,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",Python,https://pandas-profiling.ydata.ai,pandas-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2022-12-18,2022-12-16,2016-01-09,362,27.44794952681388,105,1,5,['metamaze'],,3.54,196,144,84,0,4,18,4,196.0,260.0,90.0,1.3,60,50.62193
-87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,9887,3794,283,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2022-12-18,2022-12-17,2010-04-30,659,14.993284228769497,1186,2,5,"['gsitechnology', 'quansight']",,40.35,914,247,154,0,8,7,8,914.0,1859.0,90.0,2.0,7939,76.25086
-645,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,9831,1852,233,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2022-12-18,2022-12-18,2011-11-23,577,17.01706231454006,443,1,5,['develers.r.l.'],,7.4,6291,6242,135,0,14,5,14,6291.0,670.0,90.0,0.1,2287,66.502
-805,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,9786,640,106,"['python', 'http', 'trio', 'asyncio']",Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2022-12-18,2022-12-12,2019-04-04,193,50.5549815498155,182,2,5,"['elastic', 'encodeoss']",,3.13,130,103,45,0,5,20,5,130.0,242.0,90.0,1.9,2114,59.60811
-536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,9678,267,54,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2022-12-18,2022-12-09,2022-04-08,36,265.67058823529413,22,2,5,"['bloomberg', 'bloombergpythoninfrastructure']",,6.85,60,47,8,0,9,17,9,60.0,73.0,90.0,1.2,3,38.40438
-22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9672,1974,290,[],Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2022-12-18,2022-12-13,2017-04-24,295,32.7864406779661,204,2,5,"['facebookairesearch', 'facebookresearch']",,5.13,177,138,69,0,3,7,3,177.0,276.0,90.0,1.6,1804,60.56503
-38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9629,3983,320,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2022-12-17,2022-12-11,2015-04-09,401,23.97829953753113,622,4,5,"['amazonwebservices', 'google', 'quansight-labs', 'simularesearchlaboratory']",,9.38,222,148,94,0,19,30,19,222.0,373.0,90.0,1.7,97078,78.16955
-71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9601,2216,195,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2022-12-18,2022-12-17,2015-06-15,392,24.492346938775512,842,4,5,"['esss', 'freelancer,upforhire', 'merlinux', 'redhatinsights']",,7.56,302,217,91,0,7,24,7,302.0,631.0,90.0,2.1,42749,76.55276
-653,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9464,344,107,"['profiler', 'python', 'performance-analysis', 'profiling']",Rust,,py-spy: Sampling profiler for Python programs,benfred,2022-12-17,2022-12-09,2018-08-01,228,41.3791380387258,31,1,5,['nvidia'],,0.58,29,10,53,0,3,7,3,29.0,27.0,90.0,0.9,156,41.80836
-225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9408,616,124,"['python', 'webassembly']",Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2022-12-18,2022-12-18,2018-02-23,251,37.41818181818182,159,2,5,"['microsoft', 'mitmathdepartment']",,14.48,288,200,59,0,15,13,15,289.0,724.0,90.0,2.5,60,59.33072
-412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9355,689,82,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2022-12-18,2022-12-13,2014-03-13,457,20.444895410552608,146,2,5,"['twitter', 'yelp']",,2.08,155,139,107,0,5,20,5,155.0,361.0,90.0,2.3,1348,60.66502
-315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9255,496,136,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2022-12-18,2022-12-14,2020-05-28,133,69.28877005347593,51,2,5,"['benoitpremiumthreading', 'metecs']",,3.42,131,57,31,0,10,9,10,131.0,131.0,90.0,1.0,64,48.22041
-155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9231,1359,324,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2022-12-18,2022-03-16,2018-03-30,246,37.45913043478261,21,1,5,['na'],,0.02,3,0,57,9,0,4,4,3.0,2.0,90.0,0.7,52,29.48631
-655,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9071,525,226,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2022-12-18,2022-09-14,2015-11-08,371,24.44072363356428,55,1,5,['edgedb'],,0.6,26,6,87,3,1,11,1,26.0,37.0,90.0,1.4,569,42.85418
-238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9061,385,118,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2022-12-18,2022-12-16,2021-08-24,68,131.59128630705393,54,0,5,[],,2.98,137,67,16,0,3,5,3,137.0,308.0,90.0,2.2,42,40.84357
-142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,9012,1796,116,[],Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2022-12-18,2022-11-28,2019-07-24,177,50.71061093247589,106,2,5,"['huggingface', 'telekom']",,2.02,141,44,41,1,3,9,3,141.0,158.0,90.0,1.1,118,47.89295
-398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,8978,898,266,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest', 'hacktoberfest-accepted', 'hacktoberfest2022', 'hacktoberfest']",Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2022-12-17,2022-12-02,2012-12-06,523,17.147612551159618,195,2,5,"['centurylink', 'liquidweb']",,1.27,43,26,122,1,8,7,8,43.0,67.0,90.0,1.6,39,50.91137
-157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,8940,1529,252,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2022-12-18,2022-11-01,2010-10-17,635,14.07557354925776,302,3,5,"['cern/indico', 'getsentry', 'sentry']",,1.25,52,31,148,2,3,4,3,52.0,48.0,90.0,0.9,16433,60.77525
-371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,8935,428,80,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2022-12-17,2022-11-16,2021-03-05,93,95.63455657492355,15,1,5,['up42'],,0.52,11,6,22,1,0,2,2,11.0,7.0,90.0,0.6,14,29.63539
-517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,8923,644,79,[],Python,,pyright: Static type checker for Python,microsoft,2022-12-18,2022-12-18,2019-03-12,196,45.327285921625545,83,2,5,"['microsoft', 'microsoftcorp.']",,24.56,372,356,46,0,87,97,87,370.0,924.0,90.0,2.5,1392,64.92175
-244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8855,2275,307,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2022-12-17,2022-12-16,2016-10-10,323,27.41486068111455,255,2,5,"['aws', 'leland']",,6.06,467,322,75,0,13,10,13,467.0,343.0,90.0,0.7,372,60.47681
-132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8846,1504,291,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2022-12-18,2022-07-29,2015-11-03,371,23.788705339992315,112,3,5,"[""children'shospitalofphiladelphia"", 'eindhovenuniversityoftechnology', 'usc']",,0.35,15,4,87,5,0,4,4,15.0,13.0,90.0,0.9,20,41.04155
-780,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,8780,1520,99,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2022-12-18,2022-12-18,2022-05-30,29,302.7586206896552,159,1,5,['huggingface'],,26.25,1315,1033,7,0,23,49,23,1315.0,5140.0,90.0,3.9,5139,65.64144
-5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8684,1619,234,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2022-12-18,2022-12-03,2009-11-30,681,12.751835535976506,380,3,5,"['confluentinc', 'enkimultimedia', 'nytimes']",,0.5,167,90,159,0,0,7,7,167.0,184.0,90.0,1.1,2114,62.91664
-134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8681,1385,306,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2022-12-18,2022-12-15,2017-11-19,265,32.74084051724138,139,2,5,"['keras-teamtensorflowgooglers', 'preligens']",,1.6,47,28,62,0,4,11,4,47.0,42.0,90.0,0.9,3,43.91307
-92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8670,1024,181,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2022-12-18,2022-12-17,2018-12-27,207,41.768754301445284,130,2,5,"['predibase', 'uber']",,15.54,383,334,48,0,16,9,16,383.0,479.0,90.0,1.3,54,57.08434
-759,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,8507,960,102,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a ""dream bot"" style interface, and multiple features and other enhancements. For more info, see the website link below.",invoke-ai,2022-12-18,2022-12-18,2022-08-17,17,480.23387096774195,146,2,5,"['ares-consulting', 'ontarioinstituteforcancerresearch']",,34.5,1312,1023,4,0,12,195,12,1312.0,5106.0,90.0,3.9,230,60.02869
-523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,8496,692,113,"['artificial-intelligence', 'deep-learning', 'text-to-image']",Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2022-12-18,2022-12-15,2022-04-07,36,232.3125,16,0,5,[],,11.19,32,18,8,0,332,514,332,32.0,52.0,90.0,1.6,50,38.91026
-151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8388,1100,270,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2022-12-18,2021-10-22,2013-06-30,494,16.97484822202949,36,2,5,"['google', 'urbaninfrastructure']",,0.0,3,0,115,14,0,4,4,3.0,1.0,90.0,0.3,38,31.8955
-100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8371,1594,548,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2022-12-18,2020-04-25,2011-05-03,606,13.794020715630886,30,1,5,['twitter-research'],,0.0,6,2,142,32,1,0,1,6.0,3.0,90.0,0.5,293,31.32583
-126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,8355,985,144,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2022-12-18,2022-12-18,2020-01-23,151,55.12252591894439,148,2,5,"['microsoft', 'stasosphereonline']",,8.46,386,270,35,0,17,18,17,386.0,708.0,90.0,1.8,150,58.33886
-282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8167,636,134,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2022-12-18,2022-11-15,2012-11-18,526,15.522400217214228,268,1,5,['amazon'],,0.73,28,11,123,1,1,5,1,28.0,46.0,90.0,1.6,943,51.46999
-125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8151,584,110,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2022-12-18,2022-12-17,2018-06-21,234,34.74847746650426,109,2,5,"['ponder', 'ponder.io']",,9.44,815,505,55,0,17,14,17,815.0,1026.0,90.0,1.3,22,55.48983
-53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8074,983,205,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2022-12-17,2022-12-16,2012-03-08,562,14.35195530726257,327,1,5,['mlabs'],,29.77,388,197,131,0,7,18,7,388.0,1032.0,90.0,2.7,4467,69.1077
-294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8042,1887,320,[],Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2022-12-18,2022-11-04,2009-02-02,724,11.107734806629834,177,3,5,"['codecobblers,inc', 'healthbyro', 'jumptrading']",,1.71,93,36,169,1,0,13,13,93.0,204.0,90.0,2.2,2010,61.79429
-84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,8013,2627,272,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2022-12-18,2022-12-10,2011-06-12,601,13.329610266159696,402,1,5,['hcahealthcare'],,6.0,450,237,140,0,4,4,4,450.0,623.0,90.0,1.4,1144,62.26753
-128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,7936,710,150,[],Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2022-12-17,2022-12-18,2015-09-19,378,20.978851963746223,147,3,5,"['amazonwebservices', 'google', ""losangelestimesandstanford'sbiglocalnews""]",,3.27,112,69,88,0,1,3,1,112.0,374.0,90.0,3.3,95,55.89908
-116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,7893,741,102,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2022-12-18,2022-12-15,2019-04-18,191,41.20134228187919,176,2,5,"['quantumblack', 'softwareengineeratquantumblacklabs']",,6.88,366,212,45,0,6,9,6,366.0,529.0,90.0,1.4,9,51.69432
-706,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,7821,1838,170,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2022-12-18,2022-12-16,2016-12-02,315,24.79483695652174,175,3,5,"['formatechnologies', 'hku-cs', 'postech']",,5.5,345,128,74,0,2,4,2,345.0,419.0,90.0,1.2,11,52.01991
-7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7770,1691,239,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2022-12-18,2022-12-16,2014-10-03,428,18.136045348449482,139,2,5,"['amazonwebservices', 'istreamplanet']",,9.92,326,182,100,0,0,147,147,326.0,432.0,90.0,1.3,28646,69.8489
-29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,7751,1156,69,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2022-12-18,2022-12-16,2017-09-11,275,28.185454545454544,342,1,5,['superconductive'],,35.42,638,516,64,0,58,41,58,638.0,1340.0,90.0,2.1,158,64.43845
-422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7715,940,203,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2022-12-18,2022-12-13,2017-06-16,287,26.84145129224652,130,3,5,"['facebook', 'generatebiomedicines', 'meta']",,1.35,37,24,67,0,3,6,3,37.0,44.0,90.0,1.2,106,51.00913
-394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7692,693,112,"['python', 'async', 'websockets', 'graphql', 'http']",Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2022-12-18,2022-12-09,2018-06-25,234,32.87179487179487,217,2,5,"['encode', 'encodeoss']",,4.56,129,96,55,0,12,27,12,129.0,273.0,90.0,2.1,1476,62.04619
-367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7687,1837,72,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2022-12-18,2022-12-16,2021-07-17,74,103.47884615384615,67,4,5,"['markany', 'megvii-basedetection', 'megviibasedetection', 'wandb']",,0.92,122,50,17,0,2,3,2,122.0,147.0,90.0,1.2,10,43.39891
-495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,7647,730,115,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2022-12-18,2022-12-17,2018-06-26,233,32.69945021380574,215,2,5,"['cwi', 'duckdblabs']",,131.92,1149,956,55,0,8,7,8,1150.0,1990.0,90.0,1.7,349,66.68811
-815,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,7640,969,99,"['image-processing', 'background-removal', 'python']",Python,,Rembg is a tool to remove images background.,danielgatis,2022-12-18,2022-12-14,2020-08-10,123,62.113821138211385,32,1,5,['christianclauss'],,2.35,73,51,29,0,15,13,15,73.0,149.0,90.0,2.0,18,44.05328
-615,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7635,2052,483,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2022-12-18,2022-12-11,2014-06-27,442,17.25702292541169,172,2,5,"['eligaoy', 'reaktor']",,10.92,157,94,103,0,14,15,14,157.0,321.0,90.0,2.0,1572,64.57422
-95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7633,581,144,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2022-12-18,2022-12-08,2014-09-27,429,17.780698835274542,72,3,5,"['maartenbreddels', 'rungalileo', 'xdss']",,4.52,131,68,100,0,0,44,44,131.0,263.0,90.0,2.0,29,55.82363
-10,util,https://github.com/cython/cython,,,,cython/cython,cython,7517,1345,230,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2022-12-18,2022-12-15,2010-11-21,630,11.929041033779189,489,2,5,"['ecrcatkaust', 'mlabs']",,9.35,222,136,147,0,8,15,8,222.0,496.0,90.0,2.2,4115,69.15892
-440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7514,753,118,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2022-12-17,2022-12-16,2018-08-22,225,33.289873417721516,195,4,5,"['computervisioncenter', 'czechtechnicaluniversityinprague', 'kaust', 'kornia.org']",,6.37,236,174,53,0,6,8,6,236.0,411.0,90.0,1.7,103,59.02274
-322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7496,804,146,"['graphql', 'python', 'relay', 'framework', 'graphene']",Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2022-12-17,2022-12-11,2015-09-24,377,19.85319712447976,194,1,5,['wasmerio'],,0.79,49,34,88,0,4,8,4,49.0,110.0,90.0,2.2,1177,55.6152
-470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,7463,1365,178,"['nlp', 'language-understanding', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'infoxlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'wavlm', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model']",Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2022-12-18,2022-11-28,2019-07-23,177,41.960642570281124,50,1,5,['microsoftresearch'],,6.02,136,79,41,1,0,1,1,136.0,207.0,90.0,1.5,32,42.86846
-547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7310,784,121,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2022-12-18,2022-12-16,2018-02-21,251,29.040862656072644,220,1,5,['preferrednetworks'],,46.4,323,226,59,0,11,11,11,323.0,983.0,90.0,3.0,1036,65.43558
-28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7217,750,145,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",Python,,Trax — Deep Learning with Clear Code and Speed,google,2022-12-18,2022-11-09,2019-10-05,167,43.141759180187876,78,2,5,"['google', 'mimuw']",,0.38,8,1,39,1,0,6,6,8.0,5.0,90.0,0.6,19,38.19324
-70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7187,1711,225,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'aesara', 'hacktoberfest', 'pytensor']",Python,https://docs.pymc.io/,pymc: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor,pymc-devs,2022-12-18,2022-12-18,2009-05-05,710,10.11032958199357,428,2,5,"['msueconomics/skoltechcs', 'pymclabs']",,17.42,365,279,166,0,22,5,22,365.0,941.0,90.0,2.6,236,67.66503
-455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7126,1612,462,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",Python,http://tensorlayer.org,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2022-12-17,2022-04-23,2016-06-07,340,20.906119027661358,132,4,5,"['columbiauniversity', 'imperialcollegelondon,pangaeadata', 'pekinguniversity', 'universityofedinburgh']",,0.04,2,0,80,8,0,13,13,2.0,2.0,90.0,1.0,52,42.39194
-165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7043,1449,122,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2022-12-17,2022-12-16,2018-05-09,240,29.258753709198814,98,3,5,"['classi', 'noom', 'statisticscanada']",,12.69,115,68,56,0,8,7,8,115.0,161.0,90.0,1.4,94,55.87857
-758,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,7014,271,71,"['electron-app', 'macos', 'stable-diffusion']",JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2022-12-18,2022-11-23,2022-09-06,14,472.09615384615387,16,0,5,[],,3.87,338,129,3,1,13,57,13,338.0,773.0,90.0,2.3,0,29.38445
-868,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,7002,658,88,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training']",Python,https://www.colossalai.org/,ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era,hpcaitech,2022-12-18,2022-12-18,2021-10-28,59,117.53956834532374,82,2,5,"['hpc-aitech', 'hpcaitech']",,27.52,514,452,14,0,18,17,18,511.0,266.0,90.0,0.5,3,47.94364
-846,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,6943,1093,159,"['data-science', 'feature-extraction', 'time-series']",Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2022-12-17,2022-11-18,2016-10-26,320,21.648552338530067,82,2,5,"['apple', 'universityofauckland']",,0.1,24,6,75,1,1,5,1,24.0,48.0,90.0,2.0,26,42.05837
-650,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,6939,232,69,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python",plasma-umass,2022-12-18,2022-12-16,2019-12-17,156,44.23770491803279,34,2,5,"['umassamherst', 'universityofmassachusettsamherst']",,11.71,93,52,37,0,21,12,21,94.0,167.0,90.0,1.8,76,52.01886
-150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6846,1070,193,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2022-12-18,2022-12-18,2017-07-18,282,24.203030303030303,1038,2,5,"['yandex', 'yandexnv']",,117.42,146,58,66,0,5,16,5,146.0,263.0,90.0,1.8,276,66.9368
-171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,6806,1032,140,[],Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2022-12-18,2022-12-16,2019-10-25,164,41.39183318853171,110,3,5,"['caltech', 'facebook', 'facebookairesearch']",,6.92,88,37,38,0,3,4,3,88.0,123.0,90.0,1.4,383,54.79397
-286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,6758,474,99,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2022-12-18,2022-12-18,2017-10-23,269,25.12267657992565,72,2,5,"['datasette', 'latacora']",,8.62,178,108,63,0,19,25,19,178.0,853.0,90.0,4.8,557,62.26816
-65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6669,1522,125,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2022-12-18,2022-12-18,2019-11-23,160,41.606951871657756,107,4,5,"['konfio', 'o9solutions', 'pycaret', 'softwareengineeranyscale']",,19.88,307,228,37,0,5,8,5,307.0,380.0,90.0,1.2,194,58.63736
-131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6666,1208,213,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2022-12-18,2022-12-07,2015-07-02,389,17.11111111111111,88,5,5,"['albert-ludwigs-universitätfreiburg', 'automl.org', 'awsberlin', 'centerforarmyanalysisandsimulation', 'universityoffreiburg']",,2.65,71,34,91,0,5,5,5,71.0,101.0,90.0,1.4,388,57.50293
-197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,6663,591,161,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2022-12-18,2022-02-25,2020-07-05,128,51.99665551839465,29,1,5,['boozallenhamilton'],,0.04,0,0,30,10,0,2,2,0.0,0.0,90.0,0.0,14,22.2216
-824,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6654,1119,392,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2022-12-18,2021-12-18,2019-05-03,189,35.126696832579185,6,3,5,"['alanturinginstitute,firmai', 'tilde-lab', 'universityofutah']",,0.0,0,0,44,12,0,0,0,0.0,0.0,90.0,0.0,0,15.22321
-532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6600,527,83,[],Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2022-12-18,2022-12-17,2019-06-12,183,35.925349922239505,105,2,5,"['facebook', 'facebookairesearch']",,4.27,147,91,43,0,3,6,3,147.0,233.0,90.0,1.6,47,50.43036
-67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6567,752,229,"['python', 'rest', 'flask', 'mongodb']",Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2022-12-18,2022-11-10,2012-10-22,530,12.39056603773585,211,3,5,"['cir2000', 'denoland', 'google']",,1.06,16,9,124,1,0,5,5,16.0,28.0,90.0,1.8,34,50.38291
-389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6557,1217,151,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2022-12-18,2022-12-16,2017-10-03,271,24.119285338938518,46,3,5,"['carnegiemellonuniversity', 'erasmusmedicalcentre', 'royalbankofcanada(rbc)']",,3.69,28,13,63,0,12,7,12,28.0,59.0,90.0,2.1,66,51.33773
-133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6511,1004,126,[],Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2022-12-16,2021-11-29,2011-09-06,588,11.057011159631246,93,3,5,"['contxts-io', 'databricks', 'kindred.ai']",,0.0,14,3,137,13,0,1,1,14.0,28.0,90.0,2.0,135,42.1784
-716,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6473,554,105,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2022-12-17,2022-12-17,2012-09-10,536,12.076492537313433,181,2,5,"['pioneervalleybooks', 'ubisoftinc']",,2.67,179,132,125,0,12,11,12,179.0,312.0,90.0,1.7,2531,63.55318
-215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6468,134,50,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",Python,,icecream: 🍦 Never use print() to debug again.,gruns,2022-12-18,2022-12-04,2018-02-13,252,25.579661016949153,21,3,5,"['fixpoint', 'https://arc.io,https://pep.dev', 'pku-epic']",,0.85,12,5,59,0,2,1,2,12.0,26.0,90.0,2.2,34,42.71229
-82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6443,1025,94,"['sqlalchemy', 'sql', 'python']",Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2022-12-17,2022-12-18,2018-11-27,211,30.412002697235334,583,2,5,"['redhat', 'self-employed']",,13.65,304,231,49,0,21,66,21,304.0,1209.0,90.0,4.0,10439,73.80535
-141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6424,835,158,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2022-12-18,2022-12-17,2017-09-08,275,23.323651452282157,68,1,5,['alteryx'],,6.17,161,125,64,0,25,28,25,161.0,189.0,90.0,1.2,31,50.92099
-288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6401,539,69,"['python', 'testing', 'fuzzing', 'property-based-testing']",Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2022-12-18,2022-12-11,2013-03-10,510,12.547465695883506,297,4,5,"['anthropic', 'pyupio', 'quansight', 'weomecollection']",,13.75,88,66,119,0,95,135,95,88.0,128.0,90.0,1.5,12462,72.64569
-153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6358,621,82,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2022-12-18,2022-12-11,2013-11-10,475,13.38123872519543,203,1,5,['nobatek'],,1.79,54,36,111,0,0,19,19,54.0,52.0,90.0,1.0,2390,58.91292
-230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6335,2015,111,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2022-12-17,2022-03-11,2015-10-30,372,17.009973149213657,45,3,5,"['contentful', 'drivendata', 'unseenbio']",,0.04,17,7,87,9,0,0,0,17.0,10.0,90.0,0.6,28,34.24438
-602,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6267,663,227,[],Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2022-12-17,2017-12-20,2010-06-29,650,9.628841088674276,49,5,5,"['br', 'datascopeanalytics', 'facebook', 'fivethirtyeight', 'https://github.com/verizondigital/']",,0.0,2,0,152,61,0,0,0,2.0,2.0,90.0,1.0,64,32.42307
-800,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6234,1663,227,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2022-12-17,2022-11-01,2010-10-18,635,9.817322834645669,463,3,5,"['getsentry', 'sentry', 'zalandose']",,2.62,50,34,148,2,7,7,7,50.0,43.0,90.0,0.9,9133,62.98156
-356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6219,583,239,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'cli', 'high-performance-computing', 'kubernetes']",Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2022-12-18,2022-12-14,2019-09-17,169,36.613120269133724,62,2,5,"['missingexponent', 'outerbounds']",,3.27,106,65,40,0,30,24,30,106.0,147.0,90.0,1.4,49,51.14974
-382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,6210,964,87,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'neural-search', 'squad', 'elasticsearch', 'dpr', 'information-retrieval', 'summarization', 'search-engine', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python']",Python,https://deepset.ai/haystack,"haystack: :mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.",deepset-ai,2022-12-18,2022-12-16,2019-11-14,161,38.43501326259947,149,2,5,"['deepset', 'deepset-ai']",,14.31,617,399,38,0,18,12,18,617.0,895.0,90.0,1.5,57,57.8656
-459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6207,1095,131,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2022-12-18,2022-12-15,2016-03-10,353,17.555151515151515,252,2,5,"['dbt-labs', 'fishtownanalytics']",,8.29,890,615,82,0,40,21,40,889.0,1514.0,90.0,1.7,82,62.45905
-20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6164,407,107,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2022-12-18,2022-12-17,2017-11-10,266,23.135656836461127,231,2,5,"['facebook', 'metaplatforms']",,47.44,46,22,62,0,3,16,3,46.0,51.0,90.0,1.1,322,58.0148
-556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6140,269,62,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2022-12-18,2022-12-04,2018-09-22,221,27.746933505487412,22,5,5,"['aperturescience', 'idea', 'princetonuniversity', 'quansight', 'sunyat-senuniversity']",,2.52,41,26,52,0,4,2,4,41.0,42.0,90.0,1.0,8,43.94634
-681,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6109,843,216,[],Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2022-12-17,2022-09-29,2014-11-24,421,14.510688836104514,52,5,5,"['google', 'googlebrain', 'universityofamsterdam', 'universityoftoronto', 'visa']",,0.08,7,4,98,3,0,0,0,7.0,15.0,90.0,2.1,160,44.22134
-121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,6053,759,87,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2022-12-18,2022-12-18,2018-04-30,242,25.012396694214875,256,1,5,['elementl'],,57.9,1677,1229,56,0,59,139,59,1677.0,3154.0,90.0,1.9,2733,70.22045
-73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6023,2154,166,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2022-12-18,2022-12-12,2013-05-09,501,12.00825975505554,147,3,5,"['datartibus', 'jgardinerconsultingltd.', 'stripe']",,1.81,309,276,117,0,2,2,2,309.0,344.0,90.0,1.1,671,58.69721
-879,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,5980,984,110,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",Python,https://sktime.org,sktime: A unified framework for machine learning with time series,sktime,2022-12-17,2022-12-18,2018-11-06,214,27.83244680851064,206,4,5,"['ucl', 'uclalan-turing-instituteesrc-cdrc', 'universitycollegelondon', 'universityofeastanglia']",,17.92,655,376,50,0,16,9,16,656.0,1884.0,90.0,2.9,51,63.77311
-410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,5962,522,87,"['python', 'asyncio', 'asgi', 'http', 'http-server']",Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2022-12-18,2022-12-12,2017-05-31,289,20.578895463510847,149,2,5,"['encode', 'encodeoss']",,3.92,212,178,68,0,14,26,14,212.0,395.0,90.0,1.9,3899,63.79482
-44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,5961,694,124,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2022-12-16,2022-11-11,2017-07-02,285,20.905310621242485,109,4,5,"['anaconda', 'contextlabcosanlab', 'microsoft', 'tutteinstituteformathematicsandcomputing']",,1.87,34,11,67,1,1,5,1,34.0,42.0,90.0,1.2,45,46.94678
-599,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,5875,1093,244,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2022-12-18,2022-05-31,2014-05-08,449,13.068001271051795,15,1,5,['alphagov'],,0.21,28,4,105,7,2,2,2,28.0,27.0,90.0,1.0,61,33.46287
-537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,5832,1782,184,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2022-12-18,2022-12-18,2017-12-13,261,22.283842794759824,312,2,5,"['fairatmetaai', 'nagoyauniversity']",,35.96,258,151,61,0,7,9,7,258.0,530.0,90.0,2.1,6280,69.03597
-313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,5810,265,65,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2022-12-18,2022-12-14,2018-10-06,219,26.495114006514658,82,2,5,"['astronomer', 'bloomberglp']",,1.12,51,21,51,0,4,13,4,51.0,95.0,90.0,1.9,107,49.219
-777,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,5807,316,50,[],Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2022-12-18,2022-12-15,2020-07-25,125,46.35005701254276,24,2,5,"['google', 'inspired-co']",,1.69,146,133,29,0,3,3,3,146.0,389.0,90.0,2.7,4,42.05166
-345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5713,363,70,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2022-12-18,2022-12-11,2018-06-15,235,24.266383495145632,74,3,5,"['facebookresearch', 'imperialcollegelondon', 'ucberkeley']",,0.9,40,18,55,0,10,29,10,40.0,92.0,90.0,2.3,113,52.13273
-69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5678,1566,113,"['pygithub', 'python', 'github', 'github-api']",Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2022-12-18,2022-12-15,2012-02-25,564,10.062278481012658,293,3,5,"['authzed', 'suse', 'zendesk']",,0.31,128,53,132,0,2,9,2,128.0,162.0,90.0,1.3,897,58.52648
-730,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5662,1376,190,"['machine-learning', 'security', 'benchmarking']",Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2022-12-13,2021-09-23,2016-09-15,326,17.337707786526686,129,1,5,['universityoftoronto'],,0.0,2,0,76,15,0,1,1,2.0,0.0,90.0,0.0,5,25.91041
-106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5637,963,149,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2022-12-18,2022-10-31,2016-10-23,321,17.552935943060497,44,2,5,"['centralesupelec', 'hirosystems']",,0.52,23,12,75,2,0,2,2,23.0,24.0,90.0,1.0,99,41.67353
-68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5546,2435,160,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2022-12-18,2022-12-18,2017-03-26,299,18.5396370582617,263,0,5,[],,13.81,342,231,70,0,8,14,8,342.0,571.0,90.0,1.7,806,58.38147
-773,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,5506,445,47,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",Python,,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2022-12-18,2022-12-17,2021-11-15,57,96.59649122807018,11,1,5,['musixmatchdev'],,6.69,105,84,13,0,33,33,33,105.0,214.0,90.0,2.0,7,40.77455
-643,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5495,353,33,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2022-12-18,2022-11-25,2014-09-06,432,12.711500330469267,85,4,5,"['codiumteam', 'docker', 'fueled', 'latacora']",,0.69,29,14,101,1,1,5,1,29.0,23.0,90.0,0.8,3185,53.15469
-682,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,5488,716,71,[],Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2022-12-18,2022-07-26,2021-12-20,52,105.53846153846153,5,2,5,"['huggingface', 'runwayml']",,0.52,80,14,12,5,0,0,0,80.0,126.0,90.0,1.6,16,26.98939
-439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5485,979,144,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2022-12-17,2022-11-14,2012-07-08,545,10.06158280922432,196,2,5,"['robinhoodmarkets', 'zipsale']",,0.27,31,12,127,1,0,2,2,31.0,41.0,90.0,1.3,364,50.69527
-723,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5478,771,136,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2022-12-18,2022-12-16,2018-05-31,237,23.05832832230908,64,2,5,"['amazon', 'barclaysib;columbia']",,5.81,191,159,55,0,5,3,5,191.0,321.0,90.0,1.7,5,47.82466
-193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5429,502,42,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2022-12-18,2022-12-17,2013-09-02,485,11.19381443298969,271,4,5,"['google', 'pioneervalleybooks', 'stripe', 'swisscom']",,1.6,124,92,113,0,5,15,5,124.0,106.0,90.0,0.9,9130,65.36624
-96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5326,597,139,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2022-12-18,2020-05-03,2017-08-15,278,19.09938524590164,7,1,5,['meta'],,0.0,4,0,65,32,0,0,0,4.0,5.0,90.0,1.2,5,18.51551
-579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5282,1249,173,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2022-12-18,2022-12-17,2016-08-17,330,15.971490280777537,66,5,5,"['collaborative,learning,andadaptiverobots(clear)', 'google', 'iitgandhinagar', 'indianinstituteofscience(iisc)', 'nvidia']",,10.58,7,6,77,0,1,0,1,7.0,3.0,90.0,0.4,232,50.48374
-278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5238,704,180,"['data', 'data-science', 'knowledge', 'data-analysis']",Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2022-12-18,2022-12-16,2016-08-17,330,15.838444924406048,69,2,5,"['airbnb', 'datascientistatnetflix']",,7.25,17,13,77,0,1,5,1,17.0,9.0,90.0,0.5,16,43.26415
-283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5226,312,63,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2022-12-18,2022-11-24,2016-06-27,338,15.461538461538462,87,1,5,['stxnext'],,0.75,39,15,79,1,1,8,1,39.0,28.0,90.0,0.7,60,41.094
-632,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5220,1103,119,"['python', 'cryptography']",Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2022-12-18,2022-12-17,2013-08-07,488,10.681087401344636,275,1,5,['purple-dot'],,14.67,380,359,114,0,0,11,11,380.0,341.0,90.0,0.9,11167,67.29385
-538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5219,1294,138,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2022-12-18,2022-12-17,2019-08-05,176,29.65340909090909,193,2,5,"['nvidia', 'nyu,nvidia']",,18.9,833,753,41,0,14,12,14,833.0,1535.0,90.0,1.8,885,64.79671
-511,ml,https://github.com/google/automl,,,,google/automl,automl,5211,1382,150,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",Jupyter Notebook,,automl: Google Brain AutoML,google,2022-12-16,2022-10-09,2020-03-12,144,36.044466403162055,37,2,5,"['amd', 'google']",,0.48,13,3,34,2,0,1,1,13.0,4.0,90.0,0.3,959,39.5766
-434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5172,2076,187,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2022-12-18,2022-12-17,2011-07-07,597,8.655032273487928,586,5,5,"['biomedicinediscoveryinstitute,monashuniversity', 'microsoft', 'mongodb', 'nvidia', 'universityofcalifornia,berkeley']",,5.21,376,226,139,0,2,8,2,377.0,566.0,90.0,1.5,779,66.90939
-3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5160,674,94,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series', 'forecasting']",Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2022-12-18,2022-12-17,2019-07-29,177,29.152542372881356,96,4,5,"['amazon', 'amazonai', 'amazonwebservices', 'awsai']",,12.71,481,353,41,0,10,7,10,481.0,972.0,90.0,2.0,56,58.67239
-880,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5138,557,41,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning']",Python,https://unit8co.github.io/darts/,darts: A python library for easy manipulation and forecasting of time series.,unit8co,2022-12-17,2022-12-16,2018-09-13,222,23.084724005134788,73,2,5,"['unit8co', 'unit8sa']",,4.38,278,166,52,0,10,8,10,278.0,419.0,90.0,1.5,13,50.20865
-546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5093,899,117,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2022-12-18,2022-12-10,2018-06-27,233,21.79156479217604,107,3,5,"['metaai', 'researchhuggingface,contributorjquery,pastfacebookresearch', 'uwstudent']",,0.83,18,2,54,0,0,1,1,18.0,12.0,90.0,0.7,3572,51.54595
-352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5093,412,66,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2022-12-18,2022-12-16,2019-08-09,175,29.031758957654723,109,1,5,['activeloop'],,23.83,202,178,41,0,47,30,47,202.0,254.0,90.0,1.3,242,57.54266
-161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5078,387,38,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2022-12-18,2022-12-17,2017-03-24,299,16.958969465648856,135,2,5,"['crowdflower.com', 'weightsandbiases']",,11.27,692,325,70,0,26,21,26,692.0,1398.0,90.0,2.0,363,63.31971
-301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5073,978,188,[],Python,,kaggle-api: Official Kaggle API,kaggle,2022-12-18,2021-03-15,2018-01-25,255,19.849636668529904,36,1,5,['google'],,0.0,37,7,60,21,0,0,0,37.0,41.0,90.0,1.1,27,28.9492
-81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5056,1812,140,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2022-12-18,2022-12-16,2015-01-02,415,12.170563961485557,759,3,5,"['beproud', 'fzjülich', 'timeintermedia(timedia)']",,13.21,1262,297,97,0,15,31,15,1262.0,578.0,90.0,0.5,18396,74.03639
-279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5037,379,91,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2022-12-17,2022-10-18,2017-07-06,284,17.700301204819276,108,3,5,"['netflix', 'noteable-io', 'willingconsulting']",,0.77,36,19,66,2,0,14,14,36.0,56.0,90.0,1.6,106,50.18257
-214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,5021,974,110,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2022-12-18,2022-12-12,2020-04-28,137,36.42176165803109,194,4,5,"['jpmorganchase', 'mit', 'samsung', 'universityofmontreal']",,17.15,271,185,32,0,3,3,3,271.0,521.0,90.0,1.9,1683,63.76976
-404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5017,290,88,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2022-12-18,2022-12-13,2017-01-16,309,16.236245954692556,138,2,5,"['elastic', 'hudsonrivertrading']",,6.5,128,97,72,0,0,4,4,128.0,226.0,90.0,1.8,503,57.8996
-605,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,4989,389,76,[],CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2022-12-18,2022-09-28,2020-02-19,147,33.774661508704064,11,4,5,"['applemontechnologies', 'christianclauss', 'clearcalcs', 'rjc-development']",,0.98,19,5,34,3,3,3,3,19.0,20.0,90.0,1.1,13,34.90596
-686,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,PyPDF2,4988,1143,139,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",Python,https://pypdf2.readthedocs.io/en/latest/,"PyPDF2: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2022-12-18,2022-12-17,2012-01-06,571,8.729,160,1,5,['popsql'],,12.06,157,121,133,0,47,6,47,157.0,492.0,90.0,3.1,628,63.817
-652,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,4954,217,52,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2022-12-18,2022-12-05,2014-03-13,457,10.826724945363722,47,4,5,"['datadog,formerlyllnl', 'flycode-org', 'jpmorgan', 'nordprojects']",,1.92,47,39,107,0,0,6,6,47.0,51.0,90.0,1.1,30,49.90106
-471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,4944,470,51,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2022-12-18,2022-12-17,2021-05-18,82,59.66896551724138,33,2,5,"['microsoftazure', 'xd2sketch']",,1.02,48,30,19,0,1,5,1,48.0,42.0,90.0,0.9,15,37.66943
-552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,4927,1821,51,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2022-12-18,2022-12-13,2020-06-14,131,37.569716775599126,127,3,5,"['open-mmlab,shanghaiailaboratory', 'openmmlab', 'ucsd']",,4.42,403,300,31,0,16,14,16,403.0,797.0,90.0,2.0,229,59.1407
-15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,4891,330,81,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2022-12-18,2022-12-13,2017-07-18,282,17.29141414141414,52,3,5,"['aeolusrobotics', 'ottogroupbi', 'quansight-labs']",,1.06,40,32,66,0,2,3,2,40.0,92.0,90.0,2.3,14,46.17694
-569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4841,852,123,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2022-12-17,2022-09-23,2016-03-01,354,13.642109500805153,22,1,5,['medicaluniversitygraz'],,0.17,1,0,83,3,0,3,3,1.0,1.0,90.0,1.0,68,33.28478
-169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4825,753,138,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2022-12-18,2020-07-14,2017-08-07,280,17.232142857142858,19,2,5,"['buzzfeed', 'valohai']",,0.0,10,6,65,30,0,2,2,10.0,4.0,90.0,0.4,4,24.79389
-784,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,4801,521,73,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2022-12-18,2022-09-21,2022-09-06,14,323.1442307692308,1,1,5,['universityofchicago'],,0.6,100,13,3,3,0,0,0,100.0,234.0,90.0,2.3,15,21.16343
-661,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4793,5176,172,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2022-12-18,2022-10-03,2018-09-04,223,21.410976388002553,97,3,5,"['bardeen', 'lumafield', 'udacity']",,0.08,3,1,52,3,0,0,0,3.0,0.0,90.0,0.0,1469,40.45056
-380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4781,510,125,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2022-12-18,2022-07-17,2020-08-31,120,39.84166666666667,8,1,5,['cognitifai'],,0.04,6,4,28,5,1,7,1,6.0,9.0,90.0,1.5,0,20.98298
-223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,4763,673,82,[],Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2022-12-18,2022-01-28,2021-03-13,92,51.61145510835913,23,0,5,[],,0.08,13,2,22,11,0,0,0,13.0,12.0,90.0,0.9,7,19.53991
-181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,4744,493,62,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2022-12-18,2022-10-28,2018-04-26,242,19.557126030624264,160,2,5,"['redhat,inc', 'securesauce']",,2.08,31,10,57,2,3,8,3,31.0,49.0,90.0,1.6,1216,51.92544
-642,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4742,685,119,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2022-12-18,2022-12-13,2009-10-02,689,6.878159966846249,131,2,5,"['llnl', 'tableau&salesforce']",,0.88,37,36,161,0,0,3,3,37.0,41.0,90.0,1.1,2936,56.665
-687,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4741,319,59,[],Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2022-12-18,2022-12-02,2015-04-22,399,11.860972122944961,52,0,5,[],,0.02,28,7,93,1,0,3,3,28.0,26.0,90.0,0.9,27,35.38096
-513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4722,604,126,[],Python,,apscheduler: Task scheduling library for Python,agronholm,2022-12-18,2022-12-14,2016-03-27,351,13.447518307567128,37,1,5,['nextdaysolutionsoy'],,2.81,25,16,82,0,0,8,8,25.0,53.0,90.0,2.1,713,51.27874
-265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4690,512,93,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2022-12-18,2022-11-08,2014-10-12,427,10.979933110367893,75,3,5,"['caretechowl,fhbielefeld', 'jrc-stu', 'twitter']",,0.65,8,5,100,1,2,6,2,8.0,7.0,90.0,0.9,143,45.58958
-213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4625,267,61,[],Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2022-12-16,2022-12-05,2021-06-09,79,58.01971326164875,26,2,5,"['facebookresearch', 'omnilib']",,1.02,1,0,19,0,1,4,1,1.0,0.0,90.0,0.0,106,33.13565
-551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4578,1326,83,[],Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2022-12-18,2022-12-14,2018-08-22,225,20.282278481012657,237,3,5,"['mmlab,ntu', 'open-mmlab', 'ucsd']",,5.75,283,219,53,0,18,23,18,283.0,368.0,90.0,1.3,41,58.07361
-830,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4546,319,58,"['python', 'boilerplate', 'classes', 'oop', 'attributes', 'srp']",Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2022-12-18,2022-12-18,2015-01-27,411,11.037807839056539,137,2,5,"['pocketzworld', 'variomediaag']",,4.12,61,44,96,0,3,3,3,61.0,133.0,90.0,2.2,1224,58.64417
-783,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,4525,221,85,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",Python,,dream-textures: Stable Diffusion built-in to the Blender shader editor,carson-katri,2022-12-18,2022-12-15,2022-09-08,14,310.53921568627453,7,2,5,"['blastframe', 'blenderdiplom']",,2.1,352,214,3,0,9,36,9,352.0,1050.0,90.0,3.0,5,37.42735
-247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4512,325,61,[],Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2022-12-16,2020-07-10,2015-01-21,412,10.932502596053999,39,2,5,"['freelancer,upforhire', 'infiniteforksl']",,0.0,6,0,96,30,0,1,1,6.0,3.0,90.0,0.5,53,29.83306
-97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4489,448,77,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2022-12-18,2022-12-13,2018-08-21,225,19.87539531941809,63,2,5,"['maartenbreddels', 'quantstack']",,2.63,114,64,53,0,14,29,14,114.0,285.0,90.0,2.5,77,52.98083
-312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4430,190,59,[],Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2022-12-17,2022-11-20,2018-12-18,208,21.210670314637483,53,2,5,"['franklin-ai', 'isaadvisers']",,27.5,40,6,49,0,11,88,11,40.0,47.0,90.0,1.2,59,50.74155
-66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4389,950,72,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2022-12-18,2022-12-17,2015-12-09,366,11.968445656408258,503,2,5,"['azavea', 'channable']",,36.04,722,471,86,0,28,24,28,722.0,2451.0,90.0,3.4,17832,78.20634
-206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4366,328,76,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2022-12-18,2022-03-13,2021-01-17,100,43.59771754636234,14,1,5,['adalab'],,0.04,1,0,23,9,2,35,2,1.0,1.0,90.0,1.0,37,24.99936
-196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4329,338,86,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2022-12-18,2022-05-21,2020-01-08,153,28.162639405204462,20,1,5,['ponder-org'],,0.35,6,0,36,7,2,4,2,6.0,11.0,90.0,1.8,0,23.75284
-21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4315,898,165,[],Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2022-12-08,2021-05-18,2017-07-07,284,15.170768458061275,12,3,5,"['facebookresearch', 'hewlett-packardenterprise', 'mitnlp']",,0.0,2,1,66,19,0,0,0,2.0,0.0,90.0,0.0,90,26.17873
-570,util,https://github.com/jd/tenacity,,,,jd/tenacity,tenacity,4313,217,43,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2022-12-18,2022-12-16,2016-08-11,331,13.007755277897457,74,2,5,"['mergifyio', 'waymo']",,0.17,24,7,77,0,0,9,9,24.0,27.0,90.0,1.1,502,50.34312
-603,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,4300,397,63,"['weak-supervision', 'machine-learning', 'confident-learning', 'robust-machine-learning', 'learning-with-confident-examples', 'learning-with-noisy-labels', 'noisy-data', 'data-cleaning', 'audio-classification', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'image-classification', 'label-errors', 'noisy-labels', 'text-classification', 'data-centric-ai', 'data-centric-machine-learning']",Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2022-12-18,2022-12-17,2018-05-11,240,17.88472964943553,24,3,5,"['cleanlab', 'cleanlab|mit', 'mitcsail']",,8.31,170,135,56,0,4,1,4,170.0,164.0,90.0,1.0,228,51.91166
-896,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,4291,165,57,[],Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2022-12-18,2022-12-16,2022-11-16,4,910.2121212121212,6,2,5,"['christianclauss', 'google']",,0.17,74,17,1,0,1,12,1,74.0,192.0,90.0,2.6,0,24.38378
-717,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4203,570,141,[],Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2022-12-17,2022-12-10,2011-03-28,612,6.867647058823529,118,4,5,"['2xlibre.netsàrl', 'buser', 'http://www.lukelee.me', 'nordsoftware']",,0.31,9,8,143,0,3,4,3,9.0,12.0,90.0,1.3,117,50.9936
-101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4183,796,121,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2022-12-18,2022-12-18,2014-08-14,435,9.603476549688422,91,2,5,"['coiled', 'lightning-ai,universityofwisconsin-madison']",,4.75,46,35,102,0,2,3,2,46.0,66.0,90.0,1.4,37,49.56181
-764,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4171,864,85,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2022-12-18,2022-11-06,2018-04-19,243,17.12434017595308,18,4,5,"['msft', 'tencent', 'um&siat', 'whut']",,1.02,30,6,57,1,4,7,4,30.0,16.0,90.0,0.5,0,33.79657
-734,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4142,562,59,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2022-12-17,2022-12-10,2017-11-23,264,15.655507559395248,183,5,5,"['bimsbbioinfopytorch-ignite', 'cision', 'pytorch-ignitemichelin', 'quansight', 'sharechat']",,3.77,111,94,62,0,3,4,3,111.0,203.0,90.0,1.8,529,60.51595
-370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4122,434,69,[],Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2022-12-18,2022-12-16,2021-02-25,94,43.586102719033235,121,2,5,"['facebook', 'meta']",,4.67,31,19,22,0,1,1,1,31.0,48.0,90.0,1.5,118,47.46478
-293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4103,246,82,[],Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2022-12-18,2022-11-03,2013-09-13,483,8.487293144208039,74,4,5,"['coiled', 'formerlyquantopian', 'google', 'lynkertechnologies']",,0.29,15,7,113,2,1,3,1,15.0,27.0,90.0,1.8,90,46.22583
-27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4016,258,55,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2022-12-18,2022-12-16,2015-03-18,404,9.923049770561242,87,2,5,"['google', 'googledart-langflutter']",,12.4,56,41,94,0,0,21,21,56.0,45.0,90.0,0.8,2154,60.4968
-542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,4000,230,39,[],C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2022-12-18,2022-12-14,2019-03-05,197,20.216606498194945,101,2,5,"['prefix.devgmbh', 'quantstack']",,10.98,449,227,46,0,14,50,14,449.0,1062.0,90.0,2.4,0,49.83509
-565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,3963,734,121,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2022-12-18,2022-12-18,2016-07-24,334,11.860196665241556,73,2,5,"['aaltouniversity', 'universityofsoutherncalifornia']",,2.94,51,49,78,0,0,8,8,51.0,88.0,90.0,1.7,93,52.04712
-227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,3958,437,82,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2022-12-18,2022-12-15,2019-01-24,203,19.44280701754386,89,5,5,"['carbonfact', 'manomano', 'phdcandidateatuniversityofsãopaulo', 'universityofwaikato', 'volvo-cars']",,5.13,60,55,47,0,6,7,6,60.0,155.0,90.0,2.6,2,50.30314
-258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,3917,1232,119,[],Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2022-12-18,2022-12-18,2016-04-14,348,11.237295081967213,218,2,5,"['ethereum', 'ethereumfoundation']",,5.88,149,122,81,0,0,28,28,149.0,174.0,90.0,1.2,547,61.69142
-549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,3869,698,83,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2022-12-18,2022-11-30,2019-08-23,173,22.308896210873147,64,3,5,"['cuhk', 'nanyangtechnologicaluniversity', 'universityofalberta']",,3.6,461,389,40,1,12,6,12,460.0,452.0,90.0,1.0,1643,57.49587
-13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3866,538,101,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2022-12-18,2022-12-05,2016-05-18,343,11.247714048212801,110,2,5,"['rotationalio', 'rotationallabs']",,0.65,13,9,80,0,2,4,2,13.0,25.0,90.0,1.9,57,47.20525
-362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,3857,519,82,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2022-12-18,2022-12-18,2019-06-10,184,20.96195652173913,62,2,5,"['allegroai', 'techlearnersincallegroai']",,1.46,114,39,43,0,22,36,22,114.0,249.0,90.0,2.2,22,49.63001
-43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3833,303,64,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2022-12-18,2022-12-17,2016-09-09,327,11.706369982547994,112,2,5,"['extendi', 'roskomsvoboda']",,3.96,46,32,76,0,9,9,9,46.0,56.0,90.0,1.2,100,52.63675
-184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,3821,444,74,['jax'],Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2022-12-18,2022-12-17,2020-01-10,153,24.904096834264433,183,1,5,['google'],,10.9,289,218,36,0,12,7,12,289.0,489.0,90.0,1.7,588,58.74947
-355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,3820,714,74,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2022-12-17,2022-12-18,2018-12-10,210,18.19047619047619,179,3,5,"['gojekindonesia', 'tecton', 'tectonai']",,15.31,271,156,49,0,31,31,31,271.0,434.0,90.0,1.6,4,55.68404
-376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,3802,153,46,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2022-12-18,2022-12-08,2021-07-06,75,50.120527306967986,24,3,5,"['b3ta', 'myr', 'spotify']",,6.35,36,23,18,0,30,24,30,36.0,38.0,90.0,1.1,16,45.11291
-199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3769,318,69,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2022-12-17,2022-11-04,2019-07-15,179,21.05586592178771,29,0,5,[],,1.65,23,11,42,1,12,40,12,23.0,18.0,90.0,0.8,253,39.49359
-343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,3763,235,61,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2022-12-18,2022-12-17,2020-05-19,134,27.903601694915253,70,0,5,[],,3.58,97,46,31,0,6,10,6,97.0,173.0,90.0,1.8,22,42.15851
-753,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,3754,259,151,[],Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2022-12-18,2022-11-21,2022-09-08,14,257.62745098039215,2,0,5,[],,0.17,13,5,3,1,0,0,0,13.0,18.0,90.0,1.4,0,11.77752
-388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3690,420,39,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2022-12-17,2022-07-07,2019-03-21,195,18.867786705624543,33,4,5,"['clevertech', 'cresta', 'toyotaconnected', 'truefoundry']",,0.37,11,1,46,5,2,7,2,11.0,6.0,90.0,0.5,2,31.06954
-855,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3684,363,75,[],Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2022-12-17,2022-12-06,2011-10-14,583,6.314397649363369,101,2,5,"['cardiologs', 'google']",,0.73,21,14,136,0,0,4,4,21.0,23.0,90.0,1.1,225,50.60987
-357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3680,891,245,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2022-12-18,2022-12-15,2019-05-14,187,19.5893536121673,215,2,5,"['databricksamundsen-ioapache', 'lyft']",,3.73,270,253,44,0,48,33,48,270.0,147.0,90.0,0.5,16,52.59996
-822,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3663,698,89,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2022-12-18,2022-12-18,2019-10-11,166,22.00944206008584,131,2,5,"[""king'scollegelondon"", 'nvidia']",,14.46,573,466,39,0,5,22,5,572.0,1388.0,90.0,2.4,151,58.62208
-91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3644,579,76,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2022-12-18,2022-12-12,2019-07-09,179,20.260524225575853,48,3,5,"['spotify', 'toyotaresearchinstitute', 'uber']",,1.48,45,19,42,0,5,3,5,45.0,45.0,90.0,1.0,19,44.54986
-354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3635,390,213,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2022-12-17,2022-12-16,2019-08-27,172,21.02892561983471,95,2,5,"['facebook', 'meta']",,2.1,87,45,40,0,1,2,1,87.0,170.0,90.0,2.0,444,51.6051
-762,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3617,815,175,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2022-12-18,2022-12-16,2017-12-14,261,13.82796286182414,179,2,5,"['dukeuniversity', 'google']",,15.63,119,76,61,0,4,5,4,119.0,178.0,90.0,1.5,1234,60.47867
-58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3608,730,192,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2022-12-18,2022-12-16,2013-09-30,481,7.501039501039501,155,0,5,[],,8.71,128,83,112,0,2,2,2,128.0,194.0,90.0,1.5,523,52.9106
-793,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3589,212,36,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",TypeScript,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2022-12-18,2022-12-15,2020-05-21,134,26.669851380042463,31,2,5,"['orchest', 'orchest.io']",,82.5,254,225,31,0,99,75,99,254.0,203.0,90.0,0.8,757,58.83738
-423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3566,523,99,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",Python,,RPA-Python: Python package for doing RPA,tebelorg,2022-12-16,2022-09-07,2019-03-30,194,18.354411764705883,3,1,5,['universityofappliedtrialanderror'],,1.17,25,13,45,3,3,13,3,25.0,38.0,90.0,1.5,8,28.91587
-209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3563,319,45,['pywebio'],Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2022-12-18,2022-11-26,2020-02-29,146,24.3564453125,15,1,5,['christianclauss'],,1.71,27,3,34,1,0,10,10,27.0,21.0,90.0,0.8,6,33.30083
-309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3530,645,61,"['solidity', 'ethereum', 'static-analysis']",Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2022-12-17,2022-11-28,2018-09-05,223,15.77905491698595,96,1,5,['trailofbits'],,6.79,193,90,52,1,3,7,3,193.0,305.0,90.0,1.6,369,51.45896
-616,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3510,243,34,[],Python,,freezegun: Let your Python tests travel through time,spulec,2022-12-18,2022-08-12,2012-12-11,522,6.713114754098361,106,5,5,"['dryft-technologies', 'nordsoftware', 'pioneervalleybooks', 'policystat', 'yipitdata']",,0.33,22,1,122,4,0,5,5,22.0,15.0,90.0,0.7,692,49.82397
-770,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3501,164,40,"['awesome', 'database', 'spreadsheet']",TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2022-12-18,2022-12-12,2020-05-22,134,26.043570669500532,20,1,5,['gristlabs'],,10.13,117,58,31,0,8,5,8,117.0,253.0,90.0,2.2,11,43.84005
-442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3496,1955,169,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2022-12-18,2022-12-17,2012-10-09,531,6.573193661026054,506,3,5,"['cadcorp', 'google', 'spatialys']",,47.69,625,575,124,0,9,14,9,625.0,665.0,90.0,1.1,6036,74.09368
-280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3488,455,45,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2022-12-18,2022-12-06,2020-09-22,116,29.848410757946212,15,5,5,"['ada', 'expedock', 'iknl', 'mustanganalytics', 'scitedotai']",,0.44,221,136,27,0,3,11,3,221.0,544.0,90.0,2.5,0,40.16454
-287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3462,774,107,[],Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2022-12-18,2022-12-10,2013-06-27,494,7.0,183,2,5,"['planetlabs', 'udl-ai']",,3.08,204,93,115,0,5,3,5,204.0,443.0,90.0,2.2,243,58.6562
-778,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3456,516,77,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2022-12-18,2022-12-16,2020-08-31,120,28.8,4,2,5,"['huggingface', 'roboflow']",,2.33,63,25,28,0,0,0,0,63.0,92.0,90.0,1.5,0,29.1555
-782,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3428,204,33,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2022-12-18,2022-08-17,2022-06-30,24,139.51162790697674,6,2,5,"['jina-ai', 'jinaai']",,7.21,14,0,6,4,110,241,110,14.0,19.0,90.0,1.4,8,30.58344
-754,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,3406,309,80,[],Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2022-12-18,2020-04-18,2020-04-13,140,24.32857142857143,2,1,5,['enscognitique'],,0.0,8,4,33,32,0,0,0,8.0,4.0,90.0,0.5,0,10.85839
-757,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3396,165,49,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2022-12-18,2022-12-17,2017-05-31,289,11.721893491124261,20,3,5,"['datadog', 'douban', 'mongodb']",,10.4,164,126,68,0,82,15,82,164.0,303.0,90.0,1.8,205,56.4194
-462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3387,116,74,[],Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2022-12-17,2022-10-25,2012-08-24,538,6.290527991509684,18,2,5,"['elementalcognition', 'luminoso']",,0.37,2,1,126,2,0,13,13,2.0,0.0,90.0,0.0,3,31.5632
-200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3380,286,65,[],Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2022-12-18,2022-12-16,2020-10-30,111,30.333333333333332,77,1,5,['huggingface'],,7.46,287,250,26,0,15,11,15,287.0,733.0,90.0,2.6,1206,57.99184
-790,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3366,280,79,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2022-12-18,2022-12-17,2022-10-06,10,318.4054054054054,6,2,5,"['ctcmedia', 'pekinguniversity']",,1.12,114,54,2,0,0,0,0,114.0,317.0,90.0,2.8,10,30.74917
-368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3346,332,57,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2022-12-18,2022-08-06,2020-06-10,131,25.40347071583514,8,3,5,"['amazon', 'clinicalmlallenai', 'factminers']",,0.31,16,2,31,4,2,4,2,16.0,20.0,90.0,1.2,0,25.90676
-833,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3320,877,128,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2022-12-18,2022-12-18,2016-08-20,330,10.051903114186851,877,2,5,"['chickadee-tech', 'unpythonicnetworks']",,37.1,622,448,77,0,31,37,31,622.0,1458.0,90.0,2.3,5191,75.94935
-421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3311,498,146,[],Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2022-12-13,2022-12-16,2017-07-27,281,11.75900558092339,151,2,5,"['banditml', 'cornell']",,2.08,22,15,66,0,0,0,0,22.0,36.0,90.0,1.6,587,51.06759
-897,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3278,184,65,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2022-12-16,2022-11-29,2017-04-24,295,11.111864406779661,99,1,5,['kreuzwerker'],,2.85,40,22,69,1,3,2,3,40.0,67.0,90.0,1.7,34,44.93393
-4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3257,562,57,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2022-12-16,2022-12-16,2019-02-26,198,16.378591954022987,121,3,5,"['amazonwebservices', 'aws', 'vtex']",,5.17,328,297,46,0,14,26,14,328.0,1279.0,90.0,3.9,0,52.13058
-321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3247,433,57,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2022-12-18,2022-12-05,2014-11-20,421,7.702134869535751,97,1,5,['beeper'],,1.46,66,46,98,0,7,6,7,66.0,194.0,90.0,2.9,43,50.70661
-663,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3225,610,102,"['cython', 'python', 'zeromq']",Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2022-12-17,2022-12-13,2010-07-21,647,4.979047198941332,187,4,5,"['amazonwebservices', 'microsoft', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']",,3.42,60,48,151,0,0,6,6,60.0,63.0,90.0,1.1,604,60.29066
-895,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3224,652,69,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2022-12-17,2022-12-17,2019-05-15,187,17.17503805175038,98,3,5,"['amazon', 'awsawsawslabs', 'awslabs']",,5.65,176,121,44,0,27,19,27,176.0,224.0,90.0,1.3,0,48.36929
-208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3222,763,145,[],Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2022-12-14,2021-06-10,2021-05-08,84,38.227118644067794,19,1,5,['mazette!'],,0.0,2,0,20,19,0,0,0,2.0,0.0,90.0,0.0,0,12.55493
-93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3218,668,113,[],C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2022-12-13,2022-11-23,2011-10-09,584,5.508926387869895,352,3,5,"['20tabsrl', 'menodizero.it', 'unbit']",,0.52,67,33,136,1,0,11,11,67.0,85.0,90.0,1.3,1403,60.09838
-361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3216,316,77,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",Python,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2022-12-17,2022-11-11,2016-12-26,312,10.307692307692308,98,0,5,[],,5.58,6,0,73,1,0,25,25,6.0,0.0,90.0,0.0,111,40.37993
-319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3185,390,119,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2022-12-18,2022-11-23,2014-03-20,456,6.975907384230288,56,2,5,"['europeanspallationsourceeric', 'imtssrl']",,0.71,24,21,106,1,0,3,3,24.0,42.0,90.0,1.8,471,49.47621
-557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3163,587,63,"['jupyter', 'sphinx-doc', 'documentation-generator']",Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2022-12-18,2022-12-09,2018-06-14,235,13.426925409338994,118,3,5,"['imperialcollegelondon', 'stanforduniversity', 'ucberkeley']",,1.63,107,37,55,0,4,8,4,107.0,197.0,90.0,1.8,139,53.37326
-99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3161,618,82,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2022-12-18,2022-12-13,2016-04-08,349,9.04619787408013,40,2,5,"['softlandia-ltd', 'xperience.ai']",,0.75,50,30,82,0,6,10,6,50.0,105.0,90.0,2.1,1469,53.87962
-804,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3151,512,63,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2022-12-18,2022-12-08,2015-07-15,387,8.127118644067796,61,1,5,['untienots'],,1.19,51,43,90,0,0,12,12,51.0,105.0,90.0,2.1,285,52.06525
-250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3133,724,88,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2022-12-17,2022-11-04,2010-12-28,624,5.013946044810242,205,3,5,"['piclo', 'redhat,inc', 'yacademy']",,0.96,32,26,146,2,7,6,7,32.0,57.0,90.0,1.8,986,56.86937
-832,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3118,386,200,[],Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2022-12-17,2019-08-15,2012-10-26,529,5.8893685914732865,65,4,5,"['awsthinkbox', 'coiled', 'formerlyquantopian', 'voltrondata']",,0.0,2,0,124,41,0,5,5,2.0,1.0,90.0,0.5,1860,41.24297
-182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3115,452,40,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest']",Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2022-12-16,2022-12-18,2016-09-17,326,9.546847635726795,26,3,5,"['bloomberglp', 'canonical', 'redhatansible']",,3.0,283,229,76,0,26,25,26,284.0,495.0,90.0,1.7,6182,62.32967
-35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3115,592,121,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2022-12-16,2022-12-18,2013-01-04,519,5.996974697469747,47,1,5,['crunch.io'],,0.79,32,23,121,0,0,15,15,32.0,87.0,90.0,2.7,362,52.52992
-518,util,https://github.com/spack/spack,,,,spack/spack,spack,3102,1796,105,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2022-12-18,2022-12-18,2014-01-08,466,6.646464646464646,1314,3,5,"['llnl', 'np-complete', 'universityofillinoisaturbana-champaign']",,84.79,2517,1844,109,0,6,5,6,2515.0,5597.0,90.0,2.2,1578,77.96856
-443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3100,501,82,[],Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2022-12-18,2022-12-18,2011-12-31,572,5.416874687968048,140,3,5,"['gnsscience', 'nelen&schuurmans', 'planetlabs']",,3.21,221,143,134,0,14,9,14,221.0,488.0,90.0,2.2,135,60.42615
-0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3091,613,93,[],Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2022-12-18,2022-09-23,2012-04-18,556,5.552219656145753,100,2,5,"['dyte-in,mafalda-sfu', 'pioneervalleybooks']",,0.46,27,4,130,3,0,3,3,27.0,36.0,90.0,1.3,2598,50.66783
-260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3079,789,76,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2022-12-17,2022-12-09,2010-05-29,655,4.698713756267713,164,2,5,"['rangle.io', 'theinterfacefinancialgroup']",,0.62,25,19,153,0,0,4,4,25.0,100.0,90.0,4.0,1745,59.48777
-384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3070,633,74,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2022-12-18,2022-05-22,2019-04-13,192,15.965824665676077,21,2,5,"['buzzfeed', 'universityofnotredame']",,0.06,9,3,45,7,0,5,5,9.0,7.0,90.0,0.8,0,26.55902
-363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3069,1358,103,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2022-12-18,2022-12-17,2018-05-12,240,12.772294887039239,350,1,5,['google'],,14.87,577,245,56,0,30,28,30,577.0,1161.0,90.0,2.0,3456,67.56538
-140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3059,273,54,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2022-12-18,2022-12-16,2020-08-09,123,24.84106728538283,8,2,5,"['bigtincan', 'neuml']",,7.63,68,57,29,0,11,11,11,68.0,99.0,90.0,1.5,3,40.01085
-138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3043,322,71,"['machine-learning', 'natural-language-processing', 'visualization']",TypeScript,https://pair-code.github.io/lit,lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,pair-code,2022-12-18,2022-12-02,2020-07-28,124,24.371853546910756,27,2,5,"['deepmind', 'google']",,6.96,168,154,29,1,2,3,2,168.0,33.0,90.0,0.2,6,38.02059
-610,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3027,726,119,"['python', 'selenium', 'webdriver', 'selenium-python', 'e2e-testing', 'seleniumbase', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'chrome', 'webkit', 'chromedriver', 'firefox', 'test']",Python,https://seleniumbase.io,SeleniumBase: Python framework for web automation and testing that extends Selenium.,seleniumbase,2022-12-18,2022-12-18,2014-03-04,458,6.596824408468244,35,2,5,"['https://www.iboss.com/', 'nausetconsulting']",,24.38,108,105,107,0,152,86,152,108.0,127.0,90.0,1.2,318,58.30856
-42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3015,240,61,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2022-12-18,2022-09-18,2017-05-05,293,10.275073028237586,13,3,5,"['archlinux', 'sendcloud', 'universityofcambridge']",,0.79,0,0,68,3,3,2,3,0.0,0.0,90.0,0.0,73,32.26121
-336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,2999,481,110,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2022-12-17,2022-12-16,2017-06-30,285,10.507007007007006,143,1,5,['apple'],,2.0,312,236,67,0,5,6,5,312.0,465.0,90.0,1.5,49,51.19711
-698,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,2994,357,63,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2022-12-17,2022-11-25,2010-05-07,658,4.547190279887177,113,2,5,"['inria', 'inriasaclay-parietalteam']",,0.9,50,21,154,1,0,6,6,50.0,81.0,90.0,1.6,1999,55.63788
-348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,2986,325,32,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2022-12-18,2022-12-15,2020-11-25,107,27.721485411140584,31,2,5,"['evidentlyai', 'intento,evidentlyai']",,20.81,186,152,25,0,24,19,24,186.0,203.0,90.0,1.1,16,49.26592
-139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,2985,604,121,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2022-12-17,2022-12-18,2013-03-21,508,5.86938202247191,182,4,5,"['independentsoftwareengineer', 'spacescienceandengineeringcenter(ssec)', 'universityofedinburgh', 'universityofwashington']",,3.31,79,47,119,0,6,3,6,79.0,326.0,90.0,4.1,125,61.27773
-285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,2973,749,246,[],Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2022-12-18,2022-12-14,2018-09-20,221,13.41779497098646,128,2,5,"['ctrl^t', 'oplabs']",,9.48,169,126,52,0,11,16,11,169.0,335.0,90.0,2.0,146,57.49323
-221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,2973,186,44,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2022-12-17,2022-12-14,2021-03-27,90,32.92879746835443,41,1,5,['quantstack'],,15.35,137,71,21,0,22,458,22,137.0,330.0,90.0,2.4,25,49.05449
-272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,2962,449,72,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-18,2022-12-09,2010-08-19,643,4.602441731409545,220,4,5,"['appfolio', 'billy', 'indeed', 'netflix']",,4.02,30,24,150,0,2,12,2,30.0,62.0,90.0,2.1,541,59.96511
-715,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,2930,305,266,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2022-12-18,2022-12-16,2019-10-21,165,17.757575757575758,110,2,5,"['flyteorg', 'unionai']",,5.98,375,172,38,0,31,25,31,376.0,569.0,90.0,1.5,31,54.33504
-381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,2926,183,35,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2022-12-18,2022-12-13,2019-05-31,185,15.779661016949152,48,3,5,"['aimhub', 'aimhubio', 'aimstack']",,13.19,332,236,43,0,45,42,45,332.0,521.0,90.0,1.6,33,55.40027
-623,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2923,133,73,"['functional-programming', 'utilities', 'python']",Python,,funcy: A fancy and practical functional tools,suor,2022-12-17,2022-08-25,2012-10-13,531,5.501747781661737,31,3,5,"['festicket', 'iress', 'obsidian-security']",,0.12,2,0,124,4,0,5,5,2.0,2.0,90.0,1.0,110,39.72755
-77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2921,418,90,[],Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2022-12-18,2020-04-07,2014-09-30,428,6.811125916055962,30,2,5,"['mongodb', 'sundellopensourceconsultingab']",,0.0,3,0,100,33,0,3,3,3.0,2.0,90.0,0.7,18,28.51022
-390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,2908,408,119,[],Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2022-12-18,2022-03-21,2021-12-10,53,54.42780748663102,4,1,5,['texasa&mcenterforappliedtechnology'],,0.04,1,0,12,9,0,0,0,1.0,0.0,90.0,0.0,0,9.03597
-704,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2890,226,48,"['python', 'data-validation']",Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2022-12-17,2021-05-05,2012-10-10,531,5.4352498656636214,62,1,5,['cir2000'],,0.0,9,4,124,20,0,2,2,9.0,9.0,90.0,1.0,144,35.6697
-476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2887,361,95,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2022-12-17,2022-12-16,2015-12-23,364,7.915785350567959,51,3,5,"['anaconda', 'stripe', 'voltrondata']",,1.56,54,41,85,0,4,14,4,54.0,53.0,90.0,1.0,17,46.58995
-660,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2882,655,154,[],C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2022-12-18,2022-12-16,2017-09-29,272,10.578919769271106,332,1,5,['facebook'],,3.33,52,16,64,0,0,0,0,52.0,95.0,90.0,1.8,3085,55.65613
-366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2877,300,53,[],Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2022-12-16,2022-10-12,2020-04-09,140,20.466463414634145,34,3,5,"['google', 'meta', 'mosaicml']",,1.92,9,3,33,2,0,1,1,9.0,9.0,90.0,1.0,429,42.00235
-811,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2874,199,27,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks', 'hacktoberfest']",Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2022-12-17,2022-12-16,2020-01-20,152,18.907894736842106,70,1,5,['ploomber'],,13.5,68,42,35,0,0,36,36,68.0,95.0,90.0,1.4,15,48.61145
-765,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,2832,220,29,"['outpainting', 'stablediffusion']",Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2022-12-18,2022-12-13,2022-09-02,15,183.55555555555554,6,1,5,['cuhk'],,4.29,123,65,4,0,0,9,9,123.0,352.0,90.0,2.9,10,35.96787
-624,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2825,221,35,[],Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2022-12-17,2022-12-05,2012-04-26,555,5.084854718436616,92,3,5,"['mozilla', 'universityofoxford', 'wurlinc']",,1.31,25,22,130,0,3,4,3,25.0,30.0,90.0,1.2,420,53.58365
-761,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2821,756,97,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2022-12-18,2022-12-12,2018-12-12,209,13.451634877384196,155,1,5,['ibm'],,1.4,49,37,49,0,16,21,16,49.0,53.0,90.0,1.1,4225,56.82784
-261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2817,242,45,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2022-12-18,2022-12-10,2021-07-28,72,38.74066797642436,13,2,5,"['salesforce', 'twilio']",,0.92,18,13,17,0,11,11,11,18.0,22.0,90.0,1.2,39,39.13298
-270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2808,345,44,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2022-12-18,2022-12-13,2018-12-21,208,13.472241261137766,166,2,5,"['apollographql', 'strawberry-graphql']",,12.23,350,210,49,0,178,123,178,350.0,691.0,90.0,2.0,90,59.89905
-787,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2806,481,93,[],Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2022-12-18,2022-10-03,2019-02-05,201,13.900920028308564,44,2,5,"['carbon-re', ""o'reillymedia""]",,0.15,3,2,47,3,0,0,0,3.0,2.0,90.0,0.7,6,29.69672
-154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2796,190,53,"['pandas', 'dataframe', 'gui', 'viewer']",Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2022-12-17,2022-03-16,2019-06-12,183,15.219284603421462,13,1,5,['dionresearch'],,0.06,7,1,43,9,0,12,12,7.0,2.0,90.0,0.3,30,28.18837
-792,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2789,184,79,[],Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2022-12-18,2022-12-17,2022-07-15,22,124.35031847133757,18,1,5,['facebook'],,0.56,128,88,5,0,1,2,1,128.0,328.0,90.0,2.6,0,29.81618
-488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2788,857,107,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2022-12-18,2022-12-18,2013-09-30,481,5.796257796257796,407,3,5,"['google', 'mathandstatsdepartment', 'ncar']",,9.54,448,256,112,0,9,8,9,448.0,1120.0,90.0,2.5,1142,69.11638
-729,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,2782,174,21,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2022-12-18,2022-12-17,2021-10-12,61,44.97459584295612,54,2,5,"['mosaicml', ""stanford'22""]",,24.19,357,327,14,0,14,24,14,357.0,326.0,90.0,0.9,21,49.75918
-203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2759,132,48,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2022-12-18,2021-05-06,2021-04-06,88,31.04983922829582,4,0,5,[],,0.0,10,5,21,20,0,6,6,10.0,8.0,90.0,0.8,7,17.14944
-156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,2756,276,40,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2022-12-18,2022-12-08,2020-08-05,123,22.27713625866051,17,2,5,"['facebookairesearch', 'microsoft']",,1.21,26,22,29,0,8,32,8,26.0,57.0,90.0,2.2,4,39.2533
-641,testing,https://github.com/behave/behave,,,,behave/behave,behave,2739,608,120,[],Python,,"behave: BDD, Python style.",behave,2022-12-17,2022-12-10,2011-10-25,581,4.707341026270562,85,2,5,"['painless-software', 'smartsgroupmarketsurveillance,nasdaqomx']",,1.19,62,31,136,0,0,2,2,62.0,99.0,90.0,1.6,391,52.77193
-709,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2733,166,26,"['pandas', 'python', 'parallel']",Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2022-12-18,2022-12-06,2019-03-10,197,13.86304347826087,22,4,5,"['boatboatboat', 'caddi', 'https://www.kiln.fi/', 'swissdatasciencecenter']",,0.87,26,14,46,0,8,10,8,26.0,48.0,90.0,1.8,4,42.39175
-170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2702,363,47,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2022-12-17,2022-12-15,2020-05-04,137,19.722627737226276,34,2,5,"['stanforduniversity', 'technicaluniversityofmunich']",,6.9,314,251,32,0,7,6,7,314.0,588.0,90.0,1.9,19,48.70117
-34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2659,226,44,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2022-12-18,2022-10-28,2020-04-06,141,18.858156028368793,20,2,5,"['aaltouniversity', 'imctrading']",,0.04,3,1,33,2,0,2,2,3.0,3.0,90.0,1.0,29,32.25968
-130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2635,259,85,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2022-12-17,2022-12-16,2014-10-16,426,6.177160080375084,57,2,5,"['explosion&oxykodit', 'founderexplosion']",,3.29,58,50,100,0,11,11,11,58.0,67.0,90.0,1.2,255,53.66351
-113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2630,461,96,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2022-12-12,2021-06-22,2017-07-03,285,9.228070175438596,21,3,5,"['explosion&oxykodit', 'filamentai', 'huggingface']",,0.0,7,2,66,18,0,1,1,7.0,10.0,90.0,1.4,26,31.48861
-111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2618,326,68,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2022-12-18,2020-01-22,2016-09-15,326,8.016622922134733,14,3,5,"['canva', 'zyte', 'zytedata,scrapinghub']",,0.0,7,1,76,35,0,4,4,7.0,4.0,90.0,0.6,13,27.66132
-801,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2593,213,57,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2022-12-18,2022-11-01,2011-06-24,599,4.325786463298379,41,1,5,['sentry'],,0.67,8,7,140,2,3,3,3,8.0,2.0,90.0,0.2,598,41.33771
-85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2572,396,62,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2022-12-16,2021-10-29,2018-04-13,244,10.52250146113384,36,3,5,"['data61', 'exoflare', 'xoflare']",,0.0,12,4,57,14,0,6,6,12.0,9.0,90.0,0.8,177,38.23575
-539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2562,550,52,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2022-12-18,2022-11-21,2019-12-02,159,16.11320754716981,19,1,5,['huawei-noah'],,0.38,23,4,37,1,0,0,0,23.0,20.0,90.0,0.9,2,27.44788
-611,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2559,215,46,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2022-12-17,2022-11-20,2011-05-13,605,4.226757904672015,91,3,5,"['quansight', 'scalableminds', 'scientificcomputing,csuiuc']",,0.96,24,13,141,1,2,6,2,24.0,35.0,90.0,1.5,428,51.26641
-159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2532,514,82,[],Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2022-12-18,2020-10-09,2013-08-20,486,5.200704225352113,23,2,5,"['localkitchens', 'nationalradioastronomyobservatory']",,0.0,10,3,114,27,0,0,0,10.0,10.0,90.0,1.0,81,31.09134
-428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2524,255,33,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2022-12-18,2022-12-14,2014-09-13,431,5.852268963232858,172,3,5,"['bloomberg', 'elastic', 'tableau&salesforce']",,2.38,92,86,101,0,0,10,10,92.0,141.0,90.0,1.5,14344,66.0013
-369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2518,281,51,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2022-12-18,2022-12-07,2019-12-06,158,15.893597835888187,14,5,5,"['bytedance', 'bytedance,ailab', 'bytedanceailab', 'bytedanceantnlp', 'universityofillinoisaturbana-champaign']",,1.25,69,35,37,0,3,4,3,69.0,99.0,90.0,1.4,2,40.1442
-94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2518,310,60,[],Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2022-12-18,2022-07-12,2010-02-25,668,3.766239316239316,116,1,5,"['newfirepartners,mediwareinc,holmusk,unitio-org,urwid']",,0.04,8,2,156,17,0,4,4,8.0,7.0,90.0,0.9,56,36.41909
-433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2506,620,132,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2022-12-17,2022-03-16,2015-01-15,413,6.059412780656304,85,0,5,[],,0.04,17,1,96,9,0,3,3,17.0,32.0,90.0,1.9,118,35.98206
-675,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2500,561,28,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",Jupyter Notebook,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2022-12-18,2022-12-02,2021-09-13,66,37.878787878787875,10,3,5,"['bitly', 'highfalootintechnologycorp.', 'saamaresearch']",,2.15,21,16,15,1,0,0,0,21.0,20.0,90.0,1.0,0,27.5134
-553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2477,295,51,[],Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2022-12-14,2022-12-16,2018-07-30,229,10.816593886462883,86,2,5,"['facebook', 'meta']",,6.17,156,116,53,0,11,7,11,156.0,607.0,90.0,3.9,1061,61.32058
-98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2466,450,119,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2022-12-16,2022-12-15,2014-03-17,457,5.3960612691466086,57,1,5,['xlwings'],,4.27,122,69,107,0,27,16,27,122.0,161.0,90.0,1.3,55,51.82579
-845,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2463,239,51,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2022-12-17,2022-12-18,2019-05-03,189,13.002262443438914,32,1,5,['nvidia'],,4.15,79,58,44,0,3,7,3,79.0,556.0,90.0,7.0,12,46.92848
-431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2438,313,48,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui']",Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2022-12-18,2022-12-18,2018-08-23,225,10.808106396453452,111,3,5,"['anaconda', 'cea', 'data,modelsandanalytics']",,13.71,450,272,53,0,6,103,6,450.0,654.0,90.0,1.5,55,56.87378
-600,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2428,904,96,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2022-12-18,2022-12-05,2020-03-08,145,16.728346456692915,35,4,5,"['christianclauss', 'faoopenforis', 'google', 'universityoftennessee']",,8.23,54,51,34,0,53,47,53,54.0,102.0,90.0,1.9,16,51.27888
-172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2385,120,28,[],TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2022-12-15,2022-12-05,2019-11-08,162,14.683377308707124,8,1,5,['opensourcedevrelfacebook'],,0.48,17,17,38,0,0,13,13,17.0,15.0,90.0,0.9,412,41.35194
-886,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2373,285,90,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",Jupyter Notebook,,deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.,huggingface,2022-12-18,2022-12-18,2022-04-21,34,68.64049586776859,35,1,5,['huggingface'],,7.21,63,43,8,0,0,0,0,63.0,113.0,90.0,1.8,5,35.34288
-708,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2372,313,42,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2022-12-17,2022-12-14,2018-11-05,215,11.032558139534883,20,3,5,"['bitspilanihyderabadcampus', 'mljar', 'otterclamfinance']",,0.44,32,10,50,0,3,12,3,32.0,82.0,90.0,2.6,49,44.4732
-174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2351,91,33,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2022-12-18,2022-07-14,2017-06-01,289,8.118894918598915,19,2,5,"['pyupio', 'totango']",,1.31,2,0,68,5,0,5,5,2.0,0.0,90.0,0.0,6,28.52875
-129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2341,364,63,"['holoviz', 'holoviews', 'plotting']",Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2022-12-17,2022-12-18,2014-05-07,449,5.205527318932655,126,1,5,['anaconda'],,2.62,237,108,105,0,6,41,6,237.0,294.0,90.0,1.2,40,50.91025
-136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2339,326,39,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2022-12-18,2022-04-03,2020-03-20,143,16.30776892430279,2,0,5,[],,0.17,53,37,33,9,1,8,1,53.0,46.0,90.0,0.9,21,21.07462
-858,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2339,154,43,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2022-12-17,2022-11-24,2015-11-16,370,6.321621621621621,41,4,5,"['ibmcodait', 'quantstack', 'simularesearchlaboratory', 'willingconsulting']",,0.1,29,7,86,1,0,9,9,29.0,29.0,90.0,1.0,402,49.2315
-809,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2323,239,33,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2022-12-18,2022-11-04,2019-10-05,167,13.886421861656704,53,3,5,"['beemydesk', 'fitctuinprague', 'quantstack']",,2.96,19,19,39,1,32,28,32,19.0,20.0,90.0,1.1,134,49.4776
-875,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2319,949,119,"['parallel', 'jupyter', 'python']",Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2022-12-18,2022-11-22,2015-04-09,401,5.774813233724653,112,4,5,"['amazonwebservices', 'ardoq', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']",,2.29,19,16,94,1,0,7,7,19.0,9.0,90.0,0.5,318,52.2495
-51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2305,331,28,[],Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2022-12-18,2022-12-18,2018-06-23,234,9.838414634146341,142,2,5,"['freelancer,upforhire', 'shoobx']",,8.65,134,89,55,0,13,24,13,134.0,400.0,90.0,3.0,9969,66.43243
-691,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2304,401,53,"['text2image', 'text-to-image']",Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2022-12-18,2022-10-02,2021-07-02,76,30.145794392523364,7,2,5,"['azéotropecanada', 'censys']",,0.1,2,2,18,3,0,0,0,2.0,2.0,90.0,1.0,0,19.57784
-296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2300,715,161,[],Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2022-12-17,2022-11-17,2016-04-24,347,6.625514403292181,33,2,5,"['millionintegrals', 'openai']",,0.02,33,4,81,1,0,1,1,33.0,23.0,90.0,0.7,34,37.68593
-246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2295,83,32,[],Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2022-12-17,2022-11-23,2021-03-01,94,24.414893617021278,1035,4,5,"['fzjülich', 'keepertech', 'microsoft', 'mutableminds']",,5.1,22,10,22,1,4,261,4,22.0,30.0,90.0,1.4,9,50.685
-866,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,2287,203,40,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",Python,https://www.mage.ai/,mage-ai: 🧙 A modern replacement for Airflow.,mage-ai,2022-12-18,2022-12-18,2022-05-16,31,73.7741935483871,19,1,5,['mage'],,37.4,525,488,7,0,0,0,0,525.0,134.0,90.0,0.3,18,37.98631
-696,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2285,192,37,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2022-12-18,2022-12-09,2020-02-18,147,15.454106280193237,68,2,5,"['deepmind', 'openai']",,2.69,64,39,34,0,4,4,4,64.0,40.0,90.0,0.6,34,44.70434
-814,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2282,159,13,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",Python,https://docs.deepchecks.com,deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2022-12-18,2022-12-12,2021-10-11,62,36.806451612903224,37,2,5,"['deepchecks', 'starnavi']",,17.17,255,169,14,0,35,42,35,255.0,269.0,90.0,1.1,5,46.64
-145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2269,419,62,[],C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2022-12-18,2022-04-16,2017-07-06,284,7.973393574297189,56,1,5,['twittercortex'],,0.25,18,6,66,8,2,1,2,18.0,27.0,90.0,1.5,24,34.87223
-735,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2231,375,77,"['python', 'impala', 'pandas', 'spark', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'sqlalchemy', 'pyarrow', 'arrow', 'mssql', 'polars']",Python,http://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2022-12-18,2022-12-18,2015-04-17,400,5.5715305030324656,121,2,5,"['voltron-data/ursa-computing', 'voltrondata']",,43.25,565,501,93,0,7,5,7,565.0,1237.0,90.0,2.2,428,64.44805
-308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2218,402,58,"['cryptography', 'security', 'python']",C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2022-12-18,2022-12-14,2014-05-02,450,4.924199175388519,130,2,5,"['aitaustrianinstituteoftechnology', 'cisco']",,2.35,75,64,105,0,2,12,2,75.0,126.0,90.0,1.7,1485,57.50221
-253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2172,331,39,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2022-12-18,2022-12-18,2020-08-20,121,17.866039952996474,59,3,5,"['microsoft', 'pennsylvaniastateuniversity', 'stevensinstituteoftechnology']",,5.04,138,85,28,0,22,21,22,138.0,225.0,90.0,1.6,11,50.02551
-710,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2161,98,28,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2022-12-16,2022-08-16,2018-04-07,245,8.810133954571928,17,2,5,"['freshrelevance', 'manifoldai']",,0.62,5,1,57,4,0,17,17,5.0,4.0,90.0,0.8,9,33.70657
-617,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2133,312,82,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2022-12-17,2022-12-10,2015-03-15,405,5.264809590973202,121,2,5,"['lowatt', 'redhatansible']",,0.54,16,10,94,0,5,10,5,16.0,18.0,90.0,1.1,123,49.16978
-807,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2129,356,84,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2022-12-13,2019-04-05,2018-01-10,257,8.26108647450111,11,2,5,"['aarhusuni', 'myntradesignspvtltd']",,0.0,4,0,60,45,0,0,0,4.0,3.0,90.0,0.8,20,22.01172
-503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2093,892,204,[],JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2022-12-17,2022-12-13,2015-04-22,399,5.236240171551108,36,1,5,['google'],,0.0,7,1,93,0,0,32,32,7.0,5.0,90.0,0.7,9,38.69874
-878,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2070,119,19,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'mstl', 'theta', 'automl', 'data-science']",Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2022-12-18,2022-12-16,2021-11-24,55,37.15384615384615,16,2,5,"['nixtla', 'nubank']",,16.48,124,103,13,0,22,23,22,124.0,148.0,90.0,1.2,28,46.08455
-222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2060,411,41,"['python', 'dynamodb', 'aws']",Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2022-12-15,2022-12-13,2014-01-20,465,4.43010752688172,100,2,5,"['lyft', 'openeyescientificsoftware']",,0.87,114,93,108,0,10,10,10,114.0,177.0,90.0,1.6,72,53.1558
-268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2059,213,40,"['jupyterlab', 'jupyter', 'jupyter-notebook']",TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2022-12-18,2022-12-12,2017-05-04,293,7.013625304136253,33,2,5,"['fermiumlabssrl(fermiumlabs)', 'netflix']",,3.94,66,45,68,0,9,4,9,66.0,99.0,90.0,1.5,2,43.75421
-867,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2055,35,15,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2022-12-18,2022-12-17,2022-07-27,20,99.20689655172414,8,3,5,"['grupoboticario', 'hotjar', 'resgroup']",,3.46,153,139,5,0,8,34,8,153.0,162.0,90.0,1.1,5,36.98689
-198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2053,253,37,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2022-12-17,2022-12-02,2020-04-29,137,14.907676348547717,35,2,5,"['helsing', 'maif']",,4.9,34,30,32,1,8,9,8,34.0,15.0,90.0,0.4,12,39.9646
-724,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2051,343,19,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'research', 'experiments', 'reproducibility', 'experiment-tracking', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2022-12-18,2022-12-18,2020-11-04,110,18.52516129032258,26,1,5,['hunanuniversity'],,2.81,46,38,26,0,2,3,2,46.0,49.0,90.0,1.1,7,36.89525
-860,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2035,530,92,"['jupyter', 'jupyter-notebook', 'nbconvert']",Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2022-12-10,2022-11-07,2012-08-05,541,3.760559662090813,92,4,5,"['noteable-io', 'quansight-labs', 'simularesearchlaboratory', 'wearethorn']",,1.25,22,14,126,1,0,0,0,22.0,21.0,90.0,1.0,240,48.67448
-411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,2007,423,46,"['python', 'yaml']",Python,,pyyaml: Canonical source repository for PyYAML,yaml,2022-12-17,2022-09-13,2011-11-03,580,3.4569389763779528,40,3,5,"['ansible', 'newfolddigital/bluehost', 'suse']",,0.04,36,9,135,3,0,4,4,36.0,33.0,90.0,0.9,6927,51.02787
-748,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,2006,134,36,"['fastapi', 'best-practices']",,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2022-12-18,2022-09-16,2022-08-09,18,106.37878787878788,3,1,5,['viaprotocol'],,0.81,9,3,4,3,0,0,0,9.0,25.0,90.0,2.8,0,17.00053
-881,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,2001,233,70,"['statistics', 'time-series']",Python,,pyflux: Open source time series library for Python,rjt1990,2022-12-17,2018-12-16,2016-02-16,356,5.60728582866293,6,2,5,"['gitter', 'pinseekerinc']",,0.0,0,0,83,49,0,6,6,0.0,0.0,90.0,0.0,8,19.45117
-548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,1976,164,25,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",Python,,lightly: A python library for self-supervised learning on images.,lightly-ai,2022-12-18,2022-12-15,2020-10-13,113,17.355081555834378,21,1,5,['lightly'],,5.62,92,78,27,0,38,33,38,92.0,133.0,90.0,1.4,22,44.70008
-813,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,1953,88,14,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql']",Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2022-12-18,2022-12-16,2022-03-07,41,47.63414634146341,25,2,5,"['datafold', 'webscaleinc']",,13.75,139,117,10,0,13,16,13,139.0,220.0,90.0,1.6,4,43.21385
-323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1911,488,105,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2022-12-16,2022-11-10,2012-07-17,543,3.5137903861308115,123,1,5,['self;independant'],,3.96,79,45,127,1,1,2,1,79.0,141.0,90.0,1.8,133,49.56691
-590,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1895,407,40,"['python', 'science', 'units']",Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2022-12-17,2022-11-29,2012-07-13,544,3.48071372343217,181,0,5,[],,4.02,135,73,127,1,0,4,4,135.0,335.0,90.0,2.5,462,52.74691
-233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1886,576,98,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2022-12-18,2022-12-16,2016-12-27,311,6.0476408612001835,80,1,5,['ethereumfoundation'],,0.71,13,6,73,0,0,17,17,13.0,4.0,90.0,0.3,107,44.84639
-353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1880,212,43,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2022-12-17,2022-12-14,2019-02-26,198,9.454022988505747,18,1,5,['datascienceseldonio'],,3.52,84,61,46,0,5,7,5,84.0,108.0,90.0,1.3,12,40.79834
-441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1858,490,152,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2022-12-16,2022-12-17,2013-11-04,476,3.903361344537815,140,3,5,"['astutespruce', 'corteva', 'planetlabs']",,3.12,228,122,111,0,8,18,8,228.0,254.0,90.0,1.1,102,56.91496
-755,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,1852,69,23,"['deep-learning', 'search', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'timm', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'hacktoberfest-accepted']",Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2022-12-18,2022-12-16,2022-08-01,20,92.6,20,1,5,['marqo-ai'],,8.88,196,148,5,0,6,15,6,195.0,147.0,90.0,0.8,9,37.30761
-452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1851,156,12,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2022-12-18,2022-12-16,2018-11-01,215,8.58648111332008,77,4,5,"['auxmoney', 'bcggamma', 'imperialcollegelondon', 'unionai']",,2.23,134,83,50,0,17,14,17,134.0,355.0,90.0,2.6,17,53.79806
-540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,1850,137,35,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2022-12-18,2022-12-01,2022-03-28,38,48.68421052631579,7,1,5,['garnercorp'],,0.83,21,12,9,1,0,0,0,21.0,47.0,90.0,2.2,2,24.93407
-713,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1842,565,46,[],Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2022-12-18,2022-10-22,2016-02-20,356,5.170008019246191,17,2,5,"['daimlerag', 'facebookairesearch']",,0.02,7,2,83,2,0,0,0,7.0,4.0,90.0,0.6,8,29.71181
-871,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,1836,27,24,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2022-12-18,2022-11-29,2022-01-15,48,38.023668639053255,2,2,5,"['bytelogics', 'reloadware']",,0.71,38,31,11,1,0,6,6,38.0,103.0,90.0,2.7,0,27.68228
-856,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1827,128,22,[],Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2022-12-15,2021-10-25,2012-06-26,546,3.340909090909091,24,3,5,"['nvidia', 'populus-ai', 'universityofwisconsin-madison']",,0.0,10,4,128,14,0,2,2,10.0,12.0,90.0,1.2,24,34.66087
-823,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1822,151,22,[],Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2022-12-17,2022-12-18,2013-06-28,494,3.685062120774343,39,2,5,"['amphybio-universityofsãopaulo,medicalschool', 'uqfoundation']",,1.94,40,19,115,0,3,3,3,40.0,57.0,90.0,1.4,514,51.09718
-46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1811,234,53,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2022-12-18,2022-07-26,2016-12-21,312,5.7912288716308815,41,4,5,"['imperialcollegelondon', 'maartenbreddels', 'monashuniversity', 'surf']",,0.04,8,1,73,5,0,8,8,8.0,8.0,90.0,1.0,97,41.53161
-115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1806,478,55,[],Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2022-12-18,2022-12-15,2012-09-21,534,3.3793103448275863,190,4,5,"['brookhavennationallab', 'departmentofphysicsandastronomy,macquarieuniversity', 'enthought', 'esrf']",,3.48,70,41,125,0,1,4,1,70.0,208.0,90.0,3.0,791,61.33691
-506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,1800,390,24,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence']",Python,https://flower.dev,Flower - A Friendly Federated Learning Framework,adap,2022-12-18,2022-12-16,2020-02-17,148,12.162162162162161,51,1,5,['adapgmbh'],,5.63,99,67,34,0,4,4,4,99.0,59.0,90.0,0.6,18,42.50002
-648,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1793,208,45,[],Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2022-12-18,2022-10-28,2013-05-29,498,3.595244915496992,25,3,5,"['embl,zellerlab', 'georgiatech', 'scampersand']",,0.4,5,4,116,2,0,5,5,5.0,8.0,90.0,1.6,1101,47.52383
-601,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1792,85,38,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",Python,,felicette: Satellite imagery for dummies.,plant99,2022-12-16,2021-09-08,2020-07-12,127,14.09438202247191,6,4,5,"['clemsonuniversity', 'financeandeconomicsdepartment,mgimo-odintsovo', 'mattermost', 'tempulsenoirlinuxmulindisourcehaus']",,0.0,0,0,30,16,0,2,2,0.0,0.0,90.0,0.0,0,16.70649
-295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1785,170,45,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2022-12-12,2022-10-18,2016-10-14,322,5.536109880372176,47,3,5,"['embl,zellerlab', 'mercatronicsgmbh', 'textualize']",,1.56,7,2,75,2,2,8,2,7.0,19.0,90.0,2.7,47,43.67384
-63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1778,760,89,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2022-12-17,2022-12-14,2014-09-19,430,4.130766677729837,121,0,5,[],,5.48,166,136,100,0,1,3,1,166.0,676.0,90.0,4.1,104,51.20262
-749,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,1774,155,21,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2022-12-18,2022-12-05,2022-09-06,14,119.40384615384616,10,3,5,"['earth', 'huggingface', 'student']",,2.31,103,83,3,0,15,61,15,103.0,213.0,90.0,2.1,2,36.8515
-32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1766,148,43,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2022-12-18,2022-11-07,2010-07-09,649,2.719313682358117,27,3,5,"['ibmresearch', 'sunlightlabs', 'utrechtuniversity']",,0.38,10,7,152,1,0,2,2,10.0,6.0,90.0,0.6,92,41.79416
-310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1764,185,48,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2022-12-15,2022-12-13,2015-06-02,393,4.478781284004352,31,2,5,"['graphistry', 'nvidia']",,1.44,38,21,92,0,0,22,22,38.0,32.0,90.0,0.8,36,46.8321
-9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1754,159,60,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2022-12-17,2022-02-12,2016-09-27,324,5.399296394019349,21,3,5,"['akiliinteractive', 'contextlabcosanlab', 'dartmouthcollege']",,0.63,4,4,76,10,1,3,1,4.0,4.0,90.0,1.0,25,33.18949
-201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1752,329,40,[],Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2022-12-17,2021-07-11,2019-07-01,181,9.679558011049723,38,2,5,"['01s', 'http://develated.com/']",,0.0,16,5,42,18,0,7,7,16.0,15.0,90.0,0.9,6,30.63252
-843,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1748,905,131,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2022-12-16,2022-12-16,2017-11-14,265,6.574959699086513,311,1,5,['google'],,9.71,275,152,62,0,74,93,74,275.0,3020.0,90.0,11.0,133,66.03168
-297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1714,237,23,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2022-12-14,2022-12-13,2017-05-14,292,5.866992665036674,52,3,5,"['google', 'pioneervalleybooks', 'suse']",,2.69,19,7,68,0,3,9,3,19.0,33.0,90.0,1.7,2168,54.34798
-25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1710,107,22,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2022-12-17,2022-12-05,2018-06-27,233,7.316625916870415,23,2,5,"['google', 'netguru']",,0.12,9,6,54,0,0,0,0,9.0,5.0,90.0,0.6,0,29.12146
-365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1689,61,11,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2022-12-16,2022-12-10,2021-11-17,56,29.7808564231738,4,2,5,"['collegeofcomputing,georgiatech', 'iprally']",,0.83,1,1,13,0,0,2,2,1.0,0.0,90.0,0.0,0,20.2574
-806,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1689,285,65,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2022-12-18,2022-11-02,2020-01-09,153,10.998139534883721,137,2,5,"['apihackers', 'canonical']",,0.48,85,21,36,2,2,4,2,85.0,67.0,90.0,0.8,264,45.50314
-543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1673,171,18,"['sqlalchemy', 'sql', 'python']",Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2022-12-18,2022-12-15,2018-11-27,211,7.896830748482805,155,4,5,"['helioslite', 'planetarium', 'redhat', 'self-employed']",,1.33,37,26,49,0,5,26,5,37.0,106.0,90.0,2.9,1101,59.20527
-416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1671,340,57,[],Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2022-12-17,2021-03-24,2015-04-09,401,4.161152614727855,32,2,5,"['google', 'zalandose']",,0.0,13,2,94,21,0,3,3,13.0,6.0,90.0,0.5,15,30.38527
-217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1654,87,37,[],Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2022-12-17,2022-08-31,2021-04-27,85,19.264559068219633,8,2,5,"['linkedin', 'pepsico']",,0.08,3,1,20,4,1,2,1,3.0,9.0,90.0,3.0,12,28.26619
-302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1649,170,40,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2022-12-18,2022-11-28,2014-04-02,454,3.6264530317310713,53,3,5,"['inovex', 'karlsruheinstituteoftechnology', 'universityofbristol']",,2.98,18,13,106,1,10,22,10,18.0,22.0,90.0,1.2,105,49.77932
-732,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1649,1451,16,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2022-12-18,2022-02-07,2020-06-24,129,12.712555066079295,6,2,5,"['amazon/stanforduniversity', 'readytocollaborateonaiprojects']",,0.1,3,1,30,10,0,0,0,3.0,2.0,90.0,0.7,0,17.15735
-424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1640,145,27,"['python', 'ipython', 'debugger']",Python,,ipdb: Integration of IPython pdb,gotcha,2022-12-14,2022-12-13,2011-01-15,622,2.63544536271809,54,3,5,"['bubblenet', ""let'sdelivery"", 'locatee']",,0.29,20,14,145,0,0,3,3,20.0,29.0,90.0,1.4,915,52.46091
-330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1640,483,84,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2022-12-17,2019-10-02,2017-03-07,301,5.433033601514435,7,1,5,['mit'],,0.0,4,1,70,39,0,0,0,4.0,2.0,90.0,0.5,0,13.86356
-699,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1627,106,18,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2022-12-18,2022-02-20,2016-02-03,358,4.535643170051772,24,1,5,['canonical'],,0.15,9,6,84,10,0,12,12,9.0,16.0,90.0,1.8,65,36.94029
-256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1610,518,74,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2022-12-17,2022-12-14,2017-12-16,261,6.161837069436851,104,0,5,[],,3.71,32,20,61,0,7,14,7,32.0,33.0,90.0,1.0,173,46.04048
-383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1603,182,36,[],Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2022-12-17,2022-08-09,2019-12-29,155,10.332412523020258,9,3,5,"['buzzfeed', 'lightning-ai', 'quantcopy']",,0.1,8,1,36,4,1,4,1,8.0,13.0,90.0,1.6,0,25.52238
-779,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1602,232,56,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2022-12-15,2022-08-31,2019-07-17,178,8.964028776978417,37,1,5,['deepset'],,0.04,1,0,42,4,0,7,7,1.0,0.0,90.0,0.0,39,29.59949
-509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1596,597,58,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2022-12-15,2022-12-14,2018-11-26,212,7.528301886792453,200,4,5,"['aws', 'googlers', 'preligens', 'systran']",,1.27,53,31,49,0,6,9,6,53.0,111.0,90.0,2.1,2373,60.89811
-825,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interview-enlightener,1586,327,47,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",Jupyter Notebook,,machine-learning-interview-enlightener: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2022-12-18,2022-05-25,2021-01-31,98,16.160116448326054,6,2,5,"['meta', 'sdeliveramp']",,0.12,1,0,23,7,0,0,0,1.0,0.0,90.0,0.0,0,14.13242
-767,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1584,464,52,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2022-12-18,2022-04-24,2019-03-21,195,8.099342585829072,7,1,5,['thoughtworksthoughtworksinc'],,0.19,3,0,46,8,0,0,0,3.0,1.0,90.0,0.3,35,21.99251
-768,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1577,196,15,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2022-12-18,2022-11-19,2019-11-26,159,9.865058087578195,41,1,5,['microsoftuclkcl-bmeis'],,2.33,47,33,37,1,0,83,83,47.0,115.0,90.0,2.4,14,44.03754
-195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1576,250,16,[],Python,https://pettingzoo.farama.org,PettingZoo: Gymnasium for multi-agent reinforcement learning,pettingzoo-team,2022-12-17,2022-11-15,2020-01-20,152,10.368421052631579,79,1,5,['morganstanley'],,10.38,87,70,35,1,12,11,12,87.0,116.0,90.0,1.3,40,47.54469
-263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1566,2108,151,[],Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2022-12-18,2022-12-18,2013-03-22,508,3.080078673784771,40,4,5,"['australiannationaluniversity', 'kingabdullahuniversityofscienceandtechnology', 'umaprotocol', 'universityoftokyo']",,1.73,66,37,119,0,2,4,2,66.0,168.0,90.0,2.5,932,56.56408
-597,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1562,117,32,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2022-12-17,2022-11-30,2020-01-07,153,10.152274837511607,18,1,5,['uber'],,1.6,15,7,36,1,5,8,5,15.0,11.0,90.0,0.7,22,34.74221
-377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1556,111,20,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2022-12-18,2022-01-18,2020-11-07,110,14.10880829015544,10,3,5,"['cohere-ai', 'outsystems', 'truefoundry']",,0.62,9,6,26,11,3,6,3,9.0,5.0,90.0,0.6,3,26.125
-299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1544,101,26,[],Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2022-12-18,2022-11-16,2010-04-08,662,2.3303147908581283,25,1,5,['sumologic'],,0.37,2,1,155,1,1,0,1,2.0,2.0,90.0,1.0,2,30.38733
-143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1544,113,37,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2022-12-12,2020-07-17,2018-02-24,251,6.144400227401933,4,1,5,['plasticityai'],,0.0,2,0,59,29,0,29,29,2.0,1.0,90.0,0.5,6,21.39797
-596,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1543,265,41,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2022-12-17,2022-12-16,2018-06-15,235,6.554004854368932,46,3,5,"['databricks', 'netflix', 'uber']",,0.46,13,5,55,0,11,25,11,13.0,27.0,90.0,2.1,10,44.55222
-311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1532,84,26,[],Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2022-12-13,2022-11-04,2018-03-13,248,6.156142365097589,39,3,5,"['lincolnloop', 'linkedin', 'mam-dev']",,0.21,4,2,58,2,3,4,3,4.0,3.0,90.0,0.8,8,35.40279
-662,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1526,289,54,[],Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2022-12-17,2022-12-05,2014-08-07,436,3.4954188481675392,81,1,5,['anaconda'],,1.71,30,14,102,0,0,13,13,30.0,87.0,90.0,2.9,458,54.35845
-635,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1524,76,43,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2022-12-16,2022-05-18,2017-07-22,282,5.398785425101215,10,3,5,"['actcommodities', 'cybernetica', 'skelevilletechnologysolutions']",,0.04,2,1,66,7,0,1,1,2.0,1.0,90.0,0.5,8,26.84088
-795,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1520,141,22,"['python', 'api', 'rest', 'mypy', 'pydantic', 'types', 'asgi', 'json', 'openapi', 'redoc', 'starlette']",Python,https://starlite-api.github.io/starlite/,"starlite: Light, Flexible and Extensible ASGI API framework",starlite-api,2022-12-18,2022-12-18,2021-12-06,54,28.14814814814815,71,1,5,['safehousetechnologies'],,19.87,437,412,13,0,119,112,119,437.0,889.0,90.0,2.0,78,53.60219
-799,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1509,93,24,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2022-12-17,2022-12-15,2017-11-10,266,5.663806970509383,80,1,5,['none'],,1.81,28,25,62,0,0,10,10,28.0,29.0,90.0,1.0,18,44.53971
-458,ml-dl,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,1504,70,16,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference', 'neural-network', 'pypi', 'quantization']",Python,,nebullvm: Accelerate AI models leveraging best-of-breed optimization techniques 🚀,nebuly-ai,2022-12-16,2022-12-17,2022-02-12,44,33.961290322580645,11,4,5,"['nebuly', 'nebuly-ai', 'nebuly|epfl', 'nebuly|ethzurich']",,2.23,48,30,10,0,13,16,13,48.0,19.0,90.0,0.4,2,35.80703
-205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1499,120,30,"['python', 'visualization', 'debugger']",Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2022-12-15,2021-11-13,2019-04-24,190,7.859925093632959,3,0,5,[],,0.0,0,0,44,13,0,0,0,0.0,0.0,90.0,0.0,0,6.69395
-612,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1493,119,34,"['pytest', 'mock', 'hacktoberfest']",Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2022-12-16,2022-12-16,2014-07-17,439,3.3964900877478064,64,4,5,"['esss', 'freelancer,upforhire', 'nordsoftware', 'wayfair']",,1.08,26,26,103,0,6,7,6,26.0,27.0,90.0,1.0,3125,57.46496
-224,sim,https://github.com/google/brax,,,,google/brax,brax,1479,148,31,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2022-12-17,2022-12-15,2021-06-02,80,18.323893805309734,25,2,5,"['drexeluniversity', 'instadeep']",,0.4,41,23,19,0,6,8,6,41.0,79.0,90.0,1.9,11,39.53516
-498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1473,237,68,[],Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2022-12-15,2021-12-14,2020-09-09,118,12.407942238267148,3,2,5,"['meta', 'virginiatech']",,0.0,4,2,28,12,0,0,0,4.0,5.0,90.0,1.2,0,16.40385
-436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1469,134,18,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2022-12-17,2022-12-16,2021-04-28,85,17.138333333333332,33,4,5,"['aarhusuniversity,vestas', 'argilla.io', 'maxplanckcomputing&datafacility', 'recogai']",,10.4,364,231,20,0,30,52,30,369.0,470.0,90.0,1.3,4,49.38941
-531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1455,104,36,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2022-12-18,2022-12-15,2020-12-11,105,13.800813008130081,36,1,5,['neuralmagic'],,8.13,242,216,25,0,12,12,12,242.0,161.0,90.0,0.7,9,43.60185
-703,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,1433,345,52,[],Python,,openai/openai-python,openai,2022-12-18,2022-12-07,2020-10-25,112,12.778343949044586,26,2,5,"['microsoft', 'openai']",,0.87,38,21,26,0,17,20,17,38.0,35.0,90.0,0.9,12,40.79217
-591,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1428,241,35,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2022-12-17,2022-02-18,2020-03-21,143,9.966101694915254,13,2,5,"['facebook', 'jasonhoku']",,0.02,2,0,33,10,0,1,1,2.0,2.0,90.0,1.0,7,24.14813
-638,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1428,666,59,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2022-12-16,2022-12-16,2015-09-13,379,3.7663903541823665,301,1,5,['coiled'],,15.67,479,300,88,0,0,26,26,479.0,1204.0,90.0,2.5,3056,68.77149
-861,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1423,509,50,[],Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2022-12-17,2022-12-18,2015-04-09,401,3.543578797580932,254,4,5,"['google', 'netflix', 'quansight-labs', 'simularesearchlaboratory']",,3.06,93,44,94,0,19,9,19,93.0,119.0,90.0,1.3,4472,66.48137
-324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1421,123,32,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2022-12-16,2022-12-08,2016-10-19,321,4.41696269982238,40,2,5,"['pyupio', 'syncsketch']",,2.06,63,44,75,0,11,9,11,63.0,38.0,90.0,0.6,1197,52.81789
-108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1415,227,31,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2022-12-10,2022-06-03,2016-02-26,355,3.9811093247588425,48,2,5,"['charliehealth', 'gemovationlabs']",,0.02,2,0,83,7,0,8,8,2.0,1.0,90.0,0.5,61,35.74429
-378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1405,184,15,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2022-12-18,2022-12-09,2019-10-30,163,8.582024432809773,16,2,5,"['dtn', 'thoughtworks']",,1.15,15,7,38,0,4,23,4,15.0,30.0,90.0,2.0,151,43.40087
-429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1388,116,16,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2022-12-17,2022-12-18,2019-08-17,174,7.963934426229508,45,3,5,"['google', 'quantstack', 'universityofoxford']",,3.71,49,29,41,0,4,13,4,49.0,76.0,90.0,1.6,4,44.04962
-683,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1377,68,25,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2022-12-18,2022-08-30,2022-05-03,32,41.90869565217391,7,2,5,"['christianclauss', 'spotify']",,0.58,15,6,8,4,0,0,0,15.0,14.0,90.0,0.9,0,19.33768
-149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1375,606,88,"['salesforce', 'api', 'api-client', 'python']",Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2022-12-18,2022-12-07,2013-01-17,517,2.6566381451835497,75,2,5,"[':+1:', 'salesforce']",,0.21,29,11,121,0,5,4,5,29.0,46.0,90.0,1.6,25,46.60257
-284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1373,165,46,"['python', 'orm', 'database']",Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2022-12-18,2022-03-13,2015-05-24,395,3.4746926970354304,32,2,5,"['bellawatt', 'masoniteframework']",,0.02,2,0,92,9,0,4,4,2.0,0.0,90.0,0.0,4,27.07055
-438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1371,165,40,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2022-12-18,2022-12-11,2021-03-10,92,14.787365177195685,19,3,5,"['germanaerospacecenter(dlr)', 'naxa', 'universityoftennessee']",,5.79,40,37,22,0,42,35,42,40.0,85.0,90.0,2.1,4,44.67672
-267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1366,87,22,"['latex', 'academic-publishing', 'science', 'arxiv']",Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2022-12-14,2022-01-18,2017-08-12,279,4.8910485933503836,9,1,5,['replicate'],,0.13,26,15,65,11,0,0,0,26.0,18.0,90.0,0.7,3,23.08011
-721,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1360,71,17,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2022-12-16,2022-12-17,2018-09-03,224,6.071428571428571,28,3,5,"['ceph', 'facebook', 'facebookairesearch']",,2.33,51,35,52,0,4,4,4,51.0,34.0,90.0,0.7,58,45.53101
-298,crypto,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1357,173,28,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2022-12-17,2022-12-08,2021-03-09,92,14.613846153846154,16,2,5,"['amazonwebservices', 'student']",,10.13,16,10,22,0,5,15,5,16.0,29.0,90.0,1.8,4,39.07736
-613,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1356,190,34,"['pytest', 'python']",Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2022-12-18,2022-12-03,2014-04-17,452,2.996212121212121,81,2,5,"['freelancer,upforhire', 'nordsoftware']",,0.73,39,18,106,1,0,5,5,39.0,78.0,90.0,2.0,6181,56.35296
-478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1344,235,44,[],Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2022-12-15,2022-10-04,2018-09-20,221,6.065764023210832,48,2,5,"['google', 'uncandhuggingface']",,0.13,1,1,52,3,0,1,1,1.0,1.0,90.0,1.0,40,34.48272
-318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1343,252,56,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2022-12-17,2022-12-18,2016-01-04,363,3.6997245179063363,131,4,5,"['freelance,opentofull-timeemployment', 'optimizely', 'vw-dilab', 'zetta.io']",,15.96,135,102,85,0,0,18,18,135.0,153.0,90.0,1.1,112,60.60646
-460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1339,311,65,"['natural-language-processing', 'machine-learning', 'research']",Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2022-12-16,2022-12-16,2018-10-16,217,6.146229508196721,10,3,5,"['google', 'googleresearch', 'universityofwashington']",,0.1,16,3,51,0,0,0,0,16.0,3.0,90.0,0.2,20,32.42777
-876,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1332,496,27,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2022-12-18,2022-11-30,2021-12-19,52,25.545205479452054,9,2,5,"['google', 'lightning-ai,universityofwisconsin-madison']",,2.19,31,23,12,1,2,2,2,31.0,31.0,90.0,1.0,10,32.10811
-659,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1331,261,45,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2022-12-10,2022-12-12,2016-10-21,321,4.140888888888889,57,5,5,"['inria', 'nvidiaai', 'quansight', 'simulametropolitan', 'universityofcalifornia,losangeles']",,4.83,33,22,75,0,0,3,3,33.0,47.0,90.0,1.4,8377,60.62134
-898,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1325,223,41,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2022-12-18,2022-10-17,2017-07-13,283,4.672544080604534,24,4,5,"['boitas', 'bumblebee', 'life', 'pyupio']",,4.33,22,16,66,2,13,23,13,22.0,8.0,90.0,0.4,7,41.24626
-317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1318,248,29,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2022-12-18,2022-12-16,2019-06-09,184,7.1574864235841735,140,2,5,"['itv', 'tomtom-international']",,7.25,92,65,43,0,6,14,6,92.0,261.0,90.0,2.8,225,56.81863
-450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1316,348,61,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2022-12-15,2022-10-27,2014-05-07,449,2.926302414231258,81,3,5,"['amazonwebservices', 'databricks', 'quantstack']",,1.98,40,22,105,2,4,9,4,40.0,72.0,90.0,1.8,13,46.28313
-877,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1290,223,36,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2022-12-17,2022-12-12,2017-03-30,298,4.320574162679426,22,4,5,"['chivalrysoftware', 'microsoft', 'sevcosecurity', 'toyota-connected']",,0.46,21,10,70,0,6,7,6,21.0,13.0,90.0,0.6,11,41.37331
-766,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1288,172,19,[],Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2022-12-18,2022-11-22,2022-09-15,13,94.90526315789474,13,0,5,[],,1.79,56,34,3,1,0,0,0,56.0,94.0,90.0,1.7,4,23.08613
-676,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,incubator-sedona,1282,536,101,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",Java,http://sedona.apache.org/,incubator-sedona: A cluster computing framework for processing large-scale geospatial data,apache,2022-12-18,2022-12-18,2015-04-24,399,3.209585121602289,91,4,5,"['bloomberg', 'grab', 'nttdata', 'wherobots']",,3.79,52,46,93,0,3,10,3,52.0,62.0,90.0,1.2,0,45.42157
-391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1272,185,24,"['image-translation', 'gans', 'anime']",Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2022-12-18,2022-02-05,2021-12-17,52,24.26158038147139,3,1,5,['huggingface'],,0.48,3,0,12,11,0,0,0,3.0,1.0,90.0,0.3,12,14.76421
-465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1254,206,24,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2022-12-18,2022-12-18,2021-07-12,75,16.72,132,3,5,"['facebook', 'facebookai', 'pytorch']",,15.67,312,272,17,0,5,4,5,312.0,699.0,90.0,2.2,568,59.54388
-514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1243,194,20,[],Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2022-12-16,2022-11-23,2016-12-28,311,3.9876260311640697,16,1,5,['nextdaysolutionsoy'],,1.04,20,8,73,1,0,3,3,20.0,50.0,90.0,2.5,3,35.19549
-581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1234,138,20,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2022-12-18,2022-12-17,2021-02-22,95,12.989473684210527,26,3,5,"['carnegiemellonuniversity', 'pekinguniversity', 'ucberkeley']",,6.83,128,101,22,0,12,7,12,127.0,225.0,90.0,1.8,19,47.97136
-885,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1231,209,20,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2022-12-17,2022-12-06,2019-08-15,174,7.051554828150572,14,1,5,['okratechnologies'],,3.37,35,26,41,0,6,11,6,35.0,29.0,90.0,0.8,61,40.68059
-372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1230,144,33,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2022-12-18,2022-12-17,2021-05-21,82,14.922010398613518,27,3,5,"['dronebase', 'microsoft', 'universityofillinoisaturbana-champaign']",,7.88,202,160,19,0,5,4,5,202.0,309.0,90.0,1.5,13,46.07121
-829,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1220,97,61,[],Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2022-12-18,2022-12-15,2022-10-13,9,127.46268656716418,10,3,5,"['drcfsorg', 'huggingface', 'relx']",,1.31,27,25,2,0,0,0,0,27.0,38.0,90.0,1.4,0,25.81276
-178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1217,275,48,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2022-12-16,2022-12-15,2017-03-14,300,4.045109211775879,14,3,5,"['cotonoha', 'explosion', 'founderexplosion']",,3.63,5,4,70,0,166,128,166,5.0,0.0,90.0,0.0,68,43.1726
-414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1215,223,37,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2022-12-14,2021-06-07,2014-06-26,442,2.7453195610071015,63,1,5,['nasa'],,0.0,10,2,103,19,0,2,2,10.0,14.0,90.0,1.4,37,33.54696
-474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1196,73,37,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2022-12-18,2022-12-12,2020-12-14,105,11.39047619047619,29,1,5,['neuralmagic'],,6.83,179,159,24,0,12,13,12,179.0,111.0,90.0,0.6,0,37.86105
-435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1187,189,40,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2022-12-18,2022-12-15,2018-05-11,240,4.937017231134878,41,2,5,"['precognit', 'pythiac']",,2.85,160,113,56,0,8,9,8,160.0,131.0,90.0,0.8,7,44.85376
-162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1184,154,30,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2022-12-18,2022-12-16,2019-07-26,177,6.673107890499195,19,3,5,"['explosion&oxykodit', 'founderexplosion', 'indeedeng']",,0.58,14,12,41,0,5,11,5,14.0,5.0,90.0,0.4,14,38.14826
-264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1182,61,15,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2022-12-16,2022-12-14,2020-08-02,124,9.521288837744533,30,3,5,"['kaizentech', 'leyantech', 'wheel-me']",,5.63,121,100,29,0,7,31,7,121.0,131.0,90.0,1.1,130,49.95899
-566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1179,434,54,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2022-12-18,2022-12-15,2017-07-22,282,4.176619433198381,1,1,5,['universityofsoutherncalifornia'],,0.31,2,2,66,0,0,2,2,2.0,1.0,90.0,0.5,3,23.77454
-451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1168,235,31,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2022-12-17,2022-12-17,2013-05-04,502,2.3253697383390217,95,4,5,"['actions', 'independentsoftwareengineer', 'mongodb', 'usr-lab']",,2.46,52,36,117,0,26,7,26,52.0,155.0,90.0,3.0,2463,65.32585
-647,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1163,236,59,[],Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2022-12-15,2022-12-16,2011-06-03,602,1.9305193265354517,110,2,5,"['coornhertgymnasium', 'francescalted']",,4.96,36,22,141,0,1,4,1,36.0,105.0,90.0,2.9,132,53.64475
-304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1162,42,12,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2022-12-16,2022-12-07,2020-10-16,113,10.244332493702771,18,1,5,['featureform'],,47.98,124,103,26,0,6,4,6,124.0,103.0,90.0,0.8,9,42.88447
-494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1159,289,27,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2022-12-17,2021-12-12,2017-12-09,262,4.418845315904139,1,0,5,[],,0.0,0,0,61,12,0,0,0,0.0,0.0,90.0,0.0,0,5.74707
-725,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1153,27,13,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2022-12-14,2022-07-11,2021-03-28,90,12.79080824088748,6,3,5,"['avatarify', 'googlex', 'irtsaint-exupéry']",,0.04,4,1,21,5,0,0,0,4.0,10.0,90.0,2.5,2,24.3071
-862,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1151,315,43,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2022-12-17,2022-11-30,2014-09-13,431,2.6687644915534947,98,1,5,['quantstack'],,3.96,67,24,101,2,7,3,7,67.0,135.0,90.0,2.0,74,48.72421
-636,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1148,484,27,"['python', 'syntax-highlighting']",Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2022-12-18,2022-12-15,2019-08-31,172,6.66334991708126,757,3,5,"['amd', 'fzjülich', 'google']",,7.58,133,67,40,0,5,17,5,133.0,184.0,90.0,1.4,7530,67.10478
-489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1145,333,55,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2022-12-18,2022-12-14,2012-08-03,541,2.1147757255936677,118,3,5,"['lasp/lasp/swxtrec', 'metoffice', 'ucar/unidata']",,1.4,46,26,126,0,4,4,4,46.0,135.0,90.0,2.9,284,56.97742
-194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1144,78,16,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2022-12-18,2022-11-27,2019-01-14,205,5.580487804878048,29,2,5,"['resurety', 'tractabletractableai']",,0.56,11,8,48,1,8,15,8,11.0,14.0,90.0,1.3,16,39.15951
-338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1142,69,14,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2022-12-18,2022-08-20,2021-10-27,59,19.124401913875598,8,1,5,['singaporeuniversityoftechnologyanddesign'],,0.27,13,3,14,4,0,0,0,13.0,65.0,90.0,5.0,0,22.95553
-16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1139,295,62,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2022-12-08,2022-11-17,2012-12-11,522,2.178415300546448,181,0,5,[],,0.15,18,5,122,1,0,5,5,18.0,26.0,90.0,1.4,2749,49.06214
-403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1134,95,24,"['async-await', 'trio', 'asyncio', 'curio']",Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2022-12-17,2022-12-14,2018-08-19,226,5.01452937460518,38,3,5,"['andrewjayichlabucsb', 'nextdaysolutionsoy', 'norisnetworkag']",,2.38,64,43,53,0,0,10,10,64.0,117.0,90.0,1.8,553,54.25376
-720,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1132,76,29,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2022-12-18,2022-12-16,2021-11-18,56,20.01010101010101,19,2,5,"['facebookairesearchfacebookresearch', 'metaai']",,4.25,107,84,13,0,5,7,5,107.0,64.0,90.0,0.6,0,34.4576
-802,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1125,402,35,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2022-12-18,2022-12-09,2019-05-07,188,5.9568835098335855,172,4,5,"['google', 'lightstep', 'microsoftcorporation', 'signoz.io']",,5.42,206,128,44,0,11,14,11,206.0,374.0,90.0,1.8,128,59.19414
-545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1119,178,27,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2022-12-13,2022-05-29,2018-11-29,211,5.288993923024983,21,2,5,"['borealisai', 'ecopiaai']",,0.31,3,1,49,7,0,0,0,3.0,1.0,90.0,0.3,2,23.4038
-618,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1102,186,54,[],Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2022-12-15,2022-12-14,2013-03-29,507,2.171734234234234,52,2,5,"['bruhinsoftware', 'fareharbor']",,4.33,38,28,118,0,2,10,2,38.0,63.0,90.0,1.7,232,51.7366
-396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1100,50,23,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'http-server', 'rest', 'web', 'framework']",Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2022-12-14,2022-12-14,2018-11-22,212,5.174731182795699,10,0,5,[],,0.6,17,12,50,0,6,7,6,17.0,39.0,90.0,2.3,30,35.53396
-726,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1094,21,17,[],C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2022-12-16,2022-08-31,2022-07-16,22,49.08974358974359,6,2,5,"['marcelpetrick.it', 'universityofcalgary']",,1.71,2,1,5,4,1,2,1,2.0,1.0,90.0,0.5,0,17.10565
-900,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,1090,123,16,"['machine-learning', 'automl', 'regression', 'classification']",Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2022-12-18,2022-09-28,2019-11-16,161,6.758193091231178,18,5,5,"['appliedmaterials', 'fiolabs-internal', 'pyupio', 'streamlit', 'wildlife-studios']",,0.6,24,5,38,3,1,4,1,24.0,22.0,90.0,0.9,3,33.21855
-448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1084,287,81,[],Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2022-12-18,2022-07-23,2013-02-19,512,2.113649025069638,77,3,5,"['centerforopengeographicalscience', 'geoda/asu', 'usgsastrogeology']",,0.65,2,2,120,5,5,3,5,2.0,6.0,90.0,3.0,1349,50.581
-656,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1082,69,40,[],Python,,httptools: Fast HTTP parser,magicstack,2022-12-13,2022-09-13,2016-04-25,347,3.118155619596542,13,2,5,"['edgedb', 'enix']",,0.12,3,1,81,3,2,2,2,3.0,6.0,90.0,2.0,245,38.21304
-798,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1079,153,31,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2022-12-18,2022-12-17,2009-12-10,679,1.587765398360311,68,4,5,"['3dhubs', 'equium-io', 'google', 'waltdisneyanimationstudios']",,2.25,29,22,159,0,0,3,3,29.0,56.0,90.0,1.9,170,54.09076
-771,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1074,79,30,[],C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2022-12-15,2022-12-15,2020-03-30,142,7.563380281690141,10,1,5,['google'],,5.65,35,23,33,0,0,11,11,35.0,195.0,90.0,5.6,29,45.11251
-417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1070,160,21,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2022-12-18,2022-11-30,2018-03-04,250,4.2775556824671614,106,3,5,"['amdi', 'datajanitor', 'springdiscovery']",,2.77,81,60,58,1,2,10,2,81.0,193.0,90.0,2.4,2,45.27839
-651,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1065,35,14,"['python', 'profiling', 'performance', 'debugging-tools']",C,,austin: Python frame stack sampler for CPython,p403n1x87,2022-12-18,2022-10-28,2018-09-20,221,4.806576402321083,7,3,5,"['datadog', 'madalgo', 'microsoft']",,2.02,28,24,52,2,6,6,6,28.0,44.0,90.0,1.6,29,39.6474
-512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1065,79,17,[],Python,,typeguard: Run-time type checker for Python,agronholm,2022-12-12,2022-10-11,2015-12-27,364,2.924676343664182,21,2,5,"['nextdaysolutionsoy', 'salesforce.org']",,0.35,10,4,85,2,0,6,6,10.0,6.0,90.0,0.6,265,40.9188
-626,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1060,264,93,[],Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2022-12-16,2022-10-18,2011-01-24,621,1.7069243156199678,93,3,5,"['astrazenecauk', 'enthought', 'iitbombay']",,1.19,44,25,145,2,0,3,3,44.0,82.0,90.0,1.9,119,50.21249
-627,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1059,210,43,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2022-12-17,2022-12-16,2015-12-15,365,2.8945724326434985,77,3,5,"['openmicroscopy', 'quansight-labs', 'weomesangerinstitute']",,3.62,207,115,85,0,12,11,12,207.0,692.0,90.0,3.3,75,57.87181
-619,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1056,116,35,[],Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2022-12-17,2022-12-13,2015-04-11,401,2.6315414738341047,40,2,5,"['neu.ro', 'pocketzworld']",,3.27,80,66,94,0,15,5,15,80.0,80.0,90.0,1.0,2129,56.86242
-239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1055,81,17,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2022-12-16,2022-12-10,2018-07-14,231,4.561457689932057,27,3,5,"['datasette', 'stanforduniversity', 'usatodaynetwork/glasseyemedia/homicidewatch']",,4.17,39,22,54,0,14,26,14,39.0,93.0,90.0,2.4,123,52.01717
-609,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1045,185,46,"['hacktoberfest', 'pytest', 'pytest-plugin']",Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2022-12-16,2022-12-13,2015-09-01,380,2.7438109527381846,86,4,5,"['esss', 'merlinux', 'nordsoftware', 'redhatinsights']",,1.25,56,37,89,0,0,8,8,56.0,128.0,90.0,2.3,1467,60.0196
-666,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,1038,85,39,"['evaluation', 'machine-learning']",Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2022-12-18,2022-12-13,2022-03-30,37,27.522727272727273,111,2,5,"['huggingface', 'huggingfaceaiinnova']",,8.37,117,82,9,0,8,11,8,117.0,290.0,90.0,2.5,644,55.06746
-191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1035,176,23,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2022-12-16,2022-11-18,2020-03-03,145,7.095984329089128,25,3,5,"['amazon', 'aws', 'kwai']",,0.1,16,8,34,1,0,1,1,16.0,20.0,90.0,1.2,0,31.0426
-817,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1033,94,29,[],Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2022-12-16,2022-12-13,2018-11-28,211,4.879217273954116,7,3,5,"['calculationconsulting', 'etalab', 'ozminerals']",,4.88,66,55,49,0,1,2,1,66.0,107.0,90.0,1.6,24,41.9066
-644,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1033,70,26,"['python', 'logging', 'logzero', 'logfiles']",Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2022-12-16,2021-03-17,2017-06-12,288,3.5868055555555554,12,3,5,"['canva', 'flashbots', 'pyupio']",,0.0,17,11,67,21,0,3,3,17.0,11.0,90.0,0.6,4,27.72223
-654,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1031,57,13,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2022-12-18,2022-11-25,2009-10-07,688,1.4969923252437254,28,4,5,"['dara.network', 'mongodb', 'nutanix', 'redhat']",,0.65,11,8,161,1,2,0,2,11.0,13.0,90.0,1.2,404,47.42103
-449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1029,90,35,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2022-12-14,2022-03-18,2016-06-29,337,3.046954314720812,5,2,5,"['quiltdata', 'udl-ai']",,0.31,3,1,79,9,2,3,2,3.0,4.0,90.0,1.3,18,28.11153
-580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1024,114,9,"['dataclasses', 'json', 'python']",Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2022-12-15,2022-08-14,2018-04-21,243,4.209042865531415,46,1,5,['quantenna'],,0.13,35,4,57,4,1,14,1,35.0,18.0,90.0,0.5,172,36.04185
-598,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,995,113,21,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2022-12-14,2021-03-15,2020-01-07,153,6.467038068709378,5,3,5,"['delltechnologies', 'litesgroup', 'nvidia']",,0.0,3,0,36,21,0,1,1,3.0,0.0,90.0,0.0,3,17.70687
-406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,994,82,10,[],Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2022-12-17,2022-07-24,2012-10-04,532,1.8664163090128756,29,2,5,"['ableton', 'finceptiv']",,0.12,5,1,124,5,0,2,2,5.0,8.0,90.0,1.6,71,37.74797
-728,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,987,258,64,[],Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2022-12-14,2022-07-28,2014-03-04,458,2.1509962640099625,42,1,5,['geospatialpython.com'],,0.92,4,1,107,5,3,2,3,4.0,2.0,90.0,0.5,107,36.17278
-444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,983,190,49,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2022-12-18,2022-12-13,2011-12-31,572,1.717673489765352,64,2,5,"['gnsscience', 'planetlabs']",,1.4,58,42,134,0,6,10,6,58.0,109.0,90.0,1.9,115,52.10543
-739,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,975,40,20,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2022-12-15,2022-11-16,2019-02-09,201,4.843860894251242,10,2,5,"['flatiron-school', 'rstudio']",,3.5,46,34,47,1,15,9,15,46.0,39.0,90.0,0.8,3,37.41449
-447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,975,97,22,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2022-12-15,2022-12-18,2019-07-04,180,5.399525316455696,15,2,5,"['berkeleyairesearchlab', 'seniorresearcher']",,3.0,16,14,42,0,11,8,11,16.0,23.0,90.0,1.4,25,42.45559
-707,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,972,88,247,[],Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2022-12-17,2021-01-05,2018-01-31,254,3.8160403813796973,4,1,5,['bccentreforexcellenceinhiv/aids'],,0.0,0,0,59,24,0,0,0,0.0,0.0,90.0,0.0,0,9.9945
-614,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,961,68,17,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2022-12-17,2022-12-11,2013-06-25,494,1.9419745958429562,45,4,5,"['adobe', 'falcony-io', 'freelancer,upforhire', 'wolt']",,0.83,54,48,115,0,0,1,1,54.0,94.0,90.0,1.7,303,52.32141
-482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,949,276,50,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2022-12-13,2022-11-23,2018-05-31,237,3.994588093806374,49,4,5,"['eoresearchteamsinergise', 'google', 'sinergise', 'sinergisesentinel-hub']",,5.48,56,51,55,1,10,8,10,56.0,54.0,90.0,1.0,83,50.74665
-631,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,945,134,29,['python'],Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2022-12-17,2022-12-13,2013-05-11,501,1.885152465089769,31,2,5,"['datadog', 'pioneervalleybooks']",,2.85,56,49,117,0,0,2,2,59.0,37.0,90.0,0.6,399,49.1552
-740,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,936,99,18,"['scikit-learn', 'machine-learning', 'common-sense']",Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2022-12-14,2022-11-02,2019-01-21,204,4.588235294117647,56,3,5,"['explosion', 'm-gate', 'xcceleratedpydataamsterdam']",,0.48,28,17,48,2,5,8,5,28.0,77.0,90.0,2.8,19,44.04612
-633,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,936,219,28,"['cryptography', 'libsodium', 'nacl', 'python']",C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2022-12-11,2022-12-13,2013-02-22,512,1.8265960412601059,64,1,5,['datadog'],,0.48,9,7,120,0,0,2,2,9.0,14.0,90.0,1.6,169,45.61533
-271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,933,245,32,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2022-12-18,2022-10-26,2018-08-24,225,4.138783269961977,14,0,5,[],,0.29,5,2,53,2,0,5,5,5.0,5.0,90.0,1.0,180,32.46167
-820,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,930,201,21,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2022-12-15,2022-08-03,2018-09-21,221,4.2,29,2,5,"['facebook', 'facultyai']",,1.17,29,8,52,5,14,33,14,29.0,20.0,90.0,0.7,41,39.10263
-379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,924,81,16,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2022-12-18,2022-11-17,2020-05-27,133,6.910256410256411,7,4,5,"['dfki/universitätdessaarlandes', 'mavenoid;omnimodular', 'oraikatechnologies', 'quantcopy']",,0.98,17,5,31,1,4,5,4,17.0,22.0,90.0,1.3,11,35.70152
-212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,919,66,23,"['rust', 'python', 'database', 'sql', 'dataframe']",Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2022-12-18,2022-12-08,2021-01-13,100,9.12482269503546,29,2,5,"['redhatofficial', 'sfu-db']",,5.38,68,33,23,0,5,3,5,68.0,79.0,90.0,1.2,20,43.09998
-236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,918,192,44,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2022-12-18,2022-05-09,2020-07-02,128,7.14,8,2,5,"['apple', 'salesforceresearch']",,0.42,4,0,30,7,0,0,0,4.0,2.0,90.0,0.5,0,18.21195
-541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,911,136,8,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2022-12-18,2022-10-29,2019-01-02,206,4.407049067035246,58,1,5,['salesforce'],,0.1,15,10,48,2,0,12,12,15.0,13.0,90.0,0.9,183,41.90249
-251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,910,86,28,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2022-12-18,2022-12-02,2020-06-15,131,6.9465648854961835,23,1,5,['google'],,1.1,24,13,31,1,2,2,2,24.0,37.0,90.0,1.5,29,36.2382
-88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,909,179,28,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2022-12-15,2022-12-15,2017-11-01,267,3.395410885805763,56,3,5,"['atlassian', 'forgerock', 'zalando']",,1.38,34,25,62,0,0,37,37,34.0,34.0,90.0,1.0,38,49.70886
-387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,892,144,17,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2022-12-18,2022-07-08,2014-06-18,443,2.0103026400515134,46,1,5,['tessian'],,0.1,4,3,104,5,1,2,1,4.0,5.0,90.0,1.2,19,33.24374
-622,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,890,67,23,[],Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2022-12-06,2022-11-06,2014-04-04,454,1.958503615215341,20,4,5,"['coiled', 'formerlyquantopian', 'lynkertechnologies', 'voltrondata']",,0.52,10,6,106,1,1,2,1,10.0,6.0,90.0,0.6,28,39.05177
-504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,889,165,36,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2022-12-14,2022-12-16,2018-12-16,209,4.2506830601092895,29,2,5,"['dtn', 'universityofliverpool']",,2.29,35,20,49,0,5,3,5,35.0,55.0,90.0,1.6,25,44.08245
-672,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,888,21,83,[],,,faster-cpython: How to make CPython faster.,markshannon,2022-12-18,2020-10-28,2020-10-19,113,7.8584070796460175,4,2,5,"['colgateuniversity', 'microsoft']",,0.0,3,0,26,26,0,0,0,3.0,2.0,90.0,0.7,0,13.04516
-402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,886,40,14,"['python', 'async', 'asyncio', 'trio', 'anyio']",Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2022-12-18,2022-12-16,2022-01-04,49,17.770773638968482,10,1,5,"['snok,intility']",,1.69,30,26,12,0,2,2,2,30.0,38.0,90.0,1.3,0,28.14501
-630,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,881,256,31,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2022-12-14,2022-12-15,2016-02-09,357,2.46187624750499,132,4,5,"['deutscherwetterdienst', 'dwd', 'smhi', 'spacescienceandengineeringcenter(ssec)']",,21.56,174,107,83,0,6,12,6,174.0,595.0,90.0,3.4,12,58.74132
-219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,873,85,6,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2022-12-18,2022-05-18,2020-04-15,139,6.248466257668712,13,0,5,[],,0.02,111,71,33,7,0,8,8,111.0,73.0,90.0,0.7,18,28.5387
-750,data,https://github.com/pytorch/data,,,,pytorch/data,data,870,102,25,[],Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2022-12-17,2022-12-16,2021-05-12,83,10.392491467576791,60,2,5,"['facebook', 'quansight']",,6.5,194,146,20,0,5,7,5,194.0,491.0,90.0,2.5,1663,56.54724
-341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,867,67,24,"['terminal', 'curses', 'cli']",Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2022-12-14,2022-09-27,2014-03-01,459,1.8877138413685848,24,2,5,"['dalibo', 'mozilla']",,0.1,7,2,107,3,1,6,1,7.0,10.0,90.0,1.4,11,34.1321
-392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,858,93,31,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2022-12-18,2022-09-27,2019-05-29,185,4.62,4,3,5,"['8080labs', 'bamboolib', 'databricks']",,0.21,0,0,43,3,0,0,0,0.0,0.0,90.0,0.0,8,21.39437
-204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,856,29,16,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2022-12-17,2022-12-05,2019-05-13,188,4.553191489361702,22,1,5,['google'],,0.15,6,2,44,0,0,1,1,6.0,15.0,90.0,2.5,5,33.50711
-700,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,854,136,28,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2022-12-18,2022-12-18,2018-08-07,227,3.747962382445141,62,2,5,"['intel', 'intelcorporation']",,1.63,118,82,53,0,3,5,3,118.0,80.0,90.0,0.7,0,39.34588
-772,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,850,74,15,"['few-shot-learning', 'nlp', 'sentence-transformers']",Python,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2022-12-18,2022-12-17,2022-06-30,24,34.593023255813954,29,3,5,"['huggingface', 'nervanasystems', 'telekom']",,5.46,187,132,6,0,7,18,7,187.0,415.0,90.0,2.2,2,41.75848
-347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,847,67,27,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2022-12-12,2022-11-08,2021-03-16,91,9.220839813374806,11,4,5,"['norwegiancomputingcentre', 'palinode', 'universityofoslo', 'universityofthebasquecountryupv/ehu']",,0.46,7,5,21,1,1,1,1,7.0,5.0,90.0,0.7,13,32.18198
-628,data,https://github.com/intake/intake,,,,intake/intake,intake,844,125,41,"['python', 'data-access', 'data-catalog']",Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2022-12-12,2022-12-02,2017-08-14,279,3.025089605734767,79,3,5,"['anaconda', 'azavea', 'brookhavennationallab']",,0.98,22,14,65,1,0,7,7,22.0,41.0,90.0,1.9,392,51.62392
-484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,836,225,59,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2022-12-15,2022-11-03,2015-05-22,395,2.1141618497109826,42,3,5,"['deloitte', 'developmentseed', 'milremrobotics']",,0.15,9,4,92,2,1,3,1,9.0,45.0,90.0,5.0,7,41.12421
-697,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,834,250,24,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2022-12-17,2022-12-18,2014-12-02,419,1.986389928547125,43,3,5,"['newyorkuniversity', 'princetonuniversity', 'universityofalberta']",,1.44,28,24,98,0,11,7,11,28.0,68.0,90.0,2.4,3,46.70889
-639,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,833,236,40,['hacktoberfest'],Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2022-12-15,2022-10-19,2017-06-15,287,2.8966716343765526,76,3,5,"['coiled', 'microsoft', 'voltrondata']",,0.21,22,3,67,2,2,7,2,22.0,28.0,90.0,1.3,68,42.99187
-445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,828,189,30,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2022-12-16,2022-12-16,2014-12-29,416,1.9903846153846154,58,1,5,['corteva'],,2.6,56,40,97,0,7,8,7,56.0,144.0,90.0,2.6,523,53.82472
-468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,825,105,39,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2022-12-17,2022-12-16,2021-07-20,73,11.170212765957446,37,1,5,['huggingface'],,6.21,260,187,17,0,12,12,12,260.0,642.0,90.0,2.5,679,52.95176
-887,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,823,439,75,[],Python,,pyscf: Python module for quantum chemistry,pyscf,2022-12-17,2022-12-14,2014-05-02,450,1.8271487472248653,137,2,5,"['simuneatomisticss.l.', 'theohiostateuniversity']",,5.52,148,70,105,0,2,8,2,148.0,217.0,90.0,1.5,660,57.52678
-712,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,820,138,20,[],Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2022-12-18,2022-11-05,2021-05-12,83,9.795221843003413,11,1,5,['johnshopkinsuniversity'],,0.83,24,6,20,1,0,0,0,24.0,44.0,90.0,1.8,3,27.48424
-850,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,795,95,22,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2022-12-18,2022-12-08,2012-02-20,565,1.407079646017699,42,1,5,['cslab'],,1.13,14,11,132,0,4,9,4,14.0,45.0,90.0,3.2,381,50.05229
-395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,794,63,30,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",Python,,emmett: The web framework for inventors,emmett-framework,2022-12-10,2022-11-24,2014-10-20,426,1.863849765258216,21,3,5,"['cashbee-team', 'lawstudent', 'ostrovok.ru']",,1.83,8,5,99,1,14,14,14,8.0,0.0,90.0,0.0,12,38.89607
-490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,788,149,47,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2022-12-17,2022-11-14,2010-01-31,672,1.1723698193411265,32,2,5,"['fudanuniversity', 'theexclosure']",,0.15,3,0,157,1,1,4,1,3.0,5.0,90.0,1.7,52,38.87971
-891,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,788,11,6,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2022-12-18,2022-12-18,2022-10-07,10,75.56164383561644,1,0,5,[],,1.48,14,8,2,0,0,79,79,14.0,80.0,90.0,5.7,0,23.49765
-226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,785,80,38,[],Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2022-12-12,2022-12-02,2020-11-02,111,7.072072072072072,43,1,5,['facebookairesearch'],,9.77,41,27,26,1,0,0,0,41.0,86.0,90.0,2.1,108,42.38209
-351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,771,39,21,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2022-12-18,2022-12-15,2021-08-11,70,10.903030303030302,32,2,5,"['jina-ai', 'jinaai']",,4.73,99,89,16,0,12,24,12,99.0,117.0,90.0,1.2,0,39.18383
-738,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,766,9,3,"['python', 'pointers', 'python-pointers']",Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2022-12-08,2022-11-30,2022-03-09,40,18.814035087719297,7,1,5,['royalbankofcanada'],,3.21,3,3,9,1,6,8,6,3.0,3.0,90.0,1.0,2,25.84015
-810,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,759,167,99,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2022-12-18,2022-12-16,2015-05-05,397,1.9077199281867145,41,2,5,"['elastic', 'neo4j']",,2.94,80,75,93,0,17,14,17,80.0,48.0,90.0,0.6,74,50.11615
-146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,752,225,38,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2022-12-17,2022-12-12,2013-02-11,514,1.4630350194552528,65,3,5,"['cern', 'protonmail', 'skribble']",,1.52,66,36,120,0,0,42,42,66.0,44.0,90.0,0.7,150,54.24208
-658,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,750,83,13,"['python', 'magic-extension', 'jupyter', 'ipython']",Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2022-12-18,2022-09-13,2014-07-30,437,1.7134464751958225,17,4,5,"['brabantwater', 'capgeminiengineering', 'drivendata', 'lightning-ai,universityofwisconsin-madison']",,0.12,2,0,102,3,2,2,2,2.0,3.0,90.0,1.5,94,38.81583
-334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,750,50,28,"['python', 'monkey-patching']",Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2022-12-15,2022-03-12,2013-04-03,506,1.480124048491683,15,2,5,"['bitdeli', 'django,djangolondon']",,0.0,3,1,118,14,0,1,1,3.0,1.0,90.0,0.3,0,21.91652
-791,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,733,179,21,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2022-12-16,2022-12-05,2013-10-02,480,1.52481426448737,17,3,5,"['blksail', 'google', 'skamrahlitsolutions']",,1.02,7,7,112,0,2,3,2,7.0,18.0,90.0,2.6,22,43.4709
-634,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,733,41,13,"['profiling', 'python', 'heatmap', 'matplotlib']",Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2022-12-16,2021-09-18,2017-02-04,306,2.393190298507463,5,2,5,"['citrix', 'lyft']",,0.0,0,0,71,15,0,0,0,0.0,0.0,90.0,0.0,0,14.02954
-853,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,732,158,33,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2022-12-18,2022-12-13,2017-05-14,292,2.5056234718826405,7,3,5,"['github', 'pyupio', 'themediasupermarket']",,2.17,19,16,68,0,0,6,6,19.0,32.0,90.0,1.7,71,44.27913
-828,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,725,87,11,[],Python,https://gymnasium.farama.org,Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym),farama-foundation,2022-12-18,2022-12-18,2022-09-08,14,49.754901960784316,395,0,5,[],,8.46,208,170,3,0,5,20,5,208.0,322.0,90.0,1.5,4,40.96329
-291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,719,36,21,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",Python,https://hamilton-docs.gitbook.io/docs/,"hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc.",stitchfix,2022-12-17,2022-12-18,2020-05-26,133,5.371398078975454,14,2,5,"['spothero', 'stitchfix']",,5.1,83,41,31,0,10,5,10,83.0,122.0,90.0,1.5,4,41.14727
-621,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,713,94,18,[],Python,,Parameterized testing with any Python test framework,wolever,2022-12-16,2021-01-09,2012-03-10,562,1.2680386178861789,24,1,5,['sheertex'],,0.0,3,1,131,24,0,1,1,3.0,4.0,90.0,1.3,89,30.43729
-559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,711,58,16,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.,vizzuhq,2022-12-18,2022-12-16,2022-01-05,49,14.301724137931034,10,2,5,"['oneidentity(balabit)', 'vizzuhq']",,9.17,22,13,12,0,18,18,18,22.0,16.0,90.0,0.7,11,38.20662
-358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,711,40,42,"['data-documentation', 'data-catalog', 'data-discovery']",Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2022-12-18,2022-10-13,2020-05-27,133,5.3173076923076925,17,3,5,"['dataframe', 'nttcommunications', 'shopify']",,0.17,6,3,31,2,0,10,10,6.0,3.0,90.0,0.5,0,29.16195
-419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,709,40,14,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2022-12-15,2022-09-01,2012-05-03,554,1.2784647089129315,20,4,5,"['dapulse', 'nordsoftware', 'pioneervalleybooks', 'siasol']",,0.37,3,1,129,4,0,6,6,3.0,3.0,90.0,1.0,178,41.81119
-23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,707,148,40,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2022-12-17,2022-11-07,2011-12-07,575,1.2280397022332505,47,2,5,"['inria&institutdemathématiquesdebordeaux', 'quansight']",,0.27,9,3,134,1,0,1,1,9.0,7.0,90.0,0.8,75,40.59987
-593,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,703,396,60,"['gis', 'maps', 'plots']",Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2022-12-12,2022-11-29,2011-02-19,617,1.1388567461235826,69,2,5,"['eccc', 'germanaerospacecenter(dlr)']",,3.77,24,19,144,1,7,3,7,24.0,40.0,90.0,1.7,606,53.56031
-701,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,700,21,9,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2022-12-17,2022-12-05,2020-06-18,130,5.361050328227571,6,3,5,"['algolia', 'hyphenatedenterprises', 'whalesalad']",,3.08,61,46,30,0,14,25,14,61.0,58.0,90.0,1.0,6,39.76851
-325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,696,44,19,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2022-12-17,2022-12-15,2021-09-02,67,10.300211416490486,18,3,5,"['digitalr00ts', 'google', 'trailofbits']",,3.63,77,64,16,0,22,30,22,77.0,183.0,90.0,2.4,95,49.36054
-477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,688,78,24,"['holoviz', 'holoviews', 'plotting', 'datashader']",Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2022-12-17,2022-12-13,2018-03-19,248,2.774193548387097,39,2,5,"['anaconda', 'azavea']",,2.21,269,74,58,0,3,22,3,269.0,239.0,90.0,0.9,10,43.91498
-360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,686,144,48,[],Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2022-12-14,2022-12-16,2018-07-02,233,2.944206008583691,25,1,5,['google'],,2.98,19,13,54,0,7,9,7,19.0,26.0,90.0,1.4,572,47.28929
-168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,684,94,35,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2022-12-08,2021-02-01,2016-06-23,338,2.020253164556962,6,4,5,"['github', 'maxar', 'msupoliticalscience', 'phillymedia']",,0.0,2,0,79,23,0,1,1,2.0,2.0,90.0,1.0,4,24.04831
-572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,681,155,125,[],Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2022-12-07,2018-07-30,2014-08-01,437,1.5568256041802744,24,4,5,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'element84', 'ledgy']",,0.0,0,0,102,53,0,2,2,0.0,0.0,90.0,0.0,11,24.78902
-393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,673,78,28,"['benchmark', 'python-frameworks']",Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2022-12-11,2022-03-14,2015-04-30,398,1.6885304659498208,10,2,5,"['get-post-technology', 'home']",,0.44,17,10,93,9,0,3,3,17.0,9.0,90.0,0.5,0,25.97893
-164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,662,50,25,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2022-12-09,2022-05-27,2019-01-31,202,3.2679830747531735,7,3,5,"['founderexplosion', 'graphext', 'lt3kuleuven']",,0.06,0,0,47,7,1,4,1,0.0,0.0,90.0,0.0,0,18.27777
-483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,655,213,48,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2022-12-11,2022-10-06,2017-05-17,291,2.2453476983349656,40,3,5,"['eoresearchteamsinergise', 'google', 'sinergise']",,3.83,29,27,68,2,12,9,12,29.0,18.0,90.0,0.6,335,49.08687
-818,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,654,44,15,[],Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2022-12-18,2022-12-09,2022-07-01,24,26.771929824561404,6,1,5,['automl.org'],,2.31,23,22,6,0,0,0,0,23.0,45.0,90.0,2.0,0,24.61015
-620,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,646,36,7,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2022-12-15,2022-12-11,2020-07-11,127,5.075196408529742,22,1,5,['quansight'],,1.19,36,31,30,0,0,33,33,36.0,56.0,90.0,1.6,674,48.32703
-629,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,645,73,25,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2022-12-16,2022-06-22,2020-02-08,149,4.320574162679426,28,2,5,"['anaconda', 'makepath']",,1.52,82,14,35,6,5,13,5,82.0,11.0,90.0,0.1,12,33.40695
-882,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,643,60,13,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2022-12-17,2022-12-13,2019-11-26,159,4.022341376228776,1,0,5,[],,3.35,5,4,37,0,6,12,6,5.0,14.0,90.0,2.8,5,28.04128
-475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,636,114,35,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2022-12-16,2022-12-07,2017-09-22,273,2.3260188087774294,21,2,5,"['anaconda', 'azavea']",,0.46,18,8,64,0,0,13,13,18.0,54.0,90.0,3.0,2,40.92725
-741,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,635,51,13,"['scikit-learn', 'machine-learning', 'benchmark']",Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2022-12-18,2021-10-05,2020-07-11,127,4.988776655443322,5,3,5,"['explosion', 'floryn', 'nttdatabusinesssolutions']",,0.0,0,0,30,15,0,0,0,0.0,0.0,90.0,0.0,0,13.37378
-344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,632,64,17,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2022-12-17,2022-12-16,2019-08-14,174,3.617334423548651,35,2,5,"['princeton,iris-hep,pyhep,scikit-hep', 'purdueuniversity']",,10.04,362,309,41,0,42,61,42,362.0,923.0,90.0,2.5,26,53.68855
-637,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,631,31,8,"['python-devtools', 'python', 'devtools']",Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2022-12-15,2022-11-28,2017-08-20,278,2.268618387262455,10,2,5,"['pydantic', 'pyupio']",,0.29,10,4,65,1,2,3,2,10.0,20.0,90.0,2.0,85,38.40232
-640,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,624,161,18,['hacktoberfest'],Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2022-12-13,2022-12-05,2015-11-06,371,1.68,86,4,5,"['anaconda', 'coiled', 'confluentinc', 'steminc']",,1.06,31,25,87,0,0,5,5,31.0,104.0,90.0,3.4,75,54.34131
-397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,621,25,31,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2022-10-28,2022-08-12,2015-02-03,410,1.5114742698191934,13,2,5,"['faceapp', 'home']",,0.15,0,0,96,4,0,42,42,0.0,0.0,90.0,0.0,14,30.93081
-849,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,621,208,21,['hacktoberfest'],Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2022-12-15,2022-12-12,2016-03-16,352,1.7606318347509113,108,5,5,"['anaconda', 'coiled', 'fal-ai', 'microsoft', 'voltrondata']",,0.88,30,17,82,0,0,8,8,30.0,77.0,90.0,2.6,58,54.7017
-760,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,614,187,54,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2022-12-18,2021-10-14,2019-02-28,198,3.0920863309352518,8,1,5,['google'],,0.0,1,1,46,14,0,0,0,1.0,2.0,90.0,2.0,6,21.38058
-18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,613,102,18,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2022-12-16,2022-08-23,2020-06-23,129,4.720572057205721,12,2,5,"['explosion', 'founderexplosion']",,0.56,1,0,30,4,2,4,2,1.0,1.0,90.0,1.0,0,23.08956
-839,util,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,610,57,21,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2022-12-18,2022-12-18,2021-09-14,65,9.262472885032539,4,2,5,"['fireblocks', ""scott'sdevelopment""]",,0.5,21,17,15,0,0,0,0,21.0,45.0,90.0,2.1,0,26.25988
-595,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,601,113,34,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2022-12-18,2022-11-24,2018-06-12,235,2.548152634766808,16,3,5,"['alantech', 'softwareengineer,uber', 'unfoldedinc']",,0.52,22,14,55,1,4,5,4,22.0,50.0,90.0,2.3,149,44.47441
-680,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,588,76,16,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2022-12-12,2022-09-12,2015-11-25,368,1.5947307245253777,13,0,5,[],,0.08,3,0,86,3,0,3,3,3.0,4.0,90.0,1.3,383,32.61201
-796,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,582,109,13,"['network-visualization', 'python', 'networkx']",HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2022-12-17,2022-11-04,2018-05-10,240,2.4192399049881237,31,2,5,"['westhealth', 'westhealthinstitute']",,0.58,37,12,56,1,3,1,3,37.0,28.0,90.0,0.8,24,38.9846
-505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,573,130,29,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2022-12-16,2022-06-13,2019-04-30,189,3.018058690744921,21,2,5,"['argonnenationallaboratory', 'isti-cnr']",,1.67,10,1,44,6,2,2,2,10.0,3.0,90.0,0.3,20,30.83403
-117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,573,93,37,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2022-11-27,2021-01-31,2019-03-25,195,2.9384615384615387,8,1,5,['theincorporatedcounciloflawreportingforenglandandwales'],,0.0,0,0,45,23,0,0,0,0.0,0.0,90.0,0.0,0,11.0666
-831,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,570,82,15,"['attrs', 'deserialization', 'serialization']",Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2022-12-16,2022-12-09,2016-08-28,329,1.7317708333333333,44,2,5,"['google', 'pocketzworld']",,2.77,33,18,77,0,0,4,4,33.0,90.0,90.0,2.7,73,49.46393
-752,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,569,44,13,[],Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2022-12-17,2022-10-30,2022-09-04,15,37.575471698113205,2,1,5,['stanford'],,0.44,3,2,4,2,0,0,0,3.0,1.0,90.0,0.3,0,11.13917
-808,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,569,51,11,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate']",Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2022-12-18,2022-12-17,2020-10-05,115,4.947826086956522,12,3,5,"['fyndiq', 'gazprom-media', 'infosec']",,1.06,26,21,27,0,13,10,13,26.0,63.0,90.0,2.4,0,37.6061
-690,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,568,152,16,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2022-12-16,2022-12-14,2017-03-15,300,1.8888361045130642,81,3,5,"['lymaconsulting', 'onapsis', 'sncfconnect&techvoyages-sncf-technologies']",,5.46,87,69,70,0,9,6,9,87.0,296.0,90.0,3.4,0,49.03168
-889,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,562,209,47,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2022-12-17,2022-12-15,2019-05-17,187,2.9984756097560976,93,3,5,"['czechtechnicaluniversityinprague', 'mundialis', 'ncsu']",,6.92,198,117,44,0,15,37,15,198.0,394.0,90.0,2.0,187,58.16453
-167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,557,153,49,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2022-12-16,2022-08-10,2017-09-30,272,2.045645330535152,8,1,5,['bommaritoconsulting'],,0.06,5,0,64,4,0,0,0,5.0,2.0,90.0,0.4,17,23.70983
-567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,551,108,32,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2022-12-13,2022-05-24,2014-09-28,429,1.2839547270306257,1,1,5,['universityofsoutherncalifornia'],,0.13,0,0,100,7,0,1,1,0.0,0.0,90.0,0.0,0,12.98118
-259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,548,132,48,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2022-12-14,2022-12-08,2018-01-23,255,2.141820212171971,8,1,5,['capitalone'],,0.06,2,2,60,0,0,0,0,2.0,0.0,90.0,0.0,0,21.17183
-235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,547,105,18,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2022-12-17,2022-07-08,2021-08-16,70,7.814285714285714,3,1,5,['salesforceresearch'],,0.1,10,3,16,5,0,0,0,10.0,4.0,90.0,0.4,0,13.98874
-874,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,529,335,33,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",Python,https://ipython.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2022-12-15,2022-12-14,2015-04-09,401,1.3173247954464604,161,4,5,"['amazonwebservices', 'mongodb', 'quansight-labs', 'simularesearchlaboratory']",,4.9,77,59,94,0,29,14,29,77.0,132.0,90.0,1.7,1683,65.39877
-160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,528,63,10,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2022-12-18,2021-02-11,2017-06-11,288,1.8324243926623698,6,2,5,"['explosion', 'gerulatatechnologies']",,0.0,2,0,67,22,0,3,3,2.0,3.0,90.0,1.5,5,23.75867
-625,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,527,259,44,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2022-12-14,2022-12-16,2012-08-06,541,0.9741219963031423,99,1,5,['metoffice'],,6.63,257,160,126,0,10,7,10,257.0,387.0,90.0,1.5,46,53.76344
-516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,521,60,15,[],Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2022-12-15,2022-08-18,2022-03-03,41,12.532646048109966,1,1,5,['kakaobrain'],,0.08,3,2,10,4,0,0,0,3.0,4.0,90.0,1.3,0,12.6312
-685,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,520,39,22,[],Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2022-12-17,2022-12-09,2021-06-28,77,6.753246753246753,2,1,5,['nvidia'],,0.23,18,14,18,0,7,6,7,18.0,27.0,90.0,1.5,3,28.00019
-576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,520,226,21,[],Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2022-12-18,2022-12-12,2018-04-23,243,2.139917695473251,165,5,5,"['abcellerabiologics', 'anaconda', 'fal-ai', 'microsoft', 'nvidia']",,2.67,118,84,57,0,0,14,14,118.0,314.0,90.0,2.7,209,61.42906
-665,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,518,148,36,[],Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2022-11-30,2020-05-01,2020-01-20,152,3.4078947368421053,1,1,5,"['lightning-ai,universityofwisconsin-madison']",,0.0,2,1,35,32,0,0,0,2.0,1.0,90.0,0.5,6,11.97613
-306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,516,142,31,[],Python,,panoramix: Ethereum decompiler,palkeo,2022-12-15,2020-08-22,2020-02-17,148,3.4864864864864864,4,2,5,"['ethereum', 'eveem.org']",,0.0,5,2,34,28,0,1,1,5.0,4.0,90.0,0.8,0,16.02489
-525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,515,123,30,[],Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2022-12-07,2022-12-12,2011-06-19,600,0.858129016900738,39,4,5,"['hobu', 'planetlabs', 'universityofillinoisaturbana-champaign', 'universityofutah']",,0.75,11,10,140,0,2,1,2,11.0,26.0,90.0,2.4,25,47.17232
-883,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,514,92,16,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2022-12-14,2022-08-16,2020-02-15,148,3.466281310211946,6,1,5,['o9solutions'],,0.27,8,3,35,4,0,1,1,8.0,12.0,90.0,1.5,26,27.53577
-589,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,510,84,9,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2022-12-17,2022-12-16,2019-05-09,188,2.7045454545454546,38,2,5,"['kedro-org,quantumblacklabs', 'medshr']",,4.83,149,116,44,0,12,14,12,149.0,204.0,90.0,1.4,2,44.86311
-413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,507,85,17,[],Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2022-12-17,2022-09-27,2013-08-27,485,1.0435166127609528,28,2,5,"['quantco', 'self']",,0.37,30,13,113,3,6,2,6,30.0,99.0,90.0,3.3,0,37.30259
-359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,502,114,27,[],C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2022-12-16,2022-12-12,2019-01-15,204,2.4504881450488143,15,0,5,[],,0.56,4,2,48,0,7,9,7,4.0,28.0,90.0,7.0,20,37.8279
-671,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,494,26,26,[],Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2022-12-14,2022-08-09,2022-06-03,28,17.376884422110553,1,0,5,[],,0.1,0,0,7,4,3,5,3,0.0,0.0,90.0,0.0,0,5.70434
-241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,487,57,17,[],Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2022-12-15,2022-03-27,2021-07-10,75,6.468690702087287,2,1,5,['microsoft'],,0.04,2,0,18,9,0,0,0,2.0,1.0,90.0,0.5,2,12.52614
-673,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,485,9,9,[],Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2022-12-18,2022-12-15,2022-06-01,28,16.890547263681594,2,2,5,"['christianclauss', 'microsoft']",,1.0,3,1,7,0,10,17,10,3.0,11.0,90.0,3.7,0,26.98899
-797,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,485,52,14,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2022-12-18,2022-12-17,2022-04-29,33,14.508547008547009,6,1,5,['cityuniversityofhongkong'],,4.02,16,13,8,0,15,24,15,16.0,24.0,90.0,1.5,5,32.74247
-216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,481,63,9,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2022-12-17,2022-12-16,2020-01-13,153,3.1437908496732025,26,3,5,"['itmouniversity', 'mail.rugroup', 'wiredhut']",,5.02,175,137,36,0,4,3,4,175.0,167.0,90.0,1.0,0,40.60863
-794,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,480,195,23,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2022-12-17,2022-12-18,2018-09-28,220,2.1775761503564484,14,5,5,"['sacramentostate', 'unswsydney', 'usaceerdc-fieldresearchfacility', 'waterresearchlaboratory', 'waterresearchlaboratory(unsw)']",,1.4,53,36,51,0,3,3,3,53.0,109.0,90.0,2.1,17,45.16199
-47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,478,84,15,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2022-12-18,2022-12-16,2017-06-06,288,1.6547972304648864,13,2,5,"['automattic', 'kaizentech']",,1.0,21,15,67,0,3,5,3,21.0,10.0,90.0,0.5,27,38.43106
-487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,467,60,21,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2022-12-14,2022-12-09,2018-04-25,242,1.924072984108299,13,4,5,"['fatiando', 'fatiandoubcgifcompgeolabgeolatinas', 'spacescienceandengineeringcenter(ssec)', 'universityofliverpool']",,0.56,29,26,57,0,1,3,1,29.0,21.0,90.0,0.7,15,38.99012
-211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,464,88,21,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2022-12-17,2021-12-18,2020-01-28,150,3.0757575757575757,5,2,5,"['alanturinginstitute,firmai', 'ddosify']",,0.0,3,1,35,12,0,0,0,3.0,1.0,90.0,0.3,12,19.98707
-329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,459,61,17,[],Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2022-12-10,2022-07-26,2021-10-21,60,7.577830188679245,3,1,5,"['samsung-saitailab,montreal']",,0.29,1,0,14,5,0,0,0,1.0,3.0,90.0,3.0,0,16.27288
-497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,448,86,13,[],Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2022-12-12,2020-12-10,2019-05-22,186,2.399387911247131,3,1,5,['kentech'],,0.0,3,0,44,25,0,0,0,3.0,1.0,90.0,0.3,2,12.6167
-437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,datatile,447,40,13,"['pandas', 'pandas-summary', 'dataframes', 'data-analysis', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-summary', 'data-reporting', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-monitoring', 'data-quality-checks']",Python,,"datatile: A library for managing, validating, summarizing, and visualizing data",polyaxon,2022-12-17,2022-12-16,2016-03-25,351,1.2719512195121951,10,2,5,"['hospiq', 'sidhulabs']",,0.48,0,0,82,0,0,0,0,0.0,0.0,90.0,0.0,0,23.52189
-375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,445,52,11,[],Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2022-12-17,2021-11-06,2019-07-25,177,2.50603378921963,6,2,5,"['harvardmedicalschool', 'sap']",,0.0,2,0,41,14,0,4,4,2.0,0.0,90.0,0.0,0,16.92271
-479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,442,67,30,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2022-12-12,2022-12-07,2016-04-19,347,1.2706365503080082,28,1,5,['anaconda'],,0.69,19,11,81,0,3,10,3,19.0,20.0,90.0,1.1,10,38.1139
-872,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,437,12,6,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2022-12-17,2022-12-16,2022-04-25,34,12.852941176470589,5,3,5,"['eventual-inc', 'freenome', 'lyft']",,9.44,199,173,8,0,0,27,27,199.0,41.0,90.0,0.2,7,38.74243
-742,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,436,49,13,"['nlp', 'embeddings', 'visualisations']",Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2022-12-13,2022-07-28,2020-02-22,147,2.9602327837051408,13,4,5,"['explosion', 'kpmgnetherlands', 'motain', 'zalandose']",,0.27,1,1,34,5,1,9,1,1.0,2.0,90.0,2.0,0,26.77627
-573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,436,113,50,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2022-12-14,2020-11-19,2018-01-10,257,1.6917960088691797,15,4,5,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'planetlabs', 'regrow']",,0.0,2,1,60,25,0,3,3,2.0,1.0,90.0,0.5,9,27.20848
-582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,436,99,18,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2022-12-18,2022-12-17,2019-06-28,181,2.4031496062992126,28,4,5,"['developmentseed', 'ozminerals', 'satellogic', 'terradue']",,2.0,31,26,42,0,0,15,15,31.0,39.0,90.0,1.3,13,46.18049
-837,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,434,108,33,[],Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2022-12-07,2022-10-18,2013-09-18,482,0.8990825688073395,30,4,5,"['aiddata', 'ouranos', 'satellogic', 'southernmethodistuniversity']",,0.12,9,2,113,2,1,2,1,9.0,12.0,90.0,1.3,50,40.66959
-844,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,433,41,9,"['multiprocessing-library', 'python']",Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2022-12-13,2022-09-15,2015-12-25,364,1.1881615052920422,16,4,5,"['inria', 'inriasaclay-parietalteam', 'scikit-learninriafoundation', 'ucl']",,1.0,6,2,85,3,0,5,5,6.0,2.0,90.0,0.3,59,38.18507
-863,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,431,78,43,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2022-12-14,2022-12-16,2018-01-15,257,1.6770428015564203,70,2,5,"['astronomer', 'cerebral']",,8.96,113,109,60,0,29,69,29,112.0,78.0,90.0,0.7,133,54.59785
-292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,421,45,8,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2022-12-17,2022-09-27,2020-11-21,108,3.887862796833773,16,4,5,"['fastai', 'github', 'huggingface', 'streamlit']",,1.17,10,3,25,3,6,9,6,10.0,7.0,90.0,0.7,21,35.5147
-481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,418,124,78,[],Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2022-12-08,2020-05-11,2013-08-15,487,0.8573102842074422,20,5,5,"['applemontechnologies', 'google', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'urbansim']",,0.0,0,0,114,32,0,1,1,0.0,0.0,90.0,0.0,40,28.15977
-188,math,https://github.com/dit/dit,,,,dit/dit,dit,417,77,24,"['python', 'information-theory']",Python,http://docs.dit.io,dit: Python package for information theory.,dit,2022-12-13,2022-07-25,2013-09-29,481,0.8666864608076009,20,1,5,['google'],,0.92,4,0,112,5,1,3,1,4.0,7.0,90.0,1.8,269,36.87955
-486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,412,149,22,"['spatial-data', 'raster', 'vector', 'python', 'education']",Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2022-12-17,2021-12-20,2018-02-20,251,1.6358479863868407,41,4,5,"['hydrosat', 'nvidia', 'pyupio', 'silviaterra']",,0.0,28,21,59,12,0,7,7,28.0,43.0,90.0,1.5,60,41.4043
-705,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,406,18,9,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2022-12-13,2022-07-04,2020-11-17,108,3.729658792650919,4,2,5,"['bodywork-mllloydsbankinggroup', 'bodyworkmachinelearning']",,2.73,0,0,25,6,0,29,29,0.0,0.0,90.0,0.0,8,25.11896
-472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,405,25,11,[],Python,,google-research/byt5,google-research,2022-12-11,2022-03-02,2021-05-26,81,4.956293706293707,2,0,5,[],,0.04,1,0,19,10,0,0,0,1.0,0.0,90.0,0.0,0,5.047
-275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,397,60,16,[],Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2022-12-16,2022-12-01,2021-06-28,77,5.1558441558441555,6,2,5,"['py-world', 'tokenflowinsights']",,1.37,23,22,18,1,17,24,17,23.0,9.0,90.0,0.4,0,28.70451
-577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,393,50,10,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2022-12-16,2022-09-17,2015-04-09,401,0.9786552828175027,31,1,5,['mpsd&universityofsouthampton'],,0.21,5,1,94,3,0,2,2,5.0,2.0,90.0,0.4,44,33.0003
-722,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,389,45,10,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2022-12-18,2022-11-15,2013-10-16,478,0.8125932557445539,14,1,5,['getcujo'],,1.08,11,11,112,1,4,2,4,11.0,35.0,90.0,3.2,322,44.77938
-528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,386,79,27,"['multimodality', 'machine-learning', 'knowledge-base-construction']",Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2022-12-05,2021-06-23,2018-02-02,254,1.5171252105558675,14,2,5,"['https://snorkel.ai/', 'numbersstationai']",,0.0,0,0,59,18,0,6,6,0.0,0.0,90.0,0.0,23,24.8635
-841,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,383,17,6,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2022-12-16,2022-11-18,2022-10-22,8,46.224137931034484,1,0,5,[],,0.77,0,0,2,1,13,79,13,0.0,0.0,90.0,0.0,0,8.59194
-254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,383,84,18,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2022-12-17,2022-12-17,2020-08-12,122,3.121071012805588,25,2,5,"['amazon', 'amazonsearchandai']",,1.15,35,34,29,0,2,3,2,35.0,13.0,90.0,0.4,0,32.35651
-12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,379,146,53,"['python', 'machine-learning', 'dialogflow']",Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2022-12-09,2022-12-15,2017-10-24,268,1.4096705632306057,34,3,5,"['googleapis', 'googlecloud', 'mend']",,2.13,31,27,63,0,13,8,13,31.0,27.0,90.0,0.9,49,47.91162
-331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,370,20,8,"['recommender-system', 'machine-learning', 'qa-automation']",Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2022-12-13,2022-11-03,2021-11-08,58,6.379310344827586,7,2,5,"['digitalgreenorg', 'stanforduniversity']",,0.71,6,3,14,2,0,6,6,6.0,3.0,90.0,0.5,10,27.79074
-803,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,369,277,14,[],Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2022-12-16,2022-12-18,2019-11-08,162,2.271767810026385,167,4,5,"['lightstep', 'microsoftcorporation', 'signoz.io', 'splunk']",,5.38,246,164,38,0,11,11,11,246.0,335.0,90.0,1.4,35,56.10085
-492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,369,86,65,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2022-12-15,2022-12-16,2017-10-06,271,1.3594736842105264,21,3,5,"['amskepler', 'angloamerican', 'developmentseed']",,1.19,47,46,63,0,0,23,23,47.0,50.0,90.0,1.1,10,45.33027
-185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,366,51,10,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2022-12-16,2022-10-07,2020-08-17,122,3.0,3,1,5,['epfl'],,0.19,7,3,28,2,7,7,7,7.0,17.0,90.0,2.4,0,24.38965
-561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,366,66,14,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2022-11-22,2022-11-30,2016-09-08,327,1.1173135630178805,18,3,5,"['geogbristol', 'nordsoftware', 'ornl']",,0.08,7,1,76,1,0,1,1,7.0,6.0,90.0,0.9,3,32.38338
-522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,361,37,16,[],Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2022-12-14,2022-12-14,2019-06-10,184,1.9619565217391304,13,4,5,"['adonmo(adonmo)', 'astutespruce', 'gnsscience', 'nelen&schuurmans']",,0.19,21,21,43,0,2,6,2,21.0,14.0,90.0,0.7,321,43.60219
-49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,358,57,11,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository']",Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2022-12-17,2022-12-18,2015-08-03,385,0.9298701298701298,374,2,5,"['pypy,baroquesoftware', 'quansightlabs']",,13.0,1,0,90,0,0,22,22,1.0,0.0,90.0,0.0,3,45.88361
-496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,358,22,6,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2022-12-16,2022-11-29,2022-01-24,47,7.617021276595745,3,1,5,['linkedincorporation'],,0.23,7,2,11,1,3,3,3,7.0,11.0,90.0,1.6,0,20.70189
-499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,355,70,20,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2022-12-16,2021-07-26,2020-07-10,127,2.7858744394618835,2,0,5,[],,0.0,1,0,30,17,0,0,0,1.0,1.0,90.0,1.0,0,7.78837
-519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,354,49,13,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2022-11-28,2022-10-14,2016-03-28,351,1.0085470085470085,15,5,5,"['ambirobotics', 'leipziguniversity', 'prefix.devgmbh', 'resonance', 'westpac']",,0.1,6,1,82,2,0,0,0,6.0,3.0,90.0,0.5,4,31.18635
-756,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,349,29,4,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2022-12-16,2022-10-12,2022-09-13,13,25.185567010309278,1,0,5,[],,0.44,8,1,3,2,0,0,0,8.0,52.0,90.0,6.5,0,13.78734
-692,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,344,51,13,[],Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2022-12-18,2021-06-23,2019-06-27,181,1.8945712037765539,7,2,5,"['ukplab,tudarmstadt', 'xyzlab']",,0.0,1,0,42,18,0,0,0,1.0,0.0,90.0,0.0,0,13.6169
-586,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,343,46,16,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2022-12-18,2022-10-17,2018-03-30,246,1.3918840579710146,10,2,5,"['ornl', 'udl-ai']",,1.1,29,19,57,2,3,4,3,29.0,68.0,90.0,2.3,39,39.11614
-560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,342,56,12,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2022-12-13,2022-12-12,2019-04-16,191,1.7825763216679076,26,5,5,"['corteva', 'dtn', 'gnsscience', 'quantstack', 'smhi']",,2.5,43,21,45,0,16,16,16,43.0,75.0,90.0,1.7,3,45.92631
-786,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,339,22,6,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2022-12-16,2022-12-16,2021-11-18,56,5.992424242424242,13,2,5,"['blueshoe', 'blueshoeunikubehq']",,7.1,131,114,13,0,44,47,44,131.0,200.0,90.0,1.5,3,41.62193
-335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,339,101,12,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2022-12-16,2022-07-16,2021-11-14,57,5.9325,2,0,5,[],,0.06,1,0,13,5,0,0,0,1.0,0.0,90.0,0.0,12,10.29055
-848,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,338,62,116,"['satellite', 'pxm', 'imagery']",Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2022-12-17,2021-10-22,2014-02-12,461,0.7320544554455446,20,2,5,"['planetlabs', 'tudresden']",,0.0,3,0,108,14,0,4,4,3.0,0.0,90.0,0.0,111,30.95645
-340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,338,30,9,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2022-12-14,2020-09-06,2017-06-03,289,1.1683950617283951,2,1,5,['ooni/torproject/debian'],,0.0,1,0,67,28,0,0,0,1.0,0.0,90.0,0.0,0,9.00499
-158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,336,34,15,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2022-12-15,2022-11-29,2020-02-26,146,2.29016553067186,15,4,5,"['noteable-io', 'quantstack', 'seaspancorporation', 'willingconsulting']",,0.04,5,2,34,1,0,5,5,5.0,5.0,90.0,1.0,5,33.9918
-563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,336,34,23,[],Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2022-12-12,2022-08-28,2020-02-13,148,2.2615384615384615,16,4,5,"['azavea', 'mr', 'sylveraio', 'udl-ai']",,1.1,13,3,35,4,7,4,7,13.0,23.0,90.0,1.8,0,32.68949
-464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,333,46,9,[],Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2022-12-12,2022-07-09,2018-04-15,244,1.363955529549444,8,1,5,"['stability.ai,eleuther.ai']",,0.04,1,0,57,5,0,0,0,1.0,0.0,90.0,0.0,4,18.46735
-684,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,330,117,16,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2022-12-13,2022-10-20,2013-01-05,519,0.6354883081155434,45,4,5,"['paris-saclayuniversity', 'quicksign', 'ruhruniversitybochum', 'universitàdellasvizzeraitaliana(testingautomated-usi)']",,0.6,41,24,121,2,2,2,2,41.0,37.0,90.0,0.9,35,44.25724
-237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,329,58,12,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU,salesforce,2022-12-17,2022-12-02,2021-08-25,68,4.787941787941788,6,1,5,['salesforceresearch'],,3.21,14,11,16,1,2,2,2,14.0,11.0,90.0,0.8,15,29.4868
-664,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,327,176,18,[],Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2022-12-07,2020-12-03,2020-08-06,123,2.646242774566474,1,1,5,"['lightning-ai,universityofwisconsin-madison']",,0.0,0,0,29,25,0,0,0,0.0,0.0,90.0,0.0,2,7.63653
-747,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,326,75,13,[],Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2022-12-17,2022-09-20,2021-08-17,69,4.666666666666667,10,2,5,"['google', 'imasl-conicet']",,1.69,8,2,16,3,0,0,0,8.0,7.0,90.0,0.9,0,22.24857
-364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,325,146,40,[],Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2022-12-13,2021-08-26,2018-09-03,224,1.4508928571428572,41,2,5,"['google', 'ibm']",,0.0,1,0,52,16,0,1,1,1.0,1.0,90.0,1.0,113,31.65422
-745,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,322,75,12,"['python', 'wrapper', 'blosc', 'compression']",Python,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2022-12-14,2022-12-16,2010-09-30,637,0.5050414519381582,43,3,5,"['anaconda', 'cea', 'francescalted']",,0.92,43,41,149,0,1,4,1,43.0,66.0,90.0,1.5,167,49.63854
-719,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,321,122,15,[],JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2022-12-15,2022-12-02,2018-03-07,249,1.2854691075514875,11,4,5,"['rbccapitalmarkets', 'universityofflorida', 'weecology', 'weecology,univofflorida']",,0.71,29,14,58,1,0,13,13,29.0,53.0,90.0,1.8,119,45.85945
-594,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,315,257,31,[],Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2022-12-14,2022-12-12,2012-01-13,570,0.5522163786626596,138,3,5,"['geopythonwmo-imopengeospatial', 'opensourcegeospatialfoundation', 'planetlabs']",,0.9,20,7,133,0,4,7,4,20.0,28.0,90.0,1.4,308,53.69716
-510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,313,51,16,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",Python,,"keras_cv_attention_models: Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,gcvit,ghostnetv2,gmlp,halonet,hornet,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2022-12-15,2022-12-04,2021-08-02,72,4.347222222222222,4,3,5,"['koala-team', 'resmonicsag', 'wandb']",,7.21,14,13,17,0,19,68,19,14.0,35.0,90.0,2.5,0,36.27857
-473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,304,31,7,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2022-12-13,2022-10-05,2022-02-10,44,6.82051282051282,1,1,5,['cargeniemellon'],,0.6,0,0,10,2,0,0,0,0.0,0.0,90.0,0.0,0,9.30326
-500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,304,138,18,[],Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2022-12-17,2022-11-21,2020-11-18,108,2.7963206307490145,6,1,5,['google'],,0.1,0,0,25,1,0,0,0,0.0,0.0,90.0,0.0,9,19.35954
-430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,295,35,11,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2022-11-11,2022-07-18,2018-08-14,226,1.3003778337531486,7,3,5,"['imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'researchscientistatnvidia', 'sundellopensourceconsultingab']",,0.1,1,0,53,5,0,0,0,1.0,2.0,90.0,2.0,0,23.23875
-788,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,291,88,6,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2022-12-17,2021-01-15,2020-04-12,140,2.076452599388379,2,2,5,"['http://morconsulting.com/', 'occrp,the-markup']",,0.0,0,0,33,23,0,0,0,0.0,0.0,90.0,0.0,0,9.27945
-574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,278,84,50,[],Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2022-12-09,2021-02-16,2017-05-02,293,0.9460379192999514,6,2,5,"['developmentseed', 'element84']",,0.0,0,0,69,22,0,1,1,0.0,0.0,90.0,0.0,3,17.21887
-524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,277,91,11,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2022-12-14,2022-12-14,2016-06-25,338,0.8188344594594594,46,2,5,"['claranet', 'rancher']",,2.67,47,44,79,0,29,18,29,47.0,37.0,90.0,0.8,5,45.88168
-884,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,276,54,15,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",Jupyter Notebook,http://pastas.readthedocs.io/,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2022-12-17,2022-08-02,2016-04-15,348,0.7921279212792128,17,4,5,"['artesia-water', 'artesiawater', 'karl-franzensuniversityofgraz', 'tudelft']",,1.88,12,6,81,5,3,4,3,12.0,30.0,90.0,2.5,6069,50.62215
-727,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,275,14,18,[],JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2022-12-13,2022-12-09,2021-07-27,72,3.7745098039215685,7,2,5,"['freelance', 'rstudio']",,11.27,54,32,17,0,8,8,8,54.0,57.0,90.0,1.1,2,36.71642
-827,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorch,272,15,8,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",Python,https://kanchanchy.github.io/geotorch/,GeoTorch: A Spatiotemporal Deep Learning Framework,datasystemslab,2022-12-15,2022-11-27,2022-05-23,30,9.066666666666666,4,2,5,"['amberit', 'wherobots']",,1.96,5,3,7,1,0,0,0,6.0,9.0,90.0,1.5,2,23.13765
-123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,268,37,7,[],Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2022-12-14,2022-12-11,2013-03-05,510,0.5246085011185683,22,4,5,"['nordsoftware', 'pioneervalleybooks', 'programmersofvilnius', 'zestsoftware']",,0.6,4,4,119,0,0,6,6,4.0,8.0,90.0,2.0,789,51.42407
-852,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,264,11,6,[],Python,,hstream: Hyper Stream,conradbez,2022-12-12,2022-11-24,2022-11-03,6,40.17391304347826,5,1,5,['streamlit'],,0.79,9,9,2,1,0,0,0,9.0,8.0,90.0,0.9,0,16.24061
-210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,263,24,5,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2022-12-15,2021-05-28,2021-05-27,81,3.224168126094571,3,1,5,['belike'],,0.0,1,0,19,19,0,1,1,1.0,0.0,90.0,0.0,0,8.94624
-307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,263,140,18,"['ethereum', 'python', 'utility-library']",Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2022-12-03,2022-11-17,2017-02-07,305,0.8598785614198973,31,2,5,"['ethereum', 'ethereumfoundation']",,0.31,12,4,71,1,0,11,11,12.0,15.0,90.0,1.2,92,43.00575
-342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,263,19,4,['python'],Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2022-12-17,2022-12-15,2017-09-22,273,0.9618599791013585,5,1,5,['micaeljarniac'],,0.54,4,3,64,0,2,5,2,4.0,15.0,90.0,3.8,5,33.22458
-385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,263,35,7,[],Python,,contractions: Fixes contractions such as `you're` to you `are`,kootenpv,2022-12-17,2022-11-15,2016-12-25,312,0.8425629290617849,14,2,5,"['japan', 'vankootenaisolutions/mgnr.io']",,0.23,2,0,73,1,0,0,0,2.0,1.0,90.0,0.5,16,29.64106
-508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,258,57,14,[],JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2022-12-12,2022-12-17,2019-08-19,174,1.4827586206896552,33,1,5,['spectatorpublishingcorrelation-one'],,16.15,76,64,41,0,6,6,6,76.0,85.0,90.0,1.1,80,47.53465
-303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,257,27,8,[],Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2022-12-17,2022-01-04,2021-08-27,68,3.755741127348643,2,1,5,['coinbase'],,0.02,0,0,16,12,0,0,0,0.0,0.0,90.0,0.0,0,7.1275
-418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,256,17,6,['pandas'],Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2022-12-12,2022-04-17,2018-01-25,255,1.0016769144773616,5,2,5,"['apple', 'bigabid']",,0.38,2,0,60,8,0,0,0,2.0,1.0,90.0,0.5,0,18.06195
-670,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,252,78,26,[],C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2022-12-15,2022-10-19,2015-03-14,405,0.6217835741980966,21,1,5,['geometryfactory'],,2.4,12,7,95,2,3,0,3,12.0,8.0,90.0,0.7,4,33.34485
-693,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,251,27,13,[],Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2022-12-06,2022-03-09,2018-12-07,210,1.1928038017651053,8,2,5,"['https://alefnula.io', 'metaai']",,0.04,2,1,49,9,0,4,4,2.0,1.0,90.0,0.5,0,21.30531
-587,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,249,6,14,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2022-12-07,2022-11-17,2022-02-11,44,5.604501607717042,12,3,5,"['idealointernetgmbh', 'merantix&pw-solutions', 'merantixlabs']",,1.87,17,14,10,1,12,15,12,17.0,21.0,90.0,1.2,0,31.65446
-374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,249,63,11,[],Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2022-11-15,2019-02-09,2017-12-08,262,0.9488296135002722,4,1,5,['nomitri-perceptionaiformobile'],,0.0,4,1,61,47,0,0,0,4.0,1.0,90.0,0.2,0,10.83856
-300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,248,47,7,[],Python,,openai/grade-school-math,openai,2022-12-18,2021-11-19,2021-10-20,60,4.084705882352941,2,1,5,['openai'],,0.0,1,0,14,13,0,0,0,1.0,0.0,90.0,0.0,2,9.05355
-248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,247,19,9,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2022-10-23,2019-11-13,2016-09-07,327,0.7537053182214473,23,2,5,"['avira', 'engineeringstableauto']",,0.0,0,0,76,38,0,0,0,0.0,0.0,90.0,0.0,0,15.83822
-714,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,246,38,4,"['machine-learning', 'mlops', 'hacktoberfest']",Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2022-12-16,2022-12-16,2021-11-17,56,4.337531486146096,15,2,5,"['letsopen-source', 'unionai']",,4.79,76,46,13,0,17,16,17,76.0,127.0,90.0,1.7,2,39.51596
-480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,245,21,22,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2022-12-16,2022-12-16,2019-10-28,164,1.4939024390243902,9,3,5,"['anaconda', 'datum-tech', 'hextechnologies']",,0.31,8,7,38,0,2,12,2,8.0,2.0,90.0,0.2,2,30.26737
-454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,243,59,16,[],Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2022-12-06,2022-06-19,2013-12-06,471,0.5154545454545455,12,3,5,"['datamade', 'nlt', 'openaddressesdevelopmentseed']",,0.38,3,0,110,6,1,2,1,3.0,7.0,90.0,2.3,0,28.47583
-276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,239,60,13,[],Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2022-12-14,2022-12-05,2021-07-26,73,3.2739726027397262,7,2,5,"['py-world', 'tokenflowinsights']",,0.71,9,9,17,0,0,0,0,9.0,8.0,90.0,0.9,0,25.0426
-864,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,239,87,44,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2022-12-13,2022-12-16,2020-01-22,151,1.5753295668549905,48,3,5,"['astronomer', 'cerebral', 'mandolin-dev']",,1.58,29,29,35,0,18,29,18,29.0,14.0,90.0,0.5,14,44.48687
-277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,238,47,30,[],Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2022-12-15,2022-05-09,2017-02-22,303,0.7836312323612418,12,2,5,"['airbnb', 'datascientistatnetflix']",,0.04,0,0,71,7,1,13,1,0.0,0.0,90.0,0.0,0,19.16977
-588,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,235,27,8,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2022-12-18,2022-05-02,2020-03-17,143,1.6335650446871897,4,0,5,[],,0.06,8,0,34,8,0,9,9,8.0,3.0,90.0,0.4,0,14.93178
-657,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,234,46,10,[],Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2022-12-07,2022-12-01,2018-11-26,212,1.1037735849056605,59,3,5,"['iter8ve', 'mozilla', 'redhat']",,0.67,7,7,49,1,5,16,5,7.0,17.0,90.0,2.4,1216,50.88298
-870,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,233,36,23,[],Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2022-12-10,2022-12-08,2019-11-27,159,1.4588550983899822,12,1,5,['thoughtmachine'],,1.54,7,6,37,0,4,2,4,7.0,9.0,90.0,1.3,8,34.12383
-515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,233,109,14,"['data-science', 'machine-learning', 'datasets', 'python']",Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2022-12-18,2022-11-01,2020-09-17,117,1.9817739975698663,3,2,5,"['jovian', 'jovianml']",,0.13,2,0,27,2,0,0,0,2.0,0.0,90.0,0.0,3,18.15162
-229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,232,23,10,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2022-12-11,2022-09-13,2020-06-15,131,1.7709923664122138,5,1,5,['microsoft'],,0.02,1,1,31,3,0,3,3,1.0,0.0,90.0,0.0,0,16.91704
-737,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,227,32,7,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2022-12-18,2022-12-16,2022-05-04,32,6.93886462882096,9,2,5,"['huggingface', 'jsainsburyplc,sainsburys-tech']",,2.48,138,104,8,0,4,6,4,138.0,530.0,90.0,3.8,4,38.30099
-83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,226,45,12,[],Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2022-12-16,2022-11-26,2017-09-17,274,0.8243877019280875,11,1,5,['lumoanalytics'],,0.48,23,16,64,1,0,4,4,23.0,58.0,90.0,2.5,26,37.72237
-274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,215,49,23,[],Python,http://amzn.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2022-12-16,2022-12-12,2016-04-07,349,0.615038823048631,25,2,5,"['amazon', 'amzn']",,0.33,13,5,82,0,3,2,3,13.0,6.0,90.0,0.5,16,38.05117
-491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,213,30,44,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2022-12-16,2022-10-26,2018-03-09,249,0.8539518900343642,13,3,5,"['developmentseed', 'regrowag', 'uav4geo']",,0.63,4,3,58,2,0,12,12,4.0,6.0,90.0,1.5,11,37.22211
-888,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,205,26,5,"['python', 'roadmap', 'tutorial']",Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2022-12-18,2022-12-13,2022-11-03,6,31.195652173913043,1,1,5,['oznadigitalsolutions'],,0.92,2,0,2,0,0,0,0,2.0,4.0,90.0,2.0,0,14.54184
-249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,204,77,13,[],Python,,bilhim/trafficsimulator,bilhim,2022-12-12,2021-09-07,2021-09-05,67,3.0382978723404257,2,0,5,[],,0.0,0,0,16,16,0,0,0,0.0,0.0,90.0,0.0,4,5.92078
-243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,198,42,5,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2022-12-16,2022-09-07,2020-12-09,105,1.872972972972973,7,1,5,['bezerocarbon'],,0.81,1,0,25,3,0,0,0,1.0,0.0,90.0,0.0,0,15.22609
-240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,198,32,9,[],Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2022-12-14,2021-11-11,2020-12-11,105,1.8780487804878048,2,0,5,[],,0.0,0,0,25,13,0,0,0,0.0,0.0,90.0,0.0,2,6.52341
-865,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,197,27,13,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",Python,https://docs.astronomer.io/learn/astro-python-sdk-etl,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2022-12-18,2022-12-18,2021-12-06,54,3.6481481481481484,32,2,5,"['astronomer', 'astronomerio']",,13.54,677,489,13,0,42,49,42,677.0,784.0,90.0,1.2,112,52.56646
-836,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,195,57,14,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2022-12-15,2022-11-18,2013-01-06,519,0.3756191524490919,4,2,5,"['universityofcolorado', 'universityofidaho']",,0.79,9,1,121,1,2,2,2,9.0,5.0,90.0,0.6,84,34.882
-733,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,194,48,6,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2022-12-02,2022-11-05,2020-04-01,141,1.3689516129032258,10,2,5,"['carnegiemellonuniversity', 'universityofcambridge']",,2.85,8,5,33,1,0,0,0,8.0,27.0,90.0,3.4,12,34.90097
-859,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,193,142,26,[],Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2022-12-01,2022-12-18,2015-04-09,401,0.48061188189256493,70,4,5,"['mongodb', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory']",,3.35,40,30,94,0,9,4,9,40.0,40.0,90.0,1.0,1138,57.95342
-456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,190,23,4,"['machine-learning', 'python', 'addresses-parsing']",Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2022-12-16,2022-12-01,2020-07-01,128,1.4761376248612652,6,1,5,['baseline.québec'],,4.54,17,15,30,1,20,18,20,17.0,15.0,90.0,0.9,34,36.85866
-337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,189,24,5,[],C,,mrabarnett/mrab-regex,mrabarnett,2022-12-17,2022-10-31,2020-11-02,111,1.7027027027027026,9,2,5,"['facebook', 'google']",,0.31,7,6,26,2,0,6,6,7.0,15.0,90.0,2.1,2311,42.54368
-446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,184,32,13,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2022-12-14,2022-12-14,2019-03-01,198,0.9272858171346292,15,3,5,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'ornl']",,6.38,75,58,46,0,3,3,3,75.0,73.0,90.0,1.0,104,46.87672
-207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,181,42,13,[],Python,,aws/aws-lambda-python-runtime-interface-client,aws,2022-12-18,2022-08-16,2020-09-02,119,1.5119331742243436,21,2,5,"['356', 'amazonwebservices']",,0.31,7,1,28,4,0,3,3,7.0,6.0,90.0,0.9,2,27.78369
-467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,181,14,5,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2022-12-18,2022-12-18,2020-12-06,106,1.705248990578735,3,2,5,"['adevinta', 'czechtechnicaluniversity']",,7.31,1,1,25,0,16,17,16,1.0,0.0,90.0,0.0,0,26.83212
-899,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,181,16,13,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2022-12-15,2021-01-18,2017-11-12,266,0.6800858829844337,5,2,5,"['eradb', 'mapbox']",,0.0,1,0,62,23,0,3,3,1.0,0.0,90.0,0.0,0,15.66025
-520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,179,51,11,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2022-12-15,2022-12-09,2020-05-26,133,1.3372465314834578,1,0,5,[],,0.13,2,0,31,0,0,0,0,2.0,11.0,90.0,5.5,0,19.32606
-585,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,176,28,17,[],Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2022-12-08,2022-10-24,2018-09-19,221,0.7938144329896907,9,5,5,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'mansueto-institute', 'ornl', 'universityofnorthtexas']",,0.94,4,2,52,2,4,7,4,4.0,1.0,90.0,0.2,16,33.9214
-731,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,175,17,8,[],Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2022-12-15,2021-04-05,2021-03-29,90,1.9444444444444444,2,0,5,[],,0.0,0,0,21,21,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
-266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,174,30,6,[],Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2022-12-16,2022-12-09,2020-12-10,105,1.6481732070365358,9,3,5,"['allenai', 'castedo.com', 'kafkodersfrontiersin']",,0.13,6,5,25,0,0,0,0,6.0,2.0,90.0,0.3,0,25.05772
-33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,171,71,13,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",Python,,address-net: A package to structure Australian addresses,jasonrig,2022-12-01,2020-09-09,2018-12-05,210,0.8115254237288135,2,2,5,"['deceptiveai', 'monash-mercpay-baymax']",,0.0,2,0,49,28,0,0,0,2.0,5.0,90.0,2.5,0,15.83578
-461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,165,23,7,[],Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2022-12-11,2022-09-17,2021-11-26,55,2.9768041237113403,6,0,5,[],,0.12,7,2,13,3,0,0,0,7.0,1.0,90.0,0.1,0,11.24106
-415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,163,33,12,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2022-12-17,2022-12-09,2021-07-05,76,2.1447368421052633,1,1,5,['google'],,0.1,0,0,18,0,2,5,2,0.0,0.0,90.0,0.0,0,14.66177
-819,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,161,22,5,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2022-12-17,2022-11-03,2022-06-27,25,6.44,2,0,5,[],,0.21,3,1,6,2,0,0,0,3.0,9.0,90.0,3.0,0,12.75654
-339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,160,17,9,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2022-11-30,2021-11-15,2021-10-26,59,2.6730310262529833,2,1,5,['singaporeuniversityoftechnologyanddesign'],,0.0,1,1,14,13,0,0,0,1.0,0.0,90.0,0.0,0,7.56236
-890,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,159,0,9,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2022-12-15,2022-11-28,2022-11-28,3,53.0,2,0,5,[],,0.77,4,0,1,1,0,0,0,4.0,0.0,90.0,0.0,0,5.11876
-743,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,158,135,7,[],Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2022-12-15,2021-10-21,2020-03-01,146,1.0811339198435972,1,1,5,['explosion'],,0.0,0,0,34,14,0,0,0,0.0,0.0,90.0,0.0,5,10.60689
-775,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,145,86,43,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2022-12-14,2022-09-14,2014-06-18,443,0.3267868641339343,25,5,5,"['cambridgesystematics|georgiatech', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'ptvgroup', 'rsginc']",,2.9,43,19,104,3,4,2,4,43.0,68.0,90.0,1.6,28,45.77213
-606,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,142,14,12,[],Python,,pyscript-cli: A CLI for PyScript,pyscript,2022-12-16,2022-12-13,2022-05-01,33,4.2844827586206895,7,1,5,['anaconda'],,1.35,5,4,8,0,0,9,9,5.0,4.0,90.0,0.8,0,24.94297
-869,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,138,25,4,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2022-12-15,2022-12-03,2018-09-22,221,0.6236281471917366,12,1,5,['nordsoftware'],,1.42,14,13,52,0,3,6,3,14.0,11.0,90.0,0.8,8,34.33206
-901,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,137,20,7,[],Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2022-12-17,2022-12-15,2022-09-12,14,9.785714285714286,5,5,5,"['amazon', 'amazonai', 'amazonwebservices', 'hongkonguniversityofscienceandtechnology', 'universityoftennessee']",,0.71,39,38,3,0,0,0,0,39.0,46.0,90.0,1.2,0,26.47835
-231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,136,27,3,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2022-12-14,2022-06-10,2020-07-06,128,1.0625,2,1,5,['freshflowai'],,0.02,4,0,30,6,0,0,0,4.0,2.0,90.0,0.5,0,12.95187
-826,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,134,10,4,[],Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2022-12-16,2022-12-14,2022-10-31,7,19.142857142857142,2,1,5,['awesomehamster'],,1.29,22,16,2,0,0,0,0,22.0,74.0,90.0,3.4,0,20.95058
-564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,134,8,8,[],Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2022-12-16,2022-12-18,2020-03-27,142,0.9408224674022067,8,2,5,"['astutespruce', 'udl-ai']",,1.87,43,29,33,0,6,3,6,43.0,84.0,90.0,2.0,5,38.2158
-147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,132,33,9,"['markov-clustering', 'clustering', 'python', 'networks']",Python,,markov_clustering: markov clustering in python,guyallard,2022-11-15,2018-12-11,2017-09-27,272,0.48402304871660556,3,0,5,[],,0.0,2,1,64,49,0,0,0,2.0,1.0,90.0,0.5,0,7.43119
-774,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,131,71,24,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2022-12-06,2022-12-12,2013-12-29,468,0.27982911199267624,58,1,5,['codeworksfrance'],,3.31,61,35,109,0,0,43,43,62.0,83.0,90.0,1.3,53,50.57802
-785,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,128,7,3,[],TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2022-12-12,2022-05-13,2020-11-28,107,1.193075898801598,2,0,5,[],,0.08,2,0,25,7,0,0,0,2.0,0.0,90.0,0.0,0,6.81611
-290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,125,35,4,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2022-12-13,2022-07-02,2020-06-21,130,0.960482985729967,2,1,5,['amzn'],,0.04,0,0,30,6,0,0,0,0.0,0.0,90.0,0.0,0,10.15293
-583,web,https://github.com/developmentseed/fastai-serving,,,,developmentseed/fastai-serving,fastai-serving,121,11,8,"['machine-learning', 'python', 'deep-learning', 'pytorch', 'docker']",Python,,"fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving",developmentseed,2022-04-08,2020-02-10,2019-07-01,181,0.6685082872928176,2,1,5,['cloud-gov(work)+personalprojects;'],,0.0,0,0,42,35,0,0,0,0.0,0.0,90.0,0.0,0,6.87157
-305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,121,3,3,[],Python,,pytrait: Traits for Python3,xrudelis,2022-11-15,2021-11-27,2021-11-21,56,2.1552162849872776,2,0,5,[],,0.0,0,0,13,13,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
-555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,118,30,0,[],,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2022-12-12,2021-12-10,2022-01-09,49,2.4011627906976742,29,3,5,"['canoapbc', 'grid.ai|pytorchlightning', 'universityoftexasatdallas']",,0.0,0,0,11,12,0,11,11,0.0,0.0,90.0,0.0,38,27.00509
-316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,117,13,3,[],C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2022-11-22,2022-11-15,2019-06-30,181,0.6458990536277602,4,1,5,['closedlooplabs'],,0.44,4,4,42,1,7,9,7,4.0,6.0,90.0,1.5,8,29.75635
-571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,113,27,11,"['geojson', 'pydantic', 'geojson-spec']",Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2022-11-29,2022-12-16,2020-05-21,134,0.8397027600849257,19,3,5,"['bigbear.ai', 'cloud-gov(work)+personalprojects;', 'developmentseed']",,1.21,4,1,31,0,0,6,6,4.0,3.0,90.0,0.8,5,35.69967
-893,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,110,45,9,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2022-12-13,2020-03-20,2019-04-23,190,0.5763473053892215,3,2,5,"['cimat', 'inriaresearchcenter']",,0.0,0,0,44,33,0,0,0,0.0,0.0,90.0,0.0,0,9.90736
-407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,109,23,12,"['python', 'apache-beam', 'weather']",Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2022-12-14,2022-12-13,2021-11-22,56,1.9464285714285714,25,1,5,['infocuspinnovationspvt.ltd.'],,2.19,48,25,13,0,8,8,8,48.0,29.0,90.0,0.6,0,31.70445
-466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,105,7,3,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2022-11-08,2022-04-18,2021-12-29,50,2.0704225352112675,2,1,5,['argilla'],,0.27,0,0,12,8,0,0,0,0.0,0.0,90.0,0.0,0,7.74479
-463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,102,7,3,[],Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2022-12-16,2022-11-20,2022-02-18,43,2.348684210526316,2,0,5,[],,0.4,7,7,10,1,0,0,0,7.0,21.0,90.0,3.0,0,16.54447
-527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,99,14,20,[],Python,,hazyresearch/domino,hazyresearch,2022-12-16,2022-08-02,2021-11-29,55,1.8,6,0,5,[],,1.19,4,1,13,5,1,6,1,4.0,0.0,90.0,0.0,6,15.10553
-847,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,97,12,4,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2022-12-04,2022-11-01,2022-07-11,23,4.217391304347826,1,1,5,['saintlouisuniversity'],,0.96,0,0,5,2,1,2,1,0.0,0.0,90.0,0.0,0,9.39903
-533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,96,23,9,[],Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2022-12-06,2022-07-21,2021-08-30,68,1.411764705882353,2,1,5,['ohiostateuniversity'],,0.85,1,0,16,5,0,0,0,1.0,1.0,90.0,1.0,0,13.45798
-529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,96,23,18,[],Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2022-12-01,2020-05-27,2018-03-23,247,0.38799076212471134,6,3,5,"['https://snorkel.ai/', 'numbersstationai', 'vodafone']",,0.0,0,0,58,31,0,3,3,0.0,0.0,90.0,0.0,0,16.15219
-457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,95,22,6,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2022-12-08,2022-11-04,2021-09-27,64,1.484375,2,0,5,[],,0.6,4,4,15,1,0,0,0,4.0,11.0,90.0,2.8,8,20.76397
-781,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,95,20,4,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2022-11-07,2022-08-23,2016-12-01,315,0.30104119511090993,6,5,5,"['cirad', 'faoopenforis', 'lancasteruniversity', 'uiuc', 'weecology,univofflorida']",,0.56,1,0,74,4,1,0,1,1.0,0.0,90.0,0.0,22,28.9049
-558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,37,10,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2022-12-09,2016-08-12,331,0.2806034482758621,8,3,5,"['actions', 'udl-ai', 'universityofliverpool']",,0.83,3,0,77,0,1,2,1,3.0,1.0,90.0,0.3,79,35.75315
-835,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,91,8,3,[],Python,,jellezijlstra/autotyping,jellezijlstra,2022-12-18,2022-12-18,2021-06-25,77,1.1752767527675276,6,3,5,"['quora', 'sendcloud', 'softformance']",,0.25,12,7,18,0,2,1,2,12.0,23.0,90.0,1.9,3,31.95208
-534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,90,10,1,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2022-09-11,2022-12-17,2022-02-28,42,2.142857142857143,1,1,5,['isomorphiclabs'],,1.98,0,0,10,0,1,1,1,0.0,0.0,90.0,0.0,0,14.29446
-667,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,90,13,7,[],Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2022-12-17,2022-11-10,2022-03-23,38,2.3247232472324724,1,0,5,[],,0.4,7,2,9,1,0,0,0,7.0,19.0,90.0,2.7,0,14.18236
-744,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,88,19,4,[],Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2022-11-21,2022-12-16,2020-12-02,106,0.8246318607764391,8,2,5,"['aiqc', 'deuteronomyworks']",,8.5,0,0,25,0,0,0,0,0.0,0.0,90.0,0.0,2,25.25604
-485,gis,https://github.com/scisco/area,,,,scisco/area,area,87,19,3,[],Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-12-14,2018-10-31,2015-11-25,368,0.23595505617977527,3,0,5,[],,0.0,0,0,86,50,0,0,0,0.0,0.0,90.0,0.0,0,5.13983
-269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,83,6,3,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-11-26,2021-06-26,2016-05-17,343,0.2413793103448276,7,3,5,"['deepsourcelabs', 'investnext', 'quantifiedcode']",,0.0,0,0,80,18,0,0,0,0.0,0.0,90.0,0.0,0,16.10308
-746,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,82,10,3,"['parquet', 'parquet-tools', 'cli']",Python,,parquet-tools: easy install parquet-tools,ktrueda,2022-12-07,2022-06-14,2020-05-02,137,0.5972944849115505,10,2,5,"['discogs', 'shopify']",,0.1,2,0,32,6,2,6,2,2.0,0.0,90.0,0.0,5,21.9127
-562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,81,19,11,[],Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2022-12-06,2022-12-15,2021-05-21,82,0.9826689774696707,17,2,5,"['quantstack', 'udl-ai']",,1.13,9,6,19,0,7,10,7,9.0,5.0,90.0,0.6,0,30.65109
-668,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,80,7,2,[],Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2022-11-10,2021-09-17,2021-05-18,82,0.9655172413793104,1,0,5,[],,0.0,0,0,19,15,0,0,0,0.0,0.0,90.0,0.0,0,2.46223
-842,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,79,4,1,"['jupyter', 'pandas', 'python']",Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2022-12-04,2022-12-16,2022-03-24,38,2.0481481481481483,2,2,5,"['cmu', 'cmu,apple']",,3.58,94,70,9,0,0,0,0,94.0,41.0,90.0,0.4,0,24.1815
-769,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,79,14,3,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2022-12-18,2022-12-09,2019-02-05,201,0.3913658881811748,226,4,5,"['appfolio', 'billy', 'indeed', 'netflix']",,4.1,29,26,47,0,2,3,2,29.0,12.0,90.0,0.4,14,48.02319
-327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,75,19,8,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2022-12-14,2022-12-14,2019-10-10,166,0.4502572898799314,15,3,5,"['nginxinc', 'sonatype', 'sonatypecyclonedx']",,1.0,5,4,39,0,12,41,12,5.0,8.0,90.0,1.6,30,41.82917
-851,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,72,2,4,[],Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2022-12-16,2022-11-02,2022-10-22,8,8.689655172413794,1,1,5,['quansight'],,0.96,6,3,2,2,0,0,0,6.0,1.0,90.0,0.2,2,11.50637
-530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,72,13,14,[],Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2022-09-23,2020-02-02,2019-09-29,168,0.4282073067119796,3,2,5,"['azerbaijanpug', 'tum,imperialcollege,openmined']",,0.0,0,0,39,35,0,4,4,0.0,0.0,90.0,0.0,11,16.80633
-584,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,70,19,8,[],Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2022-12-14,2022-11-21,2019-05-14,187,0.3726235741444867,8,3,5,"['developmentseed', 'regrowag', 'satellogic']",,0.44,7,6,44,1,0,11,11,7.0,7.0,90.0,1.0,6,34.77557
-234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,65,18,12,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2022-11-17,2022-04-01,2019-09-17,169,0.3826745164003364,35,2,5,"['blockchains', 'sni']",,3.81,2,0,40,9,0,28,28,2.0,2.0,90.0,1.0,3,33.49362
-568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,64,4,2,[],Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-12-13,2021-03-05,2020-04-13,140,0.45714285714285713,1,1,5,['universityofsoutherncalifornia'],,0.0,0,0,33,22,0,0,0,0.0,0.0,90.0,0.0,2,8.24433
-453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,61,25,9,[],Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2022-11-08,2022-11-29,2021-02-04,97,0.6251830161054173,5,3,5,"['calthorpeanalytics', 'carto', 'google']",,0.79,6,3,23,1,0,3,3,6.0,3.0,90.0,0.5,4,28.2204
-535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,57,1,3,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2022-11-26,2022-08-07,2022-01-20,47,1.1981981981981982,3,3,5,"['emcdestudent', 'regrowag', 'rsc4earth|universityofleipzig']",,1.06,0,0,11,4,1,1,1,0.0,0.0,90.0,0.0,0,15.24661
-521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,55,14,4,[],Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2022-12-16,2020-09-03,2018-09-05,223,0.24584929757343552,2,0,5,[],,0.0,1,0,52,28,0,0,0,1.0,0.0,90.0,0.0,0,4.99287
-854,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2022-09-22,2019-09-18,169,0.32407407407407407,10,1,5,['backticktechnologies'],,0.33,13,2,40,3,3,14,3,13.0,2.0,90.0,0.2,0,22.04893
-816,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,51,7,6,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2022-12-15,2022-12-15,2022-10-14,9,5.409090909090909,4,2,5,"['amazon', 'amazonwebservices(aws)']",,0.5,9,5,2,0,3,18,3,9.0,16.0,90.0,1.8,0,22.89248
-326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,50,91,10,"['snyk', 'python', 'api']",Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2022-11-04,2022-12-12,2019-02-03,202,0.24734982332155478,22,3,5,"['gitpod-io', 'replicated.com', 'snyk']",,0.29,10,1,47,0,8,5,8,10.0,4.0,90.0,0.4,4,35.76346
-400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,47,8,3,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2022-12-09,2022-12-10,2020-06-20,130,0.3607456140350877,2,0,5,[],,1.62,6,6,30,0,0,2,2,6.0,0.0,90.0,0.0,0,17.7477
-401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,43,13,4,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2022-12-16,2022-12-10,2021-09-27,64,0.671875,1,0,5,[],,0.63,0,0,15,0,0,2,2,0.0,0.0,90.0,0.0,0,11.50913
-202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,37,8,1,[],Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2022-12-18,2022-11-19,2021-03-13,92,0.40092879256965946,1,1,5,['viennauniversityofeconomicsandbusiness(wu)'],,1.71,0,0,22,1,0,0,0,0.0,0.0,90.0,0.0,0,13.00466
-776,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,37,27,11,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2022-08-23,2021-11-19,2017-02-14,304,0.12136832239925023,9,2,5,"['ptvgroup', 'rsginc']",,0.0,1,0,71,13,0,1,1,1.0,3.0,90.0,3.0,0,23.36645
-821,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,35,2,3,[],Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2022-12-14,2022-12-16,2020-10-26,112,0.3125,1,0,5,[],,0.29,7,7,26,0,9,9,9,7.0,12.0,90.0,1.7,0,21.63002
-386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,35,5,1,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2022-10-19,2022-09-28,2020-11-19,108,0.3223684210526316,4,0,5,[],,0.17,2,1,25,3,2,2,2,2.0,13.0,90.0,6.5,0,21.05313
-333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,3,3,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2022-11-16,2021-12-16,52,0.6086956521739131,4,1,5,['epfl'],,0.98,27,20,12,1,7,7,7,27.0,38.0,90.0,1.4,0,25.43196
-711,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,30,1,7,[],Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-10-27,2021-06-28,2019-10-24,164,0.18229166666666666,6,1,5,['argonnenationallaboratory'],,0.0,1,1,38,18,0,2,2,1.0,1.0,90.0,1.0,0,16.39984
-502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2022-12-03,2021-05-21,82,0.3396880415944541,1,1,5,['gafag'],,0.17,0,0,19,0,0,2,2,0.0,0.0,90.0,0.0,0,14.89266
-894,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,27,9,9,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2022-12-16,2020-01-02,2016-03-22,351,0.07673568818514007,7,2,5,"['aaltouniversity', 'pyupio']",,0.0,0,0,82,36,0,0,0,0.0,0.0,90.0,0.0,0,13.11651
-688,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,3,1,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2022-11-26,2022-06-06,2022-03-22,38,0.5919117647058824,3,1,5,['mit-ibmwatsonailab'],,0.31,0,0,9,6,1,1,1,0.0,0.0,90.0,0.0,0,9.80233
-37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,[],Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2022-11-02,2014-08-04,437,0.04805491990846682,8,0,5,[],,0.04,1,0,102,2,0,0,0,1.0,0.0,90.0,0.0,5,18.50268
-840,data,https://github.com/codait/pardata,,,,codait/pardata,pardata,18,5,11,"['dataset', 'python', 'machine-learning', 'artificial-intelligence', 'data-science']",Python,https://pardata.readthedocs.io/en/latest/,codait/pardata,codait,2022-08-14,2021-12-01,2020-11-17,108,0.16535433070866143,7,2,5,"['google', 'ibmcodait']",,0.0,7,0,25,13,0,3,3,7.0,0.0,90.0,0.0,0,16.56351
-578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,17,4,0,[],Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2022-11-15,2022-01-30,2021-12-04,54,0.3131578947368421,10,1,5,['adobe'],,0.02,1,0,13,11,0,14,14,1.0,0.0,90.0,0.0,31,21.96317
-679,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2022-12-06,2021-01-21,99,0.1606886657101865,2,0,5,[],,0.48,1,1,23,0,2,3,2,1.0,1.0,90.0,1.0,0,17.35809
-669,gis,https://github.com/zorzi-s/maprepair,,,,zorzi-s/maprepair,MapRepair,16,4,2,[],Python,,MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images,zorzi-s,2022-12-06,2021-05-17,2020-07-30,124,0.12844036697247707,1,0,5,[],,0.0,0,0,29,19,0,0,0,0.0,0.0,90.0,0.0,0,2.90949
-892,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,10,4,5,"['package-installer', 'pyodide', 'python', 'webassembly']",Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2022-12-15,2022-12-12,2022-09-15,13,0.7368421052631579,6,1,5,['mitmathdepartment'],,0.54,37,27,3,0,0,8,8,37.0,70.0,90.0,1.9,3,28.65104
-702,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,[],Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-12-16,2022-01-25,2019-08-05,176,0.056818181818181816,6,0,5,[],,0.1,0,0,41,11,0,0,0,0.0,0.0,90.0,0.0,9,12.73981
-608,typing,https://github.com/tk0miya/docutils-stubs,,,,tk0miya/docutils-stubs,docutils-stubs,7,5,6,[],Python,,tk0miya/docutils-stubs,tk0miya,2022-01-02,2022-01-02,2018-11-02,215,0.03249336870026525,6,2,5,"['timeintermedia(timedia)', 'unist']",,0.04,0,0,50,12,0,5,5,0.0,0.0,90.0,0.0,8,21.32329
-180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,5,5,3,[],Python,,dynpy: Dynamical systems for Python,artemyk,2021-09-24,2018-09-28,2014-09-12,431,0.011589403973509934,5,0,5,[],,0.0,0,0,101,51,0,0,0,0.0,0.0,90.0,0.0,3,9.08824
-526,gis,https://github.com/lycantropos/wagyu,,,,lycantropos/wagyu,wagyu,3,2,1,[],Python,https://github.com/mapbox/wagyu,wagyu: Python port of mapbox/wagyu library (with separate C++ binding),lycantropos,2022-07-19,2020-11-21,2020-06-30,128,0.02328159645232816,2,0,5,[],,0.0,0,0,30,25,0,2,2,0.0,0.0,90.0,0.0,0,5.4272
-751,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,2,0,2,[],Python,,edomel/boundaryvt,edomel,2022-12-07,2022-09-29,2022-07-29,20,0.0979020979020979,2,1,5,['ethzurich'],,0.1,0,0,5,3,0,0,0,0.0,0.0,90.0,0.0,0,7.59265
-420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,"['python', 'template', 'jupyterlab', 'cookiecutter']",Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2022-08-19,2020-02-12,148,0.0067243035542747355,2,0,5,[],,0.1,1,0,35,4,0,1,1,1.0,0.0,90.0,0.0,0,9.75574
+,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_language,_homepage,_description,_organization,_updated_at,_created_at,_age_weeks,_stars_per_week,_topics,_last_commit_date,_pop_contributor_count,_pop_contributor_logins,_pop_contributor_orgs_len,_pop_contributor_orgs_max,_pop_contributor_orgs,_pop_contributor_orgs_raw,_pop_contributor_orgs_error,_pop_commit_frequency,_pop_updated_issues_count,_pop_closed_issues_count,_pop_created_since_days,_pop_updated_since_days,_pop_recent_releases_count,_pop_recent_releases_estimated_tags,_pop_recent_releases_adjusted_count,_pop_issue_count,_pop_comment_count,_pop_comment_count_lookback_days,_pop_comment_frequency,_pop_dependents_count,_pop_score
+89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,171400,87832,7764,C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2023-02-21,2015-11-07,380,450.37537537537537,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",2023-02-21,4275,"['benoitsteiner', 'caisq@google', 'gunan@googletensorflow', 'hawkinsp@google', 'mihaimaruseac@google', 'mrry', 'roserg', 'tensorflower-gardener', 'vrv@carnegiemellonuniversity', 'yongtang']",3,10,"['carnegiemellonuniversity', 'google', 'googletensorflow']","['@google @tensorflow ', 'Carnegie Mellon University', 'Google']",,321.21,2254,1372,89,0,27,26,27,2255.0,6541.0,90.0,2.9,0,72.75049
+405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,153358,39092,5962,Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2023-02-21,2016-07-16,344,445.0688225538972,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",2023-02-21,978,"['AnupKumarPanwar@thealgorithmsgojek', 'MaximSmolskiy', 'SandersLin', 'cclauss@christianclauss', 'christianbender', 'daniel-s-ingram@torcrobotics', 'dhruvmanila', 'duyuanch@thealgorithms', 'dynamitechetan@fossasiagojekthealgorithms', 'harshildarji@universitätpassau']",6,10,"['christianclauss', 'fossasiagojekthealgorithms', 'thealgorithms', 'thealgorithmsgojek', 'torcrobotics', 'universitätpassau']","['@TheAlgorithms', '@TheAlgorithms @Gojek', '@fossasia @gojek @thealgorithms', 'Christian Clauss', 'Torc Robotics', 'Universität Passau']",,6.52,169,110,80,0,0,0,0,169.0,169.0,90.0,1.0,0,52.52774
+112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,81769,18127,899,Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2023-02-21,2018-10-29,225,362.9568801521877,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",2023-02-21,1746,"['LysandreJik@huggingface', 'Narsil@huggingface', 'julien-c@huggingface', 'patil-suraj@huggingface', 'patrickvonplaten', 'sgugger', 'sshleifer@facebookresearch', 'stas00@stasosphereonline/huggingface', 'thomwolf@huggingface', 'ydshieh']",3,10,"['facebookresearch', 'huggingface', 'stasosphereonline/huggingface']","['@facebookresearch', '@huggingface ', 'Hugging Face', 'Huggingface', 'Stasosphere Online Inc. / HuggingFace Inc.']",,56.77,1870,1554,53,0,22,27,22,1870.0,5676.0,90.0,3.0,0,65.87611
+14,web,https://github.com/django/django,,,,django/django,django,68891,28667,2266,Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2023-02-21,2012-04-28,564,122.02353238866397,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",2023-02-21,2880,"['aaugustin@qonto', 'adrianholovaty', 'charettes@zapier', 'claudep@2xlibre.netsàrl', 'felixxm@django', 'freakboy3742', 'jacobian@latacora', 'jezdez@anaconda', 'malcolmt', 'timgraham']",6,10,"['2xlibre.netsàrl', 'anaconda', 'django', 'latacora', 'qonto', 'zapier']","['2xlibre.net Sàrl', '@anaconda', '@django', '@qonto', '@zapier', 'Latacora']",,18.23,339,292,132,0,0,34,34,339.0,723.0,90.0,2.1,0,66.98389
+76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,62941,17471,1637,C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2023-02-21,2016-08-13,340,184.8099832214765,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",2023-02-21,3855,"['apaszke@google', 'ezyang', 'gchanan', 'jerryzh168@facebook', 'malfet', 'pytorchmergebot', 'soumith@facebookairesearch', 'suo', 'zdevito', 'zou3519']",3,10,"['facebook', 'facebookairesearch', 'google']","['@facebook', '@google', 'Facebook AI Research']",,224.5,7890,5476,79,0,5,110,5,7886.0,36088.0,22.0,4.6,0,71.86173
+57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,61974,15472,2145,Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2023-02-21,2010-04-06,672,92.20361317747077,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",2023-02-16,808,"['DasIch@zalandose', 'davidism', 'dependabot-preview[bot]', 'greyli', 'kennethreitz', 'keyan@stripe', 'mitsuhiko@sentry', 'pgjones', 'rduplain', 'untitaker@getsentry']",4,10,"['getsentry', 'sentry', 'stripe', 'zalandose']","['@getsentry ', 'Sentry', 'Zalando SE', 'stripe']",,4.15,126,123,157,0,8,4,8,126.0,130.0,90.0,1.0,0,54.48656
+189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,58219,22051,1348,Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2023-02-21,2013-09-17,492,118.29695210449927,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",2023-02-21,3559,"['Kane610', 'bachya', 'balloob@home-assistant,nabucasa', 'bdraco', 'cdce8p', 'emontnemery', 'epenet', 'fabaff', 'frenck@home-assistanthassio-addons', 'pvizeli@nabucasa']",3,10,"['home-assistant,nabucasa', 'home-assistanthassio-addons', 'nabucasa']","['@NabuCasa', '@home-assistant @hassio-addons', '@home-assistant, @nabucasa']",,233.4,8972,6338,115,0,181,113,181,8971.0,28860.0,22.0,3.2,0,74.08225
+40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,57357,19295,1927,Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2023-02-21,2015-03-28,412,139.02319944598338,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",2023-02-18,1161,"['chenmoneygithub', 'farizrahman4u', 'fchollet', 'gabrieldemarmiesse@preligens', 'haifeng-jin@keras-teamtensorflowgooglers', 'mattdangerw@google', 'ozabluda', 'qlzh727@google', 'taehoonlee@sktelecom', 'tensorflower-gardener']",4,10,"['google', 'keras-teamtensorflowgooglers', 'preligens', 'sktelecom']","['@keras-team @tensorflow @googlers', 'Google', 'Preligens', 'SK Telecom']",,19.67,463,323,96,0,10,9,10,463.0,1009.0,90.0,2.2,0,61.22163
+135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,54734,4530,619,Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2023-02-21,2018-12-08,219,249.2765126870527,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",2023-02-21,415,"['Kludex@encode', 'dependabot[bot]', 'dmontagu@formlogic', 'euri10', 'github-actions[bot]', 'jaystone776', 'mariacamilagl', 'tiangolo', 'tokusumi', 'waynerv']",2,10,"['encode', 'formlogic']","['@encode', 'Formlogic']",,13.67,918,491,51,0,27,35,27,918.0,1925.0,90.0,2.1,0,55.99277
+78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,53008,23961,2159,Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2023-02-21,2010-08-17,653,81.1583552055993,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",2023-02-20,2858,"['agramfort@meta', 'amueller@microsoft', 'glouppe@uliège', 'jnothman@canva', 'larsmans', 'mblondel@googleresearch,brainteam', 'ogrisel@inria', 'pprett', 'thomasjpfan@quansight-labs', 'vene@uvalanguagetechnologylabltl-uva']",8,10,"['canva', 'googleresearch,brainteam', 'inria', 'meta', 'microsoft', 'quansight-labs', 'uliège', 'uvalanguagetechnologylabltl-uva']","['@Quansight-Labs ', 'Canva', 'Google Research, Brain team', 'Inria', 'Meta', 'Microsoft', 'ULiège', 'UvA Language Technology Lab @ltl-uva']",,30.67,965,631,152,0,6,10,6,965.0,2270.0,90.0,2.4,0,68.27998
+399,util,https://github.com/python/cpython,,,,python/cpython,cpython,50776,25865,1472,Python,https://www.python.org/,cpython: The Python programming language,python,2023-02-21,2017-02-10,314,161.33999092147073,[],2023-02-21,2374,"['benjaminp', 'birkenfeld@fzjülich', 'freddrake@keepertech', 'gvanrossum@microsoft', 'jackjansen@centrumvoorwiskundeeninformatica', 'loewis', 'pitrou', 'rhettinger@mutableminds', 'serhiy-storchaka@neu.ro', 'vstinner@redhatofficial']",7,10,"['centrumvoorwiskundeeninformatica', 'fzjülich', 'keepertech', 'microsoft', 'mutableminds', 'neu.ro', 'redhatofficial']","['@RedHatOfficial', '@keepertech ', 'Centrum voor Wiskunde en Informatica', 'FZ Jülich', 'Microsoft', 'Mutable Minds, Inc.', 'Neu.ro']",,66.17,3850,2536,73,0,0,89,89,3845.0,8805.0,90.0,2.3,0,71.46139
+177,web,https://github.com/psf/requests,,,,psf/requests,requests,49080,8971,1354,Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2023-02-21,2011-02-13,627,78.22404371584699,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",2023-01-21,727,"['BraulioVM', 'Lukasa@apple', 'daftshady@marsauto', 'dpursehouse', 'jerem@newlogic', 'jgorset@schibsted', 'kennethreitz', 'nateprewitt@amazonwebservices', 'sigmavirus24@tableau&salesforce', 'slingamn']",6,10,"['amazonwebservices', 'apple', 'marsauto', 'newlogic', 'schibsted', 'tableau&salesforce']","['@marsauto ', '@newlogic', '@schibsted', '@tableau & @salesforce', 'Amazon Web Services', 'Apple']",,0.6,91,62,146,1,3,12,3,91.0,135.0,90.0,1.5,0,50.96412
+80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,46216,9865,1781,Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2023-02-21,2010-02-22,678,68.13647851727043,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest', 'web-scraping', 'web-scraping-python']",2023-02-14,587,"['Gallaecio@scrapinghub', 'curita@scrapinghub', 'dangra@superfly', 'elacuesta', 'eliasdorneles', 'kmike@zytedata,scrapinghub', 'pablohoffman@zytedata(formerlyscrapinghub)', 'redapple', 'void', 'wRAR@zyte']",5,10,"['scrapinghub', 'superfly', 'zyte', 'zytedata(formerlyscrapinghub)', 'zytedata,scrapinghub']","['@superfly ', '@zytedata (formerly @scrapinghub)', '@zytedata, @ScrapingHub', 'Scrapinghub', 'Zyte']",,6.21,199,140,158,0,9,9,9,199.0,368.0,90.0,1.8,0,57.09075
+695,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,43685,12120,1501,Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2023-02-21,2017-12-19,270,161.7107350608144,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",2023-02-21,95,"['Clorr', 'Ganonmaster@transip', 'andenixa', 'bryanlyon@arkavianinc', 'deepfakes', 'gdunstone', 'geewiz94', 'kilroythethird', 'kvrooman', 'torzdf']",2,10,"['arkavianinc', 'transip']","['@transip', 'Arkavian Inc']",,5.54,21,21,63,0,0,1,1,21.0,16.0,90.0,0.8,0,39.40007
+736,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,42441,6653,406,Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2023-02-21,2022-08-10,28,1515.75,[],2022-11-16,8,"['LuChengTHU', 'ablattmann', 'apolinario', 'cpacker@ucberkeley', 'owenvincent', 'patrickvonplaten', 'pesser@runwayml', 'rromb']",2,10,"['runwayml', 'ucberkeley']","['@runwayml ', 'UC Berkeley']",,0.33,201,38,6,3,0,0,0,201.0,293.0,90.0,1.5,0,23.4026
+179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,42127,1496,541,Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2023-02-21,2019-11-10,171,245.74083333333334,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",2023-02-19,207,"['althonos@embl,zellerlab', 'amartya-dev@ohurutech', 'darrenburns', 'davep@davep.org', 'dependabot[bot]', 'evantkchong', 'hedyhli', 'olivierphi@lastmileict', 'toto6038@nationaltaiwannormaluniversity', 'willmcgugan@textualize']",6,10,"['davep.org', 'embl,zellerlab', 'lastmileict', 'nationaltaiwannormaluniversity', 'ohurutech', 'textualize']","['@lastmileICT ', 'EMBL, @zellerlab', 'National Taiwan Normal University', 'Ohuru Tech', 'Textualize', 'davep.org']",,11.48,189,124,40,0,19,45,19,189.0,395.0,90.0,2.1,0,54.80614
+262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,39212,4648,978,Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2023-02-21,2018-12-24,217,180.46285338593032,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",2023-02-17,215,"['Czechball', 'SethFalco@kodify', 'TheYahya@paackeng', 'aristosgi@athensuniversityofbuisnessandeconomics', 'cclauss@christianclauss', 'hoadlck', 'irazasyed@lukonet', 'ptalmeida', 'roopeshvs', 'sdushantha']",5,10,"['athensuniversityofbuisnessandeconomics', 'christianclauss', 'kodify', 'lukonet', 'paackeng']","['@PaackEng', '@kodify', '@lukonet', 'Athens University Of Buisness And Economics', 'Christian Clauss']",,4.08,167,159,51,0,0,0,0,167.0,151.0,90.0,0.9,0,45.86808
+432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,37544,16546,1771,Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2023-02-21,2016-08-10,341,110.09970674486803,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",2018-11-30,17,"['aaronvanderlip', 'choldgraf@ucberkeley', 'fuglede@kvantify', 'habi@instituteofanatomy,unversityofbern,switzerland', 'henrystokeley', 'jackboot7@credijusto', 'jakevdp@google', 'namreg@softswiss', 'ncclementi@coiled', 'vfdev-5@quansight']",8,10,"['coiled', 'credijusto', 'google', 'instituteofanatomy,unversityofbern,switzerland', 'kvantify', 'quansight', 'softswiss', 'ucberkeley']","['@Quansight', '@coiled', '@credijusto ', 'Google', 'Institute of Anatomy, Unversity of Bern, Switzerland', 'Kvantify', 'SoftSwiss', 'UC Berkeley']",,0.0,10,2,80,51,0,0,0,10.0,7.0,90.0,0.7,0,24.51845
+694,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,37460,8390,1056,Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2023-02-21,2018-06-04,246,152.0997679814385,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",2022-12-31,21,"['Auroir', 'ChrisTopherTa54321', 'IMIYOU', 'MaksV79', 'NemirovD', 'TooMuchFun', 'andenixa', 'iperov', 'lbfs', 'sergeevii123']",0,10,[],[],,0.19,60,16,57,2,0,0,0,60.0,67.0,90.0,1.1,0,24.04501
+59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,36929,15788,1109,Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2023-02-21,2010-08-24,652,56.62716319824754,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",2023-02-21,3235,"['TomAugspurger@microsoft', 'cpcloud@voltrondata', 'gfyoung', 'jbrockmendel', 'jorisvandenbossche', 'jreback', 'mroeschke@rapidsai', 'phofl@d-finegmbh', 'simonjayhawkins', 'wesm@voltrondata']",4,10,"['d-finegmbh', 'microsoft', 'rapidsai', 'voltrondata']","['@microsoft', '@rapidsai ', '@voltrondata', 'd-fine GmbH']",,48.52,2484,1788,152,0,9,13,9,2481.0,5545.0,90.0,2.2,0,68.25003
+838,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,36902,6920,364,Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2023-02-21,2022-08-22,26,1403.8804347826087,[],2023-02-20,352,"['36DB', 'AUTOMATIC1111', 'C43H66N12O12S2', 'R-N', 'brkirch', 'd8ahazard', 'dfaker', 'dtlnor', 'mezotaken', 'yfszzx']",0,10,[],[],,55.06,2991,1776,6,0,1,2,1,2991.0,9276.0,90.0,3.1,0,45.75582
+64,util,https://github.com/psf/black,,,,psf/black,black,31408,2026,229,Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2023-02-21,2018-03-14,258,121.73643410852713,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",2023-02-14,360,"['JelleZijlstra@quora', 'ambv@psf', 'cooperlees@clc', 'dependabot[bot]', 'felix-hilden', 'hugovk@nordsoftware', 'ichard26', 'isidentical@fal-ai', 'yilei', 'zsol@facebook']",6,10,"['clc', 'facebook', 'fal-ai', 'nordsoftware', 'psf', 'quora']","['@facebook ', '@fal-ai', '@psf', '@quora ', 'CLC', 'Nord Software']",,4.63,309,178,60,0,7,9,7,309.0,589.0,90.0,1.9,0,54.61606
+220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,30674,2712,384,Roff,,pyenv: Simple Python version management,pyenv,2023-02-21,2012-08-31,546,56.106088319832764,"['python', 'shell']",2023-02-15,410,"['Samureus@meluria', 'anton-petrov', 'blueyed@freelancer,upforhire', 'cclauss@christianclauss', 'josh', 'joshfriend@squareup', 'mislav', 'native-api', 'sstephenson', 'yyuu@treasuredata']",5,10,"['christianclauss', 'freelancer,upforhire', 'meluria', 'squareup', 'treasuredata']","['@squareup ', 'Christian Clauss', 'Freelancer, up for hire', 'Meluria', 'Treasure Data Inc.']",,4.0,137,124,128,0,15,13,15,137.0,286.0,90.0,2.1,0,56.40938
+55,sim,https://github.com/openai/gym,,,,openai/gym,gym,30067,8235,1013,Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2023-02-21,2016-04-27,356,84.45786516853933,[],2023-01-30,384,"['christopherhesse@openai', 'gdb', 'jietang', 'jkterry1', 'jonasschneider', 'joschu', 'pseudo-rnd-thoughts', 'pzhokhov', 'tlbtlbtlb@umbrellaresearch', 'zuoxingdong@navercorp']",3,10,"['navercorp', 'openai', 'umbrellaresearch']","['NAVER Corp', 'OpenAI', 'Umbrella Research']",,4.52,47,27,83,1,10,8,10,47.0,150.0,90.0,3.2,0,50.66956
+963,security,https://github.com/certbot/certbot,,,,certbot/certbot,certbot,29653,3324,763,Python,,Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.,certbot,2023-02-21,2014-11-12,432,68.64120370370371,"['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt', 'python']",2023-02-16,508,"['SwartzCr', 'adferrand@amadeusitgroupefforgecomundo-eu', 'alexzorin', 'bmw@electronicfrontierfoundation', 'jdkasten@google', 'joohoi', 'jsha', 'kuba', 'ohemorange', 'pde@efforg']",4,10,"['amadeusitgroupefforgecomundo-eu', 'efforg', 'electronicfrontierfoundation', 'google']","['@AmadeusITGroup @EFForg @EcoMundo-EU', '@EFForg ', 'Electronic Frontier Foundation', 'Google']",,4.75,181,120,101,0,14,15,14,181.0,281.0,90.0,1.6,0,55.23174
+118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,29215,11960,761,Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2023-02-21,2015-04-13,410,71.20647632311977,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",2023-02-21,2732,"['ashb@astronomer.io', 'bolkedebruin', 'ephraimbuddy@astronomerio', 'jedcunningham@astronomer', 'jlowin@prefecthq', 'kaxil@astronomer', 'mik-laj@snowflakedb', 'mistercrunch@preset-io', 'potiuk@apachesoftwarefoundation', 'turbaszek@snowflakedb']",7,10,"['apachesoftwarefoundation', 'astronomer', 'astronomer.io', 'astronomerio', 'prefecthq', 'preset-io', 'snowflakedb']","['@PrefectHQ ', '@Snowflakedb', '@astronomer', '@astronomer ', 'Apache Software Foundation', 'Astronomer.io', 'Astronomerio', 'preset-io']",,69.88,2140,1680,96,0,17,352,17,2141.0,5002.0,90.0,2.3,0,71.19137
+592,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27871,1711,347,Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2023-02-21,2020-02-02,159,174.81810035842295,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",2023-01-13,127,"['Slach@altinity', 'bdsoha@kloudkit', 'dependabot[bot]', 'gabriel-tessier@luxeys', 'guyzyl', 'hagaishapira@torqio', 'leandrodamascena@aws', 'mingrammer@daangn', 'nlamirault@swan', 'yu-iskw']",7,10,"['altinity', 'aws', 'daangn', 'kloudkit', 'luxeys', 'swan', 'torqio']","['@aws', '@daangn ', '@torqio', 'Altinity', 'KloudKIT', 'Luxeys', 'Swan']",,1.25,91,40,37,1,4,13,4,91.0,82.0,90.0,0.9,0,43.49369
+257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,27328,6698,940,JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2023-02-21,2017-05-14,301,90.66161137440758,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",2023-02-21,723,"['Dan-krm', 'carlosmiei', 'frosty00@ccxt', 'kroitor@ccxt', 'mkutny', 'ndubel', 'npomfret', 'samgermain@ccxt', 'sc0Vu', 'ttodua']",1,10,['ccxt'],"['@ccxt', 'CCXT']",,202.52,1460,1142,70,0,0,89,89,1460.0,2188.0,90.0,1.5,0,60.7662
+245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,26636,4095,393,Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2023-02-21,2021-03-19,100,264.4709219858156,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",2022-09-16,11,"['AK391@huggingface', 'Wscats@tencent', 'amckenna41', 'bramton', 'chenxwh', 'darbazali@gatewayict', 'mdanish-kh@xflowresearch', 'mostafavtp', 'tuhins', 'xinntao@tencent']",4,10,"['gatewayict', 'huggingface', 'tencent', 'xflowresearch']","['@Tencent ', 'Gateway ICT', 'Huggingface', 'Tencent', 'xFlow Research Inc.']",,0.44,43,10,23,5,3,8,3,43.0,56.0,90.0,1.3,0,29.06059
+677,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25535,5488,960,Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2023-02-21,2017-10-05,280,90.91810783316379,[],2021-03-27,40,"['Juggernaut93', 'KaimingHe@facebook', 'ashwinb', 'bddppq', 'ir413@ucberkeley', 'newstzpz', 'rbgirshick@ucberkeley', 'seanbell@grokstyle', 'shenyunhang', 'smessmer']",3,10,"['facebook', 'grokstyle', 'ucberkeley']","['Facebook', 'GrokStyle Inc.', 'UC Berkeley']",,0.02,12,1,66,0,0,0,0,12.0,4.0,90.0,0.3,0,30.77211
+17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,25292,4027,547,Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2023-02-21,2014-07-03,450,56.09759188846641,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",2023-02-16,715,"['adrianeboyd', 'geovedi', 'github-actions[bot]', 'henningpeters', 'honnibal@founderexplosion', 'ines@founderexplosion', 'jimregan', 'polm@cotonoha', 'svlandeg@explosion&oxykodit', 'syllog1sm@founderexplosion']",3,10,"['cotonoha', 'explosion&oxykodit', 'founderexplosion']","['Cotonoha', 'Explosion & OxyKodit', 'Founder @explosion', 'Founder @explosion ']",,8.62,351,304,105,0,19,16,19,351.0,579.0,90.0,1.6,0,57.65784
+917,ml-ops,https://github.com/ray-project/ray,,,,ray-project/ray,ray,24206,4209,441,Python,https://ray.io,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.,ray-project,2023-02-21,2016-10-25,330,73.31977498918218,"['ray', 'distributed', 'parallel', 'machine-learning', 'reinforcement-learning', 'deep-learning', 'python', 'rllib', 'hyperparameter-search', 'optimization', 'data-science', 'automl', 'hyperparameter-optimization', 'model-selection', 'java', 'serving', 'deployment', 'pytorch', 'tensorflow']",2023-02-21,818,"['edoakes@universityofcalifornia,berkeley', 'ericl@anyscale', 'krfricke', 'pcmoritz@anyscale', 'richardliaw@anyscale', 'rkooo567@anyscale,softwareengineer', 'robertnishihara@anyscale', 'simon-mo', 'stephanie-wang', 'sven1977@anyscale.com']",4,10,"['anyscale', 'anyscale,softwareengineer', 'anyscale.com', 'universityofcalifornia,berkeley']","['@anyscale', 'Anyscale', 'Anyscale, Software Engineer', 'University of California, Berkeley', 'anyscale.com']",,86.58,3479,2185,77,0,9,11,9,3481.0,5325.0,90.0,1.5,0,63.67163
+501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,24146,11653,631,Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2023-02-21,2019-01-08,215,112.2324037184595,[],2023-02-04,75,"['ChrisQlasty', 'ageron', 'alexdombos', 'gsundeep-tech', 'ibeauregard', 'mbreemhaar@verifai', 'nbgraham', 'pizzaz93', 'rickiepark', 'ziembla']",1,10,['verifai'],['Verifai'],,0.15,10,5,50,1,0,0,0,11.0,14.0,90.0,1.3,0,29.97508
+163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,24051,1222,208,Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2023-02-21,2015-06-03,403,59.67990074441688,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",2022-09-03,112,"['altendky', 'casperdcl', 'hadim@valence', 'kmike@zytedata,scrapinghub', 'lrq3000@giga-consciousness-comasciencegroup-university&hospitalofliège', 'mbargull', 'nishnash54@flockfreight', 'noamraph', 'obiwanus', 'richardsheridan']",4,10,"['flockfreight', 'giga-consciousness-comasciencegroup-university&hospitalofliège', 'valence', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Flock Freight', 'GIGA-Consciousness - Coma Science Group - University & Hospital of Liège', 'Valence']",,0.48,56,9,94,6,5,20,5,55.0,41.0,90.0,0.7,0,37.85303
+26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,23949,1364,383,Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2023-02-21,2017-02-21,313,76.4794708029197,"['python', 'cli']",2023-02-13,59,"['MichaelCG8', 'dbieber@googlebrain', 'hugovk@nordsoftware', 'jacobaustin123@google', 'jaredtrog', 'jgarst', 'joejoevictor@google', 'jtratner', 'rchen152', 'saurabhkpatel@syracuseuniversity']",4,10,"['google', 'googlebrain', 'nordsoftware', 'syracuseuniversity']","['Google', 'Google Brain', 'Nord Software', 'Syracuse University']",,0.52,54,35,73,0,1,2,1,54.0,77.0,90.0,1.4,0,40.67284
+103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23781,8545,926,C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2023-02-21,2014-02-06,471,50.39872842870118,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",2023-02-17,593,"['CodingCat@safegraph', 'RAMitchell@nvidia', 'hcho3@nvidia', 'hetong007@amazonai', 'khotilov@cerner', 'pommedeterresautee@els-rdlefebvresarrut', 'rongou@nvidia', 'terrytangyuan@akuity', 'tqchen@cmu,octoml', 'trivialfis@nvidia']",7,10,"['akuity', 'amazonai', 'cerner', 'cmu,octoml', 'els-rdlefebvresarrut', 'nvidia', 'safegraph']","['@ELS-RD Lefebvre Sarrut', '@NVIDIA', '@akuity', 'Amazon AI', 'CMU, OctoML', 'Cerner', 'NVIDIA', 'Nvidia', 'SafeGraph']",,10.02,418,345,110,0,10,5,10,418.0,626.0,90.0,1.5,0,59.86101
+646,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,23738,1906,184,Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2023-02-21,2018-02-28,260,91.3,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",2023-02-17,436,"['Secrus', 'abn', 'branchvincent', 'dimbleby', 'finswimmer', 'mkniewallner@backmarket', 'neersighted@mirantis', 'pre-commit-ci[bot]', 'radoering', 'sdispater']",2,10,"['backmarket', 'mirantis']","['@BackMarket ', '@Mirantis']",,13.42,658,443,61,1,13,24,13,659.0,1725.0,90.0,2.6,0,53.99236
+678,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23636,6452,365,Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2023-02-21,2019-09-05,180,130.68878357030016,[],2023-02-17,234,"['MarcSzafraniec', 'alexander-kirillov@facebookairesearch', 'bowenc0221', 'chenbohua3', 'lyttonhao', 'patricklabatut@facebook', 'ppwwyyxx', 'vkhalidov', 'wat3rBro', 'wenliangzhao2018']",2,10,"['facebook', 'facebookairesearch']","['Facebook', 'Facebook AI Research']",,1.75,203,153,42,0,0,3,3,203.0,278.0,90.0,1.4,0,44.76215
+289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,23631,3909,299,Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2023-02-21,2019-02-02,211,111.69277515192438,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",2023-02-21,93,"['ChristophReich1996@technicaluniversityofdarmstadt', 'VRandme@independent', 'alexander-soare', 'amaarora@weights&biases', 'fffffgggg54', 'kaczmarj@stonybrookmedicine', 'michalwols', 'mrT23', 'nateraw@huggingface', 'rwightman']",5,10,"['huggingface', 'independent', 'stonybrookmedicine', 'technicaluniversityofdarmstadt', 'weights&biases']","['@huggingface', 'Stony Brook Medicine', 'Technical University of Darmstadt', 'Weights & Biases', 'independent']",,7.12,105,78,49,0,11,10,11,105.0,180.0,90.0,1.7,0,49.39281
+550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,23042,8362,361,Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2023-02-21,2018-08-22,235,98.05106382978724,"['object-detection', 'instance-segmentation', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch', 'panoptic-segmentation', 'rtmdet', 'semisupervised-learning', 'swin-transformer', 'transformer', 'vision-transformer', 'yolo', 'convnext', 'detr']",2023-02-01,390,"['AronLin@open-mmlab', 'BIGWangYuDong', 'OceanPang@shanghaiailaboratory', 'RangiLyu@shanghaiartificialintelligencelaboratory', 'ZwwWayne@mmlab,ntu', 'hellock@open-mmlab', 'hhaAndroid@nuaa', 'jshilong@shanghaiailab', 'xvjiarui@ucsd', 'yhcao6@cuhk,mmlab']",8,10,"['cuhk,mmlab', 'mmlab,ntu', 'nuaa', 'open-mmlab', 'shanghaiailab', 'shanghaiailaboratory', 'shanghaiartificialintelligencelaboratory', 'ucsd']","['@open-mmlab', '@open-mmlab ', 'CUHK, MMLab', 'MMLab, NTU', 'Shanghai AI Lab', 'Shanghai AI Laboratory', 'Shanghai Artificial Intelligence Laboratory', 'UCSD', 'nuaa']",,4.38,639,463,55,1,18,12,18,639.0,830.0,90.0,1.3,0,55.80078
+86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,22762,2028,284,Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2023-02-21,2019-08-24,182,124.67449139280126,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",2023-02-17,166,"['AnOctopus@streamlit', 'aaj-st', 'jrhone', 'kantuni', 'karriebear', 'kmcgrady', 'tconkling@independent', 'treuille@streamlit', 'tvst@streamlit', 'vdonato@streamlit']",2,10,"['independent', 'streamlit']","['@streamlit', '@streamlit ', 'Streamlit', 'independent']",,12.81,649,412,43,0,22,341,22,650.0,923.0,90.0,1.4,0,51.22655
+54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22742,7766,573,Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2023-02-21,2010-09-13,649,35.02618261826183,"['numpy', 'python']",2023-02-21,1584,"['BvB93@vuamsterdam', 'charris@retired', 'cournape@mercarijp', 'eric-wieser@universityofcambridge', 'mattip@quansightlabs', 'pearu@quansight', 'pv', 'rgommers@quansight', 'seberg', 'teoliphant@quansight,openteams']",7,10,"['mercarijp', 'quansight', 'quansight,openteams', 'quansightlabs', 'retired', 'universityofcambridge', 'vuamsterdam']","['Mercari JP', 'Quansight', 'Quansight Labs', 'Quansight, OpenTeams', 'Retired', 'University of Cambridge', 'VU Amsterdam']",,30.06,1008,759,151,0,17,18,17,1008.0,2800.0,90.0,2.8,0,68.35448
+689,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22685,11254,596,Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2023-02-21,2017-10-19,278,81.3498975409836,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",2019-03-31,47,"['Borda@grid.ai|pytorchlightning', 'Cpruce', 'JNingWei@alibaba', 'akTwelve', 'gakarak@uiipnasb', 'keineahnung2345', 'maxfrei750@universityofduisburg-essen', 'philferriere@freelance', 'ps48@aws,opensearch-project', 'waleedka@apple']",7,10,"['alibaba', 'apple', 'aws,opensearch-project', 'freelance', 'grid.ai|pytorchlightning', 'uiipnasb', 'universityofduisburg-essen']","['@aws, @opensearch-project ', 'Alibaba', 'Apple', 'Freelance', 'Grid.ai | PytorchLightning', 'UIIP NASB', 'University of Duisburg-Essen']",,0.0,69,15,65,48,0,1,1,69.0,82.0,90.0,1.2,0,31.05883
+649,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,22182,4436,641,Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2023-02-21,2016-11-17,326,67.8645104895105,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",2022-11-12,193,"['SaadBenn', 'ankit167@gojek', 'christianbender', 'geon0325@kaist', 'goswami-rahul@google', 'keon', 'nickolaswiebe', 'ofek@datadog', 'quang2705', 'yunshuipiao']",4,10,"['datadog', 'gojek', 'google', 'kaist']","['@datadog', 'GoJek', 'Google', 'KAIST']",,0.25,14,7,76,3,0,0,0,14.0,2.0,90.0,0.1,0,33.7948
+183,ml,https://github.com/google/jax,,,,google/jax,jax,21986,2065,309,Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2023-02-21,2018-10-25,225,97.34471853257432,['jax'],2023-02-21,507,"['apaszke@google', 'froystig@googleresearch,brainteam', 'gnecula@google', 'hawkinsp@google', 'jakevdp@google', 'mattjj@google', 'sharadmv@google', 'shoyer@google', 'skye', 'yashk2810@google']",2,10,"['google', 'googleresearch,brainteam']","['@Google', '@google', '@google ', 'Google', 'google research, brain team']",,53.63,1211,918,53,0,39,38,39,1214.0,1238.0,90.0,1.0,0,57.63921
+252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,21623,2751,229,Python,https://lightning.ai,"lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast.",pytorchlightning,2023-02-21,2019-03-31,203,106.29283707865169,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",2023-02-20,831,"['Borda@grid.ai|pytorchlightning', 'akihironitta@lightning-ai', 'ananthsub', 'awaelchli@lightningai', 'carmocca@lightning-ai', 'dependabot[bot]', 'kaushikb11@lightning-ai', 'rohitgr7@current:opentowork|previouslylightning-ai,episource', 'tchaton@lightning.ai|pytorchlightning', 'williamFalcon@lightningai']",5,10,"['current:opentowork|previouslylightning-ai,episource', 'grid.ai|pytorchlightning', 'lightning-ai', 'lightning.ai|pytorchlightning', 'lightningai']","['@Lightning-AI', '@Lightning-AI ', 'Current: Open to work | Previously @Lightning-AI, @EpisourceLLC', 'Grid.ai | PytorchLightning', 'Lightning AI', 'Lightning.ai | Pytorch Lightning']",,43.12,1283,995,47,0,42,46,42,1284.0,2015.0,90.0,1.6,0,62.95876
+952,ml,https://github.com/lutzroeder/netron,,,,lutzroeder/netron,netron,21366,2399,274,JavaScript,https://netron.app,"netron: Visualizer for neural network, deep learning, and machine learning models",lutzroeder,2023-02-21,2010-12-26,634,33.67755010132853,"['neural-network', 'deep-learning', 'machine-learning', 'deeplearning', 'machinelearning', 'ai', 'ml', 'visualizer', 'onnx', 'keras', 'tensorflow', 'tensorflow-lite', 'coreml', 'caffe', 'caffe2', 'mxnet', 'pytorch', 'torch', 'paddle', 'darknet']",2023-02-20,1,['lutzroeder@microsoft'],1,10,['microsoft'],['@microsoft'],,23.1,90,78,148,0,3,0,3,90.0,88.0,90.0,1.0,0,34.04759
+90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,20978,5489,1004,Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2023-02-21,2009-09-09,702,29.883190883190885,"['python', 'asynchronous']",2023-02-17,435,"['ajdavis@mongodb', 'alekstorm@flexport', 'bdarnell', 'finiteloop', 'minrk@simularesearchlaboratory', 'mivade@ascendanalytics', 'pitrou', 'ploxiln@healthbyro', 'takluyver', 'wolever@sheertex']",6,10,"['ascendanalytics', 'flexport', 'healthbyro', 'mongodb', 'sheertex', 'simularesearchlaboratory']","['@HealthByRo ', '@mongodb ', 'Ascend Analytics', 'Flexport, Inc.', 'Sheertex', 'Simula Research Laboratory']",,1.79,60,41,164,0,0,5,5,60.0,96.0,90.0,1.6,0,52.52141
+8,perf,https://github.com/celery/celery,,,,celery/celery,celery,20971,4434,475,Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2023-02-21,2009-04-24,721,29.057205067300078,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",2023-02-19,1263,"['Nusnus@katz-consulting-group,celery', 'ask@robinhoodmarkets', 'auvipy@celerypsfapacheencode', 'ionelmc', 'maybe-sybr', 'mher', 'nvie@liveblocks', 'piotrmaslanka@smok.co', 'pre-commit-ci[bot]', 'thedrow']",5,10,"['celerypsfapacheencode', 'katz-consulting-group,celery', 'liveblocks', 'robinhoodmarkets', 'smok.co']","['@Celery @PSF @apache @encode', '@Katz-Consulting-Group, @celery', '@liveblocks', '@robinhoodmarkets ', 'smok.co']",,5.21,385,122,168,0,7,17,7,385.0,465.0,90.0,1.2,0,57.88888
+75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,20949,5235,356,Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2023-02-21,2017-08-29,286,73.21168247628557,"['python', 'pytorch', 'artificial-intelligence']",2023-02-09,413,"['alexeib@characterai', 'cndn@facebook', 'dianaml0', 'edunov@facebookairesearch', 'kahne@facebookresearch', 'myleott', 'sravyapopuri388', 'sshleifer@facebookresearch', 'tangyuq@alexaai', 'theweiho']",5,10,"['alexaai', 'characterai', 'facebook', 'facebookairesearch', 'facebookresearch']","['@facebook', '@facebookresearch', 'Alexa AI', 'Character AI', 'Facebook AI Research']",,2.96,204,81,67,0,3,3,3,204.0,188.0,90.0,0.9,0,50.04934
+255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20799,4462,595,Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2023-02-21,2017-05-17,301,69.09966777408638,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",2023-02-20,290,"['dependabot-preview[bot]', 'dependabot[bot]', 'hroff-1902@freqtradecoredev;frizzleapps/whatsitwhatsit', 'mishaker', 'pyup-bot@pyupio', 'robcaulk@emergentmethods', 'samgermain@ccxt', 'shusso', 'vertti@polarsquad', 'xmatthias']",5,10,"['ccxt', 'emergentmethods', 'freqtradecoredev;frizzleapps/whatsitwhatsit', 'polarsquad', 'pyupio']","['@pyupio', 'CCXT', 'Emergent Methods', 'Freqtrade core dev; FrizzleApps/Whatsitwhatsit', 'Polar Squad']",,62.81,468,438,70,0,17,13,17,469.0,1281.0,90.0,2.7,0,61.1575
+45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20705,2636,434,Python,,locust: Scalable load testing tool written in Python,locustio,2023-02-21,2011-02-17,626,33.02985414767548,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",2023-02-18,277,"['HeyHugo@5m', 'Jahaja@embarkstudios', 'Trouv', 'ajt89', 'cgbystrom@epicgames/epicgames', 'cyberw@redshirtconsultingab', 'heyman@heylab', 'max-rocket-internet@deliveryhero', 'mbeacom@aws', 'mboutet']",7,10,"['5m', 'aws', 'deliveryhero', 'embarkstudios', 'epicgames/epicgames', 'heylab', 'redshirtconsultingab']","['@5m ', '@EmbarkStudios', '@aws', 'Delivery Hero', 'Epic Games / @EpicGames', 'Heylab', 'Red Shirt Consulting AB']",,7.62,62,54,146,0,19,9,19,62.0,136.0,90.0,2.2,0,57.09268
+273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,20578,4291,502,C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2023-02-21,2019-06-13,192,106.70074074074074,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",2023-02-19,28,"['NikolayChirkov@googleinc', 'acozzette@google', 'camillol', 'khanhlvg@google', 'kinaryml', 'kuaashish', 'markmcd@google', 'priankakariatyml', 'schmidt-sebastian', 'ziyeqinghan@google']",2,10,"['google', 'googleinc']","['@google ', 'Google', 'Google Inc']",,19.75,475,319,45,0,5,12,5,476.0,1542.0,90.0,3.2,0,46.77753
+2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20257,6873,1089,C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2023-02-21,2015-04-30,407,49.666900175131346,['mxnet'],2023-01-26,981,"['antinucleon@facebook', 'eric-haibin-lin@ex-awsai,bytedanceaml', 'leezu@amazonwebservices', 'mli@amazon', 'piiswrong@universityofwashington', 'pluskid@mit', 'szha@amazonai', 'tqchen@cmu,octoml', 'vchuravy@mit', 'yzhliu@amazonwebservices']",8,10,"['amazon', 'amazonai', 'amazonwebservices', 'cmu,octoml', 'ex-awsai,bytedanceaml', 'facebook', 'mit', 'universityofwashington']","['@mit', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'CMU, OctoML', 'Facebook', 'MIT', 'University of Washington', 'ex-AWS AI, Bytedance AML']",,1.94,57,23,95,1,4,6,4,57.0,70.0,90.0,1.2,0,52.36291
+607,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,20072,2276,738,Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2023-02-20,2017-03-01,312,64.33333333333333,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",2023-02-08,44,"['Carreau@quansight-labs', 'Naereen', 'alexrkopp', 'ghurley', 'mco-gh@googlecloudplatform', 'norvig@google', 'pathcl', 'ramalho@thoughtworksthoughtworksinc', 'rmeertens', 'vladimirlojanica']",4,10,"['google', 'googlecloudplatform', 'quansight-labs', 'thoughtworksthoughtworksinc']","['@GoogleCloudPlatform ', '@Quansight-Labs', '@thoughtworks @ThoughtWorksInc ', 'Google']",,1.44,4,3,73,0,0,0,0,4.0,1.0,90.0,0.2,0,33.33224
+409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,19937,3021,645,C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2023-02-21,2014-05-19,457,43.59856294907841,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",2023-02-18,627,"['CasperN', 'TGIshib', 'aardappel@voxraygames', 'bjornharrtell@septima', 'dbaileychess@google', 'krojew', 'paulovap@bookingcom', 'rw@cto', 'vaind', 'vglavnyy']",5,10,"['bookingcom', 'cto', 'google', 'septima', 'voxraygames']","['@Septima', '@bookingcom', 'CTO', 'Google', 'VoxRay Games']",,7.1,222,153,107,0,13,4,13,222.0,445.0,90.0,2.0,0,58.22131
+350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19617,4910,731,C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2023-02-21,2016-08-15,340,57.64861460957179,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",2023-02-21,923,"['JiayiFeng', 'dzhwinter@baidu', 'gangliao@tiktok', 'jacquesqiao@baidubdg/idl/dltp', 'luotao1@paddlepaddle', 'qingqing01', 'reyoung@tencent', 'sneaxiy', 'tensor-tang', 'velconia@baiduaigroup']",6,10,"['baidu', 'baiduaigroup', 'baidubdg/idl/dltp', 'paddlepaddle', 'tencent', 'tiktok']","['@PaddlePaddle ', 'Baidu', 'Baidu AI Group', 'Baidu BDG/IDL/DLTP', 'Tencent', 'TikTok']",,110.25,4560,3726,79,0,6,11,6,4558.0,5534.0,90.0,1.2,0,65.50145
+232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,18960,1787,231,Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2023-02-21,2013-07-14,501,37.81196581196581,"['python', 'cookiecutter']",2022-09-09,285,"['audreyfeldroy@margaritahumanitarian', 'freakboy3742', 'hackebrot@mozilla', 'insspb', 'jensens@klein&partnerkgandbluedynamics', 'michaeljoseph', 'pfmoore', 'pydanny@octoenergy', 'simobasso@ovalmoney', 'ssbarnea@redhatansible']",6,10,"['klein&partnerkgandbluedynamics', 'margaritahumanitarian', 'mozilla', 'octoenergy', 'ovalmoney', 'redhatansible']","['@OvalMoney ', '@margaritahumanitarian', '@mozilla', '@octoenergy ', 'Klein & Partner KG and  @bluedynamics ', 'Red Hat @ansible']",,3.0,64,10,117,6,2,3,2,64.0,74.0,90.0,1.2,0,44.30751
+789,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18877,13983,1470,Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2023-02-21,2012-06-30,555,33.97762921059398,[],2022-11-03,9,"['ColdFire87', 'betatim@nvidia', 'crwilcox@googlecloud', 'kmather73', 'mbiesiad', 'rothwerx', 'thisizkp@vndly', 'wesm@voltrondata', 'y33-j3T@two-little-epochs']",5,10,"['googlecloud', 'nvidia', 'two-little-epochs', 'vndly', 'voltrondata']","['@two-little-epochs ', '@voltrondata', 'Google Cloud', 'Nvidia ', 'VNDLY']",,0.13,3,3,130,4,0,0,0,3.0,4.0,90.0,1.3,0,28.62547
+186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18856,2577,222,TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2023-02-21,2018-07-24,239,78.84826762246117,"['latex', 'deep-neural-networks']",2020-11-06,13,"['Alyetama', 'Brandon-HY-Lin', 'HarisIqbal88', 'StevenShi-23@nationaluniversityofsingapore', 'jackyko1991@universityofoxford', 'lukasliebel@tensoreye,technicaluniversityofmunich', 'mbrukman@google', 'pedrodiamel@cesarbr', 'weiji14@developmentseed', 'weslynn']",6,10,"['cesarbr', 'developmentseed', 'google', 'nationaluniversityofsingapore', 'tensoreye,technicaluniversityofmunich', 'universityofoxford']","['@CESARBR', '@Google', '@developmentseed', 'National University of Singapore', 'Tensoreye, Technical University of Munich', 'University of Oxford']",,0.0,6,2,56,28,0,0,0,6.0,3.0,90.0,0.5,0,22.31841
+187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18576,2804,262,Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2023-02-21,2016-11-22,326,56.95663600525624,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",2022-06-16,205,"['QuentinAmbard', 'RAMitchell@nvidia', 'anusham1990', 'dependabot[bot]', 'floidgilbert', 'gabrieltseng@mila-iqia', 'imatiach-msft@microsoft', 'ryserrao', 'slundberg@microsoftresearch', 'vivekchettiar@microsoft']",4,10,"['microsoft', 'microsoftresearch', 'mila-iqia', 'nvidia']","['@mila-iqia', 'Microsoft', 'Microsoft Research', 'Nvidia']",,1.88,152,22,76,8,1,8,1,152.0,135.0,90.0,0.9,0,39.28205
+763,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,18200,1965,185,Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2023-02-21,2021-07-19,83,218.52487135506004,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",2022-09-20,11,"['AK391@huggingface', 'Asiimoviet', 'Jared-02', 'NayamAmarshe@$shell', 'ToTheBeginning@tencent', 'cclauss@christianclauss', 'cobanov@refikanadolstudio', 'pratikgl@housinghq', 'rogachevai@vk|hse', 'xinntao@tencent']",7,10,"['$shell', 'christianclauss', 'housinghq', 'huggingface', 'refikanadolstudio', 'tencent', 'vk|hse']","['$SHELL', '@RefikAnadolStudio ', '@housinghq', 'Christian Clauss', 'Huggingface', 'Tencent', 'VK | HSE']",,0.6,99,13,19,5,2,12,2,99.0,93.0,90.0,0.9,0,30.50811
+61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,18119,1845,410,Python,https://plotly.com/dash,dash: Data Apps & Dashboards for Python. No JavaScript Required.,plotly,2023-02-21,2015-04-10,410,44.115826086956524,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",2023-02-15,132,"['AnnMarieW@nostarchpress-thebookofdash', 'HammadTheOne', 'Marc-Andre-Rivet@plotly', 'T4rk1n', 'alexcjohnson', 'byronz', 'chriddyp@plotly', 'rmarren1', 'rpkyle', 'valentijnnieman']",2,10,"['nostarchpress-thebookofdash', 'plotly']","['@plotly ', 'No Starch Press - The Book of Dash', 'Plotly']",,11.44,156,80,96,0,12,11,12,156.0,180.0,90.0,1.2,0,48.86529
+931,nlp,https://github.com/acheong08/chatgpt,,,,acheong08/chatgpt,ChatGPT,18011,2728,198,Python,,ChatGPT: Reverse engineered ChatGPT API,acheong08,2023-02-21,2022-12-03,11,1556.5061728395062,"['chatgpt', 'cli', 'library', 'pypi-package', 'gptchat', 'revchatgpt']",2023-02-21,77,"['DiamondDemon669', 'Harry-Jing', 'Jamminroot@deeplay.io', 'MonsterDruide1', 'PyRo1121@bankofamerica', 'acheong08', 'robbiebusinessacc', 'scottleibrand@netskope', 'skippyyy', 'snowmeow2']",3,10,"['bankofamerica', 'deeplay.io', 'netskope']","['Bank of America', 'Deeplay.io', 'Netskope, Inc.']",,16.37,700,695,3,0,141,604,141,700.0,3921.0,90.0,5.6,0,50.03437
+228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,17792,521,158,Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2023-02-21,2021-04-08,97,181.8160583941606,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",2023-02-21,69,"['aaronst@mandiant', 'darrenburns', 'davep@davep.org', 'driscollis', 'lllama@nccgroup', 'nitzan-shaked', 'olivierphi@lastmileict', 'overflowy', 'rodrigogiraoserrao', 'willmcgugan@textualize']",5,10,"['davep.org', 'lastmileict', 'mandiant', 'nccgroup', 'textualize']","['@lastmileICT ', '@mandiant', 'NCC Group', 'Textualize', 'davep.org']",,71.12,588,485,23,0,19,14,19,589.0,1138.0,90.0,1.9,0,54.15102
+107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,17554,5525,505,Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2023-02-21,2016-03-21,361,48.58758402530645,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",2023-02-21,107,"['AtsushiSakai', 'Gjacquenot', 'araffin@dlr-rm', 'daniel-s-ingram@torcrobotics', 'dependabot[bot]', 'drewtu2', 'goktug97@idealworks', 'guilyx@tiiuae', 'karanchawla', 'takayuki5168@tier4']",5,10,"['dlr-rm', 'idealworks', 'tier4', 'tiiuae', 'torcrobotics']","['@DLR-RM', '@idealworks', '@tier4', '@tiiuae', 'Torc Robotics']",,2.04,45,43,84,0,0,0,0,45.0,14.0,90.0,0.3,0,40.88796
+349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,17391,2035,192,Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2023-02-21,2020-02-13,157,110.16923076923077,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",2023-02-20,163,"['JoanFM@jina-ai', 'alaeddine-13', 'alexcg1@jina-ai', 'bwanglzu@jina-ai', 'cristianmtr', 'deepankarm@jina-ai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'maximilianwerk', 'nan-wang@jinaai']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', '@jina-ai ', 'Jina AI']",,20.96,310,281,37,0,108,121,108,310.0,713.0,90.0,2.3,0,52.4715
+6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,17253,4037,448,Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2023-02-21,2012-03-26,569,30.306398996235885,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",2023-02-21,635,"['Maggie-M@continuumanalytics', 'almarklein@independentsoftwareengineer', 'bryevdv@nvidia', 'canavandl', 'canavandl-test', 'damianavila', 'fpliger', 'havocp', 'mattpap', 'paddymul@independent']",4,10,"['continuumanalytics', 'independent', 'independentsoftwareengineer', 'nvidia']","['Continuum Analytics, Inc.', 'Independent', 'Independent software engineer', 'Nvidia']",,8.38,305,177,133,0,0,10,10,305.0,574.0,90.0,1.9,0,57.63469
+144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,17116,4330,598,Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2023-02-21,2019-02-11,210,81.39402173913044,['paper'],2020-12-02,16,"['ArmaanBhullar', 'GitHub30', 'WuTheFWasThat', 'albertwujj', 'christopherhesse@openai', 'imgntn', 'jackclarksf', 'madisonmay@indicodatasolutions', 'natemurthy', 'webproduktion01']",2,10,"['indicodatasolutions', 'openai']","['@IndicoDataSolutions ', 'OpenAI']",,0.0,8,2,49,27,0,0,0,8.0,9.0,90.0,1.1,0,20.06364
+31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,17067,2464,283,Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2023-02-21,2020-03-14,153,111.1339534883721,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",2023-01-06,114,"['JaidedTeam@jaidedai', 'SamSamhuns@nyu,tii', ""arkya-art@delhitechnologicaluniversity(dtu'22)"", 'dakotahorstman@duratechindustries', 'danielinux7', 'jpotter@enveritas', 'rkcosmos@jaidedai', 'ronaldaug', 'sardasumit', 'visutida']",5,10,"[""delhitechnologicaluniversity(dtu'22)"", 'duratechindustries', 'enveritas', 'jaidedai', 'nyu,tii']","['@JaidedAI', ""Delhi Technological university (DTU'22)"", 'DuraTech Industries', 'Enveritas', 'Jaided AI', 'NYU, TII']",,1.0,104,38,36,2,5,7,5,104.0,123.0,90.0,1.2,0,41.52995
+48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16895,6739,592,Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2023-02-21,2011-02-19,626,26.96420428636571,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",2023-02-21,1473,"['NelleV@timc', 'QuLogic', 'anntzer', 'dstansby@ucl', 'efiring@universityofhawaii', 'jdh2358', 'jklymak@universityofvictoria', 'mdboom@microsoft', 'tacaswell@brookhavennationallab', 'timhoffm']",6,10,"['brookhavennationallab', 'microsoft', 'timc', 'ucl', 'universityofhawaii', 'universityofvictoria']","['Brookhaven National Lab', 'Microsoft', 'TIMC', 'UCL', 'University of Hawaii', 'University of Victoria']",,40.5,1299,800,146,0,10,10,10,1298.0,2691.0,90.0,2.1,0,66.46063
+30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16848,1492,413,Python,https://sanic.dev,sanic:  Accelerate your web app development  | Build fast. Run fast.,huge-success,2023-02-21,2016-05-26,351,47.8830694275274,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",2023-02-21,327,"['38elements', 'Tronic', 'ahopkins@packetfabric', 'ashleysommer@csiro', 'channelcat', 'harshanarayana@ciscosystems', 'r0fls', 'seemethere@pytorch', 'sjsadowski@metameta', 'yunstanford@airbnb']",6,10,"['airbnb', 'ciscosystems', 'csiro', 'metameta', 'packetfabric', 'pytorch']","['@Airbnb', '@PacketFabric', '@csiro ', '@pytorch', 'Cisco Systems', 'Meta Meta LLC']",,2.33,121,81,82,0,11,12,11,121.0,305.0,90.0,2.5,0,54.55089
+373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16809,3094,250,Python,https://pyg.org,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2023-02-21,2017-10-06,280,59.879389312977096,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",2023-02-21,380,"['EdisonLeeeee@sunyat-senuniversity', 'Padarn@myteksi', 'dongkwan-kim@uilab-githubsparcs-kaist', 'ekagra-ranjan', 'janericlenssen@max-planckinstituteforinformatics,kumo.ai', 'lgray', 'lightaime@kaustivul', 'mananshah99@kumo-ai', 'rusty1s', 'wsad1']",6,10,"['kaustivul', 'kumo-ai', 'max-planckinstituteforinformatics,kumo.ai', 'myteksi', 'sunyat-senuniversity', 'uilab-githubsparcs-kaist']","['@kumo-ai ', '@myteksi', '@uilab-github @sparcs-kaist ', 'KAUST IVUL', 'Max-Planck Institute for Informatics, Kumo.ai', 'Sun Yat-sen University']",,20.0,594,503,65,0,3,6,3,594.0,1001.0,90.0,1.7,0,56.82484
+426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16456,8022,641,Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2023-02-21,2017-09-05,285,57.71142284569138,[],2023-02-13,9,"['DerekChia', 'Kuz-man', 'bfaissal@moroccojug', 'fchollet', 'iamaziz', 'rama100', 'var-nan']",1,10,['moroccojug'],['MoroccoJUG'],,0.1,10,5,66,0,0,0,0,10.0,7.0,90.0,0.7,0,25.38372
+102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16333,2356,483,Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2023-02-21,2012-09-20,543,30.03178355660625,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",2023-02-09,597,"['Tarrasch@google', 'daveFNbuck@houzz', 'dlstadther@q2ebanking', 'erikbern', 'freider@modallabs', 'gpoulin', 'honnix@spotify', 'themalkolm', 'ulzha', 'vitling']",5,10,"['google', 'houzz', 'modallabs', 'q2ebanking', 'spotify']","['@spotify ', 'Google', 'Houzz', 'Modal Labs', 'Q2ebanking']",,0.73,26,14,127,0,3,6,3,26.0,48.0,90.0,1.8,0,50.1409
+328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,16289,1582,154,Go,https://aquasecurity.github.io/trivy,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2023-02-21,2019-04-11,201,80.69568294409059,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",2023-02-20,283,"['DmitriyLewen', 'afdesk', 'dependabot[bot]', 'josedonizetti', 'knqyf263', 'liamg@ghostsecurity', 'masahiro331', 'owenrumney@ghostsecurity', 'simar7', 'tomoyamachi@goodwithtech']",2,10,"['ghostsecurity', 'goodwithtech']","['@ghostsecurity', '@ghostsecurity ', '@goodwithtech ']",,15.79,609,410,47,0,38,28,38,609.0,1227.0,90.0,2.0,0,54.42537
+834,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,15968,6198,733,C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2023-02-21,2013-12-20,478,33.35601313040883,"['micropython', 'python', 'embedded', 'microcontroller']",2023-02-21,555,"['dhylands', 'dlech', 'dpgeorge', 'glennrub', 'iabdalkader@openmv', 'jimmo@micropython', 'pfalcon', 'pi-anl', 'robert-hh', 'stinos']",2,10,"['micropython', 'openmv']","['@micropython', 'OpenMV']",,23.6,441,275,112,0,1,6,1,441.0,1242.0,90.0,2.8,0,54.89231
+109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15742,3669,905,Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2023-02-21,2014-02-21,469,33.513990267639905,"['python', 'crawler']",2020-08-02,62,"['binux', 'eromoe', 'farmercode', 'ihipop', 'jtwaleson@easeebv', 'lushl9301@sun', 'machinewu', 'tiancheng91', 'tunstek', 'xyb']",2,10,"['easeebv', 'sun']","['Easee BV', 'SUN']",,0.0,3,0,110,31,0,1,1,3.0,3.0,90.0,1.0,0,25.02245
+873,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15699,4414,769,Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2023-02-21,2010-05-10,667,23.52665382145151,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",2023-02-21,937,"['Carreau@quansight-labs', 'bfroehle@google', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'ivanov', 'jasongrout@databricks', 'jdfreder@google', 'minrk@simularesearchlaboratory', 'takluyver', 'vivainio@basware']",7,10,"['amazonwebservices', 'basware', 'databricks', 'google', 'quansight-labs', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@databricks', '@google ', 'Amazon Web Services', 'Basware', 'Google', 'Simula Research Laboratory', 'University of California, Berkeley.']",,6.71,173,96,156,0,0,12,12,173.0,271.0,90.0,1.6,0,59.70582
+176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15686,939,235,Python,,PySnooper: Never use print for debugging again,cool-rr,2023-02-21,2019-04-18,200,78.09530583214794,"['python', 'debug', 'debugger', 'introspection', 'logging']",2023-01-03,27,"['alexbers', 'alexmojaki', 'bittner@painless-software', 'cool-RR', 'czietz', 'frenzymadness@redhat', 'iory@japan', 'pikez', 'pohmelie@aratar.tech', 'zasdfgbnm@nvidia']",5,10,"['aratar.tech', 'japan', 'nvidia', 'painless-software', 'redhat']","['@painless-software ', 'Japan', 'NVIDIA', 'Red Hat', 'aratar.tech']",,0.1,5,2,47,3,0,4,4,5.0,12.0,90.0,2.4,0,34.31563
+493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15610,3846,594,Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2023-02-21,2019-06-05,194,80.4639175257732,[],2023-02-16,11,"['AdilZouitine@irtsaint-exupéry', 'AlexZhou1995@alibaba-inc&nanjinguniversity', 'Vijayabhaskar96', 'imatiach-msft@microsoft', 'javierlorenzod', 'niklaskeerl', 'optixlab@intelcorp.', 'rasbt@lightning-ai,universityofwisconsin-madison']",5,10,"['alibaba-inc&nanjinguniversity', 'intelcorp.', 'irtsaint-exupéry', 'lightning-ai,universityofwisconsin-madison', 'microsoft']","['@Lightning-AI , University of Wisconsin-Madison', 'Alibaba-inc & Nanjing University', 'IRT Saint-Exupéry', 'Intel Corp.', 'Microsoft']",,0.92,3,3,45,0,0,0,0,3.0,2.0,90.0,0.7,0,30.32482
+41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15534,2990,620,Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2023-02-21,2010-11-03,642,24.19626168224299,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",2023-02-21,580,"['KeyWeeUsr', 'Zen-CODE@zencode', 'akshayaurora@freelance', 'dessant', 'geojeff', 'inclement', 'kived@ijettech-dev', 'matham@cornelluniversity', 'tito@meltingrocks', 'tshirtman@imc.com']",6,10,"['cornelluniversity', 'freelance', 'ijettech-dev', 'imc.com', 'meltingrocks', 'zencode']","['@ijettech-dev', 'Cornell University', 'Freelance', 'Melting Rocks', 'ZenCODE', 'imc.com']",,1.73,142,81,150,0,1,3,1,142.0,236.0,90.0,1.7,0,52.52735
+19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15521,4370,422,Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2023-02-21,2016-11-16,327,47.464831804281346,"['forecasting', 'r', 'python']",2023-01-31,163,"['Igevorse', 'baogorek@spencerhealthsolutions', 'bletham', 'dependabot[bot]', 'joseangel-sc@pinterest', 'ryankarlos', 'seanjtaylor', 'seriousran@ncsoftaivisionlabgenerationteam', 'sss-ng', 'tcuongd@canva']",4,10,"['canva', 'ncsoftaivisionlabgenerationteam', 'pinterest', 'spencerhealthsolutions']","['@Canva ', '@NCSoft AI Vision Lab Generation Team', 'Pinterest', 'spencer Health Solutions, Inc.']",,1.04,277,148,76,1,3,2,3,277.0,169.0,90.0,0.6,0,43.96541
+604,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15466,1160,176,Python,https://github.com/pyscript/pyscript/discussions,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2023-02-21,2022-02-21,52,295.7978142076503,"['python', 'html', 'javascript', 'wasm']",2023-02-21,98,"['FabioRosado@anaconda', 'JeffersGlass', 'antocuni', 'fpliger', 'madhur-tandon', 'philippjfr@anaconda', 'pre-commit-ci[bot]', 'pww217', 'tedpatrick@pyscriptanaconda', 'woxtu']",2,10,"['anaconda', 'pyscriptanaconda']","['@pyscript @anaconda', 'Anaconda', 'Anaconda Inc.']",,12.98,272,216,12,0,4,4,4,272.0,435.0,90.0,1.6,0,43.38437
+36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15410,1726,221,Python,https://faker.readthedocs.io,Faker is a Python package that generates fake data for you.,joke2k,2023-02-21,2012-11-12,536,28.734683004794885,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",2023-02-19,506,"['Newman101', 'chrisvoncsefalvay@starschema', 'fcurella@minted', 'grantbachman@google', 'illia-v@sailoboats', 'jdufresne@pioneervalleybooks', 'joke2k@selfemployed', 'malefice', 'mdxs@mdxs', 'reverbc']",7,10,"['google', 'mdxs', 'minted', 'pioneervalleybooks', 'sailoboats', 'selfemployed', 'starschema']","['@minted', '@sailoboats', 'Google', 'MDXS', 'Pioneer Valley Books', 'Self Employed', 'Starschema']",,6.81,70,54,125,0,56,27,56,70.0,94.0,90.0,1.3,0,57.8015
+469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15401,2399,301,Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2023-02-21,2020-04-06,150,102.47813688212928,[],2022-11-11,23,"['645775992', 'JohanAR', 'MartinDelille@lylomediagroup', 'alievk', 'christianll9@universityofhildesheim', 'giorgiop', 'iamphi', 'karfly@entrepreneur', 'mikaelhg', 'mynameisfiber@digital-witness-lab']",4,10,"['digital-witness-lab', 'entrepreneur', 'lylomediagroup', 'universityofhildesheim']","['@digital-witness-lab ', 'Entrepreneur', 'Lylo Media Group', 'University of Hildesheim']",,0.02,65,16,35,3,0,1,1,65.0,245.0,90.0,3.8,0,34.84284
+137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,15276,2025,262,Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2023-02-21,2020-03-26,151,100.59454374412041,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",2023-02-21,493,"['abhishekkrthakur@huggingface', 'albertvillanova@huggingfaceaiinnova', 'lewtun@huggingface', 'lhoestq@huggingface', 'mariosasko@huggingface', 'patrickvonplaten', 'sashavor@huggingface', 'stevhliu@huggingface', 'thomwolf@huggingface', 'yjernite@cims,nyu']",3,10,"['cims,nyu', 'huggingface', 'huggingfaceaiinnova']","['@huggingface', '@huggingface ', '@huggingface @Aiinnova', 'CIMS, NYU', 'Hugging Face', 'HuggingFace']",,17.19,368,265,35,0,20,24,20,368.0,1116.0,90.0,3.0,0,56.92121
+74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14873,2450,228,Python,https://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2023-02-21,2012-12-07,532,27.91928130866184,"['python', 'types', 'typing', 'typechecker', 'linter']",2023-02-20,631,"['JukkaL', 'Michael0x2a', 'ddfisher', 'gvanrossum@microsoft', 'hauntsaninja@openai', 'ilevkivskyi', 'ivuk', 'msullivan@edgedb', 'sobolevn', 'spkersten@philipshue']",4,10,"['edgedb', 'microsoft', 'openai', 'philipshue']","['@OpenAI', 'EdgeDB', 'Microsoft', 'Philips Hue']",,16.92,869,495,124,0,0,7,7,869.0,1600.0,90.0,1.8,0,59.43172
+868,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,14661,1530,188,Python,https://www.colossalai.org/,"ColossalAI: Making big AI models cheaper, easier, and more scalable",hpcaitech,2023-02-21,2021-10-28,68,212.91908713692945,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training']",2023-02-21,97,"['1SAA@hpcaitech', 'Cypher30@fudanuniversity', 'FrankLeeeee', 'Wesley-Jzy', 'YuliangLiu0306', 'binmakeswell@nationaluniversityofsingapore', 'feifeibear', 'github-actions[bot]', 'oahzxl@nationaluniversityofsingapore', 'ver217@hpcaitech']",3,10,"['fudanuniversity', 'hpcaitech', 'nationaluniversityofsingapore']","['@Fudan University', '@hpcaitech', '@hpcaitech ', 'National University of Singapore']",,36.31,942,802,16,0,24,20,24,943.0,842.0,90.0,0.9,0,50.39878
+148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14418,2474,312,Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2023-02-21,2017-06-10,297,48.452232357177145,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",2021-03-02,65,"['Jamim@itechartgroup', 'Mehdzor@maximlevin', 'NoSuck', 'calebglawson@ololabs', 'fshabashev', 'haccer', 'himanshudabas', 'hpiedcoq', 'pielco11@none', 'yunusemrecatalcam@yechops']",5,10,"['itechartgroup', 'maximlevin', 'none', 'ololabs', 'yechops']","['@NONE', '@ololabs', 'Maxim Levin', 'YechOps', 'iTechArt Group']",,0.0,3,1,69,24,0,4,4,3.0,1.0,90.0,0.3,0,28.3125
+718,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,14234,712,121,Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js",pola-rs,2023-02-21,2020-05-13,145,98.1655172413793,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",2023-02-21,173,"['Dandandan@godatadriven', 'MarcoGorelli@quansight', 'alexander-beedie', 'ghuls@aertslab', 'ibENPC', 'matteosantama@universityofcalifornia,berkeley', 'ritchie46', 'stinodego', 'universalmind303', 'zundertj']",4,10,"['aertslab', 'godatadriven', 'quansight', 'universityofcalifornia,berkeley']","['@aertslab ', '@godatadriven', 'Quansight', 'University of California, Berkeley']",,42.81,1628,1331,34,0,44,128,44,1628.0,3211.0,90.0,2.0,0,57.92702
+175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,14165,585,120,Python,,loguru: Python logging made (stupidly) simple,delgan,2023-02-21,2017-08-15,288,49.159643034209225,"['python', 'logging', 'logger', 'log']",2023-02-01,42,"['AdrianDeAnda', 'AndrewYakimets', 'Delgan', 'benhowes', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'layday', 'mayanyax', 'nasyxx', 'ponponon']",1,10,"['freelancer,upforhire']","['Freelancer, up for hire']",,2.06,69,51,67,1,0,3,3,69.0,119.0,90.0,1.7,0,36.69806
+332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,14133,3722,549,C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2023-02-21,2017-09-08,284,49.6392373306573,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",2023-01-25,147,"['andrewcoh', 'awjuliani', 'chriselion@ziplineinternational', 'dongruoping@unitytechnologies/carnegiemellonuniversity', 'ervteng', 'pderichai@google', 'shihzy@facebook', 'surfnerd', 'vincentpierre', 'xiaomaogy@unitytechnologies']",5,10,"['facebook', 'google', 'unitytechnologies', 'unitytechnologies/carnegiemellonuniversity', 'ziplineinternational']","['@google', 'Facebook', 'Unity Technologies', 'Unity Technologies/Carnegie Mellon University', 'Zipline International']",,1.13,138,78,66,1,1,25,1,138.0,60.0,90.0,0.4,0,41.58796
+124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,14114,3330,428,Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2023-02-21,2017-09-07,284,49.54764292878636,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",2023-02-21,269,"['anderspapitto', 'askhade', 'bddppq', 'gramalingam@microsoftresearch', 'houseroad', 'jcwchen@microsoft', 'linkerzhang', 'prasanthpul@microsoft', 'smessmer', 'yuanbyu@microsoft']",2,10,"['microsoft', 'microsoftresearch']","['@Microsoft', 'Microsoft', 'Microsoft Research']",,5.83,356,228,66,0,2,4,2,356.0,440.0,90.0,1.2,0,47.56062
+104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,13972,4322,429,Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2023-02-21,2011-02-10,627,22.253469852104665,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",2023-02-17,441,"['Witiko@masarykuniversity', 'chinmayapancholi13', 'cscorley', 'gojomo@http://xavvy.com', 'jayantj@mixpanel', 'menshikh-iv@constructor.io,embedika', 'mpenkov@profoundnetworks', 'piskvorky@rare-technologies', 'sotte', 'tmylk']",6,10,"['constructor.io,embedika', 'http://xavvy.com', 'masarykuniversity', 'mixpanel', 'profoundnetworks', 'rare-technologies']","['@ProfoundNetworks', '@RARE-Technologies', '@mixpanel', 'Constructor.io, Embedika', 'Masaryk University', 'http://xavvy.com']",,1.79,68,52,146,0,2,6,2,68.0,149.0,90.0,2.2,0,52.44887
+972,ml,https://github.com/openai/baselines,,,,openai/baselines,baselines,13741,4526,613,Python,,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms,openai,2023-02-21,2017-05-24,300,45.803333333333335,[],2020-01-31,115,"['20chase', 'AurelianTactics', 'MatPoliquin', 'andrewliao11@universityoftoronto', 'christopherhesse@openai', 'joschu', 'pzhokhov', 'siemanko@openai', 'unixpickle', 'zuoxingdong@navercorp']",3,10,"['navercorp', 'openai', 'universityoftoronto']","['NAVER Corp', 'OpenAI', 'University of Toronto']",,0.0,12,4,70,37,0,0,0,12.0,6.0,90.0,0.5,0,26.07025
+119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13685,3201,286,Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2023-02-21,2018-06-05,246,55.59779454439931,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",2023-02-21,547,"['BenWilson2@databricks', 'WeichenXu123@databricks', 'aarondav', 'dbczumar', 'harupy', 'mlflow-automation', 'mparkhe@databricks', 'smurching', 'sunishsheth2009@databricks.exlinkedin', 'tomasatdatabricks']",2,10,"['databricks', 'databricks.exlinkedin']","['@databricks', '@databricks ', '@databricks. Ex LinkedIn', 'Databricks']",,23.5,625,440,57,0,13,24,13,625.0,1531.0,90.0,2.4,0,56.77433
+674,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13681,1055,104,Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2023-02-21,2021-07-03,85,159.87813021702837,[],2023-02-10,27,"['AetherUnbound@automattic', 'Gertie01', 'borisdayma', 'ghosh-r', 'khalidsaifullaah@universityofmaryland,collegepark', 'mallorbc@brillibits', 'patil-suraj@huggingface', 'patrickpiccini@linx|stone', 'pcuenca', 'tmabraham']",5,10,"['automattic', 'brillibits', 'huggingface', 'linx|stone', 'universityofmaryland,collegepark']","['Automattic', 'Brillibits', 'Huggingface', 'Linx | Stone ', 'University of Maryland, College Park']",,2.42,16,5,20,0,3,2,3,16.0,26.0,90.0,1.6,0,37.28145
+56,term,https://github.com/pallets/click,,,,pallets/click,click,13511,1313,180,Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2023-02-21,2014-04-24,460,29.3171109733416,"['python', 'cli', 'click', 'pallets']",2023-02-07,337,"['davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'iKevinY', 'jcrotts', 'julen', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'sirosen', 'untitaker@getsentry']",2,10,"['getsentry', 'sentry']","['@getsentry ', 'Sentry']",,1.1,73,47,108,0,4,5,4,73.0,48.0,90.0,0.7,0,45.01838
+544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13310,2358,231,Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2023-02-21,2015-07-10,397,33.46623563218391,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",2020-06-01,36,"['Borda@grid.ai|pytorchlightning', 'Erotemic@kitware', 'SarthakYadav@idiap', 'adamwkraft', 'aleju', 'creinders', 'gaborvecsei', 'jgraving@maxplanckinstituteofanimalbehavior', 'stnk20', 'wkentaro@mujin']",5,10,"['grid.ai|pytorchlightning', 'idiap', 'kitware', 'maxplanckinstituteofanimalbehavior', 'mujin']","['@Kitware', '@mujin', 'Grid.ai | PytorchLightning', 'IDIAP', 'Max Planck Institute of Animal Behavior']",,0.0,11,3,93,33,0,2,2,11.0,11.0,90.0,1.0,0,28.83625
+408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13285,1866,228,Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2023-02-21,2013-10-01,490,27.10434275721364,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",2023-02-16,665,"['Dreamsorcerer', 'asvetlov@neu.ro', 'dependabot-preview[bot]', 'dependabot[bot]', 'fafhrd91@microsoft', 'kxepal', 'patchback[bot]', 'popravich@evo-company', 'pyup-bot@pyupio', 'webknjaz@ansiblecoreredhatofficial']",5,10,"['ansiblecoreredhatofficial', 'evo-company', 'microsoft', 'neu.ro', 'pyupio']","['@Ansible Core @ @RedHatOfficial', '@evo-company', '@pyupio', 'Microsoft', 'Neu.ro']",,7.0,177,101,114,0,3,25,3,177.0,471.0,90.0,2.7,0,56.73031
+956,ml,https://github.com/openai/openai-cookbook,,,,openai/openai-cookbook,openai-cookbook,13284,1661,304,Jupyter Notebook,,openai-cookbook: Examples and guides for using the OpenAI API,openai,2023-02-21,2022-03-11,49,267.2068965517241,[],2023-02-17,38,"['BorisPower', 'MikeHeaton', 'cmurtz-msft@microsoft', 'colin-jarvis', 'colin-openai', 'filipeabperes', 'isafulf', 'logankilpatrick@openaijulialang', 'shyamal-anadkat@openai', 'ted-at-openai@openai']",3,10,"['microsoft', 'openai', 'openaijulialang']","['@OpenAI @JuliaLang', 'Microsoft', 'OpenAI']",,2.67,121,96,12,0,0,0,0,121.0,193.0,90.0,1.6,0,35.96004
+942,nlp,https://github.com/karpathy/mingpt,,,,karpathy/mingpt,minGPT,13102,1477,228,Python,,minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training,karpathy,2023-02-21,2020-08-17,131,99.79760609357997,[],2023-01-08,15,"['brchristian', 'ericjang', 'fpgaminer', 'karpathy', 'luigidisotto@aitechnologiessrl', 'michaellavelle@ml4jjvmtorch', 'mishig25@huggingface', 'nat@github', 'shivamtawari', 't-vi@mathinfhttps://mathinf.eu/']",5,10,"['aitechnologiessrl', 'github', 'huggingface', 'mathinfhttps://mathinf.eu/', 'ml4jjvmtorch']","['@huggingface ', '@ml4j @jvmtorch ', 'AI Technologies srl', 'GitHub', 'MathInf https://mathinf.eu/']",,0.96,20,4,31,1,0,0,0,20.0,6.0,90.0,0.3,0,28.72505
+554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,13034,2157,331,Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2023-02-21,2017-08-09,289,45.10034602076124,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",2023-02-18,164,"['EnricoMi', 'abditag2@uber', 'alsrgv@carbonrobotics', 'chongxiaoc@uber', 'irasit@uber', 'maxhgerlach@deeplse', 'nvcastet@nvidia', 'romerojosh@nvidia', 'tgaddair@uber', 'yuxihu@aws']",5,10,"['aws', 'carbonrobotics', 'deeplse', 'nvidia', 'uber']","['@AWS', '@carbonrobotics', '@uber ', 'DeepL SE', 'NVIDIA', 'Uber', 'Uber ']",,3.06,110,75,67,0,8,13,8,110.0,159.0,90.0,1.4,0,49.51296
+507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,13006,3175,459,Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2023-02-21,2017-06-15,296,43.81231953801733,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",2023-02-17,243,"['MechCoder@googlebrain', 'afrozenator@google', 'blazejosinski', 'dustinvtran@googlebrain', 'koz4k@mimuw', 'lukaszkaiser@google', 'mbz@universityofillinoisaturbana–champaign', 'nshazeer', 'urvashik', 'vthorsteinsson@mideind']",5,10,"['google', 'googlebrain', 'mideind', 'mimuw', 'universityofillinoisaturbana–champaign']","['@mideind ', 'Google', 'Google Brain', 'MIMUW', 'University of Illinois at Urbana–Champaign']",,0.25,6,1,69,0,0,13,13,6.0,5.0,90.0,0.8,0,43.80581
+62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,12956,2301,276,Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:,plotly,2023-02-21,2013-11-21,482,26.831952662721893,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",2023-01-31,219,"['Kully', 'LiamConnors', 'chriddyp@plotly', 'cldougl@plotly', 'emmanuelle', 'etpinard@r2-inc', 'jonmmease@hextechnologies', 'nicolaskruchten', 'theengineear@netflix', 'yankev']",4,10,"['hextechnologies', 'netflix', 'plotly', 'r2-inc']","['@R2-inc', 'Hex Technologies', 'Netflix', 'Plotly']",,5.21,235,102,113,0,9,15,9,235.0,316.0,90.0,1.3,0,52.14271
+812,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12942,4234,551,Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2023-02-21,2014-09-28,438,29.519061583577713,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",2021-06-01,103,"['DarkmatterVale@amazonwebservices', 'JulianoEngineer@uplicativos', 'Martmists-GH@claritycafe', 'davizucon', 'gunthercox', 'lesleslie@wedgwoodwebworks', 'manoelrui', 'navyad', 'rafak360', 'rmdort@self']",5,10,"['amazonwebservices', 'claritycafe', 'self', 'uplicativos', 'wedgwoodwebworks']","['@ClarityCafe', '@self', 'Amazon Web Services', 'Uplicativos', 'Wedgwood Web Works']",,0.0,26,5,102,21,0,10,10,26.0,25.0,90.0,1.0,0,36.14244
+346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,12879,846,102,HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2023-02-21,2018-12-19,218,59.07798165137615,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",2023-02-21,135,"['AK391@huggingface', 'FarukOzderim@pennstate', 'abidlabs', 'aliabd', 'aliabid94', 'dawoodkhan82', 'freddyaboulton', 'ikaharudin', 'pngwn', 'testaliabid']",2,10,"['huggingface', 'pennstate']","['Huggingface', 'Penn State']",,24.69,756,569,51,0,92,23,92,758.0,2128.0,90.0,2.8,0,54.68992
+281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,12836,2816,111,TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2023-02-21,2016-01-28,368,34.7993803253292,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",2023-02-20,192,"['Stanzilla', 'XhmikosR', 'coliff@trimble-oss', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'facelessuser', 'greenkeeper[bot]', 'squidfunk@stylezen', 'timvink']",2,10,"['stylezen', 'trimble-oss']","['@stylezen', '@trimble-oss']",,16.73,326,306,86,0,61,44,61,327.0,847.0,90.0,2.6,0,55.05145
+39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12647,2557,312,TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2023-02-21,2016-06-03,350,36.06069246435845,"['jupyterlab', 'jupyter']",2023-02-21,527,"['afshin@jupyterquantstack', 'blink1073@mongodb', 'echarles@datalayer', 'ellisonbg@amazonwebservices', 'fcollonval@quantstack', 'ian-r-rose@coiled', 'jasongrout@databricks', 'jtpio@quantstack', 'saulshanabrook', 'telamonian@jpmorgan']",8,10,"['amazonwebservices', 'coiled', 'databricks', 'datalayer', 'jpmorgan', 'jupyterquantstack', 'mongodb', 'quantstack']","['@Datalayer', '@QuantStack', '@coiled ', '@databricks', '@jupyter @quantstack', 'Amazon Web Services', 'JP Morgan', 'MongoDB']",,16.13,1286,932,82,0,50,5044,50,1287.0,2291.0,90.0,1.8,0,63.69518
+314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,12551,1161,89,Python,https://docs.pydantic.dev,pydantic: Data validation using Python type hints,samuelcolvin,2023-02-21,2017-05-03,303,41.42244224422442,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",2023-02-19,349,"['Bobronium@pheon', 'Gr1N@pandadoc', 'PrettyWood@toucantoco', 'dependabot-preview[bot]', 'dependabot[bot]', 'dmontagu@formlogic', 'hramezani@crate', 'pyup-bot@pyupio', 'samuelcolvin@pydantic', 'tiangolo']",7,10,"['crate', 'formlogic', 'pandadoc', 'pheon', 'pydantic', 'pyupio', 'toucantoco']","['@PandaDoc', '@ToucanToco', '@crate ', '@pydantic', '@pyupio', 'Formlogic', 'Pheon']",,6.13,395,237,71,0,11,16,11,395.0,951.0,90.0,2.4,0,57.7591
+127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12525,1749,283,Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2023-02-21,2018-06-01,246,50.76722640416908,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",2023-02-20,186,"['J-shang', 'Lijiaoa', 'QuanluZhang', 'SparkSnail', 'chicm-ms', 'liuzhe-lz', 'lvybriage@inspur', 'squirrelsc@microsoft', 'suiguoxin@msra', 'ultmaster@microsoft']",3,10,"['inspur', 'microsoft', 'msra']","['Inspur', 'MSRA', 'Microsoft']",,7.02,188,101,58,0,4,10,4,188.0,240.0,90.0,1.3,0,48.02149
+152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12498,1997,202,Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2023-02-21,2018-06-11,245,50.95282469423413,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",2023-02-21,240,"['alanakbik', 'dobbersc@humboldt-universitätzuberlin', 'helpmefindaname@researchindustrialsystemsengineering(rise)', 'leonweber@lmumunich', 'marcelmmm', 'pommedeterresautee@els-rdlefebvresarrut', 'stefan-it', 'tabergma@rasahq', 'whoisjones@humboldtuniversität', 'yosipk']",6,10,"['els-rdlefebvresarrut', 'humboldt-universitätzuberlin', 'humboldtuniversität', 'lmumunich', 'rasahq', 'researchindustrialsystemsengineering(rise)']","['@ELS-RD Lefebvre Sarrut', '@RasaHQ ', 'Humboldt Universität', 'Humboldt-Universität zu Berlin', 'LMU Munich', 'Research Industrial Systems Engineering (RISE)']",,11.46,216,164,57,0,1,5,1,216.0,271.0,90.0,1.3,0,50.96846
+52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,12242,2844,279,Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2023-02-21,2010-09-06,650,18.825571177504393,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",2023-02-19,641,"['MridulS', 'chebee7i', 'dschult', 'hagberg', 'jarrodmillman@ucberkeley', 'jfinkels', 'jtorrents', 'loicseguin', 'rossbar@caltech', 'ysitu']",2,10,"['caltech', 'ucberkeley']","['Caltech', 'UC Berkeley']",,9.12,384,236,152,0,16,7,16,384.0,508.0,90.0,1.3,0,55.43338
+575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,12238,1776,246,C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2023-02-21,2015-07-05,398,30.715668698458227,"['python', 'bindings']",2023-02-20,315,"['Skylion007@facebookresearch', 'YannickJadoul@maxplanckinstituteforpsycholinguistics&vrijeuniversiteitbrussel', 'aldanor', 'dean0x7d@lumicks', 'dependabot[bot]', 'henryiii@princetonuniversity', 'jagerman', 'pre-commit-ci[bot]', 'rwgk@google', 'wjakob@epfl']",6,10,"['epfl', 'facebookresearch', 'google', 'lumicks', 'maxplanckinstituteforpsycholinguistics&vrijeuniversiteitbrussel', 'princetonuniversity']","['@facebookresearch ', '@lumicks ', 'EPFL', 'Google', 'Max Planck Institute for Psycholinguistics & Vrije Universiteit Brussel', 'Princeton University']",,4.71,168,111,93,0,5,7,5,168.0,387.0,90.0,2.3,0,54.62509
+425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11585,1472,123,Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2023-02-21,2018-06-06,246,47.09349593495935,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",2023-02-15,126,"['BloodAxe@deci-ai', 'Dipet', 'MichaelMonashev', 'albu', 'arsenyinfo', 'creafz', 'i-aki-y', 'ternaus@ternaus.com', 'vfdev-5@quansight', 'zakajd@eyeq']",4,10,"['deci-ai', 'eyeq', 'quansight', 'ternaus.com']","['@Deci-AI ', '@Quansight', 'EyeQ', 'Ternaus.com']",,1.42,83,38,57,0,3,3,3,83.0,133.0,90.0,1.6,0,44.86309
+105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11540,2693,469,Python,https://www.nltk.org,NLTK Source,nltk,2023-02-21,2009-09-07,702,16.432058584214808,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",2023-02-20,438,"['alvations', 'dhgarrette@googleresearch', 'dimazest', 'fievelk', 'heatherleaf@universityofgothenburg', 'iliakur@datadog', 'kmike@zytedata,scrapinghub', 'stevenbird', 'tomaarsen@argilla', 'wroberts@humboldtuniversitätzuberlin']",6,10,"['argilla', 'datadog', 'googleresearch', 'humboldtuniversitätzuberlin', 'universityofgothenburg', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Argilla', 'Datadog', 'Google Research', 'Humboldt Universität zu Berlin', 'University of Gothenburg']",,2.37,95,73,164,0,0,3,3,95.0,167.0,90.0,1.8,0,53.15712
+242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11445,2347,329,Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2023-02-21,2019-01-15,214,53.44563042028019,[],2023-01-31,91,"['Augustin-Zidek', 'alimuldal@deepmind', 'altche@deepmind', 'alvarosg@deepmind', 'derpson@deepmind', 'diegolascasas@deepmind', 'dpfau', 'jsspencer', 'wanglouis49', 'yilei']",1,10,['deepmind'],"['@deepmind', 'DeepMind']",,0.67,23,3,50,1,0,0,0,23.0,20.0,90.0,0.9,0,30.58624
+114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11404,2241,281,Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2023-02-21,2017-05-15,301,37.8511142721669,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",2022-11-22,265,"['DeNeutoy', 'brendan-ai2@ai2', 'bryant1410@michigannlp', 'dependabot[bot]', 'dirkgr', 'epwalsh', 'joelgrus', 'matt-gardner@microsoftsemanticmachines', 'nelson-liu@stanfordnlp', 'schmmd']",4,10,"['ai2', 'michigannlp', 'microsoftsemanticmachines', 'stanfordnlp']","['@MichiganNLP', '@stanfordnlp', 'AI2', 'Microsoft Semantic Machines']",,1.12,8,6,70,3,5,11,5,8.0,12.0,90.0,1.5,0,41.60382
+120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,11345,1128,154,Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2023-02-21,2018-06-29,242,46.742201294879344,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",2023-02-20,128,"['anticorrelator', 'cicdw@prefecthq', 'jlowin@prefecthq', 'madkinsz@prefect', 'peytonrunyan', 'pleek91', 'stackoverfloweth', 'tpdorsey@prefect.io', 'zangell44@prefect', 'znicholasbrown']",3,10,"['prefect', 'prefect.io', 'prefecthq']","['@PrefectHQ ', 'Prefect', 'Prefect.io']",,106.08,1372,1022,57,0,55,36,55,1370.0,2479.0,90.0,1.8,0,58.17338
+320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,11261,1674,218,Python,,"PySimpleGUI: Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs",pysimplegui,2023-02-21,2018-07-11,241,46.726141078838175,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",2023-02-19,18,"['AltoRetrato', 'Chr0nicT', 'JorjMcKie', 'MikeTheWatchGuy', 'PySimpleGUI@pysimplegui', 'cclauss@christianclauss', 'deajan@netperfect', 'jackyOO7', 'jason990420', 'mikeckennedy@talkpython']",4,10,"['christianclauss', 'netperfect', 'pysimplegui', 'talkpython']","['Christian Clauss', 'NetPerfect', 'PySimpleGUI', 'Talk Python']",,9.0,235,204,56,0,5,1,5,235.0,746.0,90.0,3.2,0,46.6065
+192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,11160,2035,182,Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2023-02-21,2019-02-23,208,53.50684931506849,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",2020-06-05,17,"['RCheese@messagg', 'abhisheksms', 'airibarne@dribiadataresearch', 'ashears', 'br3ndonland@intelliatherapeutics', 'daniel-butler', 'dmontagu@formlogic', 'ebreton@cortexia', 'jcaguirre89', 'tiangolo']",5,10,"['cortexia', 'dribiadataresearch', 'formlogic', 'intelliatherapeutics', 'messagg']","['Cortexia', 'Dribia Data Research', 'Formlogic', 'Intellia Therapeutics', 'MessAgg']",,0.0,55,19,49,33,0,1,1,55.0,40.0,90.0,0.7,0,26.05926
+1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,11126,2745,343,C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2023-02-21,2016-02-17,366,30.398907103825138,['arrow'],2023-02-21,1017,"['andygrove@nvidia', 'bkietz@voltrondata', 'jorisvandenbossche', 'kou@clear-code', 'kszucs@voltron-data/ursa-computing', 'lidavidm', 'nealrichardson', 'pitrou', 'wesm@voltrondata', 'xhochy@quantco']",5,10,"['clear-code', 'nvidia', 'quantco', 'voltron-data/ursa-computing', 'voltrondata']","['@Quantco ', '@clear-code', '@voltron-data / @ursa-computing', '@voltrondata', '@voltrondata ', 'NVIDIA']",,41.1,12762,11288,85,0,0,10,10,12762.0,30000.0,90.0,2.4,0,66.45598
+190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,11119,2708,174,Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2023-02-21,2018-04-20,252,43.998304126625214,"['deep-learning', 'graph-neural-networks']",2023-02-21,249,"['BarclayII@awsshanghai', 'Rhett-Ying', 'VoVAllen@tensorchord', 'aksnzhy', 'classicsong@amazon', 'frozenbugs@amazon', 'jermainewang@newyorkuniversity', 'mufeili@awsailabshanghai', 'yzh119@uwsampl', 'zheng-da@aws']",7,10,"['amazon', 'aws', 'awsailabshanghai', 'awsshanghai', 'newyorkuniversity', 'tensorchord', 'uwsampl']","['@tensorchord ', '@uwsampl ', 'AWS', 'AWS AI Lab Shanghai', 'AWS Shanghai', 'Amazon', 'New York University']",,14.0,600,451,59,0,9,7,9,600.0,2587.0,90.0,4.3,0,59.93821
+122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,11109,1031,135,Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2023-02-21,2017-03-04,311,35.65474552957359,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",2023-02-21,281,"['Suor', 'casperdcl', 'daavoo@iterative', 'dependabot[bot]', 'dmpetrov@iterative.ai', 'efiop@iterative', 'karajan1001', 'pared', 'pmrowla', 'skshetry']",2,10,"['iterative', 'iterative.ai']","['@iterative', '@iterative ', 'iterative.ai']",,21.83,680,495,73,0,65,72,65,680.0,1563.0,90.0,2.3,0,56.60129
+759,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,11021,1268,127,Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.",invoke-ai,2023-02-21,2022-08-17,27,408.18518518518516,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",2023-02-21,177,"['Oceanswave@baristalabs', 'blessedcoolant', 'cmdr2', 'damian0815', 'ebr@brodsky.dev', 'keturn', 'lstein@ontarioinstituteforcancerresearch', 'mauwii@ares-consulting', 'psychedelicious', 'santisbon']",4,10,"['ares-consulting', 'baristalabs', 'brodsky.dev', 'ontarioinstituteforcancerresearch']","['@ARES-Consulting', '@BaristaLabs ', 'Ontario Institute for Cancer Research', 'brodsky.dev']",,47.02,1130,713,6,0,14,176,14,1130.0,3239.0,90.0,2.9,0,53.57946
+79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10859,4598,344,Python,https://scipy.org,SciPy library main repository,scipy,2023-02-21,2011-03-09,624,17.40224358974359,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",2023-02-20,1425,"['WarrenWeckesser', 'alexbrc', 'andyfaff', 'cournape@mercarijp', 'ev-br', 'mdhaber', 'pv', 'rgommers@quansight', 'teoliphant@quansight,openteams', 'tylerjereddy@lanl']",4,10,"['lanl', 'mercarijp', 'quansight', 'quansight,openteams']","['LANL', 'Mercari JP', 'Quansight', 'Quansight, OpenTeams']",,29.85,1113,685,146,0,12,13,12,1114.0,3048.0,90.0,2.7,0,65.04859
+218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10785,1072,325,C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2023-02-21,2013-04-01,516,20.889596015495297,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",2022-10-27,82,"['LTLA@genentech', 'ReneHollander@google', 'berkerpeksag', 'chdsbd', 'eddelbuettel', 'erikbern', 'novoselrok', 'psobot@spotify', 'starius', 'tjrileywisc']",3,10,"['genentech', 'google', 'spotify']","['@Genentech', '@spotify', 'Google']",,0.12,15,7,120,4,1,3,1,15.0,34.0,90.0,2.3,0,36.6723
+11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10752,1595,215,Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2023-02-21,2015-01-04,424,25.332884550656345,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",2023-02-20,577,"['TomAugspurger@microsoft', 'cowlicks', 'jakirkham', 'jcrist@voltrondata', 'jrbourbeau@coiled', 'jsignell@azavea', 'martindurant@anaconda', 'mrocklin@coiled', 'rjzamora@nvidia', 'sinhrks']",6,10,"['anaconda', 'azavea', 'coiled', 'microsoft', 'nvidia', 'voltrondata']","['@NVIDIA', '@azavea', '@coiled ', '@microsoft', '@voltrondata', 'Anaconda, inc.']",,10.5,377,210,99,0,0,32,32,377.0,785.0,90.0,2.1,0,61.04973
+780,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,10685,2095,117,Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2023-02-21,2022-05-30,38,279.0858208955224,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",2023-02-21,229,"['anton-l@huggingface', 'daspartho', 'kashif', 'natolambert', 'patil-suraj@huggingface', 'patrickvonplaten', 'pcuenca', 'sayakpaul@huggingface', 'shirayu@megagonlabs', 'williamberman']",2,10,"['huggingface', 'megagonlabs']","['@huggingface', '@megagonlabs', 'Hugging Face', 'Huggingface']",,32.5,1324,1064,9,0,29,46,29,1324.0,4777.0,90.0,3.6,0,54.17807
+857,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10616,1930,1721,JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2023-02-21,2015-12-15,375,28.2985529322163,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",2023-02-19,216,"['1chandu', 'Pessimistress', 'ajduberstein', 'alasarr@carto', 'felixpalmer', 'georgios-uber@uber', 'gnavvy@metaplatforms', 'heshan0131', 'ibgreen@foursquare', 'jianhuang01']",4,10,"['carto', 'foursquare', 'metaplatforms', 'uber']","['Carto', 'Foursquare', 'Meta Platforms, Inc.', 'Uber']",,6.92,196,151,88,0,56,73,56,196.0,269.0,90.0,1.4,0,54.00901
+72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10535,1983,216,Python,https://python-pillow.org,Pillow: Python Imaging Library (Fork),python-pillow,2023-02-21,2012-07-24,552,19.080206985769728,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",2023-02-21,427,"['DWesl', 'aclark4life@aclark.net', 'cgohlke', 'homm@uploadcare', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'mergify[bot]', 'nulano', 'radarhere', 'wiredfool']",4,10,"['aclark.net', 'nordsoftware', 'pioneervalleybooks', 'uploadcare']","['ACLARK.NET, LLC', 'Nord Software', 'Pioneer Valley Books', 'Uploadcare']",,18.71,311,246,129,0,5,8,5,311.0,590.0,90.0,1.9,0,56.96283
+173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,10494,424,67,Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2023-02-21,2019-12-24,165,63.54498269896194,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",2023-02-21,32,"['IamCathal', 'briancohan@pbdtools', 'cgabard@papernest', 'dependabot[bot]', 'mariacamilagl', 'mrcartoonster@lofidynamics', 'pre-commit-ci[bot]', 'theMarix@blueyondergmbh', 'tiangolo', 'victorphoenix3@bloomberg']",5,10,"['bloomberg', 'blueyondergmbh', 'lofidynamics', 'papernest', 'pbdtools']","['@bloomberg', '@papernest ', 'Blue Yonder GmbH', 'PBD Tools LLC', 'lofi dynamics LLC']",,2.83,127,35,38,0,6,8,6,127.0,194.0,90.0,1.5,0,42.91079
+110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10436,1704,270,JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2023-02-21,2016-03-15,362,28.817357001972386,[],2021-07-29,62,"['aikramer2@system1', 'desilinguist@educationaltestingservice', 'dhimmel@related-sciences', 'dyanni3', 'echo66', 'elacx', 'jamesmyatt@capgeminiengineering', 'marcotcr', 'nicolewhite', 'sokollip']",4,10,"['capgeminiengineering', 'educationaltestingservice', 'related-sciences', 'system1']","['@related-sciences', 'Capgemini Engineering', 'Educational Testing Service', 'System1']",,0.0,16,4,84,19,0,3,3,16.0,12.0,90.0,0.8,0,30.92784
+427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10436,1918,149,Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2023-02-21,2020-05-26,143,72.9061876247505,[],2023-02-07,26,"['AniKar@universityofbonn', 'DanielFennhagen', 'alexander-kirillov@facebookairesearch', 'dcyoung@scansemoffettdatadetectlabs', 'dmitryvinn@engineeringmanagerai/mlmeta', 'fatihbaltaci@ddosify', 'fmassa@facebookaireseach', 'lessw2020', 'szagoruyko@mtsai', 'zhiqwang@axera']",8,10,"['axera', 'ddosify', 'engineeringmanagerai/mlmeta', 'facebookaireseach', 'facebookairesearch', 'mtsai', 'scansemoffettdatadetectlabs', 'universityofbonn']","['@ddosify', '@scanse @MoffettData @detectlabs', 'Engineering Manager AI/ML@Meta', 'Facebook AI Reseach', 'Facebook AI Research', 'MTS AI', 'University of Bonn', 'axera']",,0.04,37,11,33,0,0,0,0,37.0,43.0,90.0,1.2,0,36.17634
+50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10370,1703,253,Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2023-02-21,2012-06-18,557,18.608049218149194,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",2023-02-20,186,"['JWarmenhoven', 'MaozGelbart', 'TomAugspurger@microsoft', 'dcgemperline', 'joelostblom@universityofbritishcolumbia', 'lukauskas', 'mwaskom', 'olgabot@bridgebioanalytics', 'phobson@coiled', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",5,10,"['bridgebioanalytics', 'coiled', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'microsoft', 'universityofbritishcolumbia']","['@BridgeBioAnalytics ', '@coiled', '@microsoft', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'University of British Columbia']",,4.92,139,117,130,0,9,3,9,139.0,281.0,90.0,2.0,0,53.51371
+166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10260,2659,405,C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2023-02-21,2011-04-12,619,16.57129672358099,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",2022-09-25,299,"['BlGene', 'NiranthS', 'YunfeiBai', 'benelot@idsc.io', 'erwincoumans', 'fuchuyuan', 'jyc-n', 'lunkhound', 'nicolaichuk', 'xhan0619@ucla']",2,10,"['idsc.io', 'ucla']","['IDSC.io', 'UCLA']",,0.87,44,12,144,5,2,2,2,44.0,40.0,90.0,0.9,0,38.66676
+60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,ydata-profiling,10206,1437,150,Python,https://ydata-profiling.ydata.ai,ydata-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2023-02-21,2016-01-09,371,27.46712802768166,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",2023-01-30,108,"['JosPolfliet@metamaze', 'alexbarros', 'aquemy@ydataai', 'dependabot-preview[bot]', 'dependabot[bot]', 'fabclmnt@ydataai', 'loopyme@cqu-ai', 'romainx', 'sbrugman', 'vascoalramos@ydataai']",3,10,"['cqu-ai', 'metamaze', 'ydataai']","['@CQU-AI ', '@Metamaze', '@ydataai', '@ydataai ']",,4.96,142,96,87,1,9,26,9,142.0,167.0,90.0,1.2,0,46.12641
+536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,10133,279,52,Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2023-02-21,2022-04-08,45,221.659375,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",2023-02-16,22,"['chaimhaas@bloomberg', 'dependabot[bot]', 'godlygeek', 'lkollar@bloomberg', 'matthiasdiener@researchscientistuiuc-pplillinois-ceesd', 'pablogsal@bloomberg', 'pradyunsg@bloombergpythoninfrastructure', 'q-posev@qubitpharmaceuticals', 'tal66', 'tonybaloney@microsoft']",5,10,"['bloomberg', 'bloombergpythoninfrastructure', 'microsoft', 'qubitpharmaceuticals', 'researchscientistuiuc-pplillinois-ceesd']","['@Bloomberg', '@bloomberg', '@bloomberg Python Infrastructure', 'Microsoft', 'Qubit Pharmaceuticals', 'Research Scientist @UIUC-PPL @illinois-ceesd']",,7.46,68,51,11,0,11,14,11,68.0,85.0,90.0,1.2,0,40.61836
+805,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,10079,666,112,Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2023-02-21,2019-04-04,202,49.68521126760563,"['python', 'http', 'trio', 'asyncio']",2023-02-15,186,"['JayH5@yelp', 'Kludex@encode', 'adriangb', 'cdeler@amazon', 'dependabot[bot]', 'florimondmanca', 'j178', 'jcugat', 'sethmlarson@elastic', 'tomchristie@encodeoss']",5,10,"['amazon', 'elastic', 'encode', 'encodeoss', 'yelp']","['@elastic', '@encode', 'Amazon', 'Encode OSS', 'Yelp']",,3.04,118,95,47,0,4,20,4,118.0,179.0,90.0,1.5,0,48.32943
+87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,10062,3854,285,Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2023-02-20,2010-04-30,668,15.046784875026704,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",2023-02-21,1200,"['Upabjojr', 'asmeurer@quansight', 'certik@gsitechnology', 'jksuom', 'mattpap', 'oscarbenjamin', 'oscargus', 'skirpichev', 'smichr', 'sylee957']",2,10,"['gsitechnology', 'quansight']","['@Quansight ', 'GSI Technology']",,41.6,632,354,156,0,7,7,7,632.0,2771.0,90.0,4.4,0,62.50988
+645,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,10045,1861,232,Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2023-02-21,2011-11-23,587,17.11243611584327,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",2023-02-19,446,"['Legorooj', 'bjones1@mississippistateuniversity', 'bwoodsend', 'codewarrior0', 'htgoebel', 'matysek', 'naufraghi@develersrl', 'pyup-bot@pyupio', 'rasky@develers.r.l.', 'rokm']",4,10,"['develers.r.l.', 'develersrl', 'mississippistateuniversity', 'pyupio']","['@develersrl', '@pyupio', 'Develer S.r.l.', 'Mississippi State University']",,7.08,280,249,137,0,13,5,13,280.0,365.0,90.0,1.3,0,56.02904
+24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,10018,1339,442,Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2023-02-20,2018-07-26,238,41.94138755980861,"['rl', 'ml', 'ai', 'google', 'tensorflow']",2022-11-28,15,"['agarwl@google', 'avassalotti@google', 'btaba', 'cwhsu-google@google', 'evcu@google', 'jingconan@storytell.ai', 'joshgreaves@google', 'psc-g@google', 'smoitra-g@googlebrain', 'tlwillke']",3,10,"['google', 'googlebrain', 'storytell.ai']","['@google', '@google ', 'Google', 'Google Brain', 'Google LLC', 'Storytell.ai']",,0.37,1,0,56,3,0,0,0,1.0,3.0,90.0,3.0,0,27.87535
+71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9827,2254,194,Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2023-02-21,2015-06-15,401,24.48878604485582,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",2023-02-18,854,"['RonnyPfannschmidt@redhatinsights', 'The-Compiler@bruhinsoftware', 'asottile', 'benjaminp', 'bluetech', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'flub', 'hpk42@merlinux', 'nicoddemus@esss']",5,10,"['bruhinsoftware', 'esss', 'freelancer,upforhire', 'merlinux', 'redhatinsights']","['@RedHatInsights ', 'Bruhin Software', 'ESSS', 'Freelancer, up for hire', 'merlinux']",,6.25,251,167,94,0,6,23,6,251.0,424.0,90.0,1.7,0,57.03065
+412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9809,705,90,Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2023-02-21,2014-03-13,466,21.010709914320685,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",2023-02-21,147,"['DanielChabrowski', 'asottile', 'chriskuehl@yelp', 'geieredgar', 'georgeyk', 'lorenzwalthert@ponte-energy-partners', 'pre-commit-ci[bot]', 'scop@upcloudltd', 'struys@twitter', 'tdeo@pennylane-hq']",5,10,"['pennylane-hq', 'ponte-energy-partners', 'twitter', 'upcloudltd', 'yelp']","['@UpCloudLtd ', '@Yelp', '@pennylane-hq ', '@ponte-energy-partners', 'Twitter']",,3.27,192,185,109,0,10,20,10,192.0,333.0,90.0,1.7,0,52.33644
+22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9806,1992,289,Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2023-02-20,2017-04-24,304,32.226291079812206,[],2023-02-17,204,"['EricMichaelSmith', 'JackUrb', 'alexholdenmiller@facebookresearch', 'emilydinan@facebookairesearch', 'jaseweston', 'klshuster', 'samhumeau@nabla', 'stephenroller', 'uralik', 'yf225']",3,10,"['facebookairesearch', 'facebookresearch', 'nabla']","['@facebookresearch ', '@nabla', 'Facebook AI Research']",,4.4,107,81,71,0,3,6,3,107.0,161.0,90.0,1.5,0,47.50863
+38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9789,4013,321,Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2023-02-21,2015-04-09,410,23.82579972183588,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",2023-02-20,623,"['Carreau@quansight-labs', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'gnestor@hammiesshorts', 'ivanov', 'jasongrout@databricks', 'jdfreder@google', 'jtpio@quantstack', 'minrk@simularesearchlaboratory', 'takluyver']",8,10,"['amazonwebservices', 'databricks', 'google', 'hammiesshorts', 'quansight-labs', 'quantstack', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@QuantStack', '@databricks', '@google ', 'Amazon Web Services', 'Hammies Shorts', 'Simula Research Laboratory', 'University of California, Berkeley.']",,8.58,153,99,96,0,21,38,21,153.0,321.0,90.0,2.1,0,60.60717
+653,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9748,346,111,Rust,,py-spy: Sampling profiler for Python programs,benfred,2023-02-21,2018-08-01,238,40.95798319327731,"['profiler', 'python', 'performance-analysis', 'profiling']",2022-12-09,31,"['Jongy', 'adamchainz@django,djangolondon', 'akhramov', 'benfred@nvidia', 'dependabot[bot]', 'github-actions[bot]', 'jarus@sap', 'kxepal', 'marcstreeter', 'messense']",3,10,"['django,djangolondon', 'nvidia', 'sap']","['@SAP ', '@django, @djangolondon', '@nvidia']",,0.52,31,11,56,2,3,7,3,31.0,25.0,90.0,0.8,0,33.3898
+517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,9743,810,90,Python,,pyright: Static type checker for Python,microsoft,2023-02-21,2019-03-12,206,47.26334026334026,[],2023-02-21,86,"['PylanceBot', 'bschnurr@microsoft', 'cdce8p', 'debonte@microsoft', 'dependabot[bot]', 'erictraut@microsoftcorp.', 'heejaechang@microsoft', 'jakebailey@microsoft', 'msfterictraut@microsoft', 'rchiodo@microsoft']",2,10,"['microsoft', 'microsoftcorp.']","['@Microsoft ', 'Microsoft', 'Microsoft Corp.']",,21.23,425,410,48,0,71,95,71,425.0,1138.0,90.0,2.7,0,52.32759
+315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9684,510,139,C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2023-02-21,2020-05-28,142,67.788,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",2023-02-14,56,"['CodeCox', 'DataExplorerUser', 'JMatthysen@benoitpremiumthreading', 'Jah-On', 'Mstpyt', 'Pcothren@benoitpremiumthreading', 'hoffstadt@metecs', 'iFreilicht', 'liu-kan@wbg,cas', 'v-ein']",3,10,"['benoitpremiumthreading', 'metecs', 'wbg,cas']","['Benoit Premium Threading', 'Metecs', 'WBG, CAS']",,2.56,186,134,33,0,7,8,7,186.0,192.0,90.0,1.0,0,42.43637
+225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9631,626,126,Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2023-02-20,2018-02-23,260,36.94082191780822,"['python', 'webassembly']",2023-02-20,164,"['casatir@éducationnationale', 'dalcde', 'henryiii@princetonuniversity', 'hoodmane@mitmathdepartment', 'mdboom@microsoft', 'msabramo@adobe', 'pre-commit-ci[bot]', 'rth', 'ryanking13', 'wlach@voltus']",6,10,"['adobe', 'microsoft', 'mitmathdepartment', 'princetonuniversity', 'voltus', 'éducationnationale']","['@adobe', 'MIT Math Department', 'Microsoft', 'Princeton University', 'Voltus, Inc.', 'Éducation Nationale']",,15.6,345,257,61,0,16,13,16,345.0,622.0,90.0,1.8,0,55.85916
+142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,9457,1858,120,Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2023-02-21,2019-07-24,187,50.57219251336898,[],2023-01-26,107,"['ArzelaAscoIi@developerdeepset-ai', 'NimaBoscarino@huggingface', 'PhilipMay@telekom', 'andrewkittredge@calcbench', 'cpcdoy', 'fros1y', 'kwang2049', 'nreimers@huggingface', 'osanseviero@huggingface', 'sidhantls']",4,10,"['calcbench', 'developerdeepset-ai', 'huggingface', 'telekom']","['@telekom', 'Calcbench', 'Developer @deepset-ai', 'Hugging Face', 'Huggingface', 'huggingface']",,1.63,134,29,44,1,2,9,2,134.0,141.0,90.0,1.1,0,40.96096
+238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9406,405,123,Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2023-02-21,2021-08-24,78,120.3692870201097,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",2023-02-21,54,"['Batalex', 'alucarddelta', 'aminalaee', 'andrewbolster@farsetlabswhitehatsec', 'byrman', 'chrisgoddard@pdi', 'chriswhite199', 'dependabot[bot]', 'jalvaradosegura', 'tiangolo']",2,10,"['farsetlabswhitehatsec', 'pdi']","['@FarsetLabs @WhiteHatSec', 'PDI']",,2.94,103,27,18,0,2,5,2,103.0,194.0,90.0,1.9,0,38.00588
+155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9406,1377,325,Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2023-02-21,2018-03-30,255,36.783240223463686,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",2022-12-20,21,"['BBerastegui', 'alessaba', 'connorskees', 'fabaff', 'joeyliechty@bloomreach', 'neutrinoguy', 'oXis', 's0md3v', 'sirfoga', 'snehm@na']",2,10,"['bloomreach', 'na']","['Bloomreach', 'NA']",,0.04,3,0,60,2,0,4,4,3.0,1.0,90.0,0.3,0,26.32857
+655,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9186,537,226,Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2023-02-21,2015-11-08,380,24.146451370634622,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",2023-01-15,56,"['1st1@edgedb', 'Jackenmen', 'asvetlov@neu.ro', 'cclauss@christianclauss', 'claws', 'elprans@edgedb', 'fantix@edgedb', 'graingert', 'jensbjorgensen', 'jlaine']",3,10,"['christianclauss', 'edgedb', 'neu.ro']","['@edgedb', 'Christian Clauss', 'EdgeDB Inc.', 'Neu.ro']",,0.6,12,3,89,1,1,11,1,12.0,21.0,90.0,1.8,0,36.44397
+371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,9068,440,74,Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2023-02-19,2021-03-05,102,88.28372739916551,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",2023-02-15,15,"['CharbelAD', 'G21-Goose', 'JonFreer', 'TheJokersThief', 'chrieke@up42', 'kinow@barcelonasupercomputingcenter', 'marceloprates', 'matthewfeickert@universityofwisconsin-madison', 'mfbehrens99', 'sacovo@studentfhnw']",4,10,"['barcelonasupercomputingcenter', 'studentfhnw', 'universityofwisconsin-madison', 'up42']","['@up42', 'Barcelona Supercomputing Center', 'University of Wisconsin-Madison', 'student@FHNW']",,0.83,9,3,24,0,1,9,1,9.0,17.0,90.0,1.9,0,32.7836
+157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,9065,1539,250,Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2023-02-21,2010-10-17,644,14.066725781423187,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",2023-02-07,304,"['ThiefMaster@cern/indico', 'amy-lei', 'birkenfeld@fzjülich', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'tux21b', 'untitaker@getsentry']",4,10,"['cern/indico', 'fzjülich', 'getsentry', 'sentry']","['@getsentry ', 'CERN / @indico ', 'FZ Jülich', 'Sentry']",,1.29,66,51,150,0,3,4,3,66.0,43.0,90.0,0.7,0,47.23291
+398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,9018,901,267,Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2023-02-21,2012-12-06,532,16.92386058981233,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest']",2023-01-18,196,"['CaselIT', 'fxfitz@centurylink', 'jmvrbanac@liquidweb', 'kgriffs', 'lichray@broadcom', 'myusko', 'painterjd@.', 'santeyio', 'steven-upside', 'vytas7']",4,10,"['.', 'broadcom', 'centurylink', 'liquidweb']","['.', '@liquidweb', 'Broadcom Inc.', 'CenturyLink']",,1.06,48,19,124,1,8,7,8,48.0,47.0,90.0,1.0,0,45.40573
+126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,8958,1077,146,Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2023-02-21,2020-01-23,160,55.68916518650089,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",2023-02-17,159,"['RezaYazdaniAminabadi@microsoft', 'ShadenSmith@microsoft', 'awan-10@microsoft', 'cli99@microsoft', 'conglongli@microsoft', 'jeffra@microsoft', 'mrwyattii', 'samyam', 'stas00@stasosphereonline/huggingface', 'tjruwase']",2,10,"['microsoft', 'stasosphereonline/huggingface']","['@microsoft', '@microsoft ', 'Microsoft', 'Stasosphere Online Inc. / HuggingFace Inc.']",,9.04,449,277,38,0,17,18,17,449.0,840.0,90.0,1.9,0,50.10762
+523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,8951,772,123,Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2023-02-21,2022-04-07,45,195.1931464174455,"['artificial-intelligence', 'deep-learning', 'text-to-image']",2023-02-12,16,"['Conight', 'JiaHeng-DLUT', 'Light-V', 'Veldrovive', 'kashif', 'krish240574', 'lucidrains', 'nousr', 'rom1504@google', 'zaaachos']",1,10,['google'],['@google'],,11.23,18,5,11,0,334,376,334,17.0,19.0,90.0,1.1,0,33.88867
+132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8947,1516,294,Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2023-02-21,2015-11-03,381,23.474137931034484,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",2022-07-29,112,"['GJena', 'JDRomano2@universityofpennsylvania', 'PGijsbers@eindhovenuniversityoftechnology', 'TomAugspurger@microsoft', 'bartleyn@usc', 'beckernick@nvidia', 'pronojitsaha', 'rasbt@lightning-ai,universityofwisconsin-madison', 'rhiever', ""weixuanfu@children'shospitalofphiladelphia""]",7,10,"[""children'shospitalofphiladelphia"", 'eindhovenuniversityoftechnology', 'lightning-ai,universityofwisconsin-madison', 'microsoft', 'nvidia', 'universityofpennsylvania', 'usc']","['@Lightning-AI , University of Wisconsin-Madison', '@NVIDIA', '@microsoft', ""Children's Hospital of Philadelphia"", 'Eindhoven University of Technology', 'USC', 'University of Pennsylvania']",,0.35,17,3,89,7,0,4,4,17.0,13.0,90.0,0.8,0,38.03047
+244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8923,2295,297,Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2023-02-21,2016-10-10,332,26.853396388650044,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",2023-02-17,260,"['GavinZZ@aws', 'aahung@aws', 'brettstack@amazonwebservices-serverlessapplications', 'hawflau@aws', 'hoffa@aws', 'jfuss@awslambda', 'keetonian@leland', 'mndeveci', 'praneetap@aws', 'sanathkr@rarecamp']",5,10,"['amazonwebservices-serverlessapplications', 'aws', 'awslambda', 'leland', 'rarecamp']","['@AWS Lambda', '@RareCamp', '@aws', '@aws ', 'AWS', 'Amazon Web Services - Serverless Applications', 'Leland']",,7.81,470,349,78,0,18,10,18,470.0,284.0,90.0,0.6,0,54.13288
+470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,8880,1535,231,Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2023-02-21,2019-07-23,187,47.45038167938932,"['nlp', 'language-understanding', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'infoxlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'wavlm', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model']",2023-02-10,55,"['Dod-o', 'MarkWuNLP@microsoftresearch', 'addf400@harbininstituteoftechnology', 'donglixp@microsoftresearch', 'getao@microsoft', 'gitnlp', 'lockon-n', 'ranpox', 'shumingma@microsoftresearch', 'wolfshow']",3,10,"['harbininstituteoftechnology', 'microsoft', 'microsoftresearch']","['Harbin Institute of Technology', 'Microsoft', 'Microsoft Research']",,6.06,120,52,44,0,0,1,1,121.0,154.0,90.0,1.3,0,41.41346
+961,util,https://github.com/charliermarsh/ruff,,,,charliermarsh/ruff,ruff,8846,278,40,Rust,https://beta.ruff.rs,"ruff: An extremely fast Python linter, written in Rust.",charliermarsh,2023-02-21,2022-08-09,28,314.3248730964467,"['linter', 'pep8', 'python', 'python3', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'ruff']",2023-02-21,128,"['JonathanPlasse@drotek', 'akx@valohai', 'andersk@zulip', 'charliermarsh', 'colin99d', 'edgarrmondragon@meltano', 'harupy', 'not-my-profile', 'sbrugman', 'squiddy@momox']",5,10,"['drotek', 'meltano', 'momox', 'valohai', 'zulip']","['@Meltano ', '@valohai ', '@zulip', 'Drotek', 'momox']",,49.71,2307,2097,7,0,230,402,230,2313.0,4979.0,90.0,2.2,0,55.45157
+5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8788,1628,231,Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2023-02-20,2009-11-30,690,12.730960264900663,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",2023-01-26,383,"['alq666@datadog', 'benoitc@enkimultimedia', 'berkerpeksag', 'collinanderson', 'davisp', 'hramezani@crate', 'javabrett@confluentinc', 'matrixise@mgx.io', 'sirkonst', 'tilgovi@nytimes']",6,10,"['confluentinc', 'crate', 'datadog', 'enkimultimedia', 'mgx.io', 'nytimes']","['@DataDog ', '@confluentinc', '@crate ', '@nytimes', 'Enki Multimedia', 'Mgx.IO']",,0.5,99,30,161,1,0,7,7,99.0,126.0,90.0,1.3,0,49.53829
+92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8766,1030,183,Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2023-02-20,2018-12-27,216,40.42292490118577,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",2023-02-21,130,"['arnavgarg1@predibase', 'connor-mccorm', 'dantreiman@predibase', 'geoffreyangus', 'jimthompson5802', 'jppgks@predibase', 'justinxzhao', 'msaisumanth@uber', 'tgaddair@uber', 'w4nderlust']",2,10,"['predibase', 'uber']","['@Predibase', '@uber ', 'Predibase', 'Uber']",,17.62,370,311,51,0,15,9,15,371.0,524.0,90.0,1.4,0,50.24584
+134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8743,1392,306,Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2023-02-21,2017-11-19,274,31.858927641853203,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",2023-02-20,140,"['abgese', 'boyuangong', 'dependabot[bot]', 'droidadroit@texasa&muniversity', 'gabrieldemarmiesse@preligens', 'haifeng-jin@keras-teamtensorflowgooglers', 'qingquansong', 'satyakesav@texasa&muniversity,collegestation', 'taobupt', 'tl-yang']",4,10,"['keras-teamtensorflowgooglers', 'preligens', 'texasa&muniversity', 'texasa&muniversity,collegestation']","['@keras-team @tensorflow @googlers', 'Preligens', 'Texas A&M University', 'Texas A&M University, College Station']",,1.54,59,42,64,0,3,11,3,59.0,56.0,90.0,0.9,0,44.01804
+495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,8585,801,130,C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2023-02-21,2018-06-26,243,35.30846063454759,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",2023-02-21,236,"['Mause@duckdblabs', 'Mytherin@duckdblabs', 'Tishj', 'hannes@cwi', 'krlmlr@cynkra', 'lnkuiper@cwi', 'pdet@duckdblabs', 'samansmink@universityofamsterdam', 'taniabogatsch', 'tiagokepe']",4,10,"['cwi', 'cynkra', 'duckdblabs', 'universityofamsterdam']","['@cynkra ', '@duckdblabs', 'CWI', 'DuckDB Labs', 'University of Amsterdam']",,143.83,987,814,57,0,8,7,8,987.0,1819.0,90.0,1.8,0,59.11768
+151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8440,1112,270,Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2023-02-20,2013-06-30,503,16.76503972758229,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",2021-10-22,36,"['RomanYankovsky@urbaninfrastructure', 'danong@google', 'dependabot-preview[bot]', 'dependabot-support', 'evandempsey', 'jammmo', 'jeffakolb', 'jschnurr@google', 'pyup-bot@pyupio', 'sloria']",3,10,"['google', 'pyupio', 'urbaninfrastructure']","['@pyupio', '@urbaninfrastructure ', 'Google']",,0.0,11,3,117,16,0,4,4,11.0,6.0,90.0,0.5,0,28.79614
+100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8419,1595,547,Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2023-02-21,2011-05-03,616,13.664038952005564,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",2020-04-25,30,"['Xsardas1000', 'fdb@nodebox', 'frederik-elwert@ruhr-universitybochum', 'jgrivolla@universitatpompeufabra', 'kkoch986@zentail', 'markus-beuckelmann', 'napsternxg@twitter-research', 'newworldorder', 'sloria', 'tom-de-smedt']",5,10,"['nodebox', 'ruhr-universitybochum', 'twitter-research', 'universitatpompeufabra', 'zentail']","['@nodebox ', '@twitter-research ', 'Ruhr-University Bochum', 'Universitat Pompeu Fabra', 'Zentail']",,0.0,5,1,144,34,1,0,1,5.0,5.0,90.0,1.0,0,27.21469
+125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8392,592,108,Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2023-02-20,2018-06-21,243,34.41359109548916,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",2023-02-20,110,"['YarShev', 'amyskov', 'anmyachev', 'dchigarev', 'devin-petersohn@ponder', 'gshimansky@intelcorporation', 'mvashishtha@ponder.io', 'prutskov', 'vnlitvinov', 'williamma12']",3,10,"['intelcorporation', 'ponder', 'ponder.io']","['Intel Corporation', 'Ponder', 'ponder.io']",,9.25,559,371,57,0,14,14,14,559.0,572.0,90.0,1.0,0,49.96798
+815,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,8368,1050,105,Python,,Rembg is a tool to remove images background,danielgatis,2023-02-21,2020-08-10,132,63.25701943844492,"['image-processing', 'background-removal', 'python']",2022-12-28,33,"['0xflotus', 'MadMaxInfinity', 'carlogrisetti', 'cclauss@christianclauss', 'danielgatis', 'iory@japan', 'jangop@recommendy', 'jaric', 'rcrvano', 'samiede@leonardo-interactive']",4,10,"['christianclauss', 'japan', 'leonardo-interactive', 'recommendy']","['@Leonardo-Interactive ', 'Christian Clauss', 'Japan', 'Recommendy']",,1.71,75,56,31,2,16,13,16,75.0,152.0,90.0,2.0,0,40.64398
+53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8287,998,208,Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2023-02-21,2012-03-08,571,14.491381463902073,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",2023-02-20,330,"['DrTodd13@intellabs', 'esc@anaconda', 'gmarkall@nvidia', 'guilhermeleobas', 'markflorisson@mlabs', 'pitrou', 'rjenc29', 'seibert', 'sklam', 'stuartarchibald']",4,10,"['anaconda', 'intellabs', 'mlabs', 'nvidia']","['@nvidia', 'Anaconda Inc.', 'Intel Labs', 'MLabs']",,27.08,386,213,133,0,5,17,5,385.0,918.0,90.0,2.4,0,57.58023
+282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8227,640,134,Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2023-02-21,2012-11-18,535,15.365261472785486,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",2022-11-15,268,"['andrewelkins', 'anishnya@caen', 'chrishaines', 'crsmithdev', 'cyriaka90', 'jadchaar@amazon', 'krisfremen', 'ramonsaraiva@consumeraffairs', 'systemcatch', 'zcribe']",3,10,"['amazon', 'caen', 'consumeraffairs']","['@CAEN', '@ConsumerAffairs ', 'Amazon']",,0.52,8,0,125,3,0,5,5,8.0,7.0,90.0,0.9,0,38.77284
+84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,8206,2660,275,Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2023-02-21,2011-06-12,610,13.443014275684531,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",2023-02-20,407,"['ChadFulton', 'bashtage', 'j-grana6', 'jbrockmendel', 'josef-pkt', 'jseabold@hcahealthcare', 'kshedden', 'thequackdaddy', 'vincentarelbundock', 'wesm@voltrondata']",2,10,"['hcahealthcare', 'voltrondata']","['@voltrondata', 'HCA Healthcare']",,4.79,448,181,142,0,3,4,3,450.0,617.0,90.0,1.4,0,50.75221
+294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8176,1910,319,Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2023-02-21,2009-02-02,733,11.149814923046952,[],2023-02-16,179,"['alex', 'bitprophet@jumptrading', 'bz2', 'dorianpula@amberpenguinsoftware', 'jaraco@google', 'lndbrg', 'mwilliamson', 'offbyone', 'ploxiln@healthbyro', 'scottkmaxwell@codecobblers,inc']",5,10,"['amberpenguinsoftware', 'codecobblers,inc', 'google', 'healthbyro', 'jumptrading']","['@HealthByRo ', '@jumptrading', 'Amber Penguin Software', 'Code Cobblers, Inc', 'Google']",,3.42,97,35,171,0,0,13,13,97.0,187.0,90.0,1.9,0,52.3012
+116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,8114,764,104,Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2023-02-21,2019-04-18,200,40.39687055476529,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",2023-02-21,185,"['921kiyo', 'AntonyMilneQB', 'DmitriiDeriabinQB@quantumblack', 'andrii-ivaniuk', 'deepyaman@foundingmleclaypotai', 'idanov@quantumblack', 'limdauto', 'lorenabalan@softwareengineeratquantumblacklabs', 'merelcht@quantumblack', 'yetudada@quantumblack']",3,10,"['foundingmleclaypotai', 'quantumblack', 'softwareengineeratquantumblacklabs']","['@quantumblack', '@quantumblack ', 'Founding MLE @claypotai', 'QuantumBlack', 'Software Engineer at @quantumblacklabs ']",,6.71,421,233,47,0,7,9,7,420.0,464.0,90.0,1.1,0,49.01443
+773,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,8112,717,64,Python,https://lama-cleaner-docs.vercel.app/,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2023-02-21,2021-11-15,66,122.37931034482759,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",2023-02-19,12,"['BedirYilmaz@tiermobility', 'LinuxSuRen@opensource-f2f', 'Niek@nivademab.v.', 'Sanster', 'blessedcoolant', 'callmepantoine', 'davidbejarcaceres', 'eltociear@bandism', 'fiskbil', 'loretoparisi@musixmatchdev']",5,10,"['bandism', 'musixmatchdev', 'nivademab.v.', 'opensource-f2f', 'tiermobility']","['@Musixmatchdev ', '@bandism ', '@opensource-f2f', 'Nivadema B.V.', 'Tier Mobility']",,7.83,88,70,15,0,42,36,42,88.0,150.0,90.0,1.7,0,42.52804
+706,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,8096,1891,173,C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2023-02-21,2016-12-02,324,24.932688077430708,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",2023-02-20,183,"['benjaminum', 'errissa', 'griegler', 'prewettg', 'qianyizh@formatechnologies', 'reyanshsolis@agv-iit-kgpacr-iitkgp', 'ssheorey@intelisl', 'syncle@postech', 'takanokage', 'yxlao@hku-cs']",5,10,"['agv-iit-kgpacr-iitkgp', 'formatechnologies', 'hku-cs', 'intelisl', 'postech']","['@AGV-IIT-KGP @acr-iitkgp ', 'Forma Technologies', 'HKU-CS', 'Intel ISL', 'POSTECH']",,4.02,352,193,76,0,1,4,1,352.0,496.0,90.0,1.4,0,49.24217
+128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,8056,715,147,Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2023-02-21,2015-09-19,387,20.785845927018062,[],2023-02-19,150,"['ChristopherDavisUCI@ucirvine', 'afonit', 'binste', 'domoritz@cmu,apple', 'eitanlees', 'ellisonbg@amazonwebservices', 'jakevdp@google', 'joelostblom@universityofbritishcolumbia', 'mattijn', 'palewire@reuters']",6,10,"['amazonwebservices', 'cmu,apple', 'google', 'reuters', 'ucirvine', 'universityofbritishcolumbia']","['Amazon Web Services', 'CMU, Apple', 'Google', 'Reuters', 'UC Irvine', 'University of British Columbia']",,4.21,269,199,90,0,2,4,2,270.0,768.0,90.0,2.8,0,52.43499
+758,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,8018,321,77,JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2023-02-21,2022-09-06,24,332.1065088757396,"['electron-app', 'macos', 'stable-diffusion']",2023-02-13,16,"['AEtheve', 'CrudeDiatribe', 'EthanMcKanna', 'Iktwo', 'Itangalo', 'divamgupta', 'lachlanjc@watershed-climate', 'piotrski@noaignite', 'trebor', 'w3cdotorg']",2,10,"['noaignite', 'watershed-climate']","['@watershed-climate', 'NoA Ignite']",,3.9,96,11,6,0,14,30,14,96.0,207.0,90.0,2.2,0,35.34106
+29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,7998,1233,71,Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2023-02-21,2017-09-11,284,28.133668341708542,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",2023-02-18,368,"['Aylr', 'NathanFarmer@gxlabs', 'Shinnnyshinshin@superconductive', 'abegong@superconductive', 'alexsherstinsky', 'anthonyburdi@gxlabs', 'cdkini', 'eugmandel@superconductive', 'jcampbell', 'roblim']",2,10,"['gxlabs', 'superconductive']","['GX Labs', 'Superconductive', 'Superconductive ']",,40.6,952,841,66,0,55,41,55,953.0,1848.0,90.0,1.9,0,58.17139
+394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7905,715,112,Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2023-02-21,2018-06-25,243,32.49266001174398,"['python', 'async', 'websockets', 'http']",2023-02-20,224,"['JayH5@yelp', 'Kludex@encode', 'adriangb', 'aminalaee', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'florimondmanca', 'graingert', 'tiangolo', 'tomchristie@encodeoss']",4,10,"['encode', 'encodeoss', 'freelancer,upforhire', 'yelp']","['@encode', 'Encode OSS', 'Freelancer, up for hire', 'Yelp']",,3.46,113,86,57,0,13,27,13,113.0,245.0,90.0,2.2,0,51.36611
+7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7900,1721,238,Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2023-02-20,2014-10-03,437,18.048302872062663,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",2023-02-20,140,"['JordonPhillips@amazonwebservices', 'aws-sdk-python-automation', 'awstools', 'danielgtaylor@istreamplanet', 'jamesls', 'joguSD', 'kyleknap@amazonwebservices', 'nateprewitt@amazonwebservices', 'rayluo@microsoft', 'shepazon@aws']",4,10,"['amazonwebservices', 'aws', 'istreamplanet', 'microsoft']","['@AWS', 'Amazon Web Services', 'Microsoft', 'iStreamPlanet']",,10.04,180,140,102,0,0,149,149,178.0,348.0,90.0,2.0,0,54.57842
+951,web,https://github.com/bottlepy/bottle,,,,bottlepy/bottle,bottle,7900,1444,313,Python,http://bottlepy.org/,bottle.py is a fast and simple micro-framework for python web-applications.,bottlepy,2023-02-21,2009-06-30,712,11.093279839518555,"['python', 'wsgi', 'rest', 'web-framework', 'bottle']",2022-09-05,227,"['defnull@gwdggöttingen', 'eric-wieser@universityofcambridge', 'fredj@camptocamp', 'hartwork', 'iurisilvio@buser', 'michael-k', 'myzhan@alibaba-inc', 'oz123@spectrocloud', 'sc68cal', 'sgala@redhat']",7,10,"['alibaba-inc', 'buser', 'camptocamp', 'gwdggöttingen', 'redhat', 'spectrocloud', 'universityofcambridge']","['@camptocamp', 'Alibaba-inc', 'Buser', 'GWDG Göttingen', 'Red Hat', 'Spectro Cloud', 'University of Cambridge']",,0.29,14,6,166,6,0,6,6,14.0,8.0,90.0,0.6,0,41.30719
+367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7875,1903,72,Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2023-02-21,2021-07-17,83,94.23076923076923,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",2023-02-16,69,"['DefTruth@paddlepaddle', 'FateScript@megvii-basedetection', 'GOATmessi7', 'Joker316701882@megviibasedetection', 'ankandrew', 'developer0hye@markany', 'ianpundar@wuhanuniversity', 'manangoel99@wandb', 'wwqgtxx', 'yancie-yjr@hust']",7,10,"['hust', 'markany', 'megvii-basedetection', 'megviibasedetection', 'paddlepaddle', 'wandb', 'wuhanuniversity']","['@Megvii-BaseDetection ', '@PaddlePaddle', '@wandb ', 'HUST', 'MarkAny', 'Megvii BaseDetection', 'Wuhan University']",,0.79,99,51,19,0,1,3,1,99.0,122.0,90.0,1.2,0,40.77119
+970,study,https://github.com/openai/spinningup,,,,openai/spinningup,spinningup,7852,1838,217,Python,https://spinningup.openai.com/,spinningup: An educational resource to help anyone learn deep reinforcement learning.,openai,2023-02-21,2018-11-07,224,35.05357142857143,[],2020-02-07,25,"['albertwujj', 'allanbreyes', 'alok', 'bchess@openai', 'christopherhesse@openai', 'jachiam', 'maksay', 'marko-bast', 'mimoralea', 'rootulp@celestiaorg']",2,10,"['celestiaorg', 'openai']","['@celestiaorg', '@openai ', 'OpenAI']",,0.0,10,4,52,37,0,1,1,10.0,6.0,90.0,0.6,0,21.20581
+422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7795,962,201,Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2023-02-21,2017-06-16,296,26.271064034665383,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",2023-02-03,134,"['eb8680', 'fehiepsi@google', 'fritzo@generatebiomedicines', 'jpchen@facebook', 'karalets', 'martinjankowiak', 'neerajprad@meta', 'null-a', 'ordabayevy@broadinstitute', 'stefanwebb']",5,10,"['broadinstitute', 'facebook', 'generatebiomedicines', 'google', 'meta']","['@facebook', 'Broad Institute', 'Generate Biomedicines', 'Google', 'Meta']",,1.37,30,23,69,1,4,6,4,30.0,64.0,90.0,2.1,0,44.77261
+615,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7777,2076,474,Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2023-02-21,2014-06-27,451,17.216635041113218,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",2023-02-15,174,"['Tattoo', 'asyrjasalo', 'jrantanen@reaktor', 'jussimalinen@reaktor', 'khusa@reaktorinnovations', 'mikahanninen@robocorp', 'mkorpela@reaktor', 'pekkaklarck@eligaoy', 'spooning', 'yanne@reaktor']",4,10,"['eligaoy', 'reaktor', 'reaktorinnovations', 'robocorp']","['@reaktor ', 'Eliga Oy', 'Reaktor', 'Reaktor Innovations', 'Robocorp']",,9.48,172,91,105,0,13,15,13,172.0,294.0,90.0,1.7,0,53.2116
+440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7774,781,120,Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2023-02-20,2018-08-22,235,33.08085106382979,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",2023-02-20,204,"['HassanAlsamahi@brightskiesinc', 'ananyamukh6', 'dependabot[bot]', 'ducha-aiki@czechtechnicaluniversityinprague', 'dvd42', 'edgarriba@kornia.org', 'johnnv1', 'pre-commit-ci[bot]', 'priba@computervisioncenter', 'shijianjian@kaust']",5,10,"['brightskiesinc', 'computervisioncenter', 'czechtechnicaluniversityinprague', 'kaust', 'kornia.org']","['Brightskies Inc', 'Computer Vision Center', 'Czech Technical University in Prague', 'KAUST', 'Kornia.org']",,7.23,238,189,55,0,7,8,7,238.0,340.0,90.0,1.4,0,51.79183
+95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7770,584,141,Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2023-02-21,2014-09-27,438,17.71661237785016,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",2022-12-08,72,"['Ben-Epstein@rungalileo', 'JovanVeljanoski', 'NickCrews', 'byaminov', 'honno@quansight', 'kmcentush@cuberg', 'maartenbreddels@maartenbreddels', 'rieder@universitédegenève', 'saikiran2603@navigateconsulting', 'xdssio@xdss']",7,10,"['cuberg', 'maartenbreddels', 'navigateconsulting', 'quansight', 'rungalileo', 'universitédegenève', 'xdss']","['@Quansight', '@maartenbreddels', '@navigateconsulting ', '@rungalileo', 'Cuberg', 'Université de Genève', 'XDSS']",,3.37,88,22,102,2,0,43,43,88.0,143.0,90.0,1.6,0,48.44287
+10,util,https://github.com/cython/cython,,,,cython/cython,cython,7686,1363,232,Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2023-02-20,2010-11-21,639,12.020107238605899,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",2023-02-21,490,"['da-woods', 'dalcinl@ecrcatkaust', 'insertinterestingnamehere@utaustincsemprogram', 'jdemeyer@be-mobile', 'larsmans', 'markflorisson@mlabs', 'mattip@quansightlabs', 'robertwb', 'scoder', 'vitek']",5,10,"['be-mobile', 'ecrcatkaust', 'mlabs', 'quansightlabs', 'utaustincsemprogram']","['@ecrc at KAUST ', 'Be-Mobile', 'MLabs', 'Quansight Labs', 'UT Austin CSEM Program']",,8.21,194,116,149,0,6,15,6,195.0,399.0,90.0,2.0,0,56.51943
+547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7600,805,123,Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2023-02-21,2018-02-21,261,29.118773946360154,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",2023-02-21,227,"['HideakiImamura@preferrednetworks', 'c-bata', 'contramundum53', 'crcrpar@nvidia', 'g-votte', 'himkt', 'hvy@preferrednetworks', 'nzw0301@ibm', 'sile', 'toshihikoyanase@preferrednetworks']",3,10,"['ibm', 'nvidia', 'preferrednetworks']","['@ibm', 'NVIDIA', 'Preferred Networks', 'Preferred Networks, Inc.']",,43.5,292,231,61,0,12,11,12,292.0,750.0,90.0,2.6,0,56.08551
+322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7583,809,145,Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2023-02-21,2015-09-24,386,19.601550960118168,"['graphql', 'python', 'relay', 'framework', 'graphene']",2022-12-25,196,"['Cito@ghga-de', 'Globegitter', 'adamcharnock', 'aryaniyaps', 'dan98765@checkr', 'ekampf@twingate', 'erikwrede', 'jkimbo', 'justinrmiller@zefr-inc', 'syrusakbary@wasmerio']",5,10,"['checkr', 'ghga-de', 'twingate', 'wasmerio', 'zefr-inc']","['@Twingate ', '@ZEFR-INC ', '@ghga-de', '@wasmerio  ', 'Checkr']",,0.75,36,22,90,2,4,8,4,36.0,69.0,90.0,1.9,0,44.75897
+28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7365,765,146,Python,,Trax — Deep Learning with Clear Code and Speed,google,2023-02-21,2019-10-05,176,41.71116504854369,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",2023-02-15,78,"['SauravMaheshkar@ml-gde', 'afrozenator@google', 'hawkinsp@google', 'henrykmichalewski', 'j2i2', 'koz4k@mimuw', 'sebastianjaszczur', 'syzymon@universityofwarsaw', 'trax-robot', 'wangpengmit@mitcsail']",5,10,"['google', 'mimuw', 'mitcsail', 'ml-gde', 'universityofwarsaw']","['@ml-gde', 'Google', 'MIMUW', 'MIT CSAIL', 'University of Warsaw']",,0.4,16,6,41,0,0,5,5,16.0,8.0,90.0,0.5,0,38.82244
+650,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,7358,247,72,JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals",plasma-umass,2023-02-21,2019-12-17,166,44.2871883061049,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",2023-02-20,37,"['Birdi7', 'Insutanto', 'SnoopJ', 'cclauss@christianclauss', 'dependabot[bot]', 'emeryberger@universityofmassachusettsamherst', 'groutr@lynkertechnologies', 'jaltmayerpizzorno', 'johanvergeer@johanvergeer', 'sternj@umassamherst']",5,10,"['christianclauss', 'johanvergeer', 'lynkertechnologies', 'umassamherst', 'universityofmassachusettsamherst']","['@johanvergeer', 'Christian Clauss', 'Lynker Technologies', 'UMass Amherst', 'University of Massachusetts Amherst']",,10.12,83,50,39,0,16,12,16,83.0,138.0,90.0,1.7,0,47.03754
+165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7356,1488,125,Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2023-02-21,2018-05-09,250,29.424,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",2023-02-16,100,"['BrambleXu', 'Collinbrown95@statisticscanada', 'Hironsan', 'SwiftPredator@haustierglück.de(deprecated)', 'c-w@noom', 'cgill95@leibnizuniversitäthannover', 'dependabot[bot]', 'j-frei', 'kuraga', 'youichiro@classi']",5,10,"['classi', 'haustierglück.de(deprecated)', 'leibnizuniversitäthannover', 'noom', 'statisticscanada']","['@noom ', 'Classi', 'Haustierglück.de (deprecated)', 'Leibniz Universität Hannover', 'Statistics Canada']",,7.71,101,50,58,0,8,7,8,101.0,112.0,90.0,1.1,0,48.20806
+70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7329,1746,226,Python,https://docs.pymc.io/,pymc: Bayesian Modeling in Python,pymc-devs,2023-02-21,2009-05-05,720,10.177147391390598,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'pytensor']",2023-02-20,439,"['ColCarroll@google', 'aloctavodia@imasl-conicet', 'apatil', 'brandonwillard', 'bwengals', 'ferrine@msueconomics/skoltechcs', 'jsalvatier', 'michaelosthege@forschungszentrumjülichgmbh', 'ricardoV94', 'twiecki@pymclabs']",5,10,"['forschungszentrumjülichgmbh', 'google', 'imasl-conicet', 'msueconomics/skoltechcs', 'pymclabs']","['Forschungszentrum Jülich GmbH', 'Google', 'IMASL-CONICET', 'MSU Economics / Skoltech CS', 'PyMC Labs']",,15.73,266,177,168,0,23,5,23,266.0,651.0,90.0,2.4,0,60.46996
+455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7143,1617,466,Python,http://tensorlayerx.com,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2023-02-20,2016-06-07,350,20.400244798041616,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",2023-02-18,132,"['ChrisWu1997@columbiauniversity', 'DEKHTIARJonathan@nvidia', 'JingqingZ@imperialcollegelondon,pangaeadata', 'Laicheng0830@pengchenglab', 'lgarithm', 'luomai@universityofedinburgh', 'quantumiracle', 'wagamamaz', 'warshallrho@pekinguniversity', 'zsdonghao@pekinguniversity']",6,10,"['columbiauniversity', 'imperialcollegelondon,pangaeadata', 'nvidia', 'pekinguniversity', 'pengchenglab', 'universityofedinburgh']","['@NVIDIA', 'Columbia University', 'Imperial College London, Pangaea Data', 'Peking University', 'Peng Cheng Lab', 'University of Edinburgh']",,0.06,0,0,82,0,0,12,12,0.0,0.0,90.0,0.0,0,38.5739
+197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,7107,697,169,Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2023-02-21,2020-07-05,137,51.71413721413722,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",2022-02-25,29,"['ClashLuke', 'ConnorJL', 'Mistobaan', 'StellaAthena@boozallenhamilton', 'anishthite@clarosai', 'kevinwatkins', 'leogao2', 'lucidrains', 'sdtblck', 'srulikbd']",2,10,"['boozallenhamilton', 'clarosai']","['@ClarosAI', 'Booz Allen Hamilton']",,0.0,0,0,32,12,0,2,2,0.0,0.0,90.0,0.0,0,19.03195
+753,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,7085,644,232,Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2023-02-21,2022-09-08,23,296.9760479041916,[],2023-01-17,2,"['edvenson', 'karpathy']",0,10,[],[],,0.19,16,3,6,1,0,0,0,16.0,3.0,90.0,0.2,0,10.09209
+846,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,7079,1111,160,Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2023-02-21,2016-10-26,330,21.451515151515153,"['data-science', 'feature-extraction', 'time-series']",2022-12-31,84,"['CYHSM', 'MaxBenChrist', 'dbarbier', 'delyanr', 'earthgecko', 'jneuff', 'kempa-liehr@universityofauckland', 'nikhase', 'nils-braun', 'pnb@universityofillinoisurbana–champaign']",2,10,"['universityofauckland', 'universityofillinoisurbana–champaign']","['University of Auckland', 'University of Illinois Urbana–Champaign']",,0.31,23,14,77,0,1,5,1,23.0,42.0,90.0,1.8,0,38.4815
+286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,7078,491,100,Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2023-02-21,2017-10-23,278,25.43429158110883,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",2023-01-28,73,"['abdusco@abdusco', 'bgrins@mozilla', 'dependabot-preview[bot]', 'dependabot[bot]', 'fgregg@datamade,partner', 'jacobian@latacora', 'rgieseke', 'rixx@pretalx.com', 'russss', 'simonw@datasette']",6,10,"['abdusco', 'datamade,partner', 'datasette', 'latacora', 'mozilla', 'pretalx.com']","['@datamade, Partner', 'AbdusCo', 'Datasette', 'Latacora', 'Mozilla', 'pretalx.com']",,8.23,160,71,65,1,17,25,17,160.0,441.0,90.0,2.8,0,51.08547
+171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,6982,1067,142,Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2023-02-21,2019-10-25,173,40.192434210526315,[],2023-02-20,113,"['bottler', 'classner@epicgames', 'davidsonic@meta', 'davnov134@facebookairesearch', 'gkioxari@caltech', 'jcjohnson@universityofmichigan/fair', 'megluyagao', 'nikhilaravi', 'patricklabatut@facebook', 'shapovalov@facebookairesearch']",6,10,"['caltech', 'epicgames', 'facebook', 'facebookairesearch', 'meta', 'universityofmichigan/fair']","['Caltech', 'Epic Games', 'Facebook', 'Facebook AI Research', 'Meta', 'University of Michigan / FAIR']",,6.85,121,57,40,0,4,4,4,121.0,189.0,90.0,1.6,0,48.29862
+150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6952,1088,192,C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2023-02-21,2017-07-18,292,23.796577017114913,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",2023-02-20,1065,"['Evgueni-Petrov-aka-espetrov', 'VestniK', 'andrey-khropov@yandexnv', 'arcadia-devtools', 'frazenshtein', 'georgthegreat', 'kizill@yandex', 'orivej', 'shadchin@yandex', 'smertnik3sh']",2,10,"['yandex', 'yandexnv']","['@Yandex', 'Yandex', 'Yandex NV']",,453.54,171,62,68,0,4,15,4,171.0,204.0,90.0,1.2,0,58.09104
+382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,6939,1047,97,Python,https://haystack.deepset.ai,"haystack: :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.",deepset-ai,2023-02-21,2019-11-14,170,40.612876254180605,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'squad', 'elasticsearch', 'information-retrieval', 'summarization', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python', 'chatgpt', 'gpt-3', 'large-language-models', 'generative-ai']",2023-02-21,157,"['Timoeller@deepset', 'ZanSara@deepset-ai', 'bogdankostic@deepset-ai', 'brandenchan', 'julian-risch@deepset', 'masci@deepset-ai', 'tanaysoni', 'tholor@deepset', 'tstadel', 'vblagoje']",2,10,"['deepset', 'deepset-ai']","['@deepset-ai', '@deepset-ai ', 'deepset']",,15.85,738,496,40,0,26,15,26,738.0,1032.0,90.0,1.4,0,51.74174
+65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6914,1574,126,Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2023-02-21,2019-11-23,169,40.77337826453243,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",2023-02-20,115,"['TremaMiguel@konfio', 'Yard1@softwareengineeranyscale', 'andrinbuerli', 'batmanscode', 'daikikatsuragawa@japan', 'goodwanghan', 'moezali1@pycaret', 'ngupta23@o9solutions', 'timho102003', 'tvdboom']",5,10,"['japan', 'konfio', 'o9solutions', 'pycaret', 'softwareengineeranyscale']","['Japan', 'Konfio', 'PyCaret', 'Software Engineer @ Anyscale', 'o9 Solutions Inc.']",,19.25,314,241,40,0,4,9,4,314.0,338.0,90.0,1.1,0,49.93948
+532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6807,556,86,Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2023-02-21,2019-06-12,193,35.26943005181347,[],2023-02-07,110,"['3janeAI', 'Jasha10', 'dependabot[bot]', 'jan-matthis@google', 'jieru-hu', 'jrapin@facebookairesearch', 'odelalleau', 'omry@facebookairesearch', 'pixelb@facebook', 'shagunsodhani@facebook']",3,10,"['facebook', 'facebookairesearch', 'google']","['@facebook', 'Facebook AI Research', 'Google']",,3.77,123,80,45,0,4,6,4,123.0,168.0,90.0,1.4,0,44.81556
+82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6805,1076,92,Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2023-02-21,2018-11-27,221,30.771963824289404,"['sqlalchemy', 'sql', 'python']",2023-02-20,603,"['CaselIT', 'dianaclarke', 'empty', 'gdementen@federalplanningbureau', 'gordthompson@self-employed', 'jbellis@datastax', 'jek', 'lelit', 'pjenvey@mozilla', 'zzzeek@redhat']",5,10,"['datastax', 'federalplanningbureau', 'mozilla', 'redhat', 'self-employed']","['DataStax', 'Federal Planning Bureau', 'Mozilla', 'Red Hat', 'self-employed']",,15.02,365,286,52,0,27,65,27,367.0,1200.0,90.0,3.3,0,61.00064
+131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6746,1214,212,Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2023-02-21,2015-07-02,398,16.913323782234958,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",2022-12-07,88,"['KEggensperger@universityoftübingen', 'aaronkl@awsberlin', 'adomashnev', 'ahn1340@centerforarmyanalysisandsimulation', 'axsapronov', 'eddiebergman@automl.org', 'franchuterivera@universityoffreiburg', 'gui-miotto@uni-freiburg', 'mfeurer@albert-ludwigs-universitätfreiburg', 'stokasto']",7,10,"['albert-ludwigs-universitätfreiburg', 'automl.org', 'awsberlin', 'centerforarmyanalysisandsimulation', 'uni-freiburg', 'universityoffreiburg', 'universityoftübingen']","['AWS Berlin', 'Albert-Ludwigs-Universität Freiburg', 'Center for Army Analysis and Simulation', 'Uni-Freiburg', 'University of Freiburg', 'University of Tübingen', 'automl.org']",,2.02,38,19,93,3,2,5,2,38.0,44.0,90.0,1.2,0,42.13433
+389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6745,1233,151,Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2023-02-21,2017-10-03,281,23.991361788617887,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",2022-12-16,46,"['John-Almardeny', 'KulikDM', 'RoelBouman', 'ZainNasrullah@royalbankofcanada(rbc)', 'agoodge@nationaluniversityofsingapore', 'ingonader', 'mbongaerts@erasmusmedicalcentre', 'tam17aki', 'xhan97@universityofmacau', 'yzhao062@carnegiemellonuniversity']",5,10,"['carnegiemellonuniversity', 'erasmusmedicalcentre', 'nationaluniversityofsingapore', 'royalbankofcanada(rbc)', 'universityofmacau']","['Carnegie Mellon University', 'Erasmus Medical Centre', 'National University of Singapore', 'Royal Bank of Canada (RBC)', 'University of Macau']",,3.6,27,6,66,2,10,6,10,27.0,43.0,90.0,1.6,0,41.62461
+824,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6725,1123,392,Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2023-02-19,2019-05-03,198,33.84255930984903,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",2021-12-18,6,"['Hefeweizen', 'RF-Nelson@spotify', 'blokhin@tilde-lab', 'firmai@alanturinginstitute,firmai', 'gaulinmp@universityofutah', 'skvrahul']",4,10,"['alanturinginstitute,firmai', 'spotify', 'tilde-lab', 'universityofutah']","['@tilde-lab', 'Alan Turing Institute, FirmAI', 'Spotify', 'University of Utah']",,0.0,0,0,46,14,0,0,0,0.0,0.0,90.0,0.0,0,16.07364
+716,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6638,564,104,Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2023-02-21,2012-09-10,545,12.173434634529736,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",2023-02-20,182,"['atugushev', 'blueyed@freelancer,upforhire', 'davidovich', 'hramezani@crate', 'jdufresne@pioneervalleybooks', 'nvie@liveblocks', 'pre-commit-ci[bot]', 'richafrank@quantopian', 'vphilippon@ubisoftinc', 'webknjaz@ansiblecoreredhatofficial']",7,10,"['ansiblecoreredhatofficial', 'crate', 'freelancer,upforhire', 'liveblocks', 'pioneervalleybooks', 'quantopian', 'ubisoftinc']","['@Ansible Core @ @RedHatOfficial', '@Ubisoftinc', '@crate ', '@liveblocks', '@quantopian', 'Freelancer, up for hire', 'Pioneer Valley Books']",,2.46,117,74,127,0,11,11,11,117.0,192.0,90.0,1.6,0,53.238
+215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6603,135,50,Python,,icecream: 🍦 Never use print() to debug again.,gruns,2023-02-21,2018-02-13,262,25.188555858310625,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",2022-12-04,21,"['Akshay-Thakare@twilio', 'DominikRafacz@biogenies', 'HelinXu@pku-epic', 'alexmojaki', 'atusy@fixpoint', 'baopham', 'ehud-nym', 'gruns@https://arc.io,https://pep.dev', 'palfrey', 'ss18@kpn']",6,10,"['biogenies', 'fixpoint', 'https://arc.io,https://pep.dev', 'kpn', 'pku-epic', 'twilio']","['@BioGenies ', '@PKU-EPIC ', '@Twilio', '@kpn', 'Fixpoint INC.', 'https://arc.io, https://pep.dev']",,0.62,9,2,61,3,1,1,1,9.0,10.0,90.0,1.1,0,32.36563
+133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6590,1009,126,Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2023-02-19,2011-09-06,598,11.017434917602102,[],2021-11-29,93,"['WeichenXu123@databricks', 'birbbit', 'cclauss@christianclauss', 'dwf', 'jaberg@kindred.ai', 'marctorsoc@globality', 'marload@contxts-io', 'maxpumperla', 'temporaer@microsoft', 'yamins81']",6,10,"['christianclauss', 'contxts-io', 'databricks', 'globality', 'kindred.ai', 'microsoft']","['@Microsoft', '@contxts-io ', '@databricks', 'Christian Clauss', 'Globality', 'kindred.ai']",,0.0,23,7,140,15,0,1,1,23.0,17.0,90.0,0.7,0,34.18091
+67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6586,753,229,Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2023-02-20,2012-10-22,539,12.212450331125828,"['python', 'rest', 'flask', 'mongodb']",2022-11-10,211,"['amagdas', 'arnauorriols@denoland', 'einarhuseby', 'girogiro', 'graffic@myself', 'joshvillbrandt', 'kynan@google', 'nckpark', 'nicolaiarocci@cir2000', 'petrjasek@sourcefabric']",5,10,"['cir2000', 'denoland', 'google', 'myself', 'sourcefabric']","['@denoland ', 'CIR 2000', 'Google', 'MySelf', 'Sourcefabric']",,0.73,7,3,126,3,0,5,5,7.0,5.0,90.0,0.7,0,40.72882
+121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,6584,826,92,Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2023-02-21,2018-04-30,251,26.20125071063104,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",2023-02-17,274,"['alangenfeld@elementl', 'bengotow@foundry376', 'dpeng817@elementl', 'gibsondan', 'hellendag@elementl', 'mgasner', 'prha', 'schrockn@elementl', 'sryza@elementl', 'yuhan@elementl']",2,10,"['elementl', 'foundry376']","['Elementl', 'Foundry376']",,64.4,1933,1484,59,0,61,135,61,1932.0,4145.0,90.0,2.1,0,59.02248
+459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6555,1158,134,Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2023-02-21,2016-03-10,362,18.06496062992126,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",2023-02-20,266,"['beckjake', 'cmcarthur@fishtownanalytics', 'drewbanin@dbt-labs', 'emmyoop@dbt-labs', 'gshank', 'iknox-fa@fishtownanalytics', 'jtcohen6@dbt-labs', 'kconvey@verilylifesciences', 'leahwicz', 'nathaniel-may@dbt-labs']",3,10,"['dbt-labs', 'fishtownanalytics', 'verilylifesciences']","['@dbt-labs', '@dbt-labs ', 'Fishtown Analytics', 'Verily Life Sciences']",,10.67,1006,676,85,0,47,22,47,1006.0,1572.0,90.0,1.6,0,56.56106
+288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6533,549,67,Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2023-02-20,2013-03-10,519,12.577282728272827,"['python', 'testing', 'fuzzing', 'property-based-testing']",2023-02-17,302,"['Cheukting@anaconda', 'DRMacIver', 'Zac-HD@anthropic', 'Zalathar', 'alexwlchan@weomecollection', 'amw-zero@vts', 'honno@quansight', 'pyup-bot@pyupio', 'rsokl', 'sobolevn']",6,10,"['anaconda', 'anthropic', 'pyupio', 'quansight', 'vts', 'weomecollection']","['@Quansight', '@pyupio', '@wellcomecollection  ', 'Anaconda', 'Anthropic', 'VTS']",,14.88,85,60,121,0,101,134,101,85.0,159.0,90.0,1.9,0,58.12019
+141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6518,842,158,Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2023-02-21,2017-09-08,284,22.893125940792775,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",2023-02-19,69,"['Seth-Rothschild', 'frances-h', 'github-actions[bot]', 'gsheni@alteryx', 'kmax12', 'machineFL', 'rwedge', 'sbadithe', 'tamargrey@alteryxinnovationlabs', 'thehomebrewnerd']",2,10,"['alteryx', 'alteryxinnovationlabs']","['@alteryx', 'Alteryx Innovation Labs']",,6.04,147,117,66,0,25,28,25,147.0,101.0,90.0,0.7,0,45.57716
+230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6508,2073,113,Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2023-02-21,2015-10-30,381,17.04940119760479,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",2022-03-11,45,"['Midnighter@unseenbio', 'adamkgoldfarb', 'andrewsanchez@ankihub', 'codyrioux@netflix', 'hwartig@contentful', 'isms', 'jbrambleDC@localfoodgroup', 'liudonghs@hellosoda', 'niloch', 'pjbull@drivendata']",7,10,"['ankihub', 'contentful', 'drivendata', 'hellosoda', 'localfoodgroup', 'netflix', 'unseenbio']","['@UnseenBio', '@contentful', 'AnkiHub', 'DrivenData', 'Hello Soda', 'Local Food Group', 'Netflix']",,0.04,6,1,89,12,0,0,0,6.0,4.0,90.0,0.7,0,29.6664
+153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6428,620,81,Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2023-02-21,2013-11-10,484,13.269242111471542,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",2023-02-21,204,"['dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'lafrech@nobatek', 'mgetka', 'pyup-bot@pyupio', 'sirosen', 'sloria', 'taion', 'zblz']",2,10,"['nobatek', 'pyupio']","['@Nobatek', '@pyupio']",,1.92,55,41,113,0,0,18,18,55.0,57.0,90.0,1.0,0,47.09598
+356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6414,610,246,Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2023-02-21,2019-09-17,179,35.803827751196174,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'cli', 'high-performance-computing', 'kubernetes']",2023-02-20,64,"['akyrola@missingexponent', 'cclauss@christianclauss', 'dependabot[bot]', 'jackie-ob', 'jasonge27@netflix', 'mdneuzerling', 'oavdeev@outerbounds', 'romain-intel', 'savingoyal@outerbounds', 'valayDave']",4,10,"['christianclauss', 'missingexponent', 'netflix', 'outerbounds']","['@Outerbounds', 'Christian Clauss', 'Missing Exponent', 'Netflix']",,2.94,117,74,42,0,31,25,31,117.0,171.0,90.0,1.5,0,47.03671
+556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6401,288,63,Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2023-02-21,2018-09-22,230,27.761462205700123,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",2023-01-18,22,"['EPronovost', 'Ldpe2G@sunyat-senuniversity', 'MilesCranmer@princetonuniversity', 'adam-r-kowalski@simspace', 'arogozhnikov@aperturescience', 'boeddeker@paderbornuniversity', 'cgarciae@quansight', 'danielhavir@apple', 'ollema', 'rentainhe@idea']",8,10,"['aperturescience', 'apple', 'idea', 'paderbornuniversity', 'princetonuniversity', 'quansight', 'simspace', 'sunyat-senuniversity']","['@apple', 'Aperture Science', 'IDEA', 'Paderborn University', 'Princeton University', 'Quansight', 'Sun Yat-sen University', 'simspace']",,2.71,14,7,54,1,3,2,3,14.0,17.0,90.0,1.2,0,38.93087
+602,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6288,662,227,Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2023-02-20,2010-06-29,660,9.525210993291495,[],2017-12-20,49,"['Altonymous', 'R4wm@https://github.com/verizondigital/', 'abanna@ixsystems', 'cosmin@facebook', 'ddworken@google', 'deanmalmgren@datascopeanalytics', 'edwardmeshuris', 'nfarina@kuto', 'onyxfish@fivethirtyeight', 'richardtylee@br']",8,10,"['br', 'datascopeanalytics', 'facebook', 'fivethirtyeight', 'google', 'https://github.com/verizondigital/', 'ixsystems', 'kuto']","['@br ', '@facebook', '@fivethirtyeight', '@iXsystems ', 'Datascope Analytics', 'Google', 'Kuto', 'https://github.com/VerizonDigital/']",,0.0,1,1,154,63,0,0,0,1.0,0.0,90.0,0.0,0,24.10701
+800,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6286,1680,227,Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2023-02-21,2010-10-18,644,9.756541019955653,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",2023-02-17,468,"['DasIch@zalandose', 'EnTeQuAk@mozilla', 'RonnyPfannschmidt@redhatinsights', 'birkenfeld@fzjülich', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'mitsuhiko@sentry', 'pgjones', 'untitaker@getsentry']",6,10,"['fzjülich', 'getsentry', 'mozilla', 'redhatinsights', 'sentry', 'zalandose']","['@RedHatInsights ', '@getsentry ', 'FZ Jülich', 'Mozilla', 'Sentry', 'Zalando SE']",,2.81,82,80,150,0,7,7,7,82.0,61.0,90.0,0.7,0,52.63041
+20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6240,415,112,OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2023-02-18,2017-11-10,275,22.632124352331605,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",2023-02-17,234,"['MaggieMoss', 'arthaud@facebook', 'dkgi', 'fahndrich', 'grievejia@facebook', 'mrkmndz@facebook', 'pradeep90', 'shannonzhu', 'sinancepel', 'stroxler@metaplatforms']",2,10,"['facebook', 'metaplatforms']","['@facebook', '@facebook ', 'Facebook Inc.', 'Meta Platforms']",,48.08,23,9,64,0,2,16,2,23.0,27.0,90.0,1.2,0,46.43409
+681,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6197,848,216,Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2023-02-21,2014-11-24,430,14.402058432934927,[],2022-09-29,52,"['JasperSnoek', 'clemisch', 'dougalm@googlebrain', 'duvenaud@universityoftoronto', 'gcampanella@visa', 'j-towns@universityofamsterdam', 'kcarnold', 'mattjj@google', 'rainwoodman@loonr&d', 'yukoba']",6,10,"['google', 'googlebrain', 'loonr&d', 'universityofamsterdam', 'universityoftoronto', 'visa']","['@visa', 'Google', 'Google Brain', 'Loon R&D', 'University of Amsterdam', 'University of Toronto']",,0.08,4,1,100,5,0,0,0,4.0,3.0,90.0,0.8,0,31.6566
+410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,6176,547,84,Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2023-02-21,2017-05-31,299,20.65551839464883,"['python', 'asyncio', 'asgi', 'http', 'http-server']",2023-02-21,152,"['Kludex@encode', 'almarklein@independentsoftwareengineer', 'dependabot[bot]', 'euri10', 'florimondmanca', 'graingert', 'johnthagen', 'maximilianhurl', 'simonw@datasette', 'tomchristie@encodeoss']",4,10,"['datasette', 'encode', 'encodeoss', 'independentsoftwareengineer']","['@encode', 'Datasette', 'Encode OSS', 'Independent software engineer']",,3.42,123,96,70,0,7,25,7,123.0,283.0,90.0,2.3,0,50.04647
+879,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,6165,1028,108,Python,https://www.sktime.net,sktime: A unified framework for machine learning with time series,sktime,2023-02-21,2018-11-06,224,27.504780114722752,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",2023-02-20,235,"['MatthewMiddlehurst@universityofeastanglia', 'TonyBagnall@universityofeastanglia', 'ViktorKaz', 'aiwalter@scikit-time', 'fkiraly@gfkse,ucl,sktime', 'goastler', 'jasonlines@universityofeastanglia(uea)', 'lmmentel', 'mloning@uclalan-turing-instituteesrc-cdrc', 'sajaysurya@universitycollegelondon']",6,10,"['gfkse,ucl,sktime', 'scikit-time', 'uclalan-turing-instituteesrc-cdrc', 'universitycollegelondon', 'universityofeastanglia', 'universityofeastanglia(uea)']","['@GfKse, @UCL, @sktime', '@UCL @alan-turing-institute @ESRC-CDRC ', '@scikit-time', 'University College London', 'University of East Anglia', 'University of East Anglia (UEA)']",,18.33,530,354,52,0,18,9,18,530.0,1521.0,90.0,2.9,0,58.84311
+682,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,6148,841,76,Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2023-02-21,2021-12-20,61,100.31701631701631,[],2022-07-26,5,"['AK391@huggingface', 'ablattmann', 'crowsonkb', 'pesser@runwayml', 'rromb']",2,10,"['huggingface', 'runwayml']","['@runwayml ', 'Huggingface']",,0.44,70,15,14,7,0,0,0,70.0,101.0,90.0,1.4,0,21.0764
+73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6095,2167,164,Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2023-02-21,2013-05-09,510,11.93092841163311,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",2023-02-17,149,"['BibMartin@datartibus', 'Conengmo', 'JamesGardiner@jgardinerconsultingltd.', 'birdage@neyasystems', 'fullonic', 'halfdanrump@nowcast', 'joshuacano', 'ocefpaf', 'themiurgo@spotify', 'wrobstory@stripe']",6,10,"['datartibus', 'jgardinerconsultingltd.', 'neyasystems', 'nowcast', 'spotify', 'stripe']","['DatArtibus', 'J Gardiner Consulting Ltd.', 'Neya Systems LLC', 'Nowcast Inc.', 'Spotify', 'Stripe']",,1.9,130,109,119,0,2,2,2,130.0,203.0,90.0,1.6,0,49.57497
+537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,6089,1844,178,Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2023-02-21,2017-12-13,271,22.468634686346864,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",2023-02-20,331,"['Emrys365@shanghaijiaotonguniversity', 'Fhrozen@hitachir&d', 'ShigekiKarita', 'b-flo', 'ftshijt@carnegiemellonuniversity', 'hirofumi0810@fairatmetaai', 'kamo-naoyuki', 'kan-bayashi@nagoyauniversity', 'mergify[bot]', 'sw005320']",5,10,"['carnegiemellonuniversity', 'fairatmetaai', 'hitachir&d', 'nagoyauniversity', 'shanghaijiaotonguniversity']","['Carnegie Mellon University', 'FAIR at Meta AI', 'Hitachi R&D', 'Nagoya University', 'Shanghai Jiao Tong University']",,38.65,247,142,63,0,6,9,6,247.0,653.0,90.0,2.6,0,57.44013
+44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,6054,700,126,Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2023-02-21,2017-07-02,294,20.561863173216885,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",2023-01-30,111,"['adalmia96@microsoft', 'gclen', 'jlmelville', 'josephcourtney', 'leriomaggio@anaconda', 'lmcinnes@tutteinstituteformathematicsandcomputing', 'paxtonfitzpatrick@contextlabcosanlab', 'sleighsoft', 'timsainb@harvardmedicalschool', 'usul83@popsa-hq']",6,10,"['anaconda', 'contextlabcosanlab', 'harvardmedicalschool', 'microsoft', 'popsa-hq', 'tutteinstituteformathematicsandcomputing']","['@ContextLab @cosanlab', '@anaconda ', '@popsa-hq ', 'Harvard Medical School', 'Microsoft', 'Tutte Institute for Mathematics and Computing']",,1.06,40,16,69,1,1,5,1,40.0,60.0,90.0,1.5,0,42.18101
+599,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,6037,1125,243,Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2023-02-21,2014-05-08,458,13.156600249066003,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",2022-05-31,15,"['cclauss@christianclauss', 'domlysz', 'ericgrosso', 'kant', 'lfdebrux@alphagov', 'lobnico', 'mef@mango-information-systems', 's-leger', 'stuarta0', 'wolfgangp']",3,10,"['alphagov', 'christianclauss', 'mango-information-systems']","['@Mango-information-systems', '@alphagov', 'Christian Clauss']",,0.19,26,2,107,9,2,2,2,26.0,67.0,90.0,2.6,0,31.0254
+313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,6028,276,72,Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2023-02-21,2018-10-06,228,26.3725,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",2023-02-11,86,"['backwardspy@binkhq', 'chrahunt', 'cs01', 'dependabot[bot]', 'gaborbernat@bloomberglp', 'itsayellow', 'meowmeowmeowcat', 'pfmoore', 'spazm@lemurlabs.dev', 'uranusjr@astronomer']",4,10,"['astronomer', 'binkhq', 'bloomberglp', 'lemurlabs.dev']","['@astronomer', '@binkhq ', 'Bloomberg LP', 'LemurLabs.dev']",,0.65,59,30,53,0,1,12,1,59.0,78.0,90.0,1.3,0,40.84233
+777,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,5989,327,52,Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2023-02-21,2020-07-25,134,44.504246284501065,[],2023-01-14,24,"['1MLightyears', 'ShigekiKarita', 'ZibingZhang', 'afrozchakure@citi', 'chunibyo-wly', 'erica-w-fu', 'jianan1104', 'odashi@inspired-co', 'ryosuketc@google', 'ryxcommar']",3,10,"['citi', 'google', 'inspired-co']","['@Citi', '@google', '@inspired-co']",,1.71,60,48,31,1,3,3,3,60.0,182.0,90.0,3.0,0,38.07639
+783,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,5872,299,92,Python,,dream-textures: Stable Diffusion built-in to Blender,carson-katri,2023-02-21,2022-09-08,23,246.1317365269461,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",2023-02-15,10,"['Dekker3D', 'GottfriedHofmann@blenderdiplom', 'JasonHoku@jasonhoku', 'NullSenseStudio', 'blastframe@blastframe', 'carson-katri', 'eltociear@bandism', 'gregnr', 'playerla', 'timmyL17@adobe']",5,10,"['adobe', 'bandism', 'blastframe', 'blenderdiplom', 'jasonhoku']","['@bandism ', 'Adobe', 'Blastframe', 'BlenderDiplom', 'JasonHoku']",,2.44,191,110,6,0,10,20,10,191.0,485.0,90.0,2.5,0,38.77146
+345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5822,376,68,Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2023-02-20,2018-06-15,244,23.791009924109748,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",2023-02-21,77,"['Skylion007@facebookresearch', 'bzinberg', 'choldgraf@ucberkeley', 'chrisjsewell@imperialcollegelondon', 'dependabot[bot]', 'kiendang', 'martinRenou@quantstack', 'matthew-brett@londoninterdisciplinaryschool', 'matthewfeickert@universityofwisconsin-madison', 'mwouts']",6,10,"['facebookresearch', 'imperialcollegelondon', 'londoninterdisciplinaryschool', 'quantstack', 'ucberkeley', 'universityofwisconsin-madison']","['@QuantStack', '@facebookresearch ', 'Imperial College London', 'London Interdisciplinary School', 'UC Berkeley', 'University of Wisconsin-Madison']",,1.13,44,28,57,0,6,28,6,44.0,117.0,90.0,2.7,0,46.8101
+69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5804,1595,113,Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2023-02-21,2012-02-25,573,10.119053549190536,"['pygithub', 'python', 'github', 'github-api']",2023-02-20,295,"['akfish', 'allevin', 'enix223', 'jacquev6', 'jayfk', 'jzelinskie@authzed', 'martinqt', 's-t-e-v-e-n-k@suse', 'sfdye@zendesk', 'thialfihar']",3,10,"['authzed', 'suse', 'zendesk']","['@authzed', '@zendesk ', 'SUSE']",,0.5,115,37,134,0,3,9,3,115.0,202.0,90.0,1.8,0,47.6147
+969,ml,https://github.com/thu-ml/tianshou,,,,thu-ml/tianshou,tianshou,5768,905,83,Python,https://tianshou.readthedocs.io,tianshou: An elegant PyTorch deep reinforcement learning library.,thu-ml,2023-02-21,2018-04-16,253,22.7727016356458,"['pytorch', 'policy-gradient', 'dqn', 'double-dqn', 'a2c', 'ddpg', 'ppo', 'td3', 'sac', 'imitation-learning', 'mujoco', 'atari', 'bcq', 'library', 'rl', 'drl', 'benchmark', 'trpo', 'npg', 'cql']",2023-02-03,49,"['ChenDRAG@tsinghuauniversity', 'Markus28', 'Mehooz@hedgefund', 'Trinkle23897@openai', 'danagi', 'duburcqa', 'gogoduan@tsinghuauniversity', 'nuance1979', 'rocknamx8', 'youkaichao']",3,10,"['hedgefund', 'openai', 'tsinghuauniversity']","['@openai ', 'Hedge Fund', 'Tsinghua University']",,1.21,47,29,59,1,7,5,7,47.0,93.0,90.0,2.0,0,40.69802
+68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5740,2520,157,C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2023-02-21,2017-03-26,308,18.610467809170913,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",2023-02-21,274,"['MyreMylar', 'PeterShinners', 'Starbuck5', 'ankith26', 'charlesej', 'dlon', 'illume', 'llindstrom', 'sublimator', 'takluyver']",0,10,[],[],,5.25,283,229,72,0,4,13,4,283.0,495.0,90.0,1.7,0,43.90623
+730,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5707,1378,191,Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2023-02-21,2016-09-15,335,16.99234368353892,"['machine-learning', 'security', 'benchmarking']",2023-01-31,130,"['AlexeyKurakin', 'WindQAQ@googlers', 'carlini', 'david-berthelot', 'fartashf@universityoftoronto', 'goodfeli', 'jonasguan', 'michaelshiyu', 'npapernot@universityoftoronto', 'steverab']",2,10,"['googlers', 'universityoftoronto']","['@googlers ', 'University of Toronto']",,0.02,3,1,78,1,0,1,1,3.0,0.0,90.0,0.0,0,30.58329
+106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5696,969,147,Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2023-02-20,2016-10-23,330,17.23821876351059,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",2023-01-27,45,"['NicolasHug', 'PFGimenez@centralesupelec', 'ashtou', 'hengji-liu', 'janniks@hirosystems', 'kman0', 'lenatech', 'mahermalaeb', 'naturale0', 'timgates42@iress']",3,10,"['centralesupelec', 'hirosystems', 'iress']","['@CentraleSupelec', '@hirosystems', 'IRESS']",,0.54,23,9,77,1,0,2,2,23.0,16.0,90.0,0.7,0,35.09811
+643,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5689,356,33,Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2023-02-21,2014-09-06,441,12.883532837269492,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",2023-01-21,87,"['altendky', 'bbc2', 'greyli', 'hugochinchilla@codiumteam', 'jacobian@latacora', 'pjona', 'smsearcy', 'theskumar@fueled', 'ulyssessouza@docker', 'venthur@debianflix-tech']",5,10,"['codiumteam', 'debianflix-tech', 'docker', 'fueled', 'latacora']","['@Fueled', '@debian @flix-tech ', '@docker ', 'Codium Team', 'Latacora']",,0.77,23,13,103,1,2,5,2,23.0,19.0,90.0,0.8,0,40.29713
+723,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5688,816,137,Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2023-02-21,2018-05-31,246,23.041666666666668,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",2023-02-14,71,"['Arshiaarya', 'Tanmay-Kulkarni101', 'akelleh@barclaysib;columbia', 'allcontributors[bot]', 'amit-sharma', 'andresmor-ms', 'bloebp@amazon', 'darthtrevino@microsoft', 'kailashbuki', 'petergtz@amazonwebservices']",4,10,"['amazon', 'amazonwebservices', 'barclaysib;columbia', 'microsoft']","['@Microsoft ', 'Amazon', 'Amazon Web Services', 'Barclays IB; Columbia']",,6.23,133,89,58,0,4,3,4,133.0,337.0,90.0,2.5,0,47.76062
+910,perf,https://github.com/exaloop/codon,,,,exaloop/codon,codon,5649,187,48,C++,https://docs.exaloop.io/codon,"codon: A high-performance, zero-overhead, extensible Python compiler using LLVM",exaloop,2023-02-21,2021-09-27,73,77.08187134502924,"['python', 'compiler', 'llvm', 'high-performance', 'gpu-programming', 'parallel-programming']",2023-02-06,7,"['HarisSmajlovic@universityofvictoria', 'arshajii', 'inumanag@universityofvictoria', 'isnumanagic', 'learnforpractice', 'markhend', 'stephenberry']",1,10,['universityofvictoria'],['University of Victoria'],,1.73,140,100,17,0,5,4,5,140.0,316.0,90.0,2.3,0,32.81497
+193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5623,518,46,Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2023-02-21,2013-09-02,494,11.376011560693641,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",2023-02-26,280,"['akonsta@opennms', 'anirudnits@google', 'blueyed@freelancer,upforhire', 'gofr', 'jdufresne@pioneervalleybooks', 'mkurnikov', 'orsinium@sendcloud', 'staticdev@swisscom', 'sztamas', 'timothycrosley@stripe']",7,10,"['freelancer,upforhire', 'google', 'opennms', 'pioneervalleybooks', 'sendcloud', 'stripe', 'swisscom']","['@sendcloud', 'Freelancer, up for hire', 'Google', 'OpenNMS', 'Pioneer Valley Books', 'Stripe', 'Swisscom']",,2.31,154,121,115,0,8,15,8,154.0,168.0,90.0,1.1,0,53.34844
+538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5618,1388,136,Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2023-02-21,2019-08-05,185,30.320740169622205,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",2023-02-18,206,"['VahidooX@nvidia', 'blisc', 'chiphuyen', 'ekmb@nyu,nvidia', 'ericharper', 'okuchaiev@nvidia', 'redoctopus@nvidia', 'titu1994@nvidia', 'tkornuta-nvidia@nvidia', 'yzhang123@nvidia']",2,10,"['nvidia', 'nyu,nvidia']","['@NVIDIA', '@nvidia', 'NVIDIA', 'NYU, NVIDIA']",,18.37,671,575,43,0,13,12,13,671.0,988.0,90.0,1.5,0,51.93578
+439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5566,999,143,Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2023-02-21,2012-07-08,554,10.039165163617625,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",2022-11-14,196,"['Melevir@zipsale', 'Tomasz-Kluczkowski', 'adamgreig', 'ask@robinhoodmarkets', 'david-thorman@kloudless', 'igeorgievsky', 'jerzyk@trilab.pl', 'mher', 'pazur', 'tebeka@353solutions']",5,10,"['353solutions', 'kloudless', 'robinhoodmarkets', 'trilab.pl', 'zipsale']","['353solutions', '@robinhoodmarkets ', 'Kloudless Inc.', 'Zipsale', 'trilab.pl']",,0.27,27,4,129,3,0,2,2,27.0,28.0,90.0,1.0,0,40.47152
+784,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,5515,607,80,Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2023-02-21,2022-09-06,24,228.4319526627219,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",2022-09-21,1,['XavierXiao@universityofchicago'],1,10,['universityofchicago'],['University of Chicago'],,0.6,45,2,6,5,0,0,0,45.0,55.0,90.0,1.2,0,13.2426
+161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5483,428,44,Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2023-02-21,2017-03-24,308,17.760758907913004,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",2023-02-18,137,"['KyleGoyette', 'adrianbg', 'adrnswanberg', 'dmitryduev', 'kptkin', 'lukas@weightsandbiases', 'raubitsj', 'shawnlewis', 'tssweeney', 'vanpelt@crowdflower.com']",2,10,"['crowdflower.com', 'weightsandbiases']","['Weights and Biases', 'crowdflower.com']",,12.52,830,442,72,0,28,21,28,832.0,1626.0,90.0,2.0,0,53.35655
+511,ml,https://github.com/google/automl,,,,google/automl,automl,5477,1409,157,Jupyter Notebook,,automl: Google Brain AutoML,google,2023-02-21,2020-03-12,153,35.59795728876509,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",2023-02-15,40,"['Ely-S', 'LucasSloan@google', 'NikZak', 'Samjith888@detecttechnologies', 'fsx950223@amd', 'jcburnel', 'kartik4949', 'mingxingtan@google', 'mmaithani', 'wuhy08']",3,10,"['amd', 'detecttechnologies', 'google']","['@google', 'AMD', 'Detect Technologies', 'Google']",,0.42,10,6,36,0,0,1,1,10.0,5.0,90.0,0.5,0,32.47305
+896,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,5472,253,71,Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2023-02-21,2022-11-16,14,390.85714285714283,[],2023-02-15,15,"['JustinMeans@outtakes•voosey', 'Wanaldino', 'atiorh', 'cclauss@christianclauss', 'godly-devotion', 'kasima', 'littleowl', 'liuliu', 'nathantannar4', 'pcuenca']",2,10,"['christianclauss', 'outtakes•voosey']","['Christian Clauss', 'Outtakes • Voosey']",,0.5,132,47,3,0,2,8,2,132.0,399.0,90.0,3.0,0,31.03472
+579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5446,1303,178,Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2023-02-21,2016-08-17,340,16.01764705882353,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",2023-01-20,67,"['Drishttii', 'Duane321@lyft', 'Neoanarika@collaborative,learning,andadaptiverobots(clear)', 'ashishpapanai', 'gerdm@queenmaryuniversityoflondon', 'karalleyna', 'karm-patel@indianinstituteofscience(iisc)', 'mjsML@nvidia', 'murphyk@google', 'patel-zeel@iitgandhinagar']",7,10,"['collaborative,learning,andadaptiverobots(clear)', 'google', 'iitgandhinagar', 'indianinstituteofscience(iisc)', 'lyft', 'nvidia', 'queenmaryuniversityoflondon']","['@NVIDIA ', 'Collaborative, Learning, and Adaptive Robots (CLEAR)', 'Google', 'IIT Gandhinagar', 'Indian Institute of Science (IISc)', 'Lyft', 'Queen Mary University of London']",,9.54,8,6,79,1,1,0,1,8.0,13.0,90.0,1.6,0,43.07153
+880,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5405,597,42,Python,https://unit8co.github.io/darts/,darts: A python library for user-friendly forecasting and anomaly detection on time series.,unit8co,2023-02-20,2018-09-13,231,23.31176833025262,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning', 'anomaly-detection', 'data-science']",2023-02-21,79,"['LeoTafti', 'TheMP@unit8co', 'dennisbader', 'endrjuskr@unit8sa', 'gdevos010@episci', 'hrzn@unit8co', 'inverniz', 'madtoinou', 'pennfranc', 'tomasvanpottelbergh']",3,10,"['episci', 'unit8co', 'unit8sa']","['@unit8co ', 'EpiSci', 'Unit8 SA']",,4.25,340,210,54,0,7,8,7,340.0,572.0,90.0,1.7,0,47.21094
+932,nlp,https://github.com/lucidrains/palm-rlhf-pytorch,,,,lucidrains/palm-rlhf-pytorch,PaLM-rlhf-pytorch,5372,405,109,Python,,PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM,lucidrains,2023-02-21,2022-12-09,10,501.38666666666666,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'reinforcement-learning', 'transformers', 'human-feedback']",2023-02-15,4,"['ell-hol@orange', 'eltociear@bandism', 'hypnopump', 'lucidrains']",2,10,"['bandism', 'orange']","['@bandism ', 'Orange']",,1.83,29,20,2,0,59,359,59,29.0,94.0,90.0,3.2,0,30.726
+971,ml,https://github.com/keras-rl/keras-rl,,,,keras-rl/keras-rl,keras-rl,5372,1360,211,Python,http://keras-rl.readthedocs.io/,keras-rl: Deep Reinforcement Learning for Keras.,keras-rl,2023-02-18,2016-07-02,346,15.500412201154163,"['keras', 'tensorflow', 'theano', 'reinforcement-learning', 'neural-networks', 'machine-learning']",2019-11-11,41,"['RaphaelMeudec', 'RyanHope', 'aliostad', 'bstriner', 'jorahn@42digital', 'kashif', 'matthiasplappert', 'raj-rohan', 'raopku', 'rmst']",1,10,['42digital'],['@42DIGITAL '],,0.0,2,2,81,40,0,1,1,2.0,1.0,90.0,0.5,0,19.90157
+632,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5364,1133,120,Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2023-02-21,2013-08-07,498,10.771084337349398,"['python', 'cryptography']",2023-02-21,281,"['Ayrx', 'alex', 'dependabot[bot]', 'dreid', 'dstufft@datadog', 'lvh@latacora', 'muattiyah', 'public@purple-dot', 'pyca-boringbot[bot]', 'reaperhulk']",3,10,"['datadog', 'latacora', 'purple-dot']","['@DataDog', '@Latacora', '@purple-dot ']",,19.96,638,611,116,0,0,11,11,638.0,490.0,90.0,0.8,0,55.07288
+96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5352,597,139,Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2023-02-18,2017-08-15,288,18.574119980168568,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",2020-05-03,7,"['delirious-lettuce', 'remiadon', 'rompom', 'slotlocker2', 'vi3k6i5@meta']",1,10,['meta'],['Meta'],,0.0,3,0,67,34,0,0,0,3.0,1.0,90.0,0.3,0,12.8452
+214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,5345,1013,115,Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2023-02-21,2020-04-28,147,36.3252427184466,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",2023-02-20,196,"['30stomercury@ilcc,universityofedinburgh', 'Gastron', 'JianyuanZhong', 'TParcollet@samsung', 'flexthink', 'mravanelli@universityofmontreal', 'nauman-daw@mit', 'popcornell@marchepolytechnicuniversity', 'pplantinga@jpmorganchase', 'ycemsubakan']",6,10,"['ilcc,universityofedinburgh', 'jpmorganchase', 'marchepolytechnicuniversity', 'mit', 'samsung', 'universityofmontreal']","['@jpmorganchase', 'ILCC, University of Edinburgh', 'MIT', 'Marche Polytechnic University', 'Samsung', 'University of Montreal']",,18.54,151,82,34,0,2,3,2,151.0,377.0,90.0,2.5,0,51.72347
+471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,5343,507,57,Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2023-02-21,2021-05-18,92,57.986046511627904,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",2023-02-05,35,"['ParthJadhav@xd2sketch', 'TanmayBansode', 'greenmagenta', 'jrobchin@microsoftazure', 'jvendegna', 'mehmet-mert', 'neilbaldwin', 'piccoloser', 'ralphg6@bancodobrasil', 'saur0x']",3,10,"['bancodobrasil', 'microsoftazure', 'xd2sketch']","['@XD2Sketch ', '@bancodobrasil', 'Microsoft Azure']",,0.94,19,7,21,1,2,5,2,19.0,10.0,90.0,0.5,0,30.89819
+3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5343,698,93,Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2023-02-20,2019-07-29,186,28.68174846625767,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series', 'forecasting']",2023-02-21,100,"['FANGAreNotGnu@amazonwebservices', 'Innixma@amazonai', 'canerturkmen@awsawslabs', 'gradientsky@amazonai', 'jwmueller@cleanlab', 'shchur', 'sxjscience@amazonwebservices', 'yinweisu@amazon', 'zhanghang1989', 'zhiqiangdon@awsai']",6,10,"['amazon', 'amazonai', 'amazonwebservices', 'awsai', 'awsawslabs', 'cleanlab']","['@aws @awslabs', 'AWS AI', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'Cleanlab']",,15.88,685,541,43,0,12,7,12,683.0,1322.0,90.0,1.9,0,54.3459
+283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5336,319,64,Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2023-02-20,2016-06-27,347,15.364870423693953,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",2022-12-23,87,"['NickFabry', 'Secrus', 'altendky', 'bryanforbes@sitepen', 'erosennin', 'guyzmo', 'maedox', 'pre-commit-ci[bot]', 'redlickigrzegorz@stxnext', 'sdispater']",2,10,"['sitepen', 'stxnext']","['@stxnext', 'SitePen, Inc.']",,0.73,22,4,81,2,1,8,1,22.0,11.0,90.0,0.5,0,33.04196
+909,web,https://github.com/pynecone-io/pynecone,,,,pynecone-io/pynecone,pynecone,5300,183,54,Python,https://pynecone.io,pynecone: 🕸 Web apps in pure Python 🐍,pynecone-io,2023-02-21,2022-10-25,17,309.1666666666667,"['fullstack', 'python', 'webdev', 'framework', 'web', 'python-library', 'python3', 'open-source', 'infrastructure']",2023-02-21,30,"['Alek99@pynecone', 'ElijahAhianyo', 'FHU-yezi', 'HellAmbro@rutershok', 'Lendemor', 'PeterYusuke', 'advo-kat', 'picklelo@pynecone', 'qu3vipon@asleep-ai', 'r0b2g1t@deutschetelekomag']",4,10,"['asleep-ai', 'deutschetelekomag', 'pynecone', 'rutershok']","['@Rutershok', '@asleep-ai', 'Deutsche Telekom AG', 'Pynecone', 'Pynecone ']",,4.02,488,381,4,0,11,33,11,488.0,771.0,90.0,1.6,0,40.95055
+223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,5296,757,92,Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2023-02-21,2021-03-13,101,52.14064697609001,[],2023-01-12,23,"['AeroScripts', 'CurtisASmith', 'StellaAthena@boozallenhamilton', 'ablacklama@cardsagainsthumanity', 'cclauss@christianclauss', 'djoldman', 'kingoflolz', 'leogao2', 'narphorium', 'nostalgebraist']",3,10,"['boozallenhamilton', 'cardsagainsthumanity', 'christianclauss']","['@cardsagainsthumanity', 'Booz Allen Hamilton', 'Christian Clauss']",,0.02,19,4,24,1,0,0,0,19.0,27.0,90.0,1.4,0,28.70588
+603,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,5286,447,67,Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2023-02-21,2018-05-11,249,21.168192219679632,"['weak-supervision', 'robust-machine-learning', 'data-cleaning', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'label-errors', 'noisy-labels', 'data-centric-ai', 'machine-learning', 'out-of-distribution-detection', 'outlier-detection', 'data-validation', 'active-learning', 'crowdsourcing', 'image-tagging', 'data-labeling', 'entity-recognition', 'annotations']",2023-02-19,29,"['JohnsonKuan', 'aditya1503@home', 'anishathalye@mitcsail', 'calebchiam@stanforduniversity', 'cgnorthcutt@cleanlab|mit', 'elisno', 'huiwengoh', 'jwmueller@cleanlab', 'ulya-tkch@cleanlab', 'weijinglok']",5,10,"['cleanlab', 'cleanlab|mit', 'home', 'mitcsail', 'stanforduniversity']","['@Cleanlab | MIT', '@cleanlab ', 'Cleanlab', 'Home', 'MIT CSAIL', 'Stanford University']",,9.02,136,94,58,0,4,1,4,136.0,184.0,90.0,1.4,0,45.24406
+278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5281,706,176,Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2023-02-20,2016-08-17,340,15.532352941176471,"['data', 'data-science', 'knowledge', 'data-analysis']",2023-02-20,72,"['JJJ000', 'NiharikaRay', 'bulam', 'csharplus@airbnb', 'danfrankj', 'dorianbrown@dorianbrownanalytics', 'earthmancash2@eppo', 'matthewwardrop@datascientistatnetflix', 'mengting1010', 'naoyak@airbnb']",4,10,"['airbnb', 'datascientistatnetflix', 'dorianbrownanalytics', 'eppo']","['@airbnb', 'Airbnb', 'Data Scientist at @Netflix', 'Dorian Brown Analytics', 'Eppo']",,10.25,75,67,79,0,2,5,2,75.0,16.0,90.0,0.2,0,43.25949
+434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5246,2102,185,Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2023-02-20,2011-07-07,606,8.644538606403014,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",2023-02-20,591,"['JDWarner', 'ahojnnes@microsoft', 'blink1073@mongodb', 'emmanuelle', 'grlee77@nvidia', 'hmaarrfk@californiainstituteoftechnology', 'jni@biomedicinediscoveryinstitute,monashuniversity', 'soupault@mipt-oulu,oulu-imeds', 'stefanv@universityofcalifornia,berkeley', 'vighneshbirodkar@google']",8,10,"['biomedicinediscoveryinstitute,monashuniversity', 'californiainstituteoftechnology', 'google', 'microsoft', 'mipt-oulu,oulu-imeds', 'mongodb', 'nvidia', 'universityofcalifornia,berkeley']","['@MIPT-Oulu, @Oulu-IMEDS ', 'Biomedicine Discovery Institute, Monash University', 'California Institute of Technology', 'Google', 'Microsoft', 'MongoDB', 'NVIDIA', 'University of California, Berkeley']",,5.75,431,171,142,0,6,9,6,431.0,558.0,90.0,1.3,0,58.18437
+552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,5231,1934,52,Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2023-02-21,2020-06-14,140,37.25025432349949,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",2023-02-21,135,"['Junjun2016', 'MengzhangLI@shanghaiailaboratory', 'MeowZheng@openmmlab', 'RockeyCoss', 'linfangjian01@alibaba', 'sennnnn@xxx', 'sshuair', 'xiexinch@openmmlab', 'xvjiarui@ucsd', 'yamengxi']",5,10,"['alibaba', 'openmmlab', 'shanghaiailaboratory', 'ucsd', 'xxx']","['Alibaba', 'OpenMMLab', 'Shanghai AI Laboratory', 'UCSD', 'xxx']",,3.65,433,266,33,0,18,14,18,433.0,639.0,90.0,1.5,0,50.82597
+352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5225,418,65,Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2023-02-19,2019-08-09,184,28.28692962103635,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",2023-02-20,107,"['AbhinavTuli@activeloop', 'FayazRahman', 'benchislett', 'davidbuniat@activeloopai', 'edogrigqv2', 'farizrahman4u', 'imshashank@self', 'kristinagrig06', 'nollied', 'thisiseshan@northeasternuniversity']",4,10,"['activeloop', 'activeloopai', 'northeasternuniversity', 'self']","['@activeloopai', 'Activeloop', 'Northeastern University', 'Self']",,24.62,196,164,43,0,59,34,59,196.0,191.0,90.0,1.0,0,51.6355
+81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5218,1863,142,Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2023-02-21,2015-01-02,424,12.285906491759166,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",2023-02-18,770,"['AA-Turner', 'TimKam@signaviosphinx-docsphinx-contrib', 'birkenfeld@fzjülich', 'jakobandersen', 'jfbu', 'keewis', 'lehmannro', 'shimizukawa@beproud', 'stephenfin@redhat', 'tk0miya@timeintermedia(timedia)']",5,10,"['beproud', 'fzjülich', 'redhat', 'signaviosphinx-docsphinx-contrib', 'timeintermedia(timedia)']","['@signavio @sphinx-doc @sphinx-contrib ', 'BeProud', 'FZ Jülich', 'Red Hat', 'Time Intermedia (@timedia)']",,13.46,381,147,99,0,20,31,20,381.0,439.0,90.0,1.2,0,59.33798
+686,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,pypdf,5218,1165,143,Python,https://pypdf.readthedocs.io/en/latest/,"pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2023-02-21,2012-01-06,580,8.985485854858549,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",2023-02-15,168,"['MartinThoma', 'MasterOdin@popsql', 'jamma313', 'knowah', 'mozbugbox', 'mstamy2', 'mtd91429', 'pubpub-zz', 'switham', 'sylvainpelissier']",1,10,['popsql'],['@popsql'],,13.58,239,183,135,0,54,6,54,239.0,759.0,90.0,3.2,0,53.25838
+404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5167,294,88,Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2023-02-20,2017-01-16,318,16.233842010771994,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",2023-02-20,140,"['A5rocks', 'Fuyukai', 'agronholm@nextdaysolutionsoy', 'buhman@verizonmedia', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'njsmith', 'oremanj@hudsonrivertrading', 'pquentin@elastic']",4,10,"['elastic', 'hudsonrivertrading', 'nextdaysolutionsoy', 'verizonmedia']","['@elastic', '@verizonmedia', 'Hudson River Trading', 'NextDay Solutions Oy']",,5.96,119,95,74,0,0,4,4,119.0,270.0,90.0,2.3,0,49.8598
+301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5166,983,194,Python,,kaggle-api: Official Kaggle API,kaggle,2023-02-21,2018-01-25,264,19.50485436893204,[],2021-03-15,36,"['Conengmo', 'chrisgorgo@google', 'danieljanes@adapgmbh', 'dpmcna', 'filipefilardi', 'philippegr', 'pizzaz93', 'rysteboe', 'vsoch', 'washcycle@aspen-insights']",3,10,"['adapgmbh', 'aspen-insights', 'google']","['@aspen-insights ', 'Adap GmbH', 'Google LLC']",,0.0,21,5,62,24,0,0,0,21.0,18.0,90.0,0.9,0,25.13979
+546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5146,909,117,Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2023-02-20,2018-06-27,243,21.17695473251029,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",2023-02-02,109,"['Ryan-Qiyu-Jiang@uwstudent', 'YuJiang01@facebook', 'apsdehal@researchhuggingface,contributorjquery,pastfacebookresearch', 'dependabot[bot]', 'jknoxville@facebook', 'meetps', 'ronghanghu@metaai', 'suzyahyah', 'vedanuj', 'ytsheng']",4,10,"['facebook', 'metaai', 'researchhuggingface,contributorjquery,pastfacebookresearch', 'uwstudent']","['@Facebook', 'Facebook', 'Meta AI', 'Research @huggingface, Contributor @jquery, Past @facebookresearch ', 'UW student']",,0.87,98,84,57,1,0,1,1,98.0,90.0,90.0,0.9,0,40.41016
+652,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,5127,220,55,Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2023-02-21,2014-03-13,466,10.981946144430845,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",2022-12-27,47,"['asmeurer@quansight', 'cclauss@christianclauss', 'codelol', 'dependabot[bot]', 'goxberry@datadog,formerlyllnl', 'iddan@flycode-org', 'jnsquire', 'joerick@nordprojects', 'telamonian@jpmorgan', 'tonybaloney@microsoft']",7,10,"['christianclauss', 'datadog,formerlyllnl', 'flycode-org', 'jpmorgan', 'microsoft', 'nordprojects', 'quansight']","['@DataDog, formerly @LLNL ', '@Quansight ', '@flycode-org', 'Christian Clauss', 'JP Morgan', 'Microsoft', 'Nord Projects']",,1.92,11,5,109,2,0,6,6,11.0,10.0,90.0,0.9,0,40.7073
+279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5120,386,91,Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2023-02-21,2017-07-06,293,17.42343218279047,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",2022-10-18,108,"['MSeal@noteable-io', 'VincentBLortie', 'betatim@nvidia', 'ewmassey', 'gogasca@google', 'janfreyberg@google', 'mpacer@netflix', 'rgbkrk@noteable-io', 'vizhur@microsoft', 'willingc@willingconsulting']",6,10,"['google', 'microsoft', 'netflix', 'noteable-io', 'nvidia', 'willingconsulting']","['@Noteable-io', '@google ', '@noteable-io', 'Google', 'Microsoft', 'Netflix', 'Nvidia ', 'Willing Consulting']",,0.58,15,1,69,4,0,14,14,15.0,23.0,90.0,1.5,0,40.87479
+605,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,5115,398,78,CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2023-02-20,2020-02-19,157,32.5796178343949,[],2022-12-27,11,"['anishLearnsToCode@wedosarl', 'cclauss@christianclauss', 'connorferster@rjc-development', 'daradib@applemontechnologies', 'eriknw', 'gxyd', 'icaroscherma', 'michaellisitsa@clearcalcs', 'omouraenko', 'shawnbrown']",5,10,"['applemontechnologies', 'christianclauss', 'clearcalcs', 'rjc-development', 'wedosarl']","['@rjc-development ', 'Applemon Technologies', 'Christian Clauss', 'ClearCalcs', 'WEDO Sarl']",,1.08,18,6,37,2,3,3,3,18.0,11.0,90.0,0.6,0,30.97697
+15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,5041,336,82,Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2023-02-20,2017-07-18,292,17.255256723716382,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",2023-02-13,54,"['BenjaminBossan', 'adelevie@casetext', 'asberk', 'benjamin-work@ottogroupbi', 'dnouri', 'ottonemo@ottogroupbi', 'stsievert', 'taketwo@aeolusrobotics', 'thomasjpfan@quansight-labs', 'timokau']",4,10,"['aeolusrobotics', 'casetext', 'ottogroupbi', 'quansight-labs']","['@Quansight-Labs ', '@casetext ', 'Aeolus Robotics, Inc.', 'Otto Group BI']",,1.08,21,12,68,0,2,3,2,21.0,69.0,90.0,3.3,0,42.65678
+953,security,https://github.com/stamparm/maltrail,,,,stamparm/maltrail,maltrail,4978,932,216,Python,,maltrail: Malicious traffic detection system,stamparm,2023-02-20,2014-12-04,428,11.60759493670886,"['security', 'malware', 'intrusion-detection', 'sensor', 'python', 'network-monitoring', 'attack-detection']",2023-02-21,40,"['D9ping', 'MikhailKasimov', 'PeterDaveHello@dnscryptnodejsmaintainerscampus-expertstransmission-remote-gui', 'arons@logobjectag', 'dyussekeyev@nazarbayevuniversity', 'jtkristoff', 'laciKE', 'stamparm', 't3chn0m4g3@deutschetelekomsecuritygmbh', 'wesinator']",4,10,"['deutschetelekomsecuritygmbh', 'dnscryptnodejsmaintainerscampus-expertstransmission-remote-gui', 'logobjectag', 'nazarbayevuniversity']","['@DNSCrypt @nodejs @maintainers  @campus-experts  @transmission-remote-gui', 'Deutsche Telekom Security GmbH', 'LogObject AG', 'Nazarbayev University']",,249.54,15,10,100,0,12,5,12,15.0,42.0,90.0,2.8,0,52.69608
+181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,4968,505,66,Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2023-02-21,2018-04-26,251,19.72546795235394,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",2023-02-11,161,"['brantlk@ibm', 'chair6', 'cjschaef@ibm', 'ehooo', 'ericwb@securesauce', 'lukehinds@redhat,inc', 'pwnetrationguru@ubertechnologies', 'sigmavirus24@tableau&salesforce', 'stannum-l@pwc', 'viraptor']",6,10,"['ibm', 'pwc', 'redhat,inc', 'securesauce', 'tableau&salesforce', 'ubertechnologies']","['@IBM ', '@tableau & @salesforce', 'IBM', 'PwC', 'Red Hat, Inc', 'Secure Sauce', 'UBER Technologies']",,1.37,31,12,59,0,2,8,2,31.0,24.0,90.0,0.8,0,43.73491
+380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4946,520,125,Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2023-02-21,2020-08-31,129,38.25635359116022,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",2022-07-17,8,"['Narasimha1997@cognitifai', 'PickNickChock', 'alirezamika', 'cthulhu-irl', 'gsakkis', 'jasonleonhard@http://stackoverflow.com/users/1783588/jasonleonhard', 'maxbachmann']",2,10,"['cognitifai', 'http://stackoverflow.com/users/1783588/jasonleonhard']","['cognitifai', 'http://stackoverflow.com/users/1783588/jasonleonhard']",,0.04,6,5,30,7,1,6,1,6.0,9.0,90.0,1.5,0,22.55609
+687,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4888,331,58,Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2023-02-21,2015-04-22,409,11.951100244498777,[],2023-01-14,53,"['AlexPHorta@buey', 'KaySackey@9cloud', 'Ohcanep', 'alan-barzilay', 'bndr', 'hdformat', 'jonafato', 'littmus', 'mapattacker', 'raxod502@plaid']",3,10,"['9cloud', 'buey', 'plaid']","['9Cloud LLC', '@plaid', 'Buey']",,0.04,34,8,95,1,0,3,3,34.0,22.0,90.0,0.6,0,35.82595
+169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4866,750,138,Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2023-02-21,2017-08-07,289,16.820740740740742,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",2020-07-14,19,"['EdwardBetts', 'IrekRybark@sivantos', 'akx@valohai', 'bafonso', 'danielgrijalva', 'dkavraal', 'fahadh4ilyas', 'minimaxir@buzzfeed', 'netr', 'torokati44']",3,10,"['buzzfeed', 'sivantos', 'valohai']","['@buzzfeed ', '@valohai ', 'Sivantos, Inc.']",,0.0,3,0,67,32,0,2,2,3.0,3.0,90.0,1.0,0,22.71027
+569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4858,857,123,Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2023-02-19,2016-03-01,364,13.340918007061592,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",2023-01-24,23,"['CarkusL', 'Evizero', 'YananJian', 'eddiesmo@connectedpapers', 'juneoh', 'kmader', 'lradacher', 'mdbloice@medicaluniversitygraz', 'puhoshville', 's-ai-kia@lsbg,hamburg']",3,10,"['connectedpapers', 'lsbg,hamburg', 'medicaluniversitygraz']","['@ConnectedPapers ', 'LSBG, Hamburg', 'Medical University Graz']",,0.19,5,2,85,1,0,3,3,5.0,2.0,90.0,0.4,0,31.00201
+513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4851,617,122,Python,,apscheduler: Task scheduling library for Python,agronholm,2023-02-21,2016-03-27,360,13.4589774078478,[],2023-02-07,38,"['AntonKorobkov', 'adamkalis', 'agronholm@nextdaysolutionsoy', 'bjmc', 'c-oreills', 'eendebakpt', 'jvillar@wetaca', 'linuxdynasty', 'nikolas@columbiauniversity', 'pre-commit-ci[bot]']",3,10,"['columbiauniversity', 'nextdaysolutionsoy', 'wetaca']","['Columbia University', 'NextDay Solutions Oy', 'Wetaca']",,2.63,25,15,84,0,0,8,8,25.0,33.0,90.0,1.3,0,41.63671
+661,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4848,5211,174,Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2023-02-20,2018-09-04,233,20.794117647058822,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",2022-12-24,98,"['HanzTantiangco@universityofsheffield', 'NadimKawwa', 'SudKul@udacity', 'abhiojha8@udacity', 'cezannec', 'festusdrakon', 'jchernus@lumafield', 'mcleonard@bardeen', 'ronny-udacity', 'rrrrrr8@flow']",5,10,"['bardeen', 'flow', 'lumafield', 'udacity', 'universityofsheffield']","['@lumafield ', 'Bardeen', 'Udacity', 'University of Sheffield', 'flow']",,0.1,2,1,54,2,0,0,0,2.0,0.0,90.0,0.0,0,30.02014
+642,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4775,694,120,Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2023-02-19,2009-10-02,698,6.833980781026375,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",2022-12-13,131,"['IanLee1521@llnl', 'asottile', 'cdce8p', 'florentx', 'gward', 'jcrocholl', 'jdufresne@pioneervalleybooks', 'pre-commit-ci[bot]', 'reinout@nens', 'sigmavirus24@tableau&salesforce']",4,10,"['llnl', 'nens', 'pioneervalleybooks', 'tableau&salesforce']","['@LLNL', '@nens ', '@tableau & @salesforce', 'Pioneer Valley Books']",,0.73,16,13,163,2,0,3,3,16.0,18.0,90.0,1.1,0,40.78992
+265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4761,511,91,Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2023-02-20,2014-10-12,436,10.90900163666121,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",2023-01-06,75,"['Synss@tribe29gmbh', 'TheMysteriousX', 'aleneum@caretechowl,fhbielefeld', 'ankostis@jrc-stu', 'artofhuman', 'ollamh', 'svdgraaf@teamookla/downdetector', 'thedrow', 'tyarkoni@twitter', 'wtgee']",5,10,"['caretechowl,fhbielefeld', 'jrc-stu', 'teamookla/downdetector', 'tribe29gmbh', 'twitter']","['@JRC-STU ', '@teamookla / Downdetector', '@tribe29 GmbH', 'CareTech OWL, FH Bielefeld', 'Twitter']",,0.62,8,3,102,2,2,5,2,8.0,11.0,90.0,1.4,0,38.40109
+551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4699,1394,84,Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2023-02-21,2018-08-22,235,19.995744680851065,[],2023-02-17,249,"['MeowZheng@openmmlab', 'ZwwWayne@mmlab,ntu', 'dreamerlin@shanghaiailab', 'grimoire', 'hellock@open-mmlab', 'jshilong@shanghaiailab', 'teamwong111', 'xvjiarui@ucsd', 'yhcao6@cuhk,mmlab', 'zhouzaida']",6,10,"['cuhk,mmlab', 'mmlab,ntu', 'open-mmlab', 'openmmlab', 'shanghaiailab', 'ucsd']","['@open-mmlab ', 'CUHK, MMLab', 'MMLab, NTU', 'OpenMMLab', 'Shanghai AI Lab', 'UCSD']",,5.54,208,145,55,0,16,23,16,208.0,260.0,90.0,1.2,0,53.40651
+213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4668,274,62,Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2023-02-21,2021-06-09,89,52.449438202247194,[],2022-12-05,26,"['Adib234', 'AghilesAzzoug@créditagricolesa', 'Cloud9c', 'amyreese@omnilib', 'cclauss@christianclauss', 'iAdityaEmpire', 'jbitton@facebookresearch', 'mayaliliya', 'membriux@intuit', 'zpapakipos']",5,10,"['christianclauss', 'créditagricolesa', 'facebookresearch', 'intuit', 'omnilib']","['@facebookresearch', '@intuit', '@omnilib ', 'Christian Clauss', 'Crédit Agricole SA']",,0.9,2,0,21,3,1,4,1,2.0,0.0,90.0,0.0,0,25.16645
+830,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4643,333,57,Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2023-02-21,2015-01-27,421,11.024762550881954,"['python', 'boilerplate', 'classes', 'oop', 'attributes']",2023-02-12,139,"['Tinche@pocketzworld', 'altendky', 'cournape@mercarijp', 'euresti', 'hynek@variomediaag', 'pre-commit-ci[bot]', 'radix', 'sscherfke', 'wbolster', 'webknjaz@ansiblecoreredhatofficial']",4,10,"['ansiblecoreredhatofficial', 'mercarijp', 'pocketzworld', 'variomediaag']","['@Ansible Core @ @RedHatOfficial', '@pocketzworld ', 'Mercari JP', 'Variomedia AG']",,4.25,68,48,98,0,2,3,2,68.0,207.0,90.0,3.0,0,49.09899
+97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4572,457,78,Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2023-02-21,2018-08-21,235,19.443499392466585,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",2023-02-20,64,"['SylvainCorlay@quantstack', 'davidbrochart@quantstack', 'dependabot[bot]', 'github-actions[bot]', 'jtpio@quantstack', 'maartenbreddels@maartenbreddels', 'martinRenou@quantstack', 'mkcor', 'timkpaine@point72', 'trungleduc@quantstack']",3,10,"['maartenbreddels', 'point72', 'quantstack']","['@Point72', '@QuantStack', '@maartenbreddels', 'QuantStack']",,1.9,39,21,55,0,14,29,14,39.0,105.0,90.0,2.7,0,45.08834
+247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4556,328,59,Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2023-02-20,2015-01-21,422,10.796208530805687,[],2020-07-10,39,"['WhyNotHugo', 'blueyed@freelancer,upforhire', 'carlnordenfelt@bynordenfelt', 'galenhuntington', 'graingert', 'jorgebastida@infiniteforksl', 'juhani-hietikko@reaktor', 'rwolfson', 'sj26@buildkite', 'vlcinsky']",5,10,"['buildkite', 'bynordenfelt', 'freelancer,upforhire', 'infiniteforksl', 'reaktor']","['@Buildkite', 'Freelancer, up for hire', 'Infinite Fork SL', 'Reaktor', 'by nordenfelt']",,0.0,9,1,98,32,0,1,1,9.0,8.0,90.0,0.9,0,27.70605
+312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4539,196,60,Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2023-02-21,2018-12-18,218,20.807465618860512,[],2023-01-21,53,"['Tipuch', 'dae', 'durin42', 'dvc94ch', 'indygreg', 'jayvdb@franklin-ai', 'ralpha', 'ryancinsight@insightec', 'stuhood@toolchainlabs', 'wkschwartz@isaadvisers']",4,10,"['franklin-ai', 'insightec', 'isaadvisers', 'toolchainlabs']","['@franklin-ai', '@isaadvisers ', 'Insightec ', 'Toolchain Labs']",,26.0,51,14,51,1,12,88,12,51.0,59.0,90.0,1.2,0,45.04344
+66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4515,973,75,Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2023-02-20,2015-12-09,376,12.007978723404255,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",2023-02-21,514,"['DanielNoord@channable', 'DudeNr33@siemensmobilitygmbh', 'PCManticore', 'Pierre-Sassoulas', 'cdce8p', 'dependabot[bot]', 'godfryd@graphcore', 'hippo91', 'jacobtylerwalls@element84', 'mbyrnepr2']",4,10,"['channable', 'element84', 'graphcore', 'siemensmobilitygmbh']","['@channable', 'Element 84', 'Graphcore', 'Siemens Mobility GmbH']",,37.73,718,469,88,0,34,24,34,718.0,2198.0,90.0,3.1,0,63.04546
+570,util,https://github.com/jd/tenacity,1.0,,,jd/tenacity,tenacity,4487,222,44,Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2023-02-21,2016-08-11,340,13.16387259010897,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",2023-02-09,77,"['asqui', 'bersace@dalibo', 'harlowja@waymo', 'immerrr', 'jd@mergifyio', 'mergify[bot]', 'mezgerj', 'penguinolog', 'rholder', 'sileht@mergifyio']",3,10,"['dalibo', 'mergifyio', 'waymo']","['@Dalibo', '@Mergifyio', 'Waymo']",,0.38,37,25,80,0,0,9,9,37.0,54.0,90.0,1.5,0,42.92561
+196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4435,344,86,Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2023-02-20,2020-01-08,163,27.208588957055216,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",2022-05-21,20,"['19thyneb', 'caitlynachen', 'cgarciae@quansight', 'dorisjlee@ponder-org', 'jaywoo123', 'jinimukh@year', 'jrdzha', 'micahtyong@ucberkeley', 'thyneb19', 'westernguy2']",4,10,"['ponder-org', 'quansight', 'ucberkeley', 'year']","['@ponder-org', 'Quansight', 'UC Berkeley', 'Year']",,0.13,6,0,38,9,0,4,4,6.0,7.0,90.0,1.2,0,27.41563
+206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4385,330,75,Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2023-02-19,2021-01-17,109,40.07180156657964,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",2022-03-13,14,"['Fliens', 'Incog5', 'NotNANtoN@adalab', 'RaymondTerry', 'akx@valohai', 'dginev@kwarc', 'donno2048', 'lorcalhost@bitpolito', 'lucidrains', 'russelldc@midjourney']",5,10,"['adalab', 'bitpolito', 'kwarc', 'midjourney', 'valohai']","['@BITPoliTO', '@KWARC ', '@midjourney', '@valohai ', 'Adalab']",,0.02,0,0,26,12,1,31,1,0.0,0.0,90.0,0.0,0,19.33567
+764,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4374,891,90,Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2023-02-21,2018-04-19,252,17.298305084745763,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",2023-02-02,19,"['Cugtyt@msft', 'JeremyIV', 'LiangbinXie@um&siat', 'Lotayou@videocodinglaboratory,pekinguniversity', 'My-Zhu@sigs,tsinghuauniversity', 'henrymai', 'ljzycmd', 'wwhio', 'xinntao@tencent', 'zestloveheart@whut']",6,10,"['msft', 'sigs,tsinghuauniversity', 'tencent', 'um&siat', 'videocodinglaboratory,pekinguniversity', 'whut']","['MSFT', 'SIGS, Tsinghua University', 'Tencent', 'UM & SIAT', 'Video Coding Laboratory, Peking University', 'WHUT']",,1.02,23,4,59,1,3,7,3,23.0,12.0,90.0,0.5,0,34.86486
+927,util,https://github.com/openai/point-e,,,,openai/point-e,point-e,4359,432,159,Python,,point-e: Point cloud diffusion for 3D model synthesis,openai,2023-02-21,2022-12-06,11,391.1923076923077,[],2022-12-20,2,"['heewooj', 'unixpickle']",0,10,[],[],,0.06,73,24,3,2,0,0,0,73.0,144.0,90.0,2.0,0,13.69709
+21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4350,906,165,Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2023-02-19,2017-07-07,293,14.810311284046692,[],2021-05-18,12,"['ajfisch@mitnlp', 'dfenglei@hewlett-packardenterprise', 'hpasapp@asappinc', 'jaseweston', 'lbaligand', 'ousou@iprally', 'pemazare', 'rashoodkhan@yellowmessenger', 'stephenroller', 'sundeep']",5,10,"['asappinc', 'hewlett-packardenterprise', 'iprally', 'mitnlp', 'yellowmessenger']","['@ASAPPinc ', '@iprally ', '@mitnlp ', 'Hewlett-Packard Enterprise ', 'Yellow Messenger']",,0.0,2,0,68,21,0,0,0,2.0,2.0,90.0,1.0,0,22.38055
+101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4271,804,118,Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2023-02-21,2014-08-14,444,9.600834938985228,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",2023-01-31,92,"['JJLWHarrison', 'Maitreyee1', 'NimaSarajpoor', 'jaksmid@blindspotsolutions', 'jrbourbeau@coiled', 'kota7', 'labdmitriy', 'rasbt@lightning-ai,universityofwisconsin-madison', 'reiinakano@openai', 'zdgriffith@ssec']",5,10,"['blindspotsolutions', 'coiled', 'lightning-ai,universityofwisconsin-madison', 'openai', 'ssec']","['@Lightning-AI , University of Wisconsin-Madison', '@coiled ', '@openai', '@ssec', 'Blindspot Solutions']",,4.52,17,14,104,1,2,3,2,17.0,36.0,90.0,2.1,0,44.56575
+717,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4226,571,142,Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2023-02-19,2011-03-28,621,6.80202345366751,[],2023-02-17,120,"['claudep@2xlibre.netsàrl', 'durden@http://www.lukelee.me', 'hugovk@nordsoftware', 'iurisilvio@buser', 'jdufresne@pioneervalleybooks', 'kennethreitz', 'lbeltrame', 'rogersmark@guildeducation', 'timofurrer@gitlabhq', 'xdanielsb']",7,10,"['2xlibre.netsàrl', 'buser', 'gitlabhq', 'guildeducation', 'http://www.lukelee.me', 'nordsoftware', 'pioneervalleybooks']","['2xlibre.net Sàrl', '@gitlabhq', 'Buser', 'Guild Education', 'Nord Software', 'Pioneer Valley Books', 'http://www.lukelee.me']",,0.33,17,14,145,0,2,4,2,17.0,44.0,90.0,2.6,0,46.96355
+370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4221,449,72,Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2023-02-21,2021-02-25,103,40.6423658872077,[],2023-02-14,126,"['MariusGuerard', 'ahmetburhanfb', 'facebook-github-bot@facebook', 'iamxiaodong@facebook', 'michaelbrundage@meta', 'ourownstory@stanforduniversity', 'peiyizhang@meta', 'rohanfb', 'uthakore@facebook', 'yangbk560@facebooklnc.']",4,10,"['facebook', 'facebooklnc.', 'meta', 'stanforduniversity']","['@facebook', 'Facebook', 'Facebook lnc.', 'Meta', 'Stanford University']",,3.54,37,21,24,0,1,1,1,37.0,28.0,90.0,0.8,0,40.12931
+542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,4220,244,44,C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2023-02-21,2019-03-05,207,20.372413793103448,[],2023-02-20,109,"['AntoinePrv@quantstack', 'Hind-M', 'JohanMabille@quantstack', 'Klaim', 'adriendelsalle@quantstack', 'davidbrochart@quantstack', 'isuruf@universityofillinois', 'jonashaag@quantco', 'marimeireles@anaconda', 'wolfv@prefix.devgmbh']",5,10,"['anaconda', 'prefix.devgmbh', 'quantco', 'quantstack', 'universityofillinois']","['@QuantStack', '@Quantco', '@anaconda', 'QuantStack', 'University of Illinois', 'prefix.dev GmbH']",,9.85,276,158,48,0,15,52,15,277.0,756.0,90.0,2.7,0,53.2679
+734,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4206,579,59,Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2023-02-21,2017-11-23,273,15.358372456964005,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",2023-02-18,187,"['Ishan-Kumar2@sdsdatasciencegroupdsgiitr', 'KickItLikeShika@cision', 'Moh-Yakoub', 'alykhantejani@sharechat', 'anmolsjoshi', 'puhuk', 'sadra-barikbin@pytorch-ignite', 'sdesrozis@pytorch-ignitemichelin', 'trsvchn@bimsbbioinfopytorch-ignite', 'vfdev-5@quansight']",7,10,"['bimsbbioinfopytorch-ignite', 'cision', 'pytorch-ignite', 'pytorch-ignitemichelin', 'quansight', 'sdsdatasciencegroupdsgiitr', 'sharechat']","['@BIMSBbioinfo @pytorch-ignite', '@Quansight', '@ShareChat', '@cision', '@pytorch-ignite', '@pytorch-ignite @michelin', 'SDS Data Science Group @dsgiitr ']",,3.58,115,96,64,0,3,4,3,115.0,181.0,90.0,1.6,0,50.47067
+293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4167,249,82,Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2023-02-20,2013-09-13,492,8.457233980864018,[],2022-11-03,74,"['bartvm@google', 'cpcloud@voltrondata', 'eriknw', 'groutr@lynkertechnologies', 'hugovk@nordsoftware', 'llllllllll@formerlyquantopian', 'medecau', 'mrocklin@coiled', 'obmarg@redbadger', 'tacaswell@brookhavennationallab']",8,10,"['brookhavennationallab', 'coiled', 'formerlyquantopian', 'google', 'lynkertechnologies', 'nordsoftware', 'redbadger', 'voltrondata']","['@coiled ', '@google', '@voltrondata', 'Brookhaven National Lab', 'Lynker Technologies', 'Nord Software', 'Red Badger', 'formerly @quantopian']",,0.25,18,7,115,4,1,3,1,18.0,32.0,90.0,1.8,0,39.87594
+27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4120,263,56,Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2023-02-21,2015-03-18,414,9.951690821256038,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",2023-02-17,87,"['Solumin', 'alvarocaceres', 'bsolomon1124', 'dbaum', 'martindemello@google', 'matthiaskramm', 'pludemann@google', 'rchen152', 'rpalaguachi', 'sivachandra@googledart-langflutter']",2,10,"['google', 'googledart-langflutter']","['@google @dart-lang @flutter ', 'Google']",,11.63,63,53,97,0,0,21,21,63.0,53.0,90.0,0.8,0,46.96301
+362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,4115,556,85,Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2023-02-21,2019-06-10,193,21.289726533628972,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",2023-02-19,71,"['H4dr1en', 'Rizwan-Hasan@techlearnersincallegroai', 'allegroai-git@allegroai', 'danmalowany-allegro@allegro.ai', 'erezalg', 'eugen-ajechiloae-clearml', 'jalexand3r', 'jkhenning', 'pollfly', 'thepycoder']",3,10,"['allegro.ai', 'allegroai', 'techlearnersincallegroai']","['@TechLearnersInc @allegroai', 'AllegroAI', 'allegro.ai']",,1.44,135,51,45,0,22,36,22,135.0,306.0,90.0,2.3,0,46.3109
+754,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,4113,440,90,Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2023-02-21,2020-04-13,149,27.551196172248805,[],2020-04-18,2,"['bpesquet@enscognitique', 'karpathy']",1,10,['enscognitique'],['ENS Cognitique'],,0.0,8,3,35,35,0,0,0,8.0,8.0,90.0,1.0,0,11.85175
+227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,4087,458,83,Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2023-02-20,2019-01-24,212,19.200671140939598,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",2023-02-20,94,"['AdilZouitine@irtsaint-exupéry', 'Darkmyter', 'MaxHalford@carbonfact', 'garawalid@sfr', 'gbolmier@volvo-cars', 'guimatsumoto', 'jacobmontiel@universityofwaikato', 'krifiMedAmine', 'raphaelsty@manomano', 'smastelini@phdcandidateatuniversityofsãopaulo']",7,10,"['carbonfact', 'irtsaint-exupéry', 'manomano', 'phdcandidateatuniversityofsãopaulo', 'sfr', 'universityofwaikato', 'volvo-cars']","['@carbonfact', '@volvo-cars', 'IRT Saint-Exupéry', 'ManoMano', 'PhD candidate at University of São Paulo', 'SFR', 'University of Waikato']",,5.58,68,58,50,0,6,7,6,68.0,182.0,90.0,2.7,0,50.40081
+549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,4069,728,86,Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2023-02-21,2019-08-23,182,22.269741985926505,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",2023-02-21,66,"['EndlessSora@nanyangtechnologicaluniversity', 'Yshuo-Li', 'ckkelvinchan@googleresearch', 'hejm37@universityofalberta', 'hellock@open-mmlab', 'innerlee@cuhk', 'nbei', 'wangruohui', 'wwhio', 'zengyh1900@openmmlab']",6,10,"['cuhk', 'googleresearch', 'nanyangtechnologicaluniversity', 'open-mmlab', 'openmmlab', 'universityofalberta']","['@open-mmlab ', 'CUHK', 'Google Research', 'Nanyang Technological University', 'OpenMMLab', 'University of Alberta']",,2.83,238,197,43,0,12,6,12,238.0,252.0,90.0,1.1,0,47.89301
+343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,4068,259,60,Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2023-02-21,2020-05-19,144,28.222001982160556,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",2023-02-10,77,"['OtherBarry@spiralblue', 'SmileyChris', 'areski@star2billing//dialerai', 'baseplate-admin', 'fojetin', 'hiaselhans', 'jairhenrique@grupoboticario', 'stephenrauch', 'vitalik', 'wimolivier']",3,10,"['grupoboticario', 'spiralblue', 'star2billing//dialerai']","['@grupoboticario ', '@spiralblue ', 'Star2Billing // DialerAI']",,2.94,112,65,34,0,4,9,4,112.0,241.0,90.0,2.2,0,43.86003
+565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,4053,744,121,Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2023-02-21,2016-07-24,343,11.801580698835275,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",2023-01-27,74,"['AtelierLibre', 'HTenkanen@aaltouniversity', 'RunOrVeith', 'd-wasserman@alta', 'eumiro', 'gboeing@universityofsoutherncalifornia', 'migurski', 'mxndrwgrdnr', 'pmartincalvo', 'samuelduchesne@mitsustainabledesignlabelementa-engineering']",4,10,"['aaltouniversity', 'alta', 'mitsustainabledesignlabelementa-engineering', 'universityofsoutherncalifornia']","['@MITSustainableDesignLab @Elementa-Engineering', 'Aalto University', 'Alta', 'University of Southern California']",,3.27,51,43,80,1,0,8,8,51.0,96.0,90.0,1.9,0,45.15682
+258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,4039,1309,117,Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2023-02-21,2016-04-14,357,11.286626746506986,[],2023-02-16,219,"['carver@ethereumfoundation', 'djrtwo@ctrl^t', 'dylanjw', 'fselmo@ethereum', 'kclowes', 'njgheorghita@ethereum', 'pipermerriam@ethereumfoundation', 'tmckenzie51', 'voith@cryptexfinance', 'wolovim']",4,10,"['cryptexfinance', 'ctrl^t', 'ethereum', 'ethereumfoundation']","['@cryptexfinance', '@ethereum', '@ethereum ', 'Ctrl^T', 'Ethereum Foundation']",,5.94,153,113,83,0,0,28,28,153.0,151.0,90.0,1.0,0,52.53779
+184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,4033,475,77,Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2023-02-21,2020-01-10,162,24.78577699736611,['jax'],2023-02-19,187,"['8bitmp3@tensorflow,jax,flax', 'IvyZX@google', 'andsteing@google', 'avital@google', 'cgarciae@quansight', 'jheek', 'levskaya', 'marcvanzee@google', 'mohitreddy1996@fennel-ai', 'wrzadkow@istaustria']",5,10,"['fennel-ai', 'google', 'istaustria', 'quansight', 'tensorflow,jax,flax']","['@fennel-ai', '@google', 'Google', 'IST Austria', 'Quansight', 'tensorflow, jax, flax']",,10.0,287,201,38,0,13,8,13,287.0,458.0,90.0,1.6,0,52.66872
+376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,3992,166,50,C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2023-02-20,2021-07-06,85,46.88590604026846,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",2023-02-15,25,"['AK391@huggingface', 'andrerics', 'astagi@italiateamdigitale', 'brettcannon@microsoft', 'christinesutcliffe', 'drubinstein@spotify', 'emilio1234', 'paulm12@myr', 'psobot@spotify', 'rm-star@b3ta']",6,10,"['b3ta', 'huggingface', 'italiateamdigitale', 'microsoft', 'myr', 'spotify']","['@b3ta', '@italia @teamdigitale', '@microsoft ', '@spotify', 'Huggingface', 'MYR']",,4.69,44,33,20,0,25,24,25,44.0,41.0,90.0,0.9,0,42.58001
+355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,3979,744,74,Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2023-02-21,2018-12-10,219,18.14527687296417,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",2023-02-17,189,"['achals@tectonai', 'adchia@tecton', 'davidheryanto', 'felixwang9817', 'jklegar', 'kevjumba', 'pyalex@tecton-ai', 'terryyylim@gojek', 'woop@tecton', 'zhilingc@gojekindonesia']",5,10,"['gojek', 'gojekindonesia', 'tecton', 'tecton-ai', 'tectonai']","['@gojekindonesia ', '@tecton-ai', 'Gojek', 'Tecton', 'Tecton AI']",,13.67,260,174,51,0,30,30,30,260.0,408.0,90.0,1.6,0,54.89907
+13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3913,543,101,Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2023-02-20,2016-05-18,353,11.08498583569405,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",2023-01-13,111,"['Kautumn06', 'bbengfort@rotationalio', 'jkeung', 'lwgray', 'mgarod', 'naresh-bachwani', 'ndanielsen', 'pdamodaran', 'ralle123', 'rebeccabilbro@rotationallabs']",2,10,"['rotationalio', 'rotationallabs']","['@rotationalio ', 'Rotational Labs, LLC']",,0.48,11,6,82,1,1,4,1,11.0,14.0,90.0,1.3,0,36.06359
+43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3902,309,64,Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2023-02-20,2016-09-09,336,11.58845990666101,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",2023-01-27,113,"['dependabot-preview[bot]', 'dependabot[bot]', 'eumiro', 'hoefling@ionos-cloud', 'lk-geimfari@roskomsvoboda', 'ngnpope@infogrid', 'sinecode@extendi', 'sobolevn', 'valerievich', 'wikkiewikkie@42software']",5,10,"['42software', 'extendi', 'infogrid', 'ionos-cloud', 'roskomsvoboda']","['42 Software LLC', '@ionos-cloud ', '@roskomsvoboda', 'Extendi', 'Infogrid']",,2.75,25,14,79,0,8,8,8,25.0,25.0,90.0,1.0,0,45.85826
+199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3876,329,68,TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2023-02-21,2019-07-15,188,20.585735963581183,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",2023-02-07,29,"['AnthraX1', 'appznoix', 'ariffrahimin@asiadigitalengineering', 'aschonfeld', 'cdeil@heidelbergcement', 'colin-jensen', 'dependabot[bot]', 'jasonkholden', 'matrach', 'phillipdupuis']",2,10,"['asiadigitalengineering', 'heidelbergcement']","['Asia Digital Engineering', 'HeidelbergCement']",,1.87,36,28,44,0,17,40,17,36.0,76.0,90.0,2.1,0,40.69836
+309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3819,694,61,Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2023-02-21,2018-09-05,233,16.390557939914164,"['solidity', 'ethereum', 'static-analysis']",2023-02-14,101,"['0xalpharush@trailofbits', 'Xenomega@trailofbits', 'elopez@trailofbits', 'ggrieco-tob@trailofbits', 'htadashi', 'montyly', 'rajeevgopalakrishna', 'rmi7', 'samczsun', 'smonicas']",1,10,['trailofbits'],"['@trailofbits', '@trailofbits ']",,8.94,298,172,54,0,4,7,4,298.0,316.0,90.0,1.1,0,43.43518
+790,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3817,332,83,Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2023-02-21,2022-10-06,19,192.22302158273382,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",2023-02-18,8,"['abesmon@ctcmedia', 'ashawkey@pekinguniversity', 'elliottzheng', 'flobotics@floboticsrobotics', 'jogloran', 'johnrobinsn', 'nside']",3,10,"['ctcmedia', 'floboticsrobotics', 'pekinguniversity']","['CTC Media', 'Flobotics Robotics', 'Peking University']",,1.46,79,36,5,0,0,0,0,79.0,186.0,90.0,2.4,0,29.51257
+388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3810,429,39,Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2023-02-21,2019-03-21,204,18.598326359832637,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",2022-07-07,33,"['DrMatters', 'JohnGiorgi@universityoftoronto', 'Logigo', 'amitness', 'avostryakov', 'baskrahmer', 'bdalal@cresta', 'chiragjn@truefoundry', 'makcedward@toyotaconnected', 'ricardopieper@clevertech']",5,10,"['clevertech', 'cresta', 'toyotaconnected', 'truefoundry', 'universityoftoronto']","['@cresta ', '@truefoundry ', 'Clevertech', 'Toyota Connected', 'University of Toronto']",,0.29,16,1,48,8,1,7,1,16.0,5.0,90.0,0.3,0,27.90894
+91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3800,608,78,Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2023-02-20,2019-07-09,189,20.090634441087612,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",2023-02-03,49,"['huigangchen', 'jeongyoonlee@uber', 'manojbalaji1@datascientist', 'paullo0106@uber', 'peterfoley', 'ppstacy', 't-tte@toyotaresearchinstitute', 'yluogit', 'yungmsh@spotify', 'zhenyuz0500@tencent']",5,10,"['datascientist', 'spotify', 'tencent', 'toyotaresearchinstitute', 'uber']","['Data Scientist', 'Spotify', 'Tencent', 'Toyota Research Institute', 'Uber']",,0.85,24,8,44,1,2,3,2,24.0,38.0,90.0,1.6,0,38.03905
+280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3798,487,45,Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2023-02-21,2020-09-22,126,30.108720271800678,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",2023-02-15,19,"['FelSiq@icmc,universityofsãopaulo', 'MaartenGr@iknl', 'anubhabdaserrr@textifyai(t3xtifyai)', 'domenicrosati@scitedotai', 'dwhdai@ada', 'leloykun@expedock', 'nreimers@huggingface', 'proselotis@mustanganalytics', 'rafaelvalero', 'xwwwwww@tsinghuauniversity']",9,10,"['ada', 'expedock', 'huggingface', 'icmc,universityofsãopaulo', 'iknl', 'mustanganalytics', 'scitedotai', 'textifyai(t3xtifyai)', 'tsinghuauniversity']","['@scitedotai ', 'Ada', 'Expedock', 'Huggingface', 'ICMC, University of São Paulo', 'IKNL', 'Mustang Analytics', 'Textify AI (@T3xtifyai)', 'Tsinghua University']",,0.56,239,149,29,0,5,11,5,239.0,606.0,90.0,2.5,0,44.43289
+822,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3790,728,88,Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2023-02-21,2019-10-11,175,21.56910569105691,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",2023-02-20,138,"['Can-Zhao@nvidia', 'KumoLiu@nvidia', 'Nic-Ma@nvidia', 'drbeh@nvidia', ""ericspod@king'scollegelondon"", 'hjmjohnson@theuniversityofiowa', 'myron@nvidia', ""rijobro@king'scollegelondon"", 'wyli@nvidia', 'yiheng-wang-nv']",3,10,"[""king'scollegelondon"", 'nvidia', 'theuniversityofiowa']","['@NVIDIA', ""King's College London"", 'NVIDIA', 'Nvidia', 'The University of Iowa']",,14.27,477,367,41,0,5,21,5,478.0,911.0,90.0,1.9,0,50.30081
+357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3780,907,246,Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2023-02-18,2019-05-14,197,19.17391304347826,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",2023-02-14,217,"['Golodhros@lyft', 'allisonsuarez', 'dependabot-preview[bot]', 'dorianj', 'feng-tao@databricksamundsen-ioapache', 'jinhyukchang@lyft', 'jornh', 'mgorsk1', 'ttannis@lyft', 'verdan']",2,10,"['databricksamundsen-ioapache', 'lyft']","['@databricks @amundsen-io @apache ', '@lyft', 'Lyft']",,3.31,282,265,46,0,39,32,39,283.0,162.0,90.0,0.6,0,47.82923
+855,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3768,366,76,Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2023-02-21,2011-10-14,592,6.357194504699928,[],2022-12-06,101,"['Afoucaul@cardiologs', 'altendky', 'astrojuanlu@kedro-org', 'bbengfort@rotationalio', 'cclauss@christianclauss', 'd-ryzhikov', 'demiurg906@jetbrains', 'fabianp@google', 'mgbckr@universityofrostock', 'pgervais']",7,10,"['cardiologs', 'christianclauss', 'google', 'jetbrains', 'kedro-org', 'rotationalio', 'universityofrostock']","['@JetBrains', '@google', '@kedro-org', '@rotationalio ', 'Cardiologs', 'Christian Clauss', 'University of Rostock']",,0.63,7,4,138,3,0,4,4,7.0,12.0,90.0,1.7,0,41.8095
+778,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3760,589,84,Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2023-02-21,2020-08-31,129,29.082872928176794,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",2023-02-09,5,"['FrancescoSaverioZuppichini@roboflow', 'NielsRogge@huggingface', 'grahamannett']",2,10,"['huggingface', 'roboflow']","['HuggingFace', 'roboflow']",,2.71,57,11,30,0,0,0,0,58.0,94.0,90.0,1.6,0,29.57123
+354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3751,402,213,Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2023-02-21,2019-08-27,182,20.59372549019608,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",2023-02-03,98,"['99warriors', 'J0Nreynolds', 'NarineK', 'ProGamerGov', 'aobo-y@facebook', 'bilalsal@viennauniversityoftechnology', 'edward-io', 'miguelmartin75@meta', 'orionr@facebook', 'vivekmig']",3,10,"['facebook', 'meta', 'viennauniversityoftechnology']","['@facebook', '@facebook ', 'Meta', 'Vienna University of Technology']",,2.0,57,33,42,1,2,2,2,57.0,155.0,90.0,2.7,0,41.64473
+793,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3731,221,39,Python,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2023-02-21,2020-05-21,143,25.93545183714002,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",2023-01-20,31,"['astrojuanlu@kedro-org', 'dependabot[bot]', 'fruttasecca@orchest', 'iannbing@orchest.io', 'joe-bell@bigattic', 'mausworks@orchest', 'ncspost', 'nhaghighat@orchestmangrovesdb', 'ricklamers@orchest', 'yannickperrenet@orchest']",5,10,"['bigattic', 'kedro-org', 'orchest', 'orchest.io', 'orchestmangrovesdb']","['@Orchest', '@bigattic', '@kedro-org', '@orchest', '@orchest ', '@orchest @mangrovesdb', 'Orchest.io']",,75.04,82,65,34,1,96,72,96,82.0,79.0,90.0,1.0,0,47.53071
+58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3724,754,195,C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2023-02-21,2013-09-30,490,7.5955710955710956,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",2023-02-20,160,"['CFSworks', 'Moguri', 'darrenr555', 'drwrose', 'gyedo', 'jyelon', 'nthparameter', 'rdb', 'shochet@codespark,homer', 'zpavlov']",1,10,"['codespark,homer']","['codeSpark, Homer']",,8.33,157,81,114,0,2,2,2,157.0,217.0,90.0,1.4,0,45.09643
+200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3705,335,69,Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2023-02-21,2020-10-30,120,30.692307692307693,[],2023-02-20,92,"['Chris-hughes10@microsoft', 'muellerzr@huggingface', 'pacman100@huggingface', 'patrickvonplaten', 'philschmid@huggingface', 'ryanrussell', 'sgugger', 'sywangyi@intel', 'thomwolf@huggingface', 'younesbelkada@ensparissaclay']",4,10,"['ensparissaclay', 'huggingface', 'intel', 'microsoft']","['@HuggingFace', '@huggingface', '@huggingface ', 'ENS Paris Saclay', 'Hugging Face', 'Intel', 'Microsoft']",,8.81,269,219,28,0,16,10,16,269.0,718.0,90.0,2.7,0,50.76608
+209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3694,331,52,Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2023-02-21,2020-02-29,155,23.744719926538107,['pywebio'],2023-02-06,17,"['Priler@howdy-ho', 'brumar@evidenceb', 'cclauss@christianclauss', 'dependabot[bot]', 'dmesquita', 'donno2048', 'mawoka-myblock', 'muxueqz', 'pikhosh', 'wang0618']",3,10,"['christianclauss', 'evidenceb', 'howdy-ho']","['@Howdy-Ho ', 'Christian Clauss', 'EvidenceB']",,1.67,33,11,36,0,0,9,9,33.0,40.0,90.0,1.2,0,36.92339
+762,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3659,828,177,Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2023-02-21,2017-12-14,270,13.50896624472574,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",2023-02-19,184,"['95-martin-orion', 'MichaelBroughton', 'Strilanc@google', 'balopat@dukeuniversity', 'dabacon', 'daxfohl', 'dstrain115@google', 'maffoo@google', 'tanujkhattar@google', 'viathor']",2,10,"['dukeuniversity', 'google']","['Duke University', 'Google']",,13.0,92,49,63,0,5,5,5,92.0,102.0,90.0,1.1,0,46.68584
+423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3653,537,99,Python,,RPA-Python: Python package for doing RPA,tebelorg,2023-02-21,2019-03-30,203,17.94456140350877,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",2022-09-07,3,"['fi-do@universityofappliedtrialanderror', 'kensoh', 'pradishb']",1,10,['universityofappliedtrialanderror'],['University of applied trial and error'],,1.1,22,18,47,6,3,13,3,22.0,42.0,90.0,1.9,0,24.40784
+757,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3653,179,46,Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2023-02-21,2017-05-31,299,12.217391304347826,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",2023-02-09,26,"['RobertRosca@europeanxfel', 'blink1073@mongodb', 'cclauss@christianclauss', 'dependabot[bot]', 'ischaojie@douban', 'maresb@m²hycongmbh', 'matthewfeickert@universityofwisconsin-madison', 'musicinmybrain', 'ofek@datadog', 'olgarithms@bloomberg']",8,10,"['bloomberg', 'christianclauss', 'datadog', 'douban', 'europeanxfel', 'mongodb', 'm²hycongmbh', 'universityofwisconsin-madison']","['@datadog', 'Bloomberg', 'Christian Clauss', 'Douban', 'European XFEL', 'MongoDB', 'University of Wisconsin-Madison', 'm²hycon GmbH']",,9.12,144,83,70,0,56,15,56,144.0,338.0,90.0,2.3,0,51.72874
+770,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3651,169,41,TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2023-02-21,2020-05-22,143,25.404572564612327,"['awesome', 'database', 'spreadsheet']",2023-02-21,38,"['CamilleLegeron', 'LouisDelbosc', 'alexmojaki', 'arnaudpeich@didask', 'berhalak', 'cpind', 'dsagal', 'georgegevoian@gristlabs', 'paulfitz@gristlabs', 'yohanboniface@enix']",3,10,"['didask', 'enix', 'gristlabs']","['@Didask', '@gristlabs ', 'Enix', 'Grist Labs']",,12.08,98,45,34,0,10,5,10,98.0,214.0,90.0,2.2,0,45.05504
+442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3607,2008,163,C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2023-02-21,2012-10-09,541,6.665522703273496,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",2023-02-21,511,"['etiennesky@bsc', 'hobu@hobu', 'landam@czechtechnicaluniversityinprague', 'mloskot@cadcorp', 'nyalldawson@northroad', 'rouault@spatialys', 'schwehr@google', 'strezen', 'szekerest', 'warmerdam']",7,10,"['bsc', 'cadcorp', 'czechtechnicaluniversityinprague', 'google', 'hobu', 'northroad', 'spatialys']","['@Cadcorp', 'BSC', 'Czech Technical University in Prague', 'Google', 'Hobu, Inc.', 'North Road', 'Spatialys']",,46.85,566,526,126,0,9,14,9,565.0,707.0,90.0,1.3,0,62.13824
+616,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3581,245,32,Python,,freezegun: Let your Python tests travel through time,spulec,2023-02-21,2012-12-11,532,6.729395973154363,[],2023-02-17,109,"['CrazyPython', 'boxed@dryft-technologies', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'kylegibson', 'micromoses', 'ojii@henngek.k.', 'pganssle@google', 'rinslow@dapulse', 'spulec@yipitdata']",7,10,"['dapulse', 'dryft-technologies', 'google', 'henngek.k.', 'nordsoftware', 'pioneervalleybooks', 'yipitdata']","['@DaPulse ', '@Dryft-Technologies ', '@Google', 'HENNGE K.K.', 'Nord Software', 'Pioneer Valley Books', 'YipitData']",,0.56,26,11,124,0,0,5,5,26.0,18.0,90.0,0.7,0,45.15119
+287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3554,790,106,Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2023-02-21,2013-06-27,503,7.053586617521973,[],2023-02-11,189,"['IamJeffG@conservationmetrics', 'adriangb', 'jdmcbr', 'jorisvandenbossche', 'jtratner', 'jwass', 'kjordahl@planetlabs', 'm-richards', 'martinfleis', 'snowman2@corteva']",3,10,"['conservationmetrics', 'corteva', 'planetlabs']","['@ConservationMetrics ', '@corteva ', 'Planet Labs']",,2.9,219,143,118,0,5,3,5,219.0,344.0,90.0,1.6,0,49.74752
+782,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3538,217,33,Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2023-02-21,2022-06-30,33,104.49789029535864,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",2022-08-17,6,"['Hugo-Dz', 'Nick17t@jinaai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'nan-wang@jinaai', 'thegenerativegeneration']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', 'Jina AI']",,7.21,3,0,8,6,110,181,110,3.0,2.0,90.0,0.7,0,24.05867
+866,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,3487,270,45,Python,https://www.mage.ai/,"mage-ai: 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.",mage-ai,2023-02-21,2022-05-16,40,86.55673758865248,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",2023-02-21,22,"['ci-mage', 'csharplus@airbnb', 'dy46', 'jlondonobo@humanlivingdata', 'johnson-mage', 'nathaniel-mage', 'shrey-mage', 'skunichetty', 'tommydangerous@mage', 'wangxiaoyou1993']",3,10,"['airbnb', 'humanlivingdata', 'mage']","['Airbnb', 'Human Living Data', 'Mage']",,47.5,585,546,9,0,4,5,4,585.0,160.0,90.0,0.3,0,40.4631
+368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3471,345,59,Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2023-02-20,2020-06-10,141,24.617021276595743,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",2022-08-06,8,"['Jim-Salmons@factminers', 'RosenZhang', 'an1018', 'dumbPy', 'edisongustavo@amazon', 'k-for-code', 'lolipopshock@clinicalmlallenai', 'yusanshi@ustc']",4,10,"['amazon', 'clinicalmlallenai', 'factminers', 'ustc']","['@clinicalml @allenai ', 'Amazon', 'FactMiners', 'USTC']",,0.21,15,2,33,7,2,4,2,15.0,16.0,90.0,1.1,0,25.62282
+140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3455,293,61,Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2023-02-21,2020-08-09,132,26.089536138079826,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",2023-02-21,10,"['0206pdh', '0xflotus', 'adin786@bigtincan', 'csheargm', 'csnelsonchu@superinsight.ai', 'davidmezzetti@neuml', 'hi019', 'hsm207@rasahq', 'lipusz@liferay']",5,10,"['bigtincan', 'liferay', 'neuml', 'rasahq', 'superinsight.ai']","['@RasaHQ ', '@neuml ', 'Bigtincan', 'Liferay Inc.', 'Superinsight.ai']",,6.19,60,49,31,0,11,11,11,60.0,112.0,90.0,1.9,0,41.76986
+462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3441,116,75,Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2023-02-21,2012-08-24,547,6.282472613458529,[],2022-10-25,18,"['airhorns', 'alin-luminoso', 'jacopofar@flix-tech', 'jaredly@khanacademy', 'jwilk', 'lumitim@luminoso', 'moss@luminoso', 'rmax@paige.ai', 'rspeer@elementalcognition', 'slibs63']",5,10,"['elementalcognition', 'flix-tech', 'khanacademy', 'luminoso', 'paige.ai']","['@flix-tech ', 'Elemental Cognition', 'Khan Academy', 'Luminoso', 'Paige.AI']",,0.04,4,1,128,4,0,13,13,4.0,2.0,90.0,0.5,0,32.82908
+833,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3405,914,128,C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2023-02-21,2016-08-20,339,10.027345393352967,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",2023-02-21,891,"['MicroDev1@microdevsystems', 'danicampora@embeddedconsultingbv', 'dhalbert', 'dpgeorge', 'glennrub', 'hierophect@adafruit', 'jepler@unpythonicnetworks', 'pfalcon', 'tannewt@chickadee-tech', 'weblate@weblateorg']",6,10,"['adafruit', 'chickadee-tech', 'embeddedconsultingbv', 'microdevsystems', 'unpythonicnetworks', 'weblateorg']","['@WeblateOrg ', '@chickadee-tech ', 'Adafruit', 'Embedded Consulting BV', 'MicroDev Systems', 'Unpythonic Networks ']",,34.56,529,347,79,0,29,38,29,530.0,1225.0,90.0,2.3,0,64.46755
+321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3373,441,58,Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2023-02-21,2014-11-20,430,7.828580901856764,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",2023-02-20,102,"['AlexCovizzi', 'AstraLuma', 'Fizzadar@beeper', 'ODtian', 'dependabot[bot]', 'javad94', 'r0x0r', 'sardination', 'sbbosco', 'shivaprsd']",1,10,['beeper'],['@Beeper '],,2.6,87,68,100,0,8,6,8,87.0,213.0,90.0,2.4,0,44.83771
+895,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3358,675,71,Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2023-02-20,2019-05-15,197,17.04568527918782,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",2023-02-20,101,"['AaronSpieler', 'arangatang', 'benidis@amazonai', 'dcmaddix@amazonwebservices', 'jaheba@awslabs', 'jgasthaus@meta', 'kashif', 'lostella@awsawsawslabs', 'rshyamsundar@amazon', 'vafl@amazon']",6,10,"['amazon', 'amazonai', 'amazonwebservices', 'awsawsawslabs', 'awslabs', 'meta']","['@awslabs', 'AWS @aws @awslabs', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'Meta']",,7.06,247,189,46,0,40,22,40,247.0,271.0,90.0,1.1,0,51.78439
+897,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3355,193,68,Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2023-02-20,2017-04-24,304,11.025821596244132,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",2023-02-01,99,"['TyberiusPrime', 'arnfred', 'dan-blanchard@coiled', 'funnell@mskcc', 'gdowding', 'glamp', 'has2k1', 'hernamesbarbara', 'jankatins@kreuzwerker', 'matthias-k']",3,10,"['coiled', 'kreuzwerker', 'mskcc']","['@coiled ', '@kreuzwerker', 'MSKCC']",,2.98,26,8,71,1,3,2,3,26.0,34.0,90.0,1.3,0,40.46847
+421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3347,506,150,Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2023-02-21,2017-07-27,290,11.5073673870334,[],2023-02-17,151,"['YitaoLiang', 'alexnikulkov', 'badrinarayan@facebook', 'czxttkl', 'econti@banditml', 'gji1@facebookai', 'igfox', 'kaiwenw@cornell', 'kittipatv', 'sfujim@mcgilluniversity']",5,10,"['banditml', 'cornell', 'facebook', 'facebookai', 'mcgilluniversity']","['@banditml ', 'Cornell', 'Facebook', 'Facebook AI', 'McGill University']",,2.0,17,12,68,0,0,0,0,17.0,38.0,90.0,2.2,0,43.6301
+4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3334,579,60,Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2023-02-21,2019-02-26,208,16.017844886753604,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",2023-02-21,124,"['LeonLuttenberger@amazonwebservices', 'bryanyang0528@taiwansparkusergroup', 'cnfait@aws', 'dependabot[bot]', 'igorborgest@vtex', 'jaidisido@aws', 'kukushking', 'luigift', 'malachi-constant@amazonwebservices', 'maxispeicher@twaice']",5,10,"['amazonwebservices', 'aws', 'taiwansparkusergroup', 'twaice', 'vtex']","['@TWAICE ', '@TaiwanSparkUserGroup ', '@aws', '@vtex', 'AWS', 'Amazon Web Services']",,5.38,366,330,49,0,14,25,14,366.0,1265.0,90.0,3.5,0,54.18247
+99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3282,638,83,Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2023-02-21,2016-04-08,358,9.149342891278375,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",2023-02-21,43,"['abhiTronix@autodidact•researcher•open-sourcerer', 'asenyaev', 'asmorkalov@xperience.ai', 'c-martinez@nlesc', 'cclauss@christianclauss', 'johnthagen', 'native-api', 'sergregory', 'skvark@softlandia-ltd', 'vallentin']",5,10,"['autodidact•researcher•open-sourcerer', 'christianclauss', 'nlesc', 'softlandia-ltd', 'xperience.ai']","['@NLeSC ', '@Softlandia-Ltd', 'Autodidact • Researcher • Open-sourcerer', 'Christian Clauss', 'Xperience.AI']",,0.98,71,46,84,0,6,10,6,71.0,177.0,90.0,2.5,0,45.70774
+663,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3271,615,102,Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2023-02-20,2010-07-21,657,4.97869101978691,"['cython', 'python', 'zeromq']",2023-02-20,188,"['asteven', 'bluca@microsoft', 'claws', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'guidog', 'iblislin@chinamedicaluniversityhospital', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'sakurai-youhei']",5,10,"['amazonwebservices', 'chinamedicaluniversityhospital', 'microsoft', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@microsoft', 'Amazon Web Services', 'China Medical University Hospital', 'Simula Research Laboratory', 'University of California, Berkeley.']",,3.6,36,27,153,0,0,6,6,36.0,49.0,90.0,1.4,0,49.61757
+361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3255,320,78,,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2023-02-20,2016-12-26,321,10.131169408626056,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",2023-02-20,98,"['DXist', 'dependabot[bot]', 'gzcf', 'javidgon', 'lgeiger@plumerailarq', 'mmourafiq', 'polyaxon-ci', 'polyaxon-team', 'vfdev-5@quansight', 'wbuchwalter@microsoftresearch']",3,10,"['microsoftresearch', 'plumerailarq', 'quansight']","['@Quansight', '@plumerai @larq ', 'Microsoft Research']",,4.9,11,1,75,0,0,24,24,11.0,3.0,90.0,0.3,0,42.19509
+93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3254,671,114,C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2023-02-20,2011-10-09,593,5.483389504092441,[],2023-01-10,352,"['Darvame', 'Shir0kamii@numberly', 'aldur', 'awelzel', 'funkybob@codealchemy', 'prymitive', 'rdeioris@blitter', 'robygior@20tabsrl', 'unbit@unbit', 'xrmx@menodizero.it']",6,10,"['20tabsrl', 'blitter', 'codealchemy', 'menodizero.it', 'numberly', 'unbit']","['20tab Srl', 'Blitter', 'Code Alchemy', 'Unbit', 'menodizero.it', 'numberly']",,0.46,30,10,138,1,0,11,11,30.0,37.0,90.0,1.2,0,48.27038
+804,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3237,522,62,Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2023-02-21,2015-07-15,397,8.153652392947103,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",2023-02-16,61,"['Molkree', 'VincentM@untienots', 'aaqibb13@graphicweave', 'andreyrusanov', 'dependabot[bot]', 'etseidler', 'greyli', 'kurlov@redhat', 'miguelgrinberg', 'tsangwpx']",3,10,"['graphicweave', 'redhat', 'untienots']","['@Untienots', '@graphicweave', 'Red Hat']",,1.15,26,21,93,0,0,11,11,26.0,35.0,90.0,1.3,0,43.03178
+208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3237,761,146,Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2023-02-19,2021-05-08,93,34.59389312977099,[],2021-06-10,19,"['CyberPunkMetalHead', 'Davidobot@mazette!', 'FreshLondon@freshlondon', 'ShogunMan', 'Tarantinooo', 'amitman3', 'bcsingh50', 'datapush3r@splunk', 'getsec', 'singer-yang@kaust']",4,10,"['freshlondon', 'kaust', 'mazette!', 'splunk']","['@splunk', 'FreshLondon', 'KAUST', 'mazette!']",,0.0,3,0,22,21,0,0,0,3.0,0.0,90.0,0.0,0,17.23854
+557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3236,607,60,Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2023-02-20,2018-06-14,244,13.215869311551925,"['jupyter', 'sphinx-doc', 'documentation-generator']",2023-02-19,120,"['AakashGfude', 'SamLau95@data-8ds-100', 'choldgraf@ucberkeley', 'chrisjsewell@imperialcollegelondon', 'dependabot[bot]', 'emdupre@stanforduniversity', 'joergbrech', 'martinagvilas@ernststrüngmannandmax-planck-institute', 'mmcky', 'najuzilu@georgetownuniversity']",6,10,"['data-8ds-100', 'ernststrüngmannandmax-planck-institute', 'georgetownuniversity', 'imperialcollegelondon', 'stanforduniversity', 'ucberkeley']","['@data-8 @DS-100', 'Ernst Strüngmann and Max-Planck-Institute', 'Georgetown University', 'Imperial College London', 'Stanford University', 'UC Berkeley']",,1.38,86,34,57,0,5,8,5,86.0,157.0,90.0,1.8,0,47.33945
+319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3229,395,120,Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2023-02-21,2014-03-20,465,6.931309414290095,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",2023-02-01,56,"['Bethany-1', 'Eothred@europeanspallationsourceeric', 'Ksengine@moonharelabs', 'PURPORC', 'awesomebytes', 'cyberpro4', 'dddomodossola@imtssrl', 'mcondarelli', 'nzjrs', 'smurfix@norisnetworkag']",4,10,"['europeanspallationsourceeric', 'imtssrl', 'moonharelabs', 'norisnetworkag']","['@ImtsSrl ', '@moonharelabs', 'European Spallation Source ERIC', 'noris network AG']",,0.6,6,1,109,1,0,3,3,6.0,12.0,90.0,2.0,0,38.65468
+518,util,https://github.com/spack/spack,,,,spack/spack,spack,3207,1833,104,Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2023-02-20,2014-01-08,476,6.737394957983193,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",2023-02-21,1354,"['adamjstewart@universityofillinoisaturbana-champaign', 'alalazo@np-complete', 'becker33@llnl', 'darmac@(huawei)hisilicontechnologiesco.,limited.', 'davydden', 'glennpj', 'haampie', 'iarspider', 'michaelkuhn', 'tgamblin@llnl']",4,10,"['(huawei)hisilicontechnologiesco.,limited.', 'llnl', 'np-complete', 'universityofillinoisaturbana-champaign']","['(Huawei) HiSilicon Technologies CO.,LIMITED.', '@LLNL', '@LLNL ', 'University of Illinois at Urbana-Champaign', 'np-complete']",,85.79,2026,1443,111,0,6,5,6,2026.0,4724.0,90.0,2.3,0,65.81639
+966,ml-dl,https://github.com/facebookresearch/pytorch-biggraph,,,,facebookresearch/pytorch-biggraph,PyTorch-BigGraph,3188,437,93,Python,https://torchbiggraph.readthedocs.io/,PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.,facebookresearch,2023-02-20,2018-10-01,229,13.90404984423676,[],2022-12-08,29,"['StanislavGlebik', 'adamlerer', 'amyreese@omnilib', 'chandlerzuo@https://github.com/facebook', 'dmitryvinn@engineeringmanagerai/mlmeta', 'ezyang', 'indonoso', 'lw@facebook', 'rkindi@meta', 'simonepri@universityofcambridge,sapienzauniversityofrome']",6,10,"['engineeringmanagerai/mlmeta', 'facebook', 'https://github.com/facebook', 'meta', 'omnilib', 'universityofcambridge,sapienzauniversityofrome']","['@facebook', '@https://github.com/facebook', '@omnilib ', 'Engineering Manager AI/ML@Meta', 'Meta', 'University of Cambridge, Sapienza University of Rome']",,0.13,4,0,53,2,0,1,1,4.0,2.0,90.0,0.5,0,30.3107
+182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3186,462,41,Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2023-02-21,2016-09-17,335,9.494252873563218,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest', 'actions', 'pep-621']",2023-02-21,40,"['eumiro', 'gaborbernat@bloomberglp', 'gnikonorov', 'hexagonrecursion', 'jugmac00@canonical', 'kurtmckee', 'masenf@delltechnologies', 'q0w', 'ssbarnea@redhatansible', 'stephenfin@redhat']",5,10,"['bloomberglp', 'canonical', 'delltechnologies', 'redhat', 'redhatansible']","['@canonical', 'Bloomberg LP', 'Dell Technologies', 'Red Hat', 'Red Hat @ansible']",,4.48,421,376,78,0,54,29,54,421.0,971.0,90.0,2.3,0,51.88548
+443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3175,513,85,Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2023-02-20,2011-12-31,581,5.459346597887497,[],2023-02-13,144,"['aronbierbaum', 'brendan-ward@astutespruce', 'caspervdw@nelen&schuurmans', 'jorisvandenbossche', 'jwass', 'mwtoews@gnsscience', 'olt@omniscale', 'sgillies@planetlabs', 'snorfalorpagus', 'tomplex@faradayio']",6,10,"['astutespruce', 'faradayio', 'gnsscience', 'nelen&schuurmans', 'omniscale', 'planetlabs']","['@faradayio', '@planetlabs', 'Astute Spruce, LLC', 'GNS Science', 'Nelen & Schuurmans', 'Omniscale']",,3.44,193,122,136,0,13,9,13,193.0,635.0,90.0,3.3,0,55.45947
+348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,3172,341,35,Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2023-02-21,2020-11-25,117,27.11111111111111,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",2023-02-20,35,"['0lgaF', 'AntonisCSt', 'Liraim', 'SangamSwadiK', 'Tapot@intento,evidentlyai', 'burkovae', 'elenasamuylova@evidentlyai', 'emeli-dral', 'inderpreetsingh01', 'strickvl@zenml']",3,10,"['evidentlyai', 'intento,evidentlyai', 'zenml']","['Evidently AI', 'Intento, Evidently AI', 'ZenML']",,14.87,78,64,27,0,22,20,22,78.0,77.0,90.0,1.0,0,44.02081
+250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3166,730,90,Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2023-02-18,2010-12-28,634,4.992565893219194,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",2023-02-05,207,"['Mottl', 'allanlewis@piclo', 'bubbleboy14', 'ekeydar', 'engn33r@yacademy', 'hugovk@nordsoftware', 'liris', 'louisliu', 'mjhanninen', 'ralphbean@redhat,inc']",4,10,"['nordsoftware', 'piclo', 'redhat,inc', 'yacademy']","['@piclo', 'Nord Software', 'Red Hat, Inc', 'yAcademy']",,0.75,34,28,148,1,9,6,9,34.0,57.0,90.0,1.7,0,46.7638
+384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3162,650,74,Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2023-02-21,2019-04-13,201,15.686746987951807,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",2022-05-22,21,"['biranchi2018', 'carlos-aguayo@appian', 'charliekmorris', 'chrisrytting@byuperception,cognition,andcontrollab', 'duhaime@universityofnotredame', 'erjanmx', 'gte620v', 'k0a1a@cosmicberlin', 'minimaxir@buzzfeed', 'woctezuma']",5,10,"['appian', 'buzzfeed', 'byuperception,cognition,andcontrollab', 'cosmicberlin', 'universityofnotredame']","['@CosmicBerlin ', '@appian', '@buzzfeed ', 'BYU Perception, Cognition, and Control Lab', 'University of Notre Dame']",,0.02,9,1,47,9,0,4,4,9.0,7.0,90.0,0.8,0,28.64718
+35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3158,592,122,Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2023-02-20,2013-01-04,528,5.972980275601189,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",2023-02-19,47,"['danielquinn', 'dieterv77', 'eddiechapman', 'hugovk@nordsoftware', 'jkyeung', 'jmcnamara', 'jonasdiemer', 'jvrsantacruz', 'krysros', 'percious@crunch.io']",2,10,"['crunch.io', 'nordsoftware']","['Crunch.io', 'Nord Software']",,1.1,42,34,123,0,0,15,15,42.0,102.0,90.0,2.4,0,44.30669
+381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,3157,196,37,TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2023-02-21,2019-05-31,194,16.213499633162144,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",2023-02-09,52,"['KaroMourad@aim', 'SGevorg@aimhubio', 'VkoHov@aimhub', 'alberttorosyan', 'arsengit@aimstack', 'devfox-se', 'gorarakelyan@aimstack', 'mihran113@aimhubio', 'roubkar@aimhubio', 'rubenaprikyan@aimhub']",4,10,"['aim', 'aimhub', 'aimhubio', 'aimstack']","['@aimhubio', '@aimhubio ', 'Aim', 'AimHub', 'AimStack', 'Aimhub']",,11.23,240,154,45,0,41,41,41,240.0,330.0,90.0,1.4,0,49.38852
+0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3153,623,94,Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2023-02-21,2012-04-18,566,5.570671378091872,[],2023-01-05,102,"['adamgreenhall', 'andialbrecht', 'darikg', 'dbczumar', 'jdufresne@pioneervalleybooks', 'mrmasterplan@delegate.dk', 'phdru', 'piranna@mafalda-sfu', 'sjoerdjob', 'vmuriart']",3,10,"['delegate.dk', 'mafalda-sfu', 'pioneervalleybooks']","['@Mafalda-SFU', 'Delegate.dk', 'Pioneer Valley Books']",,0.71,35,11,132,2,0,3,3,35.0,58.0,90.0,1.7,0,40.46812
+905,util,https://github.com/pypi/warehouse,,,,pypi/warehouse,warehouse,3146,910,103,Python,https://pypi.org,warehouse: The Python Package Index,pypi,2023-02-20,2013-03-30,516,6.090154867256637,[],2023-02-19,332,"['brainwane@changesetconsulting', 'dependabot[bot]', 'di@google', 'dstufft@datadog', 'ewdurbin@psf', 'miketheman', 'nlhkabu', 'pyup-bot@pyupio', 'weblate@weblateorg', 'woodruffw@trailofbits']",7,10,"['changesetconsulting', 'datadog', 'google', 'psf', 'pyupio', 'trailofbits', 'weblateorg']","['@DataDog', '@WeblateOrg ', '@google', '@psf', '@pyupio', '@trailofbits ', 'Changeset Consulting']",,8.96,585,451,120,0,0,0,0,584.0,692.0,90.0,1.2,0,53.89572
+610,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3128,756,121,Python,https://seleniumbase.io,SeleniumBase: A Python browser automation framework for creating reliable end-to-end tests.,seleniumbase,2023-02-21,2014-03-04,468,6.681721086359475,"['python', 'selenium', 'webdriver', 'selenium-python', 'e2e-testing', 'seleniumbase', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'chrome', 'webkit', 'chromedriver', 'firefox', 'test', 'python3']",2023-02-18,35,"['TaylorMcGinnis', 'aklajnert@akamaitechnologies', 'alexrudd2@numat', 'dimaspivak@streamsets', 'johnhiggs', 'mdmintz@https://www.iboss.com/', 'piotrkochan', 'rogererens', 'stevemachacz@nausetconsulting', 'surevs']",5,10,"['akamaitechnologies', 'https://www.iboss.com/', 'nausetconsulting', 'numat', 'streamsets']","['@numat ', '@streamsets ', 'Akamai Technologies', 'Nauset Consulting', 'https://www.iboss.com/']",,25.67,156,155,109,0,148,87,148,156.0,233.0,90.0,1.5,0,52.56264
+260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3125,810,75,Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2023-02-21,2010-05-29,664,4.702278589853826,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",2023-01-09,165,"['artynusov', 'davidchambers', 'facelessuser', 'lahwaacz', 'lama7', 'mdirolf', 'mitya57@theinterfacefinancialgroup', 'slig', 'waylan', 'yuri@rangle.io']",2,10,"['rangle.io', 'theinterfacefinancialgroup']","['The Interface Financial Group', 'rangle.io']",,0.62,18,15,155,1,0,4,4,18.0,38.0,90.0,2.1,0,42.01948
+832,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3123,387,199,Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2023-02-20,2012-10-26,538,5.797136038186157,[],2019-08-15,65,"['aterrel@numfocus', 'brittainhard', 'cpcloud@voltrondata', 'kwmsmith', 'llllllllll@formerlyquantopian', 'markflorisson@mlabs', 'mrocklin@coiled', 'mwiebe@awsthinkbox', 'sdiehl', 'teoliphant@quansight,openteams']",7,10,"['awsthinkbox', 'coiled', 'formerlyquantopian', 'mlabs', 'numfocus', 'quansight,openteams', 'voltrondata']","['@coiled ', '@voltrondata', 'AWS Thinkbox', 'MLabs', 'NumFOCUS', 'Quansight, OpenTeams', 'formerly @quantopian']",,0.0,2,1,126,43,0,5,5,2.0,0.0,90.0,0.0,0,28.6932
+715,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,3112,326,267,Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2023-02-21,2019-10-21,174,17.85573770491803,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",2023-02-14,114,"['EngHabu@flyteorg', 'SandraGH5@union.ai', 'SmritiSatyanV', 'cosmicBboy@unionai', 'evalsocket@unionai', 'flyte-bot', 'jeevb@freenome', 'katrogan@unionai', 'kumare3@unionai', 'wild-endeavor']",4,10,"['flyteorg', 'freenome', 'union.ai', 'unionai']","['@flyteorg ', '@unionai', '@unionai ', 'Freenome', 'Union.ai', 'unionai']",,5.0,377,155,41,0,28,25,28,377.0,320.0,90.0,0.8,0,49.18723
+336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,3111,488,113,Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2023-02-21,2017-06-30,294,10.55598642753272,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",2023-02-20,145,"['1duo', 'TobyRoseman@apple', 'aseemw', 'bhushan23@stealthmode', 'fukatani', 'gustavla', 'jakesabathia2', 'slin07@apple', 'srikris@apple', 'tonybove-apple@expertsupport-apple']",3,10,"['apple', 'expertsupport-apple', 'stealthmode']","['@apple', 'Apple', 'Expert Support - Apple', 'Stealth Mode']",,2.08,143,80,69,0,6,6,6,143.0,317.0,90.0,2.2,0,47.78229
+363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3107,1382,102,Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2023-02-21,2018-05-12,249,12.449341728677734,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",2023-02-20,359,"['Ark-kun@google', 'Bobgy@google', 'IronPan@google', 'SinaChavoshi@google', 'chensun@google', 'connor-mccarthy@google', 'gaoning777@google', 'hongye-sun', 'rileyjbauer', 'zijianjoy']",1,10,['google'],"['@Google', '@google', 'Google']",,14.94,724,341,58,0,32,28,32,723.0,1455.0,90.0,2.0,0,53.50119
+221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,3088,194,43,Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2023-02-21,2021-03-27,99,31.012912482065996,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",2023-02-15,44,"['agoose77', 'bollwyvl', 'dependabot[bot]', 'dsblank@comet-ml', 'github-actions[bot]', 'joemarshall', 'jtpio@quantstack', 'madhur-tandon', 'martinRenou@quantstack', 'psychemedia@theopenuniversity']",3,10,"['comet-ml', 'quantstack', 'theopenuniversity']","['@QuantStack', '@comet-ml ', 'The Open University']",,12.98,135,71,23,0,19,459,19,135.0,370.0,90.0,2.7,0,46.84988
+138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3081,327,70,TypeScript,https://pair-code.github.io/lit,lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,pair-code,2023-02-20,2020-07-28,134,22.968051118210862,"['machine-learning', 'natural-language-processing', 'visualization']",2022-12-02,27,"['EmilyReif', 'RyanMullins@google', 'ankurtaly', 'aryan1107', 'cjqian@deepmind', 'eberts-google', 'ellenjiang7', 'iftenney@google', 'jameswex@google', 'tolga-b@google']",2,10,"['deepmind', 'google']","['@deepmind', '@google ', 'Google', 'Google, Inc.']",,6.21,88,75,31,3,1,3,1,88.0,17.0,90.0,0.2,0,31.1621
+42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3059,242,61,Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2023-02-21,2017-05-05,302,10.105238319962247,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",2022-09-18,13,"['ArchangeGabriel@archlinux', 'Inokenty90', 'Reindert94', 'davebulaval@baseline.québec', 'eliadl', 'juliangilbey@universityofcambridge', 'kinow@barcelonasupercomputingcenter', 'maxbachmann', 'orsinium@sendcloud', 'wynksaiddestroy']",5,10,"['archlinux', 'barcelonasupercomputingcenter', 'baseline.québec', 'sendcloud', 'universityofcambridge']","['@ArchLinux', '@sendcloud', 'Barcelona Supercomputing Center', 'Baseline.québec', 'University of Cambridge']",,0.79,0,0,71,5,3,2,3,0.0,0.0,90.0,0.0,0,25.64275
+698,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,3056,366,63,Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2023-02-21,2010-05-07,667,4.576807873341891,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",2023-02-20,117,"['GaelVaroquaux', 'aabadie@inria', 'esc@anaconda', 'lesteve', 'ogrisel@inria', 'pberkes@nagra,kudelski', 'pgervais', 'pierreglaser@ucl', 'tomMoral@inriasaclay-parietalteam', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",6,10,"['anaconda', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'inria', 'inriasaclay-parietalteam', 'nagra,kudelski', 'ucl']","['Anaconda Inc.', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'INRIA Saclay - Parietal team', 'Inria', 'Nagra, Kudelski', 'UCL']",,0.85,64,36,156,0,0,6,6,64.0,102.0,90.0,1.6,0,48.44274
+285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,3054,782,244,Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2023-02-21,2018-09-20,230,13.228960396039604,[],2023-02-20,135,"['CarlBeek@ethereum', 'JustinDrake', 'dankrad', 'djrtwo@ctrl^t', 'hwwhww', 'mkalinin', 'protolambda@oplabs', 'ralexstokes', 'terencechain', 'vbuterin']",3,10,"['ctrl^t', 'ethereum', 'oplabs']","['@ethereum', 'Ctrl^T', 'OP Labs']",,11.0,187,147,54,0,12,16,12,187.0,266.0,90.0,1.4,0,49.79512
+765,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,3021,238,32,Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2023-02-21,2022-09-02,24,122.23699421965318,"['outpainting', 'stablediffusion']",2023-01-24,7,"['LEBMD', 'adripo', 'donlinglok', 'ipsin', 'lkwq007@cuhk', 'mspiegel@thoughtdealership', 'tpsjr7']",2,10,"['cuhk', 'thoughtdealership']","['CUHK', 'Thought Dealership']",,4.56,46,19,6,1,0,6,6,46.0,72.0,90.0,1.6,0,29.38463
+390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,3019,431,123,Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2023-02-21,2021-12-10,62,48.13895216400911,[],2022-03-21,4,"['kcosta42', 'lochiego@texasa&mcenterforappliedtechnology', 'prafullasd', 'unixpickle']",1,10,['texasa&mcenterforappliedtechnology'],['Texas A&M Center for Applied Technology'],,0.0,0,0,15,11,0,0,0,0.0,0.0,90.0,0.0,0,8.55258
+139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,3017,606,119,Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2023-02-19,2013-03-21,517,5.825931034482759,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",2023-01-23,183,"['adamlwgriffiths@twistedpairdevelopment', 'almarklein@independentsoftwareengineer', 'asnt', 'bollu@universityofedinburgh', 'brisvag@gutsche-lab', 'campagnola', 'djhoese@spacescienceandengineeringcenter(ssec)', 'larsoner@universityofwashington', 'rossant@int-brain-labcortex-lab', 'rougier@inria']",8,10,"['gutsche-lab', 'independentsoftwareengineer', 'inria', 'int-brain-labcortex-lab', 'spacescienceandengineeringcenter(ssec)', 'twistedpairdevelopment', 'universityofedinburgh', 'universityofwashington']","['@INRIA ', '@gutsche-lab ', '@int-brain-lab @cortex-lab ', 'Independent software engineer', 'Space Science and Engineering Center (@ssec)', 'Twisted Pair Development', 'University of Edinburgh', 'University of Washington']",,3.4,37,21,121,1,4,3,4,37.0,155.0,90.0,4.2,0,52.2889
+272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,3003,448,72,Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-02-20,2010-08-19,652,4.599781181619256,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",2023-02-19,220,"['13steinj', 'Damgaard@billy', 'LilSpazJoekp@indeed', 'PythonCoderAS', 'bboe@netflix', 'jarhill0@appfolio', 'leviroth', 'nmtake', 'tmelz', 'voussoir']",4,10,"['appfolio', 'billy', 'indeed', 'netflix']","['@appfolio', '@netflix', 'Billy', 'Indeed, Inc.']",,1.38,36,30,152,0,2,12,2,36.0,51.0,90.0,1.4,0,46.59109
+156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,3002,290,40,Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2023-02-20,2020-08-05,133,22.571428571428573,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",2023-02-17,17,"['DancingSnow0517', 'PeterStolz@bitahoy', 'colesbury@facebookairesearch', 'comzyh', 'gaogaotiantian@microsoft', 'imba-tjd', 'kianmeng', 'maartenbreddels@maartenbreddels', 'ogrisel@inria', 'tanloong']",5,10,"['bitahoy', 'facebookairesearch', 'inria', 'maartenbreddels', 'microsoft']","['@bitahoy ', '@maartenbreddels', 'Facebook AI Research', 'Inria', 'Microsoft']",,1.06,20,14,31,0,7,30,7,20.0,41.0,90.0,2.0,0,38.85401
+703,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,2991,613,88,Python,,openai-python: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.,openai,2023-02-21,2020-10-25,121,24.631764705882354,"['openai', 'python']",2023-02-07,43,"['BorisPower', 'borisdayma', 'cmurtz-msft@microsoft', 'ddeville@openai', 'hallacy@openai', 'lilianweng', 'logankilpatrick@openaijulialang', 'mpokrass', 'rachellim@openai', 'sorinsuciu-msft@microsoft']",3,10,"['microsoft', 'openai', 'openaijulialang']","['@OpenAI @JuliaLang', '@openai', '@openai ', 'Microsoft']",,1.31,92,75,28,0,18,21,18,93.0,167.0,90.0,1.8,0,42.6869
+729,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,2986,193,27,Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2023-02-21,2021-10-12,71,41.971887550200805,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",2023-02-17,60,"['abhi-mosaic@mosaicml', 'bandish-shah', 'dakinggg', 'dependabot[bot]', 'dskhudia', 'eracah@mosaicml', 'hanlint@mosaicml', 'moinnadeem', ""mvpatel2000@stanford'22"", 'ravi-mosaicml']",2,10,"['mosaicml', ""stanford'22""]","['MosaicML', ""Stanford '22""]",,23.0,265,244,17,0,16,21,16,265.0,228.0,90.0,0.9,0,44.68434
+623,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2971,134,73,Python,,funcy: A fancy and practical functional tools,suor,2023-02-18,2012-10-13,540,5.496035940803383,"['functional-programming', 'utilities', 'python']",2023-02-19,31,"['AndrewWalker', 'Suor', 'browniebroke@festicket', 'despawnerer', 'eprykhodko', 'lukmdo', 'rocco66', 'taleinat', 'timgates42@iress', 'volker48@obsidian-security']",3,10,"['festicket', 'iress', 'obsidian-security']","['@obsidian-security ', 'Festicket', 'IRESS']",,0.29,4,3,126,0,0,5,5,4.0,6.0,90.0,1.5,0,37.72886
+811,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2967,203,26,Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2023-02-21,2020-01-20,161,18.395925597874225,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks']",2023-01-31,72,"['94rain', 'Wxl19980214', 'dependabot[bot]', 'e1ha', 'edublancas@ploomber', 'fferegrino', 'grnnja', 'idomic', 'neelasha23', 'yafimvo']",1,10,['ploomber'],['Ploomber'],,10.35,41,33,38,1,0,35,35,41.0,56.0,90.0,1.4,0,41.29058
+270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2966,372,40,Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2023-02-21,2018-12-21,217,13.623359580052494,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",2023-02-19,181,"['BryceBeagle@robinhood', 'DoctorJohn', 'botberry@strawberry-graphql', 'dependabot-preview[bot]', 'dependabot[bot]', 'estyxx@madedotcom', 'jkimbo', 'marcoacierno', 'patrick91@apollographql', 'pre-commit-ci[bot]']",4,10,"['apollographql', 'madedotcom', 'robinhood', 'strawberry-graphql']","['@apollographql ', '@madedotcom', '@strawberry-graphql', 'Robinhood']",,12.08,330,195,51,0,172,124,172,330.0,666.0,90.0,2.0,0,54.53994
+366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2956,309,52,Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2023-02-19,2020-04-09,149,19.725452812202096,[],2022-12-28,34,"['QuentinDuval', 'akainth015', 'amyreese@omnilib', 'bottler', 'growlix@mosaicml', 'iseessel@meta', 'jingli9111@openai', 'mannatsingh@facebook', 'min-xu-ai', 'prigoyal@google']",6,10,"['facebook', 'google', 'meta', 'mosaicml', 'omnilib', 'openai']","['@omnilib ', 'Facebook', 'Google', 'Meta', 'MosaicML', 'OpenAI']",,1.02,12,2,35,2,0,1,1,12.0,22.0,90.0,1.8,0,34.79811
+77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2946,419,89,Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2023-02-16,2014-09-30,438,6.723834365829801,[],2020-04-07,30,"['TimShawver', 'andyfaff', 'blink1073@mongodb', 'consideRatio@sundellopensourceconsultingab', 'fhgd', 'greenberga', 'hottwaj', 'itcarroll', 'snth', 'ssanderson']",2,10,"['mongodb', 'sundellopensourceconsultingab']","['MongoDB', 'Sundell Open Source Consulting AB']",,0.0,7,0,102,35,0,3,3,7.0,3.0,90.0,0.4,0,22.79335
+792,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2944,232,79,Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2023-02-21,2022-07-15,31,92.82882882882883,[],2023-02-21,45,"['antinucleon@facebook', 'chenyang78@meta', 'frank-wei', 'hl475', 'ipiszy@facebook', 'muchulee8', 'qxy11', 'tenpercent', 'terrychenism', 'tissue3@cornelluniversity']",3,10,"['cornelluniversity', 'facebook', 'meta']","['Cornell University', 'Facebook', 'Meta']",,3.08,218,169,7,0,2,3,2,218.0,673.0,90.0,3.1,0,40.09043
+624,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2943,235,36,Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2023-02-21,2012-04-26,564,5.210166919575114,[],2023-01-26,96,"['MarcinKonowalczyk@universityofoxford', 'N8Brooks', 'bbayles@wurlinc', 'diazona', 'erikrose@mozillagoogle', 'ilai-deutel@google', 'jaraco@google', 'jferard', 'michael-celani', 'nanouasyn']",4,10,"['google', 'mozillagoogle', 'universityofoxford', 'wurlinc']","['@google', '@mozilla @google', '@wurlinc ', 'Google', 'University of Oxford']",,1.46,28,13,132,0,3,4,3,28.0,49.0,90.0,1.8,0,44.82288
+704,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2938,230,48,Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2023-02-21,2012-10-10,541,5.430683918669131,"['python', 'data-validation']",2021-05-05,63,"['CD3@forthaysstateuniversity(fhsu)', 'baubie@qreserve', 'calve', 'crunk1', 'dkellner', 'funkyfuture', 'girogiro', 'hvdklauw@zupr-io', 'martijnvermaat', 'nicolaiarocci@cir2000']",4,10,"['cir2000', 'forthaysstateuniversity(fhsu)', 'qreserve', 'zupr-io']","['@zupr-io ', 'CIR 2000', 'Fort Hays State University (FHSU)', 'QReserve Inc.']",,0.0,7,2,126,22,0,2,2,7.0,8.0,90.0,1.1,0,30.76206
+476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2925,362,95,Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2023-02-21,2015-12-23,374,7.820855614973262,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",2023-02-16,52,"['ceball', 'gbrener', 'ianthomas23@anaconda', 'jbcrail', 'jbednar@anaconda', 'jcrist@voltrondata', 'jonmmease@hextechnologies', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'hextechnologies', 'voltrondata']","['@azavea', '@voltrondata', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies']",,1.88,47,32,87,0,5,14,5,47.0,62.0,90.0,1.3,0,43.46955
+937,ml-dl,https://github.com/williamyang1991/vtoonify,,,,williamyang1991/vtoonify,VToonify,2921,356,61,Jupyter Notebook,,[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer,williamyang1991,2023-02-21,2022-09-09,23,123.17469879518072,"['face', 'siggraph-asia', 'style-transfer', 'stylegan2', 'toonify', 'video-style-transfer']",2023-02-15,4,"['AK391@huggingface', 'EndlessSora@nanyangtechnologicaluniversity', 'neeksor', 'williamyang1991@ntu']",3,10,"['huggingface', 'nanyangtechnologicaluniversity', 'ntu']","['Huggingface', 'NTU', 'Nanyang Technological University']",,3.21,22,7,6,0,0,0,0,22.0,48.0,90.0,2.2,0,27.00609
+660,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2915,663,155,C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2023-02-21,2017-09-29,281,10.3473630831643,[],2023-02-02,333,"['artemrakhov-glow', 'bertmaher', 'gcatron', 'jackm321@facebook', 'jfix71', 'nadavrot', 'nickgg', 'opti-mix', 'qcolombet', 'yinghai@facebook']",1,10,['facebook'],"['@facebook ', 'Facebook']",,2.73,28,5,66,1,0,0,0,28.0,43.0,90.0,1.5,0,37.76108
+761,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2896,775,97,OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2023-02-19,2018-12-12,219,13.223744292237443,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",2023-02-20,158,"['SooluThomas@ibm', 'delapuente@ibmquantum', 'derivation@ibm', 'diego-plan9@ibmresearch', 'hushaohan@jpmorganchase&co.', 'jakelishman@ibm', 'jaygambetta@ibm', 'mtreinish', 'nonhermitian@ibm', 'qiskit-bot']",4,10,"['ibm', 'ibmquantum', 'ibmresearch', 'jpmorganchase&co.']","['@IBM', '@IBM ', '@IBMQuantum', '@IBMResearch ', 'IBM', 'JPMorgan Chase & Co.']",,1.6,55,30,51,0,16,21,16,57.0,41.0,90.0,0.7,0,45.67915
+709,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2896,175,26,Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2023-02-21,2019-03-10,206,14.029065743944637,"['pandas', 'python', 'parallel']",2023-02-12,25,"['alvail', 'apahl@mpiofmolecularphysiology(dortmund)', 'bra-fsn', 'dice89@outsmart.aigmbh', 'jorenham@boatboatboat', 'masguit42@intema.ai', 'nalepae@https://www.kiln.fi/', 'till-m@swissdatasciencecenter', 'tobiasedwards', 'vaaaaanquish@caddi']",7,10,"['boatboatboat', 'caddi', 'https://www.kiln.fi/', 'intema.ai', 'mpiofmolecularphysiology(dortmund)', 'outsmart.aigmbh', 'swissdatasciencecenter']","['@SwissDataScienceCenter', 'BoatBoatBoat', 'CADDi inc.', 'INTEMA.AI', 'MPI of Molecular Physiology (Dortmund)', 'https://www.kiln.fi/', 'outsmart.ai GmbH']",,0.96,32,21,48,0,8,10,8,32.0,61.0,90.0,1.9,0,42.88483
+488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2875,878,106,Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2023-02-21,2013-09-30,490,5.863927738927739,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",2023-02-14,411,"['Illviljan', 'clarkfitzg@mathandstatsdepartment', 'dcherian@ncar', 'fmaussion@universityofinnsbruck', 'fujiisoup', 'keewis', 'mathause@iacethzurich', 'max-sixty', 'shoyer@google', 'spencerkclark@allenai/noaa-gfdl']",6,10,"['allenai/noaa-gfdl', 'google', 'iacethzurich', 'mathandstatsdepartment', 'ncar', 'universityofinnsbruck']","['@NCAR', '@allenai / @NOAA-GFDL', '@google ', 'IAC @ ETH Zurich', 'Math and Stats Department', 'University of Innsbruck']",,8.63,314,156,114,0,9,8,9,314.0,666.0,90.0,2.1,0,58.05233
+261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2875,248,46,Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2023-02-20,2021-07-28,82,35.0609756097561,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",2023-02-15,14,"['Emerald01@salesforceresearch', 'Shreyanand@redhat', 'aadyotb@salesforce', 'chenghaoliu89', 'cnll0075', 'isenilov@twilio', 'jonwiggins@chartbeatillinoishackny', 'paulkass', 'rafaelleinio@wandercom', 'uchiiii']",6,10,"['chartbeatillinoishackny', 'redhat', 'salesforce', 'salesforceresearch', 'twilio', 'wandercom']","['@Chartbeat @Illinois @hackny', '@Salesforce', '@wandercom', 'Red Hat Inc.', 'Salesforce Research', 'Twilio']",,0.77,15,12,19,0,13,12,13,15.0,10.0,90.0,0.7,0,35.99737
+787,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2865,486,94,Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2023-02-20,2019-02-05,211,13.569012178619756,[],2023-02-06,44,"['adrienbrunet', 'bobthemighty@carbon-re', 'daniel-butler', 'gaiachik@madedotcom', 'hjwp', 'katherinetozer', 'luanchang', ""nadamsoreilly@o'reillymedia"", 'susanmade', 'xtaje']",3,10,"['carbon-re', 'madedotcom', ""o'reillymedia""]","['@carbon-re ', '@madedotcom ', ""O'Reilly Media""]",,0.19,1,0,49,0,0,0,0,1.0,0.0,90.0,0.0,0,27.68912
+154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2839,195,55,Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2023-02-21,2019-06-12,193,14.709844559585493,"['pandas', 'dataframe', 'gui', 'viewer']",2022-03-16,13,"['John-Ted', 'Marco-Ray', 'SayonB', 'adamerose', 'fdion@dionresearch', 'guilecardoso', 'jmartens', 'mswastik', 'slabko']",1,10,['dionresearch'],['Dion Research LLC'],,0.02,8,3,45,11,0,12,12,8.0,9.0,90.0,1.1,0,24.22223
+170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2793,384,50,Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2023-02-21,2020-05-04,146,19.0927734375,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",2023-02-17,36,"['HansikaPH', 'Kevin-Chen0', 'LeonieFreisinger', 'MateusGheorghe@stanforduniversity', 'alfonsogarciadecorral', 'bhausleitner', 'judussoari', 'karl-richter@technicaluniversityofmunich', 'noxan', 'ourownstory@stanforduniversity']",2,10,"['stanforduniversity', 'technicaluniversityofmunich']","['Stanford University', 'Technical University of Munich']",,6.92,245,157,34,0,8,6,8,245.0,354.0,90.0,1.4,0,42.54581
+203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2791,137,48,Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2023-02-20,2021-04-06,98,28.438136826783115,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",2021-05-06,4,"['JopaXd', 'LukasMasuch', 'adriangb', 'raethlein']",0,10,[],[],,0.0,9,4,23,22,0,6,6,9.0,6.0,90.0,0.7,0,12.97685
+641,testing,https://github.com/behave/behave,,,,behave/behave,behave,2769,608,119,Python,,"behave: BDD, Python style.",behave,2023-02-18,2011-10-25,591,4.684146930884485,[],2022-12-19,86,"['Katherinesun@smartsgroupmarketsurveillance,nasdaqomx', 'berdroid', 'bittner@painless-software', 'florentx', 'jeamland', 'jenisys', 'johbo@bo-techgmbh&co.kg', 'msabramo@adobe', 'r1chardj0n3s', 'vrutkovs@redhat']",5,10,"['adobe', 'bo-techgmbh&co.kg', 'painless-software', 'redhat', 'smartsgroupmarketsurveillance,nasdaqomx']","['@adobe', '@painless-software ', 'Red Hat', 'SMARTS Group Market Surveillance, NASDAQ OMX', 'bo-tech GmbH & Co. KG']",,0.83,19,11,138,14,0,1,1,19.0,33.0,90.0,1.7,0,36.51534
+34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2714,230,43,Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2023-02-19,2020-04-06,150,18.05893536121673,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",2022-10-28,20,"['ParthGandhi', 'Peritract@sigmalabs', 'cedricconol', 'henrifroese@imctrading', 'ishanarora04', 'jbesomi', 'mk2510@aaltouniversity', 'selimelawwa@incorta', 'sleeper', 'vidyap-xgboost@fiolabs-internal']",5,10,"['aaltouniversity', 'fiolabs-internal', 'imctrading', 'incorta', 'sigmalabs']","['@Incorta ', '@fiolabs-internal ', 'Aalto University', 'IMC Trading', 'Sigma Labs']",,0.04,4,1,35,4,0,2,2,4.0,3.0,90.0,0.8,0,28.15597
+915,util,https://github.com/ets-labs/python-dependency-injector,1.0,,,ets-labs/python-dependency-injector,python-dependency-injector,2685,200,45,Python,https://python-dependency-injector.ets-labs.org/,python-dependency-injector: Dependency injection framework for Python,ets-labs,2023-02-21,2015-01-04,424,6.326152810501514,"['python', 'dependency-injection', 'ioc', 'ioc-container', 'factory', 'singleton', 'design-patterns', 'dependency-injection-container', 'dependency-injection-framework', 'flask', 'aiohttp', 'asyncio', 'python3', 'python-3', 'python-2', 'flask-application', 'flask-restful', 'threadlocal']",2022-12-19,29,"['ebr@brodsky.dev', 'kinow@barcelonasupercomputingcenter', 'kootoopas@nuclearmode', 'metaperl', 'piperubio@silocydataspa', 'rda-dev', 'rmk135@ets-labspythontechnicalleader', 'sonthonaxrk', 'withshubh@tooljet', 'xotonic@lux-core']",7,10,"['barcelonasupercomputingcenter', 'brodsky.dev', 'ets-labspythontechnicalleader', 'lux-core', 'nuclearmode', 'silocydataspa', 'tooljet']","['@LUX-Core ', '@ToolJet', '@ets-labs Python Technical Leader', '@nuclearmode', 'Barcelona Supercomputing Center', 'SilocyData SPA', 'brodsky.dev']",,0.67,40,16,99,2,0,40,40,40.0,37.0,90.0,0.9,0,42.20074
+130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2669,270,82,Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2023-02-21,2014-10-16,435,6.123566043920026,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",2023-02-15,61,"['adrianeboyd', 'danieldk@explosion', 'henningpeters', 'honnibal@founderexplosion', 'ines@founderexplosion', 'justindujardin@dujardinconsulting,mathy', 'shadeMe', 'svlandeg@explosion&oxykodit', 'syllog1sm@founderexplosion', 'tiangolo']",4,10,"['dujardinconsulting,mathy', 'explosion', 'explosion&oxykodit', 'founderexplosion']","['@explosion ', 'DuJardin Consulting, @mathy', 'Explosion & OxyKodit', 'Founder @explosion', 'Founder @explosion ']",,3.23,56,48,102,0,13,11,13,56.0,36.0,90.0,0.6,0,45.30759
+111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2647,326,70,Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2023-02-17,2016-09-15,335,7.881327094853254,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",2020-01-22,14,"['AshwinB-hat', 'ivanprado@www.ivanprado.es', 'jnothman@canva', 'kmike@zytedata,scrapinghub', 'krkd', 'lopuhin@zyte', 'mehaase@infosecandaimitre', 'rg2410@gardeassetmanagement', 'teabolt', 'zzz4zzz']",6,10,"['canva', 'gardeassetmanagement', 'infosecandaimitre', 'www.ivanprado.es', 'zyte', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Canva', 'Garde Asset Management', 'Infosec and AI @MITRE', 'Zyte', 'www.ivanprado.es']",,0.0,2,0,78,38,0,4,4,2.0,1.0,90.0,0.5,0,24.11151
+113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2647,461,97,C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2023-02-18,2017-07-03,294,8.994660194174758,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",2021-06-22,21,"['Abhijit-2592@mlgoogle', 'Elizabeth2507', 'bgamari@welltypedllp', 'cbiehl', 'janithwanni@universityofsrijayewardenepura', 'julien-c@huggingface', 'ravenscroftj@filamentai', 'shepdl', 'svlandeg@explosion&oxykodit', 'thomwolf@huggingface']",6,10,"['explosion&oxykodit', 'filamentai', 'huggingface', 'mlgoogle', 'universityofsrijayewardenepura', 'welltypedllp']","['@FilamentAI ', '@huggingface ', 'Explosion & OxyKodit', 'ML @Google', 'University of Sri Jayewardenepura', 'Well Typed LLP']",,0.0,5,2,69,20,0,1,1,5.0,3.0,90.0,0.6,0,26.26732
+428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2645,272,34,Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2023-02-21,2014-09-13,440,6.003566796368353,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",2023-02-14,172,"['asottile', 'carljm@instagram', 'ericvw@bloomberg', 'florentx', 'jdufresne@pioneervalleybooks', 'pre-commit-ci[bot]', 'scop@upcloudltd', 'sigmavirus24@tableau&salesforce', 'tarekziade@elastic', 'xZise']",6,10,"['bloomberg', 'elastic', 'instagram', 'pioneervalleybooks', 'tableau&salesforce', 'upcloudltd']","['@UpCloudLtd ', '@bloomberg ', '@elastic ', '@tableau & @salesforce', 'Instagram', 'Pioneer Valley Books']",,1.73,65,61,103,0,0,10,10,65.0,110.0,90.0,1.7,0,51.1248
+801,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2632,215,57,Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2023-02-21,2011-06-24,608,4.323867636704999,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",2023-02-07,42,"['ThomasWaldmann', 'alanhamlett@wakatime', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'ft-arnout@fireteam', 'lepture@hsiaoming', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'untitaker@getsentry']",5,10,"['fireteam', 'getsentry', 'hsiaoming', 'sentry', 'wakatime']","['@getsentry ', '@hsiaoming ', '@wakatime', 'Fireteam', 'Sentry']",,0.77,16,16,142,0,2,3,2,16.0,1.0,90.0,0.1,0,38.19682
+886,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2627,348,86,Jupyter Notebook,,deep-rl-class: This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.,huggingface,2023-02-21,2022-04-21,43,59.899022801302934,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",2023-02-15,44,"['Artachtron', 'Mike-Wazowsk1', 'SuperSecureHuman', 'avoroshilov', 'dario248', 'diskshima', 'imflash217', 'osanseviero@huggingface', 'simoninithomas@huggingface', 'theicfire']",1,10,['huggingface'],"['@huggingface', 'Hugging Face']",,10.75,138,104,10,0,0,0,0,138.0,240.0,90.0,1.7,0,34.83132
+539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2626,562,52,Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2023-02-21,2019-12-02,168,15.604414261460102,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",2022-12-25,20,"['ItachiUchihaVictor', 'MiFei', 'ghaddarAbs', 'itsucks', 'jacobrxz@huawei-noah', 'jingmu123', 'jxfeb', 'mengxj08@nationaluniversityofsingapore', 'zbravo', 'zwjyyc@pekingunversity']",3,10,"['huawei-noah', 'nationaluniversityofsingapore', 'pekingunversity']","['@huawei-noah ', 'National University of Singapore', 'Peking unversity']",,0.37,18,4,39,2,0,0,0,18.0,18.0,90.0,1.0,0,28.18862
+85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2625,401,62,Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2023-02-21,2018-04-13,253,10.346283783783784,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",2021-10-29,36,"['PantelisElinas', 'adocherty@exoflare', 'daokunzhang@monashuniversity', 'habiba-h', 'huonw@xoflare', 'kieranricardo', 'kjun9', 'sktzwhj', 'timpitman@exoflare', 'youph@data61']",4,10,"['data61', 'exoflare', 'monashuniversity', 'xoflare']","['@data61 ', '@xoflare ', 'ExoFlare', 'Monash University']",,0.0,20,3,59,16,0,5,5,20.0,16.0,90.0,0.8,0,29.71731
+748,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,2619,189,51,,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2023-02-21,2022-08-09,28,93.06091370558376,"['fastapi', 'best-practices']",2023-01-09,4,"['anton-shum', 'nbanic', 'paulovitorweb', 'zhanymkanov@viaprotocol']",1,10,['viaprotocol'],['@viaprotocol'],,0.87,11,6,7,1,0,0,0,11.0,19.0,90.0,1.7,0,19.58814
+611,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2594,217,47,Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2023-02-21,2011-05-13,614,4.21984661863816,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",2023-01-10,91,"['asmeurer@quansight', 'bulletmark', 'epmoyer', 'inducer@scientificcomputing,csuiuc', 'jstriebel@scalableminds', 'mvanderkamp', 'nmichaud', 'swarmer', 'wronglink', 'xywei@uiuc']",4,10,"['quansight', 'scalableminds', 'scientificcomputing,csuiuc', 'uiuc']","['@Quansight ', '@scalableminds', 'Scientific Computing, CS@UIUC', 'UIUC']",,0.75,16,9,143,1,2,6,2,16.0,20.0,90.0,1.2,0,40.25842
+369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2591,296,53,C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2023-02-21,2019-12-06,167,15.448892674616696,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",2023-02-17,16,"['Anychnn', 'HandH1998@beihanguniversity', 'Taka152@bytedance', 'aachong', 'godweiyang@bytedanceantnlp', 'hexisyztem@bytedance,ailab', 'lileicc@ucsb', 'neopro12@bytedanceailab', 'xingyaoww@universityofillinoisaturbana-champaign', 'zjersey@bytedancethinklab-sjtu']",8,10,"['beihanguniversity', 'bytedance', 'bytedance,ailab', 'bytedanceailab', 'bytedanceantnlp', 'bytedancethinklab-sjtu', 'ucsb', 'universityofillinoisaturbana-champaign']","['@ByteDance @AntNLP', '@bytedance @Thinklab-SJTU', 'Beihang University', 'ByteDance Inc.', 'Bytedance AI Lab', 'Bytedance, AI Lab', 'UCSB', 'University of Illinois at Urbana-Champaign']",,1.31,52,30,39,0,3,4,3,52.0,55.0,90.0,1.1,0,39.81803
+431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2586,320,48,Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2023-02-21,2018-08-23,234,11.010948905109489,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui', 'dataapp', 'dataviz', 'bokeh', 'datascience', 'holoviews', 'hvplot', 'jupyter', 'matplotlib', 'plotly']",2023-02-21,115,"['Hoxbro', 'MarcSkovMadsen@data,modelsandanalytics', 'ceball', 'dependabot[bot]', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda', 'xavArtley@cea']",4,10,"['anaconda', 'azavea', 'cea', 'data,modelsandanalytics']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Data, models and analytics', 'cea']",,13.92,549,284,55,0,7,100,7,549.0,691.0,90.0,1.3,0,51.0124
+433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2582,633,138,Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2023-02-20,2015-01-15,422,6.106081081081081,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",2022-03-16,85,"['addisonlynch', 'bashtage', 'davidastephens', 'femtotrader', 'gfyoung', 'gliptak', 'hayd', 'simongarisch', 'sinhrks', 'suminb@navercloud']",1,10,['navercloud'],['NAVER Cloud'],,0.04,18,5,99,11,0,3,3,18.0,166.0,90.0,9.2,0,36.57362
+675,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2571,563,29,JavaScript,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2023-02-21,2021-09-13,75,34.14990512333966,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",2023-02-19,10,"['TheGoddessInari', 'VeXHarbinger@highfalootintechnologycorp.', 'kamalkraj@saamaresearch', 'katlyn', 'randyau@bitly', 'saharmor']",3,10,"['bitly', 'highfalootintechnologycorp.', 'saamaresearch']","['@saamaresearch ', 'Bitly', 'High Falootin Technology Corp.']",,2.21,9,3,18,0,0,0,0,9.0,8.0,90.0,0.9,0,27.90602
+268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2568,232,42,TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2023-02-21,2017-05-04,302,8.479245283018868,"['jupyterlab', 'jupyter', 'jupyter-notebook']",2023-02-18,34,"['cameronoelsen@google', 'ddavidebor@fermiumlabssrl(fermiumlabs)', 'declanvk', 'dependabot[bot]', 'ellisonbg@amazonwebservices', 'jupyterlab-bot', 'krassowski@universityofoxford|quansight', 'lucbouchard1', 'mbektas@netflix', 'nproctor']",5,10,"['amazonwebservices', 'fermiumlabssrl(fermiumlabs)', 'google', 'netflix', 'universityofoxford|quansight']","['@google', '@netflix', 'Amazon Web Services', 'Fermium LABS srl ( @fermiumlabs )', 'University of Oxford | Quansight']",,6.4,102,65,71,0,10,4,10,102.0,179.0,90.0,1.8,0,47.25502
+159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2563,519,82,Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2023-02-17,2013-08-20,496,5.165850849409733,[],2020-10-09,23,"['RazerM', 'arcolife', 'fusiongyro@nationalradioastronomyobservatory', 'goldsmith@localkitchens', 'imkevinxu', 'infothrill', 'javierprovecho', 'jongoodnow@vistaprint', 'kazuar', 'sachavakili']",3,10,"['localkitchens', 'nationalradioastronomyobservatory', 'vistaprint']","['Local Kitchens', 'National Radio Astronomy Observatory', 'Vistaprint']",,0.0,7,1,116,29,0,0,0,7.0,8.0,90.0,1.1,0,23.98263
+600,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2546,929,98,Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2023-02-20,2020-03-08,154,16.486586493987048,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",2023-02-18,36,"['12rambau@faoopenforis', '3r3n-n', 'ErikSeras', 'KMarkert@google', 'cclauss@christianclauss', 'csaybar@emcdestudent', 'giswqs@universityoftennessee', 'karelvancamp', 'ppoon23', 'slowy07@google']",5,10,"['christianclauss', 'emcdestudent', 'faoopenforis', 'google', 'universityoftennessee']","['@google', 'Christian Clauss', 'EMCDE Student', 'FAO @openforis', 'University of Tennessee']",,7.33,55,53,36,0,54,47,54,55.0,80.0,90.0,1.5,0,46.53926
+94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2538,310,62,Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2023-02-18,2010-02-25,677,3.7441517386722865,[],2022-07-12,116,"['and3rson@newfirepartners,mediwareinc,holmusk,unitio-org,urwid', 'aszlig', 'eevee', 'mgiusti', 'pazz', 'tonycpsu', 'tu500', 'ulidtko', 'wackywendell', 'wardi']",1,10,"['newfirepartners,mediwareinc,holmusk,unitio-org,urwid']","['@NewfirePartners, @mediwareinc, @Holmusk, @unitio-org, @urwid']",,0.02,10,2,158,19,0,4,4,10.0,5.0,90.0,0.5,0,28.01359
+98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2525,452,119,Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2023-02-19,2014-03-17,466,5.4151348039215685,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",2023-02-15,57,"['Colin-b', 'arkottke', 'efreeway', 'ericremoreynolds', 'fzumstein@xlwings', 'kgrudzin', 'knmaki', 'sdementen', 'y2kbugger', 'yuyueugene84@kyosei.ai']",2,10,"['kyosei.ai', 'xlwings']","['Kyosei.ai', 'xlwings']",,4.13,122,97,109,0,28,16,28,122.0,197.0,90.0,1.6,0,47.34912
+553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2524,304,50,Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2023-02-20,2018-07-30,238,10.59232613908873,[],2023-02-17,86,"['Balandat@meta', 'ItsMrLin', 'SebastianAment@meta', 'danielrjiang@facebook', 'dependabot[bot]', 'dme65@facebook', 'esantorella@meta', 'saitcakmak@meta', 'sdaulton@meta', 'wjmaddox']",2,10,"['facebook', 'meta']","['@Facebook', '@Meta', 'Facebook', 'Meta']",,6.79,203,159,56,0,12,7,12,203.0,825.0,90.0,4.1,0,49.81008
+845,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2523,247,53,Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2023-02-20,2019-05-03,198,12.696621135873473,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",2023-02-16,32,"['0xflotus', 'Attol8', 'NimaSarajpoor', 'SaVoAMP', 'alvii147', 'bdice@nvidia', 'bfattori-TDA@tdameritrade', 'cuichenli@dashbase/appdynamics/cisco', 'mihailescum', 'seanlaw']",3,10,"['dashbase/appdynamics/cisco', 'nvidia', 'tdameritrade']","['@NVIDIA', '@TDAmeritrade', '@dashbase / @AppDynamics / @Cisco']",,3.4,54,35,46,0,2,7,2,54.0,172.0,90.0,3.2,0,41.72119
+809,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2493,247,34,Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2023-02-21,2019-10-05,176,14.118932038834952,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",2023-02-14,54,"['Hazedd', 'allcontributors[bot]', 'bkis@dh-cologne', 'davidbrochart@quantstack', 'dependabot-preview[bot]', 'frankie567@beemydesk', 'matyasrichter@fitctuinprague', 'nullhack', 'rnd42@intelepeer', 'yezz123@yezz.']",6,10,"['beemydesk', 'dh-cologne', 'fitctuinprague', 'intelepeer', 'quantstack', 'yezz.']","['@BeeMyDesk', '@DH-Cologne', '@QuantStack', 'FIT CTU in Prague', 'IntelePeer', 'Yezz LLC.']",,2.33,10,10,41,0,22,28,22,10.0,14.0,90.0,1.4,0,44.45805
+708,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2469,323,43,Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2023-02-21,2018-11-05,224,11.00828025477707,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",2022-12-30,20,"['DanielR59', 'SuryaThiru', 'abtheo@otterclamfinance', 'aplonska@mljar', 'diogosilva30', 'neilmehta31@bitspilanihyderabadcampus', 'partrita@biomega', 'pplonski@mljar', 'shahules786', 'uditswaroopa@blockframenft']",5,10,"['biomega', 'bitspilanihyderabadcampus', 'blockframenft', 'mljar', 'otterclamfinance']","['@mljar', 'BITS Pilani Hyderabad Campus', 'Biomega', 'OtterClam Finance', 'blockframenft']",,0.4,26,13,52,2,4,12,4,26.0,62.0,90.0,2.4,0,36.98301
+907,ml,https://github.com/rucaibox/recbole,,,,rucaibox/recbole,RecBole,2464,450,40,Python,https://recbole.io/,"RecBole: A unified, comprehensive and efficient recommendation library",rucaibox,2023-02-21,2020-06-11,140,17.49290060851927,"['recommender-systems', 'collaborative-filtering', 'knowledge-graph', 'ctr-prediction', 'deep-learning', 'pytorch', 'graph-neural-networks', 'sequential-recommendation', 'recommendations', 'recommendation-system', 'recommender']",2023-02-17,59,"['2017pxy@renminuniversityofchina', 'ShanleiMu@renminuniversityofchina', 'Sherry-XLL@renminuniversityofchina', 'Wicknight', 'chenyushuo', 'chenyuwuxin', 'guijiql@bupt', 'hyp1231@renminuniversityofchina', 'linzihan-backforward@renminuniversityofchina', 'tsotfsk@bupt']",2,10,"['bupt', 'renminuniversityofchina']","['BUPT', 'Renmin University of China']",,8.67,537,492,33,0,3,3,3,537.0,236.0,90.0,0.4,0,41.74203
+735,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2453,391,75,Python,https://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2023-02-21,2015-04-17,409,5.987099023709902,"['python', 'impala', 'pandas', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'pyarrow', 'mssql', 'polars', 'snowflake', 'trino']",2023-02-21,126,"['cpcloud@voltrondata', 'datapythonista', 'gforsyth@voltrondata', 'ibis-squawk-bot[bot]', 'jcrist@voltrondata', 'krzysztof-kwitt', 'kszucs@voltron-data/ursa-computing', 'renovate[bot]', 'wesm@voltrondata', 'xmnlab@xmnlab']",3,10,"['voltron-data/ursa-computing', 'voltrondata', 'xmnlab']","['@voltron-data / @ursa-computing', '@voltrondata', 'Voltron Data', 'xmnlab']",,50.37,778,706,96,0,7,5,7,778.0,1515.0,90.0,1.9,0,55.47232
+814,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2436,173,12,Python,https://docs.deepchecks.com,Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2023-02-21,2021-10-11,71,34.17234468937876,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",2023-02-21,40,"['ItayGabbay', 'JKL98ISR', 'Nadav-Barak', 'TheSolY', 'benisraeldan', 'matanper', 'nirhutnik@deepchecks', 'noamzbr@deepchecks', 'shir22', 'yromanyshyn@starnavi']",2,10,"['deepchecks', 'starnavi']","['@deepchecks ', 'Deepchecks', 'starnavi']",,12.52,361,143,17,0,21,36,21,361.0,136.0,90.0,0.4,0,41.61969
+944,ml,https://github.com/thudm/cogvideo,,,,thudm/cogvideo,CogVideo,2435,224,90,Python,,"Text-to-video generation. The repo for ICLR2023 paper ""CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers""",thudm,2023-02-21,2022-05-29,38,63.36431226765799,[],2022-11-17,4,"['AK391@huggingface', 'mallorbc@brillibits', 'wenyihong']",2,10,"['brillibits', 'huggingface']","['Brillibits', 'Huggingface']",,0.38,9,4,9,3,0,0,0,9.0,14.0,90.0,1.6,0,19.38862
+136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2428,336,38,Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2023-02-21,2020-03-20,152,15.898971000935454,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",2023-01-26,2,"['ddangelov', 'gclen']",0,10,[],[],,0.21,24,11,36,1,2,7,2,24.0,26.0,90.0,1.1,0,19.56539
+172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2420,123,29,TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2023-02-19,2019-11-08,171,14.093178036605657,[],2022-12-05,8,"['GoldenCorgi', 'LiewYouSheng', 'callistachang', 'danthe3rd', 'dependabot[bot]', 'dmitryvinn@engineeringmanagerai/mlmeta', 'louismartin', 'nzw0301@ibm']",2,10,"['engineeringmanagerai/mlmeta', 'ibm']","['@ibm', 'Engineering Manager AI/ML@Meta']",,0.31,6,2,40,3,0,12,12,6.0,11.0,90.0,1.8,0,28.6783
+51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2391,342,28,Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2023-02-20,2018-06-23,243,9.81642228739003,[],2023-02-15,145,"['AndrewHoos', 'blueyed@freelancer,upforhire', 'brettcannon@microsoft', 'dependabot[bot]', 'dstanek', 'ionelmc', 'jdufresne@pioneervalleybooks', 'msabramo@adobe', 'nedbat', 'strichter@shoobx']",5,10,"['adobe', 'freelancer,upforhire', 'microsoft', 'pioneervalleybooks', 'shoobx']","['@adobe', '@microsoft ', 'Freelancer, up for hire', 'Pioneer Valley Books', 'Shoobx, Inc.']",,9.69,116,64,57,0,17,25,17,116.0,294.0,90.0,2.5,0,53.19983
+174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2387,92,33,Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2023-02-21,2017-06-01,298,7.987093690248566,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",2022-07-14,19,"['Conight', 'JonShedden', 'alonm-totango@totango', 'darora-zipline', 'delirious-lettuce', 'dependabot-preview[bot]', 'dependabot[bot]', 'liiight', 'pre-commit-ci[bot]', 'pyup-bot@pyupio']",2,10,"['pyupio', 'totango']","['@pyupio', '@totango ']",,0.29,4,1,70,7,0,5,5,4.0,1.0,90.0,0.2,0,25.01699
+296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2383,740,166,Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2023-02-20,2016-04-24,356,6.685771543086172,[],2022-11-17,33,"['MillionIntegrals@millionintegrals', 'aray-openai@openai', 'bayesian', 'gdb', 'jonasschneider', 'machinaut@openai', 'roboticsdashboard', 'tlbtlbtlb@umbrellaresearch', 'welinder@openai', 'wojzaremba']",3,10,"['millionintegrals', 'openai', 'umbrellaresearch']","['@openai', 'Million Integrals', 'Umbrella Research']",,0.02,27,2,83,3,0,1,1,27.0,23.0,90.0,0.9,0,31.06617
+129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2378,370,61,Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2023-02-19,2014-05-07,459,5.180827886710239,"['holoviz', 'holoviews', 'plotting']",2023-02-18,131,"['Hoxbro', 'ahuang11@prefect!', 'basnijholt@microsoft', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jonmmease@hextechnologies', 'maximlt@anaconda', 'philippjfr@anaconda', 'poplarShift@apn']",5,10,"['anaconda', 'apn', 'hextechnologies', 'microsoft', 'prefect!']","['@Microsoft', 'APN', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies', 'Prefect!']",,3.12,182,85,107,0,6,41,6,182.0,278.0,90.0,1.5,0,50.21171
+696,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2374,200,39,Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2023-02-21,2020-02-18,157,15.107272727272727,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",2023-02-20,69,"['8bitmp3@tensorflow,jax,flax', 'CreativeEntropy@googledeepmind', 'LenaMartens', 'aslanides@deepmind', 'chris-chris', 'hamzamerzic@googledeepmind', 'inoryy@deepmind', 'joaogui1', 'tomhennigan@deepmind', 'trevorcai@openai']",4,10,"['deepmind', 'googledeepmind', 'openai', 'tensorflow,jax,flax']","['@DeepMind', '@deepmind', '@openai', 'Google DeepMind', 'tensorflow, jax, flax']",,2.54,42,33,37,0,3,4,3,42.0,26.0,90.0,0.6,0,40.21053
+145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2363,433,62,C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2023-02-21,2017-07-06,293,8.041322314049587,[],2023-02-05,65,"['dbespalov', 'dyashuni@josh', 'groodt', 'jlmelville', 'kishorenc', 'marekhanus', 'orrorcol', 'piem@aubio', 'slice4e@intel', 'yurymalkov@twittercortex']",4,10,"['aubio', 'intel', 'josh', 'twittercortex']","['@aubio', 'Intel', 'Josh', 'Twitter Cortex']",,0.81,23,13,69,1,1,2,1,23.0,12.0,90.0,0.5,0,36.17746
+858,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2362,155,43,Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2023-02-18,2015-11-16,379,6.227495291902072,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",2023-01-15,43,"['ajbozarth@ibmcodait', 'baldwint@cascadedatalabs', 'fcollonval@quantstack', 'gahjelle@realpython', 'itamarst', 'krassowski@universityofoxford|quansight', 'minrk@simularesearchlaboratory', 'singingwolfboy', 'vidartf', 'willingc@willingconsulting']",7,10,"['cascadedatalabs', 'ibmcodait', 'quantstack', 'realpython', 'simularesearchlaboratory', 'universityofoxford|quansight', 'willingconsulting']","['@QuantStack', '@realpython ', 'Cascade Data Labs', 'IBM CODAIT', 'Simula Research Laboratory', 'University of Oxford | Quansight', 'Willing Consulting']",,0.19,23,8,88,1,0,9,9,23.0,21.0,90.0,0.9,0,40.80868
+691,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2358,408,53,Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2023-02-21,2021-07-02,85,27.51,"['text2image', 'text-to-image']",2022-10-02,7,"['DrJKL', 'caladri@azéotropecanada', 'microraptor', 'nerdyrodent', 'smn57', 'thehappydinoa@censys']",2,10,"['azéotropecanada', 'censys']","['@censys ', 'Azéotrope Canada Inc.']",,0.08,6,3,20,5,0,0,0,6.0,4.0,90.0,0.7,0,18.8917
+875,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2356,962,120,Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2023-02-20,2015-04-09,410,5.7343532684283725,"['parallel', 'jupyter', 'python']",2023-02-08,112,"['Carreau@quansight-labs', 'blink1073@mongodb', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'ivanov', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'sahil1105', 'takluyver', 'tomoboy@ardoq']",6,10,"['amazonwebservices', 'ardoq', 'mongodb', 'quansight-labs', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@ardoq ', 'Amazon Web Services', 'MongoDB', 'Simula Research Laboratory', 'University of California, Berkeley.']",,2.04,5,5,96,0,0,7,7,5.0,0.0,90.0,0.0,0,41.90857
+755,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,2340,90,26,Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2023-02-21,2022-08-01,29,79.90243902439025,"['deep-learning', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'chatgpt', 'gpt', 'large-language-models']",2023-02-21,21,"['Jeadie@marqo-ai', 'MichalLuck', 'VitusAcabado@marqo.ai', 'aryanagarwal9', 'danyilq', 'jn2clark', 'pandu-k', 'tomhamer@marqo-ai', 'vicilliar', 'wanliAlex']",2,10,"['marqo-ai', 'marqo.ai']","['@marqo-ai', '@marqo-ai ', '@marqo.ai']",,12.75,179,121,7,0,9,16,9,179.0,217.0,90.0,1.2,0,37.85297
+246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2325,84,33,Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2023-02-21,2021-03-01,103,22.510373443983404,[],2022-11-23,1035,"['benjaminp', 'birkenfeld@fzjülich', 'freddrake@keepertech', 'gvanrossum@microsoft', 'jackjansen@centrumvoorwiskundeeninformatica', 'loewis', 'pitrou', 'rhettinger@mutableminds', 'serhiy-storchaka@neu.ro', 'vstinner@redhatofficial']",7,10,"['centrumvoorwiskundeeninformatica', 'fzjülich', 'keepertech', 'microsoft', 'mutableminds', 'neu.ro', 'redhatofficial']","['@RedHatOfficial', '@keepertech ', 'Centrum voor Wiskunde en Informatica', 'FZ Jülich', 'Microsoft', 'Mutable Minds, Inc.', 'Neu.ro']",,3.23,23,9,24,3,3,239,3,21.0,27.0,90.0,1.3,0,46.12774
+947,nlp,https://github.com/microsoft/biogpt,,,,microsoft/biogpt,BioGPT,2305,196,45,Python,,microsoft/biogpt,microsoft,2023-02-21,2022-08-15,27,84.47643979057591,[],2023-02-13,9,"['AH-Merii@silencetherapeutics', 'bbennett80', 'cybersaksham', 'eltociear@bandism', 'katielink@huggingface', 'kurt-biorender', 'microsoftopensource@microsoft', 'renqianluo@microsoft', 'yuta519']",4,10,"['bandism', 'huggingface', 'microsoft', 'silencetherapeutics']","['@bandism ', '@huggingface ', 'Microsoft', 'Silence Therapeutics']",,0.62,56,26,6,0,0,0,0,56.0,93.0,90.0,1.7,0,29.13536
+724,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2285,389,20,Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2023-02-20,2020-11-04,120,19.041666666666668,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'reproducibility', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",2023-02-11,27,"['Adizx12', 'CharlesGaydon', 'amorehead@universityofmissouri', 'ashleve', 'atong01@mila;udem', 'dependabot[bot]', 'elisim', 'eungbean@diml,yonseiuniv.', 'nils-werner', 'yipliu@hunanuniversity']",4,10,"['diml,yonseiuniv.', 'hunanuniversity', 'mila;udem', 'universityofmissouri']","['DIML, Yonsei Univ.', 'Hunan University', 'Mila; UdeM', 'University of Missouri']",,2.88,88,71,28,0,4,4,4,88.0,99.0,90.0,1.1,0,39.74508
+308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2268,417,59,C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2023-02-21,2014-05-02,459,4.9334990677439405,"['cryptography', 'security', 'python']",2023-01-28,134,"['Legrandin', 'akuchling', 'dlitz', 'hugovk@nordsoftware', 'mchlnix@none', 'mitchellrj', 'roughconsensusandrunningcode', 'sebastinas@aitaustrianinstituteoftechnology', 'stefanor@freexian,debian,ubuntu', 'thorsteneb@cisco']",5,10,"['aitaustrianinstituteoftechnology', 'cisco', 'freexian,debian,ubuntu', 'none', 'nordsoftware']","['AIT Austrian Institute of Technology', 'Cisco', 'Freexian, Debian, Ubuntu', 'None', 'Nord Software']",,2.27,94,76,107,1,4,12,4,94.0,120.0,90.0,1.3,0,46.69648
+253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2265,348,40,Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2023-02-21,2020-08-20,130,17.308951965065503,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",2023-02-20,61,"['Anonymous-submission-repo', 'dependabot[bot]', 'gianpd', 'int-chaos', 'jingdong00', 'liususan091219@stevensinstituteoftechnology', 'qingyun-wu@pennsylvaniastateuniversity', 'royninja@alletec', 'skzhang1', 'sonichi@microsoft']",4,10,"['alletec', 'microsoft', 'pennsylvaniastateuniversity', 'stevensinstituteoftechnology']","['Alletec', 'Microsoft', 'Pennsylvania State University', 'Stevens Institute of Technology']",,4.79,121,70,30,0,19,21,19,121.0,187.0,90.0,1.5,0,46.20855
+878,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2233,138,18,Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2023-02-21,2021-11-24,65,34.353846153846156,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'mstl', 'theta', 'automl', 'data-science']",2023-02-21,18,"['FedericoGarza@nixtla', 'JeroenPeterBos', 'MMenchero', 'allcontributors[bot]', 'cchallu', 'goodwanghan', 'jmoralez@nubank', 'kdgutier', 'mergenthaler@nixtla', 'sugatoray@universityofwisconsin-milwaukee']",3,10,"['nixtla', 'nubank', 'universityofwisconsin-milwaukee']","['@Nixtla', '@nubank', 'Nixtla', 'University of Wisconsin - Milwaukee']",,15.83,98,76,15,0,22,20,22,98.0,108.0,90.0,1.1,0,41.46243
+458,ml-dl,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,2232,126,26,Python,https://www.nebuly.com/,nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀,nebuly-ai,2023-02-21,2022-02-12,53,41.664,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference', 'neural-network', 'pypi', 'quantization', 'edge-computing', 'gpu', 'optimization', 'transformers']",2023-02-15,23,"['ZecchinLeonardo', 'arianGh1@kharazmiuniversity', 'aurimgg', 'cyclotomicextension', 'diegofiori@nebuly|epfl', 'eltociear@bandism', 'emilecourthoud@nebuly|ethzurich', 'francis-oss@nebuly-ai|mit', 'nebuly-ai@nebuly-ai', 'valeriosofi@nebuly']",7,10,"['bandism', 'kharazmiuniversity', 'nebuly', 'nebuly-ai', 'nebuly-ai|mit', 'nebuly|epfl', 'nebuly|ethzurich']","['@bandism ', '@nebuly-ai', '@nebuly-ai | MIT', 'Kharazmi University', 'Nebuly', 'Nebuly | EPFL', 'Nebuly | ETH Zurich']",,5.73,88,56,12,0,21,21,21,88.0,91.0,90.0,1.0,0,42.87075
+965,ml-dl,https://github.com/danielegrattarola/spektral,,,,danielegrattarola/spektral,spektral,2231,333,43,Python,https://graphneural.network,spektral: Graph Neural Networks with Keras and Tensorflow 2.,danielegrattarola,2023-02-20,2019-01-17,213,10.432197728790916,"['graph-neural-networks', 'keras', 'python', 'tensorflow', 'tensorflow2', 'graph-deep-learning', 'deep-learning']",2023-02-11,26,"['AlexandrMelnic', 'FilippoMB@uitthearcticuniversityofnorway', 'JackMaguire@universityofnorthcarolinaatchapelhill', 'LeviBorodenko', 'cclauss@christianclauss', 'cgarciae@quansight', 'danielegrattarola', 'djpetti', 'jackd@universityofmelbourne', 'kmader']",5,10,"['christianclauss', 'quansight', 'uitthearcticuniversityofnorway', 'universityofmelbourne', 'universityofnorthcarolinaatchapelhill']","['Christian Clauss', 'Quansight', 'UiT the Arctic University of Norway', 'University of Melbourne', 'University of North Carolina at Chapel Hill']",,1.29,16,6,50,0,2,1,2,16.0,43.0,90.0,2.7,0,39.76477
+540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,2223,169,43,Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2023-02-21,2022-03-28,47,47.012084592145015,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",2022-12-01,7,"['LowinLi', 'bpucla', 'enijkamp', 'jimjag', 'jsoref@garnercorp', 'rooa', 'vlomshakov']",1,10,['garnercorp'],['@GarnerCorp '],,0.83,14,5,11,3,0,0,0,14.0,27.0,90.0,1.9,0,20.49486
+710,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2216,99,29,Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2023-02-21,2018-04-07,254,8.704826038159371,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",2022-08-16,17,"['CrafterKolyan', 'MichaelKarpe@next-gate-tech', 'apurvis', 'def-mycroft', 'devin-petersohn@ponder', 'dhendo@freshrelevance', 'jmcarpenter2@manifoldai', 'openafox', 'tcbegley@facebook', 'toddrme2178']",5,10,"['facebook', 'freshrelevance', 'manifoldai', 'next-gate-tech', 'ponder']","['@facebook', '@manifoldai ', '@next-gate-tech', 'Fresh Relevance', 'Ponder']",,0.38,6,2,59,6,0,17,17,6.0,7.0,90.0,1.2,0,33.20131
+807,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2177,360,85,Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2023-02-21,2018-01-10,267,8.153558052434457,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",2023-02-16,12,"['Anemone95@aarhusuni', 'ankurbhargava87f', 'disenchant', 'gajjar8055', 'harsh-groverfk', 'mohangcsm@myntradesignspvtltd', 'prajal', 'royingantaginting@gdp-admin', 'sagarpo']",3,10,"['aarhusuni', 'gdp-admin', 'myntradesignspvtltd']","['@GDP-ADMIN ', 'AarhusUni', 'Myntra Designs Pvt Ltd']",,0.02,6,0,62,0,0,0,0,6.0,3.0,90.0,0.5,0,27.14899
+617,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2159,321,82,Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2023-02-20,2015-03-15,414,5.209582902447432,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",2023-01-11,123,"['BenoitKnecht', 'atombrella', 'dcermak@suse', 'gtmanfred@autodesk', 'ianw', 'jesselang@spscommerce', 'philpep@lowatt', 'randombenj', 'romainx', 'ssbarnea@redhatansible']",5,10,"['autodesk', 'lowatt', 'redhatansible', 'spscommerce', 'suse']","['@SPSCommerce', '@lowatt', 'Autodesk', 'Red Hat @ansible', 'SUSE']",,0.5,38,20,97,1,4,10,4,38.0,20.0,90.0,0.5,0,41.57031
+871,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,2159,38,24,Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2023-02-20,2022-01-15,57,37.50124069478908,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",2023-01-27,2,"['dkrystki@reloadware', 'siilats@bytelogics']",2,10,"['bytelogics', 'reloadware']","['Reloadware', 'bytelogics']",,0.71,35,26,13,1,0,5,5,35.0,85.0,90.0,2.4,0,27.25389
+867,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2138,41,15,Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2023-02-18,2022-07-27,30,71.26666666666667,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",2023-02-21,10,"['EFord36', 'bbkgh@hamravesh', 'doomedraven', 'dosisod', 'jairhenrique@grupoboticario', 'jdevera@hotjar', 'michaeloliverx@resgroup', 'trag1c', 'yilei']",4,10,"['grupoboticario', 'hamravesh', 'hotjar', 'resgroup']","['@grupoboticario ', '@hamravesh ', '@resgroup', 'Hotjar']",,4.1,86,77,7,0,14,35,14,86.0,41.0,90.0,0.5,0,35.04298
+548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,2135,178,24,Python,https://docs.lightly.ai/self-supervised-learning/,lightly: A python library for self-supervised learning on images.,lightly-ai,2023-02-21,2020-10-13,123,17.337587006960558,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",2023-02-16,24,"['IgorSusmelj@lightly', 'MalteEbner@lightly', 'Ra1Nik', 'busycalibrating', 'guarin', 'ibro45@aimharvard-mgb', 'japrescott', 'michal-lightly', 'philippmwirth', 'shaundaley39']",2,10,"['aimharvard-mgb', 'lightly']","['AIM @ Harvard-MGB', 'Lightly']",,5.48,136,124,29,0,40,34,40,136.0,154.0,90.0,1.1,0,41.57105
+503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2131,916,208,JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2023-02-19,2015-04-22,409,5.210268948655257,[],2023-02-15,36,"['anonymousandrew@google', 'bengalin', 'eengle', 'inazarenko', 'kpreid', 'max99x', 'mdhancher@google', 'michaelfdewitt@google', 'simonff@google', 'tylere@google']",1,10,['google'],"['@Google', '@google ', 'Google', 'Google, Inc.']",,0.0,5,2,95,0,0,32,32,5.0,2.0,90.0,0.4,0,33.87917
+198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2119,259,39,Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2023-02-20,2020-04-29,147,14.414965986394558,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",2023-02-06,35,"['FlorineGreciet', 'Francesco-Marini', 'GAP01', 'MaxGdr@helsing', 'SebastienBidault', 'ThibaudReal', 'ThomasBouche', 'guillaume-vignal@maif', 'mathisbarthere', 'yg79@maif']",2,10,"['helsing', 'maif']","['Helsing', 'MAIF', 'Maif']",,4.6,28,14,34,0,9,9,9,28.0,8.0,90.0,0.3,0,36.36367
+813,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,2118,101,16,Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2023-02-20,2022-03-07,50,42.11931818181818,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql', 'dbt', 'python']",2023-02-17,27,"['cfernhout', 'danthelion@brooklyn-data', 'dlawin', 'erezsh', 'glebmezh@datafold', 'jardayn', 'kylemcnair', 'leoebfolsom', 'pik94@datafold', 'sirupsen@webscaleinc']",3,10,"['brooklyn-data', 'datafold', 'webscaleinc']","['@brooklyn-data', '@datafold ', 'Datafold', 'Webscale Inc']",,14.17,104,61,12,0,16,16,16,104.0,142.0,90.0,1.4,0,41.76554
+222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2115,414,41,Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2023-02-19,2014-01-20,474,4.4593373493975905,"['python', 'dynamodb', 'aws']",2023-02-21,102,"['anandswaminathan@lyft', 'betamoo', 'danielhochman@lyft', 'garrettheel', 'hallie@lyft', 'ikonst@lyft', 'jlafon@openeyescientificsoftware', 'jmphilli', 'jpinner-lyft', 'scode']",2,10,"['lyft', 'openeyescientificsoftware']","['@lyft', '@lyft ', 'Lyft', 'Lyft, Inc.', 'OpenEye Scientific Software']",,0.81,67,47,111,0,11,10,11,67.0,94.0,90.0,1.4,0,44.51654
+749,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,2111,205,26,Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2023-02-20,2022-09-06,24,87.43786982248521,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",2023-02-18,14,"['0x1355', 'Atomic-Germ@exitgardenrecords', 'Niravprajapati1@student', 'charlielito', 'codefaux', 'danielpatrickhug@earth', 'nateraw@huggingface', 'philgzl', 'seriousran@ncsoftaivisionlabgenerationteam', 'thehappydinoa@censys']",6,10,"['censys', 'earth', 'exitgardenrecords', 'huggingface', 'ncsoftaivisionlabgenerationteam', 'student']","['@NCSoft AI Vision Lab Generation Team', '@censys ', '@huggingface', 'Earth', 'Exit Garden Records', 'Student ']",,3.0,46,30,6,0,17,34,17,46.0,139.0,90.0,3.0,0,40.23409
+411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,2089,435,49,Python,,pyyaml: Canonical source repository for PyYAML,yaml,2023-02-21,2011-11-03,589,3.541535480745943,"['python', 'yaml']",2022-09-13,40,"['Thom1729', 'alex', 'cclauss@christianclauss', 'dstufft@datadog', 'ingydotnet@newfolddigital/bluehost', 'jdufresne@pioneervalleybooks', 'nitzmahone@ansible', 'perlpunk@suse', 'peterkmurphy', 'xitology']",6,10,"['ansible', 'christianclauss', 'datadog', 'newfolddigital/bluehost', 'pioneervalleybooks', 'suse']","['@DataDog', '@SUSE', '@ansible', 'Christian Clauss', 'Newfold Digital / Bluehost', 'Pioneer Valley Books']",,0.04,43,20,138,5,0,4,4,43.0,55.0,90.0,1.3,0,38.36483
+860,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2059,537,93,Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2023-02-21,2012-08-05,550,3.74072151570205,"['jupyter', 'jupyter-notebook', 'nbconvert']",2023-01-27,95,"['Carreau@quansight-labs', 'bollwyvl', 'ellisonbg@amazonwebservices', 'krinsman', 'minrk@simularesearchlaboratory', 'mrterry@nextdoor', 'parente@wearethorn', 'pelson', 'pre-commit-ci[bot]', 'rgbkrk@noteable-io']",6,10,"['amazonwebservices', 'nextdoor', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory', 'wearethorn']","['@Noteable-io', '@Quansight-Labs', '@wearethorn ', 'Amazon Web Services', 'Nextdoor', 'Simula Research Laboratory']",,1.25,18,10,128,1,0,0,0,18.0,20.0,90.0,1.1,0,40.43922
+881,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,2010,235,70,Python,,pyflux: Open source time series library for Python,rjt1990,2023-02-20,2016-02-16,366,5.489660554038236,"['statistics', 'time-series']",2018-12-16,6,"['RJT1990', 'TerryJey', 'ThomasHoppe', 'gitter-badger@gitter', 'juanpabloaj', 'tmak@pinseekerinc']",2,10,"['gitter', 'pinseekerinc']","['Gitter', 'PinSeeker Inc']",,0.0,0,0,85,51,0,6,6,0.0,0.0,90.0,0.0,0,15.47289
+452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1978,162,13,Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2023-02-20,2018-11-01,224,8.79669631512071,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",2023-02-20,79,"['NickCrews', 'a-recknagel@auxmoney', 'cosmicBboy@unionai', 'cristianmatache@imperialcollegelondon', 'ferhah', 'gordonhart', 'mastersplinter@bcggamma', 'ralbertazzi@bendingspoons', 'smackesey@elementl', 'the-matt-morris@rsg']",7,10,"['auxmoney', 'bcggamma', 'bendingspoons', 'elementl', 'imperialcollegelondon', 'rsg', 'unionai']","['@unionai', 'BCG Gamma', 'Bending Spoons', 'Elementl', 'Imperial College London', 'RSG, Inc.', 'auxmoney']",,2.21,66,21,52,0,15,14,15,66.0,150.0,90.0,2.3,0,49.08654
+506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,1961,439,22,Python,https://flower.dev,Flower: A Friendly Federated Learning Framework,adap,2023-02-21,2020-02-17,157,12.467756584922798,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence', 'deep-learning', 'machine-learning', 'pytorch', 'scikit-learn', 'tensorflow']",2023-02-20,54,"['CanTuerk', 'adam-narozniak@epfl', 'akhilmathurs', 'charlesbvll@epfl', 'danieljanes@adapgmbh', 'jafermarq', 'mariaboerner1987', 'pedropgusmao', 'sisco0', 'tanertopal@adapgmbh']",2,10,"['adapgmbh', 'epfl']","['Adap GmbH', 'EPFL']",,6.85,199,166,37,0,6,5,6,199.0,65.0,90.0,0.3,0,40.67275
+323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1946,494,104,Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2023-02-21,2012-07-17,553,3.518078512396694,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",2023-02-13,123,"['GadgetSteve', 'Metallicow@self;independant', 'RobinD42', 'cbeytas', 'dougthor42@prounlimited(contractorforgooglequantumai)', 'infinity77', 'kollivier@kosoftworks', 'mesalu', 'swt2c', 'wernerfb']",3,10,"['kosoftworks', 'prounlimited(contractorforgooglequantumai)', 'self;independant']","['KOSoftworks LLC', 'PRO Unlimited (contractor for Google Quantum AI)', 'self; Independant']",,3.35,76,38,129,0,1,2,1,76.0,143.0,90.0,1.9,0,45.67087
+590,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1944,415,40,Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2023-02-20,2012-07-13,553,3.5108359133126936,"['python', 'science', 'units']",2023-02-13,182,"['5igno@imec', 'andrewgsavage', 'bors[bot]', 'clarkgwillison', 'crusaderky', 'dalito@leibniz-institutfürkatalysee.v.(likat)', 'hgrecco', 'jthielen@coloradostateuniversity', 'jules-ch', 'keewis']",3,10,"['coloradostateuniversity', 'imec', 'leibniz-institutfürkatalysee.v.(likat)']","['Colorado State University', 'Leibniz-Institut für Katalyse e.V. (LIKAT)', 'imec']",,2.98,80,35,129,0,0,4,4,80.0,115.0,90.0,1.4,0,47.40676
+353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1935,220,42,Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2023-02-21,2019-02-26,208,9.2964996568291,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",2023-02-20,18,"['MarcoGorelli@quansight', 'RobertSamoilescu', 'adriangonz@seldonio', 'alexcoca@universityofcambridge', 'arnaudvl', 'ascillitoe@datascienceseldonio', 'dependabot[bot]', 'gipster', 'jklaise', 'mauicv']",4,10,"['datascienceseldonio', 'quansight', 'seldonio', 'universityofcambridge']","['@SeldonIO ', 'Data Science @SeldonIO', 'Quansight', 'University of Cambridge']",,3.69,64,46,49,0,4,7,4,64.0,108.0,90.0,1.7,0,40.88781
+233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1927,578,98,Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2023-02-21,2016-12-27,321,6.000444839857651,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",2022-12-16,80,"['NIC619', 'carver@ethereumfoundation', 'cburgdorf', 'fselmo@ethereum', 'gsalgado', 'hwwhww', 'jannikluhn', 'mhchia', 'pipermerriam@ethereumfoundation', 'veox']",2,10,"['ethereum', 'ethereumfoundation']","['@ethereum', 'Ethereum Foundation']",,0.58,4,1,75,2,0,17,17,4.0,0.0,90.0,0.0,0,32.98648
+441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1882,507,152,Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2023-02-19,2013-11-04,485,3.878127759788048,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",2023-02-13,142,"['ColinTalbert', 'brendan-ward@astutespruce', 'geowurster', 'groutr@lynkertechnologies', 'j08lue@developmentseed', 'jdmcbr', 'perrygeo', 'sgillies@planetlabs', 'snowman2@corteva', 'vincentsarago@developmentseed']",5,10,"['astutespruce', 'corteva', 'developmentseed', 'lynkertechnologies', 'planetlabs']","['@corteva ', '@developmentseed ', '@planetlabs', 'Astute Spruce, LLC', 'Development Seed', 'Lynker Technologies']",,3.77,184,116,113,0,11,18,11,184.0,323.0,90.0,1.8,0,52.4779
+829,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1877,167,72,Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2023-02-21,2022-10-13,18,99.53787878787878,[],2023-02-21,17,"['RELNO@cityscopemitmedialab', 'Yorko@relx', 'darcula1993', 'dbtreasure', 'dhakalnirajan@drcfsorg', 'eltociear@bandism', 'jmelsbach@universityofcologne', 'johnowhitaker', 'lewtun@huggingface', 'xl0']",6,10,"['bandism', 'cityscopemitmedialab', 'drcfsorg', 'huggingface', 'relx', 'universityofcologne']","['@CityScope @mitmedialab ', '@bandism ', '@drcfsorg', '@huggingface', 'RELX', 'University of Cologne']",,2.88,55,47,4,0,0,0,0,55.0,69.0,90.0,1.3,0,32.77661
+856,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1876,129,23,Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2023-02-21,2012-06-26,556,3.3732340097611098,[],2023-02-17,24,"['andyljones@anthropic', 'bmerry', 'dannysepler@propelinc', 'embray', 'jiffyclub@populus-ai', 'matthewfeickert@universityofwisconsin-madison', 'nschloe@mondaytech', 'takluyver', 'thomasjm@codedownio', 'yjmade@nvidia']",7,10,"['anthropic', 'codedownio', 'mondaytech', 'nvidia', 'populus-ai', 'propelinc', 'universityofwisconsin-madison']","['@codedownio ', '@populus-ai ', '@propelinc', 'Anthropic', 'Monday Tech', 'NVIDIA', 'University of Wisconsin-Madison']",,0.08,7,2,130,0,0,2,2,7.0,16.0,90.0,2.3,0,40.21195
+713,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1869,574,45,Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2023-02-20,2016-02-20,365,5.112543962485346,[],2022-10-22,17,"['Bhomik', 'MarvinTeichmann@universityofcambridge', 'adityassrana', 'alexander-kirillov@facebookairesearch', 'jmtatsch', 'lucasb-eyer@googlebrainzürich', 'luofan18', 'mcordts@daimlerag', 'ncgaehle', 'nicolasj92']",4,10,"['daimlerag', 'facebookairesearch', 'googlebrainzürich', 'universityofcambridge']","['@google Brain Zürich', 'Daimler AG', 'Facebook AI Research', 'University of Cambridge']",,0.02,13,6,85,4,0,0,0,13.0,19.0,90.0,1.5,0,29.94821
+823,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1859,155,22,Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2023-02-20,2013-06-28,503,3.6905842314237094,[],2023-02-20,40,"['Peque', 'anivegesana', 'hugovk@nordsoftware', 'jasonmyers@klaviyo', 'kernc', 'leogama@amphybio-universityofsãopaulo,medicalschool', 'matsjoyce', 'mindw', 'mmckerns@uqfoundation', 'sekikn@nttdata']",5,10,"['amphybio-universityofsãopaulo,medicalschool', 'klaviyo', 'nordsoftware', 'nttdata', 'uqfoundation']","['@amphybio - University of São Paulo, Medical School', '@uqfoundation ', 'Klaviyo', 'NTT DATA', 'Nord Software']",,1.96,26,13,118,0,3,2,3,26.0,43.0,90.0,1.7,0,43.40902
+581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1858,225,31,Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2023-02-21,2021-02-22,104,17.816438356164383,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",2023-02-13,35,"['JiahaoYao@universityofcalifornia,berkeley', 'PKUFlyingPig@pekinguniversity', 'ZYHowell@carnegiemellonuniversity', 'comaniac@amazonwebservices(aws)', 'ddxxdd-code', 'jiaodong@anyscale', 'merrymercy@ucberkeley', 'yf225', 'zhisbug', 'zhuohan123@ucberkeley']",6,10,"['amazonwebservices(aws)', 'anyscale', 'carnegiemellonuniversity', 'pekinguniversity', 'ucberkeley', 'universityofcalifornia,berkeley']","['Amazon Web Services (@aws)', 'Anyscale', 'Carnegie Mellon University', 'Peking University', 'UC Berkeley', 'University of California, Berkeley']",,6.4,130,98,24,0,12,6,12,128.0,195.0,90.0,1.5,0,45.75762
+201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1835,338,46,Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2023-02-21,2019-07-01,190,9.643393393393394,[],2023-02-07,39,"['KOLANICH@kolanich', 'MartinThoma', 'anakin87@01s', 'davidkong0987', 'dimitern@http://develated.com/', 'pravarag', 'tksumanth1994', 'vaibhavmule@polymerize', 'vinayak-mehta', 'yatintaluja@atlanhq']",5,10,"['01s', 'atlanhq', 'http://develated.com/', 'kolanich', 'polymerize']","['01S', '@Polymerize ', '@atlanhq ', 'KOLANICH inc.', 'http://develated.com/']",,0.08,26,5,44,0,0,7,7,26.0,47.0,90.0,1.8,0,40.04461
+115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1828,490,55,Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2023-02-18,2012-09-21,543,3.3620599054125067,[],2023-02-20,191,"['ajelenak@thehdfgroup', 'andrewcollette@enthought', 'aragilar@departmentofphysicsandastronomy,macquarieuniversity', 'ddale@cornelluniversity', 'dota17', 'kif@esrf', 'scopatz', 't20100@esrf', 'tacaswell@brookhavennationallab', 'takluyver']",6,10,"['brookhavennationallab', 'cornelluniversity', 'departmentofphysicsandastronomy,macquarieuniversity', 'enthought', 'esrf', 'thehdfgroup']","['Brookhaven National Lab', 'Cornell University', 'Department of Physics and Astronomy, Macquarie University', 'ESRF', 'Enthought', 'The HDF Group']",,4.08,110,83,127,0,2,4,2,110.0,340.0,90.0,3.1,0,52.86394
+46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1824,235,52,TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2023-02-20,2016-12-21,322,5.6645962732919255,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",2023-02-17,45,"['GenevieveBuckley@monashuniversity', 'OlehKSS', 'agoose77', 'chrisjsewell@imperialcollegelondon', 'cvisl@surf', 'glyg@france-bio-imaging-data', 'jeammimi', 'jtpio@quantstack', 'maartenbreddels@maartenbreddels', 'mgeier']",6,10,"['france-bio-imaging-data', 'imperialcollegelondon', 'maartenbreddels', 'monashuniversity', 'quantstack', 'surf']","['@France-Bio-Imaging-Data ', '@QuantStack', '@maartenbreddels', 'Imperial College London', 'Monash University', 'SURF']",,0.27,17,8,75,0,0,8,8,17.0,25.0,90.0,1.5,0,42.47792
+295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1819,173,45,Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2023-02-20,2016-10-14,331,5.4836347975882855,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",2022-10-18,47,"['althonos@embl,zellerlab', 'dargueta', 'eelkevdbos@vandenbossoftwaredevelopment', 'geoffjukes', 'lurch@raspberrypi', 'muffl0n', 'odgalvin', 'tfeldmann@mercatronicsgmbh', 'willmcgugan@textualize', 'zmej-serow@kodland.org']",6,10,"['embl,zellerlab', 'kodland.org', 'mercatronicsgmbh', 'raspberrypi', 'textualize', 'vandenbossoftwaredevelopment']","['@raspberrypi ', 'EMBL, @zellerlab', 'Textualize', 'Van den Bos Software Development', 'kodland.org', 'mercatronics GmbH']",,1.44,12,2,77,4,1,8,1,12.0,26.0,90.0,2.2,0,37.20255
+648,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1817,209,45,Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2023-02-21,2013-05-29,508,3.576771653543307,[],2023-01-12,27,"['GrahamDumpleton', 'a-feld', 'agriffis@scampersand', 'althonos@embl,zellerlab', 'eire1130', 'hugovk@nordsoftware', 'jouve', 'thorwhalen@analogdevices', 'varunagrawal@georgiatech', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",6,10,"['analogdevices', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'embl,zellerlab', 'georgiatech', 'nordsoftware', 'scampersand']","['@scampersand', 'Analog Devices', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'EMBL, @zellerlab', 'Georgia Tech', 'Nord Software']",,1.02,17,9,118,1,0,5,5,17.0,39.0,90.0,2.3,0,41.82351
+63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1813,758,89,Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2023-02-20,2014-09-19,439,4.1231319038336585,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",2023-02-10,121,"['Corvince', 'EwoutH', 'TaylorMutch@unitytechnologies', 'Tortar@metro-polis', 'cauemello', 'djmitche@google', 'dmasad', 'jackiekazil', 'rht', 'tpike3']",3,10,"['google', 'metro-polis', 'unitytechnologies']","['Google', 'Metro-Polis ', 'Unity Technologies']",,5.58,70,42,103,1,1,2,1,70.0,190.0,90.0,2.7,0,45.30406
+310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1805,187,47,Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2023-02-21,2015-06-02,403,4.477321048901488,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",2022-12-23,31,"['DataBoyTX', 'cwharris@nvidia', 'juliaxdmon', 'lmeyerov@graphistry', 'lsb', 'pradkrish', 'silkspace@graphistrystayopen,pythian,tehama,cybermedicine,beatsmusic,quid,idlegames', 'szhorvat', 'thibaudh', 'trxcllnt@nvidia,inc']",4,10,"['graphistry', 'graphistrystayopen,pythian,tehama,cybermedicine,beatsmusic,quid,idlegames', 'nvidia', 'nvidia,inc']","['@graphistry @stayopen, @pythian, @tehama, @cybermedicine, @beatsMusic, @quid, @idlegames', 'Graphistry', 'NVIDIA, Inc', 'Nvidia']",,1.48,34,13,94,2,0,22,22,34.0,32.0,90.0,0.9,0,40.09107
+964,gis,https://github.com/azavea/raster-vision,,,,azavea/raster-vision,raster-vision,1797,350,83,Python,https://docs.rastervision.io,raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.,azavea,2023-02-20,2017-02-02,315,5.689280868385346,"['deep-learning', 'computer-vision', 'remote-sensing', 'geospatial', 'object-detection', 'semantic-segmentation', 'classification', 'machine-learning', 'pytorch']",2023-02-21,30,"['AdeelH@azavea', 'citerana', 'dependabot[bot]', 'jamesmcclain', 'jmorrison1847@umbra', 'jpolchlo', 'lewfish@azavea', 'lmbak@eyetelligence', 'lossyrob@microsoft', 'simonkassel@azavea']",4,10,"['azavea', 'eyetelligence', 'microsoft', 'umbra']","['@azavea ', '@microsoft', 'Azavea', 'Eyetelligence', 'Umbra']",,8.29,154,124,74,0,3,3,3,154.0,129.0,90.0,0.8,0,43.55576
+601,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1793,85,39,Python,,felicette: Satellite imagery for dummies.,plant99,2023-02-14,2020-07-12,136,13.14240837696335,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",2021-09-08,6,"['AlexanderDavid@clemsonuniversity', 'dependabot[bot]', 'epogrebnyak@financeandeconomicsdepartment,mgimo-odintsovo', 'mmatongo@tempulsenoirlinuxmulindisourcehaus', 'plant99']",3,10,"['clemsonuniversity', 'financeandeconomicsdepartment,mgimo-odintsovo', 'tempulsenoirlinuxmulindisourcehaus']","['@tempulse @noirlinux @mulindi @sourcehaus', 'Clemson University', 'Finance and Economics Department, MGIMO-Odintsovo']",,0.0,0,0,32,18,0,2,2,0.0,0.0,90.0,0.0,0,15.49221
+32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1788,153,42,Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2023-02-19,2010-07-09,658,2.7143786597267403,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",2023-02-03,28,"['DimitriPapadopoulos@cea', 'J535D165@utrechtuniversity', 'PeterScott@cue', 'dependabot[bot]', 'diego-plan9@ibmresearch', 'dparrol', 'jamesturk@universityofchicago', 'mikejs@sunlightlabs', 'nchammas', 'ofek@datadog']",7,10,"['cea', 'cue', 'datadog', 'ibmresearch', 'sunlightlabs', 'universityofchicago', 'utrechtuniversity']","['@IBMResearch ', '@datadog', 'CEA', 'Cue', 'Sunlight Labs', 'University of Chicago', 'Utrecht University']",,0.35,4,4,154,1,0,2,2,4.0,2.0,90.0,0.5,0,35.98416
+843,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1777,936,135,Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2023-02-20,2017-11-14,275,6.458463136033229,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",2023-02-20,333,"['ChoiByungWook@amazon.com', 'ajaykarpur', 'chuyang-deng', 'icywang86rui', 'knakad', 'laurenyu', 'metrizable@google', 'mvsusp', 'nadiaya@amazon.com', 'yangaws']",2,10,"['amazon.com', 'google']","['Amazon.com', 'Google']",,9.79,316,180,64,0,76,92,76,317.0,3351.0,90.0,10.6,0,59.58423
+732,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1771,1542,17,Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2023-02-21,2020-06-24,139,12.741007194244604,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",2022-02-07,6,"['BHUVAN-RJ', 'Ehsanahmadi1400@readytocollaborateonaiprojects', 'amanchadha@amazon/stanforduniversity', 'lengocloi1805', 'zen7vik']",2,10,"['amazon/stanforduniversity', 'readytocollaborateonaiprojects']","['Amazon Inc. / Stanford University', 'Ready to collaborate on AI projects']",,0.0,0,0,32,13,0,0,0,0.0,0.0,90.0,0.0,0,12.86912
+297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1765,240,23,Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2023-02-21,2017-05-14,301,5.855450236966824,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",2023-02-12,53,"['cngkaygusuz@google', 'djpohly', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'mattcarmody', 'maxfischer2781', 'mcepl@suse', 'multimeric', 'ptmcg', 'sirosen']",4,10,"['google', 'nordsoftware', 'pioneervalleybooks', 'suse']","['Google', 'Nord Software', 'Pioneer Valley Books', 'SUSE']",,2.56,17,7,70,0,2,9,2,17.0,25.0,90.0,1.5,0,40.8162
+543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1760,175,19,Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2023-02-21,2018-11-27,221,7.958656330749354,"['sqlalchemy', 'sql', 'python']",2023-02-16,158,"['AKamyshnikova@mirantis', 'BryceLohr', 'CaselIT', 'bbinet@helioslite', 'dahlia@planetarium', 'dtheodor', 'exhuma', 'gordthompson@self-employed', 'marcinkuzminski@rhodecode', 'zzzeek@redhat']",6,10,"['helioslite', 'mirantis', 'planetarium', 'redhat', 'rhodecode', 'self-employed']","['@Mirantis', '@planetarium ', 'HeliosLite', 'Red Hat', 'RhodeCode Inc.', 'self-employed']",,1.5,42,27,52,0,8,26,8,42.0,111.0,90.0,2.6,0,49.1058
+9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1760,160,60,Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2023-02-15,2016-09-27,334,5.267208208636169,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",2022-02-12,21,"['KirstensGitHub', 'alysivji', 'andrewheusser@akiliinteractive', 'chaseWilliams@together', 'jeremymanning@dartmouthcollege', 'joefink2896', 'lmcinnes@tutteinstituteformathematicsandcomputing', 'paxtonfitzpatrick@contextlabcosanlab', 'rarredon', 'swaroopgj@vicariousai']",6,10,"['akiliinteractive', 'contextlabcosanlab', 'dartmouthcollege', 'together', 'tutteinstituteformathematicsandcomputing', 'vicariousai']","['@ContextLab @cosanlab', 'Akili Interactive', 'Dartmouth College', 'Together', 'Tutte Institute for Mathematics and Computing', 'Vicarious AI']",,0.0,1,0,78,12,0,3,3,1.0,0.0,90.0,0.0,0,25.46581
+25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1755,110,24,Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2023-02-21,2018-06-27,243,7.222222222222222,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",2022-12-05,23,"['Conchylicultor@google', 'adarob@google', 'cghawthorne', 'dhr', 'ericjang', 'gmrukwa@netguru', 'jaingaurav@google', 'kbanoop@google', 'sguada@google', 'yilei']",2,10,"['google', 'netguru']","['@google', 'Google', 'Netguru']",,0.12,5,1,57,3,0,0,0,5.0,1.0,90.0,0.2,0,23.4123
+806,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1752,293,70,Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2023-02-21,2020-01-09,162,10.757894736842106,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",2023-02-19,140,"['SteadBytes', 'arajkumar@timescale', 'avilaton', 'awiddersheim', 'calvin620707@kloudless', 'frol@q-bit', 'j5awry@canonical', 'noirbizarre@apihackers', 'plowman@parkade', 'ziirish']",6,10,"['apihackers', 'canonical', 'kloudless', 'parkade', 'q-bit', 'timescale']","['@Timescale', '@apihackers ', '@kloudless', 'Canonical', 'Parkade', 'Q-bit']",,0.73,49,19,38,0,3,4,3,49.0,79.0,90.0,1.6,0,44.43811
+825,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interviews,1745,352,49,Jupyter Notebook,,machine-learning-interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2023-02-21,2021-01-31,107,16.243351063829788,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",2023-02-20,6,"['Anirudh257', 'alirezadir@meta', 'aroraayush@sdeliveramp', 'erjanmx', 'jthaller@bnl-ml-group', 'mehdizade']",3,10,"['bnl-ml-group', 'meta', 'sdeliveramp']","['@BNL-ML-Group', 'Meta', 'SDE @ Liveramp']",,0.6,1,0,25,0,0,0,0,1.0,0.0,90.0,0.0,0,21.44873
+302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1723,173,40,Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2023-02-20,2014-04-02,464,3.7133620689655173,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",2023-02-20,56,"['CarliJoy', 'FlorianWilhelm@inovex', 'HolgerPeters', 'QuLogic', 'abravalheri@universityofbristol', 'cpaulik@vandersat', 'jayvdb@franklin-ai', 'pre-commit-ci[bot]', 'smartsammler@karlsruheinstituteoftechnology', 'willu47@kth']",6,10,"['franklin-ai', 'inovex', 'karlsruheinstituteoftechnology', 'kth', 'universityofbristol', 'vandersat']","['@franklin-ai', '@inovex', '@vandersat ', 'KTH', 'Karlsruhe Institute of Technology', 'University of Bristol']",,2.83,29,27,108,0,8,22,8,29.0,44.0,90.0,1.5,0,46.97122
+767,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1718,517,53,Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2023-02-21,2019-03-21,204,8.386331938633194,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",2022-04-24,7,"['Akay7', 'ScottMcCormack', 'anancds@huawei', 'dependabot[bot]', 'eumiro', 'kbaikov', 'ramalho@thoughtworksthoughtworksinc']",2,10,"['huawei', 'thoughtworksthoughtworksinc']","['@thoughtworks @ThoughtWorksInc ', 'huawei']",,0.06,6,0,48,10,0,0,0,6.0,1.0,90.0,0.2,0,17.01612
+365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1715,63,11,Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2023-02-21,2021-11-17,66,25.984848484848484,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",2023-02-07,4,"['dependabot[bot]', 'github-actions[bot]', 'ousou@iprally', 'rentruewang@collegeofcomputing,georgiatech']",2,10,"['collegeofcomputing,georgiatech', 'iprally']","['@iprally ', 'College of Computing, Georgia Tech']",,0.5,1,1,15,0,0,2,2,1.0,0.0,90.0,0.0,0,20.24635
+699,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1702,105,19,Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2023-02-21,2016-02-03,368,4.625,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",2022-02-20,24,"['AbhinavOmprakash', 'Cologler', 'elistevens@zoox', 'grantjenks', 'i404788', 'jugmac00@canonical', 'maxking', 'raratiru', 'rkubik', 'tamirOK']",2,10,"['canonical', 'zoox']","['@canonical', 'Zoox']",,0.0,10,6,86,12,0,12,12,10.0,20.0,90.0,2.0,0,31.18506
+416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1686,349,57,Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2023-02-21,2015-04-09,410,4.103616133518776,[],2023-02-15,39,"['OliRafa', 'betolink', 'bmabey', 'cemoody@gumtap', 'cpsievert@rstudio', 'janrygl@rndr.janrygl', 'mattilyra@zalandose', 'msusol@google', 'paul-english', 'yxtay']",5,10,"['google', 'gumtap', 'rndr.janrygl', 'rstudio', 'zalandose']","['@gumtap ', '@rstudio', 'Google', 'RNDr. Jan Rygl', 'Zalando SE']",,0.29,37,33,96,0,1,3,1,37.0,32.0,90.0,0.9,0,39.54568
+383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1679,194,36,Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2023-02-21,2019-12-29,164,10.211120764552563,[],2022-08-09,9,"['BPCZ', 'cdpierse@quantcopy', 'cuuupid', 'kaushikb11@lightning-ai', 'leetfin@arisiainc', 'minimaxir@buzzfeed', 'reducibly', 'tientr']",4,10,"['arisiainc', 'buzzfeed', 'lightning-ai', 'quantcopy']","['@ArisiaInc', '@Lightning-AI', '@buzzfeed ', '@quantcopy']",,0.1,16,3,38,7,1,4,1,16.0,19.0,90.0,1.2,0,25.80243
+217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1672,92,37,Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2023-02-20,2021-04-27,95,17.573573573573572,[],2022-08-31,8,"['KaixuYang@linkedin', 'Reza1317', 'al-bert', 'dromare@pepsico', 'martinmenchon@bayer', 'njusu@linkedin']",3,10,"['bayer', 'linkedin', 'pepsico']","['Bayer', 'LinkedIn', 'PepsiCo']",,0.08,9,3,22,6,1,2,1,9.0,18.0,90.0,2.0,0,24.36706
+795,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1669,166,27,Python,https://starliteproject.dev,"starlite: Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs",starlite-api,2023-02-20,2021-12-06,63,26.372460496613996,"['python', 'api', 'rest', 'pydantic', 'asgi', 'openapi', 'redoc', 'starlite', 'starlite-api', 'swagger', 'starlite-framework']",2023-02-21,89,"['Goldziher@safehousetechnologies', 'allcontributors[bot]', 'ashwinvin', 'cofin', 'dkress59@alexhealthcaregmbh', 'jtraub', 'peterschutt', 'provinzkraut', 'seladb', 'yudjinn@vestrasoftware']",3,10,"['alexhealthcaregmbh', 'safehousetechnologies', 'vestrasoftware']","['SafeHouse Technologies', 'Vestra Software, LLC', 'alex healthcare GmbH']",,17.92,385,356,15,0,102,109,102,385.0,786.0,90.0,2.0,0,49.75725
+256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1669,539,75,Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2023-02-21,2017-12-16,270,6.168426610348469,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",2023-02-16,105,"['Dynamikey', 'MarechJ', 'PandaXcentric', 'abashinfection', 'bmoscon', 'dependabot[bot]', 'evil-maid', 'olibre', 'peedrr', 'vdbelt']",0,10,[],[],,2.23,20,12,63,0,5,14,5,20.0,17.0,90.0,0.8,0,34.64775
+195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1667,266,19,Python,https://pettingzoo.farama.org,"PettingZoo: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities",pettingzoo-team,2023-02-21,2020-01-20,161,10.33569530558016,[],2023-02-20,81,"['AnanthHari', 'Kyle-Sang', 'MarioJayakumar@morganstanley', 'RyanNavillus', 'WillDudley', 'benblack769', 'jjshoots', 'jkterry1', 'lssr', 'rodrigodelazcano']",1,10,['morganstanley'],['Morgan Stanley'],,7.71,27,12,38,0,12,11,12,27.0,24.0,90.0,0.9,0,39.62154
+424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1664,146,27,Python,,ipdb: Integration of IPython pdb,gotcha,2023-02-20,2011-01-15,631,2.63469803211943,"['python', 'ipython', 'debugger']",2022-12-13,54,"['MrMino@nokia', 'PiDelport', 'Psycojoker', 'alanbernstein@pilosa', ""alexandrebarbaruiva@let'sdelivery"", 'andreagrandi@laterpay', 'dimasad@universidadefederaldeminasgerais', 'gnebehay@locatee', 'gotcha@bubblenet', 'takluyver']",7,10,"['bubblenet', 'laterpay', ""let'sdelivery"", 'locatee', 'nokia', 'pilosa', 'universidadefederaldeminasgerais']","['@laterpay', '@pilosa ', 'BubbleNet', ""Let's Delivery"", 'Locatee', 'Nokia', 'Universidade Federal de Minas Gerais']",,0.25,24,15,147,2,0,3,3,24.0,39.0,90.0,1.6,0,41.3888
+922,profiling,https://github.com/pyutils/line_profiler,,,,pyutils/line_profiler,line_profiler,1655,96,16,Cython,,line_profiler: Line-by-line profiling for Python,pyutils,2023-02-21,2019-12-10,167,9.901709401709402,[],2022-12-09,38,"['Erotemic@kitware', 'Hanaasagi', 'Nodd@onera', 'Theelx', 'artemisart', 'caethan', 'dependabot[bot]', 'kmike@zytedata,scrapinghub', 'mforbes@washingtonstateuniversity', 'rkern@enthought']",5,10,"['enthought', 'kitware', 'onera', 'washingtonstateuniversity', 'zytedata,scrapinghub']","['@Kitware', '@enthought ', '@zytedata, @ScrapingHub', 'ONERA', 'Washington State University']",,1.48,16,6,39,2,5,6,5,16.0,43.0,90.0,2.7,0,38.86244
+330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1645,485,84,Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2023-02-19,2017-03-07,311,5.286960514233241,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",2019-10-02,7,"['Franck-Dernoncourt', 'Gregory-Howard', 'JohnGiorgi@universityoftoronto', 'jennyjylee', 'toltoxgh', 'tompollard@mit']",2,10,"['mit', 'universityoftoronto']","['MIT', 'University of Toronto']",,0.0,1,1,73,41,0,0,0,1.0,1.0,90.0,1.0,0,16.4226
+436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1639,150,19,Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2023-02-21,2021-04-28,95,17.25263157894737,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",2023-02-21,39,"['davidberenstein1957@argilla-io', 'dcfidalgo@maxplanckcomputing&datafacility', 'dependabot[bot]', 'dvsrepo@argilla.io', 'frascuchon@recognai', 'ignacioct@aarhusuniversity,vestas', 'keithCuniah@argilla.io', 'leireropl', 'leiyre', 'tomaarsen@argilla']",6,10,"['aarhusuniversity,vestas', 'argilla', 'argilla-io', 'argilla.io', 'maxplanckcomputing&datafacility', 'recognai']","['@argilla-io ', 'Aarhus University, Vestas', 'Argilla', 'Argilla.io', 'Max Planck Computing & Data Facility', 'Recognai', 'argilla.io']",,10.23,533,343,22,0,22,49,22,533.0,575.0,90.0,1.1,0,48.66356
+768,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1636,202,17,Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2023-02-21,2019-11-26,169,9.672297297297296,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",2023-02-15,41,"['GFabien', 'JulianKlug', 'allcontributors[bot]', 'dmus', 'dvolgyes', 'efirdc', 'fepegar@microsoftuclkcl-bmeis', 'justusschock@lightning-ai', 'mattwarkentin@universityofcalgary', 'pre-commit-ci[bot]']",3,10,"['lightning-ai', 'microsoftuclkcl-bmeis', 'universityofcalgary']","['@Lightning-AI', '@microsoft @UCL @KCL-BMEIS', 'University of Calgary']",,2.44,34,21,39,0,0,79,79,34.0,56.0,90.0,1.6,0,42.80703
+779,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1627,233,54,Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2023-02-16,2019-07-17,188,8.654255319148936,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",2022-08-31,37,"['PhilipMay@telekom', 'Timoeller@deepset', 'bogdankostic@deepset-ai', 'brandenchan', 'ftesser', 'johann-petrak@sheffieldnlp,gatenlp,ofai', 'julian-risch@deepset', 'kolk', 'tanaysoni', 'tholor@deepset']",4,10,"['deepset', 'deepset-ai', 'sheffieldnlp,gatenlp,ofai', 'telekom']","['@deepset-ai', '@sheffieldnlp, @GateNLP, @OFAI', '@telekom', 'deepset']",,0.04,5,3,44,6,0,7,7,5.0,6.0,90.0,1.2,0,31.82847
+799,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1618,99,25,Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2023-02-21,2017-11-10,275,5.86839378238342,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",2023-02-12,84,"['andrewshadura@collabora', 'arminweigl', 'arusahni@materializeinc', 'briancappello', 'laggardkernel@none', 'pgjones', 'potomak', 'pszpetkowski@pkobp', 'sanderfoobar', 'wwwjfy@grab']",5,10,"['collabora', 'grab', 'materializeinc', 'none', 'pkobp']","['@Grab', '@MaterializeInc ', 'Collabora', 'None', 'PKO BP']",,2.0,15,11,64,0,0,10,10,15.0,13.0,90.0,0.9,0,43.80907
+683,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1618,91,31,Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2023-02-20,2022-05-03,42,38.39322033898305,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",2023-02-10,11,"['cclauss@christianclauss', 'dohertyguirand', 'drubinstein@spotify', 'gudgud96@bandlab', 'johngao2@spotify', 'jvbalen', 'michaelhball@merantix', 'perploug@spotify', 'rabitt']",4,10,"['bandlab', 'christianclauss', 'merantix', 'spotify']","['@bandlab', '@merantix ', '@spotify', 'Christian Clauss', 'Spotify']",,0.79,21,9,10,0,0,0,0,21.0,7.0,90.0,0.3,0,26.47297
+509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1611,600,58,Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2023-02-20,2018-11-26,221,7.280180761781795,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",2022-12-14,200,"['Squadrick@thoughtspot', 'WindQAQ@googlers', 'autoih', 'bhack', 'facaiy', 'fsx950223@amd', 'gabrieldemarmiesse@preligens', 'guillaumekln@systran', 'qlzh727@google', 'seanpmorgan@aws']",7,10,"['amd', 'aws', 'google', 'googlers', 'preligens', 'systran', 'thoughtspot']","['@Aws', '@SYSTRAN', '@googlers ', '@thoughtspot', 'AMD', 'Google', 'Preligens']",,0.9,42,18,52,2,4,8,4,42.0,70.0,90.0,1.7,0,44.70853
+205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1610,123,33,Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2023-02-21,2019-04-24,200,8.05,"['python', 'visualization', 'debugger']",2021-11-13,3,"['alexmojaki', 'lvelvee']",0,10,[],[],,0.0,1,0,47,16,0,0,0,1.0,0.0,90.0,0.0,0,6.85468
+377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1605,116,21,Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2023-02-20,2020-11-07,119,13.422939068100359,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",2022-01-18,10,"['Haziqa-coder', 'JoaoLages@outsystems', 'SSamDav@outsystems', 'chiragjn@truefoundry', 'jalammar@cohere-ai', 'joaonadkarni', 'nostalgebraist', 'sugatoray@universityofwisconsin-milwaukee', 'thomas-chong@hkust']",5,10,"['cohere-ai', 'hkust', 'outsystems', 'truefoundry', 'universityofwisconsin-milwaukee']","['@cohere-ai ', '@truefoundry ', 'HKUST', 'OutSystems', 'Outsystems', 'University of Wisconsin - Milwaukee']",,0.0,3,1,28,13,0,5,5,3.0,2.0,90.0,0.7,0,24.08712
+597,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1602,120,33,Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2023-02-21,2020-01-07,163,9.819614711033275,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",2023-01-29,18,"['Ariel77', 'FreeRealEstate221@uber', 'GavinSteiningerUber', 'edwinnglabs@uber', 'pochoi@ucdavis', 'ppstacy', 'steveyang90', 'szmark001@google', 'vincewu51@uber', 'wangzhishi']",3,10,"['google', 'uber', 'ucdavis']","['@Google', 'UC Davis', 'Uber']",,1.56,20,12,38,1,7,8,7,20.0,18.0,90.0,0.9,0,34.13204
+263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1600,2141,148,Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2023-02-20,2013-03-22,517,3.0905077262693155,[],2023-01-29,40,"['QBatista@mit', 'Smit-create', 'cc7768@umaprotocol', 'davidrpugh@kingabdullahuniversityofscienceandtechnology', 'jstac@australiannationaluniversity', 'mmcky', 'oyamad@universityoftokyo', 'rht', 'sglyon@valorumdata', 'shizejin']",6,10,"['australiannationaluniversity', 'kingabdullahuniversityofscienceandtechnology', 'mit', 'umaprotocol', 'universityoftokyo', 'valorumdata']","['@UMAprotocol', 'Australian National University', 'King Abdullah University of Science and Technology', 'MIT', 'University of Tokyo', 'Valorum Data']",,1.94,58,40,121,1,2,4,2,58.0,183.0,90.0,3.2,0,45.13758
+876,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1594,599,30,Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2023-02-21,2021-12-19,61,25.948837209302326,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",2023-02-02,11,"['SalMireles', 'asrjy@zodhya-git', 'capac', 'ericgarza70', 'haydenliu', 'mbrukman@google', 'naiborhujosua', 'paw-lu', 'rasbt@lightning-ai,universityofwisconsin-madison', 'rnckp']",3,10,"['google', 'lightning-ai,universityofwisconsin-madison', 'zodhya-git']","['@Google', '@Lightning-AI , University of Wisconsin-Madison', '@zodhya-git ']",,1.73,16,7,14,1,1,2,1,16.0,14.0,90.0,0.9,0,27.67259
+299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1594,103,27,Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2023-02-20,2010-04-08,671,2.3725281735062724,[],2022-11-16,25,"['Abdur-rahmaanJ@compileralchemy', 'Amper@victoriametrics', 'Briaoeuidhtns', 'JulienPalard', 'brentp@universityofutah', 'dalexander', 'j450h1@microsoft', 'jerabaul29', 'nykh@sumologic', 'righthandabacus']",5,10,"['compileralchemy', 'microsoft', 'sumologic', 'universityofutah', 'victoriametrics']","['@VictoriaMetrics', '@compileralchemy ', 'Microsoft', 'Sumo Logic', 'University of Utah']",,0.29,4,1,157,3,1,0,1,4.0,2.0,90.0,0.5,0,31.13677
+596,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1582,267,43,Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2023-02-21,2018-06-15,244,6.464681844716871,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",2023-02-03,48,"['Ivan-Dimitrov', 'WeichenXu123@databricks', 'abditag2@uber', 'chongxiaoc@uber', 'liangz1@databricks', 'megaserg', 'praateekmahajan@iterable', 'rgruener@netflix', 'selitvin', 'tgaddair@uber']",4,10,"['databricks', 'iterable', 'netflix', 'uber']","['@Iterable ', '@Netflix', '@databricks', '@databricks ', '@uber ', 'Uber', 'Uber ']",,0.4,18,4,57,1,10,24,10,18.0,24.0,90.0,1.3,0,38.4399
+378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1578,208,18,Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2023-02-18,2019-10-30,173,9.121387283236995,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",2023-02-18,19,"['Simon-Free', 'absynthe@amazonwebservices', 'achimgaedke', 'brandonserna@u.s.geologicalsurvey', 'mekomlusa', 'oegedijk@thoughtworks', 'oegesam', 'rajgupt@optum', 'raybellwaves@dtn', 'yanhong-zhao-ef@educationfirst']",6,10,"['amazonwebservices', 'dtn', 'educationfirst', 'optum', 'thoughtworks', 'u.s.geologicalsurvey']","['Amazon Web Services', 'DTN', 'Education First', 'Optum', 'ThoughtWorks', 'U.S. Geological Survey']",,1.6,32,28,40,0,7,23,7,32.0,93.0,90.0,2.9,0,42.7865
+900,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,1573,190,22,Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2023-02-21,2019-11-16,170,9.221943048576215,"['machine-learning', 'automl', 'regression', 'classification']",2022-09-28,18,"['Ankur-singh@zoop.one', 'Arritmic@universityofoulu', 'brendalf@wildlife-studios', 'dataprofessor@streamlit', 'dependabot[bot]', 'felipesassi', 'pyup-bot@pyupio', 'shankarpandala@appliedmaterials', 'shyamcody', 'vidyap-xgboost@fiolabs-internal']",7,10,"['appliedmaterials', 'fiolabs-internal', 'pyupio', 'streamlit', 'universityofoulu', 'wildlife-studios', 'zoop.one']","['@fiolabs-internal ', '@pyupio', '@wildlife-studios', 'Applied Materials', 'Streamlit Inc.', 'University of Oulu', 'zoop.one']",,0.6,38,3,40,5,1,4,1,38.0,24.0,90.0,0.6,0,30.57017
+143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1559,113,37,Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2023-02-21,2018-02-24,260,5.983004385964913,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",2020-07-17,4,"['AjayP13', 'alexsands', 'jweese', 'plasticity-admin@plasticityai']",1,10,['plasticityai'],['@plasticityai'],,0.0,0,0,61,32,0,28,28,0.0,0.0,90.0,0.0,0,15.27622
+662,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1557,297,53,Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2023-02-20,2014-08-07,445,3.4921499519384813,[],2023-02-14,81,"['apmasell', 'esc@anaconda', 'franzhaas', 'gmarkall@nvidia', 'john-tornblom', 'pitrou', 'seibert', 'sklam', 'stuartarchibald', 'whitequark']",2,10,"['anaconda', 'nvidia']","['@nvidia', 'Anaconda Inc.']",,1.5,33,13,104,0,0,13,13,33.0,103.0,90.0,3.1,0,45.49609
+311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1552,84,26,Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2023-02-20,2018-03-13,258,6.012174875484228,[],2022-11-04,39,"['ChrisCarini@linkedin', 'anthrotype', 'bzzzzzz@linkedin', 'dsully@linkedin', 'ipmb@lincolnloop', 'jhermann@mam-dev', 'lorencarvalho@linkedin', 'pfmoore', 'timgates42@iress', 'warsaw@linkedin']",4,10,"['iress', 'lincolnloop', 'linkedin', 'mam-dev']","['@LinkedIn', '@linkedin', '@mam-dev ', 'IRESS', 'Lincoln Loop', 'LinkedIn']",,0.15,5,3,60,4,2,4,2,5.0,5.0,90.0,1.0,0,31.55807
+635,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1539,77,43,JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2023-02-18,2017-07-22,291,5.278294953454189,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",2022-05-18,10,"['MichaelCurrin@actcommodities', 'aivarannamaa@cybernetica', 'alexmojaki', 'bugosiphionah', 'houluy@beijinguniversityofpostsandtelecomms.', 'skeledrew@skelevilletechnologysolutions', 'spamegg1']",4,10,"['actcommodities', 'beijinguniversityofpostsandtelecomms.', 'cybernetica', 'skelevilletechnologysolutions']","['ACT Commodities', 'Beijing University of Posts and Telecomms.', 'Cybernetica', 'Skeleville Technology Solutions']",,0.02,1,0,68,9,0,1,1,1.0,2.0,90.0,2.0,0,25.67002
+224,sim,https://github.com/google/brax,,,,google/brax,brax,1537,159,37,Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2023-02-19,2021-06-02,90,17.07777777777778,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",2023-02-09,27,"['7thStringofZhef', 'cdfreeman-google@google', 'cemlyn007@instadeep', 'danielsuo@princetonuniversity', 'erikfrey', 'lebrice', 'namheegordonkim', 'sgillen', 'traversaro@italianinstituteoftechnology', 'vwxyzjn@drexeluniversity']",5,10,"['drexeluniversity', 'google', 'instadeep', 'italianinstituteoftechnology', 'princetonuniversity']","['Drexel University', 'Google', 'InstaDeep', 'Italian Institute of Technology', 'Princeton University']",,0.37,48,31,21,0,8,9,8,48.0,72.0,90.0,1.5,0,39.00585
+612,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1525,121,33,Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2023-02-21,2014-07-17,448,3.3975175047740294,"['pytest', 'mock', 'hacktoberfest']",2023-02-14,64,"['The-Compiler@bruhinsoftware', 'blueyed@freelancer,upforhire', 'fogo', 'graingert', 'hugovk@nordsoftware', 'inderpreet99@wayfair', 'jurko-gospodnetic@pkesistemi', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'tirkarthi@visa']",7,10,"['bruhinsoftware', 'esss', 'freelancer,upforhire', 'nordsoftware', 'pkesistemi', 'visa', 'wayfair']","['Bruhin Software', 'ESSS', 'Freelancer, up for hire', 'Nord Software', 'PKE sistemi', 'Visa Inc.', 'Wayfair']",,0.96,15,13,105,0,5,7,5,15.0,9.0,90.0,0.6,0,43.24972
+591,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1510,260,36,Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2023-02-21,2020-03-21,152,9.897003745318353,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",2022-02-18,13,"['Buuntu@facebook', 'F1r3Hydr4nt', 'JasonHoku@jasonhoku', 'RobbertH', 'adamnieto@pfizer', 'arihantsurana@nearmap', 'cdeil@heidelbergcement', 'dependabot-preview[bot]', 'dependabot[bot]', 'ilyakam']",5,10,"['facebook', 'heidelbergcement', 'jasonhoku', 'nearmap', 'pfizer']","['@facebook', '@nearmap ', '@pfizer', 'HeidelbergCement', 'JasonHoku']",,0.0,4,2,36,12,0,1,1,4.0,2.0,90.0,0.5,0,23.47502
+438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1500,183,45,Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2023-02-20,2021-03-10,102,14.705882352941176,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",2023-02-17,20,"['ajstewartlang@universityofmanchester', 'amorfinv', 'darrenwiens', 'giswqs@universityoftennessee', 'jbednar@anaconda', 'junjiez', 'rowheat02@naxa', 'sackh', 'sdruskat@germanaerospacecenter(dlr)', 'sugatoray@universityofwisconsin-milwaukee']",6,10,"['anaconda', 'germanaerospacecenter(dlr)', 'naxa', 'universityofmanchester', 'universityoftennessee', 'universityofwisconsin-milwaukee']","['Anaconda, Inc.', 'German Aerospace Center (DLR)', 'NAXA', 'University of Manchester', 'University of Tennessee', 'University of Wisconsin - Milwaukee']",,4.35,49,42,24,0,39,35,39,49.0,50.0,90.0,1.0,0,42.83276
+531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1499,113,39,Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2023-02-19,2020-12-11,114,13.067247820672478,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",2023-02-20,40,"['KSGulin@neuralmagic', 'bfineran@neuralmagic', 'corey-nm', 'dbogunowicz', 'eldarkurtic', 'jeanniefinks@neuralmagic', 'kevinaer@neuralmagic', 'markurtz@neuralmagic', 'natuan', 'rahul-tuli@neuralmagic']",1,10,['neuralmagic'],"['@neuralmagic', '@neuralmagic ', 'Neural Magic']",,8.54,243,222,27,0,13,13,13,243.0,95.0,90.0,0.4,0,39.34342
+828,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,1495,169,18,Python,https://gymnasium.farama.org,"Gymnasium: A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)",farama-foundation,2023-02-21,2022-09-08,23,62.66467065868263,[],2023-02-21,410,"['RedTachyon', 'gdb', 'jietang', 'jkterry1', 'jonasschneider', 'joschu', 'pseudo-rnd-thoughts', 'pzhokhov', 'tlbtlbtlb@umbrellaresearch', 'zuoxingdong@navercorp']",2,10,"['navercorp', 'umbrellaresearch']","['NAVER Corp', 'Umbrella Research']",,8.63,221,185,6,0,6,12,6,221.0,334.0,90.0,1.5,0,45.34824
+498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1482,244,68,Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2023-02-19,2020-09-09,128,11.578125,[],2021-12-14,3,"['Korbpw', 'gaochen315@meta', 'jbhuang0604@virginiatech']",2,10,"['meta', 'virginiatech']","['Meta', 'Virginia Tech']",,0.0,0,0,30,14,0,0,0,0.0,0.0,90.0,0.0,0,11.00056
+372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1462,171,39,Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2023-02-21,2021-05-21,91,15.940809968847352,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",2023-02-20,34,"['MATRIX4284', 'RitwikGupta@ucberkeley', 'adamjstewart@universityofillinoisaturbana-champaign', 'ashnair1', 'calebrob6@microsoft', 'dependabot[bot]', 'iejMac@stabilityai', 'isaaccorley@dronebase', 'nilsleh', 'remtav@nrcan']",6,10,"['dronebase', 'microsoft', 'nrcan', 'stabilityai', 'ucberkeley', 'universityofillinoisaturbana-champaign']","['@NRCan ', 'DroneBase', 'Microsoft', 'StabilityAI', 'UC Berkeley', 'University of Illinois at Urbana-Champaign']",,8.77,298,244,21,0,4,4,4,298.0,467.0,90.0,1.6,0,45.49611
+324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1460,124,31,Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2023-02-21,2016-10-19,331,4.410876132930514,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",2022-12-08,40,"['Jwomers@pyupio', 'cb22@roomsh', 'chowmean@practoolacabslearnstepsletusdevops', 'jayfk', 'lesleycla@pyupio', 'mgedmin@programmersofvilnius', 'nicholasks@syncsketch', 'pyup-bot@pyupio', 'rafaelpivato', 'yeisonvargasf@pyupio']",5,10,"['practoolacabslearnstepsletusdevops', 'programmersofvilnius', 'pyupio', 'roomsh', 'syncsketch']","['@practo @olacabs @learnsteps @letusdevops', '@pyupio', '@pyupio ', '@roomsh ', 'Programmers of Vilnius', 'SyncSketch']",,2.06,41,30,77,2,11,9,11,41.0,39.0,90.0,1.0,0,41.27583
+298,crypto,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1458,192,29,Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2023-02-21,2021-03-09,102,14.274125874125874,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",2023-02-02,16,"['AlgoQ@algoq', 'Aryan34', 'AydinGokce', 'EmersonDove@student', 'arun-annamalai@amazonwebservices', 'bfan1256', 'jkalish14', 'jordibeen@develeopardscheck-mobility', 'mehta-avi', 'qmatias@open-shade']",5,10,"['algoq', 'amazonwebservices', 'develeopardscheck-mobility', 'open-shade', 'student']","['@Develeopards @check-mobility ', '@open-shade ', 'AlgoQ', 'Amazon Web Services', 'Student']",,7.21,16,5,24,1,3,14,3,16.0,36.0,90.0,2.2,0,37.0026
+977,ml,https://github.com/lucidrains/musiclm-pytorch,1.0,,,lucidrains/musiclm-pytorch,musiclm-pytorch,1458,91,71,Python,,"musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch",lucidrains,2023-02-21,2023-01-27,3,392.53846153846155,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'music-synthesis', 'transformers']",2023-02-17,1,['lucidrains'],0,10,[],[],,1.06,22,20,1,0,25,304,25,22.0,110.0,90.0,5.0,0,22.5318
+861,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1446,512,51,Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2023-02-20,2015-04-09,410,3.519471488178025,[],2023-02-20,256,"['Carreau@quansight-labs', 'MSeal@noteable-io', 'SylvainCorlay@quantstack', 'blink1073@mongodb', 'damianavila', 'jdfreder@google', 'jhamrick', 'minrk@simularesearchlaboratory', 'mpacer@netflix', 'takluyver']",7,10,"['google', 'mongodb', 'netflix', 'noteable-io', 'quansight-labs', 'quantstack', 'simularesearchlaboratory']","['@Quansight-Labs', '@google ', '@noteable-io', 'MongoDB', 'Netflix', 'QuantStack', 'Simula Research Laboratory']",,3.0,69,28,96,0,21,9,21,69.0,85.0,90.0,1.2,0,53.23685
+949,nlp,https://github.com/alibaba/easynlp,,,,alibaba/easynlp,EasyNLP,1442,178,31,Python,,EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit,alibaba,2023-02-21,2022-04-06,46,31.347826086956523,"['transformers', 'bert', 'nlp', 'pretrained-models', 'deep-learning', 'pytorch', 'fewshot-learning', 'knowledge-distillation', 'knowledge-pretraining', 'text-image-retrieval', 'text-to-image-synthesis', 'machine-learning', 'text-classification', 'transfer-learning']",2023-02-21,33,"['Chen9154', 'LZYSaltedFish', 'Longpai@cqu', 'chywang', 'deplay', 'lwmlyy@shanghaiuniversityoffinanceandeconomics', 'minghui@alibabagroup', 'ttliu-kiwi@daseecnu', 'wjn1996@http://www.wjn1996.cn', 'zhuxiangru']",5,10,"['alibabagroup', 'cqu', 'daseecnu', 'http://www.wjn1996.cn', 'shanghaiuniversityoffinanceandeconomics']","['Alibaba Group', 'CQU', 'Dase@Ecnu', 'Shanghai University of Finance and Economics', 'http://www.wjn1996.cn']",,11.25,52,40,11,0,1,1,1,52.0,41.0,90.0,0.8,0,37.93277
+638,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1440,674,58,Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2023-02-20,2015-09-13,388,3.7072453107760204,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",2023-02-20,306,"['crusaderky', 'fjetter@coiled', 'gjoseph92@coiled', 'graingert', 'hendrikmakait@coiled', 'jacobtomlinson@nvidia', 'jakirkham', 'jrbourbeau@coiled', 'mrocklin@coiled', 'pitrou']",2,10,"['coiled', 'nvidia']","['@coiled', '@coiled ', '@nvidia']",,14.63,297,171,91,0,0,26,26,297.0,809.0,90.0,2.7,0,55.90811
+429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1428,118,17,TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2023-02-21,2019-08-17,183,7.778988326848249,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",2023-01-02,46,"['Carreau@quansight-labs', 'JessicaBarh', 'bollwyvl', 'dependabot[bot]', 'fcollonval@quantstack', 'jtpio@quantstack', 'karlaspuldaro@ibm-codait', 'krassowski@universityofoxford|quansight', 'martinRenou@quantstack', 'trajamsmith@google']",5,10,"['google', 'ibm-codait', 'quansight-labs', 'quantstack', 'universityofoxford|quansight']","['@Quansight-Labs', '@QuantStack', 'Google', 'IBM - CODAIT', 'University of Oxford | Quansight']",,3.19,46,23,43,2,2,12,2,46.0,77.0,90.0,1.7,0,39.48395
+108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1427,228,32,Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2023-02-21,2016-02-26,364,3.9126517822169995,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",2022-06-03,48,"['asaolabs', 'dependabot-preview[bot]', 'gmyers-amfam@amfamlabs', 'jmeekhof@charliehealth', 'loide', 'mwbenowitz', 'nficano', 'rishabh-bhargava@stanforduniversity', 'slapula', 'soapergem@gemovationlabs']",4,10,"['amfamlabs', 'charliehealth', 'gemovationlabs', 'stanforduniversity']","['@AmFamLabs ', 'Charlie Health', 'Gemovation Labs, LLC', 'Stanford University']",,0.02,3,0,85,9,0,8,8,3.0,0.0,90.0,0.0,0,28.83879
+721,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1405,74,16,Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2023-02-20,2018-09-03,233,6.022657685241886,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",2022-12-20,28,"['Jasha10', 'anthonytec2@upenn', 'jgehring@facebookairesearch', 'kfollesdal', 'maresb@m²hycongmbh', 'odelalleau', 'omry@facebookairesearch', 'pereman2@ibmceph', 'pixelb@facebook', 'sugatoray@universityofwisconsin-milwaukee']",6,10,"['facebook', 'facebookairesearch', 'ibmceph', 'm²hycongmbh', 'universityofwisconsin-milwaukee', 'upenn']","['@facebook', '@ibm @ceph', '@upenn', 'Facebook AI Research', 'University of Wisconsin - Milwaukee', 'm²hycon GmbH']",,2.06,34,18,54,2,4,4,4,34.0,75.0,90.0,2.2,0,40.18628
+317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1402,252,32,Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2023-02-18,2019-06-09,193,7.248153618906942,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",2023-02-19,143,"['aholkner', 'andy-5', 'benmoran56', 'caffeinepills', 'dangillet', 'einarf@zetta.io', 'phillip-nguyen', 'reidrac@itv', 'silvester747@tomtom-international', 'techtonik']",3,10,"['itv', 'tomtom-international', 'zetta.io']","['@ITV ', '@tomtom-international', 'Zetta.IO']",,7.92,79,54,45,0,9,15,9,79.0,193.0,90.0,2.4,0,48.74554
+149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1397,614,89,Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2023-02-21,2013-01-17,526,2.6515726681127982,"['salesforce', 'api', 'api-client', 'python']",2023-01-18,75,"['andscoop', 'demianbrecht@salesforce', 'fr-anthony', 'hello-josh', 'jasonschroeder-sfdc@salesforce', 'jon-wobken', 'llazzaro@:+1:', 'nickcatal', 'scottpersinger@tatari', 'shawalli']",3,10,"[':+1:', 'salesforce', 'tatari']","[':+1: ', '@salesforce', '@salesforce ', 'Tatari']",,0.23,54,30,123,1,5,4,5,54.0,37.0,90.0,0.7,0,39.77074
+318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1395,263,56,Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2023-02-20,2016-01-04,372,3.74712202609363,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",2023-02-21,137,"['Cleptomania', 'SirGnip', 'chpurdy', 'dangillet', 'einarf@zetta.io', 'eruvanos@vw-dilab', 'janscas', 'pauleveritt@jetbrains', 'pushfoo@freelance,opentofull-time', 'pvcraven@optimizely']",5,10,"['freelance,opentofull-time', 'jetbrains', 'optimizely', 'vw-dilab', 'zetta.io']","['@vw-dilab  ', 'Freelance, open to full-time', 'JetBrains', 'Optimizely', 'Zetta.IO']",,15.06,213,173,87,0,0,18,18,213.0,246.0,90.0,1.2,0,53.98334
+613,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1391,191,34,Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2023-02-20,2014-04-17,461,3.0117537890504176,"['pytest', 'python']",2022-12-03,81,"['blueyed@freelancer,upforhire', 'davidszotten', 'graingert', 'hugovk@nordsoftware', 'ionelmc', 'nedbat', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'schlamar', 'wolph']",3,10,"['esss', 'freelancer,upforhire', 'nordsoftware']","['ESSS', 'Freelancer, up for hire', 'Nord Software']",,0.62,32,13,108,3,0,5,5,32.0,78.0,90.0,2.4,0,40.53243
+284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1385,164,46,Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2023-02-21,2015-05-24,404,3.42458495231367,"['python', 'orm', 'database']",2022-03-13,32,"['ArthurYdalgo', 'BrandonShar@ezcater', 'cselmer', 'denislins', 'ihumanable', 'jiahut', 'josephmancuso@masoniteframework', 'scorphus@gitlab', 'sdispater', 'vaibhavmule@polymerize']",4,10,"['ezcater', 'gitlab', 'masoniteframework', 'polymerize']","['@GitLab', '@MasoniteFramework ', '@Polymerize ', 'ezCater']",,0.02,2,0,94,12,0,3,3,2.0,1.0,90.0,0.5,0,27.42174
+267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1384,89,22,Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2023-02-18,2017-08-12,288,4.796039603960396,"['latex', 'academic-publishing', 'science', 'arxiv']",2022-01-18,9,"['ImgBotApp@imgbot', 'bfirsh@replicate', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'jai-deepsource@deepsourcelabs', 'jkukul', 'ryota-mo']",3,10,"['deepsourcelabs', 'imgbot', 'replicate']","['@deepsourcelabs ', '@replicate', 'Imgbot']",,0.0,20,8,67,13,0,0,0,20.0,11.0,90.0,0.6,0,22.65393
+766,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1371,192,22,Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2023-02-21,2022-09-15,22,59.98125,[],2022-11-22,13,"['AK391@huggingface', 'Lime-Cakes', 'PabloRosales', 'ShaunXZ', 'adietrichs', 'alexgann', 'costiash', 'divamgupta', 'fchollet', 'virtualramblas']",1,10,['huggingface'],['Huggingface'],,1.79,11,1,5,3,0,0,0,11.0,21.0,90.0,1.9,0,20.14572
+478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1370,240,47,Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2023-02-21,2018-09-20,230,5.9344059405940595,[],2023-01-25,49,"['adarob@google', 'craffel@uncandhuggingface', 'dustinvtran@googlebrain', 'hwchung27', 'katelee168', 'mmatena', 'nfiedel@google', 'nshazeer', 'sharannarang', 'toponado-zz@google']",3,10,"['google', 'googlebrain', 'uncandhuggingface']","['@Google', '@google', 'Google', 'Google Brain', 'UNC and Hugging Face']",,0.12,2,0,54,1,0,1,1,2.0,0.0,90.0,0.0,0,27.92751
+659,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1367,267,46,Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2023-02-21,2016-10-21,330,4.133477321814254,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",2023-02-16,59,"['JeanKossaifi@nvidiaai', 'MarieRoald@simulametropolitan', 'aarmey@universityofcalifornia,losangeles', 'asmeurer@quansight', 'caglayantuna@inria', 'cyrillustan', 'merajhashemi', 'scopatz', 'taylorpatti', 'yngvem@bouvet']",6,10,"['bouvet', 'inria', 'nvidiaai', 'quansight', 'simulametropolitan', 'universityofcalifornia,losangeles']","['@Quansight ', 'Bouvet', 'INRIA', 'NVIDIA AI', 'Simula Metropolitan', 'University of California, Los Angeles']",,5.31,50,33,77,0,1,3,1,50.0,104.0,90.0,2.1,0,45.87107
+460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1363,318,64,Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2023-02-20,2018-10-16,227,6.00062893081761,"['natural-language-processing', 'machine-learning', 'research']",2023-02-14,10,"['Harmon758', 'bdhingra', 'calberti', 'dhgarrette@googleresearch', 'djweiss@google', 'jhclark-google@google', 'kentonl@universityofwashington', 'manzilz', 'oja', 'slavpetrov']",3,10,"['google', 'googleresearch', 'universityofwashington']","['Google', 'Google Research', 'University of Washington']",,0.1,5,1,53,0,0,0,0,5.0,1.0,90.0,0.2,0,25.86332
+676,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,sedona,1359,558,105,Java,http://sedona.apache.org/,sedona: A cluster computing framework for processing large-scale geospatial data,apache,2023-02-20,2015-04-24,408,3.3250611674239776,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",2023-02-20,93,"['Imbruced', 'Kontinuation@wherobots', 'jiayuasu@wherobots', 'jinxuan@bloomberg', 'kanchanchy', 'mbasmanova', 'netanel246@upstreamsecurity', 'sekikn@nttdata', 'umartin', 'zongsizhang@grab']",5,10,"['bloomberg', 'grab', 'nttdata', 'upstreamsecurity', 'wherobots']","['Bloomberg', 'Grab', 'NTT DATA', 'Upstream Security ', 'Wherobots Inc.']",,4.27,180,176,95,0,4,9,4,180.0,97.0,90.0,0.5,0,47.12692
+898,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1338,224,42,Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2023-02-19,2017-07-13,292,4.568780487804878,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",2022-10-17,24,"['FavioVazquez@life', 'Jarrioja@boitas', 'MrPowers', 'argenisleon@bumblebee', 'arpit1997@socialcopsdeviiitvatlanhq', 'dependabot[bot]', 'eschizoid', 'joseangelhernao', 'luis11011@bumblebee', 'pyup-bot@pyupio']",5,10,"['boitas', 'bumblebee', 'life', 'pyupio', 'socialcopsdeviiitvatlanhq']","['@boitas', '@pyupio', '@socialcopsdev @iiitv @atlanhq', 'Bumblebee', 'Life']",,3.13,11,6,68,4,7,23,7,11.0,7.0,90.0,0.6,0,35.30256
+338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1334,79,19,Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2023-02-21,2021-10-27,69,19.333333333333332,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",2023-01-24,8,"['Lunar-ZZ', 'TienTim', 'ardacoskunses', 'iiSeymour@oxfordnanoporetechnologies', 'mend-bolt-for-github[bot]', 'paul-nameless', 'tlkh@singaporeuniversityoftechnologyanddesign']",2,10,"['oxfordnanoporetechnologies', 'singaporeuniversityoftechnologyanddesign']","['Oxford Nanopore Technologies', 'Singapore University of Technology and Design']",,0.29,13,2,16,1,0,0,0,13.0,25.0,90.0,1.9,0,24.24257
+450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1331,350,61,JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2023-02-20,2014-05-07,459,2.899782135076253,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",2023-02-10,82,"['HaudinFlorence@quantstack', 'SylvainCorlay@quantstack', 'VasavanThiru', 'davidbrochart@quantstack', 'dependabot[bot]', 'ellisonbg@amazonwebservices', 'fitoprincipe@ldc', 'jasongrout@databricks', 'martinRenou@quantstack', 'sackh']",4,10,"['amazonwebservices', 'databricks', 'ldc', 'quantstack']","['@QuantStack', '@databricks', 'Amazon Web Services', 'LDC', 'QuantStack']",,1.87,34,6,107,0,4,9,4,34.0,43.0,90.0,1.3,0,43.59071
+877,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1324,220,36,Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2023-02-20,2017-03-30,307,4.300696055684455,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",2022-12-20,22,"['aaronreidsmith@sevcosecurity', 'anne-decusatis', 'charlesdrotar@microsoft', 'chivalry@chivalrysoftware', 'christopher-siewert', 'felix-hilden', 'garyForeman', 'ryanrussell', 'telamonian@jpmorgan', 'tgsmith61591@toyota-connected']",5,10,"['chivalrysoftware', 'jpmorgan', 'microsoft', 'sevcosecurity', 'toyota-connected']","['@toyota-connected ', 'Chivalry Software', 'JP Morgan', 'Microsoft', 'Sevco Security']",,0.4,14,6,72,2,5,7,5,14.0,8.0,90.0,0.6,0,34.26207
+465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1321,226,26,Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2023-02-21,2021-07-12,84,15.672881355932203,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",2023-02-18,140,"['RenfeiChen-FB', 'YLGH', 'YazhiGao@facebookai', 'colin2328@pytorch', 'facebook-github-bot@facebook', 'joshuadeng', 's4ayub', 'samiwilf', 'xing-liu@facebookai', 'zyan0@meta']",4,10,"['facebook', 'facebookai', 'meta', 'pytorch']","['@facebook', '@pytorch ', 'Facebook AI', 'Meta']",,14.08,244,191,20,0,4,3,4,231.0,565.0,90.0,2.4,0,49.15202
+941,data,https://github.com/datastax/python-driver,,,,datastax/python-driver,python-driver,1318,510,81,Python,,python-driver: DataStax Python Driver for Apache Cassandra,datastax,2023-02-17,2013-07-08,502,2.624004550625711,[],2023-01-24,187,"['GregBestland', 'TheRealFalcon@canonical', 'aboudreault@kovarogroup', 'aholmberg', 'bdeggleston@apple', 'beltran@google', 'joaquincasares@audiusproject', 'mambocab@rapid7', 'rustyrazorblade@apple', 'thobbs@anticlassicstudios']",7,10,"['anticlassicstudios', 'apple', 'audiusproject', 'canonical', 'google', 'kovarogroup', 'rapid7']","['@AudiusProject', 'Anticlassic Studios, LLC', 'Apple', 'Canonical', 'Google LLC', 'Kovaro Group', 'Rapid7']",,0.25,8,4,117,1,0,9,9,8.0,13.0,90.0,1.6,0,45.8438
+885,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1317,224,21,Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2023-02-20,2019-08-15,183,7.163170163170163,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",2023-02-20,14,"['97harsh', 'MaggieWYZW@bumbleinc', 'Pranjalya@deepsync-technologies', 'codeananda', 'dependabot-preview[bot]', 'dependabot[bot]', 'isaacmg', 'kritim13', 'michaelwang1994', 'wwymak']",2,10,"['bumbleinc', 'deepsync-technologies']","['@deepsync-technologies', 'Bumble Inc']",,4.42,28,21,43,0,6,11,6,28.0,27.0,90.0,1.0,0,35.90675
+391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1300,193,25,Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2023-02-20,2021-12-17,61,21.064814814814813,"['image-translation', 'gans', 'anime']",2022-02-05,3,"['AK391@huggingface', 'mchong6', 'vganapati']",1,10,['huggingface'],['Huggingface'],,0.0,6,1,14,13,0,0,0,6.0,2.0,90.0,0.3,0,10.33555
+514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1293,200,21,Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2023-02-19,2016-12-28,321,4.02803738317757,[],2022-11-23,16,"['KhirilovA', 'agronholm@nextdaysolutionsoy', 'andrewcarretta', 'd10n', 'danohu', 'dhirschfeld', 'laurentS', 'leonarduschen', 'mzpqnxow@mzpqnxow', 'pre-commit-ci[bot]']",2,10,"['mzpqnxow', 'nextdaysolutionsoy']","['MZPQNXOW, LLC', 'NextDay Solutions Oy']",,0.69,16,3,75,3,0,3,3,16.0,55.0,90.0,3.4,0,33.00863
+435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1288,206,40,Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2023-02-21,2018-05-11,249,5.157894736842105,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",2023-01-24,41,"['JDTheRipperPC', 'ManuelAlvarezC@precognit', 'amontanez24', 'csala@pythiac', 'fealho@datacebo', 'katxiao', 'kveerama@mit', 'npatki@datacebo', 'pvk-developer@sdv-dev', 'xamm@h&mgroup']",6,10,"['datacebo', 'h&mgroup', 'mit', 'precognit', 'pythiac', 'sdv-dev']","['@datacebo', '@precognit ', '@pythiac ', '@sdv-dev ', 'DataCebo', 'H&M Group', 'MIT']",,2.83,189,159,58,1,8,9,8,189.0,198.0,90.0,1.0,0,44.45314
+474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1273,80,40,Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2023-02-21,2020-12-14,114,11.13875,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",2023-02-20,31,"['InquestGeronimo@neuralmagic', 'bfineran@neuralmagic', 'corey-nm', 'dbogunowicz', 'dhuangnm@neuralmagic', 'jeanniefinks@neuralmagic', 'kylesayrs', 'markurtz@neuralmagic', 'mgoin@neuralmagic', 'rahul-tuli@neuralmagic']",1,10,['neuralmagic'],"['@neuralmagic', 'Neural Magic']",,7.31,152,139,27,0,15,14,15,152.0,85.0,90.0,0.6,0,38.5848
+178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1253,282,50,Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2023-02-21,2017-03-14,310,4.040073698756333,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",2023-01-23,14,"['BreakBB@codecentric', 'adrianeboyd', 'davidefiocco@frontiersin', 'explosion-bot@explosion', 'honnibal@founderexplosion', 'ines@founderexplosion', 'kuk@alexanderkukushkindatasciencelaboratory', 'manojkumarvohra', 'maziyarpanahi@iscpifjohnsnowlabs', 'polm@cotonoha']",7,10,"['alexanderkukushkindatasciencelaboratory', 'codecentric', 'cotonoha', 'explosion', 'founderexplosion', 'frontiersin', 'iscpifjohnsnowlabs']","['@ISCPIF @JohnSnowLabs', '@codecentric', '@explosion', '@frontiersin', 'Alexander Kukushkin Data Science Laboratory', 'Cotonoha', 'Founder @explosion ']",,5.1,8,8,72,1,246,138,246,8.0,0.0,90.0,0.0,0,38.50456
+264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1249,63,16,Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2023-02-20,2020-08-02,133,9.360813704496788,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",2023-01-29,30,"['Abdeldjalil-H', 'EspenAlbert@wheel-me', 'ProgrammerPlus1998@金色财经', 'SepehrBazyar@gpsir', 'collerek@kaizentech', 'dependabot[bot]', 'johnthagen', 'mojixcoder@snapp-cab', 'ponytailer@leyantech', 's3rius']",6,10,"['gpsir', 'kaizentech', 'leyantech', 'snapp-cab', 'wheel-me', '金色财经']","['@snapp-cab', '@wheel-me ', 'GPSIR', 'KaizenTech', 'leyantech', '金色财经']",,4.88,75,51,31,1,7,30,7,75.0,77.0,90.0,1.0,0,41.22413
+414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1240,224,38,Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2023-02-15,2014-06-26,451,2.74423016123933,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",2023-01-22,68,"['ACSC-CyberLab', 'Pehat', 'carantunes@cern', 'chrismattmann@nasa', 'dongnizh', 'igormp', 'jjelosua@elevenpaths', 'kdurril', 'matthewdavislee', 'yashtanna93@amzn']",4,10,"['amzn', 'cern', 'elevenpaths', 'nasa']","['@amzn', '@cern', 'Elevenpaths', 'NASA']",,0.25,92,88,105,1,2,3,2,92.0,75.0,90.0,0.8,0,40.39795
+194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1216,79,16,Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2023-02-21,2019-01-14,214,5.674666666666667,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",2022-11-27,29,"['SKalt@resurety', 'allan-simon@rosaly', 'aminalaee', 'emcpow2', 'jordaneremieff', 'koxudaxi@tractabletractableai', 'lsorber', 'nathanglover@thewaltdisneycompany', 'simonw@datasette', 'zachmullen@kitware']",6,10,"['datasette', 'kitware', 'resurety', 'rosaly', 'thewaltdisneycompany', 'tractabletractableai']","['@Kitware ', '@REsurety', '@Rosaly', 'Datasette', 'The Walt Disney Company', 'Tractable @tractableai']",,0.35,12,7,50,3,7,14,7,12.0,11.0,90.0,0.9,0,35.34099
+566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1215,449,54,Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2023-02-19,2017-07-22,291,4.167074963253307,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",2023-01-01,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.48,4,4,68,2,0,2,2,4.0,3.0,90.0,0.8,0,20.35291
+720,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1214,82,28,Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2023-02-20,2021-11-18,65,18.433839479392624,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",2023-02-20,19,"['bamos@metaai(fair)', 'brentyi', 'cpaxton', 'exhaustin', 'fantaosha', 'jeffin07', 'joeaortiz', 'luisenp@facebookairesearchfacebookresearch', 'maurimo', 'mhmukadam@metaai']",3,10,"['facebookairesearchfacebookresearch', 'metaai', 'metaai(fair)']","['Facebook AI Research @facebookresearch ', 'Meta AI', 'Meta AI (FAIR)']",,4.15,102,76,15,0,5,6,5,103.0,48.0,90.0,0.5,0,35.78901
+916,math,https://github.com/google-research/torchsde,,,,google-research/torchsde,torchsde,1213,144,33,Python,,torchsde: Differentiable SDE solvers with GPU support and efficient sensitivity analysis. ,google-research,2023-02-20,2020-07-06,137,8.835587929240374,"['deep-learning', 'deep-neural-networks', 'pytorch', 'dynamical-systems', 'differential-equations', 'stochastic-processes', 'stochastic-differential-equations', 'stochastic-volatility-models', 'neural-differential-equations']",2021-07-26,5,"['dhirschfeld', 'lxuechen', 'mtsokol@bcg-gamma', 'patrick-kidger@googlex', 'ucalyptus']",2,10,"['bcg-gamma', 'googlex']","['@BCG-Gamma', 'Google X']",,0.0,6,2,32,19,0,2,2,6.0,3.0,90.0,0.5,0,17.3522
+162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1209,155,30,Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2023-02-21,2019-07-26,186,6.47513389441469,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",2023-02-17,20,"['KennethEnevoldsen@centerforhumanitiescomputingaarhus', 'adrianeboyd', 'bryant1410@michigannlp', 'danieldk@explosion', 'honnibal@founderexplosion', 'ines@founderexplosion', 'ryndaniels', 'shadeMe', 'svlandeg@explosion&oxykodit', 'tamuhey@indeedeng']",6,10,"['centerforhumanitiescomputingaarhus', 'explosion', 'explosion&oxykodit', 'founderexplosion', 'indeedeng', 'michigannlp']","['@MichiganNLP', '@explosion ', '@indeedeng', 'Center for Humanities Computing Aarhus', 'Explosion & OxyKodit', 'Founder @explosion ']",,0.81,21,19,44,0,8,12,8,21.0,21.0,90.0,1.0,0,39.37273
+304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1205,46,13,Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2023-02-20,2020-10-16,122,9.819557625145517,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",2023-02-15,20,"['RiddhiBagadiaa', 'Sami1309', 'ahmadnazeri', 'antony-eng', 'ksshiraja', 'saadhvi27', 'sdreyer', 'shabbyjoon', 'simba-git@featureform', 'steffitan23']",1,10,['featureform'],['Featureform'],,45.13,97,84,29,0,13,7,13,97.0,84.0,90.0,0.9,0,40.34776
+451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1201,244,32,Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2023-02-19,2013-05-04,511,2.347668249092432,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",2023-02-13,96,"['FirefoxMetzger@usr-lab', 'actions-user@actions', 'almarklein@independentsoftwareengineer', 'anntzer', 'blink1073@mongodb', 'dennisvang', 'hmaarrfk@californiainstituteoftechnology', 'jni@biomedicinediscoveryinstitute,monashuniversity', 'kuchi', 'paulmueller@gucklab']",7,10,"['actions', 'biomedicinediscoveryinstitute,monashuniversity', 'californiainstituteoftechnology', 'gucklab', 'independentsoftwareengineer', 'mongodb', 'usr-lab']","['@GuckLab ', '@actions', '@usr-lab ', 'Biomedicine Discovery Institute, Monash University', 'California Institute of Technology', 'Independent software engineer', 'MongoDB']",,2.13,46,25,119,0,23,7,23,46.0,134.0,90.0,2.9,0,52.88358
+636,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1201,504,32,Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2023-02-20,2019-08-31,181,6.614476789929189,"['python', 'syntax-highlighting']",2023-02-16,763,"['Anteru@amd', 'EricFromCanada', 'birkenfeld@fzjülich', 'blu-base', 'hoelzro', 'jaingaurav@google', 'jeanas', 'jrnold', 'roskakori', 'thatch']",3,10,"['amd', 'fzjülich', 'google']","['AMD', 'FZ Jülich', 'Google']",,5.46,171,101,42,0,3,17,3,171.0,181.0,90.0,1.1,0,49.91588
+725,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1201,28,14,Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2023-02-20,2021-03-28,99,12.079022988505747,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",2023-01-20,6,"['AdilZouitine@irtsaint-exupéry', 'anivegesana', 'gkorepanov@avatarify', 'olliethomas@universityofsussexairesearchgroup', 'patrick-kidger@googlex', 'teichert']",4,10,"['avatarify', 'googlex', 'irtsaint-exupéry', 'universityofsussexairesearchgroup']","['Avatarify', 'Google X', 'IRT Saint-Exupéry', 'University of Sussex AI Research Group']",,0.04,6,3,23,1,0,0,0,6.0,11.0,90.0,1.8,0,26.10474
+802,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1189,429,35,Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2023-02-21,2019-05-07,198,6.000720980533526,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",2023-02-17,184,"['Oberon00@dynatrace', 'aabmass@google', 'c24t@google', 'codeboten@lightstep', 'lzchen@microsoftcorporation', 'mauriciovasquezbernal@microsoft(kinvolk)', 'ocelotl', 'owais@splunk', 'srikanthccv@signoz.io', 'toumorokoshi@google']",7,10,"['dynatrace', 'google', 'lightstep', 'microsoft(kinvolk)', 'microsoftcorporation', 'signoz.io', 'splunk']","['@Dynatrace ', '@google', '@google ', '@microsoft (@kinvolk)', '@splunk', 'Google', 'Lightstep', 'Microsoft Corporation', 'signoz.io']",,4.88,209,121,46,0,10,13,10,209.0,360.0,90.0,1.7,0,52.5902
+647,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1187,240,59,Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2023-02-15,2011-06-03,611,1.9404483886034563,[],2023-02-09,111,"['FrancescAlted@francescalted', 'andreabedini@tweag', 'avalentino', 'eumiro', 'joshayers', 'keszybz@redhat', 'matham@cornelluniversity', 'oscargm98', 'scopatz', 'tomkooij@coornhertgymnasium']",5,10,"['coornhertgymnasium', 'cornelluniversity', 'francescalted', 'redhat', 'tweag']","['@FrancescAlted', '@tweag ', 'Coornhert Gymnasium', 'Cornell University', 'Red Hat']",,5.52,39,29,143,0,1,4,1,39.0,117.0,90.0,3.0,0,48.79921
+403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1183,101,26,Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2023-02-20,2018-08-19,235,5.024878640776699,"['async-await', 'trio', 'asyncio', 'curio']",2023-02-13,38,"['agronholm@nextdaysolutionsoy', 'belm0', 'daa', 'danielhasan1', 'graingert', 'gschaffner@andrewjayichlabucsb', 'jhominal', 'pre-commit-ci[bot]', 'smurfix@norisnetworkag', 'uSpike']",3,10,"['andrewjayichlabucsb', 'nextdaysolutionsoy', 'norisnetworkag']","['Andrew Jayich Lab @ UCSB', 'NextDay Solutions Oy', 'noris network AG']",,2.02,31,12,55,0,0,10,10,30.0,45.0,90.0,1.5,0,41.0117
+489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1178,337,55,Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2023-02-21,2012-08-03,550,2.1390402075226977,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",2023-02-02,118,"['QuLogic', 'ajdawson', 'bjlittle@metoffice', 'dopplershift@ucar/unidata', 'esc24', 'greglucas@lasp/lasp/swxtrec', 'pelson', 'rhattersley@metoffice', 'scmc72', 'stefraynaud@shom']",4,10,"['lasp/lasp/swxtrec', 'metoffice', 'shom', 'ucar/unidata']","['@MetOffice ', 'LASP / @lasp / @SWxTREC', 'Met Office', 'Shom', 'UCAR/@Unidata']",,1.17,48,28,128,0,3,4,3,48.0,109.0,90.0,2.3,0,46.73635
+494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1170,289,27,Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2023-02-21,2017-12-09,271,4.308258811152025,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",2021-12-12,1,['hysts'],0,10,[],[],,0.0,0,0,63,15,0,0,0,0.0,0.0,90.0,0.0,0,5.31559
+396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1166,52,23,Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2023-02-20,2018-11-22,221,5.255634256278172,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'web', 'framework', 'http-server']",2023-02-17,10,"['Klavionik', 'RobertoPrevato', 'YassineElbouchaibi', 'antipooh', 'dependabot[bot]', 'gitter-badger@gitter', 'jack-fireworkhq@loopsocial', 'myusko', 'q0w', 'skivis']",2,10,"['gitter', 'loopsocial']","['@loopsocial', 'Gitter']",,0.62,24,19,52,0,8,8,8,24.0,40.0,90.0,1.7,0,35.0036
+862,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1163,318,42,Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2023-02-14,2014-09-13,440,2.6397535667963683,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",2023-01-06,98,"['BertR', 'Carreau@quansight-labs', 'Lawrence37', 'brichet@quantstack', 'danielmaitre', 'jhamrick', 'lgpage', 'rkdarst@aaltouniversity', 'sigurdurb', 'willingc@willingconsulting']",4,10,"['aaltouniversity', 'quansight-labs', 'quantstack', 'willingconsulting']","['@Quansight-Labs', '@quantstack', 'Aalto University', 'Willing Consulting']",,3.92,67,18,103,2,7,3,7,67.0,97.0,90.0,1.4,0,44.37565
+16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1154,298,63,Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2023-02-15,2012-12-11,532,2.1685906040268454,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",2023-02-02,183,"['denik', 'edwardgeorge@apmøller—mærsk', 'geoffsalmon', 'hisbreathliness', 'jstasiak', 'rdw', 'tavisrudd@http://twitter.com/tavisrudd/', 'temoto', 'tipabu', 'whichlinden']",2,10,"['apmøller—mærsk', 'http://twitter.com/tavisrudd/']","['AP Møller — Mærsk', 'http://twitter.com/tavisrudd/']",,0.27,40,21,124,37,0,5,5,40.0,66.0,90.0,1.6,0,34.99646
+666,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,1149,115,42,Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2023-02-20,2022-03-30,47,24.4468085106383,"['evaluation', 'machine-learning']",2023-02-15,115,"['BramVanroy@lt3kuleuven', 'albertvillanova@huggingfaceaiinnova', 'lewtun@huggingface', 'lhoestq@huggingface', 'lvwerra@huggingface', 'mariosasko@huggingface', 'mathemakitten', 'patrickvonplaten', 'sashavor@huggingface', 'thomwolf@huggingface']",3,10,"['huggingface', 'huggingfaceaiinnova', 'lt3kuleuven']","['@huggingface', '@huggingface ', '@huggingface @Aiinnova', '@lt3 @kuleuven', 'Hugging Face', 'HuggingFace']",,7.79,87,43,11,0,8,9,8,87.0,177.0,90.0,2.0,0,44.01943
+817,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1145,100,30,Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2023-02-18,2018-11-28,221,5.180995475113122,[],2023-02-21,8,"['Burhan-Q', 'RichardScottOZ@ozminerals', 'cdhinrichs', 'charlesmartin14@calculationconsulting', 'pachevalier@etalab', 'reserena']",3,10,"['calculationconsulting', 'etalab', 'ozminerals']","['Calculation Consulting', 'Etalab', 'OZ Minerals']",,6.96,63,31,52,0,1,2,1,63.0,89.0,90.0,1.4,0,36.36122
+903,util,https://github.com/ossf/criticality_score,,,,ossf/criticality_score,criticality_score,1141,87,30,Go,,criticality_score: Gives criticality score for an open source project,ossf,2023-02-15,2020-11-17,118,9.657799274486095,[],2023-02-17,19,"['Yikun', 'azeemshaikh38', 'calebbrown', 'coni2k@forcrowd', 'dependabot[bot]', 'inferno-chromium@google', 'lehors@ibm', 'nathannaveen', 'nuthanmunaiah@rochesterinstituteoftechnology', 'oliverchang@google']",4,10,"['forcrowd', 'google', 'ibm', 'rochesterinstituteoftechnology']","['@Google', '@forCrowd', '@google ', 'IBM', 'Rochester Institute of Technology']",,2.38,91,61,28,0,0,2,2,90.0,64.0,90.0,0.7,0,36.69193
+545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1136,180,27,Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2023-02-20,2018-11-29,220,5.14359637774903,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",2022-05-29,21,"['CaesarQ@wohin', 'LaurentMnr95', 'ashutoshbsathe', 'benfei', 'feinsteinben', 'fra31', 'gwding@ecopiaai', 'msalihs', 'tarokiritani@exawizards', 'tracyjin']",3,10,"['ecopiaai', 'exawizards', 'wohin']","['Ecopia AI', 'Exawizards', 'Wohin Inc.']",,0.31,0,0,51,9,0,0,0,0.0,0.0,90.0,0.0,0,19.84477
+904,crypto,https://github.com/ofek/bit,,,,ofek/bit,bit,1128,188,48,Python,https://ofek.dev/bit/,Bitcoin made easy.,ofek,2023-02-19,2016-11-12,327,3.443523767989533,"['bitcoin', 'python', 'libraries', 'cryptocurrencies', 'payments']",2023-02-11,15,"['ChristianOConnor', 'EazyServer', 'GauthamramRavichandran', 'NateNate60', 'Qxe5', 'bjarnemagnussen', 'mgaitan', 'ofek@datadog', 'pedr0-fr', 'philsippl']",1,10,['datadog'],['@datadog'],,0.02,8,2,76,0,0,0,0,8.0,3.0,90.0,0.4,0,25.45365
+618,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1124,187,53,Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2023-02-20,2013-03-29,516,2.175283384019906,[],2023-02-06,53,"['The-Compiler@bruhinsoftware', 'amakhnach', 'asottile', 'bubenkoff', 'drothlis@stb-tester', 'olegpidsadnyi@fareharbor', 'pre-commit-ci[bot]', 'sambarluc@pix4d', 'sliwinski-milosz', 'youtux']",4,10,"['bruhinsoftware', 'fareharbor', 'pix4d', 'stb-tester']","['@FareHarbor', '@stb-tester', 'Bruhin Software', 'Pix4D']",,3.87,22,14,121,0,2,10,2,22.0,23.0,90.0,1.0,0,42.31413
+448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1112,290,81,Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2023-02-17,2013-02-19,522,2.1296853625170997,[],2023-01-28,77,"['TaylorOshan@geoda/asu', 'darribas', 'dfolch@northernarizonauniversity', 'jlaura@usgsastrogeology', 'ljwolf@geogbristol', 'mhwang4', 'nmalizia@telluslabs', 'pastephens', 'schmidtc', 'sjsrey@centerforopengeographicalscience']",6,10,"['centerforopengeographicalscience', 'geoda/asu', 'geogbristol', 'northernarizonauniversity', 'telluslabs', 'usgsastrogeology']","['@geogbristol ', '@telluslabs ', 'Center for Open Geographical Science', 'Geoda/ASU', 'Northern Arizona University', 'USGS Astrogeology']",,0.23,5,5,122,1,4,3,4,5.0,6.0,90.0,1.2,0,40.69243
+928,util,https://github.com/p0dalirius/coercer,,,,p0dalirius/coercer,Coercer,1109,120,18,Python,https://podalirius.net/,Coercer: A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.,p0dalirius,2023-02-20,2022-06-30,33,32.755274261603375,"['authentication', 'automatic', 'call', 'coerce', 'privilege-escalation', 'rpc', 'ntlm', 'fuzzing']",2023-01-18,4,"['exploide', 'jenaye@orange-cyberdefenseinshallhackcmepw', 'p0dalirius@podalirius', 'shoxxdj']",2,10,"['orange-cyberdefenseinshallhackcmepw', 'podalirius']","['@Orange-Cyberdefense @Inshallhack @CMEPW', 'Podalirius']",,1.5,36,29,8,1,9,14,9,36.0,14.0,90.0,0.4,0,25.4663
+651,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1109,37,14,C,,austin: Python frame stack sampler for CPython,p403n1x87,2023-02-21,2018-09-20,230,4.803836633663367,"['python', 'profiling', 'performance', 'debugging-tools']",2022-10-28,7,"['Mortal@madalgo', 'P403n1x87@datadog', 'hatboysam@habosaapps', 'ivoanjo@datadog', 'mitchblank', 'tonybaloney@microsoft', 'xmatthias']",4,10,"['datadog', 'habosaapps', 'madalgo', 'microsoft']","['@DataDog', '@Datadog', 'Habosa Apps', 'MADALGO', 'Microsoft']",,1.71,14,10,54,0,3,6,3,14.0,28.0,90.0,2.0,0,35.8312
+417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1108,159,21,Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2023-02-20,2018-03-04,259,4.270925110132159,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",2023-02-19,106,"['Zeroto521', 'dave-frazzetto', 'dsouzadaniel@pqdev', 'ericmjl', 'hectormz@amdi', 'jk3587', 'samukweku@datajanitor', 'szuckerman', 'thatlittleboy', 'zbarry@springdiscovery']",4,10,"['amdi', 'datajanitor', 'pqdev', 'springdiscovery']","['@pqdev', 'AMDI', 'Data Janitor', 'Spring Discovery']",,2.27,56,33,60,0,2,10,2,56.0,121.0,90.0,2.2,0,45.03108
+798,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1102,153,31,Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2023-02-17,2009-12-10,688,1.5997511406055578,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",2022-12-29,69,"['EelcoHoogendoorn@3dhubs', 'Theelx', 'aldanor', 'davvid@waltdisneyanimationstudios', 'hugovk@nordsoftware', 'jaraco@google', 'johnpaulett@equium-io', 'marcintustin', 'meatballhat@rstudio', 'parsons-kyle-89']",6,10,"['3dhubs', 'equium-io', 'google', 'nordsoftware', 'rstudio', 'waltdisneyanimationstudios']","['3dhubs', '@equium-io', '@rstudio', 'Google', 'Nord Software', 'Walt Disney Animation Studios']",,2.08,26,23,161,2,0,3,3,26.0,44.0,90.0,1.7,0,43.42882
+512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1101,83,16,Python,,typeguard: Run-time type checker for Python,agronholm,2023-02-13,2015-12-27,373,2.948355011476664,[],2023-02-12,25,"['EPronovost', 'agronholm@nextdaysolutionsoy', 'andyljones@anthropic', 'cjolowicz@cloudflare', 'pre-commit-ci[bot]', 'prescod@salesforce.org', 'reinhrst', 'rfrowe@indeed', 'supersergiy', 'wbolster']",5,10,"['anthropic', 'cloudflare', 'indeed', 'nextdaysolutionsoy', 'salesforce.org']","['@cloudflare', 'Anthropic', 'Indeed', 'NextDay Solutions Oy', 'Salesforce.org']",,1.67,54,44,87,0,0,6,6,54.0,188.0,90.0,3.5,0,45.69895
+619,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1099,118,34,Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2023-02-19,2015-04-11,410,2.676757132915797,[],2023-02-14,41,"['Tadaboody', 'Tinche@pocketzworld', 'agronholm@nextdaysolutionsoy', 'alblasco', 'asvetlov@neu.ro', 'dependabot[bot]', 'nicoddemus@esss', 'sashgorokhov@epam', 'seifertm', 'simonfagerholm']",5,10,"['epam', 'esss', 'neu.ro', 'nextdaysolutionsoy', 'pocketzworld']","['@epam', '@pocketzworld ', 'ESSS', 'Neu.ro', 'NextDay Solutions Oy']",,2.73,64,54,96,0,7,5,7,64.0,51.0,90.0,0.8,0,44.43623
+726,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1099,21,17,C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2023-02-19,2022-07-16,31,34.80995475113122,[],2022-08-31,6,"['BeeMoe5', 'Omyyyy', 'ikkebr@universityofcalgary', 'marcelpetrick@marcelpetrick.it', 'phodge-clipchamp']",2,10,"['marcelpetrick.it', 'universityofcalgary']","['University of Calgary', 'marcelpetrick.it']",,1.71,0,0,7,6,1,2,1,0.0,0.0,90.0,0.0,0,14.02804
+239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1097,84,18,Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2023-02-19,2018-07-14,240,4.559976247030879,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",2022-12-10,27,"['adamwolf', 'amjith', 'davidleejy@nationaluniversityofsingapore', 'dbready', 'eyeseast@usatodaynetwork', 'meatcar', 'mfa@axsemantics', 'simonw@datasette', 'simonwiles@stanforduniversity', 'tsibley']",5,10,"['axsemantics', 'datasette', 'nationaluniversityofsingapore', 'stanforduniversity', 'usatodaynetwork']","['@axsemantics ', 'Datasette', 'National University of Singapore', 'Stanford University', 'USA TODAY Network']",,2.52,21,4,56,2,8,25,8,21.0,30.0,90.0,1.4,0,38.24485
+609,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1095,192,47,Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2023-02-21,2015-09-01,390,2.8066642255584036,"['hacktoberfest', 'pytest', 'pytest-plugin']",2023-02-14,89,"['RonnyPfannschmidt@redhatinsights', 'bluetech', 'blueyed@freelancer,upforhire', 'bubenkoff', 'flub', 'hpk42@merlinux', 'hugovk@nordsoftware', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'wronglink']",5,10,"['esss', 'freelancer,upforhire', 'merlinux', 'nordsoftware', 'redhatinsights']","['@RedHatInsights ', 'ESSS', 'Freelancer, up for hire', 'Nord Software', 'merlinux']",,1.25,49,32,91,0,0,8,8,49.0,136.0,90.0,2.8,0,48.39789
+771,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1095,79,32,C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2023-02-16,2020-03-30,151,7.237960339943343,[],2023-02-14,10,"['QrczakMK@google', 'ckennelly', 'cpgaffney1', 'cushon', 'hectorgon', 'jbms', 'laramiel', 'mkruskal-google@protocolbuffers', 'yilei']",2,10,"['google', 'protocolbuffers']","['@google', '@protocolbuffers']",,5.73,24,13,35,0,0,11,11,24.0,125.0,90.0,5.2,0,40.27443
+772,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,1091,112,16,Python,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2023-02-20,2022-06-30,33,32.22362869198312,"['few-shot-learning', 'nlp', 'sentence-transformers']",2023-02-14,35,"['LuketheDukeBates', 'PhilipMay@telekom', 'blakechi', 'danielkorat@nervanasystems', 'eunseojo', 'fgbelidji@huggingface', 'lewtun@huggingface', 'mpangrazzi@wonderflow-bv', 'pdhall99', 'tomaarsen@argilla']",5,10,"['argilla', 'huggingface', 'nervanasystems', 'telekom', 'wonderflow-bv']","['@NervanaSystems ', '@huggingface', '@telekom', '@wonderflow-bv ', 'Argilla', 'Hugging Face']",,6.02,173,107,8,0,8,15,8,173.0,436.0,90.0,2.5,0,43.43285
+656,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1089,71,40,Python,,httptools: Fast HTTP parser,magicstack,2023-02-20,2016-04-25,356,3.0565356856455494,[],2022-09-13,13,"['1st1@edgedb', 'SethMichaelLarson', 'b0g3r@semrush', 'belm0', 'elprans@edgedb', 'fantix@edgedb', 'samuelcolvin@pydantic', 'trollfot', 'yohanboniface@enix', 'youknowone@youknowone.org']",5,10,"['edgedb', 'enix', 'pydantic', 'semrush', 'youknowone.org']","['@edgedb', '@pydantic', '@semrush', 'EdgeDB Inc.', 'Enix', 'youknowone.org']",,0.06,0,0,83,5,2,2,2,0.0,0.0,90.0,0.0,0,24.61524
+627,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1088,218,44,Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2023-02-21,2015-12-15,375,2.9002284843869,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",2023-02-20,83,"['Carreau@quansight-labs', 'DimitriPapadopoulos@cea', 'alimanfoo@weomesangerinstitute', 'andrewfulton9@quansight', 'dependabot[bot]', 'grlee77@nvidia', 'jakirkham', 'joshmoore@openmicroscopy', 'jrbourbeau@coiled', 'mzjp2@mavensecurities']",8,10,"['cea', 'coiled', 'mavensecurities', 'nvidia', 'openmicroscopy', 'quansight', 'quansight-labs', 'weomesangerinstitute']","['@Quansight-Labs', '@coiled ', '@openmicroscopy', 'CEA', 'Maven Securities', 'NVIDIA', 'Quansight', 'Wellcome Sanger Institute']",,3.67,123,70,88,0,17,11,17,124.0,324.0,90.0,2.6,0,53.52288
+626,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1084,266,96,Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2023-02-20,2011-01-24,630,1.7198549410698096,[],2022-10-18,93,"['GaelVaroquaux', 'amalss18@carnegiemellonuniversity', 'dmsurti', 'itziakos@enthought', 'kitchoi', 'larsoner@universityofwashington', 'prabhuramachandran@iitbombay', 'rahulporuri@enthought', 'stefanoborini@astrazenecauk', 'tkoyama010@ark-info-sys']",6,10,"['ark-info-sys', 'astrazenecauk', 'carnegiemellonuniversity', 'enthought', 'iitbombay', 'universityofwashington']","['@ark-info-sys', '@enthought ', 'AstraZeneca UK', 'Carnegie Mellon University', 'IIT Bombay', 'University of Washington']",,0.96,28,5,147,4,0,3,3,28.0,37.0,90.0,1.3,0,40.63198
+654,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1074,58,13,Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2023-02-21,2009-10-07,698,1.5386819484240688,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",2022-11-25,28,"['Suhail-MOHD@nutanix', 'ajdavis@mongodb', 'alioguzhan@telostat', 'dependabot[bot]', 'devxpy@dara.network', 'frohoff', 'gaborbernat@bloomberglp', 'nirs@ibm', 'orivej', 'sumerc']",6,10,"['bloomberglp', 'dara.network', 'ibm', 'mongodb', 'nutanix', 'telostat']","['@mongodb ', '@telostat', 'Bloomberg LP', 'IBM', 'Nutanix', 'dara.network']",,0.65,9,5,163,3,2,0,2,9.0,7.0,90.0,0.8,0,35.34861
+580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1072,119,10,Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2023-02-21,2018-04-21,252,4.244343891402715,"['dataclasses', 'json', 'python']",2022-08-14,46,"['FaraSeer@yadro', 'Glandos', 'HappyTreeBeard', 'RunOrVeith', 'USSX-Hares', 'askogvold@microsoft', 'fabaff', 'lidatong', 'r-richmond', 'rakanalh']",2,10,"['microsoft', 'yadro']","['@yadro', 'Microsoft']",,0.12,23,1,59,6,1,14,1,23.0,15.0,90.0,0.7,0,27.65179
+191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1068,182,23,Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2023-02-21,2020-03-03,155,6.883977900552487,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",2022-11-18,25,"['VoVAllen@tensorchord', 'aksnzhy', 'amazon-auto@amazon', 'classicsong@amazon', 'daikikatsuragawa@japan', 'menjarleev', 'ryantd@kwai', 'sublimotion', 'zby123', 'zheng-da@aws']",5,10,"['amazon', 'aws', 'japan', 'kwai', 'tensorchord']","['@kwai', '@tensorchord ', 'AWS', 'Amazon', 'Japan']",,0.06,7,2,36,3,0,1,1,7.0,6.0,90.0,0.9,0,29.5034
+212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,1063,77,24,Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2023-02-21,2021-01-13,110,9.663636363636364,"['rust', 'python', 'database', 'sql', 'dataframe']",2023-02-10,30,"['Wukkkinz-0725', 'Yizhou150', 'alswang18', 'auyer@estrategiaeducacional', 'dovahcrow@sfu-db', 'gruuya@splitgraph', 'jinzew', 'lBilali', 'wangxiaoying@sfu-db', 'wseaton@redhatofficial']",4,10,"['estrategiaeducacional', 'redhatofficial', 'sfu-db', 'splitgraph']","['@RedHatOfficial', '@sfu-db ', 'Estrategia Educacional', 'Splitgraph']",,5.58,57,12,26,0,4,3,4,57.0,85.0,90.0,1.5,0,40.01235
+449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1050,91,35,Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2023-02-18,2016-06-29,347,3.025936599423631,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",2022-03-18,5,"['QuLogic', 'ResidentMario', 'akarve@quiltdata', 'lmmarsano', 'martinfleis']",1,10,['quiltdata'],['@QuiltData'],,0.21,3,0,81,11,2,3,2,3.0,0.0,90.0,0.0,0,16.30778
+447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,1045,97,24,Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2023-02-21,2019-07-04,189,5.504138449962378,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",2023-02-12,15,"['OmerRonen', 'aagarwal1996', 'bachsh@authomize', 'csinva@seniorresearcher', 'keyan3@berkeleyairesearchlab', 'mepland', 'sms1097', 'thewchan', 'tiffanymtang@universityofcalifornia,berkeley', 'yanshuotan']",4,10,"['authomize', 'berkeleyairesearchlab', 'seniorresearcher', 'universityofcalifornia,berkeley']","['@authomize ', 'Berkeley AI Research Lab', 'Senior researcher', 'University of California, Berkeley']",,2.81,26,20,44,0,10,8,10,26.0,55.0,90.0,2.1,0,40.63103
+644,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1030,69,26,Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2023-02-20,2017-06-12,297,3.4646804420951467,"['python', 'logging', 'logzero', 'logfiles']",2021-03-17,12,"['SitiSchu@mojurasu', 'carlodri', 'christianscott@canva', 'davidhuser@baosystems', 'delirious-lettuce', 'dmartin35', 'lumbric', 'metachris@flashbots', 'pyup-bot@pyupio', 'sebix@instituteforcommongoodtechnology']",6,10,"['baosystems', 'canva', 'flashbots', 'instituteforcommongoodtechnology', 'mojurasu', 'pyupio']","['@Canva', '@Mojurasu ', '@baosystems', '@pyupio', 'Flashbots', 'Institute for Common Good Technology']",,0.0,5,3,69,24,0,3,3,5.0,2.0,90.0,0.4,0,25.25546
+444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,1017,196,48,Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2023-02-18,2011-12-31,581,1.7487103905674282,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",2023-02-10,66,"['QuLogic', 'geowurster', 'lordi', 'micahcochran', 'mwtoews@gnsscience', 'perrygeo', 'rbuffat', 'sgillies@planetlabs', 'snorfalorpagus', 'snowman2@corteva']",3,10,"['corteva', 'gnsscience', 'planetlabs']","['@corteva ', '@planetlabs', 'GNS Science']",,1.56,110,89,136,0,8,10,8,110.0,126.0,90.0,1.1,0,45.21246
+950,web,https://github.com/awtkns/fastapi-crudrouter,,,,awtkns/fastapi-crudrouter,fastapi-crudrouter,1017,121,12,Python,https://fastapi-crudrouter.awtkns.com,fastapi-crudrouter: A dynamic FastAPI router that automatically creates CRUD routes for your models,awtkns,2023-02-21,2020-12-19,113,8.954716981132075,"['fastapi', 'code-generation', 'crud', 'api', 'swagger-ui', 'redoc', 'fastapi-crudrouter', 'crud-routes', 'rest', 'web', 'python', 'python3', 'sql', 'framework', 'async', 'asyncio', 'openapi-route', 'openapi']",2023-01-28,21,"['DorskFR', 'agallant', 'andreipopovici', 'andrewthetechie', 'awtkns@article', 'collerek@kaizentech', 'dclimber', 'jm-moreau@anjuna', 'sondrelg@otovosnok', 'turalpb']",4,10,"['anjuna', 'article', 'kaizentech', 'otovosnok']","['@otovo @snok', 'Anjuna', 'Article', 'KaizenTech']",,0.75,19,7,26,1,1,4,1,19.0,21.0,90.0,1.1,0,31.66345
+707,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,1015,93,254,Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2023-02-21,2018-01-31,264,3.8446969696969697,[],2021-01-05,4,"['ReblochonMasque', 'brandon-rhodes', 'donkirkby@bccentreforexcellenceinhiv/aids', 'ethmcc']",1,10,['bccentreforexcellenceinhiv/aids'],['BC Centre for Excellence in HIV/AIDS'],,0.0,0,0,62,26,0,0,0,0.0,0.0,90.0,0.0,0,9.92539
+406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,1009,82,10,Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2023-02-21,2012-10-04,541,1.8621144213023992,[],2022-07-24,29,"['Pankrat@ableton', 'benjyw@toolchain', 'cjwatson', 'deemoowoor@finceptiv', 'dsuch@zatosource', 'gbtami', 'jwilk', 'mrJean1', 'thedrow', 'tirkarthi@visa']",5,10,"['ableton', 'finceptiv', 'toolchain', 'visa', 'zatosource']","['@finceptiv ', '@zatosource', 'Ableton', 'Toolchain', 'Visa Inc.']",,0.08,4,1,126,7,0,2,2,4.0,5.0,90.0,1.2,0,31.87793
+728,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,1006,260,64,Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2023-02-20,2014-03-04,468,2.1489166920964298,[],2023-02-02,42,"['GeospatialPython@geospatialpython.com', 'ignamv', 'jmoujaes', 'karimbahgat', 'megies', 'micahcochran', 'mwtoews@gnsscience', 'pemn@valesa', 'riggsd@nationalparkservice', 'sebastic']",4,10,"['geospatialpython.com', 'gnsscience', 'nationalparkservice', 'valesa']","['@nationalparkservice ', 'GNS Science', 'GeospatialPython.com', 'Vale SA']",,0.37,4,0,109,1,2,2,2,4.0,5.0,90.0,1.2,0,35.0712
+598,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,1002,113,22,Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2023-02-19,2020-01-07,163,6.141856392294221,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",2021-03-15,5,"['agrimrules@litesgroup', 'calio', 'danilopeixoto@delltechnologies', 'jimjag', 'rongou@nvidia']",3,10,"['delltechnologies', 'litesgroup', 'nvidia']","['@LitesGroup ', '@NVIDIA', 'Dell Technologies']",,0.0,3,0,38,24,0,1,1,3.0,2.0,90.0,0.7,0,17.28826
+614,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,997,68,17,Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2023-02-16,2013-06-25,504,1.9776140549730803,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",2022-12-11,45,"['GuillaumeFavelier@inria', 'Teemu@wolt', 'blueyed@freelancer,upforhire', 'emlove@homechef', 'graingert', 'jpvanhal@falcony-io', 'justinmayer', 'msabramo@adobe', 'or', 'thedrow']",6,10,"['adobe', 'falcony-io', 'freelancer,upforhire', 'homechef', 'inria', 'wolt']","['@adobe', '@falcony-io', '@homechef', 'Freelancer, up for hire', 'INRIA', 'Wolt']",,0.81,8,4,118,2,0,1,1,8.0,18.0,90.0,2.2,0,38.96457
+739,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,995,42,21,Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2023-02-19,2019-02-09,210,4.725237449118046,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",2022-11-16,10,"['bakera81', 'breichholf', 'dependabot[bot]', 'isabelizimm@rstudio', 'ismayc@flatiron-school', 'kianmeng', 'kirillseva', 'machow@rstudio', 'sethvargo@google', 'tmastny']",3,10,"['flatiron-school', 'google', 'rstudio']","['@Google', '@flatiron-school', '@rstudio']",,2.79,12,2,49,3,10,9,10,12.0,20.0,90.0,1.7,0,32.915
+740,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,974,101,19,Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2023-02-19,2019-01-21,213,4.566644340254521,"['scikit-learn', 'machine-learning', 'common-sense']",2022-12-21,56,"['Garve', 'MBrouns@xcceleratedpydataamsterdam', 'Pverheijen@hollandstartup', 'arthurpaulino@yatimainc', 'daimonie', 'koaning@explosion', 'ktiamur', 'maxibor@maxplanckinstituteforevolutionaryanthropology', 'pim-hoeven', 'stephanecollot@m-gate']",6,10,"['explosion', 'hollandstartup', 'm-gate', 'maxplanckinstituteforevolutionaryanthropology', 'xcceleratedpydataamsterdam', 'yatimainc']","['@Xccelerated @PyDataAmsterdam ', '@explosion', 'Holland Startup', 'M-GaTE', 'Max Planck institute for Evolutionary Anthropology', 'Yatima Inc']",,0.5,8,4,50,2,5,8,5,8.0,32.0,90.0,4.0,0,41.01292
+631,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,972,135,28,Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2023-02-20,2013-05-11,510,1.9037493005036374,['python'],2023-02-18,31,"['alex', 'bsoyka', 'chris-erickson', 'dependabot[bot]', 'dstufft@datadog', 'jazzyb', 'jdufresne@pioneervalleybooks', 'odidev@puresoftware', 'reaperhulk', 'webknjaz@ansiblecoreredhatofficial']",4,10,"['ansiblecoreredhatofficial', 'datadog', 'pioneervalleybooks', 'puresoftware']","['@Ansible Core @ @RedHatOfficial', '@DataDog', 'Pioneer Valley Books', 'Puresoftware']",,3.31,56,56,119,0,0,2,2,56.0,21.0,90.0,0.4,0,40.6756
+482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,971,280,48,Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2023-02-20,2018-05-31,246,3.933449074074074,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",2023-01-24,50,"['AleksMat@google', 'andrejburja', 'batic@sinergise', 'devisperessutti@sinergisesentinel-hub', 'iovsn', 'lojzezust', 'mlubej@eoresearchteamsinergise', 'tomislijepcevic', 'wouellette@https://soilwatch.eu', 'zigaLuksic@sinergise']",5,10,"['eoresearchteamsinergise', 'google', 'https://soilwatch.eu', 'sinergise', 'sinergisesentinel-hub']","['@sinergise ', '@sinergise @sentinel-hub ', 'EO Research Team @ Sinergise', 'Google', 'Sinergise', 'https://soilwatch.eu']",,3.96,70,61,58,1,10,8,10,70.0,60.0,90.0,0.9,0,43.4794
+379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,966,85,17,Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2023-02-20,2020-05-27,143,6.755244755244755,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",2023-01-14,7,"['Voyz', 'cdpierse@quantcopy', 'cwenner@mavenoid;omnimodular', 'dependabot[bot]', 'lalitpagaria@oraikatechnologies', 'pabvald@dfki/universitätdessaarlandes', 'rinapch@exhuman-ai']",5,10,"['dfki/universitätdessaarlandes', 'exhuman-ai', 'mavenoid;omnimodular', 'oraikatechnologies', 'quantcopy']","['@exhuman-ai ', '@quantcopy', 'DFKI / Universität des Saarlandes', 'Mavenoid; OmniModular', 'Oraika Technologies']",,0.85,10,1,33,1,4,4,4,10.0,16.0,90.0,1.6,0,31.59486
+271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,962,257,33,Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2023-02-19,2018-08-24,234,4.098600121728546,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",2022-10-26,14,"['EmperorMew@snowcone', 'gkrasulya', 'glints', 'hmallen', 'man-c', 'mfiro', 'nejcb1', 'scrambldchannel', 'trevisanj', 'tsifrer']",1,10,['snowcone'],['Snowcone '],,0.29,3,2,55,4,0,4,4,3.0,3.0,90.0,1.0,0,24.77178
+980,ml,https://github.com/google/vizier,,,,google/vizier,vizier,949,44,20,Python,https://oss-vizier.readthedocs.io,"vizier: Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.",google,2023-02-21,2022-02-16,53,17.90566037735849,"['vizier', 'hyperparameter-optimization', 'tuning', 'tuning-parameters', 'blackbox-optimization', 'hyperparameter-tuning', 'bayesian-optimization', 'evolutionary-algorithms', 'distributed-systems', 'distributed-computing', 'grpc', 'open-source', 'google', 'algorithm', 'deep-learning', 'machine-learning', 'optimization']",2023-02-16,15,"['Ark-kun@google', 'SetarehAr@northeasternuniversity', 'belenkil', 'chansoo-google', 'daiyip', 'emilyfertig', 'qiuyiz@google', 'rchen152', 'sagipe', 'xingyousong@googlebrain']",3,10,"['google', 'googlebrain', 'northeasternuniversity']","['@google', 'Google', 'Google Brain', 'Northeastern University']",,8.88,187,173,12,0,19,20,19,187.0,42.0,90.0,0.2,0,37.95323
+820,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,949,202,21,JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2023-02-19,2018-09-21,230,4.113312693498452,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",2023-02-17,29,"['AnnMarieW@nostarchpress-thebookofdash', 'acroz@facultyai', 'ann-marie-ward', 'dependabot[bot]', 'glsdown', 'pbugnion@facultyai', 'romainmartinez@universitédemontréal', 'shwinnn', 'srstevenson', 'tcbegley@facebook']",4,10,"['facebook', 'facultyai', 'nostarchpress-thebookofdash', 'universitédemontréal']","['@facebook', '@facultyai', '@facultyai ', 'No Starch Press - The Book of Dash', 'Université de Montréal']",,1.52,56,52,54,0,15,33,15,56.0,33.0,90.0,0.6,0,41.17363
+236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,945,194,46,Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2023-02-21,2020-07-02,137,6.8549222797927465,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",2022-05-09,8,"['NoSoyTuMadre@capgemini&threescoopstransport', 'alextrott16', 'dependabot[bot]', 'sunil-s@salesforceresearch', 'svc-scm', 'tljstewart@apple']",3,10,"['apple', 'capgemini&threescoopstransport', 'salesforceresearch']","['Apple Inc.', 'Capgemini & Three Scoops Transport, LLC', 'Salesforce Research']",,0.12,2,0,32,10,0,0,0,2.0,0.0,90.0,0.0,0,16.51814
+402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,945,38,15,Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2023-02-21,2022-01-04,59,15.978260869565217,"['python', 'async', 'asyncio', 'trio', 'anyio']",2023-02-21,10,"['JonasKs@snok,intility', 'Kludex@encode', 'dependabot[bot]', 'michaeloliverx@resgroup', 'pre-commit-ci[bot]', 'sanders41@ethyca', 'tiangolo', 'vrslev', 'windson']",4,10,"['encode', 'ethyca', 'resgroup', 'snok,intility']","['@encode', '@ethyca', '@resgroup', '@snok, @intility']",,1.19,14,8,14,0,1,2,1,14.0,24.0,90.0,1.7,0,31.33805
+633,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,944,219,27,C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2023-02-15,2013-02-22,521,1.809419496166484,"['cryptography', 'libsodium', 'nacl', 'python']",2023-01-19,64,"['Ayrx', 'DMRobertson@vector-im', 'JackWink', 'alex', 'davidfischer', 'dependabot[bot]', 'dstufft@datadog', 'lmctv', 'reaperhulk', 'warner']",2,10,"['datadog', 'vector-im']","['@DataDog', '@vector-im']",,0.37,13,10,122,1,0,2,2,13.0,10.0,90.0,0.8,0,35.45584
+962,util,https://github.com/fabiocaccamo/python-benedict,,,,fabiocaccamo/python-benedict,python-benedict,940,41,12,Python,,"python-benedict: :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.",fabiocaccamo,2023-02-21,2019-05-17,196,4.7785039941902685,"['python', 'dict', 'dictionary', 'keypath', 'base64', 'csv', 'json', 'pickle', 'plist', 'query-string', 'toml', 'xml', 'yaml', 'encode', 'decode', 'filter', 'flatten', 'subset', 'traverse', 'xls']",2023-02-21,5,"['dependabot[bot]', 'fabiocaccamo@blackfoundry', 'github-actions[bot]', ""neutrinoceros@institutdeplanétologieetd'astrophysiquedegrenoble(ipag)"", 'pre-commit-ci[bot]']",2,10,"['blackfoundry', ""institutdeplanétologieetd'astrophysiquedegrenoble(ipag)""]","['Black Foundry', ""Institut de Planétologie et d'Astrophysique de Grenoble (IPAG)""]",,3.88,111,107,46,0,11,14,11,111.0,110.0,90.0,1.0,0,36.35259
+541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,937,137,9,Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2023-02-21,2019-01-02,216,4.337962962962963,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",2022-12-21,58,"['BurntSushi@salesforce', 'Hibou57', 'aomader', 'cortesi', 'dhimmel@related-sciences', 'jvantuyl', 'kchmck', 'kernc', 'knadh@zerodha', 'mhils']",3,10,"['related-sciences', 'salesforce', 'zerodha']","['@related-sciences', '@salesforce', 'Zerodha']",,0.1,9,3,50,2,0,12,12,9.0,6.0,90.0,0.7,0,34.55542
+935,nlp,https://github.com/jonasgeiping/cramming,,,,jonasgeiping/cramming,cramming,935,60,18,Python,,Cramming the training of a (BERT-type) language model into limited compute.,jonasgeiping,2023-02-21,2022-12-29,7,119.0,"['english-language', 'language-model', 'machine-learning']",2023-02-19,3,"['JonasGeiping@computerscienceatumd', 'ss18@kpn', 'w32zhong']",2,10,"['computerscienceatumd', 'kpn']","['@kpn', 'Computer Science at UMD']",,0.5,12,10,2,0,0,0,0,12.0,33.0,90.0,2.8,0,21.69742
+504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,928,168,38,Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2023-02-18,2018-12-16,218,4.248528449967299,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",2023-02-16,30,"['JaviBecerra@panoimagen', 'Robinlovelace@universityofleeds', 'anitagraser', 'astrojuanlu@kedro-org', 'boiko', 'giorgostheo', 'gprichter', 'parnelandr', 'raybellwaves@dtn', 'sglvladi@universityofliverpool']",5,10,"['dtn', 'kedro-org', 'panoimagen', 'universityofleeds', 'universityofliverpool']","['@PANOimagen ', '@kedro-org', 'DTN', 'University of Leeds', 'University of Liverpool']",,2.13,35,23,51,0,6,3,6,35.0,49.0,90.0,1.4,0,41.7708
+468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,925,133,41,Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2023-02-20,2021-07-20,83,11.125429553264604,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",2023-02-21,52,"['JingyaHuang@huggingface', 'echarlaix@huggingface', 'fxmarty@huggingface', 'lewtun@huggingface', 'madlag', 'mfuntowicz@huggingface', 'mht-sharma', 'michaelbenayoun@huggingface', 'regisss', 'younesbelkada@ensparissaclay']",2,10,"['ensparissaclay', 'huggingface']","['@huggingface', '@huggingface ', 'ENS Paris Saclay', 'Hugging Face']",,8.19,340,262,19,0,18,15,18,342.0,947.0,90.0,2.8,0,46.27999
+251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,923,90,31,Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2023-02-16,2020-06-15,140,6.579429735234216,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",2023-01-16,23,"['DominikSchmidtqq@google', 'abhisharsinha@indianinstituteoftechnologyhyderabad', 'adammichaelwood@google', 'dependabot[bot]', 'ebursztein@google', 'hanneshapke@digits', 'jamlong@google', 'owenvallis@google', 'shun-lin@google', 'yonigottesman']",3,10,"['digits', 'google', 'indianinstituteoftechnologyhyderabad']","['@digits ', '@google', '@google ', 'Google', 'Indian Institute of Technology Hyderabad']",,0.71,17,10,33,1,1,1,1,17.0,33.0,90.0,1.9,0,32.85191
+387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,919,148,17,Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2023-02-19,2014-06-18,453,2.0286975717439293,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",2022-07-08,46,"['GuillemGSubies', 'LKirst', 'MKaras93', 'alonsoC1s', 'alxwrd@tessian', 'cclauss@christianclauss', 'hugovk@nordsoftware', 'lukaschoebel', 'massvoice', 'shivam5992']",3,10,"['christianclauss', 'nordsoftware', 'tessian']","['@Tessian', 'Christian Clauss', 'Nord Software']",,0.1,1,0,106,8,1,2,1,1.0,2.0,90.0,2.0,0,30.05037
+750,data,https://github.com/pytorch/data,,,,pytorch/data,data,916,111,26,Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2023-02-18,2021-05-12,93,9.849462365591398,[],2023-02-17,66,"['DanilBaibak', 'NivekT', 'VitalyFedyunin', 'dahsh', 'ejguan@facebook', 'gaikwadabhishek', 'msaroufim@pytorch', 'ninginthecloud@universityofwashington/facebook', 'pmeier@quansight', 'ydaiming']",4,10,"['facebook', 'pytorch', 'quansight', 'universityofwashington/facebook']","['@PyTorch', '@Quansight ', '@facebook', 'University of Washington/ Facebook']",,6.37,183,134,22,0,5,7,5,183.0,505.0,90.0,2.8,0,46.45688
+219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,914,92,6,Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2023-02-20,2020-04-15,149,6.134228187919463,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",2022-05-18,13,"['ChenghaoMou@docusign', 'Dectinc@evision', 'N720720', 'TezRomacH', 'abassel', 'dependabot-preview[bot]', 'dependabot[bot]', 'hexfaker', 'pksol', 'volemont']",2,10,"['docusign', 'evision']","['Docusign', 'eVision']",,0.02,108,75,35,9,0,8,8,108.0,77.0,90.0,0.7,0,28.26058
+88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,909,182,28,Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2023-02-20,2017-11-01,277,3.2815884476534296,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",2023-02-16,57,"['Birne94@zalando', 'WhileLoop@opensourceart', 'benhowes', 'bitdivision', 'cetanu@atlassian', 'dependabot[bot]', 'imkaka@yellowmessengerprev-vogolabs', 'mbfr@forgerock', 'michaelboulton', 'tommilligan@reinfer,acquiredbyuipath']",6,10,"['atlassian', 'forgerock', 'opensourceart', 'reinfer,acquiredbyuipath', 'yellowmessengerprev-vogolabs', 'zalando']","['@Atlassian', '@OpenSourceArt', '@Zalando', '@reinfer, acquired by @UiPath', '@yellowmessenger Prev - @vogolabs', 'Forgerock']",,1.63,46,38,65,0,0,37,37,46.0,41.0,90.0,0.9,0,46.48366
+622,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,906,67,23,Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2023-02-21,2014-04-04,463,1.9537892791127542,[],2022-12-19,20,"['cpcloud@voltrondata', 'dependabot[bot]', 'eriknw', 'groutr@lynkertechnologies', 'hmaarrfk@californiainstituteoftechnology', 'jcrist@voltrondata', 'larsmans', 'llllllllll@formerlyquantopian', 'mrocklin@coiled', 'pitrou']",5,10,"['californiainstituteoftechnology', 'coiled', 'formerlyquantopian', 'lynkertechnologies', 'voltrondata']","['@coiled ', '@voltrondata', 'California Institute of Technology', 'Lynker Technologies', 'formerly @quantopian']",,0.56,9,7,108,2,2,2,2,9.0,11.0,90.0,1.2,0,35.10481
+891,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,905,14,8,Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2023-02-20,2022-10-07,19,45.905797101449274,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",2023-01-27,1,['xl0'],0,10,[],[],,1.88,12,11,5,1,0,41,41,12.0,70.0,90.0,5.8,0,23.915
+672,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,899,21,83,,,faster-cpython: How to make CPython faster.,markshannon,2023-02-20,2020-10-19,122,7.3516355140186915,[],2020-10-28,4,"['brettcannon@microsoft', 'ericvsmith', 'markshannon', 'yasoob@colgateuniversity']",2,10,"['colgateuniversity', 'microsoft']","['@microsoft ', 'Colgate University']",,0.0,0,0,28,28,0,0,0,0.0,0.0,90.0,0.0,0,9.83617
+204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,899,31,17,Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2023-02-20,2019-05-13,197,4.556842867487328,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",2022-12-22,22,"['alexbers', 'alexmojaki', 'bittner@painless-software', 'cool-RR', 'czietz', 'danr@pharmbio', 'gpshead@google', 'marksmayo@teremtech', 'pohmelie@aratar.tech', 'volpatto@esss']",6,10,"['aratar.tech', 'esss', 'google', 'painless-software', 'pharmbio', 'teremtech']","['@ESSS', '@TeremTech ', '@painless-software ', '@pharmbio ', 'Google', 'aratar.tech']",,0.17,11,3,46,2,0,1,1,11.0,18.0,90.0,1.6,0,33.19135
+630,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,896,260,31,Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2023-02-20,2016-02-09,367,2.440466926070039,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",2023-02-21,135,"['adybbroe@smhi', 'ameraner@eumetsat', 'djhoese@spacescienceandengineeringcenter(ssec)', 'gerritholl@deutscherwetterdienst', 'joleenf@cooperativeinstituteformeteorologicalsatellitestudies/spacescienceandengineeringcenter', 'mraspaud@smhi', 'pnuu', 'sfinkens@dwd', 'simonrp84@nationalcentreforearthobservation', 'strandgren']",7,10,"['cooperativeinstituteformeteorologicalsatellitestudies/spacescienceandengineeringcenter', 'deutscherwetterdienst', 'dwd', 'eumetsat', 'nationalcentreforearthobservation', 'smhi', 'spacescienceandengineeringcenter(ssec)']","['Cooperative Institute for Meteorological Satellite Studies/Space Science and Engineering Center', 'DWD', 'Deutscher Wetterdienst', 'EUMETSAT', 'National Centre for Earth Observation', 'SMHI', 'Space Science and Engineering Center (@ssec)']",,22.65,160,117,86,0,7,11,7,160.0,646.0,90.0,4.0,0,57.4605
+700,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,892,145,26,Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2023-02-20,2018-08-07,237,3.76144578313253,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",2023-02-16,66,"['Alexander-Makaryev', 'Alexsandruss@intel', 'OnlyDeniko', 'Pahandrovich', 'PetrovKP@intel', 'fschlimb@intel', 'napetrov@intel', 'oleksandr-pavlyk@intelcorporation', 'owerbat', 'renovate[bot]']",2,10,"['intel', 'intelcorporation']","['@intel', '@intel ', 'Intel', 'Intel Corporation']",,1.87,204,172,55,0,2,5,2,204.0,224.0,90.0,1.1,0,41.01989
+291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,890,44,19,Python,https://hamilton-docs.gitbook.io/docs/,"hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.",stitchfix,2023-02-21,2020-05-26,143,6.217564870259481,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",2023-02-20,19,"['bovem@redhat', 'chmp', 'datarshreya', 'elijahbenizzy@stitchfix', 'frenchfrywpepper', 'ivirshup@helmholtzmunich', 'jameslamb@spothero', 'rinsoft-sf@stitchfix', 'shellyjang', 'skrawcz']",4,10,"['helmholtzmunich', 'redhat', 'spothero', 'stitchfix']","['@spothero', 'Helmholtz Munich', 'Red Hat', 'Stitch Fix']",,6.12,99,76,33,0,16,7,16,99.0,177.0,90.0,1.8,0,43.77127
+341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,889,67,23,Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2023-02-17,2014-03-01,468,1.8972560975609756,"['terminal', 'curses', 'cli']",2023-02-04,25,"['avylove', 'croepha', 'dlax@dalibo', 'erikrose@mozillagoogle', 'fishermans-friend', 'jquast', 'jwezel', 'msabramo@adobe', 'thomasballinger', 'vitek']",3,10,"['adobe', 'dalibo', 'mozillagoogle']","['@adobe', '@dalibo', '@mozilla @google']",,0.23,11,9,109,1,1,6,1,11.0,18.0,90.0,1.6,0,34.58303
+392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,876,95,31,Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2023-02-20,2019-05-29,195,4.492307692307692,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",2022-09-27,4,"['FlorianWetschoreck@bamboolib', 'fwetdb@databricks', 'susmitpy', 'tkrabel@8080labs']",3,10,"['8080labs', 'bamboolib', 'databricks']","['@8080labs', '@databricks ', 'bamboolib']",,0.19,0,0,45,5,0,0,0,0.0,0.0,90.0,0.0,0,16.54058
+697,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,870,255,24,Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2023-02-20,2014-12-02,429,2.0272969374167777,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",2023-01-16,42,"['1ucian0', 'OrganicIrradiation', 'TomBrien@cardiffuniversity', 'arunkannawadi@princetonuniversity', 'bielsnohr@ukaea', 'ipeirotis@newyorkuniversity', 'programize-admin', 'silvavn@universityofalberta', 'stefanct', 'waynehuu']",5,10,"['cardiffuniversity', 'newyorkuniversity', 'princetonuniversity', 'ukaea', 'universityofalberta']","[' New York University', '@ukaea', 'Cardiff University', 'Princeton University', 'University of Alberta']",,1.88,33,28,100,1,17,8,17,33.0,68.0,90.0,2.1,0,45.32403
+712,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,868,146,22,Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2023-02-18,2021-05-12,93,9.333333333333334,[],2023-01-17,12,"['ClaireXie', 'YknZhu@google', 'aquariusjay', 'csrhddlam@johnshopkinsuniversity', 'davidblom603@shell', 'joe-siyuan-qiao@johnshopkinsuniversity', 'markweberdev', 'meijieru@johnshopkinsuniversityccvl', 'yuanliangzhe', 'yucornetto@johnshopkinsuniversity']",4,10,"['google', 'johnshopkinsuniversity', 'johnshopkinsuniversityccvl', 'shell']","['Google', 'Johns Hopkins University', 'Johns Hopkins University @ccvl', 'Shell']",,0.79,10,4,22,1,0,0,0,10.0,15.0,90.0,1.5,0,28.62047
+628,data,https://github.com/intake/intake,,,,intake/intake,intake,868,125,41,Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2023-02-18,2017-08-14,288,3.010901883052527,"['python', 'data-access', 'data-catalog']",2023-02-15,79,"['CJ-Wright', 'bryevdv@nvidia', 'danielballan@brookhavennationallab', 'gwbischof@nsls-ii', 'ian-r-rose@coiled', 'jbcrail', 'jsignell@azavea', 'martindurant@anaconda', 'philippjfr@anaconda', 'seibert']",6,10,"['anaconda', 'azavea', 'brookhavennationallab', 'coiled', 'nsls-ii', 'nvidia']","['@NSLS-II ', '@azavea', '@coiled ', 'Anaconda Inc.', 'Anaconda, inc.', 'Brookhaven National Lab', 'Nvidia']",,0.85,15,12,67,0,0,7,7,15.0,42.0,90.0,2.8,0,46.11345
+347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,863,69,27,Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2023-02-13,2021-03-16,101,8.532485875706215,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",2022-11-08,11,"['aliaksah@universityofoslo', 'jerbarnes@universityofthebasquecountryupv/ehu', 'lidiexy-palinode@palinode', 'marioangst@universityofzurich,digitalsocietyinitiative', 'plison@norwegiancomputingcentre', 'ruanchaves', 'udayankumar']",5,10,"['norwegiancomputingcentre', 'palinode', 'universityofoslo', 'universityofthebasquecountryupv/ehu', 'universityofzurich,digitalsocietyinitiative']","['Norwegian Computing Centre', 'Palinode', 'University of Oslo', 'University of Zurich, Digital Society Initiative', 'University of the Basque Country UPV/EHU']",,0.35,2,1,24,4,1,1,1,2.0,0.0,90.0,0.0,0,22.58919
+351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,857,48,24,Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2023-02-21,2021-08-11,80,10.7125,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",2023-02-15,32,"['LMMilliken', 'azayz@jinaai', 'bwanglzu@jina-ai', 'gmastrapas@jinaai', 'guenthermi@jinaai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'jupyterjazz@jina-ai', 'nomagick@jina-ai', 'scott-martens@jina-ai']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', '@jina-ai ', 'Jina AI']",,4.23,68,62,19,0,12,21,12,68.0,159.0,90.0,2.3,0,40.64492
+445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,856,190,30,Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2023-02-18,2014-12-29,425,2.012764528048371,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",2023-01-20,58,"['cjmayo', 'dependabot[bot]', 'greglucas@lasp/lasp/swxtrec', 'idanmiara@viatransportation', 'jdkloe@knmi', 'jorisvandenbossche', 'jswhit', 'micahcochran', 'paultcochrane', 'snowman2@corteva']",4,10,"['corteva', 'knmi', 'lasp/lasp/swxtrec', 'viatransportation']","['@corteva ', 'KNMI', 'LASP / @lasp / @SWxTREC', 'Via Transportation']",,3.0,63,52,99,1,7,7,7,63.0,135.0,90.0,2.1,0,45.24434
+484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,847,229,59,Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2023-02-15,2015-05-22,404,2.0928344511118957,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",2022-11-03,42,"['avalentino', 'gbaier', 'j08lue@developmentseed', 'kr-stn', 'lucadelu@fondazioneedmundmach', 'sdf94', 'thomasyoung-audet@deloitte', 'valgur@milremrobotics', 'viktorbahr', 'willemarcel@developmentseed']",4,10,"['deloitte', 'developmentseed', 'fondazioneedmundmach', 'milremrobotics']","['@developmentseed ', 'Deloitte', 'Development Seed', 'Fondazione Edmund Mach', 'Milrem Robotics']",,0.13,8,2,94,4,0,3,3,8.0,23.0,90.0,2.9,0,36.24327
+887,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,846,454,76,Python,,pyscf: Python module for quantum chemistry,pyscf,2023-02-21,2014-05-02,459,1.8402734617775016,[],2023-02-07,141,"['Samragni-93@theohiostateuniversity', 'fishjojo', 'jdmcclain47', 'kovalp@simuneatomisticss.l.', ""obackhouse@king'scollege,london"", 'pulkin', 'ssh2', 'sunqm', 'tberkel@columbiauniversityandflatironinstitute', 'xwang862']",4,10,"['columbiauniversityandflatironinstitute', ""king'scollege,london"", 'simuneatomisticss.l.', 'theohiostateuniversity']","['Columbia University and Flatiron Institute', ""King's College, London"", 'Simune Atomistics S.L.', 'The Ohio State University']",,5.35,122,69,107,1,2,8,2,122.0,222.0,90.0,1.8,0,47.10729
+639,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,838,237,41,Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2023-02-21,2017-06-15,296,2.8229066410009627,['hacktoberfest'],2023-02-10,77,"['TomAugspurger@microsoft', 'abduhbm', 'jameslamb@spothero', 'jcrist@voltrondata', 'jrbourbeau@coiled', 'mmccarty@nvidia', 'mrocklin@coiled', 'raybellwaves@dtn', 'stsievert', 'thomasjpfan@quansight-labs']",7,10,"['coiled', 'dtn', 'microsoft', 'nvidia', 'quansight-labs', 'spothero', 'voltrondata']","['@Quansight-Labs ', '@coiled ', '@microsoft', '@spothero', '@voltrondata', 'DTN', 'NVIDIA']",,0.25,20,7,69,0,1,6,1,20.0,29.0,90.0,1.4,0,41.53054
+395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,827,62,31,Python,,emmett: The web framework for inventors,emmett-framework,2023-02-20,2014-10-20,435,1.8999015425008206,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",2023-01-30,22,"['GiantCrocodile', 'Leon0824', 'bronte2k7', 'cassiobotaro', 'gi0baro', 'ianonavy', 'lethargilistic@lawstudent', 'mijdavis2@praxiskit', 'vanadium23@ostrovok.ru', 'waghanza@cashbee-team']",4,10,"['cashbee-team', 'lawstudent', 'ostrovok.ru', 'praxiskit']","['@cashbee-team', '@praxiskit ', 'Law Student', 'Ostrovok.ru']",,0.9,5,5,102,1,11,13,11,5.0,4.0,90.0,0.8,0,36.72439
+926,study,https://github.com/roboflow/notebooks,,,,roboflow/notebooks,notebooks,805,125,22,Jupyter Notebook,https://roboflow.com/models,notebooks: Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.,roboflow,2023-02-21,2022-11-18,13,58.697916666666664,"['computer-vision', 'deep-learning', 'deep-neural-networks', 'image-classification', 'image-segmentation', 'object-detection', 'yolov5', 'yolov6', 'yolov7', 'pytorch', 'tutorial', 'amazon-sagemaker-lab', 'kaggle', 'yolov8', 'google-colab', 'machine-learning']",2023-02-14,9,"['FrancescoSaverioZuppichini@roboflow', 'Jacobsolawetz@roboflow.com', 'SkalskiP@roboflow', 'capjamesg@roboflow', 'hansent', 'mmcquade11', 'partheee@spritle']",3,10,"['roboflow', 'roboflow.com', 'spritle']","['@Roboflow', '@roboflow', 'Spritle', 'roboflow', 'roboflow.com']",,2.52,52,48,3,0,1,4,1,52.0,157.0,90.0,3.0,0,31.25547
+850,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,804,95,22,Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2023-02-21,2012-02-20,574,1.4,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",2023-02-02,42,"['NiltonVolpato@google', 'Zannick', 'joe-antognini@whisper', 'matthewwardrop@datascientistatnetflix', 'paulo-raca', 'ritze', 'stuertz@cslab', 'takluyver', 'terencehonles', 'wolph']",4,10,"['cslab', 'datascientistatnetflix', 'google', 'whisper']","['@cslab', 'Data Scientist at @Netflix', 'Google', 'Whisper']",,1.1,5,1,134,1,3,9,3,5.0,7.0,90.0,1.4,0,37.51963
+738,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,802,11,4,Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2023-02-20,2022-03-09,50,16.04,"['python', 'pointers', 'python-pointers']",2023-02-14,8,"['2231puppy', '5HT2', 'UltraStudioLTD', 'ZeroIntensity', 'bswck', 'joshua-auchincloss@royalbankofcanada', 'shenanigansd', 'shenjackyuanjie@china']",2,10,"['china', 'royalbankofcanada']","['China', 'Royal Bank of Canada']",,3.48,4,3,12,0,8,8,8,4.0,11.0,90.0,2.8,0,31.96097
+490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,795,151,48,Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2023-02-17,2010-01-31,681,1.1666666666666667,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",2022-11-14,32,"['cgohlke', 'jakirkham', 'langner@google', 'lstolcman', 'luispedro@fudanuniversity', 'meawoppl@theexclosure', 'michaelaye@lasp', 'mindw', 'stefanv@universityofcalifornia,berkeley', 'wang1211']",5,10,"['fudanuniversity', 'google', 'lasp', 'theexclosure', 'universityofcalifornia,berkeley']","['Fudan University', 'Google', 'LASP', 'The Exclosure', 'University of California, Berkeley']",,0.15,5,1,159,3,1,4,1,5.0,9.0,90.0,1.8,0,34.3741
+226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,792,79,38,Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2023-01-20,2020-11-02,120,6.584323040380047,[],2023-02-01,43,"['1heart', 'Rebecca-Qian', 'anuragprat1k', 'aszlam', 'exhaustin', 'kavyasrinet@facebookairesearch', 'lshamis', 'snyxan@facebookairesearch', 'soumith@facebookairesearch', 'zephirefaith@facebookresearch']",2,10,"['facebookairesearch', 'facebookresearch']","['@facebookresearch ', 'Facebook AI Research']",,8.12,23,9,28,1,0,0,0,23.0,31.0,90.0,1.3,0,33.48744
+908,viz,https://github.com/datapane/datapane,,,,datapane/datapane,datapane,782,64,16,Python,https://datapane.com,Datapane is the easiest way to create data science reports from Python.,datapane,2023-02-20,2020-04-23,147,5.288888888888889,"['dashboard', 'reporting', 'data-visualization', 'python', 'hacktoberfest']",2023-02-21,11,"['Buroni@datapane', 'antdking@datapane', 'datapane-ci-bot', 'dependabot[bot]', 'lanthias@datapane', 'mallok-s', 'mands@datapane', 'radiac', 'shahinrostami@datasciencelabpolyra', 'spookylukey']",2,10,"['datapane', 'datasciencelabpolyra']","['@Datapane', '@datapane', '@datapane  ', 'Data Science Lab @ Polyra', 'datapane']",,5.56,11,6,34,0,0,18,18,11.0,21.0,90.0,1.9,0,37.01252
+810,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,771,171,98,Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2023-02-21,2015-05-05,407,1.8936842105263159,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",2023-02-09,41,"['2hdddg', 'RagnarW', 'jakewins@tibber', 'martin-neotech@neo4j', 'nigelsmall', 'pontusmelke@neotechnology', 'robsdedude', 'srbaker', 'technige@elastic', 'zhenlineo']",4,10,"['elastic', 'neo4j', 'neotechnology', 'tibber']","['@tibber  ', 'Elastic', 'Neo Technology', 'Neo4j']",,2.77,42,38,95,0,18,14,18,42.0,30.0,90.0,0.7,0,44.31298
+853,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,770,163,34,Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2023-02-19,2017-05-14,301,2.5545023696682465,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",2022-12-13,7,"['amrrs', 'dreadedhamish', 'eliasdabbas@themediasupermarket', 'lgtm-migrator@github', 'pyup-bot@pyupio']",3,10,"['github', 'pyupio', 'themediasupermarket']","['@github', '@pyupio', 'The Media Supermarket']",,1.33,20,17,70,2,0,6,6,20.0,38.0,90.0,1.9,0,33.83792
+658,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,765,82,13,Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2023-02-21,2014-07-30,447,1.7114093959731544,"['python', 'magic-extension', 'jupyter', 'ipython']",2022-09-13,17,"['GreatBahram', 'Hugovdberg@brabantwater', 'askras', 'e9t@upstageai,hkust', 'iamaziz', 'jGaboardi@ornl', 'jamesmyatt@capgeminiengineering', 'pjbull@drivendata', 'proinsias@hospiq', 'rasbt@lightning-ai,universityofwisconsin-madison']",7,10,"['brabantwater', 'capgeminiengineering', 'drivendata', 'hospiq', 'lightning-ai,universityofwisconsin-madison', 'ornl', 'upstageai,hkust']","['@Lightning-AI , University of Wisconsin-Madison', '@UpstageAI, @hkust', '@hospiq ', 'Brabant Water', 'Capgemini Engineering', 'DrivenData', 'ORNL']",,0.06,0,0,104,5,1,2,1,0.0,0.0,90.0,0.0,0,26.54468
+146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,762,228,40,Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2023-02-15,2013-02-11,523,1.4561834561834561,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",2023-02-20,67,"['ChiaraBi', 'Glignos@skribble', 'JavierDelgadoFernandez', 'SamiHiltunen', 'frankois@ibekso', 'jainaman224@codingninjas', 'kaplun@protonmail', 'lnielsen@cern', 'mitsosf', 'slint@cern']",5,10,"['cern', 'codingninjas', 'ibekso', 'protonmail', 'skribble']","['@ProtonMail ', 'CERN', 'Coding Ninjas', 'Ibekso', 'Skribble']",,1.46,409,61,122,0,0,41,41,409.0,58.0,90.0,0.1,0,47.03687
+559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,759,59,16,Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.,vizzuhq,2023-02-18,2022-01-05,59,12.864406779661017,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",2023-02-17,10,"['KleinK0910@vizzu', 'ParkerKain', 'ShruAgarwal', 'csaladenes@denesdata', 'm1lk4', 'nyirog@oneidentity(balabit)', 'petervidos@vizzuhq', 'simzer@vizzuhq', 'sugatoray@universityofwisconsin-milwaukee', 'veghdev']",5,10,"['denesdata', 'oneidentity(balabit)', 'universityofwisconsin-milwaukee', 'vizzu', 'vizzuhq']","['@VizzuHQ', '@denesdata ', '@vizzuhq', 'One Identity (BalaBit)', 'University of Wisconsin - Milwaukee', 'Vizzu']",,7.62,19,11,14,0,13,16,13,19.0,13.0,90.0,0.7,0,36.47319
+334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,757,49,28,Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2023-02-08,2013-04-03,516,1.4670542635658914,"['python', 'monkey-patching']",2022-03-12,15,"['Cologler', 'Jongy', 'Julian', 'adamchainz@django,djangolondon', 'bitdeli-chef@bitdeli', 'clarete', 'lukasgraf@4teamworkag', 'pschanely', 'smola@datadog', 'timgates42@iress']",5,10,"['4teamworkag', 'bitdeli', 'datadog', 'django,djangolondon', 'iress']","['4teamwork AG', '@datadog', '@django, @djangolondon', 'Bitdeli', 'IRESS']",,0.0,0,0,120,16,0,1,1,0.0,0.0,90.0,0.0,0,22.50173
+791,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,754,178,22,Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2023-02-20,2013-10-02,490,1.5387755102040817,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",2023-01-29,17,"['Berserker66@skamrahlitsolutions', 'Norberg', 'anthemion', 'cclauss@christianclauss', 'illume', 'mikhail@google', 'msis@blksail', 'oprypin@google', 'viblo', 'zman97211']",4,10,"['blksail', 'christianclauss', 'google', 'skamrahlitsolutions']","['@google', '@google ', 'Christian Clauss', 'Skamrahl IT Solutions', 'blkSAIL']",,1.35,9,6,114,1,2,3,2,9.0,14.0,90.0,1.6,0,36.2249
+976,sim,https://github.com/a-r-j/graphein,,,,a-r-j/graphein,graphein,751,95,16,Jupyter Notebook,https://graphein.ai/,graphein: Protein Graph Library,a-r-j,2023-02-21,2019-08-28,182,4.126373626373627,"['protein', 'protein-structure', 'deep-learning', 'pytorch', 'graph-neural-networks', 'dgl', 'computational-biology', 'bioinformatics', 'structural-biology', 'protein-data-bank', 'protein-design', 'geometric-deep-learning', 'pytorch-geometric', 'python', 'interactomics', 'interactome', 'rna', 'ppi-networks', 'gene-regulatory-networks', 'drug-discovery']",2023-02-13,21,"['Seanny123@proteinqure', 'a-r-j@universityofcambridge', 'anton-bushuiev', 'cch1999@univeristyofcambridge', 'dependabot-preview[bot]', 'ericmjl', 'kamurani@rewiredbio', 'kexinhuang12345', 'pre-commit-ci[bot]', 'rvinas']",4,10,"['proteinqure', 'rewiredbio', 'univeristyofcambridge', 'universityofcambridge']","['@rewiredbio', 'ProteinQure', 'Univeristy of Cambridge', 'University of Cambridge']",,1.48,43,30,42,0,8,3,8,43.0,106.0,90.0,2.5,0,41.43113
+325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,751,48,20,Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2023-02-20,2021-09-02,76,9.771375464684015,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",2023-02-16,20,"['Elkasitu@redhat', 'JeffreyVdb', 'ameily', 'cooperlees@clc', 'dependabot[bot]', 'di@google', 'redbmk@anthem-ai', 'tetsuo-cpp@trailofbits', 'woodruffw@trailofbits', 'xsc27@digitalr00ts']",6,10,"['anthem-ai', 'clc', 'digitalr00ts', 'google', 'redhat', 'trailofbits']","['@anthem-ai', '@google', '@trailofbits', '@trailofbits ', 'CLC', 'Red Hat', 'digitalr00ts']",,4.19,119,101,18,0,25,30,25,119.0,238.0,90.0,2.0,0,44.96211
+975,gis,https://github.com/microsoft/globalmlbuildingfootprints,,,,microsoft/globalmlbuildingfootprints,GlobalMLBuildingFootprints,747,92,31,Python,,GlobalMLBuildingFootprints: Worldwide building footprints derived from satellite imagery ,microsoft,2023-02-21,2022-04-22,43,17.08823529411765,[],2022-11-16,4,"['andwoi', 'dakotabenjamin@hotosm', 'microsoft-github-operations[bot]', 'microsoftopensource@microsoft']",2,10,"['hotosm', 'microsoft']","['@hotosm ', 'Microsoft']",,0.46,7,1,10,3,0,0,0,6.0,3.0,90.0,0.5,0,16.5975
+634,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,741,40,13,Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2023-02-19,2017-02-04,315,2.348121321865097,"['profiling', 'python', 'heatmap', 'matplotlib']",2021-09-18,5,"['AaronRobson@citrix', 'csurfer@lyft', 'hinnefe2']",2,10,"['citrix', 'lyft']","['@Citrix', 'Lyft']",,0.0,0,0,74,17,0,0,0,0.0,0.0,90.0,0.0,0,13.84075
+419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,733,42,15,Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2023-02-21,2012-05-03,563,1.2999746643020016,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",2023-01-11,21,"['Gilthans@siasol', 'MinchinWeb', 'SethMMorton', 'cpburnz', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'kuraga', 'madphysicist', 'rinslow@dapulse', 'swt2c']",4,10,"['dapulse', 'nordsoftware', 'pioneervalleybooks', 'siasol']","['@DaPulse ', 'Nord Software', 'Pioneer Valley Books', 'Siasol']",,0.23,3,2,132,1,0,5,5,3.0,13.0,90.0,4.3,0,38.84271
+23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,729,152,40,Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2023-02-21,2011-12-07,585,1.2461538461538462,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",2023-01-10,47,"['ariasdereyna', 'asmeurer@quansight', 'casevh', 'certik@gsitechnology', 'fredrik-johansson@inria&institutdemathématiquesdebordeaux', 'klkuhlm', 'paulmasson', 'skirpichev', 'vks', 'warnerjon12']",3,10,"['gsitechnology', 'inria&institutdemathématiquesdebordeaux', 'quansight']","['@Quansight ', 'GSI Technology', 'INRIA & Institut de Mathématiques de Bordeaux']",,0.23,12,5,136,1,0,1,1,12.0,12.0,90.0,1.0,0,35.09977
+701,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,722,21,9,Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2023-02-21,2020-06-18,139,5.162410623084781,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",2023-02-14,6,"['PLNech@algolia', 'bast@uit-noneicnordic', 'dependabot[bot]', 'itamarst', 'pythonspeed@hyphenatedenterprises', 'whalesalad@whalesalad']",4,10,"['algolia', 'hyphenatedenterprises', 'uit-noneicnordic', 'whalesalad']","['@uit-no @neicnordic', 'Algolia', 'Hyphenated Enterprises LLC', 'WHALESALAD']",,3.33,36,25,33,0,13,23,13,36.0,24.0,90.0,0.7,0,36.12388
+621,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,720,96,18,Python,,Parameterized testing with any Python test framework,wolever,2023-02-14,2012-03-10,571,1.2596850787303173,[],2021-01-09,24,"['AlexRiina@klaviyo', 'charlsagente', 'curtissiemens@zillow.com', 'danielbradburn@crunchr', 'duncan-webb', 'ntflc', 'shazow', 'smspillaz', 'ukinau', 'wolever@sheertex']",4,10,"['crunchr', 'klaviyo', 'sheertex', 'zillow.com']","['@crunchr ', '@klaviyo', 'Sheertex', 'Zillow.com']",,0.0,9,0,133,26,0,1,1,9.0,7.0,90.0,0.8,0,25.78955
+358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,719,38,41,Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2023-02-01,2020-05-27,143,5.027972027972028,"['data-documentation', 'data-catalog', 'data-discovery']",2022-10-13,17,"['bachng2017@nttcommunications', 'biomunky', 'cantzakas@vmware', 'dependabot[bot]', 'jhh3000@dataframehq', 'jwodder', 'manuelzander', 'peterthesling@shopify', 'rsyi@dataframe', 'yosupmoon@harvarduniversity']",6,10,"['dataframe', 'dataframehq', 'harvarduniversity', 'nttcommunications', 'shopify', 'vmware']","['@dataframehq', '@vmware', 'Dataframe', 'Harvard University', 'NTT Communications', 'Shopify']",,0.13,5,2,33,4,0,10,10,5.0,1.0,90.0,0.2,0,29.49195
+477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,716,80,23,Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2023-02-21,2018-03-19,257,2.782898389783454,"['holoviz', 'holoviews', 'plotting', 'datashader']",2023-02-10,39,"['Hoxbro', 'MarcSkovMadsen@data,modelsandanalytics', 'MridulS', 'ahuang11@prefect!', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'data,modelsandanalytics', 'prefect!']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Data, models and analytics', 'Prefect!']",,2.04,139,23,60,0,3,22,3,139.0,98.0,90.0,0.7,0,40.39827
+593,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,710,395,60,Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2023-02-20,2011-02-19,626,1.1331509347925217,"['gis', 'maps', 'plots']",2022-11-29,69,"['DWesl', 'WeatherGod@atmosphericandenvironmentalresearch', 'efiring@universityofhawaii', 'guziy@eccc', 'j08lue@developmentseed', 'joferkington@planetlabs', 'jswhit', 'micahcochran', 'molinav@germanaerospacecenter(dlr)', 'ocefpaf']",6,10,"['atmosphericandenvironmentalresearch', 'developmentseed', 'eccc', 'germanaerospacecenter(dlr)', 'planetlabs', 'universityofhawaii']","['@planetlabs ', 'Atmospheric and Environmental Research, Inc.', 'Development Seed', 'ECCC', 'German Aerospace Center (DLR)', 'University of Hawaii']",,2.12,5,3,146,3,4,3,4,5.0,21.0,90.0,4.2,0,43.64817
+360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,699,149,49,Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2023-02-21,2018-07-02,242,2.8850235849056602,[],2023-02-17,25,"['abdel91', 'brills', 'caveness', 'etiennedaspe', 'npoly', 'paulgc@google', 'santosh-d3vpl3x', 'terrytangyuan@akuity', 'tfx-copybara', 'zwestrick']",2,10,"['akuity', 'google']","['@akuity', '@google ']",,2.5,10,7,56,0,6,9,6,10.0,15.0,90.0,1.5,0,36.89527
+168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,693,93,36,Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2023-02-05,2016-06-23,347,1.9921971252566735,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",2021-02-01,6,"['ahalterman@msupoliticalscience', 'arfon@github', 'chilland@maxar', 'johnb30', 'riordan@phillymedia']",4,10,"['github', 'maxar', 'msupoliticalscience', 'phillymedia']","['@github', '@phillymedia ', 'MSU Political Science', 'Maxar']",,0.0,3,0,81,25,0,1,1,3.0,4.0,90.0,1.3,0,21.8184
+818,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,692,49,16,Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2023-02-21,2022-07-01,33,20.52542372881356,[],2023-02-05,6,"['David-Schnurr', 'SamuelGabriel', 'eddiebergman@automl.org', 'frank-hutter@universityoffreiburg', 'noahho', 'tabpfn-anonym']",2,10,"['automl.org', 'universityoffreiburg']","['University of Freiburg ', 'automl.org']",,2.35,12,11,8,1,0,0,0,12.0,37.0,90.0,3.1,0,25.98879
+620,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,692,35,7,Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2023-02-17,2020-07-11,136,5.066945606694561,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",2023-02-20,23,"['MarcoGorelli@quansight', 'allcontributors[bot]', 'bdice@nvidia', 'caioariede@tesorio', 'girip11', 'janosh@cambridgeuniversity', 'neomatrix369@seniorsoftware,data,mlengnr(self-employed)', 'pre-commit-ci[bot]', 's-weigand', 'tovrstra@ghentuniversity']",6,10,"['cambridgeuniversity', 'ghentuniversity', 'nvidia', 'quansight', 'seniorsoftware,data,mlengnr(self-employed)', 'tesorio']","['@NVIDIA', '@Tesorio', 'Cambridge University', 'Ghent University', 'Quansight', 'Senior Software, Data, ML Engnr (Self-employed)']",,1.27,28,26,32,0,0,32,32,28.0,48.0,90.0,1.7,0,42.99862
+572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,684,155,127,Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2023-02-17,2014-08-01,446,1.5311800447713464,[],2018-07-30,24,"['angevineMiller@ucsdschoolofmedicine', 'astrojuanlu@kedro-org', 'drewbo@cloud-gov(work)+personalprojects;', 'julesair@ledgy', 'kamicut@developmentseed', 'lpinner', 'matthewhanson@element84', 'mileswwatkins', 'njwilson23@fortyninemaps', 'scisco']",7,10,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'element84', 'fortyninemaps', 'kedro-org', 'ledgy', 'ucsdschoolofmedicine']","['@Ledgy ', '@cloud-gov (work) + personal projects; ', '@developmentseed ', '@element84', '@fortyninemaps', '@kedro-org', 'UCSD School of Medicine']",,0.0,0,0,104,56,0,2,2,0.0,0.0,90.0,0.0,0,22.5539
+393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,682,81,27,Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2023-01-21,2015-04-30,407,1.67215411558669,"['benchmark', 'python-frameworks']",2022-03-14,10,"['Kludex@encode', 'abersheeran@get-post-technology', 'alkorgun', 'dependabot[bot]', 'gi0baro', 'github-actions[bot]', 'hawkowl@redhat', 'iurisilvio@buser', 'klen@home']",5,10,"['buser', 'encode', 'get-post-technology', 'home', 'redhat']","['@encode', '@get-post-technology', 'Buser', 'Red Hat', 'home']",,0.12,16,9,95,11,0,3,3,16.0,9.0,90.0,0.6,0,28.72468
+882,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,678,65,14,Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2023-02-21,2019-11-26,169,4.008445945945946,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",2023-02-02,1,['winedarksea'],0,10,[],[],,3.23,13,13,39,1,7,12,7,13.0,30.0,90.0,2.3,0,24.14228
+741,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,677,54,13,Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2023-02-21,2020-07-11,136,4.957112970711297,"['scikit-learn', 'machine-learning', 'benchmark']",2021-10-05,5,"['kayhoogland@floryn', 'koaning@explosion', 'nthomsencph@nttdatabusinesssolutions', 'ogabrielluiz', 'synapticarbors']",3,10,"['explosion', 'floryn', 'nttdatabusinesssolutions']","['@explosion', 'Floryn', 'NTT Data Business Solutions']",,0.0,2,0,32,17,0,0,0,2.0,10.0,90.0,5.0,0,21.59978
+483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,674,218,47,Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2023-02-17,2017-05-17,301,2.2392026578073088,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",2023-02-16,44,"['AleksMat@google', 'andrejburja', 'batic@sinergise', 'blazs', 'devisperessutti@sinergisesentinel-hub', 'iovsn', 'jgersak', 'mlubej@eoresearchteamsinergise', 'rmocnik@sinergise', 'zigaLuksic@sinergise']",4,10,"['eoresearchteamsinergise', 'google', 'sinergise', 'sinergisesentinel-hub']","['@Sinergise', '@sinergise ', '@sinergise @sentinel-hub ', 'EO Research Team @ Sinergise', 'Google', 'Sinergise']",,4.67,65,64,70,0,13,9,13,65.0,37.0,90.0,0.6,0,44.30491
+629,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,672,76,24,Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2023-02-20,2020-02-08,158,4.237837837837838,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",2023-02-16,28,"['SapirLastimoza-Dooley@esri', 'a7az0th@software-supreme', 'brendancol@makepath', 'calexat-123', 'chase-dwelle', 'giancastro@makepath', 'ianthomas23@anaconda', 'kristinepetrosyan', 'marcozimmermannpm', 'thuydotm@makepath']",4,10,"['anaconda', 'esri', 'makepath', 'software-supreme']","['@makepath', '@makepath ', 'Anaconda, Inc.', 'Esri', 'Software-Supreme']",,1.02,107,41,37,0,3,12,3,107.0,40.0,90.0,0.4,0,37.0362
+164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,672,50,26,Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2023-02-18,2019-01-31,211,3.171948752528658,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",2022-05-27,7,"['BramVanroy@lt3kuleuven', 'SergeyShk@anna.money', 'adrianeboyd', 'buhrmann@graphext', 'honnibal@founderexplosion', 'ines@founderexplosion', 'yuhaozhang@stanforduniversity']",5,10,"['anna.money', 'founderexplosion', 'graphext', 'lt3kuleuven', 'stanforduniversity']","['@graphext ', '@lt3 @kuleuven', 'ANNA.MONEY', 'Founder @explosion ', 'Stanford University']",,0.06,4,1,49,9,1,4,1,4.0,5.0,90.0,1.2,0,24.75566
+938,web,https://github.com/koxudaxi/fastapi-code-generator,,,,koxudaxi/fastapi-code-generator,fastapi-code-generator,662,76,14,Python,,fastapi-code-generator: This code generator creates FastAPI app from an openapi file.,koxudaxi,2023-02-17,2020-06-14,140,4.714140386571719,"['fastapi', 'openapi', 'generator', 'python', 'pydantic']",2023-02-15,18,"['allen-munsch', 'baophamtd', 'david-westreicher', 'dependabot-preview[bot]', 'dependabot[bot]', 'ioggstream@teamdigitale', 'koxudaxi@tractabletractableai', 'n0nvme', 'rominf@aiven', 'ytoml']",3,10,"['aiven', 'teamdigitale', 'tractabletractableai']","['@teamdigitale', 'Aiven', 'Tractable @tractableai']",,0.65,33,22,33,0,4,14,4,33.0,42.0,90.0,1.3,0,35.44654
+475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,659,116,35,Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2023-02-16,2017-09-22,282,2.330975240020212,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",2023-01-30,21,"['Hoxbro', 'ceball', 'droumis', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'kebowen730', 'maximlt@anaconda', 'philippjfr@anaconda', 'ppwadhwa']",2,10,"['anaconda', 'azavea']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.']",,0.71,20,16,66,1,0,15,15,20.0,39.0,90.0,1.9,0,36.98259
+808,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,659,69,12,Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2023-02-17,2020-10-05,124,5.302298850574712,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate']",2023-02-05,13,"['Bensebabillal', 'WP-LKL', 'am1ru1@infosec', 'anton-petrov', 'chandr-andr@iponweb', 'codeleta', 'gpkc@fyndiq', 'haluk@universityofnebraska-lincoln', 's3rius', 'sorasful']",4,10,"['fyndiq', 'infosec', 'iponweb', 'universityofnebraska-lincoln']","['@fyndiq', 'IPONWEB ', 'InfoSec', 'University of Nebraska-Lincoln']",,1.08,17,14,29,1,14,10,14,17.0,36.0,90.0,2.1,0,36.57759
+637,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,654,33,8,Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2023-02-18,2017-08-20,287,2.275347912524851,"['python-devtools', 'python', 'devtools']",2023-02-06,11,"['0xsirsaif', 'AlwxSin@pik.pro', 'Cielquan', 'alexmojaki', 'aliereno', 'dependabot[bot]', 'pyup-bot@pyupio', 'samuelcolvin@pydantic', 'staticf0x', 'the-vty']",3,10,"['pik.pro', 'pydantic', 'pyupio']","['@pik.pro', '@pydantic', '@pyupio']",,0.31,12,5,67,0,2,3,2,12.0,23.0,90.0,1.9,0,33.9644
+344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,648,68,17,Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2023-02-19,2019-08-14,184,3.5217391304347827,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",2023-02-21,36,"['agoose77', 'allcontributors[bot]', 'dependabot[bot]', 'henryiii@princetonuniversity', 'ianna', 'ioanaif', 'jpivarski@princeton,iris-hep,pyhep,scikit-hep', 'pre-commit-ci[bot]', 'reikdas@purdueuniversity', 'swishdiff@microsoft']",4,10,"['microsoft', 'princeton,iris-hep,pyhep,scikit-hep', 'princetonuniversity', 'purdueuniversity']","['@microsoft', 'Princeton University', 'Princeton, IRIS-HEP, PyHEP, Scikit-HEP', 'Purdue University']",,11.38,374,324,43,0,45,62,45,374.0,809.0,90.0,2.2,0,50.34484
+849,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,644,216,22,Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2023-02-20,2016-03-16,362,1.7790055248618784,['hacktoberfest'],2023-02-13,113,"['TomAugspurger@microsoft', 'fhoering@criteo', 'gsakkis', 'isidentical@fal-ai', 'jrbourbeau@coiled', 'koverholt@google', 'mariusvniekerk@voltrondata', 'martindurant@anaconda', 'mrocklin@coiled', 'raybellwaves@dtn']",8,10,"['anaconda', 'coiled', 'criteo', 'dtn', 'fal-ai', 'google', 'microsoft', 'voltrondata']","['@coiled ', '@criteo ', '@fal-ai', '@microsoft', '@voltrondata', 'Anaconda, inc.', 'DTN', 'Google']",,0.87,46,26,84,0,0,8,8,46.0,124.0,90.0,2.7,0,50.23661
+235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,642,121,19,Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2023-02-20,2021-08-16,79,8.097297297297297,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",2022-07-08,3,"['svc-scm', 'yuewang-cuhk@salesforceresearch']",1,10,['salesforceresearch'],['Salesforce Research'],,0.04,21,14,18,8,0,0,0,21.0,14.0,90.0,0.7,0,15.38681
+640,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,639,164,18,Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2023-02-17,2015-11-06,380,1.6784240150093808,['hacktoberfest'],2023-02-09,86,"['TomAugspurger@microsoft', 'dscottcs@steminc', 'indera', 'jaguarx', 'jcrobak@confluentinc', 'jonathanunderwood', 'martindurant@anaconda', 'mrocklin@coiled', 'pitrou', 'yohplala']",5,10,"['anaconda', 'coiled', 'confluentinc', 'microsoft', 'steminc']","['@coiled ', '@confluentinc ', '@microsoft', 'Anaconda, inc.', 'Stem Inc']",,1.08,37,36,89,0,0,6,6,37.0,82.0,90.0,2.2,0,46.82828
+760,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,633,188,55,Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2023-02-20,2019-02-28,207,3.045360824742268,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",2021-10-14,8,"['JackHidary', 'dlyongemallo@google', 'jaeyoo@google', 'joetricot', 'kikejimenez', 'rmlarose']",1,10,['google'],['Google'],,0.0,2,1,48,16,0,0,0,2.0,2.0,90.0,1.0,0,16.24614
+18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,631,102,18,Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2023-02-20,2020-06-23,139,4.534907597535934,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",2022-08-23,12,"['Jcharis@jcharistech', 'Jette16', 'adrianeboyd', 'callistachang', 'discdiver', 'ines@founderexplosion', 'narayanacharya6', 'pmbaumgartner@explosion', 'svlandeg@explosion&oxykodit', 'tvst@streamlit']",5,10,"['explosion', 'explosion&oxykodit', 'founderexplosion', 'jcharistech', 'streamlit']","['@explosion', 'Explosion & OxyKodit', 'Founder @explosion ', 'JCharisTech', 'Streamlit']",,0.25,2,0,32,6,2,4,2,2.0,2.0,90.0,1.0,0,25.72105
+839,util,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,631,67,22,Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2023-02-20,2021-09-14,75,8.397338403041825,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",2023-01-20,4,"['ChrisAnstey', 'idanya@fireblocks', ""scottsdevelopment@scott'sdevelopment""]",2,10,"['fireblocks', ""scott'sdevelopment""]","['Fireblocks', ""Scott's Development""]",,0.6,13,11,18,1,5,3,5,13.0,16.0,90.0,1.2,0,26.2415
+397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,625,25,31,Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2023-02-02,2015-02-03,420,1.4875892553553214,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",2023-02-21,13,"['DanielBacci@nubank', 'Krukov', 'MarSoft', 'abnerpc@loadsmart', 'dependabot[bot]', 'drgarcia1986', 'dveselov', 'ei-grad@faceapp', 'klen@home', 'msabramo@adobe']",5,10,"['adobe', 'faceapp', 'home', 'loadsmart', 'nubank']","['@adobe', '@loadsmart', 'FaceApp', 'Nubank', 'home']",,0.52,0,0,98,0,0,42,42,0.0,0.0,90.0,0.0,0,33.94907
+595,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,625,116,36,Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2023-02-16,2018-06-12,245,2.5495337995337994,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",2022-11-24,16,"['TengHu@softwareengineer,uber', 'ajfriend', 'dfellis@alantech', 'henryiii@princetonuniversity', 'isaacbrodsky@unfoldedinc', 'karentycoon', 'kylebarron', 'nastasi-oq@g.e.m.foundation', 'nrabinowitz', 'wwchen']",5,10,"['alantech', 'g.e.m.foundation', 'princetonuniversity', 'softwareengineer,uber', 'unfoldedinc']","['@UnfoldedInc ', '@alantech', 'G.E.M. Foundation', 'Princeton University', 'Software Engineer, Uber']",,0.46,21,8,57,3,4,4,4,21.0,32.0,90.0,1.5,0,34.23485
+690,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,615,163,17,Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2023-02-21,2017-03-15,310,1.9838709677419355,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",2023-02-20,87,"['Lucas-C@sncfconnect&techvoyages-sncf-technologies', 'RedShy', 'RomanKharin', 'alexanderankin@lymaconsulting', 'allcontributors[bot]', 'andersonhc', 'eumiro', 'fbernhart', 'gmischler', 'reingart@onapsis']",3,10,"['lymaconsulting', 'onapsis', 'sncfconnect&techvoyages-sncf-technologies']","['@Onapsis', 'Lyma Consulting', 'SNCF Connect & Tech @voyages-sncf-technologies']",,6.06,109,81,72,0,9,6,9,109.0,257.0,90.0,2.4,0,48.61551
+680,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,608,81,16,Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2023-02-21,2015-11-25,378,1.6084656084656084,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",2023-02-01,14,"['Japoneris', 'Miguel-ASM@bbkbootcamp(code4jobs)', 'arkel23@nycupcs', 'jacquerie@aws', 'lukasschwab', 'mdamien', 'mhils', 'msoelch', 'natfarleydev', 'windisch']",3,10,"['aws', 'bbkbootcamp(code4jobs)', 'nycupcs']","['@aws', 'BBK Bootcamp (Code 4 Jobs)', 'NYCU PCS']",,0.15,8,8,88,1,1,3,1,8.0,4.0,90.0,0.5,0,29.82391
+796,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,607,115,15,HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2023-02-19,2018-05-10,249,2.429388221841052,"['network-visualization', 'python', 'networkx']",2023-02-10,32,"['BerserkerGaruk', 'Darkproduct', 'Nanoseb', 'WilsonHChung', 'aalok-sathe@mitbrain&cognitivesciences', 'boludo00', 'jhunpingco@westhealthinstitute', 'js-konda@westhealth', 'nocluebutalotofit', 'olive004@universityofoxford']",4,10,"['mitbrain&cognitivesciences', 'universityofoxford', 'westhealth', 'westhealthinstitute']","['@MIT Brain & Cognitive Sciences', 'University of Oxford', 'West Health Institute ', 'WestHealth']",,0.69,32,3,58,0,3,1,3,32.0,25.0,90.0,0.8,0,36.7923
+982,ml,https://github.com/googlecloudplatform/vertex-ai-samples,,,,googlecloudplatform/vertex-ai-samples,vertex-ai-samples,604,407,37,Jupyter Notebook,https://cloud.google.com/vertex-ai,"vertex-ai-samples: Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud",googlecloudplatform,2023-02-20,2021-05-27,90,6.647798742138365,"['samples', 'gcp', 'google-cloud-platform', 'vertex-ai', 'notebook', 'python', 'ai', 'ml', 'data-science', 'mlops']",2023-02-18,98,"['andrewferlitsch', 'inardini@googlecloud', 'ivanmkc@google', 'krishr2d2@springml-code', 'kweinmeister@google', 'morgandu@google', 'renovate-bot@mend', 'soheilazangeneh@google', 'sudarshan-SpringML', 'udaypunna@springml']",5,10,"['google', 'googlecloud', 'mend', 'springml', 'springml-code']","['@google ', '@mend', '@springml-code ', 'Google', 'Google Cloud ', 'SpringML']",,23.08,279,235,21,0,0,0,0,275.0,473.0,90.0,1.7,0,46.36474
+831,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,597,87,16,Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2023-02-19,2016-08-28,338,1.7640354579991557,"['attrs', 'deserialization', 'serialization']",2023-02-05,45,"['MicaelJarniac@micaeljarniac', 'Tinche@pocketzworld', 'adetokunbo', 'bibajz', 'bluetech', 'dswistowski', 'jap', 'joeldodge79@looker', 'raabf@siemensag', 'toumorokoshi@google']",5,10,"['google', 'looker', 'micaeljarniac', 'pocketzworld', 'siemensag']","['@google', '@pocketzworld ', 'Looker', 'Micael Jarniac', 'Siemens AG']",,2.13,21,15,79,0,0,4,4,21.0,49.0,90.0,2.3,0,44.0484
+958,web,https://github.com/long2ice/fastapi-cache,,,,long2ice/fastapi-cache,fastapi-cache,596,88,9,Python,https://github.com/long2ice/fastapi-cache,"fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.",long2ice,2023-02-21,2020-08-25,130,4.579582875960483,"['cache', 'fastapi', 'redis', 'memcached']",2023-02-15,24,"['DevLucca@redventures', 'Mrreadiness', 'cpbotha', 'dveleztx@tamusa-acm', 'geo-mathijs', 'hackjammer', 'long2ice', 'schmocker@axpogridag', 'squaresmile', 'vvanglro']",3,10,"['axpogridag', 'redventures', 'tamusa-acm']","['@RedVentures ', '@TAMUSA-ACM', 'Axpo Grid AG']",,1.02,30,21,30,0,3,4,3,30.0,50.0,90.0,1.7,0,36.51021
+505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,593,137,28,Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2023-02-20,2019-04-30,199,2.9777618364418936,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",2023-01-20,23,"['FilippoSimini@argonnenationallaboratory', 'GiulianoCornacchia', 'gbarlacchi', 'jonpappalord@isti-cnr', 'lcandeago', 'miccferr', 'michelegirolami@isti-cnr', 'pareyesv@barcelonasupercomputingcenter,bsc', 'pellungrobe', 'sebxwolf']",3,10,"['argonnenationallaboratory', 'barcelonasupercomputingcenter,bsc', 'isti-cnr']","['Argonne National Laboratory', 'Barcelona Supercomputing Center, BSC', 'ISTI-CNR']",,1.1,50,36,46,1,1,2,1,50.0,32.0,90.0,0.6,0,33.02958
+889,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,590,218,43,C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2023-02-21,2019-05-17,196,2.999273783587509,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",2023-02-20,96,"['HamishB', 'HuidaeCho@newmexicostateuniversity', 'glynnc', 'huhabla', 'landam@czechtechnicaluniversityinprague', 'lucadelu@fondazioneedmundmach', 'metzm', 'neteler@mundialis', 'petrasovaa@ncsu', 'wenzeslaus@northcarolinastateuniversity']",6,10,"['czechtechnicaluniversityinprague', 'fondazioneedmundmach', 'mundialis', 'ncsu', 'newmexicostateuniversity', 'northcarolinastateuniversity']","['@mundialis ', 'Czech Technical University in Prague', 'Fondazione Edmund Mach', 'NCSU', 'New Mexico State University', 'North Carolina State University']",,7.02,416,196,46,0,12,36,12,416.0,628.0,90.0,1.5,0,51.45629
+117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,585,93,37,Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2023-02-21,2019-03-25,204,2.8636363636363638,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",2021-01-31,8,"['DeNeutoy', 'ICLRandD@theincorporatedcounciloflawreportingforenglandandwales', 'danielhoadley', 'hueyy', 'richardbatstone']",1,10,['theincorporatedcounciloflawreportingforenglandandwales'],['The Incorporated Council of Law Reporting for England and Wales'],,0.0,0,0,48,25,0,0,0,0.0,0.0,90.0,0.0,0,11.02523
+957,ml,https://github.com/facebookresearch/balance,,,,facebookresearch/balance,balance,584,27,5,Python,https://import-balance.org,balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.,facebookresearch,2023-02-21,2022-11-15,14,41.292929292929294,[],2023-02-19,11,"['SarigT', 'antonk52', 'facebook-github-bot@facebook', 'jknoxville@facebook', 'talgalili@telavivuniversity', 'zbraiterman']",2,10,"['facebook', 'telavivuniversity']","['@facebook', 'Facebook', 'Tel Aviv University']",,1.88,22,18,3,0,5,20,5,22.0,89.0,90.0,4.0,0,31.68279
+752,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,583,48,14,Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2023-02-19,2022-09-04,24,23.86549707602339,[],2022-10-30,2,"['andreykurenkov@stanford', 'sharonzhou']",1,10,['stanford'],['Stanford'],,0.44,0,0,6,4,0,0,0,0.0,0.0,90.0,0.0,0,7.88204
+671,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,581,30,33,Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2023-02-20,2022-06-03,37,15.405303030303031,[],2022-08-09,1,['atiorh'],0,10,[],[],,0.1,0,0,9,7,3,4,3,0.0,0.0,90.0,0.0,0,5.09876
+167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,581,157,50,HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2023-02-21,2017-09-30,281,2.063419583967529,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",2022-08-10,8,"['AndreyCorelli', 'kpmarsh', 'mjbommar', 'mviktorov', 'pchestek', 'reddalexx', 'warrenagin']",0,10,[],[],,0.06,5,1,66,6,0,0,0,5.0,4.0,90.0,0.8,0,15.92043
+906,data,https://github.com/googleapis/python-bigquery,,,,googleapis/python-bigquery,python-bigquery,568,229,57,Python,,googleapis/python-bigquery,googleapis,2023-02-18,2019-12-10,167,3.398290598290598,[],2023-02-16,122,"['HemangChothani', 'alixhami', 'dhermes@co-founderhardfinhq', 'gcf-owl-bot[bot]', 'jba@google', 'plamut@independentcontractor', 'release-please[bot]', 'renovate-bot@mend', 'tseaver@agendalessconsulting', 'tswast@google']",5,10,"['agendalessconsulting', 'co-founderhardfinhq', 'google', 'independentcontractor', 'mend']","['@mend', 'Agendaless Consulting, Inc.', 'Co-founder @hardfinhq', 'Google', 'Independent contractor']",,3.52,132,75,39,0,21,38,21,132.0,132.0,90.0,1.0,0,48.52903
+160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,567,65,10,Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2023-02-17,2017-06-11,297,1.9063400576368876,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",2021-02-11,6,"['matthen', 'misotrnka@gerulatatechnologies', 'nipunsadvilkar@explosion', 'spate141']",2,10,"['explosion', 'gerulatatechnologies']","['@explosion', 'Gerulata Technologies']",,0.0,3,1,69,25,0,3,3,3.0,3.0,90.0,1.0,0,20.04679
+567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,566,109,31,Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2023-02-20,2014-09-28,438,1.290974258716194,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",2022-05-24,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.13,0,0,102,9,0,1,1,0.0,0.0,90.0,0.0,0,12.48188
+306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,559,154,31,Python,,panoramix: Ethereum decompiler,palkeo,2023-02-21,2020-02-17,157,3.5540417801998183,[],2020-08-22,4,"['cleanunicorn@ethereum', 'kolinko@eveem.org']",2,10,"['ethereum', 'eveem.org']","['Ethereum', 'Eveem.org']",,0.0,7,1,37,30,0,1,1,7.0,4.0,90.0,0.6,0,15.4819
+259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,555,134,48,Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2023-02-08,2018-01-23,265,2.0932112068965516,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",2022-12-08,8,"['CrackLord', 'dependabot[bot]', 'mifunetoshiro', 'pmaji@capitalone', 'stainedhat', 'theimo1221']",1,10,['capitalone'],['Capital One'],,0.06,2,2,62,2,0,0,0,2.0,0.0,90.0,0.0,0,18.55593
+576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,548,236,22,Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2023-02-21,2018-04-23,252,2.172140430351076,[],2023-02-17,170,"['TomAugspurger@microsoft', 'asford@abcellerabiologics', 'efiop@iterative', 'ianthomas23@anaconda', 'isidentical@fal-ai', 'juliospain', 'martindurant@anaconda', 'rjzamora@nvidia', 'sodre@zeroae', 'xyb']",7,10,"['abcellerabiologics', 'anaconda', 'fal-ai', 'iterative', 'microsoft', 'nvidia', 'zeroae']","['@NVIDIA', '@fal-ai', '@iterative', '@microsoft', 'AbCellera Biologics', 'Anaconda, Inc.', 'Anaconda, inc.', 'ZeroAE LLC']",,2.88,98,67,59,0,0,14,14,98.0,199.0,90.0,2.0,0,52.34155
+685,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,543,42,22,Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2023-02-21,2021-06-28,86,6.293046357615894,[],2022-12-09,2,"['mmccarty@nvidia', 'vzhurba01']",1,10,['nvidia'],['NVIDIA'],,0.19,12,9,20,2,6,5,6,12.0,24.0,90.0,2.0,0,23.00183
+883,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,540,95,17,Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2023-02-21,2020-02-15,157,3.42701722574796,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",2022-08-16,6,"['AutoViML', 'JimmyBroomfield', 'Kevin-Chen0', 'ngupta23@o9solutions', 'rsesha']",1,10,['o9solutions'],['o9 Solutions Inc.'],,0.12,3,2,37,6,0,1,1,3.0,4.0,90.0,1.3,0,19.60673
+625,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,536,264,45,Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2023-02-16,2012-08-06,550,0.9740394600207685,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",2023-02-20,100,"['DPeterK@informatics-lab', 'QuLogic', 'ajdawson', 'bblay', 'bjlittle@metoffice', 'esc24', 'lbdreyer', 'pelson', 'pp-mo@metoffice', 'rhattersley@metoffice']",2,10,"['informatics-lab', 'metoffice']","['@MetOffice ', '@informatics-lab ', 'Met Office', 'MetOffice']",,5.58,174,98,128,0,8,7,8,174.0,237.0,90.0,1.4,0,47.48923
+874,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,535,336,34,Python,https://ipython.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2023-02-20,2015-04-09,410,1.3021557719054242,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",2023-02-16,165,"['Carreau@quansight-labs', 'SylvainCorlay@quantstack', 'blink1073@mongodb', 'echarles@datalayer', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'github-actions[bot]', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'takluyver']",7,10,"['amazonwebservices', 'datalayer', 'mongodb', 'quansight-labs', 'quantstack', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Datalayer', '@Quansight-Labs', 'Amazon Web Services', 'MongoDB', 'QuantStack', 'Simula Research Laboratory', 'University of California, Berkeley.']",,4.37,92,61,96,0,32,14,32,92.0,225.0,90.0,2.4,0,55.46458
+516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,535,61,15,Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2023-02-21,2022-03-03,50,10.519662921348315,[],2022-08-18,1,['LeeDoYup@kakaobrain'],1,10,['kakaobrain'],['Kakao Brain'],,0.08,2,1,12,6,0,0,0,2.0,2.0,90.0,1.0,0,11.14385
+525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,527,123,30,Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2023-02-21,2011-06-19,609,0.8647444913267698,[],2023-01-23,39,"['EwoutH', 'KennethAdamMiller', 'adamjstewart@universityofillinoisaturbana-champaign', 'brentp@universityofutah', 'dependabot[bot]', 'dokai@facebook', 'hobu@hobu', 'mwtoews@gnsscience', 'sgillies@planetlabs', 'sr-murthy']",6,10,"['facebook', 'gnsscience', 'hobu', 'planetlabs', 'universityofillinoisaturbana-champaign', 'universityofutah']","['@planetlabs', 'Facebook', 'GNS Science', 'Hobu, Inc.', 'University of Illinois at Urbana-Champaign', 'University of Utah']",,0.35,6,5,142,1,2,1,2,6.0,4.0,90.0,0.7,0,37.10679
+589,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,522,87,11,JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2023-02-20,2019-05-09,197,2.6382671480144406,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",2023-02-21,38,"['921kiyo', 'AntonyMilneQB', 'bru5', 'dependabot[bot]', 'limdauto', 'rashidakanchwala', 'richardwestenra@medshr', 'snyk-bot@snyk', 'studioswong', 'tynandebold@kedro-org,quantumblacklabs']",3,10,"['kedro-org,quantumblacklabs', 'medshr', 'snyk']","['@Snyk', '@kedro-org, @quantumblacklabs', 'MedShr']",,4.06,136,98,46,0,13,14,13,136.0,141.0,90.0,1.0,0,43.35078
+665,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,521,154,36,Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2023-02-15,2020-01-20,161,3.2302922940655447,[],2020-05-01,1,"['rasbt@lightning-ai,universityofwisconsin-madison']",1,10,"['lightning-ai,universityofwisconsin-madison']","['@Lightning-AI , University of Wisconsin-Madison']",,0.0,0,0,38,34,0,0,0,0.0,0.0,90.0,0.0,0,5.58105
+359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,519,118,29,C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2023-02-19,2019-01-15,214,2.4236157438292194,[],2023-02-18,15,"['BrianSong', 'CandiedCode', 'StefanoFioravanzo@arrikto', 'atn832', 'daikeshi@spotify', 'hughmiao', 'mzinkevi', 'npoly', 'yupbank@shopify', 'zijianjoy']",3,10,"['arrikto', 'shopify', 'spotify']","['@Shopify ', 'Arrikto', 'Spotify']",,0.56,6,3,50,0,6,8,6,6.0,8.0,90.0,1.3,0,34.17193
+413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,518,87,17,Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2023-02-15,2013-08-27,495,1.0461627236006925,[],2023-02-15,29,"['Jajcus', 'bastibe', 'davidblewett', 'gesellkammer', 'jonashaag@quantco', 'mgeier', 'peircej@universityofnottingham', 'tgarc@self', 'tillahoffmann@harvardt.h.chanschoolofpublichealth', 'upsuper@canva']",5,10,"['canva', 'harvardt.h.chanschoolofpublichealth', 'quantco', 'self', 'universityofnottingham']","['@Canva ', '@Quantco', 'Harvard T.H. Chan School of Public Health', 'University of Nottingham', 'self']",,0.48,20,14,116,0,7,3,7,20.0,73.0,90.0,3.6,0,44.69617
+797,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,513,61,14,Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2023-02-21,2022-04-29,42,12.010033444816054,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",2023-02-09,6,"['CnBDM-Su@cityuniversityofhongkong', 'Eveyz', 'ZebinYang', 'ajzhanghk', 'parulnith@h2oai', 'simoncos']",2,10,"['cityuniversityofhongkong', 'h2oai']","['@h2oai', 'City University of HongKong']",,4.29,9,8,10,0,15,19,15,9.0,27.0,90.0,3.0,0,33.42323
+673,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,511,9,10,Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2023-02-21,2022-06-01,38,13.447368421052632,[],2022-12-15,2,"['brandtbucher@microsoft', 'cclauss@christianclauss']",2,10,"['christianclauss', 'microsoft']","['@microsoft', 'Christian Clauss']",,1.0,2,0,9,2,10,14,10,2.0,6.0,90.0,3.0,0,23.47966
+47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,506,86,15,Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2023-02-21,2017-06-06,298,1.6971729755630092,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",2023-02-16,13,"['Governa', 'Jedi18', 'aborecki', 'christopherpickering@atlas-bi', 'collerek@kaizentech', 'dependabot[bot]', 'dylanhogg@infocruncher', 'glentakahashi', 'macbre@automattic', 'vakhmenin']",4,10,"['atlas-bi', 'automattic', 'infocruncher', 'kaizentech']","['@atlas-bi', '@automattic', 'Infocruncher', 'KaizenTech']",,0.92,22,8,70,0,3,5,3,22.0,10.0,90.0,0.5,0,34.63214
+794,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,501,205,23,Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2023-02-18,2018-09-28,229,2.1809701492537314,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",2023-02-16,14,"['2320sharon@sacramentostate', 'KristenSplinter@unswsydney', 'SBFRF@usaceerdc-fieldresearchfacility', 'borgstad', 'chrisleaman@waterresearchlaboratory(unsw)', 'hcastrol', 'ianlturner', 'kant', 'kvos@waterresearchlaboratory']",5,10,"['sacramentostate', 'unswsydney', 'usaceerdc-fieldresearchfacility', 'waterresearchlaboratory', 'waterresearchlaboratory(unsw)']","['Sacramento State', 'UNSW Sydney', 'USACE ERDC  - Field Research Facility ', 'Water Research Laboratory', 'Water Research Laboratory (UNSW)']",,1.44,26,20,54,0,4,3,4,26.0,46.0,90.0,1.8,0,39.24157
+216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,497,68,10,Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2023-02-20,2020-01-13,162,3.0625,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",2023-02-21,27,"['BarabanovaIrina', 'Dreamlone@wiredhut', 'J3FALL', 'MorrisNein', 'YamLyubov', 'YanaPolonskaya@mail.rugroup', 'gkirgizov@itmo-nss-team', 'maypink@itmo-nss-team', 'nicl-nno@itmouniversity', 'valer1435']",4,10,"['itmo-nss-team', 'itmouniversity', 'mail.rugroup', 'wiredhut']","['@ITMO-NSS-team', 'ITMO University', 'Mail.Ru Group', 'Wiredhut']",,4.81,101,74,38,0,3,4,3,101.0,99.0,90.0,1.0,0,40.67645
+241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,492,58,17,Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2023-02-06,2021-07-10,84,5.8175675675675675,[],2022-03-27,2,['jwyang@microsoft'],1,10,['microsoft'],['Microsoft'],,0.04,0,0,20,11,0,0,0,0.0,0.0,90.0,0.0,0,7.87529
+582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,479,103,18,Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2023-02-20,2019-06-28,190,2.5116104868913856,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",2023-02-14,32,"['FischerLGLN@lgln-landesamtfürgeoinformationundlandesvermessungniedersachsen', 'RichardScottOZ@ozminerals', 'abarciauskas-bgse@developmentseed', 'drnextgis@satellogic', 'emmanuelmathot@terradue', 'fredliporace@amskepler', 'geospatial-jeff@regrowag', 'kylebarron', 'samn@upstream-tech', 'vincentsarago@developmentseed']",8,10,"['amskepler', 'developmentseed', 'lgln-landesamtfürgeoinformationundlandesvermessungniedersachsen', 'ozminerals', 'regrowag', 'satellogic', 'terradue', 'upstream-tech']","['@Terradue', '@Upstream-Tech ', '@developmentseed ', '@regrowag', '@satellogic', 'AMS Kepler', 'Development Seed', 'LGLN - Landesamt für Geoinformation und Landesvermessung Niedersachsen', 'OZ Minerals']",,2.0,36,30,44,0,0,14,14,36.0,36.0,90.0,1.0,0,44.28822
+487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,473,59,21,Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2023-02-17,2018-04-25,252,1.876984126984127,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",2022-12-09,13,"['Esteban82@institutodegeocienciasbásicas,aplicadasyambientalesdebuenosaires-igeba(universityofbuenosaires-conicet)', 'Goto15', 'JamesSample@nivanorge', 'arfon@github', 'dcslagel@codefarm', 'djhoese@spacescienceandengineeringcenter(ssec)', 'fatiando-bot@fatiando', 'jessepisel', 'leouieda@universityofliverpool', 'santisoler@fatiandoubcgifcompgeolabgeolatinas']",8,10,"['codefarm', 'fatiando', 'fatiandoubcgifcompgeolabgeolatinas', 'github', 'institutodegeocienciasbásicas,aplicadasyambientalesdebuenosaires-igeba(universityofbuenosaires-conicet)', 'nivanorge', 'spacescienceandengineeringcenter(ssec)', 'universityofliverpool']","['@NIVANorge', '@fatiando', '@fatiando @ubcgif @compgeolab @GeoLatinas', '@github', 'Code Farm LLC', 'Instituto de Geociencias Básicas, Aplicadas y Ambientales de Buenos Aires - IGEBA (University of Buenos Aires-CONICET)', 'Space Science and Engineering Center (@ssec)', 'University of Liverpool']",,0.54,6,3,59,2,1,3,1,6.0,5.0,90.0,0.8,0,32.18733
+211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,471,88,20,Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2023-02-07,2020-01-28,160,2.9411239964317573,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",2021-12-18,5,"['0xflotus', 'Finance-781', 'dependabot[bot]', 'fatihbaltaci@ddosify', 'firmai@alanturinginstitute,firmai']",2,10,"['alanturinginstitute,firmai', 'ddosify']","['@ddosify', 'Alan Turing Institute, FirmAI']",,0.0,1,0,37,14,0,0,0,1.0,0.0,90.0,0.0,0,13.09882
+329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,466,60,19,Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2023-02-17,2021-10-21,69,6.670756646216769,[],2022-07-26,3,"['GeraldCSC', 'bknyaz@samsung-saitailab,montreal', 'michaldrozdzal']",1,10,"['samsung-saitailab,montreal']","['Samsung - SAIT AI Lab, Montreal']",,0.19,0,0,16,7,0,0,0,0.0,0.0,90.0,0.0,0,9.37574
+914,ml,https://github.com/cvxgrp/pymde,,,,cvxgrp/pymde,pymde,465,26,9,Python,https://pymde.org,pymde: Minimum-distortion embedding with PyTorch,cvxgrp,2023-02-19,2020-11-29,116,3.9938650306748467,"['embedding', 'visualization', 'feature-vectors', 'machine-learning', 'dimensionality-reduction', 'graph-embedding', 'pytorch', 'cuda', 'gpu']",2022-11-20,10,"['BastianZim@arche-finanz', 'adamgayoso@ucberkeley', 'adswa@psychoinformatics-de', 'akshayka@cvxgrpcvxpy', 'angeris', 'frederikschubert@leibnizuniversitäthannover', 'kashif', 'kruus@neclabsamerica', 'rajarshi', 'theresekoch@utsouthwesternmedicalcenter']",7,10,"['arche-finanz', 'cvxgrpcvxpy', 'leibnizuniversitäthannover', 'neclabsamerica', 'psychoinformatics-de', 'ucberkeley', 'utsouthwesternmedicalcenter']","[' @psychoinformatics-de', '@arche-finanz', '@cvxgrp @cvxpy', 'Leibniz Universität Hannover', 'NEC Labs America', 'UC Berkeley', 'UT Southwestern Medical Center']",,0.25,4,1,27,3,3,9,3,4.0,10.0,90.0,2.5,0,31.36028
+497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,463,87,14,Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2023-02-19,2019-05-22,196,2.3622448979591835,[],2020-12-10,3,"['SeokjuLee@kentech', 'mcahny']",1,10,['kentech'],['KENTECH'],,0.0,2,0,46,27,0,0,0,2.0,0.0,90.0,0.0,0,9.25973
+872,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,463,17,6,Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2023-02-21,2022-04-25,43,10.696369636963697,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",2023-02-21,6,"['Asrst@dataamazon', 'dependabot[bot]', 'jaychia@lyft', 'jeevb@freenome', 'samster25@eventual-inc', 'xcharleslin']",4,10,"['dataamazon', 'eventual-inc', 'freenome', 'lyft']","['@Eventual-Inc ', '@lyft', 'Data @ Amazon', 'Freenome']",,11.98,266,227,10,0,0,28,28,265.0,139.0,90.0,0.5,0,38.73064
+437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,traceml,460,40,13,Python,,"traceml: Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.",polyaxon,2023-02-11,2016-03-25,360,1.2752475247524753,"['pandas', 'pandas-summary', 'dataframes', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-checks', 'explainable-ai', 'pytorch', 'tensorflow', 'tracking']",2023-02-14,98,"['DXist', 'dependabot[bot]', 'gzcf', 'javidgon', 'lgeiger@plumerailarq', 'mmourafiq', 'polyaxon-ci', 'polyaxon-team', 'vfdev-5@quansight', 'wbuchwalter@microsoftresearch']",3,10,"['microsoftresearch', 'plumerailarq', 'quansight']","['@Quansight', '@plumerai @larq ', 'Microsoft Research']",,1.98,0,0,84,0,0,1,1,0.0,0.0,90.0,0.0,0,33.49053
+479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,458,68,28,Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2023-02-14,2016-04-19,357,1.2824,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",2023-01-17,28,"['Hoxbro', 'ahuang11@prefect!', 'bjlittle@metoffice', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'marqh', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'metoffice', 'prefect!']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Met Office', 'Prefect!']",,0.73,82,19,83,1,2,10,2,82.0,23.0,90.0,0.3,0,35.49567
+375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,453,53,11,Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2023-02-19,2019-07-25,186,2.4243119266055047,[],2021-11-06,6,"['VHRanger', 'cthoyt@harvardmedicalschool', 'kannankumar@sap', 'ldorigo']",2,10,"['harvardmedicalschool', 'sap']","['Harvard Medical School', 'SAP']",,0.0,5,2,44,16,0,3,3,5.0,4.0,90.0,0.8,0,20.1182
+742,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,451,50,13,Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2023-02-11,2020-02-22,156,2.8804744525547443,"['nlp', 'embeddings', 'visualisations']",2023-02-06,13,"['Arsilla@kpmgnetherlands', 'Ayushsunny@inviiiwardrobedoor', 'Raghibshams456', 'RensDimmendaal', 'itsabdelrahman@trivago', 'koaning@explosion', 'louisguitton@motain', 'mkaze', 'timvink', 'tttthomasssss@zalandose']",6,10,"['explosion', 'inviiiwardrobedoor', 'kpmgnetherlands', 'motain', 'trivago', 'zalandose']","['@INVIII @wardrobedoor', '@explosion', '@motain ', 'KPMG Netherlands', 'Zalando SE', 'trivago']",,0.12,1,1,36,0,1,9,1,1.0,2.0,90.0,2.0,0,32.74481
+837,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,444,109,33,Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2023-02-13,2013-09-18,492,0.9024390243902439,[],2023-02-16,30,"['Zeitsperre@ouranos', 'brendancol@makepath', 'drnextgis@satellogic', 'hawkaa@duneanalytics', 'mwtoews@gnsscience', 'ozak@southernmethodistuniversity', 'perrygeo', 'sdtaylor', 'sgoodm@aiddata', 'theroggy']",7,10,"['aiddata', 'duneanalytics', 'gnsscience', 'makepath', 'ouranos', 'satellogic', 'southernmethodistuniversity']","['@aiddata', '@duneanalytics', '@makepath ', '@satellogic', 'GNS Science', 'Ouranos', 'Southern Methodist University']",,0.38,29,21,115,0,2,2,2,29.0,32.0,90.0,1.1,0,41.49109
+573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,443,112,52,Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2023-01-20,2018-01-10,267,1.6591760299625469,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",2020-11-19,15,"['Geoyi@regrow', 'PallawiSinghal@heretechnologies', 'achyutjoshi', 'drewbo@cloud-gov(work)+personalprojects;', 'giswqs@universityoftennessee', 'jreiberkyle@planetlabs', 'martham93@developmentseed', 'palacima', 'vincentsarago@developmentseed', 'wronk']",6,10,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'heretechnologies', 'planetlabs', 'regrow', 'universityoftennessee']","['@cloud-gov (work) + personal projects; ', '@developmentseed ', '@planetlabs ', 'Development Seed', 'Here Technologies ', 'Regrow', 'University of Tennessee']",,0.0,0,0,62,27,0,3,3,0.0,0.0,90.0,0.0,0,21.67001
+844,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,442,43,10,Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2023-02-21,2015-12-25,373,1.1827217125382263,"['multiprocessing-library', 'python']",2023-02-17,17,"['aabadie@inria', 'albertcthomas', 'basnijholt@microsoft', 'glemaitre@scikit-learninriafoundation', 'haim0n@private', 'jeremiedbb', 'ogrisel@inria', 'pierreglaser@ucl', 'rth', 'tomMoral@inriasaclay-parietalteam']",6,10,"['inria', 'inriasaclay-parietalteam', 'microsoft', 'private', 'scikit-learninriafoundation', 'ucl']","['@Microsoft', 'INRIA Saclay - Parietal team', 'Inria', 'Private', 'Scikit-learn @ Inria foundation', 'UCL']",,0.35,15,9,87,0,0,5,5,15.0,24.0,90.0,1.6,0,39.78378
+913,util,https://github.com/methexis-inc/terminal-copilot,,,,methexis-inc/terminal-copilot,terminal-copilot,439,23,6,Python,,terminal-copilot: A smart terminal assistant that helps you find the right command.,methexis-inc,2023-02-21,2022-12-11,10,42.0958904109589,[],2023-01-25,8,"['2mawi2', 'EdwardTheLegend', 'JoelKronander', 'cedarbaum', 'instance-id@instance.id', 'kafischer@stanforduniversity', 'rebelzion', 'rmax@paige.ai']",3,10,"['instance.id', 'paige.ai', 'stanforduniversity']","['Paige.AI', 'Stanford University', 'instance.id']",,1.42,39,25,2,1,1,6,1,39.0,71.0,90.0,1.8,0,25.77479
+292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,437,45,8,Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2023-02-17,2020-11-21,117,3.7168894289185905,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",2022-09-27,16,"['danpalmer@google', 'dependabot[bot]', 'hamelsmu@github', 'hwine', 'jph00@fastai', 'jrieke@streamlit', 'lfdebrux@alphagov', 'mszhanyi@microsoft', 'muellerzr@huggingface', 'rshk']",7,10,"['alphagov', 'fastai', 'github', 'google', 'huggingface', 'microsoft', 'streamlit']","['@Google', '@HuggingFace', '@alphagov', '@fastai ', '@github ', '@streamlit', 'Microsoft']",,1.08,2,0,27,5,6,9,6,2.0,3.0,90.0,1.5,0,31.1749
+863,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,437,80,44,Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2023-02-15,2018-01-15,266,1.6410944206008584,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",2023-02-20,71,"['andriisoldatenko', 'andscoop', 'bote795', 'cwurtz', 'danielhoherd@astronomer', 'jpweber@astronomer(formerlyheptiovmware)', 'pgvishnuram@astronomer', 'schnie@astronomer', 'sjmiller609@coredb', 'tedmiston@mandolin-dev']",4,10,"['astronomer', 'astronomer(formerlyheptiovmware)', 'coredb', 'mandolin-dev']","['@astronomer', '@astronomer ', '@astronomer (formerly @heptio @vmware)', '@mandolin-dev', 'Astronomer', 'CoreDB']",,8.94,77,74,62,0,28,68,28,77.0,55.0,90.0,0.7,0,47.90965
+188,math,https://github.com/dit/dit,,,,dit/dit,dit,429,78,24,Python,http://docs.dit.io,dit: Python package for information theory.,dit,2023-02-21,2013-09-29,490,0.8747451208855229,"['python', 'information-theory']",2022-07-25,20,"['Autoplectic', 'Ejjaffe', 'agrif', 'artemyk', 'chebee7i', 'feeds@phdstudentepfl', 'marcharper@google', 'robince', 'stsievert', 'volpatto@esss']",3,10,"['esss', 'google', 'phdstudentepfl']","['@ESSS', 'Google', 'PhD student @ EPFL']",,0.19,1,0,114,7,1,3,1,1.0,3.0,90.0,3.0,0,29.64526
+481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,423,125,78,Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2023-02-17,2013-08-15,496,0.8513513513513513,[],2020-05-11,20,"['Eh2406@amazon', 'bridwell', 'daradib@applemontechnologies', 'fscottfoti@populus-aimapcraftlabsoaklandanalytics', 'gonzalobenegas', 'janowicz', 'jiffyclub@populus-ai', 'pksohn@google', 'smmaurer@urbansim', 'waddell']",6,10,"['amazon', 'applemontechnologies', 'google', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'urbansim']","['@Amazon ', '@populus-ai ', '@populus-ai @mapcraftlabs @oaklandanalytics  ', 'Applemon Technologies', 'Google', 'UrbanSim Inc.']",,0.0,1,0,116,34,0,1,1,1.0,0.0,90.0,0.0,0,22.63401
+486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,421,151,21,Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2023-02-16,2018-02-20,261,1.6121444201312911,"['spatial-data', 'raster', 'vector', 'python', 'education']",2021-12-20,43,"['PowerChell@radiantearth', 'annaspiers', 'arfon@github', 'betatim@nvidia', 'mbjoseph@silviaterra', 'mgraber@nycplanning', 'nkorinek', 'pyup-bot@pyupio', 'sgillies@planetlabs', 'windnage@nationalsnowandicedatacenteratcu,boulder']",8,10,"['github', 'nationalsnowandicedatacenteratcu,boulder', 'nvidia', 'nycplanning', 'planetlabs', 'pyupio', 'radiantearth', 'silviaterra']","['@NYCPlanning', '@SilviaTerra', '@github', '@planetlabs', '@pyupio', '@radiantearth ', 'National Snow and Ice Data Center at CU, Boulder', 'Nvidia ']",,0.0,57,49,61,14,0,7,7,58.0,100.0,90.0,1.7,0,38.14719
+472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,413,25,11,Python,,google-research/byt5,google-research,2023-02-15,2021-05-26,91,4.538461538461538,[],2022-03-02,2,"['lintingxue', 'nconstant-google']",0,10,[],[],,0.02,0,0,21,12,0,0,0,0.0,0.0,90.0,0.0,0,4.35923
+705,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,413,18,9,Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2023-02-01,2020-11-17,118,3.4957678355501813,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",2022-07-04,4,"['AlexIoannides@bodywork-mllloydsbankinggroup', 'Marios85@bodyworkmachinelearning']",2,10,"['bodywork-mllloydsbankinggroup', 'bodyworkmachinelearning']","['@bodywork-ml @lloydsbankinggroup', 'Bodywork Machine Learning']",,2.35,0,0,28,8,0,26,26,0.0,0.0,90.0,0.0,0,20.64757
+786,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,410,23,7,Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2023-02-20,2021-11-18,65,6.225596529284165,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",2023-02-20,13,"['LittleFox94@anexia,anexia-it', 'Schille@blueshoe', 'SteinRobert@blueshoe', 'buschNT', 'cappuc', 'dependabot[bot]', 'georgkrause', 'kianmeng', 'tschale@blueshoeunikubehq', 'vvvityaaa']",3,10,"['anexia,anexia-it', 'blueshoe', 'blueshoeunikubehq']","['@Blueshoe ', '@Blueshoe @unikubehq ', '@anexia, @anexia-it', 'Blueshoe']",,7.23,80,68,15,0,41,42,41,80.0,139.0,90.0,1.7,0,40.53883
+275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,406,62,16,Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2023-02-19,2021-06-28,86,4.7052980132450335,[],2022-12-01,6,"['dudzicz@tokenflowinsights', 'kchojn@py-world', 'piotr-rudnik', 'rmaganza@tokenflowinsights', 'tmierzwa@tokenflowinsights', 'wolololol']",2,10,"['py-world', 'tokenflowinsights']","['@TokenFlowInsights ', 'Py-World', 'Token Flow Insights']",,1.08,12,11,20,3,12,22,12,12.0,10.0,90.0,0.8,0,26.64022
+722,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,405,46,10,Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2023-02-15,2013-10-16,488,0.8299180327868853,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",2022-11-15,14,"['Gistbatch@technicaluniversityofmunich', 'alanjds', 'ampolloreno@universityofcoloradoboulder', 'art049@codspeedhq', 'cbrnr@universityofgraz', 'marxin', 'noxdafox@getcujo', 'sam-harding', 'villind', 'wimglenn']",5,10,"['codspeedhq', 'getcujo', 'technicaluniversityofmunich', 'universityofcoloradoboulder', 'universityofgraz']","['@CodSpeedHQ ', '@getCUJO', 'Technical University of Munich', 'University of Colorado Boulder', 'University of Graz']",,0.98,2,1,114,3,4,2,4,2.0,1.0,90.0,0.5,0,31.50469
+803,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,404,314,15,Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2023-02-20,2019-11-08,171,2.3527454242928454,[],2023-02-20,182,"['NathanielRN', 'codeboten@lightstep', 'lzchen@microsoftcorporation', 'mariojonke', 'mauriciovasquezbernal@microsoft(kinvolk)', 'nemoshlag@epsagon', 'ocelotl', 'ofek@datadog', 'owais@splunk', 'srikanthccv@signoz.io']",7,10,"['datadog', 'epsagon', 'lightstep', 'microsoft(kinvolk)', 'microsoftcorporation', 'signoz.io', 'splunk']","['@datadog', '@microsoft (@kinvolk)', '@splunk', 'Epsagon', 'Lightstep', 'Microsoft Corporation', 'signoz.io']",,6.08,300,171,40,0,10,11,10,299.0,363.0,90.0,1.2,0,52.15824
+254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,401,87,21,Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2023-02-20,2020-08-12,132,3.037878787878788,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",2023-02-17,25,"['OctoberChang@amazon', 'Patrick-H-Chen', 'bhl00@sfhacksdubhacks', 'dependabot[bot]', 'hallogameboy@amazonsearchandai', 'jiong-zhang', 'nishant4995', 'rofuyu', 'weiliw-amz', 'yaushian']",3,10,"['amazon', 'amazonsearchandai', 'sfhacksdubhacks']","['@sfhacks @dubhacks', 'Amazon', 'Amazon Search and AI']",,1.12,44,42,31,0,2,2,2,44.0,21.0,90.0,0.5,0,34.49137
+577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,395,51,10,Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2023-02-01,2015-04-09,410,0.9614047287899861,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",2023-01-11,33,"['bsipocz@caltech/ipac', 'ceball', 'fangohr@mpsd&universityofsouthampton', 'gliptak', 'kanderso-nrel@nationalrenewableenergylaboratory', 'maxalbert', 'minrk@simularesearchlaboratory', 'takluyver', 'vidartf', 'wence-']",4,10,"['caltech/ipac', 'mpsd&universityofsouthampton', 'nationalrenewableenergylaboratory', 'simularesearchlaboratory']","['Caltech/IPAC', 'MPSD & University of Southampton', 'National Renewable Energy Laboratory', 'Simula Research Laboratory']",,0.25,9,7,96,1,0,2,2,9.0,10.0,90.0,1.1,0,35.67526
+841,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,395,19,7,Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2023-02-15,2022-10-22,17,22.479674796747968,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",2022-11-18,1,['carlospuenteg'],0,10,[],[],,0.77,1,0,4,3,13,40,13,1.0,1.0,90.0,1.0,0,11.56456
+528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,390,79,27,Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2023-01-27,2018-02-02,263,1.4788732394366197,"['multimodality', 'machine-learning', 'knowledge-base-construction']",2021-06-23,14,"['HiromuHota@https://snorkel.ai/', 'KenSugimoto@hitachiamerica,ltd.', 'YasushiMiyata', 'annelhote@mesr', 'bhancock8@snorkel-ai', 'j-rausch', 'lukehsiao@numbersstationai', 'payalbajaj', 'senwu', 'wajdikhattel@think-it-labs']",6,10,"['hitachiamerica,ltd.', 'https://snorkel.ai/', 'mesr', 'numbersstationai', 'snorkel-ai', 'think-it-labs']","['@NumbersStationAI ', '@Think-iT-Labs', '@snorkel-ai ', 'Hitachi America, Ltd.', 'MESR', 'https://snorkel.ai/']",,0.0,0,0,62,20,0,6,6,0.0,0.0,90.0,0.0,0,23.19624
+185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,389,53,10,Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2023-02-16,2020-08-17,131,2.9630032644178455,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",2022-12-20,3,"['WillianFuks', 'glentakahashi', 'kjappelbaum@epfl']",1,10,['epfl'],['EPFL'],,0.21,6,5,31,2,8,6,8,6.0,15.0,90.0,2.5,0,25.18055
+561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,386,67,14,Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2023-02-20,2016-09-08,336,1.1458863443596268,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",2023-02-06,20,"['EwoutH', 'choldgraf@ucberkeley', 'darribas', 'dependabot[bot]', 'hugovk@nordsoftware', 'jGaboardi@ornl', 'jorisvandenbossche', 'ljwolf@geogbristol', 'martinfleis', 'ocefpaf']",4,10,"['geogbristol', 'nordsoftware', 'ornl', 'ucberkeley']","['@geogbristol ', 'Nord Software', 'ORNL', 'UC Berkeley']",,0.15,14,11,79,0,1,1,1,14.0,12.0,90.0,0.9,0,34.84159
+929,util,https://github.com/heuer/segno,,,,heuer/segno,segno,385,42,11,Python,https://pypi.org/project/segno/,segno: Python QR Code and Micro QR Code encoder,heuer,2023-02-19,2016-08-04,341,1.1262014208106979,"['qrcode', 'barcode', 'micro-qrcode', 'matrix-barcode', 'qr-code', 'segno', 'python', 'qr-generator', 'iso-18004', 'structured-append', 'python-qrcode', 'micro-qr-code']",2022-12-10,9,"['DerBiasto', 'barbashovtd', 'bitcoinhodler', 'christian-oudard', 'eduardomazolini@intera', 'heuer', 'jayaddison', 'neycyanshi', 'stefanoborini@astrazenecauk']",2,10,"['astrazenecauk', 'intera']","['AstraZeneca UK', 'Intera']",,0.81,3,1,80,2,1,7,1,3.0,4.0,90.0,1.3,0,27.05394
+12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,385,145,53,Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2023-02-05,2017-10-24,278,1.384180790960452,"['python', 'machine-learning', 'dialogflow']",2023-02-16,34,"['busunkim96@googleapis', 'crwilcox@googlecloud', 'dandhlee@googlecloudplatform', 'galz10@google', 'gcf-owl-bot[bot]', 'lukesneeringer@highsignalsystems', 'parthea@google', 'release-please[bot]', 'renovate-bot@mend', 'yoshi-automation@googleapis']",6,10,"['google', 'googleapis', 'googlecloud', 'googlecloudplatform', 'highsignalsystems', 'mend']","['@GoogleCloudPlatform', '@googleapis', '@mend', 'Google', 'Google ', 'Google Cloud', 'High Signal Systems']",,2.12,29,28,65,0,15,9,15,29.0,31.0,90.0,1.1,0,44.35539
+496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,384,23,7,Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2023-02-20,2022-01-24,56,6.822335025380711,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",2022-11-29,3,['jlyang1990@linkedincorporation'],1,10,['linkedincorporation'],['LinkedIn Corporation'],,0.15,6,3,13,3,2,3,2,6.0,15.0,90.0,2.5,0,20.11946
+331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,384,21,9,Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2023-02-17,2021-11-08,67,5.707006369426751,"['recommender-system', 'machine-learning', 'qa-automation']",2023-01-26,7,"['briankosw', 'jacopotagliabue', 'nsbits', 'patrickjohncyh', 'vinid@stanforduniversity']",1,10,['stanforduniversity'],['Stanford University'],,0.65,11,3,16,1,0,5,5,11.0,4.0,90.0,0.4,0,22.54706
+492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,379,88,66,Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2023-02-10,2017-10-06,280,1.3501272264631043,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",2023-02-15,21,"['DanSchoppe', 'benjaminleighton@csiro', 'chrieke@up42', 'emmanuelmathot@terradue', 'fredliporace@amskepler', 'kant', 'kylebarron', 'samsammurphy@ecmwf', 'sgillies@planetlabs', 'vincentsarago@developmentseed']",7,10,"['amskepler', 'csiro', 'developmentseed', 'ecmwf', 'planetlabs', 'terradue', 'up42']","['@Terradue', '@developmentseed ', '@planetlabs', '@up42', 'AMS Kepler', 'CSIRO', 'ECMWF']",,1.13,19,16,65,0,0,23,23,19.0,6.0,90.0,0.3,0,41.11773
+747,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,378,93,17,Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2023-02-18,2021-08-17,79,4.776173285198556,[],2023-01-09,10,"['OriolAbril', 'aloctavodia@imasl-conicet', 'canyon289', 'dependabot[bot]', 'erocarrera', 'ikarosilva@philips', 'jmshea@universityofflorida', 'junpenglao@google', 'paw-lu']",4,10,"['google', 'imasl-conicet', 'philips', 'universityofflorida']","['@google ', 'IMASL-CONICET', 'Philips', 'University of Florida']",,0.52,8,3,18,1,0,0,0,8.0,6.0,90.0,0.8,0,25.72526
+756,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,372,32,5,Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2023-02-20,2022-09-13,23,16.074074074074073,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",2023-01-09,1,['samuela'],0,10,[],[],,0.46,5,1,5,1,0,0,0,5.0,10.0,90.0,2.0,0,11.6321
+335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,371,120,12,Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2023-02-21,2021-11-14,66,5.58494623655914,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",2022-07-16,2,"['KittyBorgX', 'mrdbourke']",0,10,[],[],,0.06,0,0,15,7,0,0,0,0.0,0.0,90.0,0.0,0,4.83454
+49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,367,59,11,Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2023-02-14,2015-08-03,394,0.9307971014492754,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository', 'readonly']",2023-02-14,374,"['alex', 'amauryfa', 'antocuni', 'bdkearns', 'cfbolz', 'fijal@pypy,baroquesoftware', 'mattip@quansightlabs', 'mwhudson@canonicalltd', 'pedronis', 'rlamy']",3,10,"['canonicalltd', 'pypy,baroquesoftware', 'quansightlabs']","['@CanonicalLtd', 'PyPy, baroquesoftware', 'Quansight Labs']",,11.08,1,0,92,0,0,22,22,1.0,0.0,90.0,0.0,0,44.61147
+560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,364,61,14,Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2023-02-21,2019-04-16,201,1.8096590909090908,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",2023-02-07,29,"['RichardScottOZ@ozminerals', 'alexamici@bopen', 'cheginit@universityofhouston', 'davidbrochart@quantstack', 'mraspaud@smhi', 'mwtoews@gnsscience', 'raybellwaves@dtn', 'remi-braun@icube-sertit', 'scottyhq@universityofwashington,uwescience', 'snowman2@corteva']",10,10,"['bopen', 'corteva', 'dtn', 'gnsscience', 'icube-sertit', 'ozminerals', 'quantstack', 'smhi', 'universityofhouston', 'universityofwashington,uwescience']","['@QuantStack', '@bopen', '@corteva ', 'DTN', 'GNS Science', 'ICube-SERTIT', 'OZ Minerals', 'SMHI', 'University of Houston', 'University of Washington, @uwescience']",,2.27,29,19,47,0,14,16,14,29.0,58.0,90.0,2.0,0,46.5875
+586,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,364,47,16,Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2023-02-21,2018-03-30,255,1.423463687150838,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",2023-01-09,10,"['AleFeli', 'PratyushTripathy', 'Thaulino', 'amorfinv', 'gregmaya', 'jGaboardi@ornl', 'kopytjuk', 'martinfleis', 'matthew-law', 'phuismann@gas-undwärme-institutessen']",2,10,"['gas-undwärme-institutessen', 'ornl']","['Gas- und Wärme-Institut Essen', 'ORNL']",,0.98,26,11,60,1,2,3,2,26.0,64.0,90.0,2.5,0,32.83054
+522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,361,40,16,Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2023-02-14,2019-06-10,193,1.8677014042867701,[],2022-12-14,13,"['0phoff@eavise,kuleuven', 'brendan-ward@astutespruce', 'caspervdw@nelen&schuurmans', 'chaitan94@adonmo(adonmo)', 'jamesmyatt@capgeminiengineering', 'jorisvandenbossche', 'martinfleis', 'martinlackner@tuwien', 'mwtoews@gnsscience', 'snowman2@corteva']",8,10,"['adonmo(adonmo)', 'astutespruce', 'capgeminiengineering', 'corteva', 'eavise,kuleuven', 'gnsscience', 'nelen&schuurmans', 'tuwien']","['@corteva ', 'Adonmo (@adonmo)', 'Astute Spruce, LLC', 'Capgemini Engineering', 'EAVISE, KU Leuven', 'GNS Science', 'Nelen & Schuurmans', 'TU Wien']",,0.19,19,18,45,2,2,5,2,19.0,12.0,90.0,0.6,0,33.1215
+519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,360,50,14,Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2023-01-20,2016-03-28,360,0.9992069785884219,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",2022-10-14,15,"['JingMatrix', 'anjiro@universityofcopenhagen', 'eboix', 'jskrzypek@resonance', 'mjd3@ambirobotics', 'mozzsa', 'poke1024@leipziguniversity', 'sanatladkat', 'timsavage@westpac', 'wolfv@prefix.devgmbh']",6,10,"['ambirobotics', 'leipziguniversity', 'prefix.devgmbh', 'resonance', 'universityofcopenhagen', 'westpac']","['@resonance ', 'Ambi Robotics', 'Leipzig University', 'University of Copenhagen', 'Westpac', 'prefix.dev GmbH']",,0.08,4,0,84,4,0,0,0,4.0,1.0,90.0,0.2,0,26.17292
+499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,360,72,20,Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2023-02-20,2020-07-10,136,2.633228840125392,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",2021-07-26,2,['zengyh1900@openmmlab'],1,10,['openmmlab'],['OpenMMLab'],,0.0,0,0,32,19,0,0,0,0.0,0.0,90.0,0.0,0,7.66416
+563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,357,35,23,Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2023-02-18,2020-02-13,157,2.2615384615384615,[],2023-01-23,17,"['DahnJ@sylveraio', 'TomAugspurger@microsoft', 'fbunt', 'gadomski@element84', 'jorisvandenbossche', 'jsignell@azavea', 'martinfleis', 'raybellwaves@dtn', 'slumnitz@europeanspaceagency,esrin', 'tastatham@mr']",7,10,"['azavea', 'dtn', 'element84', 'europeanspaceagency,esrin', 'microsoft', 'mr', 'sylveraio']","['@Element84', '@SylveraIO', '@azavea', '@microsoft', 'DTN', 'European Space Agency, ESRIN', 'Mr']",,0.44,19,10,37,1,7,4,7,19.0,30.0,90.0,1.6,0,37.5218
+902,util,https://github.com/ofek/pypinfo,,,,ofek/pypinfo,pypinfo,356,31,14,Python,,pypinfo: Easily view PyPI download statistics via Google's BigQuery.,ofek,2023-02-20,2017-05-13,301,1.1804831833254381,"['python', 'bigquery', 'pypi', 'statistics']",2022-11-30,9,"['JulienPalard', 'bskinn@openteams', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'jwilk', 'mayeut', 'ofek@datadog', 'rahiel@kabisa', 'tswast@google']",6,10,"['datadog', 'google', 'kabisa', 'nordsoftware', 'openteams', 'pioneervalleybooks']","['@datadog', '@kabisa', 'Google', 'Nord Software', 'OpenTeams', 'Pioneer Valley Books']",,0.29,2,1,70,3,0,4,4,1.0,4.0,90.0,4.0,0,34.33698
+510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,355,57,17,Python,,"keras_cv_attention_models: Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2023-02-21,2021-08-02,81,4.367311072056239,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",2023-02-18,4,"['AminHP@koala-team', 'awsaf49@wandb', 'dcleres@resmonicsag', 'leondgarse']",3,10,"['koala-team', 'resmonicsag', 'wandb']","['@koala-team', '@wandb', 'Resmonics AG']",,6.31,9,7,19,0,21,67,21,9.0,31.0,90.0,3.4,0,36.81393
+237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,349,64,13,Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022),salesforce,2023-02-17,2021-08-25,78,4.4743589743589745,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",2023-01-17,6,"['Emerald01@salesforceresearch', 'blchu', 'sunil-s@salesforceresearch', 'svc-scm']",1,10,['salesforceresearch'],['Salesforce Research'],,2.29,13,13,18,1,2,1,2,13.0,18.0,90.0,1.4,0,25.64781
+978,ml,https://github.com/tanelp/tiny-diffusion,,,,tanelp/tiny-diffusion,tiny-diffusion,348,21,6,Jupyter Notebook,,tiny-diffusion: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.,tanelp,2023-02-19,2023-01-13,5,60.9,[],2023-02-19,1,['tanelp'],0,10,[],[],,0.06,1,1,1,0,0,0,0,1.0,0.0,90.0,0.0,0,4.67185
+692,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,348,55,13,Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2023-02-10,2019-06-27,190,1.8233532934131738,[],2021-06-23,7,"['PiotrCzapla', 'RJT1990', 'VXenomac@xyzlab', 'mkardas', 'rstojnic', 'timbmg@ukplab,tudarmstadt']",2,10,"['ukplab,tudarmstadt', 'xyzlab']","['@xyzlab ', 'UKP Lab, TU Darmstadt']",,0.0,1,0,44,20,0,0,0,1.0,0.0,90.0,0.0,0,13.4829
+340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,346,30,9,Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2023-02-10,2017-06-03,298,1.1588516746411484,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",2020-09-06,2,"['Aareon', 'FedericoCeratto@ooni/torproject/debian']",1,10,['ooni/torproject/debian'],['OONI / Tor Project / Debian'],,0.0,0,0,70,30,0,0,0,0.0,0.0,90.0,0.0,0,8.46859
+848,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,346,60,117,Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2023-02-19,2014-02-12,471,0.7346072186836518,"['satellite', 'pxm', 'imagery']",2021-10-22,20,"['brendan-ward@astutespruce', 'daniel-j-h@robofarmio', 'dnomadb', 'fxjung@tudresden', 'kapadia@planetlabs', 'perrygeo', 'pratikyadav@mapbox', 'samsammurphy@ecmwf', 'sgillies@planetlabs', 'youngpm']",6,10,"['astutespruce', 'ecmwf', 'mapbox', 'planetlabs', 'robofarmio', 'tudresden']","['@planetlabs', '@planetlabs ', '@robofarmio ', 'Astute Spruce, LLC', 'ECMWF', 'Mapbox', 'TU Dresden']",,0.0,0,0,110,16,0,4,4,0.0,0.0,90.0,0.0,0,25.43303
+158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,345,38,15,Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2023-02-06,2020-02-26,156,2.2115384615384617,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",2022-11-29,15,"['MSeal@noteable-io', 'alonme', 'bensenberner@doordash', 'dav009', 'fcollonval@quantstack', 'lfunderburk@seaspancorporation', 'nastra@tabular-io', 'rohitsanj@noteable-io', 'ronnie-llamado', 'willingc@willingconsulting']",6,10,"['doordash', 'noteable-io', 'quantstack', 'seaspancorporation', 'tabular-io', 'willingconsulting']","['@QuantStack', '@noteable-io', '@tabular-io', 'DoorDash', 'Seaspan Corporation', 'Willing Consulting']",,0.04,11,2,36,3,0,5,5,11.0,8.0,90.0,0.7,0,30.6549
+684,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,344,118,16,Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2023-02-20,2013-01-05,528,0.6508108108108108,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",2023-01-03,45,"['MiWeiss@universitàdellasvizzeraitaliana(testingautomated-usi)', 'Phyks', 'bcbnz', 'cao@ruhruniversitybochum', 'drakeguan@kkstream', 'flopraden@quicksign', 'grochmal', 'michaelfruth@universityofpassau', 'omangin', 'sciunto@paris-saclayuniversity']",6,10,"['kkstream', 'paris-saclayuniversity', 'quicksign', 'ruhruniversitybochum', 'universityofpassau', 'universitàdellasvizzeraitaliana(testingautomated-usi)']","['KKStream', 'Paris-Saclay University', 'QuickSign', 'Ruhr University Bochum', 'University of Passau', 'Università della Svizzera Italiana (@testingautomated-usi)']",,0.65,12,9,123,2,2,2,2,12.0,9.0,90.0,0.8,0,37.86279
+464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,341,54,9,Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2023-01-30,2018-04-15,253,1.3455467869222097,[],2022-07-09,8,"['Jabb0', 'arlenk', 'dmarx@stability.ai,eleuther.ai', 'lolamathematician', 'melaniewalsh', 'mental32@iworkoncompilersandstuff.', 'robhawkins', ""wassname@i'mjustaguywholikestomachinelearn""]",3,10,"[""i'mjustaguywholikestomachinelearn"", 'iworkoncompilersandstuff.', 'stability.ai,eleuther.ai']","['I work on compilers and stuff.', ""I'm just a guy who likes to machine learn"", 'Stability.ai, Eleuther.ai']",,0.04,5,1,59,8,0,0,0,5.0,8.0,90.0,1.6,0,23.36265
+664,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,339,179,18,Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2023-02-18,2020-08-06,132,2.5516129032258066,[],2020-12-03,1,"['rasbt@lightning-ai,universityofwisconsin-madison']",1,10,"['lightning-ai,universityofwisconsin-madison']","['@Lightning-AI , University of Wisconsin-Madison']",,0.0,0,0,31,27,0,0,0,0.0,0.0,90.0,0.0,0,5.64316
+719,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,336,132,15,JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2023-02-17,2018-03-07,259,1.2972972972972974,[],2023-02-20,11,"['ElliotSalisbury', 'PolarNick239@agisoft-', 'bw4sz@weecology', 'cbudac-fwig', 'davidnyberg', 'dingyif@rbccapitalmarkets', 'dwaipayan05', 'ethanwhite@weecology,univofflorida', 'henrykironde@universityofflorida']",5,10,"['agisoft-', 'rbccapitalmarkets', 'universityofflorida', 'weecology', 'weecology,univofflorida']","['@agisoft-llc ', '@weecology ', '@weecology, Univ of Florida ', 'RBC Capital Markets', 'University of Florida']",,0.4,26,7,60,0,0,13,13,26.0,52.0,90.0,2.0,0,39.39703
+943,sim,https://github.com/crflynn/stochastic,,,,crflynn/stochastic,stochastic,331,64,15,Python,http://stochastic.readthedocs.io/en/stable/,stochastic: Generate realizations of stochastic processes in python.,crflynn,2023-02-13,2017-02-17,313,1.0551001821493624,"['stochastic-processes', 'stochastic', 'stochastic-differential-equations', 'probability', 'stochastic-volatility-models', 'stochastic-simulation-algorithm']",2022-07-12,7,"['Anna-Strakovskaia', 'Gabinou', 'JJJerome', 'MichaelHogervorst', 'anntzer', 'crflynn', 'firefly-cpp']",0,10,[],[],,0.06,2,0,73,7,1,0,1,2.0,0.0,90.0,0.0,0,13.29685
+745,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,329,75,14,Python,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2023-02-07,2010-09-30,646,0.508613074204947,"['python', 'wrapper', 'blosc', 'compression']",2023-01-11,43,"['DimitriPapadopoulos@cea', 'FrancescAlted@francescalted', 'esc@anaconda', 'hmaarrfk@californiainstituteoftechnology', 'keszybz@redhat', 'lgarrison@scientificcomputingcore,flatironinstitute', 'oscargm98', 'robbmcleod@hitachihigh-techcanada', 'sdvillal', 'thewtex@kitware']",8,10,"['anaconda', 'californiainstituteoftechnology', 'cea', 'francescalted', 'hitachihigh-techcanada', 'kitware', 'redhat', 'scientificcomputingcore,flatironinstitute']","['@FrancescAlted', '@Kitware', 'Anaconda Inc.', 'CEA', 'California Institute of Technology', 'Hitachi High-tech Canada Inc.', 'Red Hat', 'Scientific Computing Core, Flatiron Institute']",,0.96,25,23,151,1,1,4,1,25.0,26.0,90.0,1.0,0,41.06758
+727,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,328,20,22,JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2023-02-18,2021-07-27,82,3.9930434782608697,[],2023-02-15,8,"['cclauss@christianclauss', 'cpsievert@rstudio', 'fpgmaas@freelance', 'gregswinehart', 'jcheng5@rstudio', 'jonmoore', 'schloerke@rstudio', 'wch@posit-pbc']",4,10,"['christianclauss', 'freelance', 'posit-pbc', 'rstudio']","['@posit-pbc', '@rstudio', '@rstudio ', 'Christian Clauss', 'Freelance']",,9.02,30,11,19,0,8,7,8,30.0,22.0,90.0,0.7,0,35.50042
+364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,326,146,39,Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2023-02-14,2018-09-03,233,1.3974280465401103,[],2021-08-26,41,"['Jeffwan@bytedance', 'abhi-g@google', 'hamedhsn@playstation', 'jinchihe@ibm', 'jlewi', 'karthikv2k@google', 'r2d4', 'rpasricha', 'wbuchwalter@microsoftresearch', 'xauthulei@ibm']",5,10,"['bytedance', 'google', 'ibm', 'microsoftresearch', 'playstation']","['@google ', 'Bytedance', 'Google', 'IBM', 'Microsoft Research', 'Playstation']",,0.0,0,0,54,18,0,1,1,0.0,0.0,90.0,0.0,0,22.96074
+500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,325,147,19,Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2023-02-18,2020-11-18,118,2.7542372881355934,[],2022-11-21,6,"['enakai00', 'lakshmanok', 'martin-gorner@google', 'ryangillard']",1,10,['google'],['Google'],,0.08,1,0,28,3,0,0,0,1.0,1.0,90.0,1.0,0,17.18696
+960,nlp,https://github.com/cqcl/lambeq,,,,cqcl/lambeq,lambeq,323,70,25,Python,https://cqcl.github.io/lambeq,lambeq: A high-level Python library for Quantum Natural Language Processing,cqcl,2023-02-18,2021-10-10,71,4.522,[],2023-01-09,8,"['KentaroAOKI', 'Thommy257', 'dimkart', 'ianyfan', 'kinianlo', 'y-richie-y']",0,10,[],[],,0.19,6,3,17,1,9,9,9,6.0,10.0,90.0,1.7,0,22.38168
+594,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,320,261,30,Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2023-02-20,2012-01-13,579,0.5519960571710202,[],2023-02-20,140,"['JuergenWeichand', 'bradh', 'cehbrecht', 'daf', 'huard@ouranos', 'jachym@opengeolabs,maptiler', 'kalxas@opensourcegeospatialfoundation', 'kwilcox@axiom-data-science', 'sgillies@planetlabs', 'tomkralidis@geopythonwmo-imopengeospatial']",6,10,"['axiom-data-science', 'geopythonwmo-imopengeospatial', 'opengeolabs,maptiler', 'opensourcegeospatialfoundation', 'ouranos', 'planetlabs']","['@OpenGeoLabs , @maptiler ', '@axiom-data-science ', '@geopython @wmo-im @opengeospatial', '@planetlabs', 'Open Source Geospatial Foundation', 'Ouranos']",,1.1,27,14,135,0,4,7,4,27.0,39.0,90.0,1.4,0,47.00517
+967,ml-dl,https://github.com/suanrong/sdne,,,,suanrong/sdne,SDNE,310,124,10,Python,http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding,SDNE: This is a implementation of SDNE (Structural Deep Network embedding),suanrong,2023-01-04,2016-11-30,325,0.9538461538461539,[],2021-09-10,6,['suanrong@tsinghuauniversity'],1,10,['tsinghuauniversity'],['Tsinghua University'],,0.0,0,0,76,18,0,0,0,0.0,0.0,90.0,0.0,0,12.2092
+788,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,306,98,6,Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2023-02-16,2020-04-12,149,2.0478011472275335,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",2023-01-18,2,"['ianozsvald@http://morconsulting.com/', 'mynameisfiber@digital-witness-lab']",2,10,"['digital-witness-lab', 'http://morconsulting.com/']","['@digital-witness-lab ', 'http://morconsulting.com/']",,0.02,0,0,35,1,0,0,0,0.0,0.0,90.0,0.0,0,15.5492
+827,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorchAI,306,21,9,Python,https://kanchanchy.github.io/geotorchai/,GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036),datasystemslab,2023-02-15,2022-05-23,39,7.789090909090909,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",2023-02-05,4,"['Sarwat@wherobots', 'kanchan-chy@amberit', 'kanchanchy']",2,10,"['amberit', 'wherobots']","['Amber IT', 'Wherobots Inc.']",,2.6,21,12,9,1,1,1,1,21.0,25.0,90.0,1.2,0,24.4545
+473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,306,32,7,Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2023-02-17,2022-02-10,53,5.681697612732095,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",2022-10-05,1,['Nyandwi@cargeniemellon'],1,10,['cargeniemellon'],['Cargenie Mellon'],,0.52,0,0,13,5,0,0,0,0.0,0.0,90.0,0.0,0,8.10713
+930,ml,https://github.com/google-research/maxvit,,,,google-research/maxvit,maxvit,306,19,6,Jupyter Notebook,,"[ECCV 2022] Official repository for ""MaxViT: Multi-Axis Vision Transformer"". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...",google-research,2023-02-21,2022-07-07,32,9.31304347826087,"['architecture', 'classification', 'cnn', 'computer-vision', 'image', 'image-processing', 'mlp', 'object-detection', 'transformer', 'transformer-architecture', 'vision-transformer', 'segmentation', 'resnet']",2022-10-23,1,['Yinxiaoli@columbiauniversity'],1,10,['columbiauniversity'],['Columbia University'],,0.06,6,4,8,4,0,0,0,6.0,5.0,90.0,0.8,0,11.80627
+430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,298,36,11,TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2023-01-30,2018-08-14,236,1.2619479733817303,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",2022-07-18,7,"['Queuecumber@researchscientistnvidia', 'carmark', 'chaoleili', 'consideRatio@sundellopensourceconsultingab', 'dependabot[bot]', 'twalcari@imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'wexder']",3,10,"['imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'researchscientistnvidia', 'sundellopensourceconsultingab']","['Research Scientist @NVIDIA', 'Sundell Open Source Consulting AB', 'imec - IDLab, Department of Information Technology, Ghent University, Belgium']",,0.0,0,0,55,7,0,0,0,0.0,0.0,90.0,0.0,0,17.31958
+939,web,https://github.com/dmontagu/fastapi_client,,,,dmontagu/fastapi_client,fastapi_client,294,39,8,Python,,fastapi_client: FastAPI client generator,dmontagu,2023-02-16,2019-08-03,185,1.584295612009238,[],2021-02-11,8,"['ChristopheLallement', 'Toumetis', 'b0g3r@semrush', 'daveholladay', 'dmontagu@formlogic', 'fj-sanchez']",2,10,"['formlogic', 'semrush']","['@semrush', 'Formlogic']",,0.0,0,0,43,25,0,0,0,0.0,0.0,90.0,0.0,0,12.75052
+300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,293,62,9,Python,,openai/grade-school-math,openai,2023-02-20,2021-10-20,70,4.185714285714286,[],2021-11-19,2,"['kcobbe', 'vineetsk10@openai']",1,10,['openai'],['OpenAI'],,0.0,1,0,16,15,0,0,0,1.0,0.0,90.0,0.0,0,7.06312
+884,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,291,53,18,Python,https://pastas.readthedocs.io,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2023-02-17,2016-04-15,357,0.8134984025559105,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",2023-02-07,17,"['EitvanderMeulen@amo', 'Hugovdberg@brabantwater', 'OnnoEbbens', 'dbrakenhoff@artesiawater', 'dcslagel@codefarm', 'martinvonk', 'mbakker7@tudelft', 'raoulcollenteur@karl-franzensuniversityofgraz', 'rubencalje@artesia-water', 'saklop']",7,10,"['amo', 'artesia-water', 'artesiawater', 'brabantwater', 'codefarm', 'karl-franzensuniversityofgraz', 'tudelft']","['AMO', 'Artesia Water', 'Artesia-water', 'Brabant Water', 'Code Farm LLC', 'Karl-Franzens University of Graz', 'TU Delft']",,4.73,158,115,83,0,7,4,7,158.0,298.0,90.0,1.9,0,47.04193
+946,web,https://github.com/aeternalis-ingenium/fastapi-backend-template,,,,aeternalis-ingenium/fastapi-backend-template,FastAPI-Backend-Template,288,48,9,Python,,"FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.",aeternalis-ingenium,2023-02-20,2022-12-05,11,25.518987341772153,"['asynchronous', 'docker', 'docker-compose', 'fastapi', 'postgresql', 'python', 'sqlalchemy', 'codecov', 'githubactions', 'jwt', 'pre-commit', 'alembic', 'asyncpg', 'coverage', 'pytest']",2023-02-05,4,"['Aeternalis-Ingenium@j.a.r.v.i.s.', 'cclauss@christianclauss', 'kumaravelabinbev', 'pre-commit-ci[bot]']",2,10,"['christianclauss', 'j.a.r.v.i.s.']","['Christian Clauss', 'J. A. R.V. I. S.']",,1.19,13,12,3,1,0,0,0,13.0,3.0,90.0,0.2,0,17.2391
+574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,281,85,49,Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2023-01-24,2017-05-02,303,0.9269557021677662,[],2021-02-16,6,"['bluetyson', 'kylebarron', 'matthewhanson@element84', 'robertd', 'seilerman@jupiter', 'vincentsarago@developmentseed']",3,10,"['developmentseed', 'element84', 'jupiter']","['@developmentseed ', '@element84', 'Jupiter']",,0.0,2,0,71,24,0,1,1,2.0,0.0,90.0,0.0,0,16.76788
+524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,280,92,11,Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2023-01-31,2016-06-25,347,0.8055898068228524,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",2022-12-14,46,"['KyleJamesWalker@zefr', 'b0rken', 'bghinkle', 'brandond@rancher', 'dependabot[bot]', 'mikereinhold', 'pdecat@claranet', 'pvbouwel', 'trav-c', 'venth']",3,10,"['claranet', 'rancher', 'zefr']","['@claranet', '@rancher', 'ZEFR']",,2.04,14,5,81,2,20,17,20,14.0,9.0,90.0,0.6,0,37.98202
+342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,275,19,4,Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2023-02-20,2017-09-22,282,0.9727134916624558,['python'],2023-02-04,5,"['MicaelJarniac@micaeljarniac', 'avylove', 'bunjiboys', 'sourcery-ai[bot]']",1,10,['micaeljarniac'],['Micael Jarniac'],,0.73,3,2,66,1,3,5,3,3.0,4.0,90.0,1.3,0,25.62278
+123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,274,37,7,Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2023-02-06,2013-03-05,520,0.5267783575940675,[],2022-12-11,22,"['GhostofGoes', 'brechtm@opqode', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'jwilk', 'mauritsvanrees@zestsoftware', 'mgedmin@programmersofvilnius', 'myint', 'phijor', 'tobiasraabe@quantilope']",6,10,"['nordsoftware', 'opqode', 'pioneervalleybooks', 'programmersofvilnius', 'quantilope', 'zestsoftware']","['@opqode ', '@quantilope', '@zestsoftware ', 'Nord Software', 'Pioneer Valley Books', 'Programmers of Vilnius']",,0.58,2,2,121,2,0,6,6,2.0,4.0,90.0,2.0,0,37.70974
+210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,274,24,5,Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2023-02-20,2021-05-27,90,3.0157232704402515,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",2021-05-28,3,"['Gl0deanR@belike', 'tiangolo']",1,10,['belike'],['beLIKE'],,0.0,1,0,21,21,0,1,1,1.0,0.0,90.0,0.0,0,8.94624
+385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,272,35,7,Python,,contractions: Fixes contractions such as `you're` to `you are`,kootenpv,2023-02-19,2016-12-25,321,0.8462222222222222,[],2022-11-15,14,"['Kev-Y-Huang', 'Wan-Yifei', 'christian-storm@independentresearch', 'daikikatsuragawa@japan', 'harshasomisetty', 'kootenpv@vankootenaisolutions/ex-mgnr', 'maximkir-fl', 'misha345a', 'nickumia', 'sajal2692@unscramblinc']",4,10,"['independentresearch', 'japan', 'unscramblinc', 'vankootenaisolutions/ex-mgnr']","['Independent Research', 'Japan', 'Unscrambl Inc', 'Van Kooten AI Solutions / ex-mgnr']",,0.1,1,1,75,3,0,0,0,1.0,1.0,90.0,1.0,0,26.66134
+418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,272,17,11,Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2023-02-17,2018-01-25,264,1.0269687162891046,['pandas'],2023-02-03,9,"['Zsailer@apple', 'asmirnov69', 'ericmjl', 'eyaltrabelsi@bigabid', 'haimjether', 'musicinmybrain', 'partev', 'pre-commit-ci[bot]', 'toddrme2178']",2,10,"['apple', 'bigabid']","['Apple', 'Bigabid']",,1.06,6,3,62,1,1,1,1,6.0,7.0,90.0,1.2,0,28.32898
+307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,270,141,18,Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2023-02-13,2017-02-07,315,0.85675430643699,"['ethereum', 'python', 'utility-library']",2022-11-17,31,"['Alegzander', 'Christofon', 'carver@ethereumfoundation', 'cburgdorf', 'davesque', 'gsalgado', 'kclowes', 'njgheorghita@ethereum', 'pipermerriam@ethereumfoundation', 'reiven']",2,10,"['ethereum', 'ethereumfoundation']","['@ethereum ', 'Ethereum Foundation']",,0.31,4,2,74,3,0,10,10,4.0,1.0,90.0,0.2,0,29.53826
+852,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,267,11,6,Python,,hstream: Hyper Stream,conradbez,2023-01-29,2022-11-03,15,16.83783783783784,[],2023-02-10,5,"['blackary@streamlit', 'charliec443', 'collingreen', 'conradbez', 'thewchan']",1,10,['streamlit'],['Streamlit'],,0.81,0,0,4,0,0,0,0,0.0,0.0,90.0,0.0,0,13.30904
+714,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,263,38,4,Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2023-02-18,2021-11-17,66,3.984848484848485,"['machine-learning', 'mlops', 'hacktoberfest']",2022-12-21,15,"['MrKrishnaAgarwal@letsopen-source', 'Smartmind12', 'SmritiSatyanV', 'bilal-aamer', 'cosmicBboy@unionai', 'eapolinario', 'evalsocket@unionai', 'jonwiggins@chartbeatillinoishackny', 'sugatoray@universityofwisconsin-milwaukee', 'zevisert@revelasystems']",5,10,"['chartbeatillinoishackny', 'letsopen-source', 'revelasystems', 'unionai', 'universityofwisconsin-milwaukee']","['@Chartbeat @Illinois @hackny', '@LetsOpen-Source', '@unionai', 'Revela Systems', 'University of Wisconsin - Milwaukee', 'unionai']",,4.5,23,4,15,2,18,15,18,23.0,10.0,90.0,0.4,0,33.44889
+508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,263,59,15,JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2023-02-19,2019-08-19,183,1.4349181605611847,[],2023-02-18,36,"['EricMichaelSmith', 'Etesam913@spectatorpublishingcorrelation-one', 'JackUrb', 'bottler', 'dependabot[bot]', 'jxmsML@facebookresearch', 'mojtaba-komeili@facebookresearch', 'pringshia', 'salelkafrawy', 'sghmk12@federato']",3,10,"['facebookresearch', 'federato', 'spectatorpublishingcorrelation-one']","['@facebookresearch ', '@spectatorpublishing  @correlation-one ', 'Federato']",,14.0,81,71,43,0,5,6,5,81.0,68.0,90.0,0.8,0,42.36031
+670,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,261,80,26,C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2023-02-09,2015-03-14,414,0.629565816678153,[],2023-02-20,21,"['WillieMaddox', 'afabri@geometryfactory', 'dependabot[bot]', 'lrineau@geometryfactory', 'maxGimeno', 'sgiraudot', 'sloriot@geometryfactory', 'snoyer', 'thopiekar', 'xantares']",1,10,['geometryfactory'],['GeometryFactory'],,2.44,6,4,97,0,3,0,3,6.0,12.0,90.0,2.0,0,34.8825
+737,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,260,42,7,Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2023-02-16,2022-05-04,42,6.190476190476191,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",2023-02-14,13,"['BenjaminBossan', 'E-Aho@bumble-tech', 'EdAbati', 'adrinjalali@huggingface', 'anferico@pischool,translated', 'ayyucedemirbas', 'dependabot[bot]', 'eltociear@bandism', 'merveenoyan@huggingface', 'omar-araboghli@tib']",5,10,"['bandism', 'bumble-tech', 'huggingface', 'pischool,translated', 'tib']","['@PiSchool, @Translated', '@bandism ', '@bumble-tech', '@huggingface ', 'TIB']",,2.98,117,81,10,0,6,7,6,117.0,377.0,90.0,3.2,0,40.21635
+303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,259,28,8,Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2023-01-08,2021-08-27,77,3.332720588235294,[],2022-01-04,2,['yangkenneth@coinbase'],1,10,['coinbase'],['@coinbase'],,0.0,0,0,18,14,0,0,0,0.0,0.0,90.0,0.0,0,7.01559
+454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,258,60,16,Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2023-02-17,2013-12-06,480,0.5367013372956909,[],2023-02-01,12,"['ahmednoureldeen@cartologic', 'albarrentine', 'andrewharvey@alantgeo', 'candrsn@nlt', 'dionysio@bringg', 'fgregg@datamade,partner', 'hancush@datamade', 'iandees', 'ingalls@openaddressesdevelopmentseed', 'ramSeraph']",7,10,"['alantgeo', 'bringg', 'cartologic', 'datamade', 'datamade,partner', 'nlt', 'openaddressesdevelopmentseed']","['@bringg', '@cartologic', '@datamade', '@datamade, Partner', '@openaddresses @developmentseed', 'Alantgeo', 'NLT']",,0.4,4,0,112,1,2,2,2,4.0,3.0,90.0,0.8,0,33.3239
+826,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,258,30,10,Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2023-02-21,2022-10-31,16,15.842105263157896,[],2023-02-16,4,"['MaikoTan@awesomehamster', 'ThereforeGames', 'WeberSamuel', 'kylechallis']",1,10,['awesomehamster'],['@AwesomeHamster'],,2.42,48,28,4,0,0,0,0,48.0,137.0,90.0,2.9,0,24.67721
+480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,255,22,22,Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2023-02-13,2019-10-28,173,1.471558120362737,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",2023-01-09,9,"['Hoxbro', 'brl0@datum-tech', 'iameskild@quansight', 'ianthomas23@anaconda', 'jbednar@anaconda', 'jonmmease@hextechnologies', 'jrbourbeau@coiled', 'maximlt@anaconda', 'philippjfr@anaconda']",5,10,"['anaconda', 'coiled', 'datum-tech', 'hextechnologies', 'quansight']","['@Datum-Tech ', '@coiled ', '@quansight', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies']",,0.35,11,7,40,1,3,11,3,11.0,5.0,90.0,0.5,0,30.41929
+587,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,254,6,13,Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2023-02-16,2022-02-11,53,4.7287234042553195,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",2023-02-14,12,"['AdemFr', 'AlirezaSohofi@merantixlabs', 'AlpAribal', 'MaxSchambach@merantixmomentum', 'ThomasWollmann@merantix&pw-solutions', 'TiansuYu@idealointernetgmbh', 'axkoenig@merantixmomentum', 'kai-tub', 'pzdkn@merantix-momentum', 'winfried-ripken']",5,10,"['idealointernetgmbh', 'merantix&pw-solutions', 'merantix-momentum', 'merantixlabs', 'merantixmomentum']","['@merantix-momentum ', 'Idealo Internet GmbH', 'Merantix & PW-Solutions', 'Merantix Labs', 'Merantix Momentum']",,2.0,14,10,12,0,14,14,14,14.0,11.0,90.0,0.8,0,34.8932
+693,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,252,28,13,Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2022-12-26,2018-12-07,219,1.1469440832249675,[],2022-03-09,8,"['RJT1990', 'alefnula@https://alefnula.io', 'gcucurull', 'mkardas', 'omarsar@dair.ai', 'rstojnic', 'thatch', 'zeke@replicate']",3,10,"['dair.ai', 'https://alefnula.io', 'replicate']","['@replicate ', 'DAIR.AI', 'https://alefnula.io']",,0.02,0,0,51,12,0,4,4,0.0,0.0,90.0,0.0,0,19.17837
+374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,252,62,11,Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2023-02-21,2017-12-08,271,0.9274447949526814,[],2019-02-09,4,"['DavideA', 'TheZoc', 'kant', 'ndrplz@nomitri-perceptionaiformobile']",1,10,['nomitri-perceptionaiformobile'],['Nomitri - Perception AI for Mobile'],,0.0,5,1,63,49,0,0,0,5.0,5.0,90.0,1.0,0,13.10976
+248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,249,19,9,Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2023-02-10,2016-09-07,337,0.7388724035608308,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",2019-11-13,23,"['adamchainz@django,djangolondon', 'agonzalezro@auth0', 'alanc10n', 'angelabad', 'graingert', 'nathanleiby@engineeringstableauto', 'obestwalter@avira', 'philipn@encycla', 'rpgreen', 'vlcinsky']",5,10,"['auth0', 'avira', 'django,djangolondon', 'encycla', 'engineeringstableauto']","['@Auth0', '@Avira', '@django, @djangolondon', 'Encycla', 'Engineering @ Stable Auto']",,0.0,0,0,79,40,0,0,0,0.0,0.0,90.0,0.0,0,19.21007
+515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,248,123,13,Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2023-02-21,2020-09-17,126,1.954954954954955,"['data-science', 'machine-learning', 'datasets', 'python']",2022-11-01,3,"['BirajCoder@jovian', 'aakashns@jovianml']",2,10,"['jovian', 'jovianml']","['@JovianML', 'Jovian']",,0.13,3,0,30,4,0,0,0,3.0,1.0,90.0,0.3,0,15.9744
+888,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,248,27,6,Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2023-02-19,2022-11-03,15,15.63963963963964,"['python', 'roadmap', 'tutorial']",2023-01-04,1,['amaargiru@oznadigitalsolutions'],1,10,['oznadigitalsolutions'],['OZNA Digital Solutions'],,1.04,2,0,4,2,0,0,0,2.0,4.0,90.0,2.0,0,13.20316
+864,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,244,87,44,Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2023-02-20,2020-01-22,161,1.515527950310559,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",2023-02-10,48,"['andriisoldatenko', 'andscoop', 'cwurtz', 'danielhoherd@astronomer', 'ianstanton@coredb', 'kaxil@astronomer', 'pgvishnuram@astronomer', 'schnie@astronomer', 'sjmiller609@coredb', 'tedmiston@mandolin-dev']",3,10,"['astronomer', 'coredb', 'mandolin-dev']","['@astronomer', '@astronomer ', '@mandolin-dev', 'Astronomer', 'CoreDB']",,1.85,33,30,38,0,17,29,17,33.0,24.0,90.0,0.7,0,40.54065
+870,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,244,37,24,Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2023-02-20,2019-11-27,169,1.4437869822485208,[],2022-12-08,12,"['Arun-Niranjan@bud', 'BerenMillidge', 'alec-tschantz', 'conorheins', 'dependabot[bot]', 'mahault', 'pitmonticone@universityofturin']",2,10,"['bud', 'universityofturin']","['Bud', 'University of Turin']",,1.31,5,4,39,2,3,2,3,5.0,3.0,90.0,0.6,0,27.0733
+277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,243,47,31,Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2023-02-19,2017-02-22,313,0.7763578274760383,[],2022-05-09,12,"['danfrankj', 'delirious-lettuce', 'foxyblue', 'gloutsch', 'gthomas-slack@slack', 'harsham4026', 'kination@line', 'ljharb@tc39', 'matthewwardrop@datascientistatnetflix', 'naoyak@airbnb']",5,10,"['airbnb', 'datascientistatnetflix', 'line', 'slack', 'tc39']","['@airbnb', '@line', '@tc39', 'Data Scientist at @Netflix', 'Slack']",,0.04,1,1,73,10,1,12,1,1.0,1.0,90.0,1.0,0,25.75513
+657,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,243,46,11,Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2023-02-09,2018-11-26,221,1.0981278244028405,[],2023-01-03,59,"['CaselIT', 'bbangert@mozilla,nabucasa', 'bourke@iter8ve', 'donkopotamus', 'mindw', 'olduvaihand@google,inc', 'pjenvey@mozilla', 'vincent-ferotin', 'wichert@simplonb.v.', 'zzzeek@redhat']",6,10,"['google,inc', 'iter8ve', 'mozilla', 'mozilla,nabucasa', 'redhat', 'simplonb.v.']","['@mozilla, @NabuCasa', 'Google, Inc', 'Mozilla', 'Red Hat', 'Simplon B.V.', 'iter8ve']",,0.54,6,4,52,2,5,15,5,6.0,18.0,90.0,3.0,0,40.17338
+229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,243,24,10,Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2023-02-13,2020-06-15,140,1.7321792260692463,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",2023-02-14,5,"['dbanda@microsoft', 'jgc128', 'laserprec', 'microsoft-github-operations[bot]', 'microsoftopensource@microsoft']",1,10,['microsoft'],['Microsoft'],,0.04,1,1,33,0,0,3,3,1.0,0.0,90.0,0.0,0,20.49959
+276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,241,60,13,Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2023-02-12,2021-07-26,82,2.9288194444444446,[],2022-12-22,7,"['dudzicz@tokenflowinsights', 'feld', 'kchojn@py-world', 'piotr-rudnik', 'tmierzwa@tokenflowinsights', 'wolololol', 'zdumitru']",2,10,"['py-world', 'tokenflowinsights']","['Py-World', 'Token Flow Insights']",,0.6,9,8,19,2,0,0,0,9.0,2.0,90.0,0.2,0,20.47013
+588,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,241,28,8,Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2023-02-04,2020-03-17,153,1.5736940298507462,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",2022-05-02,4,"['dependabot[bot]', 'dorianj', 'vrajat']",0,10,[],[],,0.04,6,1,36,10,0,9,9,6.0,1.0,90.0,0.2,0,14.19444
+83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,240,46,13,Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2023-02-16,2017-09-17,283,0.8467741935483871,[],2022-11-26,11,"['MichaelClerx@universityofnottingham', 'ahartikainen@lumoanalytics', 'amas0', 'asottile', 'jburroni', 'jgabry@columbiauniversitystan-dev', 'mjcarter95', 'riddell-stan', 'smoh']",3,10,"['columbiauniversitystan-dev', 'lumoanalytics', 'universityofnottingham']","['@lumoanalytics ', 'Columbia University @stan-dev', 'University of Nottingham']",,0.35,5,1,66,3,0,4,4,5.0,2.0,90.0,0.4,0,27.10742
+923,gis,https://github.com/giswqs/aws-open-data-geo,,,,giswqs/aws-open-data-geo,aws-open-data-geo,234,6,9,Python,,aws-open-data-geo: A list of open geospatial datasets on AWS,giswqs,2023-02-20,2022-12-18,9,24.818181818181817,"['aws', 'environment', 'geospatial', 'mapping', 'open-data', 'satellite-imagery', 'sustainability']",2023-02-18,2,"['actions-user@actions', 'giswqs@universityoftennessee']",2,10,"['actions', 'universityoftennessee']","['@actions', 'University of Tennessee']",,0.75,1,0,2,0,0,0,0,1.0,4.0,90.0,4.0,0,19.38091
+865,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,230,31,14,Python,https://astro-sdk-python.rtfd.io/,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2023-02-20,2021-12-06,63,3.63431151241535,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",2023-02-21,32,"['dimberman@astronomerio', 'feluelle@astronomer', 'kaxil@astronomer', 'pankajastro@astronomer', 'pankajkoti@astronomer', 'pre-commit-ci[bot]', 'rajaths010494', 'sunank200@astronomer', 'tatiana@astronomer', 'utkarsharma2@astronomer']",2,10,"['astronomer', 'astronomerio']","['@astronomer', '@astronomer ', '@astronomerio', 'Astronomer']",,15.13,628,492,15,0,41,54,41,628.0,770.0,90.0,1.2,0,44.54659
+933,nlp,https://github.com/lucidrains/medical-chatgpt,,,,lucidrains/medical-chatgpt,medical-chatgpt,227,19,25,Python,,"medical-chatgpt: Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis",lucidrains,2023-02-20,2022-12-10,10,21.472972972972972,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'transformers', 'medicine']",2023-02-12,2,"['ell-hol@orange', 'lucidrains']",1,10,['orange'],['Orange'],,0.21,2,2,2,0,0,0,0,2.0,0.0,90.0,0.0,0,10.9728
+274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,223,49,25,Python,https://amazon-ion.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2023-02-21,2016-04-07,358,0.6214171974522293,[],2023-02-14,25,"['Antrikshy@amazon', 'almann', 'cheqianh@amazon', 'daniel-butler', 'dlurton@amzn', 'mijamo911@nope', 'popematt@amzn', 'rmarrowstone@amazon', 'rubcuevas', 'tgregg']",3,10,"['amazon', 'amzn', 'nope']","['@amzn ', 'Amazon', 'Nope']",,0.38,25,13,84,0,3,2,3,25.0,11.0,90.0,0.4,0,35.22364
+491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,218,31,44,Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2023-02-10,2018-03-09,258,0.8426283821093319,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",2022-10-26,13,"['drnextgis@satellogic', 'geospatial-jeff@regrowag', 'j08lue@developmentseed', 'kant', 'kylebarron', 'perliedman@solvi', 'pierotofy@uav4geo', 'rukku@phl-microsatdpad', 'sgillies@planetlabs', 'vincentsarago@developmentseed']",7,10,"['developmentseed', 'phl-microsatdpad', 'planetlabs', 'regrowag', 'satellogic', 'solvi', 'uav4geo']","['@developmentseed ', '@planetlabs', '@regrowag', '@satellogic', 'Development Seed', 'PHL-Microsat DPAD', 'Solvi', 'UAV4GEO']",,0.52,3,1,60,4,0,12,12,3.0,14.0,90.0,4.7,0,37.74126
+249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,217,81,16,Python,,bilhim/trafficsimulator,bilhim,2023-02-19,2021-09-05,76,2.839252336448598,[],2021-09-07,2,"['BilHim', 'hamolicious']",0,10,[],[],,0.0,1,0,18,18,0,0,0,1.0,0.0,90.0,0.0,0,3.51364
+337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,214,27,6,C,,mrabarnett/mrab-regex,mrabarnett,2023-02-19,2020-11-02,120,1.7790973871733966,[],2022-10-31,9,"['animalize', 'gpshead@google', 'mrabarnett', 'zsol@facebook']",2,10,"['facebook', 'google']","['@facebook ', 'Google']",,0.25,7,3,28,4,0,6,6,7.0,12.0,90.0,1.7,0,26.52439
+520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,214,54,11,Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2023-02-18,2020-05-26,143,1.4950099800399201,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",2022-12-09,1,['Lydorn'],0,10,[],[],,0.13,5,0,33,2,0,0,0,5.0,2.0,90.0,0.4,0,10.7437
+467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,214,17,5,Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2023-02-20,2020-12-06,115,1.853960396039604,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",2023-02-20,3,"['GustikS@czechtechnicaluniversity', 'LukasZahradnik', 'joaquincabezas@adevinta']",2,10,"['adevinta', 'czechtechnicaluniversity']","['Adevinta', 'Czech Technical University']",,6.06,4,4,27,0,18,17,18,4.0,7.0,90.0,1.8,0,32.56937
+981,util,https://github.com/google/pyglove,1.0,,,google/pyglove,pyglove,212,8,6,Python,,pyglove: Manipulating Python Programs,google,2023-02-20,2022-05-12,40,5.188811188811189,"['automl', 'evolution', 'machine-learning', 'meta-learning', 'meta-programming', 'symbolic-programming', 'manipulation', 'python']",2023-02-08,5,"['D-X-Y@google', 'daiyip', 'rchen152', 'sinopalnikov', 'xingyousong@googlebrain']",2,10,"['google', 'googlebrain']","['Google', 'Google Brain']",,2.21,29,27,9,0,3,5,3,29.0,14.0,90.0,0.5,0,26.81938
+819,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,207,32,7,Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2023-02-20,2022-06-27,34,6.0375,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",2022-11-03,2,"['dependabot[bot]', 'gorold']",0,10,[],[],,0.21,4,1,8,4,0,0,0,4.0,5.0,90.0,1.2,0,9.73728
+243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,206,48,5,Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2023-02-08,2020-12-09,115,1.791304347826087,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",2023-02-21,7,"['JohanvandenHeuvel', 'Philoso-Fish', 'Voulgaris-Sot', 'ah-ansari', 'aredelmeier', 'indyfree@bezerocarbon']",1,10,['bezerocarbon'],['@BeZeroCarbon '],,0.67,8,5,27,0,0,0,0,8.0,0.0,90.0,0.0,0,20.94776
+733,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,206,51,7,Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2023-02-21,2020-04-01,151,1.3642384105960266,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",2022-11-05,10,"['Jeanselme@universityofcambridge', 'PotosnakW', 'chiragnagpal@carnegiemellonuniversity', 'chufangao@carnegiemellonuniversity', 'haivanle', 'kishanmaharaj@indianinstituteoftechnologybombay', 'shikhareddy']",3,10,"['carnegiemellonuniversity', 'indianinstituteoftechnologybombay', 'universityofcambridge']","['Carnegie Mellon University', 'Indian Institute Of Technology Bombay ', 'University of Cambridge']",,2.23,4,3,35,4,0,0,0,4.0,7.0,90.0,1.8,0,26.70285
+240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,205,34,10,Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2023-02-20,2020-12-11,114,1.7870485678704857,[],2021-11-11,2,"['daniel-kukiela', 'seung-kim']",0,10,[],[],,0.0,0,0,27,16,0,0,0,0.0,0.0,90.0,0.0,0,4.25902
+859,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,204,143,25,Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2023-02-11,2015-04-09,410,0.4965229485396384,[],2023-02-17,74,"['Carreau@quansight-labs', 'MSeal@noteable-io', 'blink1073@mongodb', 'ellisonbg@amazonwebservices', 'jdfreder@google', 'jhamrick', 'minrk@simularesearchlaboratory', 'mpacer@netflix', 'pre-commit-ci[bot]', 'takluyver']",7,10,"['amazonwebservices', 'google', 'mongodb', 'netflix', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory']","['@Quansight-Labs', '@google ', '@noteable-io', 'Amazon Web Services', 'MongoDB', 'Netflix', 'Simula Research Laboratory']",,3.5,22,18,96,0,12,4,12,22.0,6.0,90.0,0.3,0,45.80314
+456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,203,23,4,Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2023-02-20,2020-07-01,138,1.4710144927536233,"['machine-learning', 'python', 'addresses-parsing']",2023-02-20,6,"['GameSetAndMatch@baseline', 'MAYAS3', 'davebulaval@baseline.québec', 'dependabot[bot]', 'freud14', 'yogeshchandrasekharuni']",2,10,"['baseline', 'baseline.québec']","['Baseline.québec', 'baseline']",,3.35,14,14,32,0,15,17,15,14.0,1.0,90.0,0.1,0,30.94
+836,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,199,59,14,C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2023-02-17,2013-01-06,528,0.376588267099216,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",2022-11-18,4,"['benbovy', 'mcflugen@universityofcolorado', 'r-barnes', 'tbartholomaus@universityofidaho']",2,10,"['universityofcolorado', 'universityofidaho']","['University of Colorado', 'University of Idaho']",,0.56,8,1,123,3,0,2,2,8.0,2.0,90.0,0.2,0,23.68795
+207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,195,48,15,Python,,aws/aws-lambda-python-runtime-interface-client,aws,2023-02-10,2020-09-02,129,1.5116279069767442,[],2023-02-16,23,"['SukanyaHanumanthu@356', 'aboelhamd@aws', 'adamchainz@django,djangolondon', 'amazon-auto@amazon', 'carlzogh@amazonwebservices', 'keshayad@amazonwebservices', 'preearor', 'smirnoal', 'stefanbotez', 'zsombor-balogh']",5,10,"['356', 'amazon', 'amazonwebservices', 'aws', 'django,djangolondon']","['356', '@aws', '@django, @djangolondon', 'Amazon', 'Amazon Web Services']",,0.37,8,2,30,0,0,2,2,8.0,4.0,90.0,0.5,0,32.48782
+954,diffusion,https://github.com/lunarring/latentblending,,,,lunarring/latentblending,latentblending,194,18,11,Python,,"latentblending: Create butter-smooth transitions between prompts, powered by stable diffusion",lunarring,2023-02-20,2022-11-19,13,14.294736842105262,"['animation', 'diffusion', 'stable-diffusion']",2023-02-21,9,"['brianfitzgerald', 'jjnnss', 'lunarring', 'maxlund']",0,10,[],[],,3.12,8,7,3,0,0,0,0,8.0,27.0,90.0,3.4,0,21.41306
+899,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,192,17,13,Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2023-02-16,2017-11-12,275,0.6970954356846473,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",2021-01-18,5,"['bryanculbertson@eradb', 'd3netxer', 'kuanb@mapbox', 'pitrz']",2,10,"['eradb', 'mapbox']","['@eradb ', '@mapbox']",,0.0,2,0,64,25,0,3,3,2.0,0.0,90.0,0.0,0,15.82059
+446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,187,34,13,Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2023-02-13,2019-03-01,207,0.9002751031636864,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",2023-02-13,17,"['TimMcCauley', 'dependabot[bot]', 'erinrolson', 'gegen07', 'jGaboardi@ornl', 'knaaptime@center-for-open-geographical-science', 'pre-commit-ci[bot]', 'rwei5', 'sjsrey@centerforopengeographicalscience', 'xf37@universityofoklahoma']",4,10,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'ornl', 'universityofoklahoma']","['@center-for-open-geographical-science', 'Center for Open Geographical Science', 'ORNL', 'University of Oklahoma']",,6.63,57,43,48,0,6,4,6,57.0,79.0,90.0,1.4,0,41.4941
+339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,187,19,11,Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2023-02-21,2021-10-26,69,2.7045454545454546,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",2021-11-15,2,"['mend-bolt-for-github[bot]', 'tlkh@singaporeuniversityoftechnologyanddesign']",1,10,['singaporeuniversityoftechnologyanddesign'],['Singapore University of Technology and Design'],,0.0,2,0,16,15,0,0,0,2.0,0.0,90.0,0.0,0,7.34315
+266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,181,34,6,Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2023-02-06,2020-12-10,114,1.5758706467661692,[],2022-12-09,9,"['Kabongosalomon@universityofhannover,l3sandtib', 'TrellixVulnTeam', 'a3nm', 'castedo@castedo.com', 'gabrielmbmb', 'kyleclo@allenai', 'lucylw', 'nayha-auradkar', 'tsogi']",3,10,"['allenai', 'castedo.com', 'universityofhannover,l3sandtib']","['@allenai ', 'University of Hannover, L3S and TIB', 'castedo.com']",,0.12,3,2,27,2,0,0,0,3.0,1.0,90.0,0.3,0,21.66414
+585,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,181,28,17,Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2023-02-14,2018-09-19,231,0.7835497835497836,[],2023-01-25,9,"['AnGWar26@mansueto-institute', 'jGaboardi@ornl', 'knaaptime@center-for-open-geographical-science', 'ljwolf@geogbristol', 'renanxcortes', 'sjsrey@centerforopengeographicalscience', 'suhanmappingideas', 'weikang9009@universityofnorthtexas']",6,10,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'geogbristol', 'mansueto-institute', 'ornl', 'universityofnorthtexas']","['@center-for-open-geographical-science', '@geogbristol ', '@mansueto-institute', 'Center for Open Geographical Science', 'ORNL', 'University of North Texas']",,0.98,10,4,54,1,4,6,4,10.0,20.0,90.0,2.0,0,35.50316
+461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,181,26,7,Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2023-02-19,2021-11-26,64,2.7969094922737305,[],2022-09-17,6,"['YoadTew', 'chenxwh', 'idansc', 'itsyoavshalev']",0,10,[],[],,0.1,3,1,15,5,0,0,0,3.0,0.0,90.0,0.0,0,9.38013
+731,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,178,19,8,Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2023-01-12,2021-03-29,99,1.7928057553956835,[],2021-04-05,2,"['bowenc0221', 'ppwwyyxx']",0,10,[],[],,0.0,0,0,23,23,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
+33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,175,73,13,Python,,address-net: A package to structure Australian addresses,jasonrig,2023-02-20,2018-12-05,220,0.7954545454545454,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",2020-09-09,2,"['Stallon-niranjan@deceptiveai', 'jasonrig@monash-mercpay-baymax']",2,10,"['deceptiveai', 'monash-mercpay-baymax']","['@monash-merc @Pay-Baymax', 'Deceptive AI']",,0.0,1,0,51,30,0,0,0,1.0,0.0,90.0,0.0,0,10.17262
+415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,174,34,13,Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2023-02-17,2021-07-05,85,2.040201005025126,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",2022-12-09,1,['rafiqhasan@google'],1,10,['google'],['Google'],,0.1,0,0,20,2,2,5,2,0.0,0.0,90.0,0.0,0,12.21225
+948,nlp,https://github.com/ibm/transition-amr-parser,,,,ibm/transition-amr-parser,transition-amr-parser,173,39,9,Python,,transition-amr-parser: SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.,ibm,2023-02-10,2019-10-08,176,0.9821573398215734,"['machine-learning', 'nlp', 'semantic-parsing', 'amr', 'amr-parser', 'abstract-meaning-representation', 'amr-parsing', 'amr-graphs']",2023-02-01,15,"['cpendus', 'gangiswag', 'jzhou316', 'kant', 'kjbarker-work', 'mrdrozdov', 'ramon-astudillo@ibm', 'sadhana01', 'tahira', 'ysuklee@github.com/ibm']",2,10,"['github.com/ibm', 'ibm']","['@IBM', 'github.com/IBM']",,5.83,9,6,41,1,0,4,4,9.0,9.0,90.0,1.0,0,32.53758
+901,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,171,29,10,Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2023-02-19,2022-09-12,23,7.343558282208589,[],2023-02-03,6,"['amazon-auto@amazon', 'bryanyzhu@amazonai', 'gaozhihan@hongkonguniversityofscienceandtechnology', 'giswqs@universityoftennessee', 'sxjscience@amazonwebservices', 'vitusbenson']",5,10,"['amazon', 'amazonai', 'amazonwebservices', 'hongkonguniversityofscienceandtechnology', 'universityoftennessee']","['Amazon', 'Amazon AI', 'Amazon Web Services', 'Hong Kong University of Science and Technology', 'University of Tennessee']",,0.77,15,13,5,1,0,0,0,15.0,7.0,90.0,0.5,0,23.2917
+955,diffusion,https://github.com/coyote-a/ultimate-upscale-for-automatic1111,,,,coyote-a/ultimate-upscale-for-automatic1111,ultimate-upscale-for-automatic1111,170,14,4,Python,,coyote-a/ultimate-upscale-for-automatic1111,coyote-a,2023-02-21,2023-01-02,7,23.333333333333332,[],2023-02-07,4,"['Coyote-A', 'Danamir', 'Jopezzia']",0,10,[],[],,1.19,33,16,2,0,0,0,0,33.0,83.0,90.0,2.5,0,18.18387
+959,util,https://github.com/cqcl/tket,,,,cqcl/tket,tket,167,30,14,C++,,"tket: Source code for the TKET quantum compiler, Python bindings and utilities",cqcl,2023-02-18,2021-09-13,75,2.218216318785579,"['quantum-computing', 'compiler']",2023-02-20,22,"['CalMacCQ@quantinuum', 'Roland-djee', 'aborgna-q@quantinuum', 'cqc-alec', 'cqc-melf', 'lmondada@cambridgequantumcomputing', 'sjdilkes', 'ss2165@quantinuum', 'willsimmons1465@cambridgequantumcomputing', 'yao-cqc']",2,10,"['cambridgequantumcomputing', 'quantinuum']","['Cambridge Quantum Computing', 'Quantinuum']",,7.48,109,95,18,0,53,57,53,109.0,58.0,90.0,0.5,0,38.91665
+743,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,166,150,7,Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2023-02-07,2020-03-01,155,1.068014705882353,[],2021-10-21,1,['koaning@explosion'],1,10,['explosion'],['@explosion'],,0.0,0,0,36,16,0,0,0,0.0,0.0,90.0,0.0,0,7.2234
+890,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,163,0,9,Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2023-02-16,2022-11-28,12,13.267441860465116,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",2022-11-28,2,['H4kor'],0,10,[],[],,0.77,4,0,3,3,0,0,0,4.0,0.0,90.0,0.0,0,5.11876
+775,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,150,87,42,Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2023-02-15,2014-06-18,453,0.33112582781456956,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",2023-01-31,31,"['JoeJimFlood', 'bstabler@ptvgroup', 'chesterharvey', 'dhensle', 'fscottfoti@populus-aimapcraftlabsoaklandanalytics', 'jiffyclub@populus-ai', 'jpn--@cambridgesystematics|georgiatech', 'mxndrwgrdnr', 'nick-fournier-rsg@rsg', 'toliwaga']",5,10,"['cambridgesystematics|georgiatech', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'ptvgroup', 'rsg']","['@populus-ai ', '@populus-ai @mapcraftlabs @oaklandanalytics  ', 'Cambridge Systematics | Georgia Tech', 'PTV Group', 'RSG Inc.']",,14.88,55,35,106,1,5,2,5,55.0,56.0,90.0,1.0,0,44.23018
+606,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,146,14,12,Python,,pyscript-cli: A CLI for PyScript,pyscript,2023-02-19,2022-05-01,42,3.441077441077441,[],2023-02-20,8,"['KennyOliver@sixthformcsstudent', 'anaconda-renovate-bot', 'fpliger', 'mattkram@anaconda', 'ntoll', 'ozanturker', 'pre-commit-ci[bot]', 'pww217']",2,10,"['anaconda', 'sixthformcsstudent']","['Anaconda, Inc.', 'Sixth Form CS Student']",,1.58,34,26,10,0,0,7,7,34.0,17.0,90.0,0.5,0,29.11971
+869,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,145,26,4,Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2023-02-15,2018-09-22,230,0.6288723667905824,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",2023-02-14,12,"['CozyDoomer', 'banesullivan@kitware', 'cclauss@christianclauss', 'dependabot-preview[bot]', 'dependabot[bot]', 'erayerdin', 'github-actions[bot]', 'hugovk@nordsoftware', 'pre-commit-ci[bot]', 'renovate[bot]']",3,10,"['christianclauss', 'kitware', 'nordsoftware']","['@Kitware', 'Christian Clauss', 'Nord Software']",,1.52,16,15,54,0,3,6,3,16.0,14.0,90.0,0.9,0,34.36093
+936,ml,https://github.com/jonasgeiping/breaching,,,,jonasgeiping/breaching,breaching,144,32,3,Python,,Breaching privacy in federated learning scenarios for vision and text,jonasgeiping,2023-02-19,2022-02-15,53,2.7096774193548385,"['security', 'machine-learning', 'pytorch', 'federated-learning', 'decentralized-learning', 'privacy-audit']",2023-02-09,17,"['JonasGeiping@computerscienceatumd', 'YuxinWenRick@universityofmaryland', 'lhfowl']",2,10,"['computerscienceatumd', 'universityofmaryland']","['Computer Science at UMD', 'University of Maryland']",,0.88,1,1,12,0,0,0,0,1.0,1.0,90.0,1.0,0,24.64049
+231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,142,29,3,Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2023-01-15,2020-07-06,137,1.0343392299687826,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",2022-06-10,2,"['crmne@freshflowai', 'dependabot[bot]']",1,10,['freshflowai'],['@freshflowai'],,0.02,5,0,32,9,0,0,0,5.0,1.0,90.0,0.2,0,11.40933
+785,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,140,8,3,TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2023-02-04,2020-11-28,116,1.2009803921568627,[],2022-05-13,2,"['brokenloop', 'matthieudesprez']",0,10,[],[],,0.06,2,0,27,9,0,0,0,2.0,0.0,90.0,0.0,0,6.41868
+466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,140,11,3,Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2023-02-16,2021-12-29,60,2.3333333333333335,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",2023-01-17,2,"['davidberenstein1957@argilla-io', 'infinitylogesh']",1,10,['argilla-io'],['@argilla-io '],,0.23,3,3,14,1,0,0,0,3.0,7.0,90.0,2.3,0,18.71194
+774,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,139,70,24,Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2023-02-08,2013-12-29,477,0.29114302812687015,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",2023-01-24,58,"['Anna-Livia', 'HAEKADI@codeworks', 'MattiSG', 'Morendil@codeworksfrance', 'benjello', 'clems', 'eraviart', 'fpagnoux', 'maukoquiroga', 'sandcha']",2,10,"['codeworks', 'codeworksfrance']","['@CodeWorksFrance', 'CodeWorks']",,3.0,52,31,111,1,0,42,42,52.0,69.0,90.0,1.3,0,43.44183
+564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,139,10,9,Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2023-02-19,2020-03-27,151,0.916195856873823,[],2023-02-08,9,"['EwoutH', 'TheBiggerGuy', 'brendan-ward@astutespruce', 'dependabot[bot]', 'jorisvandenbossche', 'martinfleis', 'theroggy', 'tqa236@descartesunderwriting', 'weiji14@developmentseed']",3,10,"['astutespruce', 'descartesunderwriting', 'developmentseed']","['@developmentseed', 'Astute Spruce, LLC', 'Descartes Underwriting']",,2.08,54,41,35,0,7,3,7,54.0,83.0,90.0,1.5,0,36.81719
+555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,133,32,0,,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2023-02-21,2022-01-09,58,2.2762836185819073,[],2021-12-10,29,"['CCInc@universityoftexasatdallas', 'daili650', 'ggrzeczkowicz', 'humanpose1', 'liubigli', 'loicland@strudel/ign', 'nicolas-chaulet@canoapbc', 'tchaton@lightning.ai|pytorchlightning', 'tristanheywood', 'zeliu98@microsoftresearchasia']",5,10,"['canoapbc', 'lightning.ai|pytorchlightning', 'microsoftresearchasia', 'strudel/ign', 'universityoftexasatdallas']","['@CanoaPBC', 'Lightning.ai | Pytorch Lightning', 'Microsoft Research Asia', 'STRUDEL/ IGN', 'University of Texas at Dallas']",,0.0,0,0,14,15,0,9,9,0.0,0.0,90.0,0.0,0,22.13799
+147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,133,34,9,Python,,markov_clustering: markov clustering in python,guyallard,2023-02-21,2017-09-27,282,0.4716312056737589,"['markov-clustering', 'clustering', 'python', 'networks']",2018-12-11,3,"['GuyAllard', 'jonahar']",0,10,[],[],,0.0,1,0,66,51,0,0,0,1.0,1.0,90.0,1.0,0,7.87128
+316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,128,16,3,C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2023-02-14,2019-06-30,190,0.6721680420105026,[],2023-02-09,4,"['cameronmaske@closedlooplabs', 'irmen', 'martinosspa', 'shauneccles']",1,10,['closedlooplabs'],['Closed Loop Labs'],,0.4,4,1,44,0,6,9,6,4.0,9.0,90.0,2.2,0,27.75683
+290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,127,37,4,Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2023-01-24,2020-06-21,139,0.9108606557377049,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",2022-07-02,2,"['eugeneyan@amzn', 'segunadelowo']",1,10,['amzn'],['@amzn'],,0.04,0,0,32,8,0,0,0,0.0,0.0,90.0,0.0,0,9.68979
+407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,125,27,15,Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2023-02-14,2021-11-22,65,1.9146608315098468,"['python', 'apache-beam', 'weather']",2023-02-15,26,"['CillianFn', 'alxmrs', 'deepgabani8@infocuspinnovationspvt.ltd.', 'dlowell12', 'ksic8', 'mahrsee1997', 'pbattaglia', 'pramodg', 'sgreenberg@google', 'uhager']",2,10,"['google', 'infocuspinnovationspvt.ltd.']","['Google', 'Infocusp Innovations Pvt. Ltd.']",,1.79,48,29,15,0,5,7,5,47.0,25.0,90.0,0.5,0,32.99876
+835,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,124,9,4,Python,,jellezijlstra/autotyping,jellezijlstra,2023-02-16,2021-06-25,86,1.42998352553542,[],2023-02-14,7,"['DmytroLitvinov@softformance', 'JelleZijlstra@quora', 'MarcoGorelli@quansight', 'hauntsaninja@openai', 'jakkdl', 'orsinium@sendcloud', 'sobolevn']",5,10,"['openai', 'quansight', 'quora', 'sendcloud', 'softformance']","['@OpenAI', '@quora ', '@sendcloud', '@softformance ', 'Quansight']",,0.35,15,14,20,0,2,2,2,15.0,25.0,90.0,1.7,0,32.47544
+305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,123,3,3,Python,,pytrait: Traits for Python3,xrudelis,2023-02-15,2021-11-21,65,1.8799126637554586,[],2021-11-27,2,"['sobolevn', 'xrudelis']",0,10,[],[],,0.0,0,0,15,15,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
+571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,122,28,11,Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2023-02-21,2020-05-21,143,0.8480635551142006,"['geojson', 'pydantic', 'geojson-spec']",2023-02-10,19,"['dorianturba', 'drewbo@cloud-gov(work)+personalprojects;', 'eseglem@bigbear.ai', 'geospatial-jeff@regrowag', 'hawkaa@duneanalytics', 'iwpnd@tiermobility', 'moradology', 'regisfbrilhante', 'vincentsarago@developmentseed', 'yellowcap']",6,10,"['bigbear.ai', 'cloud-gov(work)+personalprojects;', 'developmentseed', 'duneanalytics', 'regrowag', 'tiermobility']","['@TierMobility ', '@cloud-gov (work) + personal projects; ', '@developmentseed ', '@duneanalytics', '@regrowag', 'BigBear.ai']",,1.44,24,17,34,0,0,5,5,24.0,53.0,90.0,2.2,0,40.41622
+583,web,https://github.com/developmentseed/fastai-serving,,,,developmentseed/fastai-serving,fastai-serving,121,11,8,Python,,"fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving",developmentseed,2022-04-08,2019-07-01,190,0.6358858858858859,"['machine-learning', 'python', 'deep-learning', 'pytorch', 'docker']",2020-02-10,2,['drewbo@cloud-gov(work)+personalprojects;'],1,10,['cloud-gov(work)+personalprojects;'],['@cloud-gov (work) + personal projects; '],,0.0,0,0,44,37,0,0,0,0.0,0.0,90.0,0.0,0,6.85046
+973,data,https://github.com/nickreynke/python-gedcom,,,,nickreynke/python-gedcom,python-gedcom,121,31,16,Python,https://nickreynke.github.io/python-gedcom/gedcom/index.html,"python-gedcom: Python module for parsing, analyzing, and manipulating GEDCOM files",nickreynke,2023-02-17,2018-01-09,267,0.45294117647058824,"['python', 'gedcom', 'parser', 'gedcom-parser']",2021-06-03,16,"['KeithPetro', 'damonbrodie', 'joephayes@telegraphio', 'jonorthwash', 'madprime@openhumans', 'mameen', 'mtdcr', 'nickreynke', 'paulproteus@day:reduct.night:?!', 'scavone']",3,10,"['day:reduct.night:?!', 'openhumans', 'telegraphio']","['@OpenHumans ', '@telegraphio', 'Day: Reduct. Night: ?!']",,0.0,2,1,62,21,0,2,2,2.0,0.0,90.0,0.0,0,20.40746
+463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,112,8,3,Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2023-02-19,2022-02-18,52,2.124661246612466,[],2023-01-17,2,"['Psycoguana', 'coenvlietstra']",0,10,[],[],,0.37,3,3,12,1,0,0,0,3.0,12.0,90.0,4.0,0,16.90682
+893,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,111,45,9,Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2023-01-26,2019-04-23,200,0.5546038543897216,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",2020-03-20,3,"['amiryanj@inriaresearchcenter', 'franciscovalentecastro', 'jbhayet@cimat']",2,10,"['cimat', 'inriaresearchcenter']","['CIMAT', 'Inria Research Center']",,0.0,0,0,47,36,0,0,0,0.0,0.0,90.0,0.0,0,9.85825
+945,web,https://github.com/rawheel/fastapi-boilerplate,,,,rawheel/fastapi-boilerplate,fastapi-boilerplate,108,10,1,Python,,"fastapi-boilerplate: Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀 ",rawheel,2023-02-20,2022-12-28,8,13.5,"['alembic', 'boilerplate', 'docker', 'fastapi', 'fastapi-boilerplate', 'fastapi-sqlalchemy', 'postgresql', 'pydantic', 'python3', 'docker-compose', 'sqlalchemy', 'sqlalchemy-orm', 'poetry-python', 'orm']",2023-01-07,3,"['rawheel@github', 'sebastianmarines@clickit:devops&softwaredevelopment']",2,10,"['clickit:devops&softwaredevelopment', 'github']","['ClickIT: DevOps & Software Development', 'GitHub']",,0.27,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,0,10.58417
+847,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,105,12,4,Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2023-02-09,2022-07-11,32,3.252212389380531,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",2022-11-01,1,['souravbhadra@saintlouisuniversity'],1,10,['saintlouisuniversity'],['Saint Louis University'],,0.96,0,0,8,4,1,2,1,0.0,0.0,90.0,0.0,0,9.14056
+527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,104,16,20,Python,,hazyresearch/domino,hazyresearch,2023-02-15,2021-11-29,64,1.6177777777777778,[],2022-08-02,6,['seyuboglu'],0,10,[],[],,1.08,0,0,15,7,1,5,1,0.0,0.0,90.0,0.0,0,9.56023
+533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,102,23,9,Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2023-02-19,2021-08-30,77,1.3197781885397413,[],2022-07-21,2,"['Ggs1mida', 'HeavenswordG@ohiostateuniversity']",1,10,['ohiostateuniversity'],['Ohio State University'],,0.44,2,0,18,7,0,0,0,2.0,2.0,90.0,1.0,0,12.8785
+667,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,101,15,7,Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2023-02-19,2022-03-23,48,2.1041666666666665,[],2022-11-10,1,['zorzi-s'],0,10,[],[],,0.4,5,2,11,3,0,0,0,5.0,11.0,90.0,2.2,0,12.11452
+457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,101,24,6,Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2023-02-18,2021-09-27,73,1.3781676413255362,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",2022-11-04,2,"['danigoju', 'iliaschalkidis']",0,10,[],[],,0.38,1,1,17,4,0,0,0,1.0,2.0,90.0,2.0,0,12.34477
+529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,97,25,18,Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2023-02-05,2018-03-23,256,0.3778519755147468,[],2020-05-27,6,"['HiromuHota@https://snorkel.ai/', 'j-rausch', 'lukehsiao@numbersstationai', 'nicholaschiang@numbersstationai', 'rehanguha@vodafone', 'senwu']",3,10,"['https://snorkel.ai/', 'numbersstationai', 'vodafone']","['@NumbersStationAI', '@NumbersStationAI ', '@Vodafone', 'https://snorkel.ai/']",,0.0,0,0,60,33,0,2,2,0.0,0.0,90.0,0.0,0,15.5718
+746,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,96,12,3,Python,,parquet-tools: easy install parquet-tools,ktrueda,2023-02-18,2020-05-02,146,0.6549707602339181,"['parquet', 'parquet-tools', 'cli']",2023-01-18,12,"['dependabot[bot]', 'engstrom@discogs', 'exaspace', 'fabaff', 'jdblischak', 'ktrueda', 'mrdavidlaing@shopify', 'omo', 'sattler@tumi8', 'sbrandtb@fri-day']",4,10,"['discogs', 'fri-day', 'shopify', 'tumi8']","['@FRI-DAY ', '@Shopify ', '@discogs ', '@tumi8']",,0.19,7,5,34,1,2,6,2,7.0,4.0,90.0,0.6,0,28.92828
+781,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,95,21,4,Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2023-01-31,2016-12-01,324,0.29243623570800353,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",2022-08-23,6,"['12rambau@faoopenforis', 'danielskatz@uiuc', 'ethanwhite@weecology,univofflorida', 'ghislainv@cirad', 'kbarnhart', 'molgor@lancasteruniversity']",5,10,"['cirad', 'faoopenforis', 'lancasteruniversity', 'uiuc', 'weecology,univofflorida']","['@weecology, Univ of Florida ', 'Cirad', 'FAO @openforis', 'Lancaster University', 'UIUC']",,0.15,1,0,76,6,1,0,1,1.0,0.0,90.0,0.0,0,22.00262
+558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,36,9,Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2016-08-12,340,0.2729559748427673,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",2022-12-09,8,"['actions-user@actions', 'darribas', 'fcorowe@universityofliverpool', 'jreades@ucl', 'ljwolf@geogbristol', 'martinfleis', 'ocefpaf']",4,10,"['actions', 'geogbristol', 'ucl', 'universityofliverpool']","['@actions', '@geogbristol ', 'UCL', 'University of Liverpool']",,0.79,4,1,79,2,1,2,1,4.0,2.0,90.0,0.5,0,27.5601
+534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,91,9,1,Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2022-12-30,2022-02-28,51,1.7743732590529249,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",2022-12-17,1,['benedekrozemberczki@isomorphiclabs'],1,10,['isomorphiclabs'],['@isomorphiclabs'],,1.98,0,0,12,2,1,1,1,0.0,0.0,90.0,0.0,0,12.00923
+744,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,91,20,4,Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2023-02-18,2020-12-02,116,0.7844827586206896,[],2022-12-16,8,"['Bennylave', 'aiqc@aiqc', 'amoh-godwin@deuteronomyworks', 'layne-sadler@aiqc', 'sahilgupta2105']",2,10,"['aiqc', 'deuteronomyworks']","['AIQC', 'Deuteronomy Works']",,6.9,0,0,27,2,0,0,0,0.0,0.0,90.0,0.0,0,20.45884
+842,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,87,4,1,Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2023-02-09,2022-03-24,47,1.817910447761194,"['jupyter', 'pandas', 'python']",2023-02-20,4,"['domoritz@cmu,apple', 'vaish399', 'willeppy@cmu', 'yuqizhang99']",2,10,"['cmu', 'cmu,apple']","['CMU', 'CMU, Apple']",,4.17,41,30,11,0,0,0,0,41.0,19.0,90.0,0.5,0,25.403
+485,gis,https://github.com/scisco/area,,,,scisco/area,area,87,20,3,Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-12-14,2015-11-25,378,0.23015873015873015,[],2018-10-31,3,"['lgw4', 'scisco']",0,10,[],[],,0.0,0,0,88,52,0,0,0,0.0,0.0,90.0,0.0,0,5.10122
+974,data,https://github.com/vmiklos/ged2dot,,,,vmiklos/ged2dot,ged2dot,87,17,6,Python,https://vmiklos.hu/ged2dot/,ged2dot: GEDCOM to Graphviz converter,vmiklos,2023-02-12,2013-11-01,485,0.17911764705882352,"['gedcom', 'dot', 'python', 'libreoffice']",2023-02-17,9,"['ColinChargy', 'bAndie91', 'dougstarfish@starfishstorage', 'drzraf', 'fetsorn', 'rgerkin@ozymandianindustries', 'schuellerf', 'vmiklos']",2,10,"['ozymandianindustries', 'starfishstorage']","['Ozymandian Industries', 'Starfish Storage']",,0.83,14,14,113,0,2,2,2,14.0,0.0,90.0,0.0,0,30.09989
+562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,84,19,11,Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2023-01-04,2021-05-21,91,0.9158878504672897,[],2023-02-19,17,"['EdwardBetts', 'HaudinFlorence@quantstack', 'SylvainCorlay@quantstack', 'benoit9126@roseautechnologies', 'darribas', 'davidbrochart@quantstack', 'dependabot[bot]', 'drnextgis@satellogic', 'martinfleis', 'tsutterley@uw-eduappliedphysicslaboratory']",4,10,"['quantstack', 'roseautechnologies', 'satellogic', 'uw-eduappliedphysicslaboratory']","['@QuantStack', '@RoseauTechnologies ', '@satellogic', '@uw-edu Applied Physics Laboratory', 'QuantStack']",,0.94,2,2,21,0,5,10,5,2.0,0.0,90.0,0.0,0,29.30759
+269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,84,6,3,Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-12-28,2016-05-17,353,0.23786407766990292,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",2021-06-26,7,"['aldencolerain', 'deeplook', 'deepsource-autofix[bot]', 'deepsourcebot@deepsourcelabs', 'mkgs@investnext', 'quantifiedcode-bot@quantifiedcode']",3,10,"['deepsourcelabs', 'investnext', 'quantifiedcode']","['@deepsourcelabs', '@investnext', 'QuantifiedCode']",,0.0,0,0,82,20,0,0,0,0.0,0.0,90.0,0.0,0,15.91739
+769,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,82,13,3,Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-01-31,2019-02-05,211,0.38836265223274696,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",2023-02-19,226,"['13steinj', 'Damgaard@billy', 'LilSpazJoekp@indeed', 'PythonCoderAS', 'bboe@netflix', 'jarhill0@appfolio', 'leviroth', 'nmtake', 'tmelz', 'voussoir']",4,10,"['appfolio', 'billy', 'indeed', 'netflix']","['@appfolio', '@netflix', 'Billy', 'Indeed, Inc.']",,1.67,34,34,49,0,2,2,2,34.0,6.0,90.0,0.2,0,41.79714
+925,gis,https://github.com/benbovy/spherely,,,,benbovy/spherely,spherely,82,2,4,C++,https://spherely.readthedocs.io/,spherely: Manipulation and analysis of geometric objects on the sphere.,benbovy,2023-02-09,2022-11-24,12,6.377777777777778,[],2023-01-12,2,"['benbovy', 'jorisvandenbossche']",0,10,[],[],,0.79,14,10,3,1,0,0,0,14.0,30.0,90.0,2.1,0,14.05385
+668,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,81,7,2,Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2023-02-09,2021-05-18,92,0.8790697674418605,[],2021-09-17,1,['zorzi-s'],0,10,[],[],,0.0,0,0,21,17,0,0,0,0.0,0.0,90.0,0.0,0,2.4071
+327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,80,21,8,Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2023-01-25,2019-10-10,175,0.45491470349309504,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",2022-12-14,15,"['ButterB0wl@nginxinc', 'DarthHater@sonatype', 'allenhsieh', 'arichtman@silverrail', 'bhamail', 'daviskirk@oniqgmbh', 'jwa5426', 'madpah@sonatypecyclonedx', 'sanzoghenzo', 'therealak12']",5,10,"['nginxinc', 'oniqgmbh', 'silverrail', 'sonatype', 'sonatypecyclonedx']","['@nginxinc ', '@sonatype ', '@sonatype @CycloneDX ', 'ONIQ GmbH', 'SilverRail']",,0.54,6,3,41,2,4,39,4,6.0,4.0,90.0,0.7,0,31.08477
+816,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,80,10,7,Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2023-02-17,2022-10-14,18,4.2748091603053435,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",2023-01-20,4,"['amazon-auto@amazon', 'gilinachum@amazon', 'ivan-khvostishkov@amazonwebservices(aws)']",2,10,"['amazon', 'amazonwebservices(aws)']","['Amazon', 'Amazon Web Services (AWS)']",,0.73,12,6,4,1,5,15,5,12.0,20.0,90.0,1.7,0,23.54515
+584,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,78,20,8,Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2023-02-14,2019-05-14,197,0.39565217391304347,[],2023-02-06,9,"['AndreaGiardini', 'RichardScottOZ@ozminerals', 'andrewharvey@alantgeo', 'christoe@qualicodeconsulting', 'drnextgis@satellogic', 'geospatial-jeff@regrowag', 'kylebarron', 'lseelenbinder@stadiamaps', 'vincentsarago@developmentseed']",7,10,"['alantgeo', 'developmentseed', 'ozminerals', 'qualicodeconsulting', 'regrowag', 'satellogic', 'stadiamaps']","['@developmentseed ', '@regrowag', '@satellogic', '@stadiamaps ', 'Alantgeo', 'OZ Minerals', 'Qualicode Consulting']",,0.5,4,4,46,0,0,11,11,4.0,3.0,90.0,0.8,0,35.85076
+530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,74,13,14,Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2023-02-11,2019-09-29,177,0.4170692431561997,[],2020-02-02,3,"['ShahriyarR@azerbaijanpug', 'brohrer', 'gkaissis@tum,imperialcollege,openmined']",2,10,"['azerbaijanpug', 'tum,imperialcollege,openmined']","['Azerbaijan PUG', 'TUM, Imperial College, OpenMined']",,0.0,0,0,41,37,0,4,4,0.0,0.0,90.0,0.0,0,12.33775
+851,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,74,3,4,Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2023-01-17,2022-10-22,17,4.211382113821138,[],2022-11-02,1,['kshitij12345@quansight'],1,10,['quansight'],['Quansight'],,0.96,3,2,4,4,0,0,0,3.0,7.0,90.0,2.3,0,13.24375
+453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,67,26,10,Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2023-02-19,2021-02-04,106,0.6270053475935828,[],2022-11-29,5,"['hashkanna', 'koshy1123@calthorpeanalytics', 'mbforr@carto', 'remylouisew', 'tjwebb@googlegooglecloudplatform']",3,10,"['calthorpeanalytics', 'carto', 'googlegooglecloudplatform']","['@CalthorpeAnalytics ', '@google @GoogleCloudPlatform ', 'CARTO']",,0.62,1,0,25,3,0,2,2,1.0,1.0,90.0,1.0,0,22.54524
+234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,66,19,12,C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2023-01-30,2019-09-17,179,0.3684210526315789,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",2022-04-01,35,"['cerealkill@sni', 'chirag-parmar@slock.it', 'devrajsinghrawat', 'hu55a1n1', 'jbentke', 'kgeweniger@slock.it', 'leonardostsouza', 'leonardotc', 'simon-jentzsch@blockchains', 'unparalleled-js']",3,10,"['blockchains', 'slock.it', 'sni']","['@SNI', '@slock.it', 'Blockchains LLC', 'Slock.it']",,0.87,2,0,42,11,0,27,27,2.0,2.0,90.0,1.0,0,30.48011
+568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,64,4,2,Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-12-13,2020-04-13,149,0.42870813397129187,[],2021-03-05,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.0,0,0,35,24,0,0,0,0.0,0.0,90.0,0.0,0,6.21011
+968,math,https://github.com/albahnsen/pycircular,1.0,,,albahnsen/pycircular,pycircular,60,3,5,Python,,pycircular is a Python module for circular data analysis,albahnsen,2023-02-20,2022-09-12,23,2.576687116564417,[],2023-01-21,5,"['albahnsen', 'jdacevedo3010', 'jussalcedoga']",0,10,[],[],,0.83,13,3,5,1,1,2,1,13.0,0.0,90.0,0.0,0,12.69101
+535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,60,1,3,Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2023-02-20,2022-01-20,56,1.0552763819095476,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",2022-08-07,3,"['csaybar@emcdestudent', 'davemlz@rsc4earth|universityofleipzig', 'duckontheweb@regrowag']",3,10,"['emcdestudent', 'regrowag', 'rsc4earth|universityofleipzig']","['@regrowag', 'EMCDE Student', 'RSC4Earth | University of Leipzig']",,0.08,0,0,13,7,1,1,1,0.0,0.0,90.0,0.0,0,13.37216
+912,security,https://github.com/abnamro/repository-scanner,,,,abnamro/repository-scanner,repository-scanner,57,2,6,Python,,repository-scanner: Tool to detect secrets in source code management systems.,abnamro,2023-02-19,2022-09-08,23,2.3892215568862274,[],2023-02-21,6,"['DamienVermaas', 'Peter-v-d-Spek', 'Usman2ABN', 'ajaikuruppath', 'amrityamrout', 'b-abderrahmane-abnamro']",0,10,[],[],,0.73,38,36,6,0,5,10,5,38.0,2.0,90.0,0.1,0,19.70884
+521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,57,14,4,Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2023-02-10,2018-09-05,233,0.2446351931330472,[],2020-09-03,2,"['Lydorn', 'netsimilarity']",0,10,[],[],,0.0,0,0,54,30,0,0,0,0.0,0.0,90.0,0.0,0,4.44142
+854,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2019-09-18,179,0.30726256983240224,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",2022-09-22,10,"['MTullbergDebricked', 'Martomate', 'OskarHandmark@backticktechnologies', 'dependabot[bot]', 'emil-debricked', 'emilwareus', 'fredrikolsson96@backticktechnologies', 'johanhenriksson', 'michalstypa@backticktechnologies']",1,10,['backticktechnologies'],['Backtick Technologies'],,0.25,6,0,42,5,3,13,3,6.0,0.0,90.0,0.0,0,19.0544
+400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,53,8,3,HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2023-02-17,2020-06-20,139,0.3797338792221085,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",2023-02-11,2,"['dependabot[bot]', 'dylanhogg@infocruncher']",1,10,['infocruncher'],['Infocruncher'],,1.54,2,2,33,0,0,2,2,2.0,0.0,90.0,0.0,0,20.15192
+326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,52,93,10,Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2023-01-20,2019-02-03,211,0.24594594594594596,"['snyk', 'python', 'api']",2023-01-20,30,"['colinbarr@paddlehq', 'garethr@snyk', 'jdewinne@replicated.com', 'jgresty', 'lili2311@snyk', 'maxjeffos', 'mnimmny', 'mrzarquon@gitpod-io', 'nirfuchs@snyk', 'xavierxmorris']",4,10,"['gitpod-io', 'paddlehq', 'replicated.com', 'snyk']","['@PaddleHQ', '@gitpod-io ', '@snyk', '@snyk ', 'Snyk', 'replicated.com']",,0.56,28,16,49,1,8,5,8,28.0,21.0,90.0,0.8,0,36.73425
+401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,46,15,4,Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2023-02-18,2021-09-27,73,0.6276803118908382,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",2023-02-13,1,['dylanhogg@infocruncher'],1,10,['infocruncher'],['Infocruncher'],,0.33,0,0,17,0,0,1,1,0.0,0.0,90.0,0.0,0,14.12879
+924,gis,https://github.com/radiantearth/radiant-mlhub,,,,radiantearth/radiant-mlhub,radiant-mlhub,46,10,5,Python,https://radiant-mlhub.readthedocs.io/,radiant-mlhub: A Python client for the Radiant MLHub API (https://mlhub.earth).,radiantearth,2023-02-02,2020-10-13,123,0.37354988399071926,"['machine-learning', 'satellite-imagery', 'python', 'python-client', 'python-3', 'stac']",2023-02-13,9,"['PowerChell@radiantearth', 'adamjstewart@universityofillinoisaturbana-champaign', 'dependabot[bot]', 'duckontheweb@regrowag', 'guidorice@regrow', 'kbgg@radiantearth', 'rowenarono95']",4,10,"['radiantearth', 'regrow', 'regrowag', 'universityofillinoisaturbana-champaign']","['@radiantearth ', '@regrowag', 'Regrow', 'University of Illinois at Urbana-Champaign']",,1.44,12,8,29,0,7,8,7,12.0,7.0,90.0,0.6,0,33.11436
+202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,45,10,1,Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2023-02-19,2021-03-13,101,0.4430379746835443,[],2023-01-21,1,['nerolation@viennauniversityofeconomicsandbusiness(wu)'],1,10,['viennauniversityofeconomicsandbusiness(wu)'],['Vienna University of Economics and Business (WU)'],,1.69,0,0,24,1,0,0,0,0.0,0.0,90.0,0.0,0,13.1966
+776,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,40,27,11,Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2023-02-15,2017-02-14,314,0.1273306048203729,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",2021-11-19,9,"['bettinardi@oregondepartmentoftransportation', 'binnympaul', 'blakerosenthal', 'bstabler@ptvgroup', 'jamiecook', 'jfdman', 'johnklawlor', 'toliwaga']",2,10,"['oregondepartmentoftransportation', 'ptvgroup']","['Oregon Department of Transportation', 'PTV Group']",,0.0,5,1,73,15,0,1,1,5.0,4.0,90.0,0.8,0,20.95529
+979,sim,https://github.com/glpcc/pokerpy,,,,glpcc/pokerpy,PokerPy,40,4,1,C++,,PokerPy: Texas Hold'em Poker Probability Calculator in Python,glpcc,2023-02-10,2022-12-11,10,3.835616438356164,"['cpp', 'fast', 'performance', 'poker', 'pybind11', 'python', 'texas-holdem']",2023-02-10,2,"['glpcc@universidadpolitécnicademadrid', 'luigibrancati']",1,10,['universidadpolitécnicademadrid'],['Universidad Politécnica de Madrid'],,1.08,1,1,2,0,0,0,0,1.0,8.0,90.0,8.0,0,20.65858
+821,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,39,3,4,Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2023-02-15,2020-10-26,121,0.3215547703180212,[],2022-12-16,1,['ddelange'],0,10,[],[],,0.29,5,4,28,2,9,8,9,5.0,8.0,90.0,1.6,0,18.42685
+940,data,https://github.com/scylladb/python-driver,,,,scylladb/python-driver,python-driver,38,27,6,Python,https://python-driver.docs.scylladb.com,"python-driver: ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra",scylladb,2023-02-02,2018-11-20,222,0.17106109324758842,"['scylladb', 'python']",2023-02-15,204,"['GregBestland', 'TheRealFalcon@canonical', 'aboudreault@kovarogroup', 'aholmberg', 'bdeggleston@apple', 'fruch@scylladb', 'joaquincasares@audiusproject', 'mambocab@rapid7', 'rustyrazorblade@apple', 'thobbs@anticlassicstudios']",7,10,"['anticlassicstudios', 'apple', 'audiusproject', 'canonical', 'kovarogroup', 'rapid7', 'scylladb']","['@AudiusProject', '@scylladb', 'Anticlassic Studios, LLC', 'Apple', 'Canonical', 'Kovaro Group', 'Rapid7']",,1.75,36,23,52,0,0,26,26,36.0,67.0,90.0,1.9,0,51.45826
+386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,36,5,1,Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2023-02-07,2020-11-19,117,0.3054545454545455,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",2022-09-28,4,['FerdinandZhong'],0,10,[],[],,0.17,0,0,27,5,2,2,2,0.0,0.0,90.0,0.0,0,10.45315
+918,ml-ops,https://github.com/anyscale/airflow-provider-ray,,,,anyscale/airflow-provider-ray,airflow-provider-ray,32,10,13,Python,,airflow-provider-ray: Ray provider for Apache Airflow,anyscale,2022-11-16,2021-03-05,102,0.31154381084840055,[],2021-10-03,8,"['dimberman@astronomerio', 'mrrobby@advocatingdistributeddataplatforms', 'petedejoy@astronomer', 'pgzmnk@astronomer.io', 'richardliaw@anyscale', 'sunkickr@astronomer']",5,10,"['advocatingdistributeddataplatforms', 'anyscale', 'astronomer', 'astronomer.io', 'astronomerio']","['@anyscale', '@astronomer', '@astronomerio', 'Advocating Distributed Data Platforms', 'Astronomer', 'Astronomer.io']",,0.0,1,0,24,17,0,0,0,1.0,3.0,90.0,3.0,0,22.02763
+333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,2,3,Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2021-12-16,61,0.5173210161662818,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",2023-01-14,4,"['Gondolav', 'dependabot[bot]', 'm-doescode', 'samuelchassot@epfl']",1,10,['epfl'],['EPFL'],,0.71,25,20,14,1,1,6,1,25.0,30.0,90.0,1.2,0,22.63874
+921,util,https://github.com/python-odin/odin,,,,python-odin/odin,odin,29,7,3,Python,https://odin.readthedocs.org/en/latest/,"odin: Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python",python-odin,2023-02-14,2013-08-20,496,0.05845090699683271,"['python', 'validation', 'data-structures', 'data-mapping', 'serialize', 'de-serialize', 'json', 'csv', 'msgpack', 'xml', 'yaml']",2023-02-19,8,"['dependabot-preview[bot]', 'dependabot[bot]', 'pyup-bot@pyupio', 'thedrow', 'timsavage@westpac']",2,10,"['pyupio', 'westpac']","['@pyupio', 'Westpac']",,2.21,11,9,116,0,12,7,12,11.0,13.0,90.0,1.2,0,36.35804
+711,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,29,1,7,Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-12-22,2019-10-24,173,0.16680361544782252,[],2021-06-28,6,"['Hyrae', 'frapac@argonnenationallaboratory']",1,10,['argonnenationallaboratory'],['Argonne National Laboratory'],,0.0,0,0,41,20,0,2,2,0.0,0.0,90.0,0.0,0,12.43753
+502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2021-05-21,91,0.3052959501557632,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",2022-12-03,1,['gregorhd@gafag'],1,10,['gafag'],['GAF AG'],,0.04,0,0,21,3,0,2,2,0.0,0.0,90.0,0.0,0,11.52513
+934,ml,https://github.com/pgniewko/forward_forward_vhts,,,,pgniewko/forward_forward_vhts,forward_forward_vhts,28,5,1,Jupyter Notebook,,forward_forward_vhts: The Forward-Forward Algorithm for Drug Discovery,pgniewko,2023-02-18,2022-12-29,7,3.5636363636363635,[],2022-12-30,1,['pgniewko@atomwise'],1,10,['atomwise'],"['Atomwise, Inc.']",,0.12,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,0,6.46599
+894,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,28,9,9,Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2023-01-31,2016-03-22,361,0.07753164556962025,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",2020-01-02,7,"['jaantollander@aaltouniversity', 'pyup-bot@pyupio']",2,10,"['aaltouniversity', 'pyupio']","['@pyupio', 'Aalto University']",,0.0,1,0,84,38,0,0,0,1.0,0.0,90.0,0.0,0,13.52448
+578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,25,5,0,Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2023-02-16,2021-12-04,63,0.39325842696629215,[],2022-01-30,10,"['Robpol86', 'aleivag', 'bcho', 'kovacsbalu', 'liiight', 'matthewdeanmartin', 'mgorny@projg2', 'msabramo@adobe', 'zqqf16']",2,10,"['adobe', 'projg2']","['@adobe', '@projg2']",,0.0,1,0,15,13,0,12,12,1.0,0.0,90.0,0.0,0,17.39845
+688,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,4,1,Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2023-02-11,2022-03-22,48,0.47774480712166173,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",2023-02-19,3,"['JerryYLi', 'rpand002@mit-ibmwatsonailab']",1,10,['mit-ibmwatsonailab'],['MIT-IBM Watson AI Lab'],,0.33,1,1,11,0,2,2,2,1.0,2.0,90.0,2.0,0,21.3917
+37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2014-08-04,446,0.0470550576184379,[],2022-11-02,8,"['jszymon', 'mkorzen1729', 'ricardoV94']",0,10,[],[],,0.04,1,0,104,4,0,0,0,1.0,0.0,90.0,0.0,0,14.08397
+840,data,https://github.com/codait/pardata,,,,codait/pardata,pardata,18,5,11,Python,https://pardata.readthedocs.io/en/latest/,codait/pardata,codait,2022-08-14,2020-11-17,118,0.1523579201934704,"['dataset', 'python', 'machine-learning', 'artificial-intelligence', 'data-science']",2021-12-01,7,"['cclauss@christianclauss', 'dependabot[bot]', 'djalova', 'edwardleardi@ibmcodait', 'renovate[bot]', 'tlzhu19@ibm', 'xuhdev@google']",4,10,"['christianclauss', 'google', 'ibm', 'ibmcodait']","['@Google', '@IBM @CODAIT ', 'Christian Clauss', 'IBM']",,0.0,0,0,28,15,0,3,3,0.0,0.0,90.0,0.0,0,17.57394
+919,study,https://github.com/anyscale/rl-course,,,,anyscale/rl-course,rl-course,17,0,5,Jupyter Notebook,,anyscale/rl-course,anyscale,2023-02-07,2022-03-01,51,0.3324022346368715,[],2023-01-02,2,['maxpumperla'],0,10,[],[],,4.96,0,0,12,2,0,0,0,0.0,0.0,90.0,0.0,0,9.67179
+669,gis,https://github.com/zorzi-s/maprepair,,,,zorzi-s/maprepair,MapRepair,17,4,2,Python,,MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images,zorzi-s,2023-02-17,2020-07-30,133,0.12700106723585913,[],2021-05-17,1,['zorzi-s'],0,10,[],[],,0.0,0,0,31,22,0,0,0,0.0,0.0,90.0,0.0,0,2.72495
+679,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2021-01-21,108,0.14698162729658792,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",2023-01-30,2,"['MarkHershey', 'lambdaofgod']",0,10,[],[],,0.37,1,0,25,1,1,3,1,1.0,1.0,90.0,1.0,0,14.52017
+892,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,16,5,5,Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2023-01-26,2022-09-15,22,0.7,"['package-installer', 'pyodide', 'python', 'webassembly']",2023-02-20,6,"['hoodmane@mitmathdepartment', 'joemarshall', 'mentalisttraceur', 'pre-commit-ci[bot]', 'rth', 'ryanking13']",1,10,['mitmathdepartment'],['MIT Math Department'],,0.71,30,27,5,0,0,7,7,30.0,37.0,90.0,1.2,0,25.81524
+702,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-12-16,2019-08-05,185,0.05397070161912105,[],2022-01-25,6,"['erteich', 'harangju']",0,10,[],[],,0.0,0,0,43,13,0,0,0,0.0,0.0,90.0,0.0,0,8.18476
+608,typing,https://github.com/tk0miya/docutils-stubs,,,,tk0miya/docutils-stubs,docutils-stubs,7,5,6,Python,,tk0miya/docutils-stubs,tk0miya,2022-01-02,2018-11-02,224,0.031150667514303877,[],2022-01-02,6,"['Huy-Ngo', 'McSinyx@unist', 'cocoatomo', 'danieleades', 'flying-sheep@cellarity', 'tk0miya@timeintermedia(timedia)']",3,10,"['cellarity', 'timeintermedia(timedia)', 'unist']","['@Cellarity', 'Time Intermedia (@timedia)', 'UNIST']",,0.0,0,0,52,14,0,4,4,0.0,0.0,90.0,0.0,0,18.14607
+920,ml-ops,https://github.com/anyscale/prefect-anyscale,,,,anyscale/prefect-anyscale,prefect-anyscale,6,1,3,Python,,prefect-anyscale: Prefect integration with Anyscale,anyscale,2023-02-20,2022-11-07,15,0.3925233644859813,[],2023-02-15,1,['pcmoritz@anyscale'],1,10,['anyscale'],['Anyscale'],,0.44,10,8,4,0,8,24,8,10.0,4.0,90.0,0.4,0,18.40751
+180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,6,5,3,Python,,dynpy: Dynamical systems for Python,artemyk,2022-12-27,2014-09-12,440,0.013614262560777957,[],2018-09-28,5,"['artemyk', 'gdmcbain']",0,10,[],[],,0.0,0,0,103,54,0,0,0,0.0,0.0,90.0,0.0,0,6.51255
+911,data,https://github.com/malloydata/malloy-py,,,,malloydata/malloy-py,malloy-py,3,1,4,Python,,malloy-py: Python package for executing Malloy,malloydata,2023-02-07,2022-11-02,16,0.1875,"['business-analytics', 'business-intelligence', 'data', 'data-modeling', 'python', 'sql', 'semantic-modeling']",2023-01-17,1,['gmaden'],0,10,[],[],,1.02,1,0,4,1,1,15,1,1.0,1.0,90.0,1.0,0,10.01689
+526,gis,https://github.com/lycantropos/wagyu,,,,lycantropos/wagyu,wagyu,3,2,1,Python,https://github.com/mapbox/wagyu,wagyu: Python port of mapbox/wagyu library (with separate C++ binding),lycantropos,2022-07-19,2020-06-30,138,0.02171664943123061,[],2020-11-21,2,"['lycantropos', 'synapticarbors']",0,10,[],[],,0.0,0,0,32,27,0,2,2,0.0,0.0,90.0,0.0,0,5.39877
+420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2020-02-12,158,0.006329113924050633,"['python', 'template', 'jupyterlab', 'cookiecutter']",2022-08-19,2,"['dependabot[bot]', 'dylanhogg@infocruncher']",1,10,['infocruncher'],['Infocruncher'],,0.04,2,0,37,6,0,1,1,2.0,0.0,90.0,0.0,0,12.64824
+751,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,1,0,2,Python,,edomel/boundaryvt,edomel,2022-12-19,2022-07-29,29,0.03365384615384615,[],2023-01-11,3,"['ajadchhatkuli@ethzurich', 'edomel']",1,10,['ethzurich'],['ETH Zurich'],,0.13,1,0,7,0,0,0,0,1.0,1.0,90.0,1.0,0,15.95957
diff --git a/github_data.json b/github_data.json
index 0d8e170..6e36cc1 100644
--- a/github_data.json
+++ b/github_data.json
@@ -45,10 +45,6 @@
                 "name": "_watches",
                 "type": "integer"
             },
-            {
-                "name": "_topics",
-                "type": "string"
-            },
             {
                 "name": "_language",
                 "type": "string"
@@ -69,10 +65,6 @@
                 "name": "_updated_at",
                 "type": "string"
             },
-            {
-                "name": "_last_commit_date",
-                "type": "string"
-            },
             {
                 "name": "_created_at",
                 "type": "string"
@@ -85,10 +77,22 @@
                 "name": "_stars_per_week",
                 "type": "number"
             },
+            {
+                "name": "_topics",
+                "type": "string"
+            },
+            {
+                "name": "_last_commit_date",
+                "type": "string"
+            },
             {
                 "name": "_pop_contributor_count",
                 "type": "integer"
             },
+            {
+                "name": "_pop_contributor_logins",
+                "type": "string"
+            },
             {
                 "name": "_pop_contributor_orgs_len",
                 "type": "integer"
@@ -101,6 +105,10 @@
                 "name": "_pop_contributor_orgs",
                 "type": "string"
             },
+            {
+                "name": "_pop_contributor_orgs_raw",
+                "type": "string"
+            },
             {
                 "name": "_pop_contributor_orgs_error",
                 "type": "string"
@@ -201,9 +209,17 @@
             "description": null,
             "_repopath": "tensorflow/tensorflow",
             "_reponame": "tensorflow",
-            "_stars": 169751,
-            "_forks": 87558,
-            "_watches": 7793,
+            "_stars": 171400,
+            "_forks": 87832,
+            "_watches": 7764,
+            "_language": "C++",
+            "_homepage": "https://tensorflow.org",
+            "_description": "tensorflow: An Open Source Machine Learning Framework for Everyone",
+            "_organization": "tensorflow",
+            "_updated_at": "2023-02-21T00:00:00.000Z",
+            "_created_at": "2015-11-07T00:00:00.000Z",
+            "_age_weeks": 380,
+            "_stars_per_week": 450.38,
             "_topics": [
                 "tensorflow",
                 "machine-learning",
@@ -214,37 +230,47 @@
                 "ml",
                 "distributed"
             ],
-            "_language": "C++",
-            "_homepage": "https://tensorflow.org",
-            "_description": "tensorflow: An Open Source Machine Learning Framework for Everyone",
-            "_organization": "tensorflow",
-            "_updated_at": "2022-12-18T00:00:00.000Z",
-            "_last_commit_date": "2022-12-18T00:00:00.000Z",
-            "_created_at": "2015-11-07T00:00:00.000Z",
-            "_age_weeks": 371,
-            "_stars_per_week": 457.2,
-            "_pop_contributor_count": 4198,
-            "_pop_contributor_orgs_len": 2,
-            "_pop_contributor_orgs_max": 5,
+            "_last_commit_date": "2023-02-21T00:00:00.000Z",
+            "_pop_contributor_count": 4275,
+            "_pop_contributor_logins": [
+                "benoitsteiner",
+                "caisq@google",
+                "gunan@googletensorflow",
+                "hawkinsp@google",
+                "mihaimaruseac@google",
+                "mrry",
+                "roserg",
+                "tensorflower-gardener",
+                "vrv@carnegiemellonuniversity",
+                "yongtang"
+            ],
+            "_pop_contributor_orgs_len": 3,
+            "_pop_contributor_orgs_max": 10,
             "_pop_contributor_orgs": [
+                "carnegiemellonuniversity",
                 "google",
                 "googletensorflow"
             ],
+            "_pop_contributor_orgs_raw": [
+                "@google @tensorflow ",
+                "Carnegie Mellon University",
+                "Google"
+            ],
             "_pop_contributor_orgs_error": null,
-            "_pop_commit_frequency": 312.65,
-            "_pop_updated_issues_count": 2393,
-            "_pop_closed_issues_count": 1430,
-            "_pop_created_since_days": 87,
+            "_pop_commit_frequency": 321.21,
+            "_pop_updated_issues_count": 2254,
+            "_pop_closed_issues_count": 1372,
+            "_pop_created_since_days": 89,
             "_pop_updated_since_days": 0,
-            "_pop_recent_releases_count": 32,
+            "_pop_recent_releases_count": 27,
             "_pop_recent_releases_estimated_tags": 26,
-            "_pop_recent_releases_adjusted_count": 32,
-            "_pop_issue_count": 2393.0,
-            "_pop_comment_count": 6694.0,
+            "_pop_recent_releases_adjusted_count": 27,
+            "_pop_issue_count": 2255.0,
+            "_pop_comment_count": 6541.0,
             "_pop_comment_count_lookback_days": 90.0,
-            "_pop_comment_frequency": 2.8,
-            "_pop_dependents_count": 175460,
-            "_pop_score": 92.8,
+            "_pop_comment_frequency": 2.9,
+            "_pop_dependents_count": 0,
+            "_pop_score": 72.75,
             "_readme_filename": "README.md",
             "_readme_giturl": "https://raw.githubusercontent.com/tensorflow/tensorflow/master/README.md",
             "_readme_localurl": "tensorflow~tensorflow~README.md",
@@ -261,9 +287,17 @@
             "description": null,
             "_repopath": "thealgorithms/python",
             "_reponame": "Python",
-            "_stars": 150017,
-            "_forks": 38545,
-            "_watches": 5937,
+            "_stars": 153358,
+            "_forks": 39092,
+            "_watches": 5962,
+            "_language": "Python",
+            "_homepage": "https://the-algorithms.com/",
+            "_description": "Python: All Algorithms implemented in Python",
+            "_organization": "thealgorithms",
+            "_updated_at": "2023-02-21T00:00:00.000Z",
+            "_created_at": "2016-07-16T00:00:00.000Z",
+            "_age_weeks": 344,
+            "_stars_per_week": 445.07,
             "_topics": [
                 "python",
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@@ -280,39 +314,53 @@
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@@ -782,34 +960,45 @@
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@@ -966,38 +1213,53 @@
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\ No newline at end of file
diff --git a/github_tags_data.json b/github_tags_data.json
index 2be2160..5b3756e 100644
--- a/github_tags_data.json
+++ b/github_tags_data.json
@@ -24,8 +24,10 @@
     "big-data": "big-data",
     "bitcoin": "bitcoin",
     "c-plus-plus": "c-plus-plus",
+    "classification": "classification",
     "cli": "cli",
     "closember": "closember",
+    "compiler": "compiler",
     "computer-vision": "computer-vision",
     "cookiecutter": "cookiecutter",
     "crawler": "crawler",
@@ -45,12 +47,11 @@
     "database": "database",
     "dataframe": "dataframe",
     "datascience": "datascience",
-    "dataset": "dataset",
     "datasets": "datasets",
+    "dataviz": "dataviz",
     "debugger": "debugger",
     "deep-learning": "deep-learning",
     "deep-neural-networks": "deep-neural-networks",
-    "deep-reinforcement-learning": "deep-reinforcement-learning",
     "deeplearning": "deeplearning",
     "distributed": "distributed",
     "distributed-computing": "distributed-computing",
@@ -58,6 +59,7 @@
     "docker": "docker",
     "ethereum": "ethereum",
     "etl": "etl",
+    "explainable-ai": "explainable-ai",
     "fastapi": "fastapi",
     "feature-engineering": "feature-engineering",
     "flask": "flask",
@@ -68,19 +70,19 @@
     "geospatial": "geospatial",
     "gis": "gis",
     "gpu": "gpu",
-    "gradient-boosting": "gradient-boosting",
     "graph-neural-networks": "graph-neural-networks",
     "gui": "gui",
     "hacktoberfest": "hacktoberfest",
+    "holoviews": "holoviews",
     "holoviz": "holoviz",
     "http": "http",
     "http-server": "http-server",
     "huggingface": "huggingface",
     "hyperparameter-optimization": "hyperparameter-optimization",
+    "hyperparameter-tuning": "hyperparameter-tuning",
     "image-classification": "image-classification",
     "image-processing": "image-processing",
     "inference": "inference",
-    "information-retrieval": "information-retrieval",
     "interpretability": "interpretability",
     "ipython": "ipython",
     "javascript": "javascript",
@@ -94,21 +96,18 @@
     "keras": "keras",
     "kubernetes": "kubernetes",
     "language-model": "language-model",
-    "latex": "latex",
     "library": "library",
     "linter": "linter",
     "linux": "linux",
     "logging": "logging",
     "machine-learning": "machine-learning",
     "machine-learning-algorithms": "machine-learning-algorithms",
-    "machine-translation": "machine-translation",
     "machinelearning": "machinelearning",
     "macos": "macos",
     "mapping": "mapping",
     "maps": "maps",
     "markdown": "markdown",
     "matplotlib": "matplotlib",
-    "microservices": "microservices",
     "ml": "ml",
     "mlops": "mlops",
     "models": "models",
@@ -117,7 +116,6 @@
     "natural-language-processing": "natural-language-processing",
     "neural-network": "neural-network",
     "neural-networks": "neural-networks",
-    "neural-search": "neural-search",
     "nlp": "nlp",
     "nlp-library": "nlp-library",
     "notebook": "notebook",
@@ -129,11 +127,14 @@
     "openapi": "openapi",
     "opengl": "opengl",
     "openstreetmap": "openstreetmap",
+    "optimization": "optimization",
+    "orm": "orm",
     "packaging": "packaging",
     "pallets": "pallets",
     "pandas": "pandas",
     "pandas-dataframe": "pandas-dataframe",
     "parallel": "parallel",
+    "performance": "performance",
     "pipeline": "pipeline",
     "plotly": "plotly",
     "plotly-dash": "plotly-dash",
@@ -151,12 +152,11 @@
     "pytorch": "pytorch",
     "r": "r",
     "raster": "raster",
-    "react": "react",
     "regression": "regression",
     "reinforcement-learning": "reinforcement-learning",
     "remote-sensing": "remote-sensing",
     "rest": "rest",
-    "robotics": "robotics",
+    "satellite-imagery": "satellite-imagery",
     "scikit-learn": "scikit-learn",
     "security": "security",
     "semantic-search": "semantic-search",
@@ -171,6 +171,7 @@
     "stable-diffusion": "stable-diffusion",
     "starlette": "starlette",
     "static-analysis": "static-analysis",
+    "static-code-analysis": "static-code-analysis",
     "statistics": "statistics",
     "streamlit": "streamlit",
     "super-resolution": "super-resolution",
@@ -183,14 +184,13 @@
     "time": "time",
     "time-series": "time-series",
     "time-series-analysis": "time-series-analysis",
-    "topic-modeling": "topic-modeling",
     "transfer-learning": "transfer-learning",
     "transformer": "transformer",
     "transformers": "transformers",
     "trio": "trio",
-    "ui": "ui",
     "visualization": "visualization",
     "web": "web",
+    "web-framework": "web-framework",
     "windows": "windows",
     "word-embeddings": "word-embeddings",
     "workflow": "workflow",

From b49d813c4570ae0d87e17a0ef6eedd97e3c792a0 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Wed, 22 Feb 2023 13:59:03 +1100
Subject: [PATCH 13/20] Updated scorer v2.

---
 src/library/scorer.py | 25 +++++++++++++------------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/src/library/scorer.py b/src/library/scorer.py
index b2688e0..41efde0 100644
--- a/src/library/scorer.py
+++ b/src/library/scorer.py
@@ -13,27 +13,27 @@ def score(row):
         # Weights for various parameters.
         CREATED_SINCE_WEIGHT = 1
         UPDATED_SINCE_WEIGHT = -1
-        CONTRIBUTOR_COUNT_WEIGHT = 2
+        CONTRIBUTOR_COUNT_WEIGHT = 1
         ORG_COUNT_WEIGHT = 1
         COMMIT_FREQUENCY_WEIGHT = 1
         RECENT_RELEASES_WEIGHT = 0.5
         CLOSED_ISSUES_WEIGHT = 0.5
         UPDATED_ISSUES_WEIGHT = 0.5
-        COMMENT_FREQUENCY_WEIGHT = 1
-        DEPENDENTS_COUNT_WEIGHT = 2
+        COMMENT_FREQUENCY_WEIGHT = 1.5
+        STARS_PER_WEEK_WEIGHT = 6
 
         # Max thresholds for various parameters.
         CREATED_SINCE_THRESHOLD = 120
         UPDATED_SINCE_THRESHOLD = 120
-        CONTRIBUTOR_COUNT_THRESHOLD = 5000
+        CONTRIBUTOR_COUNT_THRESHOLD = 2000
         ORG_COUNT_THRESHOLD = 10
-        COMMIT_FREQUENCY_THRESHOLD = 1000
-        RECENT_RELEASES_THRESHOLD = 26
+        COMMIT_FREQUENCY_THRESHOLD = 500
+        RECENT_RELEASES_THRESHOLD = 10
         CLOSED_ISSUES_THRESHOLD = 5000
         UPDATED_ISSUES_THRESHOLD = 5000
         COMMENT_FREQUENCY_THRESHOLD = 15
-        DEPENDENTS_COUNT_THRESHOLD = 500000
-        
+        STARS_PER_WEEK_THRESHOLD = 400
+
         def _get_param_score(param, max_value, weight=1.0):
             """Return paramater score given its current value, max value and
             parameter weight."""
@@ -43,7 +43,7 @@ def _get_param_score(param, max_value, weight=1.0):
                         CONTRIBUTOR_COUNT_WEIGHT + ORG_COUNT_WEIGHT +
                         COMMIT_FREQUENCY_WEIGHT + RECENT_RELEASES_WEIGHT +
                         CLOSED_ISSUES_WEIGHT + UPDATED_ISSUES_WEIGHT +
-                        COMMENT_FREQUENCY_WEIGHT + DEPENDENTS_COUNT_WEIGHT)
+                        COMMENT_FREQUENCY_WEIGHT + STARS_PER_WEEK_WEIGHT)
 
         score_sum = ((_get_param_score(row['_pop_created_since_days'],
                                        CREATED_SINCE_THRESHOLD, CREATED_SINCE_WEIGHT)) +
@@ -63,9 +63,10 @@ def _get_param_score(param, max_value, weight=1.0):
                                        UPDATED_ISSUES_THRESHOLD, UPDATED_ISSUES_WEIGHT)) +
                      (_get_param_score(row['_pop_comment_frequency'],
                                        COMMENT_FREQUENCY_THRESHOLD, COMMENT_FREQUENCY_WEIGHT)) +
-                     (_get_param_score(row['_pop_dependents_count'],
-                                       DEPENDENTS_COUNT_THRESHOLD, DEPENDENTS_COUNT_WEIGHT)))
+                     (_get_param_score(row['_stars_per_week'],
+                                       STARS_PER_WEEK_THRESHOLD, STARS_PER_WEEK_WEIGHT))
+                     )
 
         criticality_score = round(100 * score_sum / total_weight, 5)
-        logger.info(f"Calculated {criticality_score=} for {row['_repopath']}")
+        logger.trace(f"Calculated {criticality_score=} for {row['_repopath']}")
         return criticality_score

From 4b3b860daecaad148358c4efb3a59881de89321e Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Wed, 22 Feb 2023 16:11:37 +1100
Subject: [PATCH 14/20] Remove dependents_count and refactoring.

---
 src/app.py                 |   3 +-
 src/library/metrics.py     | 243 +++++++++++--------------------------
 src/library/postprocess.py |   2 -
 src/library/render.py      |  27 ++---
 4 files changed, 83 insertions(+), 192 deletions(-)

diff --git a/src/app.py b/src/app.py
index c5d4c1a..d4bf0e8 100644
--- a/src/app.py
+++ b/src/app.py
@@ -18,9 +18,10 @@ def main():
 
 
 def write_tags():
+    # TEMP: remove once tag filtering implemented
     github_json_filename = "github_data.json"
     github_tags_json_filename = "github_tags_data.json"
-    postprocess.write_tags(github_json_filename, github_tags_json_filename, 200)
+    postprocess.write_tags(github_json_filename, github_tags_json_filename, most_common=200)
 
 
 if __name__ == "__main__":
diff --git a/src/library/metrics.py b/src/library/metrics.py
index d319d3b..cdc8ae0 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -1,9 +1,6 @@
-import requests
 import time
-import re
 from datetime import datetime, timedelta
-from typing import List
-from tenacity import retry, wait_exponential, stop_after_attempt, retry_if_exception_type
+from tenacity import retry, wait_exponential, stop_after_attempt
 from loguru import logger
 from library.ghw import GithubWrapper
 from joblib import Memory
@@ -13,34 +10,26 @@
 memory = Memory(".joblib_cache")
 
 
+def log_retry(state):
+    msg = f"Tenacity retry {state.fn.__name__}: {state.attempt_number=}, {state.idle_for=}, {state.seconds_since_start=}"
+    if state.attempt_number < 1:
+        logger.info(msg)
+    else:
+        logger.exception(msg)
+
+
 class StandardMetrics:
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def get_repo_topics(token_list: List[str], name: str):
-        return GithubWrapper(token_list).get_repo(name).get_topics()
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def get_repo_topics(ghw: GithubWrapper, name: str):
+        return ghw.get_repo(name).get_topics()
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def last_commit_date(token_list: List[str], name: str):
-        modified = GithubWrapper(token_list).get_repo(name).get_commits().get_page(0)[0].last_modified
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def last_commit_date(ghw: GithubWrapper, name: str):
+        modified = ghw.get_repo(name).get_commits().get_page(0)[0].last_modified
         return datetime.strptime(
             modified,
             "%a, %d %b %Y %H:%M:%S %Z",
@@ -54,34 +43,18 @@ class PopularityMetrics:
     """
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def _get_contributors(token_list: List[str], name: str, anon: str = "true") -> PaginatedList:
-        repo = GithubWrapper(token_list).get_repo(name)
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def _get_contributors(ghw: GithubWrapper, name: str, anon: str = "true") -> PaginatedList:
+        repo = ghw.get_repo(name)
         return repo.get_contributors(anon=anon)
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        retry=retry_if_exception_type(RateLimitExceededException),
-        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def contributor_count(token_list: List[str], name: str) -> int:
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def contributor_count(ghw: GithubWrapper, name: str) -> int:
         try:
-            return PopularityMetrics._get_contributors(token_list, name).totalCount
+            return PopularityMetrics._get_contributors(ghw, name).totalCount
         except RateLimitExceededException as ex:
             logger.error(f"contributor_count rate exception: {ex}")
             raise ex
@@ -96,15 +69,10 @@ def contributor_count(token_list: List[str], name: str) -> int:
     #     return contributor.company
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        retry=retry_if_exception_type(RateLimitExceededException),
-        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def contributor_orgs_dict(token_list: List[str], name: str, sleep: int = 1, max_contrib_count: int = 10) -> dict:
-        repo = GithubWrapper(token_list).get_repo(name)  # TODO: randomise token_list in ghw??
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def contributor_orgs_dict(ghw: GithubWrapper, name: str, sleep: int = 1, max_contrib_count: int = 10) -> dict:
+        repo = ghw.get_repo(name)  # TODO: randomise token_list in ghw??
 
         def _filter_name(org_name):
             return org_name.lower().replace(' ', '').replace(',inc.', '').replace('inc.', '') \
@@ -133,39 +101,33 @@ def _filter_name(org_name):
                     contributor_logins.add(contributor.login)
         except RateLimitExceededException as ex:
             logger.warning(f"get_contributor_company rate exception ({sleep=}): {ex}")
-            # TODO: add sleep and retry
             raise ex
         except Exception as ex:
             # Typically a large number of contributors
-            # TODO: add sleep and retry
             logger.warning(f"get_contributor_company {type(ex)} exception: {ex}")
             return {
-                "_pop_contributor_logins": None,
+                # "_pop_contributor_logins": None,
                 "_pop_contributor_orgs_len": -1,
-                "_pop_contributor_orgs_max": max_contrib_count,
-                "_pop_contributor_orgs": None,
-                "_pop_contributor_orgs_raw": None,
-                "_pop_contributor_orgs_error": str(ex)
+                # "_pop_contributor_orgs_max": max_contrib_count,
+                # "_pop_contributor_orgs": None,
+                # "_pop_contributor_orgs_raw": None,
+                "_pop_contributor_orgs_error": len(str(ex))
+                # "_pop_contributor_orgs_error": str(ex)
             }
         return {
-            "_pop_contributor_logins": sorted(contributor_logins),
+            # "_pop_contributor_logins": sorted(contributor_logins),
             "_pop_contributor_orgs_len": len(orgs),
-            "_pop_contributor_orgs_max": max_contrib_count,
-            "_pop_contributor_orgs": sorted(orgs),
-            "_pop_contributor_orgs_raw": sorted(orgs_raw),
-            "_pop_contributor_orgs_error": None
+            # "_pop_contributor_orgs_max": max_contrib_count,
+            # "_pop_contributor_orgs": sorted(orgs),
+            # "_pop_contributor_orgs_raw": sorted(orgs_raw),
+            # "_pop_contributor_orgs_error": None
         }
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def commit_frequency(token_list: List[str], name: str) -> float:
-        repo = GithubWrapper(token_list).get_repo(name)
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def commit_frequency(ghw: GithubWrapper, name: str) -> float:
+        repo = ghw.get_repo(name)
         # NOTE: get_stats_commit_activity Returns the last year of commit activity grouped by week
         stats_commit_activity = repo.get_stats_commit_activity()
         assert len(stats_commit_activity) == 52
@@ -175,46 +137,31 @@ def commit_frequency(token_list: List[str], name: str) -> float:
         return round(total / len(stats_commit_activity), 2)
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def updated_issues_count(token_list: List[str], name: str) -> int:
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def updated_issues_count(ghw: GithubWrapper, name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = GithubWrapper(token_list).get_repo(name)
+        repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='all', since=issues_since_time).totalCount
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def closed_issues_count(token_list: List[str], name: str) -> int:
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def closed_issues_count(ghw: GithubWrapper, name: str) -> int:
         ISSUE_LOOKBACK_DAYS = 90
         # TODO: make generic with updated_issues_count?
-        repo = GithubWrapper(token_list).get_repo(name)
+        repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         return repo.get_issues(state='closed', since=issues_since_time).totalCount
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def created_since_days(token_list: List[str], name: str) -> int:
-        repo = GithubWrapper(token_list).get_repo(name)
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def created_since_days(ghw: GithubWrapper, name: str) -> int:
+        repo = ghw.get_repo(name)
         creation_time = repo.created_at
 
         # See if there exist any commits before this repository creation
@@ -234,31 +181,21 @@ def created_since_days(token_list: List[str], name: str) -> int:
         return round(difference.days / 30)
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def updated_since_days(token_list: List[str], name: str) -> int:
-        repo = GithubWrapper(token_list).get_repo(name)
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def updated_since_days(ghw: GithubWrapper, name: str) -> int:
+        repo = ghw.get_repo(name)
         last_commit = repo.get_commits()[0]
         last_commit_time = last_commit.commit.author.date
         difference = datetime.utcnow() - last_commit_time
         return round(difference.days / 30)
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def recent_releases_count_dict(token_list: List[str], name: str) -> dict:
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def recent_releases_count_dict(ghw: GithubWrapper, name: str) -> dict:
         RELEASE_LOOKBACK_DAYS = 365
-        repo = GithubWrapper(token_list).get_repo(name)
+        repo = ghw.get_repo(name)
         recent_releases_count = 0
         for release in repo.get_releases():
             if (datetime.utcnow() -
@@ -270,7 +207,7 @@ def recent_releases_count_dict(token_list: List[str], name: str) -> dict:
         # Make rough estimation of tags used in last year from overall
         # project history. This query is extremely expensive, so instead
         # do the rough calculation.
-        days_since_creation = PopularityMetrics.created_since_days(token_list, name) * 30
+        days_since_creation = PopularityMetrics.created_since_days(ghw, name) * 30
         if days_since_creation:
             total_tags = repo.get_tags().totalCount
             estimated_tags = round(
@@ -287,16 +224,11 @@ def recent_releases_count_dict(token_list: List[str], name: str) -> dict:
         }
 
     @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        before_sleep=lambda x: logger.exception(
-            f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def comment_frequency(token_list: List[str], name: str) -> dict:
+    @memory.cache(ignore=["ghw"])
+    @retry(wait=wait_exponential(multiplier=2, min=10, max=1200), stop=stop_after_attempt(50), before_sleep=log_retry)
+    def comment_frequency(ghw: GithubWrapper, name: str) -> dict:
         ISSUE_LOOKBACK_DAYS = 90
-        repo = GithubWrapper(token_list).get_repo(name)
+        repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
         issue_count = repo.get_issues(state='all', since=issues_since_time).totalCount
@@ -320,40 +252,3 @@ def comment_frequency(token_list: List[str], name: str) -> dict:
             "_pop_comment_count_lookback_days": ISSUE_LOOKBACK_DAYS,
             "_pop_comment_frequency": comment_frequency,
         }
-
-    @staticmethod
-    @memory.cache(ignore=["token_list"])
-    @retry(
-        wait=wait_exponential(multiplier=2, min=10, max=1200),
-        stop=stop_after_attempt(50),
-        retry=retry_if_exception_type(RuntimeError),
-        before_sleep=lambda x: logger.exception(f"Tenacity retry {x.fn.__name__}: {x.attempt_number=}, {x.idle_for=}, {x.seconds_since_start=}"),
-    )
-    def dependents_count(token_list: List[str], name: str, sleep: int = 1) -> int:
-        return 0  # TODO: dependents_count is expensive and can have many fails
-
-        ghw = GithubWrapper(token_list)
-        DEPENDENTS_REGEX = re.compile(b'.*[^0-9,]([0-9,]+).*commit results', re.DOTALL)
-        # TODO: Take package manager dependency trees into account. If we decide
-        # to replace this, then find a solution for C/C++ as well.
-        # parsed_url = urllib.parse.urlparse(self.url)
-        # repo_name = parsed_url.path.strip('/')
-        # TODO: add in gh token in url??
-        dependents_url = f'https://github.com/search?q="{name}"&type=commits'
-        logger.trace(f"Call dependents_count: {dependents_url=}, {name=}")
-        content = b''
-        time.sleep(sleep)
-
-        # result = requests.get(dependents_url)
-        result = requests.get(dependents_url, headers={"Authorization": f"TOK:{ghw.token()}"})
-        if result.status_code == 429:  # 429=Too Many Requests
-            logger.error(f"dependents_url requests, {name=},  {result.status_code=}, {result=}")
-            raise RuntimeError(f"dependents_url exception, {name=}, {result.status_code=}, {result=}")
-        if result.status_code != 200:
-            logger.error(f"dependents_url requests, {name=},  {result.status_code=}, {result=}")
-            raise Exception(f"dependents_url exception, {name=},  {result.status_code=}, {result=}")
-
-        match = DEPENDENTS_REGEX.match(content)
-        if not match:
-            return 0
-        return int(match.group(1).replace(b',', b''))
diff --git a/src/library/postprocess.py b/src/library/postprocess.py
index 75f5fe2..7f35f04 100644
--- a/src/library/postprocess.py
+++ b/src/library/postprocess.py
@@ -1,8 +1,6 @@
 import json
 import itertools
 from collections import Counter
-from datetime import datetime
-from loguru import logger
 
 
 def write_tags(github_json_filename: str, github_tags_json_filename: str, most_common: int):
diff --git a/src/library/render.py b/src/library/render.py
index b783f12..d35fe83 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -131,59 +131,56 @@ def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
     logger.info(f"Add popularity metric columns...")
     std_metrics = StandardMetrics()
     t0 = datetime.now()
-    _column_apply(df, "_topics", "_repopath", lambda x: std_metrics.get_repo_topics(token_list, x))
-    _column_apply(df, "_last_commit_date", "_repopath", lambda x: std_metrics.last_commit_date(token_list, x))
+    _column_apply(df, "_topics", "_repopath", lambda x: std_metrics.get_repo_topics(ghw, x))
+    _column_apply(df, "_last_commit_date", "_repopath", lambda x: std_metrics.last_commit_date(ghw, x))
     timing_std = datetime.now() - t0
     logger.info(f"Timing: {timing_std.total_seconds()=}")
 
     # Add popularity metric columns ------------------------------------------------
     logger.info(f"Add popularity metric columns...")
     pop_metrics = PopularityMetrics()
+    ghw = GithubWrapper(token_list)
     t0 = datetime.now()
 
     df["_pop_contributor_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.contributor_count(token_list, x)
+        lambda x: pop_metrics.contributor_count(ghw, x)
     )
 
     # TODO: optimise contributor_orgs_dict
     # Long, many interations thru repo contibutors for company info
     # Can rate limit, esp if sleep < 2sec
-    df_pop_contributor_orgs_dict = df.apply(lambda row: pop_metrics.contributor_orgs_dict(token_list, row["_repopath"]),
+    df_pop_contributor_orgs_dict = df.apply(lambda row: pop_metrics.contributor_orgs_dict(ghw, row["_repopath"]),
                                             axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_contributor_orgs_dict], axis="columns")
 
     df["_pop_commit_frequency"] = df["_repopath"].apply(
-        lambda x: pop_metrics.commit_frequency(token_list, x)
+        lambda x: pop_metrics.commit_frequency(ghw, x)
     )
 
     df["_pop_updated_issues_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.updated_issues_count(token_list, x)
+        lambda x: pop_metrics.updated_issues_count(ghw, x)
     )
 
     df["_pop_closed_issues_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.closed_issues_count(token_list, x)
+        lambda x: pop_metrics.closed_issues_count(ghw, x)
     )
 
     df["_pop_created_since_days"] = df["_repopath"].apply(
-        lambda x: pop_metrics.created_since_days(token_list, x)
+        lambda x: pop_metrics.created_since_days(ghw, x)
     )
 
     df["_pop_updated_since_days"] = df["_repopath"].apply(
-        lambda x: pop_metrics.updated_since_days(token_list, x)
+        lambda x: pop_metrics.updated_since_days(ghw, x)
     )
 
-    df_pop_recent_releases_count = df.apply(lambda row: pop_metrics.recent_releases_count_dict(token_list, row["_repopath"]),
+    df_pop_recent_releases_count = df.apply(lambda row: pop_metrics.recent_releases_count_dict(ghw, row["_repopath"]),
                                             axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_recent_releases_count], axis="columns")
 
-    df_pop_comment_frequency = df.apply(lambda row: pop_metrics.comment_frequency(token_list, row["_repopath"]),
+    df_pop_comment_frequency = df.apply(lambda row: pop_metrics.comment_frequency(ghw, row["_repopath"]),
                                         axis="columns", result_type="expand")
     df = pd.concat([df, df_pop_comment_frequency], axis="columns")
 
-    # TODO: dependents_count is expensive and can have many fails
-    df["_pop_dependents_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.dependents_count(token_list, x)
-    )
     timing_pop = datetime.now() - t0
     logger.info(f"Timing: {timing_lookup.total_seconds()=}")
     logger.info(f"Timing: {timing_std.total_seconds()=}")

From 01f1bf1e9d7960988b7684cc8c17803357b03d41 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Mon, 27 Feb 2023 16:43:02 +1100
Subject: [PATCH 15/20] Update test with correct token_list and df.columns.

---
 tests/test_render.py | 37 ++++++++++++++++++-------------------
 1 file changed, 18 insertions(+), 19 deletions(-)

diff --git a/tests/test_render.py b/tests/test_render.py
index 7aa5d48..2f95838 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -3,7 +3,9 @@
 
 
 def test_render_process():
-    token = env.get("GITHUB_ACCESS_TOKEN")
+    token_delim = env.get("GITHUB_ACCESS_TOKEN")
+    token_list = token_delim.split("|")
+
     csv_location = "tests/test_repos_source.csv"
 
     df_input = render.get_input_data(csv_location)
@@ -15,7 +17,7 @@ def test_render_process():
     # test_repos = ["https://github.com/dylanhogg/crazy-awesome-python"]
     df_input = df_input[df_input["githuburl"].isin(test_repos)]
     assert len(df_input) == len(test_repos)
-    df = render.process(df_input, token)
+    df = render.process(df_input, token_list)
 
     logger.info(f"{df.shape=}")
     logger.info(f"{df.columns=}")
@@ -24,20 +26,17 @@ def test_render_process():
         logger.info(df.iloc[i])
 
     assert len(df) == len(df_input), "Unexpected number of rows"
-    # logger.info(f"{df.columns=}")
-    assert list(df.columns) == [
-        "category", "githuburl", "featured", "links", "description",
-        "_repopath", "_reponame", "_stars", "_forks", "_watches", "_topics",
-        "_language", "_homepage", "_description", "_organization",
-        "_updated_at", "_last_commit_date", "_created_at", "_age_weeks",
-        "_stars_per_week", "_pop_contributor_count",
-        "_pop_contributor_orgs_len", "_pop_contributor_orgs_max",
-        "_pop_contributor_orgs", "_pop_contributor_orgs_error",
-        "_pop_commit_frequency", "_pop_updated_issues_count",
-        "_pop_closed_issues_count", "_pop_created_since_days",
-        "_pop_updated_since_days", "_pop_recent_releases_count",
-        "_pop_recent_releases_estimated_tags",
-        "_pop_recent_releases_adjusted_count", "_pop_issue_count",
-        "_pop_comment_count", "_pop_comment_frequency",
-        "_pop_comment_frequency_lookback_days", "_pop_dependents_count", "_pop_score"
-    ]
+    # logger.warning(f"{df.columns=}")
+    assert list(df.columns) == ["category", "githuburl", "featured", "links", "description",
+                                "_repopath", "_reponame", "_stars", "_forks", "_watches", "_language",
+                                "_homepage", "_description", "_organization", "_updated_at",
+                                "_created_at", "_age_weeks", "_stars_per_week", "_topics",
+                                "_last_commit_date", "_pop_contributor_count",
+                                "_pop_contributor_orgs_len", "_pop_commit_frequency",
+                                "_pop_updated_issues_count", "_pop_closed_issues_count",
+                                "_pop_created_since_days", "_pop_updated_since_days",
+                                "_pop_recent_releases_count", "_pop_recent_releases_estimated_tags",
+                                "_pop_recent_releases_adjusted_count", "_pop_issue_count",
+                                "_pop_comment_count", "_pop_comment_count_lookback_days",
+                                "_pop_comment_frequency", "_pop_score"
+                                ]

From 8bd559838de75145bf72b66bff133b6ee4cc1974 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Mon, 27 Feb 2023 16:45:04 +1100
Subject: [PATCH 16/20] Black update.

---
 src/library/metrics.py | 41 +++++++++++++++++----------
 src/library/render.py  | 63 +++++++++++++++++++-----------------------
 src/library/scorer.py  | 54 +++++++++++++++++++-----------------
 tests/test_render.py   | 50 ++++++++++++++++++++++++---------
 4 files changed, 119 insertions(+), 89 deletions(-)

diff --git a/src/library/metrics.py b/src/library/metrics.py
index cdc8ae0..09d76c6 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -11,7 +11,9 @@
 
 
 def log_retry(state):
-    msg = f"Tenacity retry {state.fn.__name__}: {state.attempt_number=}, {state.idle_for=}, {state.seconds_since_start=}"
+    msg = (
+        f"Tenacity retry {state.fn.__name__}: {state.attempt_number=}, {state.idle_for=}, {state.seconds_since_start=}"
+    )
     if state.attempt_number < 1:
         logger.info(msg)
     else:
@@ -75,8 +77,15 @@ def contributor_orgs_dict(ghw: GithubWrapper, name: str, sleep: int = 1, max_con
         repo = ghw.get_repo(name)  # TODO: randomise token_list in ghw??
 
         def _filter_name(org_name):
-            return org_name.lower().replace(' ', '').replace(',inc.', '').replace('inc.', '') \
-                .replace('llc', '').replace('@', '').rstrip(',')
+            return (
+                org_name.lower()
+                .replace(" ", "")
+                .replace(",inc.", "")
+                .replace("inc.", "")
+                .replace("llc", "")
+                .replace("@", "")
+                .rstrip(",")
+            )
 
         contributor_logins = set()
         orgs = set()
@@ -91,8 +100,10 @@ def _filter_name(org_name):
                 time.sleep(sleep)
                 if contributor_company:
                     filtered_contributor_company = _filter_name(contributor_company)
-                    logger.info(f"{i}. Company hit : {name=}, {contributor.login=}, "
-                                f"{contributor_company=}, {filtered_contributor_company=}")
+                    logger.info(
+                        f"{i}. Company hit : {name=}, {contributor.login=}, "
+                        f"{contributor_company=}, {filtered_contributor_company=}"
+                    )
                     orgs_raw.add(contributor_company)
                     orgs.add(filtered_contributor_company)
                     contributor_logins.add(f"{contributor.login}@{filtered_contributor_company}")
@@ -144,7 +155,7 @@ def updated_issues_count(ghw: GithubWrapper, name: str) -> int:
         repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
-        return repo.get_issues(state='all', since=issues_since_time).totalCount
+        return repo.get_issues(state="all", since=issues_since_time).totalCount
 
     @staticmethod
     @memory.cache(ignore=["ghw"])
@@ -155,7 +166,7 @@ def closed_issues_count(ghw: GithubWrapper, name: str) -> int:
         repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
-        return repo.get_issues(state='closed', since=issues_since_time).totalCount
+        return repo.get_issues(state="closed", since=issues_since_time).totalCount
 
     @staticmethod
     @memory.cache(ignore=["ghw"])
@@ -170,8 +181,10 @@ def created_since_days(ghw: GithubWrapper, name: str) -> int:
         # commit date.
         prior_creation_commit_count = repo.get_commits(until=creation_time).totalCount
         if prior_creation_commit_count:
-            logger.warning(f"{name} has {prior_creation_commit_count=}, repository creation time is not correct, "
-                           f"and it was residing somewhere else before")
+            logger.warning(
+                f"{name} has {prior_creation_commit_count=}, repository creation time is not correct, "
+                f"and it was residing somewhere else before"
+            )
             # TODO: see how often this happens
             # first_commit_time = self.get_first_commit_time()
             # if first_commit_time:
@@ -198,8 +211,7 @@ def recent_releases_count_dict(ghw: GithubWrapper, name: str) -> dict:
         repo = ghw.get_repo(name)
         recent_releases_count = 0
         for release in repo.get_releases():
-            if (datetime.utcnow() -
-                    release.created_at).days > RELEASE_LOOKBACK_DAYS:
+            if (datetime.utcnow() - release.created_at).days > RELEASE_LOOKBACK_DAYS:
                 continue
             recent_releases_count += 1
 
@@ -210,8 +222,7 @@ def recent_releases_count_dict(ghw: GithubWrapper, name: str) -> dict:
         days_since_creation = PopularityMetrics.created_since_days(ghw, name) * 30
         if days_since_creation:
             total_tags = repo.get_tags().totalCount
-            estimated_tags = round(
-                (total_tags / days_since_creation) * RELEASE_LOOKBACK_DAYS)
+            estimated_tags = round((total_tags / days_since_creation) * RELEASE_LOOKBACK_DAYS)
 
         recent_releases_adjusted_count = recent_releases_count
         if not recent_releases_count:
@@ -220,7 +231,7 @@ def recent_releases_count_dict(ghw: GithubWrapper, name: str) -> dict:
         return {
             "_pop_recent_releases_count": recent_releases_count,
             "_pop_recent_releases_estimated_tags": estimated_tags,
-            "_pop_recent_releases_adjusted_count": recent_releases_adjusted_count  # TODO: review need and name
+            "_pop_recent_releases_adjusted_count": recent_releases_adjusted_count,  # TODO: review need and name
         }
 
     @staticmethod
@@ -231,7 +242,7 @@ def comment_frequency(ghw: GithubWrapper, name: str) -> dict:
         repo = ghw.get_repo(name)
         issues_since_time = datetime.utcnow() - timedelta(days=ISSUE_LOOKBACK_DAYS)
         # NOTE: get_issues includes PR's
-        issue_count = repo.get_issues(state='all', since=issues_since_time).totalCount
+        issue_count = repo.get_issues(state="all", since=issues_since_time).totalCount
 
         try:
             comment_count = repo.get_issues_comments(since=issues_since_time).totalCount
diff --git a/src/library/render.py b/src/library/render.py
index d35fe83..880ba5a 100644
--- a/src/library/render.py
+++ b/src/library/render.py
@@ -116,14 +116,17 @@ def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
     _column_apply(df, "_organization", "_repopath", lambda x: x.split("/")[0])
     _column_apply(df, "_updated_at", "_repopath", lambda x: ghw.get_repo(x).updated_at.date())
     _column_apply(df, "_created_at", "_repopath", lambda x: ghw.get_repo(x).created_at.date())
-    _column_apply(df, "_age_weeks", "_repopath",
-                  lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
-                  )
-    _column_apply(df, "_stars_per_week", "_repopath",
-                  lambda x: ghw.get_repo(x).stargazers_count
-                  * 7
-                  / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days
-                  )
+    _column_apply(
+        df, "_age_weeks", "_repopath", lambda x: (datetime.now().date() - ghw.get_repo(x).created_at.date()).days // 7
+    )
+    _column_apply(
+        df,
+        "_stars_per_week",
+        "_repopath",
+        lambda x: ghw.get_repo(x).stargazers_count
+        * 7
+        / (datetime.now().date() - ghw.get_repo(x).created_at.date()).days,
+    )
     timing_lookup = datetime.now() - t0
     logger.info(f"Timing: {timing_lookup.total_seconds()=}")
 
@@ -142,43 +145,34 @@ def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
     ghw = GithubWrapper(token_list)
     t0 = datetime.now()
 
-    df["_pop_contributor_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.contributor_count(ghw, x)
-    )
+    df["_pop_contributor_count"] = df["_repopath"].apply(lambda x: pop_metrics.contributor_count(ghw, x))
 
     # TODO: optimise contributor_orgs_dict
     # Long, many interations thru repo contibutors for company info
     # Can rate limit, esp if sleep < 2sec
-    df_pop_contributor_orgs_dict = df.apply(lambda row: pop_metrics.contributor_orgs_dict(ghw, row["_repopath"]),
-                                            axis="columns", result_type="expand")
+    df_pop_contributor_orgs_dict = df.apply(
+        lambda row: pop_metrics.contributor_orgs_dict(ghw, row["_repopath"]), axis="columns", result_type="expand"
+    )
     df = pd.concat([df, df_pop_contributor_orgs_dict], axis="columns")
 
-    df["_pop_commit_frequency"] = df["_repopath"].apply(
-        lambda x: pop_metrics.commit_frequency(ghw, x)
-    )
+    df["_pop_commit_frequency"] = df["_repopath"].apply(lambda x: pop_metrics.commit_frequency(ghw, x))
 
-    df["_pop_updated_issues_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.updated_issues_count(ghw, x)
-    )
+    df["_pop_updated_issues_count"] = df["_repopath"].apply(lambda x: pop_metrics.updated_issues_count(ghw, x))
 
-    df["_pop_closed_issues_count"] = df["_repopath"].apply(
-        lambda x: pop_metrics.closed_issues_count(ghw, x)
-    )
+    df["_pop_closed_issues_count"] = df["_repopath"].apply(lambda x: pop_metrics.closed_issues_count(ghw, x))
 
-    df["_pop_created_since_days"] = df["_repopath"].apply(
-        lambda x: pop_metrics.created_since_days(ghw, x)
-    )
+    df["_pop_created_since_days"] = df["_repopath"].apply(lambda x: pop_metrics.created_since_days(ghw, x))
 
-    df["_pop_updated_since_days"] = df["_repopath"].apply(
-        lambda x: pop_metrics.updated_since_days(ghw, x)
-    )
+    df["_pop_updated_since_days"] = df["_repopath"].apply(lambda x: pop_metrics.updated_since_days(ghw, x))
 
-    df_pop_recent_releases_count = df.apply(lambda row: pop_metrics.recent_releases_count_dict(ghw, row["_repopath"]),
-                                            axis="columns", result_type="expand")
+    df_pop_recent_releases_count = df.apply(
+        lambda row: pop_metrics.recent_releases_count_dict(ghw, row["_repopath"]), axis="columns", result_type="expand"
+    )
     df = pd.concat([df, df_pop_recent_releases_count], axis="columns")
 
-    df_pop_comment_frequency = df.apply(lambda row: pop_metrics.comment_frequency(ghw, row["_repopath"]),
-                                        axis="columns", result_type="expand")
+    df_pop_comment_frequency = df.apply(
+        lambda row: pop_metrics.comment_frequency(ghw, row["_repopath"]), axis="columns", result_type="expand"
+    )
     df = pd.concat([df, df_pop_comment_frequency], axis="columns")
 
     timing_pop = datetime.now() - t0
@@ -190,6 +184,7 @@ def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
     logger.info(f"Write temp process results to csv...")
     df.to_csv("_temp_df_process.csv")
     import json
+
     with open("_temp_df_process.json", "w") as f:
         json_results = df.to_json(orient="table", double_precision=2)
         data = json.loads(json_results)
@@ -197,9 +192,7 @@ def process(df_input: pd.DataFrame, token_list: List[str]) -> pd.DataFrame:
     # /TEMP:
 
     scorer = PopularityScorer()
-    df["_pop_score"] = df.apply(
-        lambda row: scorer.score(row), axis="columns"
-    )
+    df["_pop_score"] = df.apply(lambda row: scorer.score(row), axis="columns")
 
     return df.sort_values("_pop_score", ascending=False)
 
diff --git a/src/library/scorer.py b/src/library/scorer.py
index 41efde0..316afc3 100644
--- a/src/library/scorer.py
+++ b/src/library/scorer.py
@@ -39,33 +39,35 @@ def _get_param_score(param, max_value, weight=1.0):
             parameter weight."""
             return (math.log(1 + param) / math.log(1 + max(param, max_value))) * weight
 
-        total_weight = (CREATED_SINCE_WEIGHT + UPDATED_SINCE_WEIGHT +
-                        CONTRIBUTOR_COUNT_WEIGHT + ORG_COUNT_WEIGHT +
-                        COMMIT_FREQUENCY_WEIGHT + RECENT_RELEASES_WEIGHT +
-                        CLOSED_ISSUES_WEIGHT + UPDATED_ISSUES_WEIGHT +
-                        COMMENT_FREQUENCY_WEIGHT + STARS_PER_WEEK_WEIGHT)
+        total_weight = (
+            CREATED_SINCE_WEIGHT
+            + UPDATED_SINCE_WEIGHT
+            + CONTRIBUTOR_COUNT_WEIGHT
+            + ORG_COUNT_WEIGHT
+            + COMMIT_FREQUENCY_WEIGHT
+            + RECENT_RELEASES_WEIGHT
+            + CLOSED_ISSUES_WEIGHT
+            + UPDATED_ISSUES_WEIGHT
+            + COMMENT_FREQUENCY_WEIGHT
+            + STARS_PER_WEEK_WEIGHT
+        )
 
-        score_sum = ((_get_param_score(row['_pop_created_since_days'],
-                                       CREATED_SINCE_THRESHOLD, CREATED_SINCE_WEIGHT)) +
-                     (_get_param_score(row['_pop_updated_since_days'],
-                                       UPDATED_SINCE_THRESHOLD, UPDATED_SINCE_WEIGHT)) +
-                     (_get_param_score(row['_pop_contributor_count'],
-                                       CONTRIBUTOR_COUNT_THRESHOLD, CONTRIBUTOR_COUNT_WEIGHT)) +
-                     (_get_param_score(row['_pop_contributor_orgs_len'],
-                                       ORG_COUNT_THRESHOLD, ORG_COUNT_WEIGHT)) +
-                     (_get_param_score(row['_pop_commit_frequency'],
-                                       COMMIT_FREQUENCY_THRESHOLD, COMMIT_FREQUENCY_WEIGHT)) +
-                     (_get_param_score(row['_pop_recent_releases_adjusted_count'],
-                                       RECENT_RELEASES_THRESHOLD, RECENT_RELEASES_WEIGHT)) +
-                     (_get_param_score(row['_pop_closed_issues_count'],
-                                       CLOSED_ISSUES_THRESHOLD, CLOSED_ISSUES_WEIGHT)) +
-                     (_get_param_score(row['_pop_updated_issues_count'],
-                                       UPDATED_ISSUES_THRESHOLD, UPDATED_ISSUES_WEIGHT)) +
-                     (_get_param_score(row['_pop_comment_frequency'],
-                                       COMMENT_FREQUENCY_THRESHOLD, COMMENT_FREQUENCY_WEIGHT)) +
-                     (_get_param_score(row['_stars_per_week'],
-                                       STARS_PER_WEEK_THRESHOLD, STARS_PER_WEEK_WEIGHT))
-                     )
+        score_sum = (
+            (_get_param_score(row["_pop_created_since_days"], CREATED_SINCE_THRESHOLD, CREATED_SINCE_WEIGHT))
+            + (_get_param_score(row["_pop_updated_since_days"], UPDATED_SINCE_THRESHOLD, UPDATED_SINCE_WEIGHT))
+            + (_get_param_score(row["_pop_contributor_count"], CONTRIBUTOR_COUNT_THRESHOLD, CONTRIBUTOR_COUNT_WEIGHT))
+            + (_get_param_score(row["_pop_contributor_orgs_len"], ORG_COUNT_THRESHOLD, ORG_COUNT_WEIGHT))
+            + (_get_param_score(row["_pop_commit_frequency"], COMMIT_FREQUENCY_THRESHOLD, COMMIT_FREQUENCY_WEIGHT))
+            + (
+                _get_param_score(
+                    row["_pop_recent_releases_adjusted_count"], RECENT_RELEASES_THRESHOLD, RECENT_RELEASES_WEIGHT
+                )
+            )
+            + (_get_param_score(row["_pop_closed_issues_count"], CLOSED_ISSUES_THRESHOLD, CLOSED_ISSUES_WEIGHT))
+            + (_get_param_score(row["_pop_updated_issues_count"], UPDATED_ISSUES_THRESHOLD, UPDATED_ISSUES_WEIGHT))
+            + (_get_param_score(row["_pop_comment_frequency"], COMMENT_FREQUENCY_THRESHOLD, COMMENT_FREQUENCY_WEIGHT))
+            + (_get_param_score(row["_stars_per_week"], STARS_PER_WEEK_THRESHOLD, STARS_PER_WEEK_WEIGHT))
+        )
 
         criticality_score = round(100 * score_sum / total_weight, 5)
         logger.trace(f"Calculated {criticality_score=} for {row['_repopath']}")
diff --git a/tests/test_render.py b/tests/test_render.py
index 2f95838..6de361c 100644
--- a/tests/test_render.py
+++ b/tests/test_render.py
@@ -27,16 +27,40 @@ def test_render_process():
 
     assert len(df) == len(df_input), "Unexpected number of rows"
     # logger.warning(f"{df.columns=}")
-    assert list(df.columns) == ["category", "githuburl", "featured", "links", "description",
-                                "_repopath", "_reponame", "_stars", "_forks", "_watches", "_language",
-                                "_homepage", "_description", "_organization", "_updated_at",
-                                "_created_at", "_age_weeks", "_stars_per_week", "_topics",
-                                "_last_commit_date", "_pop_contributor_count",
-                                "_pop_contributor_orgs_len", "_pop_commit_frequency",
-                                "_pop_updated_issues_count", "_pop_closed_issues_count",
-                                "_pop_created_since_days", "_pop_updated_since_days",
-                                "_pop_recent_releases_count", "_pop_recent_releases_estimated_tags",
-                                "_pop_recent_releases_adjusted_count", "_pop_issue_count",
-                                "_pop_comment_count", "_pop_comment_count_lookback_days",
-                                "_pop_comment_frequency", "_pop_score"
-                                ]
+    assert list(df.columns) == [
+        "category",
+        "githuburl",
+        "featured",
+        "links",
+        "description",
+        "_repopath",
+        "_reponame",
+        "_stars",
+        "_forks",
+        "_watches",
+        "_language",
+        "_homepage",
+        "_description",
+        "_organization",
+        "_updated_at",
+        "_created_at",
+        "_age_weeks",
+        "_stars_per_week",
+        "_topics",
+        "_last_commit_date",
+        "_pop_contributor_count",
+        "_pop_contributor_orgs_len",
+        "_pop_commit_frequency",
+        "_pop_updated_issues_count",
+        "_pop_closed_issues_count",
+        "_pop_created_since_days",
+        "_pop_updated_since_days",
+        "_pop_recent_releases_count",
+        "_pop_recent_releases_estimated_tags",
+        "_pop_recent_releases_adjusted_count",
+        "_pop_issue_count",
+        "_pop_comment_count",
+        "_pop_comment_count_lookback_days",
+        "_pop_comment_frequency",
+        "_pop_score",
+    ]

From c049ace55b3bbec7a312fab0155b698e579033ae Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 5 Mar 2023 15:16:38 +1100
Subject: [PATCH 17/20] Popularity score updates and UI min json.

---
 client/Makefile         |  4 ++--
 client/app/app.html     |  4 ++--
 client/app/app.js       | 35 +++++++++++++++++++++++------------
 github_data.ui.min.json |  1 +
 src/library/crawler.py  | 19 ++++++++++++++++---
 5 files changed, 44 insertions(+), 19 deletions(-)
 create mode 100644 github_data.ui.min.json

diff --git a/client/Makefile b/client/Makefile
index 0aede23..8ea4cf4 100644
--- a/client/Makefile
+++ b/client/Makefile
@@ -14,8 +14,7 @@ serve-local-app:
 
 ## Copy processed data to local client for testing
 copy-data-local-app: remove-data-local-app
-	cp ../github_data.json app/
-	cp ../github_data.min.json app/
+	cp ../github_data.ui.min.json app/
 	cp ../github_tags_data.json app/
 	cp -r ../data app/data
 
@@ -23,6 +22,7 @@ copy-data-local-app: remove-data-local-app
 remove-data-local-app:
 	rm app/github_data.json || true
 	rm app/github_data.min.json || true
+	rm app/github_data.ui.min.json || true
 	rm -rf app/data
 
 ## Browse local js client
diff --git a/client/app/app.html b/client/app/app.html
index 1f4f5c3..63c358b 100644
--- a/client/app/app.html
+++ b/client/app/app.html
@@ -12,7 +12,7 @@
 
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/bootstrap/5.1.3/css/bootstrap.min.css"/>
     <link rel="stylesheet" type="text/css" href="https://cdn.datatables.net/v/bs5/jq-3.6.0/dt-1.12.1/r-2.3.0/datatables.min.css"/>
-    <link rel="stylesheet" type="text/css" href="app.css?v=0.0.0.20" />
+    <link rel="stylesheet" type="text/css" href="app.css?v=0.0.0.22" />
     <link rel="stylesheet" type="text/css" href="https://cdnjs.cloudflare.com/ajax/libs/jquery-modal/0.9.2/jquery.modal.min.css" />
     <!-- font-awesome for hamburger menu bars -->
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
@@ -31,7 +31,7 @@
     <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
     <script type="text/javascript" src="https://cdn.datatables.net/v/bs5/jq-3.6.0/dt-1.12.1/r-2.3.0/datatables.min.js"></script>
     <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery-modal/0.9.2/jquery.modal.min.js"></script>
-    <script type="text/javascript" src="app.js?v=0.0.0.21"></script>
+    <script type="text/javascript" src="app.js?v=0.0.0.22"></script>
     <script async src="https://www.googletagmanager.com/gtag/js?id=G-VP3W2NGZN5"></script>
 
     <script>
diff --git a/client/app/app.js b/client/app/app.js
index d4c034a..46c812a 100644
--- a/client/app/app.js
+++ b/client/app/app.js
@@ -106,7 +106,7 @@ $(document).on("preInit.dt", function (e, settings) {
     }
 });
 
-// Tag filter dropdown
+// Tag filter dropdown (WIP)
 //$(document).on("preInit.dt", function (e, settings) {
 //    var select = $('<select name="tag_filter" id="tag_filter" class="form-select-sm form-select-sm tag_filter">' +
 //                   '<option value="">All Tags</option></select>');
@@ -138,12 +138,7 @@ $(document).on("preInit.dt", function (e, settings) {
 //});
 
 $(document).ready( function () {
-    var ajax_url = './github_data.min.json?v1.0';
-    // var ajax_url = 'https://crazy-awesome-python-api.infocruncher.com/github_data.min.json';
-    if (location.hostname === "localhost" || location.hostname === "127.0.0.1") {
-        // Use local testing json data
-        ajax_url = '/github_data.json?v1.0';
-    }
+    var ajax_url = './github_data.ui.min.json?v1.0';
 
     $("#menu-icon").click(function(){
         // https://www.w3schools.com/howto/howto_js_sidenav.asp
@@ -188,17 +183,34 @@ $(document).ready( function () {
                 return repoUrl;
              }
            },
+           { data: "_pop_score", title: "Score", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+
            { data: "_stars", title: "Stars&nbsp;<img src='img/star.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
            { data: "_stars_per_week", title: "Stars<br />per&nbsp;week",
             render: function(data, type, row, meta) { return data > 10 ? data.toFixed(0) : data.toFixed(1); }
            },
+
+//           { data: "_pop_contributor_count", title: "contributors", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_commit_frequency", title: "commits<br />frequency", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_issue_count", title: "issues", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_comment_count", title: "comments", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_contributor_orgs_len", title: "contributor_orgs", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_updated_issues_count", title: "updated_issues_count", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_closed_issues_count", title: "closed_issues_count", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_created_since_days", title: "created_since_days", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_updated_since_days", title: "updated_since_days", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_recent_releases_count", title: "recent_releases_count", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_recent_releases_estimated_tags", title: "recent_releases_estimated_tags", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_recent_releases_adjusted_count", title: "recent_releases_adjusted_count", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_comment_count_lookback_days", title: "comment_count_lookback_days", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_pop_comment_frequency", title: "comment_frequency", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+
            { data: "_description", title: "Description",
              render: function(data, type, row, meta) {
-//                return "<div class='text-wrap description-column'>" + data + "</div>";
                 if(data.length > description_maxlen) {
                     return "<div class='text-wrap description-column'>" + data.substr(0, description_maxlen) + "...</div>";
                 } else {
-                    return data;
+                    return "<div class='text-wrap description-column'>" + data + "</div>";
                 }
              }
            },
@@ -212,7 +224,7 @@ $(document).ready( function () {
                 return repoUrl + orgUrl + homepageUrl;
              }
            },
-           { data: "_forks", title: "Forks&nbsp;<img src='img/fork.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+           // { data: "_forks", title: "Forks&nbsp;<img src='img/fork.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
            { data: "_age_weeks", title: "Age in&nbsp;weeks",
             render: function(data, type, row, meta) { return data.toFixed(0); }
            },
@@ -239,7 +251,7 @@ $(document).ready( function () {
                 }
             }
            },
-          //          { data: "_requirements_localurls", title: "Requirements",
+//          { data: "_requirements_localurls", title: "Requirements",
 //            render: function(data, type, row, meta) {
 //                if (data.length > 0) {
 //                    var links = "";
@@ -260,7 +272,6 @@ $(document).ready( function () {
 //                } else {
 //                    return "";
 //                }
-//
 //            }
 //          },
         ],
diff --git a/github_data.ui.min.json b/github_data.ui.min.json
new file mode 100644
index 0000000..94b2dd2
--- /dev/null
+++ b/github_data.ui.min.json
@@ -0,0 +1 @@
+{"schema":{"fields":[{"name":"githuburl","type":"string"},{"name":"_reponame","type":"string"},{"name":"_organization","type":"string"},{"name":"_homepage","type":"string"},{"name":"_pop_score","type":"number"},{"name":"_stars","type":"integer"},{"name":"_stars_per_week","type":"number"},{"name":"_description","type":"string"},{"name":"_age_weeks","type":"integer"},{"name":"category","type":"string"},{"name":"_topics","type":"string"},{"name":"_readme_localurl","type":"string"}],"pandas_version":"0.20.0"},"data":[{"githuburl":"https://github.com/tensorflow/tensorflow","_reponame":"tensorflow","_organization":"tensorflow","_homepage":"https://tensorflow.org","_pop_score":96.35,"_stars":171770,"_stars_per_week":449.66,"_description":"tensorflow: An Open Source Machine Learning Framework for Everyone","_age_weeks":382,"category":"ml-dl","_topics":["tensorflow","machine-learning","python","deep-learning","deep-neural-networks","neural-network","ml","distributed"],"_readme_localurl":"tensorflow~tensorflow~README.md"},{"githuburl":"https://github.com/huggingface/transformers","_reponame":"transformers","_organization":"huggingface","_homepage":"https://huggingface.co/transformers","_pop_score":92.47,"_stars":83475,"_stars_per_week":368.19,"_description":"\ud83e\udd17 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.","_age_weeks":226,"category":"nlp","_topics":["nlp","natural-language-processing","pytorch","language-model","tensorflow","bert","language-models","pytorch-transformers","nlp-library","transformer","model-hub","pretrained-models","jax","flax","seq2seq","speech-recognition","hacktoberfest","python","machine-learning","deep-learning"],"_readme_localurl":"huggingface~transformers~README.md"},{"githuburl":"https://github.com/pytorch/pytorch","_reponame":"pytorch","_organization":"pytorch","_homepage":"https://pytorch.org","_pop_score":90.28,"_stars":63350,"_stars_per_week":185.23,"_description":"pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration","_age_weeks":342,"category":"ml-dl","_topics":["neural-network","autograd","gpu","numpy","deep-learning","tensor","python","machine-learning"],"_readme_localurl":"pytorch~pytorch~README.md"},{"githuburl":"https://github.com/python/cpython","_reponame":"cpython","_organization":"python","_homepage":"https://www.python.org/","_pop_score":88.56,"_stars":50982,"_stars_per_week":161.26,"_description":"cpython: The Python programming language","_age_weeks":316,"category":"util","_topics":[],"_readme_localurl":"python~cpython~README.rst"},{"githuburl":"https://github.com/invoke-ai/invokeai","_reponame":"InvokeAI","_organization":"invoke-ai","_homepage":"https://invoke-ai.github.io/InvokeAI/","_pop_score":86.94,"_stars":11435,"_stars_per_week":402.24,"_description":"InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. 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2019)","_age_weeks":201,"category":"sim","_topics":["trajectory-prediction","human-trajectory-prediction","gan","social-navigation","social-ways","pedestrian-trajectories","pedestrian","social-gan","social-robots","generative-adversarial-network","trajectory-forecasting","self-driving-car","prediction-model","info-gan","crowd-simulation"],"_readme_localurl":"crowdbotp~socialways~README.md"},{"githuburl":"https://github.com/artelys/geonetworkx","_reponame":"geonetworkx","_organization":"artelys","_homepage":null,"_pop_score":8.93,"_stars":29,"_stars_per_week":0.17,"_description":"geonetworkx: Python tools for geographic graphs","_age_weeks":175,"category":"gis","_topics":[],"_readme_localurl":"artelys~geonetworkx~README.md"},{"githuburl":"https://github.com/ferdinandzhong/punctuator","_reponame":"punctuator","_organization":"ferdinandzhong","_homepage":"","_pop_score":8.82,"_stars":36,"_stars_per_week":0.3,"_description":"punctuator: A small seq2seq punctuator tool based on 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world","_age_weeks":150,"category":"sim","_topics":[],"_readme_localurl":"gboeing~street-network-models~README.md"},{"githuburl":"https://github.com/zorzi-s/projectregularization","_reponame":"projectRegularization","_organization":"zorzi-s","_homepage":null,"_pop_score":6.68,"_stars":82,"_stars_per_week":0.88,"_description":"projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses","_age_weeks":93,"category":"gis","_topics":[],"_readme_localurl":"zorzi-s~projectregularization~README.md"},{"githuburl":"https://github.com/guyallard/markov_clustering","_reponame":"markov_clustering","_organization":"guyallard","_homepage":null,"_pop_score":5.53,"_stars":134,"_stars_per_week":0.47,"_description":"markov_clustering: markov clustering in 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articles","_age_weeks":186,"category":"data","_topics":[],"_readme_localurl":"harangju~wikinet~README.md"},{"githuburl":"https://github.com/scisco/area","_reponame":"area","_organization":"scisco","_homepage":null,"_pop_score":4.13,"_stars":87,"_stars_per_week":0.23,"_description":"area: Calculate the area inside of any GeoJSON geometry. 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\ No newline at end of file
diff --git a/src/library/crawler.py b/src/library/crawler.py
index 985fc64..7bfe909 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -62,24 +62,37 @@ def write_files(csv_location: str, token_list: List[str], output_csv_filename: s
         axis=1,
     )
 
-    # Write raw results to json table format
+    # Write raw results to json table format (i.e. github_data.json)
     with open(output_json_filename, "w") as f:
         json_results = df.to_json(orient="table", double_precision=2)
         data = json.loads(json_results)
         json.dump(data, f, indent=4)
 
-    # Write raw results to minimised json
+    # Write raw results to minimised json (i.e. github_data.min.json)
     output_minjson_filename = (
         output_json_filename.replace(".json", ".min.json")
         if ".json" in output_json_filename
         else output_json_filename + ".min.json"
     )
-
     with open(output_minjson_filename, "w") as f:
         json_results = df.to_json(orient="table", double_precision=2)
         data = json.loads(json_results)
         json.dump(data, f, separators=(",", ":"))
 
+    # Write UI results to minimised json (i.e. github_data.ui.min.json)
+    output_ui_minjson_filename = (
+        output_json_filename.replace(".json", ".ui.min.json")
+        if ".json" in output_json_filename
+        else output_json_filename + ".ui.min.json"
+    )
+    with open(output_ui_minjson_filename, "w") as f:
+        # NOTE: this cols list must be synced with app.js DataTable columns for display
+        cols = ["githuburl", "_reponame", "_organization", "_homepage", "_pop_score", "_stars", "_stars_per_week",
+                "_description", "_age_weeks", "category", "_topics", "_readme_localurl"]
+        json_results = df[cols].to_json(orient="table", double_precision=2, index=False)
+        data = json.loads(json_results)
+        json.dump(data, f, separators=(",", ":"))
+
     # Add markdown columns for local README.md and categories/*.md file lists.
     logger.info(f"Add markdown columns...")
     df = render.add_markdown(df)

From e87ff8e98ffdf1a673eed6af6e8ccc9517cadf6e Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 5 Mar 2023 20:01:24 +1100
Subject: [PATCH 18/20] Black formatting.

---
 src/library/crawler.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/src/library/crawler.py b/src/library/crawler.py
index 7bfe909..888f2b4 100644
--- a/src/library/crawler.py
+++ b/src/library/crawler.py
@@ -87,8 +87,20 @@ def write_files(csv_location: str, token_list: List[str], output_csv_filename: s
     )
     with open(output_ui_minjson_filename, "w") as f:
         # NOTE: this cols list must be synced with app.js DataTable columns for display
-        cols = ["githuburl", "_reponame", "_organization", "_homepage", "_pop_score", "_stars", "_stars_per_week",
-                "_description", "_age_weeks", "category", "_topics", "_readme_localurl"]
+        cols = [
+            "githuburl",
+            "_reponame",
+            "_organization",
+            "_homepage",
+            "_pop_score",
+            "_stars",
+            "_stars_per_week",
+            "_description",
+            "_age_weeks",
+            "category",
+            "_topics",
+            "_readme_localurl",
+        ]
         json_results = df[cols].to_json(orient="table", double_precision=2, index=False)
         data = json.loads(json_results)
         json.dump(data, f, separators=(",", ":"))

From 1f4fa8b6752f7f3b562940454aca8af146b537c1 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 5 Mar 2023 20:29:34 +1100
Subject: [PATCH 19/20] Score column finalised.

---
 Makefile               |  8 ++++++++
 client/.gitignore      |  1 +
 client/app/app.js      |  9 +++++----
 requirements.txt       |  3 ++-
 src/app.py             | 10 +++++-----
 src/library/metrics.py |  2 +-
 6 files changed, 22 insertions(+), 11 deletions(-)

diff --git a/Makefile b/Makefile
index 0aece53..3c88837 100644
--- a/Makefile
+++ b/Makefile
@@ -29,6 +29,10 @@ test:
 clear-cache:
 	rm -rf .joblib_cache
 
+## View API rate limits
+api-rates:
+	curl -I https://api.github.com/users/dylanhogg
+
 ## Serve local client
 serve-local-client:
 	open http://localhost:8002/
@@ -42,6 +46,10 @@ s3-deploy-app:
 s3-deploy-files:
 	cd server; make s3-deploy-files; make cf-invalidation
 
+## Run jupyter lab
+jupyter:
+	source venv/bin/activate; PYTHONPATH='./src' jupyter lab
+
 .DEFAULT_GOAL := help
 .PHONY: help
 help:
diff --git a/client/.gitignore b/client/.gitignore
index dc7ab26..5bd25af 100644
--- a/client/.gitignore
+++ b/client/.gitignore
@@ -1,4 +1,5 @@
 data/
 github_data.json
 github_data.min.json
+github_data.ui.min.json
 github_tags_data.json
diff --git a/client/app/app.js b/client/app/app.js
index 46c812a..6c33784 100644
--- a/client/app/app.js
+++ b/client/app/app.js
@@ -1,4 +1,4 @@
-const version = "v0.0.8";
+const version = "v0.0.10";
 const CATEGORY_COL = 7;
 const TAG_COL = 8;
 
@@ -50,6 +50,7 @@ $(document).on("preInit.dt", function (e, settings) {
         'data': 'Data',
         'debug': 'Debugging',
         'diffusion': 'Diffusion Text to Image',
+        'finance': 'Finance',
         'gamedev': 'Game Development',
         'gis': 'GIS',
         'graph': 'Graph',
@@ -183,9 +184,9 @@ $(document).ready( function () {
                 return repoUrl;
              }
            },
-           { data: "_pop_score", title: "Score", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+           { data: "_pop_score", title: "Score&nbsp;🔥", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
 
-           { data: "_stars", title: "Stars&nbsp;<img src='img/star.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+           { data: "_stars", title: "Stars&nbsp;⭐", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
            { data: "_stars_per_week", title: "Stars<br />per&nbsp;week",
             render: function(data, type, row, meta) { return data > 10 ? data.toFixed(0) : data.toFixed(1); }
            },
@@ -224,7 +225,7 @@ $(document).ready( function () {
                 return repoUrl + orgUrl + homepageUrl;
              }
            },
-           // { data: "_forks", title: "Forks&nbsp;<img src='img/fork.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
+//           { data: "_forks", title: "Forks&nbsp;<img src='img/fork.png' class='github-img' />", className: "text-nowrap", render: $.fn.dataTable.render.number(',', '.', 0) },
            { data: "_age_weeks", title: "Age in&nbsp;weeks",
             render: function(data, type, row, meta) { return data.toFixed(0); }
            },
diff --git a/requirements.txt b/requirements.txt
index cf6e1f9..4ddc885 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,4 +8,5 @@ black
 loguru
 joblib
 requests
-tenacity
\ No newline at end of file
+tenacity
+jupyterlab
diff --git a/src/app.py b/src/app.py
index d4bf0e8..b60332a 100644
--- a/src/app.py
+++ b/src/app.py
@@ -17,11 +17,11 @@ def main():
     postprocess.write_tags(github_json_filename, github_tags_json_filename, most_common=200)
 
 
-def write_tags():
-    # TEMP: remove once tag filtering implemented
-    github_json_filename = "github_data.json"
-    github_tags_json_filename = "github_tags_data.json"
-    postprocess.write_tags(github_json_filename, github_tags_json_filename, most_common=200)
+# def write_tags():
+#     # TEMP: remove once tag filtering implemented
+#     github_json_filename = "github_data.json"
+#     github_tags_json_filename = "github_tags_data.json"
+#     postprocess.write_tags(github_json_filename, github_tags_json_filename, most_common=200)
 
 
 if __name__ == "__main__":
diff --git a/src/library/metrics.py b/src/library/metrics.py
index 09d76c6..bc2188b 100644
--- a/src/library/metrics.py
+++ b/src/library/metrics.py
@@ -247,7 +247,7 @@ def comment_frequency(ghw: GithubWrapper, name: str) -> dict:
         try:
             comment_count = repo.get_issues_comments(since=issues_since_time).totalCount
         except GithubException as ex:
-            logger.warning(f"get_issues_comments exception: {ex}, retry once...")
+            logger.warning(f"get_issues_comments exception: {ex}, will retry...")
             time.sleep(5)
             # Exception due to large number of comments, e.g. pytorch/pytorch repo.
             # So try reducing down ISSUE_LOOKBACK_DAYS

From 9b3a3f1ef7238f27591e88a7e8b3c6cfa76a6af1 Mon Sep 17 00:00:00 2001
From: Dylan Hogg <dylanhogg@gmail.com>
Date: Sun, 5 Mar 2023 20:34:39 +1100
Subject: [PATCH 20/20] Library updates 5 Mar 2023.

---
 README.md                         |  14418 ++--
 categories/crypto.md              |    174 +-
 categories/data.md                |   1023 +-
 categories/debug.md               |     61 +-
 categories/diffusion.md           |    221 +-
 categories/finance.md             |    345 +
 categories/gamedev.md             |     46 +-
 categories/gis.md                 |   1196 +-
 categories/graph.md               |     26 +-
 categories/gui.md                 |     34 +-
 categories/jupyter.md             |    266 +-
 categories/math.md                |     87 +-
 categories/ml-dl.md               |    841 +-
 categories/ml-interpretability.md |    100 +-
 categories/ml-ops.md              |    458 +-
 categories/ml.md                  |   1413 +-
 categories/nlp.md                 |   1052 +-
 categories/pandas.md              |    223 +-
 categories/perf.md                |    354 +-
 categories/profiling.md           |    152 +-
 categories/security.md            |     88 +-
 categories/sim.md                 |    377 +-
 categories/study.md               |    320 +-
 categories/template.md            |     78 +-
 categories/term.md                |    146 +-
 categories/testing.md             |    190 +-
 categories/time-series.md         |    237 +-
 categories/typing.md              |     90 +-
 categories/util.md                |   1881 +-
 categories/viz.md                 |    287 +-
 categories/web.md                 |    508 +-
 github_data.csv                   |   2026 +-
 github_data.json                  | 109492 +++++++++++----------------
 github_data.min.json              |      2 +-
 github_data.ui.min.json           |      2 +-
 github_tags_data.json             |     32 +-
 36 files changed, 59842 insertions(+), 78404 deletions(-)
 create mode 100644 categories/finance.md

diff --git a/README.md b/README.md
index b26311f..f18e864 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 902 curated Python libraries and frameworks ordered by stars.  
+A selection of 1041 curated Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,8489 +9,9763 @@ Checkout the interactive version that you can filter and sort:
 tensorflow: An Open Source Machine Learning Framework for Everyone  
 [https://tensorflow.org](https://tensorflow.org)  
 [https://github.com/tensorflow/tensorflow](https://github.com/tensorflow/tensorflow)  
-458 stars per week over 369 weeks  
-169,543 stars, 87,524 forks, 7,795 watches  
-[ml-dl](categories/ml-dl.md) category, created 2015-11-07, last commit 2022-12-07, main language C++  
+449 stars per week over 382 weeks  
+171,770 stars, 87,871 forks, 7,751 watches  
+[ml-dl](categories/ml-dl.md) category, created 2015-11-07, last commit 2023-03-03, main language C++  
 <sub><sup>deep-learning, deep-neural-networks, distributed, machine-learning, ml, neural-network, python, tensorflow</sup></sub>
 
 
-### [Python](https://github.com/thealgorithms/python) by [thealgorithms](https://github.com/thealgorithms)  
-Python: All Algorithms implemented in Python  
-[https://the-algorithms.com/](https://the-algorithms.com/)  
-[https://github.com/thealgorithms/python](https://github.com/thealgorithms/python)  
-448 stars per week over 333 weeks  
-149,666 stars, 38,442 forks, 5,936 watches  
-[study](categories/study.md) category, created 2016-07-16, last commit 2022-12-05, main language Python  
-<sub><sup>algorithm, algorithm-competitions, algorithms-implemented, algos, community-driven, education, hacktoberfest, interview, learn, practice, python, searches, sorting-algorithms, sorts</sup></sub>
-
-
 ### [transformers](https://github.com/huggingface/transformers) by [huggingface](https://github.com/huggingface)  
 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.  
 [https://huggingface.co/transformers](https://huggingface.co/transformers)  
 [https://github.com/huggingface/transformers](https://github.com/huggingface/transformers)  
-352 stars per week over 214 weeks  
-75,566 stars, 17,147 forks, 860 watches  
-[nlp](categories/nlp.md) category, created 2018-10-29, last commit 2022-12-07, main language Python  
+367 stars per week over 226 weeks  
+83,475 stars, 18,339 forks, 912 watches  
+[nlp](categories/nlp.md) category, created 2018-10-29, last commit 2023-03-03, main language Python  
 <sub><sup>bert, deep-learning, flax, hacktoberfest, jax, language-model, language-models, machine-learning, model-hub, natural-language-processing, nlp, nlp-library, pretrained-models, python, pytorch, pytorch-transformers, seq2seq, speech-recognition, tensorflow, transformer</sup></sub>
 
 
-### [django](https://github.com/django/django)  
-django: The Web framework for perfectionists with deadlines.  
-[https://www.djangoproject.com/](https://www.djangoproject.com/)  
-[https://github.com/django/django](https://github.com/django/django)  
-122 stars per week over 553 weeks  
-67,603 stars, 28,283 forks, 2,267 watches  
-[web](categories/web.md) category, created 2012-04-28, last commit 2022-12-07, main language Python  
-<sub><sup>apps, django, framework, models, orm, python, templates, views, web</sup></sub>
-
-
-### [flask](https://github.com/pallets/flask) by [pallets](https://github.com/pallets)  
-flask: The Python micro framework for building web applications.  
-[https://flask.palletsprojects.com](https://flask.palletsprojects.com)  
-[https://github.com/pallets/flask](https://github.com/pallets/flask)  
-92 stars per week over 661 weeks  
-61,266 stars, 15,345 forks, 2,147 watches  
-[web](categories/web.md) category, created 2010-04-06, last commit 2022-11-25, main language Python  
-<sub><sup>flask, jinja, pallets, python, web-framework, werkzeug, wsgi</sup></sub>
-
-
 ### [pytorch](https://github.com/pytorch/pytorch)  
 pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration  
 [https://pytorch.org](https://pytorch.org)  
 [https://github.com/pytorch/pytorch](https://github.com/pytorch/pytorch)  
-184 stars per week over 329 weeks  
-60,819 stars, 16,942 forks, 1,624 watches  
-[ml-dl](categories/ml-dl.md) category, created 2016-08-13, last commit 2022-12-07, main language C++  
+185 stars per week over 342 weeks  
+63,350 stars, 17,591 forks, 1,632 watches  
+[ml-dl](categories/ml-dl.md) category, created 2016-08-13, last commit 2023-03-04, main language C++  
 <sub><sup>autograd, deep-learning, gpu, machine-learning, neural-network, numpy, python, tensor</sup></sub>
 
 
-### [keras](https://github.com/keras-team/keras) by [keras-team](https://github.com/keras-team)  
-keras: Deep Learning for humans  
-[http://keras.io/](http://keras.io/)  
-[https://github.com/keras-team/keras](https://github.com/keras-team/keras)  
-141 stars per week over 401 weeks  
-56,789 stars, 19,224 forks, 1,937 watches  
-[ml-dl](categories/ml-dl.md) category, created 2015-03-28, last commit 2022-12-07, main language Python  
-<sub><sup>data-science, deep-learning, machine-learning, neural-networks, python, tensorflow</sup></sub>
+### [cpython](https://github.com/python/cpython) by [python](https://github.com/python)  
+cpython: The Python programming language  
+[https://www.python.org/](https://www.python.org/)  
+[https://github.com/python/cpython](https://github.com/python/cpython)  
+161 stars per week over 316 weeks  
+50,982 stars, 25,966 forks, 1,473 watches  
+[util](categories/util.md) category, created 2017-02-10, last commit 2023-03-04, main language Python  
+
+
+### [InvokeAI](https://github.com/invoke-ai/invokeai) by [invoke-ai](https://github.com/invoke-ai)  
+InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.  
+[https://invoke-ai.github.io/InvokeAI/](https://invoke-ai.github.io/InvokeAI/)  
+[https://github.com/invoke-ai/invokeai](https://github.com/invoke-ai/invokeai)  
+400 stars per week over 28 weeks  
+11,435 stars, 1,296 forks, 131 watches  
+[diffusion](categories/diffusion.md) category, created 2022-08-17, last commit 2023-03-04, main language Jupyter Notebook  
+<sub><sup>ai-art, artificial-intelligence, generative-art, image-generation, img2img, inpainting, latent-diffusion, linux, macos, outpainting, stable-diffusion, txt2img, windows</sup></sub>
 
 
 ### [core](https://github.com/home-assistant/core) by [home-assistant](https://github.com/home-assistant)  
 core: :house_with_garden: Open source home automation that puts local control and privacy first.  
 [https://www.home-assistant.io](https://www.home-assistant.io)  
 [https://github.com/home-assistant/core](https://github.com/home-assistant/core)  
-117 stars per week over 481 weeks  
-56,473 stars, 20,808 forks, 1,345 watches  
-[util](categories/util.md) category, created 2013-09-17, last commit 2022-12-07, main language Python  
+118 stars per week over 493 weeks  
+58,588 stars, 22,223 forks, 1,352 watches  
+[util](categories/util.md) category, created 2013-09-17, last commit 2023-03-04, main language Python  
 <sub><sup>asyncio, hacktoberfest, home-automation, internet-of-things, iot, mqtt, python, raspberry-pi</sup></sub>
 
 
-### [scikit-learn](https://github.com/scikit-learn/scikit-learn)  
-scikit-learn: machine learning in Python  
-[https://scikit-learn.org](https://scikit-learn.org)  
-[https://github.com/scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)  
-81 stars per week over 642 weeks  
-52,254 stars, 23,758 forks, 2,170 watches  
-[ml](categories/ml.md) category, created 2010-08-17, last commit 2022-12-07, main language Python  
-<sub><sup>data-analysis, data-science, machine-learning, python, statistics</sup></sub>
-
-
-### [fastapi](https://github.com/tiangolo/fastapi) by [tiangolo](https://github.com/tiangolo)  
-FastAPI framework, high performance, easy to learn, fast to code, ready for production  
-[https://fastapi.tiangolo.com/](https://fastapi.tiangolo.com/)  
-[https://github.com/tiangolo/fastapi](https://github.com/tiangolo/fastapi)  
-250 stars per week over 208 weeks  
-52,245 stars, 4,281 forks, 601 watches  
-[web](categories/web.md) category, created 2018-12-08, last commit 2022-12-03, main language Python  
-<sub><sup>api, async, asyncio, fastapi, framework, json, json-schema, openapi, openapi3, pydantic, python, python-types, python3, redoc, rest, starlette, swagger, swagger-ui, uvicorn, web</sup></sub>
+### [ruff](https://github.com/charliermarsh/ruff) by [charliermarsh](https://github.com/charliermarsh)  
+ruff: An extremely fast Python linter, written in Rust.  
+[https://beta.ruff.rs](https://beta.ruff.rs)  
+[https://github.com/charliermarsh/ruff](https://github.com/charliermarsh/ruff)  
+319 stars per week over 29 weeks  
+9,508 stars, 302 forks, 48 watches  
+[util](categories/util.md) category, created 2022-08-09, last commit 2023-03-04, main language Rust  
+<sub><sup>linter, pep8, python, python3, ruff, rust, rustpython, static-analysis, static-code-analysis, style-guide, styleguide</sup></sub>
 
 
-### [cpython](https://github.com/python/cpython) by [python](https://github.com/python)  
-cpython: The Python programming language  
-[https://www.python.org/](https://www.python.org/)  
-[https://github.com/python/cpython](https://github.com/python/cpython)  
-162 stars per week over 303 weeks  
-49,336 stars, 25,142 forks, 1,461 watches  
-[util](categories/util.md) category, created 2017-02-10, last commit 2022-12-07, main language Python  
+### [ChatGPT](https://github.com/acheong08/chatgpt) by [acheong08](https://github.com/acheong08)  
+ChatGPT: Reverse engineered ChatGPT API  
+[https://github.com/acheong08/chatgpt](https://github.com/acheong08/chatgpt)  
+1507 stars per week over 13 weeks  
+19,819 stars, 3,052 forks, 210 watches  
+[nlp](categories/nlp.md) category, created 2022-12-03, last commit 2023-03-04, main language Python  
+<sub><sup>chatgpt, cli, gptchat, library, pypi-package, revchatgpt</sup></sub>
 
 
-### [requests](https://github.com/psf/requests) by [psf](https://github.com/psf)  
-requests: A simple, yet elegant, HTTP library.  
-[https://requests.readthedocs.io/en/latest/](https://requests.readthedocs.io/en/latest/)  
-[https://github.com/psf/requests](https://github.com/psf/requests)  
-78 stars per week over 616 weeks  
-48,656 stars, 8,921 forks, 1,360 watches  
-[web](categories/web.md) category, created 2011-02-13, last commit 2022-11-21, main language Python  
-<sub><sup>client, cookies, forhumans, http, humans, python, python-requests, requests</sup></sub>
+### [Open-Assistant](https://github.com/laion-ai/open-assistant) by [laion-ai](https://github.com/laion-ai)  
+Open-Assistant: OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.  
+[https://open-assistant.io](https://open-assistant.io)  
+[https://github.com/laion-ai/open-assistant](https://github.com/laion-ai/open-assistant)  
+1514 stars per week over 11 weeks  
+17,736 stars, 1,338 forks, 270 watches  
+[nlp](categories/nlp.md) category, created 2022-12-13, last commit 2023-03-04, main language Python  
+<sub><sup>ai, assistant, chatgpt, discord-bot, language-model, machine-learning, nextjs, python, rlhf</sup></sub>
 
 
-### [scrapy](https://github.com/scrapy/scrapy)  
-Scrapy, a fast high-level web crawling & scraping framework for Python.  
-[https://scrapy.org](https://scrapy.org)  
-[https://github.com/scrapy/scrapy](https://github.com/scrapy/scrapy)  
-67 stars per week over 667 weeks  
-45,297 stars, 9,798 forks, 1,787 watches  
-[data](categories/data.md) category, created 2010-02-22, last commit 2022-12-05, main language Python  
-<sub><sup>crawler, crawling, framework, hacktoberfest, python, scraping</sup></sub>
+### [diffusers](https://github.com/huggingface/diffusers) by [huggingface](https://github.com/huggingface)  
+🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch  
+[https://huggingface.co/docs/diffusers](https://huggingface.co/docs/diffusers)  
+[https://github.com/huggingface/diffusers](https://github.com/huggingface/diffusers)  
+281 stars per week over 39 weeks  
+11,238 stars, 2,215 forks, 119 watches  
+[diffusion](categories/diffusion.md) category, created 2022-05-30, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, diffusion, hacktoberfest, image-generation, image2image, pytorch, score-based-generative-modeling, stable-diffusion, text2image</sup></sub>
 
 
-### [faceswap](https://github.com/deepfakes/faceswap) by [deepfakes](https://github.com/deepfakes)  
-faceswap: Deepfakes Software For All  
-[https://www.faceswap.dev](https://www.faceswap.dev)  
-[https://github.com/deepfakes/faceswap](https://github.com/deepfakes/faceswap)  
-165 stars per week over 259 weeks  
-42,917 stars, 12,004 forks, 1,504 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-12-19, last commit 2022-11-22, main language Python  
-<sub><sup>deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, myfakeapp, neural-nets, neural-networks, openfaceswap</sup></sub>
+### [Python](https://github.com/thealgorithms/python) by [thealgorithms](https://github.com/thealgorithms)  
+Python: All Algorithms implemented in Python  
+[https://the-algorithms.com/](https://the-algorithms.com/)  
+[https://github.com/thealgorithms/python](https://github.com/thealgorithms/python)  
+446 stars per week over 346 weeks  
+154,597 stars, 39,224 forks, 5,966 watches  
+[study](categories/study.md) category, created 2016-07-16, last commit 2023-03-02, main language Python  
+<sub><sup>algorithm, algorithm-competitions, algorithms-implemented, algos, community-driven, education, hacktoberfest, interview, learn, practice, python, searches, sorting-algorithms, sorts</sup></sub>
 
 
 ### [rich](https://github.com/willmcgugan/rich) by [willmcgugan](https://github.com/willmcgugan)  
 Rich is a Python library for rich text and beautiful formatting in the terminal.  
 [https://rich.readthedocs.io/en/latest/](https://rich.readthedocs.io/en/latest/)  
 [https://github.com/willmcgugan/rich](https://github.com/willmcgugan/rich)  
-255 stars per week over 160 weeks  
-40,996 stars, 1,434 forks, 541 watches  
-[term](categories/term.md) category, created 2019-11-10, last commit 2022-12-04, main language Python  
+244 stars per week over 173 weeks  
+42,276 stars, 1,505 forks, 544 watches  
+[term](categories/term.md) category, created 2019-11-10, last commit 2023-03-04, main language Python  
 <sub><sup>ansi-colors, emoji, markdown, progress-bar, progress-bar-python, python, python-library, python3, rich, syntax-highlighting, tables, terminal, terminal-color, traceback, tracebacks-rich, tui</sup></sub>
 
 
-### [sherlock](https://github.com/sherlock-project/sherlock) by [sherlock-project](https://github.com/sherlock-project)  
-sherlock: 🔎 Hunt down social media accounts by username across social networks  
-[http://sherlock-project.github.io](http://sherlock-project.github.io)  
-[https://github.com/sherlock-project/sherlock](https://github.com/sherlock-project/sherlock)  
-182 stars per week over 206 weeks  
-37,642 stars, 4,443 forks, 962 watches  
-[web](categories/web.md) category, created 2018-12-24, last commit 2022-10-21, main language Python  
-<sub><sup>cli, hacktoberfest, hacktoberfest2022, information-gathering, linux, macos, osint, python, python3, reconnaissance, redteam, sherlock, tools, windows</sup></sub>
+### [django](https://github.com/django/django)  
+django: The Web framework for perfectionists with deadlines.  
+[https://www.djangoproject.com/](https://www.djangoproject.com/)  
+[https://github.com/django/django](https://github.com/django/django)  
+122 stars per week over 566 weeks  
+69,086 stars, 28,735 forks, 2,266 watches  
+[web](categories/web.md) category, created 2012-04-28, last commit 2023-03-04, main language Python  
+<sub><sup>apps, django, framework, models, orm, python, templates, views, web</sup></sub>
 
 
-### [PythonDataScienceHandbook](https://github.com/jakevdp/pythondatasciencehandbook) by [jakevdp](https://github.com/jakevdp)  
-PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks  
-[http://jakevdp.github.io/PythonDataScienceHandbook](http://jakevdp.github.io/PythonDataScienceHandbook)  
-[https://github.com/jakevdp/pythondatasciencehandbook](https://github.com/jakevdp/pythondatasciencehandbook)  
-111 stars per week over 330 weeks  
-36,745 stars, 16,232 forks, 1,768 watches  
-[study](categories/study.md) category, created 2016-08-10, last commit 2018-11-30, main language Jupyter Notebook  
-<sub><sup>jupyter-notebook, matplotlib, numpy, pandas, python, scikit-learn</sup></sub>
+### [airflow](https://github.com/apache/airflow) by [apache](https://github.com/apache)  
+airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows  
+[https://airflow.apache.org/](https://airflow.apache.org/)  
+[https://github.com/apache/airflow](https://github.com/apache/airflow)  
+71 stars per week over 411 weeks  
+29,349 stars, 12,007 forks, 758 watches  
+[ml-ops](categories/ml-ops.md) category, created 2015-04-13, last commit 2023-03-03, main language Python  
+<sub><sup>airflow, apache, apache-airflow, hacktoberfest, python, scheduler, workflow</sup></sub>
 
 
-### [stable-diffusion](https://github.com/compvis/stable-diffusion) by [compvis](https://github.com/compvis)  
-stable-diffusion: A latent text-to-image diffusion model  
-[https://ommer-lab.com/research/latent-diffusion-models/](https://ommer-lab.com/research/latent-diffusion-models/)  
-[https://github.com/compvis/stable-diffusion](https://github.com/compvis/stable-diffusion)  
-2148 stars per week over 17 weeks  
-36,523 stars, 5,617 forks, 348 watches  
-[diffusion](categories/diffusion.md) category, created 2022-08-10, last commit 2022-11-16, main language Jupyter Notebook  
+### [keras](https://github.com/keras-team/keras) by [keras-team](https://github.com/keras-team)  
+keras: Deep Learning for humans  
+[http://keras.io/](http://keras.io/)  
+[https://github.com/keras-team/keras](https://github.com/keras-team/keras)  
+138 stars per week over 414 weeks  
+57,473 stars, 19,305 forks, 1,923 watches  
+[ml-dl](categories/ml-dl.md) category, created 2015-03-28, last commit 2023-03-02, main language Python  
+<sub><sup>data-science, deep-learning, machine-learning, neural-networks, python, tensorflow</sup></sub>
 
 
-### [pandas](https://github.com/pandas-dev/pandas) by [pandas-dev](https://github.com/pandas-dev)  
-pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more  
-[https://pandas.pydata.org](https://pandas.pydata.org)  
-[https://github.com/pandas-dev/pandas](https://github.com/pandas-dev/pandas)  
-56 stars per week over 641 weeks  
-36,168 stars, 15,473 forks, 1,118 watches  
-[pandas](categories/pandas.md) category, created 2010-08-24, last commit 2022-12-06, main language Python  
-<sub><sup>alignment, data-analysis, data-science, flexible, pandas, python</sup></sub>
+### [langchain](https://github.com/hwchase17/langchain) by [hwchase17](https://github.com/hwchase17)  
+langchain: ⚡ Building applications with LLMs through composability ⚡  
+[https://github.com/hwchase17/langchain](https://github.com/hwchase17/langchain)  
+462 stars per week over 19 weeks  
+9,178 stars, 810 forks, 137 watches  
+[nlp](categories/nlp.md) category, created 2022-10-17, last commit 2023-03-04, main language Python  
 
 
-### [DeepFaceLab](https://github.com/iperov/deepfacelab) by [iperov](https://github.com/iperov)  
-DeepFaceLab is the leading software for creating deepfakes.  
-[https://github.com/iperov/deepfacelab](https://github.com/iperov/deepfacelab)  
-153 stars per week over 235 weeks  
-36,022 stars, 8,114 forks, 1,049 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-06-04, last commit 2022-10-31, main language Python  
-<sub><sup>arxiv, creating-deepfakes, deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfacelab, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, neural-nets, neural-networks</sup></sub>
+### [fastapi](https://github.com/tiangolo/fastapi) by [tiangolo](https://github.com/tiangolo)  
+FastAPI framework, high performance, easy to learn, fast to code, ready for production  
+[https://fastapi.tiangolo.com/](https://fastapi.tiangolo.com/)  
+[https://github.com/tiangolo/fastapi](https://github.com/tiangolo/fastapi)  
+249 stars per week over 221 weeks  
+55,127 stars, 4,572 forks, 616 watches  
+[web](categories/web.md) category, created 2018-12-08, last commit 2023-03-04, main language Python  
+<sub><sup>api, async, asyncio, fastapi, framework, json, json-schema, openapi, openapi3, pydantic, python, python-types, python3, redoc, rest, starlette, swagger, swagger-ui, uvicorn, web</sup></sub>
 
 
-### [black](https://github.com/psf/black) by [psf](https://github.com/psf)  
-black: The uncompromising Python code formatter  
-[https://black.readthedocs.io/en/stable/](https://black.readthedocs.io/en/stable/)  
-[https://github.com/psf/black](https://github.com/psf/black)  
-123 stars per week over 247 weeks  
-30,382 stars, 1,946 forks, 226 watches  
-[util](categories/util.md) category, created 2018-03-14, last commit 2022-11-21, main language Python  
-<sub><sup>autopep8, code, codeformatter, formatter, gofmt, hacktoberfest, pre-commit-hook, python, yapf</sup></sub>
+### [scikit-learn](https://github.com/scikit-learn/scikit-learn)  
+scikit-learn: machine learning in Python  
+[https://scikit-learn.org](https://scikit-learn.org)  
+[https://github.com/scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)  
+81 stars per week over 654 weeks  
+53,184 stars, 24,000 forks, 2,155 watches  
+[ml](categories/ml.md) category, created 2010-08-17, last commit 2023-03-03, main language Python  
+<sub><sup>data-analysis, data-science, machine-learning, python, statistics</sup></sub>
 
 
-### [pyenv](https://github.com/pyenv/pyenv)  
-pyenv: Simple Python version management  
-[https://github.com/pyenv/pyenv](https://github.com/pyenv/pyenv)  
-55 stars per week over 535 weeks  
-29,759 stars, 2,642 forks, 382 watches  
-[util](categories/util.md) category, created 2012-08-31, last commit 2022-12-02, main language Roff  
-<sub><sup>python, shell</sup></sub>
+### [textual](https://github.com/willmcgugan/textual) by [willmcgugan](https://github.com/willmcgugan)  
+Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.  
+[https://textual.textualize.io/](https://textual.textualize.io/)  
+[https://github.com/willmcgugan/textual](https://github.com/willmcgugan/textual)  
+180 stars per week over 99 weeks  
+17,946 stars, 525 forks, 157 watches  
+[term](categories/term.md) category, created 2021-04-08, last commit 2023-03-03, main language Python  
+<sub><sup>cli, framework, python, rich, terminal, tui</sup></sub>
 
 
-### [gym](https://github.com/openai/gym) by [openai](https://github.com/openai)  
-gym: A toolkit for developing and comparing reinforcement learning algorithms.  
-[https://www.gymlibrary.dev](https://www.gymlibrary.dev)  
-[https://github.com/openai/gym](https://github.com/openai/gym)  
-84 stars per week over 345 weeks  
-29,220 stars, 8,087 forks, 992 watches  
-[sim](categories/sim.md) category, created 2016-04-27, last commit 2022-10-25, main language Python  
+### [ColossalAI](https://github.com/hpcaitech/colossalai) by [hpcaitech](https://github.com/hpcaitech)  
+ColossalAI: Making large AI models cheaper, faster and more accessible  
+[https://www.colossalai.org/](https://www.colossalai.org/)  
+[https://github.com/hpcaitech/colossalai](https://github.com/hpcaitech/colossalai)  
+249 stars per week over 70 weeks  
+17,548 stars, 1,853 forks, 206 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-10-28, last commit 2023-03-04, main language Python  
+<sub><sup>ai, big-model, data-parallelism, deep-learning, distributed-computing, foundation-models, heterogeneous-training, hpc, inference, large-scale, model-parallelism, pipeline-parallelism</sup></sub>
 
 
-### [airflow](https://github.com/apache/airflow) by [apache](https://github.com/apache)  
-airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows  
-[https://airflow.apache.org/](https://airflow.apache.org/)  
-[https://github.com/apache/airflow](https://github.com/apache/airflow)  
-71 stars per week over 399 weeks  
-28,369 stars, 11,636 forks, 766 watches  
-[ml-ops](categories/ml-ops.md) category, created 2015-04-13, last commit 2022-12-07, main language Python  
-<sub><sup>airflow, apache, apache-airflow, hacktoberfest, python, scheduler, workflow</sup></sub>
+### [stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui) by [automatic1111](https://github.com/automatic1111)  
+stable-diffusion-webui: Stable Diffusion web UI  
+[https://github.com/automatic1111/stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui)  
+1555 stars per week over 27 weeks  
+43,329 stars, 8,008 forks, 402 watches  
+[diffusion](categories/diffusion.md) category, created 2022-08-22, last commit 2023-02-20, main language Python  
 
 
-### [diagrams](https://github.com/mingrammer/diagrams) by [mingrammer](https://github.com/mingrammer)  
-diagrams: :art: Diagram as Code for prototyping cloud system architectures  
-[https://diagrams.mingrammer.com](https://diagrams.mingrammer.com)  
-[https://github.com/mingrammer/diagrams](https://github.com/mingrammer/diagrams)  
-184 stars per week over 148 weeks  
-27,356 stars, 1,669 forks, 348 watches  
-[util](categories/util.md) category, created 2020-02-02, last commit 2022-11-27, main language Python  
-<sub><sup>architecture, diagram, diagram-as-code, graphviz</sup></sub>
+### [lightning](https://github.com/pytorchlightning/pytorch-lightning) by [pytorchlightning](https://github.com/pytorchlightning)  
+lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast.  
+[https://lightning.ai](https://lightning.ai)  
+[https://github.com/pytorchlightning/pytorch-lightning](https://github.com/pytorchlightning/pytorch-lightning)  
+106 stars per week over 205 weeks  
+21,777 stars, 2,761 forks, 229 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-03-31, last commit 2023-03-03, main language Python  
+<sub><sup>ai, artificial-intelligence, data-science, deep-learning, machine-learning, python, pytorch</sup></sub>
+
+
+### [ray](https://github.com/ray-project/ray) by [ray-project](https://github.com/ray-project)  
+Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.  
+[https://ray.io](https://ray.io)  
+[https://github.com/ray-project/ray](https://github.com/ray-project/ray)  
+73 stars per week over 331 weeks  
+24,399 stars, 4,238 forks, 441 watches  
+[ml-ops](categories/ml-ops.md) category, created 2016-10-25, last commit 2023-03-04, main language Python  
+<sub><sup>automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow</sup></sub>
+
+
+### [OpenBBTerminal](https://github.com/openbb-finance/openbbterminal) by [openbb-finance](https://github.com/openbb-finance)  
+OpenBBTerminal: Investment Research for Everyone, Anywhere.  
+[https://openbb.co](https://openbb.co)  
+[https://github.com/openbb-finance/openbbterminal](https://github.com/openbb-finance/openbbterminal)  
+168 stars per week over 115 weeks  
+19,426 stars, 2,023 forks, 239 watches  
+[finance](categories/finance.md) category, created 2020-12-20, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, crypto, cryptocurrency, economics, finance, investment, investment-research, machine-learning, openbb, python, quantitative-finance, stocks</sup></sub>
+
+
+### [pandas](https://github.com/pandas-dev/pandas) by [pandas-dev](https://github.com/pandas-dev)  
+pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more  
+[https://pandas.pydata.org](https://pandas.pydata.org)  
+[https://github.com/pandas-dev/pandas](https://github.com/pandas-dev/pandas)  
+56 stars per week over 653 weeks  
+37,060 stars, 15,845 forks, 1,105 watches  
+[pandas](categories/pandas.md) category, created 2010-08-24, last commit 2023-03-04, main language Python  
+<sub><sup>alignment, data-analysis, data-science, flexible, pandas, python</sup></sub>
+
+
+### [polars](https://github.com/pola-rs/polars) by [pola-rs](https://github.com/pola-rs)  
+polars: Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js  
+[https://pola.rs/](https://pola.rs/)  
+[https://github.com/pola-rs/polars](https://github.com/pola-rs/polars)  
+101 stars per week over 146 weeks  
+14,809 stars, 751 forks, 126 watches  
+[perf](categories/perf.md) category, created 2020-05-13, last commit 2023-03-03, main language Rust  
+<sub><sup>arrow, dataframe, dataframe-library, dataframes, out-of-core, python, rust</sup></sub>
+
+
+### [Paddle](https://github.com/paddlepaddle/paddle) by [paddlepaddle](https://github.com/paddlepaddle)  
+Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）  
+[http://www.paddlepaddle.org/](http://www.paddlepaddle.org/)  
+[https://github.com/paddlepaddle/paddle](https://github.com/paddlepaddle/paddle)  
+57 stars per week over 341 weeks  
+19,707 stars, 5,002 forks, 731 watches  
+[ml-dl](categories/ml-dl.md) category, created 2016-08-15, last commit 2023-03-03, main language C++  
+<sub><sup>deep-learning, distributed-training, efficiency, machine-learning, neural-network, paddlepaddle, python, scalability</sup></sub>
 
 
 ### [ccxt](https://github.com/ccxt/ccxt)  
 ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges  
 [https://github.com/ccxt/ccxt](https://github.com/ccxt/ccxt)  
-91 stars per week over 290 weeks  
-26,569 stars, 6,498 forks, 929 watches  
-[crypto](categories/crypto.md) category, created 2017-05-14, last commit 2022-12-07, main language JavaScript  
+90 stars per week over 303 weeks  
+27,419 stars, 6,729 forks, 940 watches  
+[crypto](categories/crypto.md) category, created 2017-05-14, last commit 2023-03-04, main language JavaScript  
 <sub><sup>altcoin, api, arbitrage, bitcoin, bot, btc, crypto, cryptocurrency, e-commerce, eth, ethereum, exchange, invest, library, market-data, merchant, strategy, trade, trading</sup></sub>
 
 
-### [Detectron](https://github.com/facebookresearch/detectron) by [facebookresearch](https://github.com/facebookresearch)  
-Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.  
-[https://github.com/facebookresearch/detectron](https://github.com/facebookresearch/detectron)  
-94 stars per week over 269 weeks  
-25,445 stars, 5,480 forks, 959 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-10-05, last commit 2021-03-27, main language Python  
-
-
-### [GFPGAN](https://github.com/tencentarc/gfpgan) by [tencentarc](https://github.com/tencentarc)  
-GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.  
-[https://github.com/tencentarc/gfpgan](https://github.com/tencentarc/gfpgan)  
-278 stars per week over 89 weeks  
-24,990 stars, 3,771 forks, 368 watches  
-[ml](categories/ml.md) category, created 2021-03-19, last commit 2022-09-16, main language Python  
-<sub><sup>deep-learning, face-restoration, gan, gfpgan, image-restoration, pytorch, super-resolution</sup></sub>
+### [freqtrade](https://github.com/freqtrade/freqtrade)  
+freqtrade: Free, open source crypto trading bot  
+[https://www.freqtrade.io](https://www.freqtrade.io)  
+[https://github.com/freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  
+69 stars per week over 302 weeks  
+20,908 stars, 4,495 forks, 595 watches  
+[crypto](categories/crypto.md) category, created 2017-05-17, last commit 2023-03-03, main language Python  
+<sub><sup>algorithmic-trading, bitcoin, cryptocurrencies, cryptocurrency, freqtrade, python, telegram-bot, trade, trading-bot</sup></sub>
 
 
-### [spaCy](https://github.com/explosion/spacy) by [explosion](https://github.com/explosion)  
-spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python  
-[https://spacy.io](https://spacy.io)  
-[https://github.com/explosion/spacy](https://github.com/explosion/spacy)  
-56 stars per week over 439 weeks  
-24,716 stars, 3,984 forks, 547 watches  
-[nlp](categories/nlp.md) category, created 2014-07-03, last commit 2022-12-07, main language Python  
-<sub><sup>ai, artificial-intelligence, cython, data-science, deep-learning, entity-linking, machine-learning, named-entity-recognition, natural-language-processing, neural-network, neural-networks, nlp, nlp-library, python, spacy, text-classification, tokenization</sup></sub>
+### [EdgeGPT](https://github.com/acheong08/edgegpt) by [acheong08](https://github.com/acheong08)  
+EdgeGPT: Reverse engineered API of Microsoft's Bing Chat  
+[https://github.com/acheong08/edgegpt](https://github.com/acheong08/edgegpt)  
+687 stars per week over 3 weeks  
+2,357 stars, 228 forks, 34 watches  
+[nlp](categories/nlp.md) category, created 2023-02-09, last commit 2023-03-05, main language Python  
+<sub><sup>binggpt, chatgpt, edge, edgegpt, gpt, reverse-engineering</sup></sub>
 
 
-### [stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui) by [automatic1111](https://github.com/automatic1111)  
-stable-diffusion-webui: Stable Diffusion web UI  
-[https://github.com/automatic1111/stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui)  
-1567 stars per week over 15 weeks  
-23,958 stars, 4,338 forks, 245 watches  
-[diffusion](categories/diffusion.md) category, created 2022-08-22, last commit 2022-12-04, main language Python  
+### [black](https://github.com/psf/black) by [psf](https://github.com/psf)  
+black: The uncompromising Python code formatter  
+[https://black.readthedocs.io/en/stable/](https://black.readthedocs.io/en/stable/)  
+[https://github.com/psf/black](https://github.com/psf/black)  
+121 stars per week over 259 weeks  
+31,523 stars, 2,033 forks, 230 watches  
+[util](categories/util.md) category, created 2018-03-14, last commit 2023-02-27, main language Python  
+<sub><sup>autopep8, code, codeformatter, formatter, gofmt, hacktoberfest, pre-commit-hook, python, yapf</sup></sub>
 
 
-### [handson-ml2](https://github.com/ageron/handson-ml2) by [ageron](https://github.com/ageron)  
-handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.  
-[https://github.com/ageron/handson-ml2](https://github.com/ageron/handson-ml2)  
-115 stars per week over 204 weeks  
-23,637 stars, 11,425 forks, 621 watches  
-[ml](categories/ml.md) category, created 2019-01-08, last commit 2022-11-08, main language Jupyter Notebook  
+### [pyscript](https://github.com/pyscript/pyscript)  
+pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples  
+[https://github.com/pyscript/pyscript/discussions](https://github.com/pyscript/pyscript/discussions)  
+[https://github.com/pyscript/pyscript](https://github.com/pyscript/pyscript)  
+288 stars per week over 53 weeks  
+15,525 stars, 1,166 forks, 175 watches  
+[web](categories/web.md) category, created 2022-02-21, last commit 2023-03-03, main language Python  
+<sub><sup>html, javascript, python, wasm</sup></sub>
 
 
-### [xgboost](https://github.com/dmlc/xgboost) by [dmlc](https://github.com/dmlc)  
-xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow  
-[https://xgboost.ai/](https://xgboost.ai/)  
-[https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)  
-51 stars per week over 460 weeks  
-23,534 stars, 8,529 forks, 931 watches  
-[ml](categories/ml.md) category, created 2014-02-06, last commit 2022-12-07, main language C++  
-<sub><sup>distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost</sup></sub>
+### [datasets](https://github.com/huggingface/datasets) by [huggingface](https://github.com/huggingface)  
+datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools  
+[https://huggingface.co/docs/datasets](https://huggingface.co/docs/datasets)  
+[https://github.com/huggingface/datasets](https://github.com/huggingface/datasets)  
+100 stars per week over 153 weeks  
+15,388 stars, 2,044 forks, 261 watches  
+[nlp](categories/nlp.md) category, created 2020-03-26, last commit 2023-03-03, main language Python  
+<sub><sup>computer-vision, datasets, deep-learning, evaluation, hacktoberfest, machine-learning, metrics, natural-language-processing, nlp, numpy, pandas, pytorch, speech, tensorflow</sup></sub>
 
 
-### [tqdm](https://github.com/tqdm/tqdm)  
-tqdm: A Fast, Extensible Progress Bar for Python and CLI  
-[https://tqdm.github.io](https://tqdm.github.io)  
-[https://github.com/tqdm/tqdm](https://github.com/tqdm/tqdm)  
-59 stars per week over 392 weeks  
-23,501 stars, 1,195 forks, 207 watches  
-[term](categories/term.md) category, created 2015-06-03, last commit 2022-09-03, main language Python  
-<sub><sup>cli, closember, console, discord, gui, jupyter, keras, meter, pandas, parallel, progress, progress-bar, progressbar, progressmeter, python, rate, telegram, terminal, time, utilities</sup></sub>
+### [pynecone](https://github.com/pynecone-io/pynecone) by [pynecone-io](https://github.com/pynecone-io)  
+pynecone: 🕸 Web apps in pure Python 🐍  
+[https://pynecone.io](https://pynecone.io)  
+[https://github.com/pynecone-io/pynecone](https://github.com/pynecone-io/pynecone)  
+298 stars per week over 18 weeks  
+5,577 stars, 188 forks, 57 watches  
+[web](categories/web.md) category, created 2022-10-25, last commit 2023-03-04, main language Python  
+<sub><sup>framework, fullstack, infrastructure, open-source, python, python-library, python3, web, webdev</sup></sub>
 
 
-### [python-fire](https://github.com/google/python-fire) by [google](https://github.com/google)  
-python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.  
-[https://github.com/google/python-fire](https://github.com/google/python-fire)  
-77 stars per week over 302 weeks  
-23,437 stars, 1,353 forks, 380 watches  
-[term](categories/term.md) category, created 2017-02-21, last commit 2022-11-28, main language Python  
-<sub><sup>cli, python</sup></sub>
+### [mmdetection](https://github.com/open-mmlab/mmdetection) by [open-mmlab](https://github.com/open-mmlab)  
+mmdetection: OpenMMLab Detection Toolbox and Benchmark  
+[https://mmdetection.readthedocs.io](https://mmdetection.readthedocs.io)  
+[https://github.com/open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection)  
+97 stars per week over 236 weeks  
+23,179 stars, 8,406 forks, 363 watches  
+[ml](categories/ml.md) category, created 2018-08-22, last commit 2023-02-28, main language Python  
+<sub><sup>cascade-rcnn, convnext, detr, fast-rcnn, faster-rcnn, instance-segmentation, mask-rcnn, object-detection, panoptic-segmentation, pytorch, retinanet, rtmdet, semisupervised-learning, ssd, swin-transformer, transformer, vision-transformer, yolo</sup></sub>
 
 
-### [detectron2](https://github.com/facebookresearch/detectron2) by [facebookresearch](https://github.com/facebookresearch)  
-Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.  
-[https://detectron2.readthedocs.io/en/latest/](https://detectron2.readthedocs.io/en/latest/)  
-[https://github.com/facebookresearch/detectron2](https://github.com/facebookresearch/detectron2)  
-135 stars per week over 169 weeks  
-23,038 stars, 6,272 forks, 365 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-09-05, last commit 2022-12-06, main language Python  
+### [jax](https://github.com/google/jax) by [google](https://github.com/google)  
+jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more  
+[http://jax.readthedocs.io/](http://jax.readthedocs.io/)  
+[https://github.com/google/jax](https://github.com/google/jax)  
+97 stars per week over 227 weeks  
+22,126 stars, 2,073 forks, 309 watches  
+[ml](categories/ml.md) category, created 2018-10-25, last commit 2023-03-03, main language Python  
+<sub><sup>jax</sup></sub>
 
 
 ### [poetry](https://github.com/python-poetry/poetry) by [python-poetry](https://github.com/python-poetry)  
 poetry: Python packaging and dependency management made easy  
 [https://python-poetry.org](https://python-poetry.org)  
 [https://github.com/python-poetry/poetry](https://github.com/python-poetry/poetry)  
-91 stars per week over 249 weeks  
-22,845 stars, 1,849 forks, 185 watches  
-[util](categories/util.md) category, created 2018-02-28, last commit 2022-12-05, main language Python  
+91 stars per week over 261 weeks  
+24,007 stars, 1,919 forks, 184 watches  
+[util](categories/util.md) category, created 2018-02-28, last commit 2023-03-04, main language Python  
 <sub><sup>dependency-manager, package-manager, packaging, poetry, python</sup></sub>
 
 
-### [Mask_RCNN](https://github.com/matterport/mask_rcnn) by [matterport](https://github.com/matterport)  
-Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow  
-[https://github.com/matterport/mask_rcnn](https://github.com/matterport/mask_rcnn)  
-83 stars per week over 267 weeks  
-22,482 stars, 11,162 forks, 599 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-10-19, last commit 2019-03-31, main language Python  
-<sub><sup>instance-segmentation, keras, mask-rcnn, object-detection, tensorflow</sup></sub>
-
-
-### [pytorch-image-models](https://github.com/rwightman/pytorch-image-models) by [rwightman](https://github.com/rwightman)  
-pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more  
-[https://huggingface.co/docs/timm](https://huggingface.co/docs/timm)  
-[https://github.com/rwightman/pytorch-image-models](https://github.com/rwightman/pytorch-image-models)  
-111 stars per week over 200 weeks  
-22,389 stars, 3,729 forks, 290 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-02-02, last commit 2022-12-05, main language Python  
-<sub><sup>augmix, cnn-classification, distributed-training, dual-path-networks, efficientnet, efficientnet-training, imagenet-classifier, mixnet, mnasnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models</sup></sub>
-
-
-### [mmdetection](https://github.com/open-mmlab/mmdetection) by [open-mmlab](https://github.com/open-mmlab)  
-mmdetection: OpenMMLab Detection Toolbox and Benchmark  
-[https://mmdetection.readthedocs.io](https://mmdetection.readthedocs.io)  
-[https://github.com/open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection)  
-99 stars per week over 224 weeks  
-22,303 stars, 8,115 forks, 362 watches  
-[ml](categories/ml.md) category, created 2018-08-22, last commit 2022-11-23, main language Python  
-<sub><sup>cascade-rcnn, fast-rcnn, faster-rcnn, instance-segmentation, mask-rcnn, object-detection, pytorch, retinanet, rpn, ssd</sup></sub>
-
-
 ### [numpy](https://github.com/numpy/numpy)  
 numpy: The fundamental package for scientific computing with Python.  
 [https://numpy.org](https://numpy.org)  
 [https://github.com/numpy/numpy](https://github.com/numpy/numpy)  
-34 stars per week over 638 weeks  
-22,137 stars, 7,583 forks, 569 watches  
-[math](categories/math.md) category, created 2010-09-13, last commit 2022-12-07, main language Python  
-<sub><sup>closember, numpy, python</sup></sub>
+35 stars per week over 650 weeks  
+22,829 stars, 7,814 forks, 572 watches  
+[math](categories/math.md) category, created 2010-09-13, last commit 2023-03-03, main language Python  
+<sub><sup>numpy, python</sup></sub>
 
 
-### [algorithms](https://github.com/keon/algorithms) by [keon](https://github.com/keon)  
-algorithms: Minimal examples of data structures and algorithms in Python  
-[https://github.com/keon/algorithms](https://github.com/keon/algorithms)  
-69 stars per week over 315 weeks  
-21,904 stars, 4,420 forks, 642 watches  
-[util](categories/util.md) category, created 2016-11-17, last commit 2022-11-12, main language Python  
-<sub><sup>algorithm, algorithms, competitive-programming, data-structure, graph, python, search, sort, tree</sup></sub>
+### [jina](https://github.com/jina-ai/jina) by [jina-ai](https://github.com/jina-ai)  
+jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native  
+[https://docs.jina.ai](https://docs.jina.ai)  
+[https://github.com/jina-ai/jina](https://github.com/jina-ai/jina)  
+110 stars per week over 159 weeks  
+17,606 stars, 2,045 forks, 191 watches  
+[ml](categories/ml.md) category, created 2020-02-13, last commit 2023-03-03, main language Python  
+<sub><sup>aiops, airflow, cloud-native, creative-ai, crossmodal, deep-learning, fastapi, framework, generative-ai, grpc, kubernetes, machine-learning, microservices, mlops, multimodal, neural-search, pipeline, semantic-search, vector-search-engine, workflow</sup></sub>
 
 
 ### [streamlit](https://github.com/streamlit/streamlit)  
 Streamlit — The fastest way to build data apps in Python  
 [https://streamlit.io](https://streamlit.io)  
 [https://github.com/streamlit/streamlit](https://github.com/streamlit/streamlit)  
-126 stars per week over 171 weeks  
-21,706 stars, 1,948 forks, 283 watches  
-[viz](categories/viz.md) category, created 2019-08-24, last commit 2022-12-07, main language Python  
+125 stars per week over 184 weeks  
+23,043 stars, 2,045 forks, 285 watches  
+[viz](categories/viz.md) category, created 2019-08-24, last commit 2023-03-03, main language Python  
 <sub><sup>data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning, python, streamlit</sup></sub>
 
 
-### [jax](https://github.com/google/jax) by [google](https://github.com/google)  
-jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more  
-[http://jax.readthedocs.io/](http://jax.readthedocs.io/)  
-[https://github.com/google/jax](https://github.com/google/jax)  
-98 stars per week over 214 weeks  
-21,094 stars, 1,969 forks, 288 watches  
-[ml](categories/ml.md) category, created 2018-10-25, last commit 2022-12-07, main language Python  
-<sub><sup>jax</sup></sub>
-
-
-### [tornado](https://github.com/tornadoweb/tornado) by [tornadoweb](https://github.com/tornadoweb)  
-Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.  
-[http://www.tornadoweb.org/](http://www.tornadoweb.org/)  
-[https://github.com/tornadoweb/tornado](https://github.com/tornadoweb/tornado)  
-30 stars per week over 691 weeks  
-20,892 stars, 5,484 forks, 1,007 watches  
-[web](categories/web.md) category, created 2009-09-09, last commit 2022-11-28, main language Python  
-<sub><sup>asynchronous, python</sup></sub>
-
-
-### [lightning](https://github.com/pytorchlightning/pytorch-lightning) by [pytorchlightning](https://github.com/pytorchlightning)  
-lightning: Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.  
-[https://lightning.ai](https://lightning.ai)  
-[https://github.com/pytorchlightning/pytorch-lightning](https://github.com/pytorchlightning/pytorch-lightning)  
-108 stars per week over 192 weeks  
-20,867 stars, 2,662 forks, 229 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-03-31, last commit 2022-12-07, main language Python  
-<sub><sup>ai, artificial-intelligence, data-science, deep-learning, machine-learning, python, pytorch</sup></sub>
-
-
-### [celery](https://github.com/celery/celery)  
-celery: Distributed Task Queue (development branch)  
-[https://docs.celeryq.dev](https://docs.celeryq.dev)  
-[https://github.com/celery/celery](https://github.com/celery/celery)  
-29 stars per week over 710 weeks  
-20,619 stars, 4,394 forks, 477 watches  
-[perf](categories/perf.md) category, created 2009-04-24, last commit 2022-12-06, main language Python  
-<sub><sup>amqp, python, python-library, python3, queue-tasks, queue-workers, queued-jobs, redis, redis-queue, sqs, sqs-queue, task-manager, task-runner, task-scheduler</sup></sub>
+### [memray](https://github.com/bloomberg/memray) by [bloomberg](https://github.com/bloomberg)  
+Memray is a memory profiler for Python  
+[https://bloomberg.github.io/memray/](https://bloomberg.github.io/memray/)  
+[https://github.com/bloomberg/memray](https://github.com/bloomberg/memray)  
+215 stars per week over 47 weeks  
+10,203 stars, 283 forks, 53 watches  
+[profiling](categories/profiling.md) category, created 2022-04-08, last commit 2023-02-27, main language Python  
+<sub><sup>hacktoberfest, memory, memory-leak, memory-leak-detection, memory-profiler, profiler, python, python3</sup></sub>
 
 
-### [locust](https://github.com/locustio/locust) by [locustio](https://github.com/locustio)  
-locust: Scalable load testing tool written in Python  
-[https://github.com/locustio/locust](https://github.com/locustio/locust)  
-32 stars per week over 615 weeks  
-20,265 stars, 2,592 forks, 430 watches  
-[testing](categories/testing.md) category, created 2011-02-17, last commit 2022-12-06, main language Python  
-<sub><sup>benchmarking, http, load-generator, load-testing, locust, performance-testing, python</sup></sub>
+### [pytorch-image-models](https://github.com/rwightman/pytorch-image-models) by [rwightman](https://github.com/rwightman)  
+pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more  
+[https://huggingface.co/docs/timm](https://huggingface.co/docs/timm)  
+[https://github.com/rwightman/pytorch-image-models](https://github.com/rwightman/pytorch-image-models)  
+111 stars per week over 213 weeks  
+23,868 stars, 3,936 forks, 296 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-02-02, last commit 2023-02-27, main language Python  
+<sub><sup>augmix, cnn-classification, distributed-training, dual-path-networks, efficientnet, efficientnet-training, imagenet-classifier, mixnet, mnasnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models</sup></sub>
 
 
-### [mxnet](https://github.com/apache/incubator-mxnet) by [apache](https://github.com/apache)  
-mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more  
-[https://mxnet.apache.org](https://mxnet.apache.org)  
-[https://github.com/apache/incubator-mxnet](https://github.com/apache/incubator-mxnet)  
-50 stars per week over 396 weeks  
-20,178 stars, 6,877 forks, 1,089 watches  
-[ml-dl](categories/ml-dl.md) category, created 2015-04-30, last commit 2022-09-26, main language C++  
-<sub><sup>mxnet</sup></sub>
+### [PaLM-rlhf-pytorch](https://github.com/lucidrains/palm-rlhf-pytorch) by [lucidrains](https://github.com/lucidrains)  
+PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM  
+[https://github.com/lucidrains/palm-rlhf-pytorch](https://github.com/lucidrains/palm-rlhf-pytorch)  
+450 stars per week over 12 weeks  
+5,536 stars, 431 forks, 109 watches  
+[nlp](categories/nlp.md) category, created 2022-12-09, last commit 2023-03-01, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, human-feedback, reinforcement-learning, transformers</sup></sub>
 
 
-### [fairseq](https://github.com/pytorch/fairseq) by [pytorch](https://github.com/pytorch)  
-fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.  
-[https://github.com/pytorch/fairseq](https://github.com/pytorch/fairseq)  
-72 stars per week over 275 weeks  
-20,065 stars, 5,058 forks, 354 watches  
-[nlp](categories/nlp.md) category, created 2017-08-29, last commit 2022-11-29, main language Python  
-<sub><sup>artificial-intelligence, python, pytorch</sup></sub>
+### [arrow](https://github.com/apache/arrow) by [apache](https://github.com/apache)  
+arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing  
+[https://arrow.apache.org/](https://arrow.apache.org/)  
+[https://github.com/apache/arrow](https://github.com/apache/arrow)  
+30 stars per week over 367 weeks  
+11,225 stars, 2,764 forks, 345 watches  
+[data](categories/data.md) category, created 2016-02-17, last commit 2023-03-04, main language C++  
+<sub><sup>arrow</sup></sub>
 
 
-### [freqtrade](https://github.com/freqtrade/freqtrade)  
-freqtrade: Free, open source crypto trading bot  
-[https://www.freqtrade.io](https://www.freqtrade.io)  
-[https://github.com/freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  
-69 stars per week over 290 weeks  
-20,030 stars, 4,243 forks, 591 watches  
-[crypto](categories/crypto.md) category, created 2017-05-17, last commit 2022-12-06, main language Python  
-<sub><sup>algorithmic-trading, bitcoin, cryptocurrencies, cryptocurrency, freqtrade, python, telegram-bot, trade, trading-bot</sup></sub>
+### [dream-textures](https://github.com/carson-katri/dream-textures) by [carson-katri](https://github.com/carson-katri)  
+dream-textures: Stable Diffusion built-in to Blender  
+[https://github.com/carson-katri/dream-textures](https://github.com/carson-katri/dream-textures)  
+234 stars per week over 25 weeks  
+5,974 stars, 306 forks, 95 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-08, last commit 2023-02-15, main language Python  
+<sub><sup>ai, blender, blender-addon, image-generation, stable-diffusion</sup></sub>
 
 
 ### [mediapipe](https://github.com/google/mediapipe) by [google](https://github.com/google)  
 mediapipe: Cross-platform, customizable ML solutions for live and streaming media.  
 [https://mediapipe.dev](https://mediapipe.dev)  
 [https://github.com/google/mediapipe](https://github.com/google/mediapipe)  
-107 stars per week over 181 weeks  
-19,623 stars, 4,132 forks, 495 watches  
-[ml](categories/ml.md) category, created 2019-06-13, last commit 2022-12-07, main language C++  
+106 stars per week over 194 weeks  
+20,716 stars, 4,331 forks, 503 watches  
+[ml](categories/ml.md) category, created 2019-06-13, last commit 2023-03-03, main language C++  
 <sub><sup>android, audio-processing, c-plus-plus, calculator, computer-vision, deep-learning, framework, graph-based, graph-framework, inference, machine-learning, mediapipe, mobile-development, perception, pipeline-framework, stream-processing, video-processing</sup></sub>
 
 
-### [flatbuffers](https://github.com/google/flatbuffers) by [google](https://github.com/google)  
-FlatBuffers: Memory Efficient Serialization Library  
-[http://google.github.io/flatbuffers/](http://google.github.io/flatbuffers/)  
-[https://github.com/google/flatbuffers](https://github.com/google/flatbuffers)  
-43 stars per week over 446 weeks  
-19,486 stars, 2,968 forks, 648 watches  
-[perf](categories/perf.md) category, created 2014-05-19, last commit 2022-12-07, main language C++  
-<sub><sup>c, c-plus-plus, c-sharp, cross-platform, flatbuffers, go, grpc, java, javascript, json-parser, marshalling, mmap, protobuf, python, rpc, rust, serialization, serialization-library, typescript, zero-copy</sup></sub>
-
-
-### [pytudes](https://github.com/norvig/pytudes) by [norvig](https://github.com/norvig)  
-pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.  
-[https://github.com/norvig/pytudes](https://github.com/norvig/pytudes)  
-64 stars per week over 301 weeks  
-19,392 stars, 2,231 forks, 712 watches  
-[util](categories/util.md) category, created 2017-03-01, last commit 2022-12-02, main language Jupyter Notebook  
-<sub><sup>demonstrate-skills, practice, programming, python, python-3</sup></sub>
-
-
-### [Paddle](https://github.com/paddlepaddle/paddle) by [paddlepaddle](https://github.com/paddlepaddle)  
-Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）  
-[http://www.paddlepaddle.org/](http://www.paddlepaddle.org/)  
-[https://github.com/paddlepaddle/paddle](https://github.com/paddlepaddle/paddle)  
-58 stars per week over 329 weeks  
-19,267 stars, 4,815 forks, 733 watches  
-[ml-dl](categories/ml-dl.md) category, created 2016-08-15, last commit 2022-12-07, main language C++  
-<sub><sup>deep-learning, distributed-training, efficiency, machine-learning, neural-network, paddlepaddle, python, scalability</sup></sub>
-
-
-### [cookiecutter](https://github.com/cookiecutter/cookiecutter)  
-cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.  
-[https://pypi.org/project/cookiecutter/](https://pypi.org/project/cookiecutter/)  
-[https://github.com/cookiecutter/cookiecutter](https://github.com/cookiecutter/cookiecutter)  
-37 stars per week over 490 weeks  
-18,527 stars, 1,759 forks, 237 watches  
-[template](categories/template.md) category, created 2013-07-14, last commit 2022-09-09, main language Python  
-<sub><sup>cookiecutter, python</sup></sub>
-
-
-### [pydata-book](https://github.com/wesm/pydata-book) by [wesm](https://github.com/wesm)  
-pydata-book: Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media  
-[https://github.com/wesm/pydata-book](https://github.com/wesm/pydata-book)  
-33 stars per week over 544 weeks  
-18,470 stars, 13,769 forks, 1,453 watches  
-[study](categories/study.md) category, created 2012-06-30, last commit 2022-11-03, main language Jupyter Notebook  
+### [dgl](https://github.com/dmlc/dgl) by [dmlc](https://github.com/dmlc)  
+dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.  
+[http://dgl.ai](http://dgl.ai)  
+[https://github.com/dmlc/dgl](https://github.com/dmlc/dgl)  
+44 stars per week over 254 weeks  
+11,212 stars, 2,722 forks, 173 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-04-20, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, graph-neural-networks</sup></sub>
 
 
-### [PlotNeuralNet](https://github.com/harisiqbal88/plotneuralnet) by [harisiqbal88](https://github.com/harisiqbal88)  
-PlotNeuralNet: Latex code for making neural networks diagrams  
-[https://github.com/harisiqbal88/plotneuralnet](https://github.com/harisiqbal88/plotneuralnet)  
-80 stars per week over 228 weeks  
-18,387 stars, 2,528 forks, 219 watches  
-[ml](categories/ml.md) category, created 2018-07-24, last commit 2020-11-06, main language TeX  
-<sub><sup>deep-neural-networks, latex</sup></sub>
+### [flask](https://github.com/pallets/flask) by [pallets](https://github.com/pallets)  
+flask: The Python micro framework for building web applications.  
+[https://flask.palletsprojects.com](https://flask.palletsprojects.com)  
+[https://github.com/pallets/flask](https://github.com/pallets/flask)  
+92 stars per week over 673 weeks  
+62,081 stars, 15,482 forks, 2,143 watches  
+[web](categories/web.md) category, created 2010-04-06, last commit 2023-03-01, main language Python  
+<sub><sup>flask, jinja, pallets, python, web-framework, werkzeug, wsgi</sup></sub>
 
 
-### [shap](https://github.com/slundberg/shap) by [slundberg](https://github.com/slundberg)  
-shap: A game theoretic approach to explain the output of any machine learning model.  
-[https://github.com/slundberg/shap](https://github.com/slundberg/shap)  
-57 stars per week over 315 weeks  
-18,096 stars, 2,722 forks, 260 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2016-11-22, last commit 2022-06-16, main language Jupyter Notebook  
-<sub><sup>deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley</sup></sub>
+### [openai-cookbook](https://github.com/openai/openai-cookbook) by [openai](https://github.com/openai)  
+openai-cookbook: Examples and guides for using the OpenAI API  
+[https://github.com/openai/openai-cookbook](https://github.com/openai/openai-cookbook)  
+302 stars per week over 51 weeks  
+15,510 stars, 2,042 forks, 336 watches  
+[ml](categories/ml.md) category, created 2022-03-11, last commit 2023-03-03, main language Jupyter Notebook  
 
 
-### [dash](https://github.com/plotly/dash) by [plotly](https://github.com/plotly)  
-dash: Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.  
-[https://plotly.com/dash](https://plotly.com/dash)  
-[https://github.com/plotly/dash](https://github.com/plotly/dash)  
-44 stars per week over 399 weeks  
-17,753 stars, 1,811 forks, 408 watches  
-[viz](categories/viz.md) category, created 2015-04-10, last commit 2022-12-05, main language Python  
-<sub><sup>bioinformatics, charting, dash, data-science, data-visualization, finance, flask, gui-framework, julia, jupyter, modeling, plotly, plotly-dash, productivity, python, r, react, rstats, technical-computing, web-app</sup></sub>
+### [sherlock](https://github.com/sherlock-project/sherlock) by [sherlock-project](https://github.com/sherlock-project)  
+sherlock: 🔎 Hunt down social media accounts by username across social networks  
+[http://sherlock-project.github.io](http://sherlock-project.github.io)  
+[https://github.com/sherlock-project/sherlock](https://github.com/sherlock-project/sherlock)  
+180 stars per week over 218 weeks  
+39,426 stars, 4,684 forks, 980 watches  
+[web](categories/web.md) category, created 2018-12-24, last commit 2023-02-27, main language Python  
+<sub><sup>cli, hacktoberfest, hacktoberfest2022, information-gathering, linux, macos, osint, python, python3, reconnaissance, redteam, sherlock, tools, windows</sup></sub>
 
 
-### [bokeh](https://github.com/bokeh/bokeh)  
-bokeh: Interactive Data Visualization in the browser, from  Python  
-[https://bokeh.org](https://bokeh.org)  
-[https://github.com/bokeh/bokeh](https://github.com/bokeh/bokeh)  
-30 stars per week over 558 weeks  
-16,967 stars, 4,007 forks, 453 watches  
-[viz](categories/viz.md) category, created 2012-03-26, last commit 2022-12-07, main language Python  
-<sub><sup>bokeh, data-visualisation, interactive-plots, javascript, jupyter, notebooks, numfocus, plots, plotting, python, visualisation, visualization</sup></sub>
+### [xgboost](https://github.com/dmlc/xgboost) by [dmlc](https://github.com/dmlc)  
+xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow  
+[https://xgboost.ai/](https://xgboost.ai/)  
+[https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)  
+50 stars per week over 473 weeks  
+23,825 stars, 8,551 forks, 925 watches  
+[ml](categories/ml.md) category, created 2014-02-06, last commit 2023-03-03, main language C++  
+<sub><sup>distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost</sup></sub>
 
 
-### [PythonRobotics](https://github.com/atsushisakai/pythonrobotics) by [atsushisakai](https://github.com/atsushisakai)  
-PythonRobotics: Python sample codes for robotics algorithms.  
-[https://atsushisakai.github.io/PythonRobotics/](https://atsushisakai.github.io/PythonRobotics/)  
-[https://github.com/atsushisakai/pythonrobotics](https://github.com/atsushisakai/pythonrobotics)  
-48 stars per week over 350 weeks  
-16,924 stars, 5,359 forks, 502 watches  
-[sim](categories/sim.md) category, created 2016-03-21, last commit 2022-12-05, main language Python  
-<sub><sup>algorithm, animation, autonomous-driving, autonomous-navigation, autonomous-vehicles, control, cvxpy, ekf, hacktoberfest, localization, mapping, path-planning, python, robot, robotics, slam</sup></sub>
+### [scrapy](https://github.com/scrapy/scrapy)  
+Scrapy, a fast high-level web crawling & scraping framework for Python.  
+[https://scrapy.org](https://scrapy.org)  
+[https://github.com/scrapy/scrapy](https://github.com/scrapy/scrapy)  
+68 stars per week over 679 weeks  
+46,354 stars, 9,883 forks, 1,783 watches  
+[data](categories/data.md) category, created 2010-02-22, last commit 2023-03-02, main language Python  
+<sub><sup>crawler, crawling, framework, hacktoberfest, python, scraping, web-scraping, web-scraping-python</sup></sub>
 
 
-### [jina](https://github.com/jina-ai/jina) by [jina-ai](https://github.com/jina-ai)  
-jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native  
-[https://docs.jina.ai](https://docs.jina.ai)  
-[https://github.com/jina-ai/jina](https://github.com/jina-ai/jina)  
-114 stars per week over 146 weeks  
-16,835 stars, 1,992 forks, 183 watches  
-[ml](categories/ml.md) category, created 2020-02-13, last commit 2022-12-07, main language Python  
-<sub><sup>aiops, airflow, cloud-native, creative-ai, crossmodal, deep-learning, fastapi, framework, generative-ai, grpc, kubernetes, machine-learning, microservices, mlops, multimodal, neural-search, pipeline, semantic-search, vector-search-engine, workflow</sup></sub>
+### [trivy](https://github.com/aquasecurity/trivy) by [aquasecurity](https://github.com/aquasecurity)  
+trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more  
+[https://aquasecurity.github.io/trivy](https://aquasecurity.github.io/trivy)  
+[https://github.com/aquasecurity/trivy](https://github.com/aquasecurity/trivy)  
+80 stars per week over 203 weeks  
+16,441 stars, 1,597 forks, 154 watches  
+[security](categories/security.md) category, created 2019-04-11, last commit 2023-03-03, main language Go  
+<sub><sup>containers, devsecops, docker, go, golang, hacktoberfest, iac, infrastructure-as-code, kubernetes, misconfiguration, security, security-tools, vulnerability, vulnerability-detection, vulnerability-scanners</sup></sub>
 
 
-### [Real-ESRGAN](https://github.com/xinntao/real-esrgan) by [xinntao](https://github.com/xinntao)  
-Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.  
-[https://github.com/xinntao/real-esrgan](https://github.com/xinntao/real-esrgan)  
-232 stars per week over 72 weeks  
-16,801 stars, 1,792 forks, 182 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-07-19, last commit 2022-09-20, main language Python  
-<sub><sup>amine, denoise, esrgan, image-restoration, jpeg-compression, pytorch, real-esrgan, super-resolution</sup></sub>
+### [jupyterlab](https://github.com/jupyterlab/jupyterlab)  
+JupyterLab computational environment.  
+[https://jupyterlab.readthedocs.io/](https://jupyterlab.readthedocs.io/)  
+[https://github.com/jupyterlab/jupyterlab](https://github.com/jupyterlab/jupyterlab)  
+35 stars per week over 352 weeks  
+12,669 stars, 2,576 forks, 309 watches  
+[jupyter](categories/jupyter.md) category, created 2016-06-03, last commit 2023-03-04, main language TypeScript  
+<sub><sup>jupyter, jupyterlab</sup></sub>
 
 
-### [sanic](https://github.com/huge-success/sanic) by [huge-success](https://github.com/huge-success)  
-sanic: Next generation Python web server/framework | Build fast. Run fast.  
-[https://sanic.dev](https://sanic.dev)  
-[https://github.com/huge-success/sanic](https://github.com/huge-success/sanic)  
-48 stars per week over 340 weeks  
-16,668 stars, 1,481 forks, 413 watches  
-[web](categories/web.md) category, created 2016-05-26, last commit 2022-11-29, main language Python  
-<sub><sup>api-server, asgi, asyncio, framework, python, sanic, web, web-framework, web-server</sup></sub>
+### [pytorch_geometric](https://github.com/pyg-team/pytorch_geometric) by [pyg-team](https://github.com/pyg-team)  
+pytorch_geometric: Graph Neural Network Library for PyTorch  
+[https://pyg.org](https://pyg.org)  
+[https://github.com/pyg-team/pytorch_geometric](https://github.com/pyg-team/pytorch_geometric)  
+59 stars per week over 282 weeks  
+16,927 stars, 3,110 forks, 250 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-10-06, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, geometric-deep-learning, graph-convolutional-networks, graph-neural-networks, pytorch</sup></sub>
 
 
 ### [matplotlib](https://github.com/matplotlib/matplotlib)  
 matplotlib: plotting with Python  
 [https://matplotlib.org/stable/](https://matplotlib.org/stable/)  
 [https://github.com/matplotlib/matplotlib](https://github.com/matplotlib/matplotlib)  
-26 stars per week over 615 weeks  
-16,508 stars, 6,629 forks, 586 watches  
-[viz](categories/viz.md) category, created 2011-02-19, last commit 2022-12-07, main language Python  
+26 stars per week over 628 weeks  
+16,947 stars, 6,754 forks, 592 watches  
+[viz](categories/viz.md) category, created 2011-02-19, last commit 2023-03-03, main language Python  
 <sub><sup>data-science, data-visualization, gtk, hacktoberfest, matplotlib, plotting, python, qt, tk, wx</sup></sub>
 
 
-### [EasyOCR](https://github.com/jaidedai/easyocr) by [jaidedai](https://github.com/jaidedai)  
-EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.  
-[https://www.jaided.ai](https://www.jaided.ai)  
-[https://github.com/jaidedai/easyocr](https://github.com/jaidedai/easyocr)  
-115 stars per week over 142 weeks  
-16,464 stars, 2,375 forks, 282 watches  
-[data](categories/data.md) category, created 2020-03-14, last commit 2022-11-18, main language Python  
-<sub><sup>cnn, crnn, data-mining, deep-learning, easyocr, image-processing, information-retrieval, lstm, machine-learning, ocr, optical-character-recognition, python, pytorch, scene-text, scene-text-recognition</sup></sub>
+### [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) by [apple](https://github.com/apple)  
+ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon  
+[https://github.com/apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion)  
+367 stars per week over 15 weeks  
+5,723 stars, 273 forks, 70 watches  
+[diffusion](categories/diffusion.md) category, created 2022-11-16, last commit 2023-03-04, main language Python  
 
 
-### [textual](https://github.com/willmcgugan/textual) by [willmcgugan](https://github.com/willmcgugan)  
-Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.  
-[https://textual.textualize.io/](https://textual.textualize.io/)  
-[https://github.com/willmcgugan/textual](https://github.com/willmcgugan/textual)  
-187 stars per week over 86 weeks  
-16,321 stars, 470 forks, 151 watches  
-[term](categories/term.md) category, created 2021-04-08, last commit 2022-12-05, main language Python  
-<sub><sup>cli, framework, python, rich, terminal, tui</sup></sub>
+### [diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui) by [divamgupta](https://github.com/divamgupta)  
+diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.  
+[https://diffusionbee.com](https://diffusionbee.com)  
+[https://github.com/divamgupta/diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui)  
+323 stars per week over 25 weeks  
+8,308 stars, 330 forks, 77 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2023-02-13, main language JavaScript  
+<sub><sup>electron-app, macos, stable-diffusion</sup></sub>
 
 
-### [pytorch_geometric](https://github.com/pyg-team/pytorch_geometric) by [pyg-team](https://github.com/pyg-team)  
-pytorch_geometric: Graph Neural Network Library for PyTorch  
-[https://pytorch-geometric.readthedocs.io/](https://pytorch-geometric.readthedocs.io/)  
-[https://github.com/pyg-team/pytorch_geometric](https://github.com/pyg-team/pytorch_geometric)  
-60 stars per week over 269 weeks  
-16,304 stars, 2,971 forks, 245 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-10-06, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, geometric-deep-learning, graph-convolutional-networks, graph-neural-networks, pytorch</sup></sub>
+### [certbot](https://github.com/certbot/certbot)  
+Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.  
+[https://github.com/certbot/certbot](https://github.com/certbot/certbot)  
+68 stars per week over 433 weeks  
+29,683 stars, 3,332 forks, 762 watches  
+[security](categories/security.md) category, created 2014-11-12, last commit 2023-03-02, main language Python  
+<sub><sup>acme, acme-client, certbot, certificate, letsencrypt, python</sup></sub>
 
 
-### [luigi](https://github.com/spotify/luigi) by [spotify](https://github.com/spotify)  
-Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.   
-[https://github.com/spotify/luigi](https://github.com/spotify/luigi)  
-30 stars per week over 532 weeks  
-16,176 stars, 2,353 forks, 485 watches  
-[ml-ops](categories/ml-ops.md) category, created 2012-09-20, last commit 2022-12-02, main language Python  
-<sub><sup>hadoop, luigi, orchestration-framework, python, scheduling</sup></sub>
+### [mlflow](https://github.com/mlflow/mlflow)  
+mlflow: Open source platform for the machine learning lifecycle  
+[https://mlflow.org](https://mlflow.org)  
+[https://github.com/mlflow/mlflow](https://github.com/mlflow/mlflow)  
+55 stars per week over 247 weeks  
+13,770 stars, 3,217 forks, 287 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-06-05, last commit 2023-03-03, main language Python  
+<sub><sup>ai, apache-spark, machine-learning, ml, mlflow, model-management</sup></sub>
 
 
-### [deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks) by [fchollet](https://github.com/fchollet)  
-deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"  
-[https://github.com/fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)  
-58 stars per week over 274 weeks  
-16,123 stars, 7,893 forks, 647 watches  
-[study](categories/study.md) category, created 2017-09-05, last commit 2022-02-10, main language Jupyter Notebook  
+### [gradio](https://github.com/gradio-app/gradio) by [gradio-app](https://github.com/gradio-app)  
+gradio: Create UIs for your machine learning model in Python in 3 minutes  
+[http://www.gradio.app](http://www.gradio.app)  
+[https://github.com/gradio-app/gradio](https://github.com/gradio-app/gradio)  
+60 stars per week over 219 weeks  
+13,315 stars, 870 forks, 104 watches  
+[viz](categories/viz.md) category, created 2018-12-19, last commit 2023-03-04, main language HTML  
+<sub><sup>data-analysis, data-science, data-visualization, deep-learning, deploy, gradio, gradio-interface, interface, machine-learning, models, python, python-notebook, ui, ui-components</sup></sub>
 
 
-### [gpt-2](https://github.com/openai/gpt-2) by [openai](https://github.com/openai)  
-gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"  
-[https://openai.com/blog/better-language-models/](https://openai.com/blog/better-language-models/)  
-[https://github.com/openai/gpt-2](https://github.com/openai/gpt-2)  
-79 stars per week over 199 weeks  
-15,784 stars, 3,983 forks, 585 watches  
-[nlp](categories/nlp.md) category, created 2019-02-11, last commit 2020-12-02, main language Python  
-<sub><sup>paper</sup></sub>
+### [gym](https://github.com/openai/gym) by [openai](https://github.com/openai)  
+gym: A toolkit for developing and comparing reinforcement learning algorithms.  
+[https://www.gymlibrary.dev](https://www.gymlibrary.dev)  
+[https://github.com/openai/gym](https://github.com/openai/gym)  
+84 stars per week over 357 weeks  
+30,229 stars, 8,260 forks, 1,010 watches  
+[sim](categories/sim.md) category, created 2016-04-27, last commit 2023-01-30, main language Python  
 
 
-### [pyspider](https://github.com/binux/pyspider) by [binux](https://github.com/binux)  
-pyspider: A Powerful Spider(Web Crawler) System in Python.  
-[http://docs.pyspider.org/](http://docs.pyspider.org/)  
-[https://github.com/binux/pyspider](https://github.com/binux/pyspider)  
-34 stars per week over 458 weeks  
-15,669 stars, 3,662 forks, 906 watches  
-[data](categories/data.md) category, created 2014-02-21, last commit 2020-08-02, main language Python  
-<sub><sup>crawler, python</sup></sub>
+### [pyenv](https://github.com/pyenv/pyenv)  
+pyenv: Simple Python version management  
+[https://github.com/pyenv/pyenv](https://github.com/pyenv/pyenv)  
+56 stars per week over 548 weeks  
+30,854 stars, 2,723 forks, 384 watches  
+[util](categories/util.md) category, created 2012-08-31, last commit 2023-03-02, main language Roff  
+<sub><sup>python, shell</sup></sub>
 
 
-### [ipython](https://github.com/ipython/ipython)  
-ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.  
-[https://ipython.readthedocs.org](https://ipython.readthedocs.org)  
-[https://github.com/ipython/ipython](https://github.com/ipython/ipython)  
-23 stars per week over 656 weeks  
-15,605 stars, 4,401 forks, 775 watches  
-[util](categories/util.md) category, created 2010-05-10, last commit 2022-11-28, main language Python  
-<sub><sup>closember, data-science, hacktoberfest, ipython, jupyter, notebook, python, repl</sup></sub>
+### [spaCy](https://github.com/explosion/spacy) by [explosion](https://github.com/explosion)  
+spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python  
+[https://spacy.io](https://spacy.io)  
+[https://github.com/explosion/spacy](https://github.com/explosion/spacy)  
+56 stars per week over 452 weeks  
+25,397 stars, 4,040 forks, 548 watches  
+[nlp](categories/nlp.md) category, created 2014-07-03, last commit 2023-03-01, main language Python  
+<sub><sup>ai, artificial-intelligence, cython, data-science, deep-learning, entity-linking, machine-learning, named-entity-recognition, natural-language-processing, neural-network, neural-networks, nlp, nlp-library, python, spacy, text-classification, tokenization</sup></sub>
 
 
-### [micropython](https://github.com/micropython/micropython)  
-MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems  
-[https://micropython.org](https://micropython.org)  
-[https://github.com/micropython/micropython](https://github.com/micropython/micropython)  
-33 stars per week over 467 weeks  
-15,566 stars, 5,981 forks, 728 watches  
-[util](categories/util.md) category, created 2013-12-20, last commit 2022-12-07, main language C  
-<sub><sup>embedded, microcontroller, micropython, python</sup></sub>
+### [duckdb](https://github.com/duckdb/duckdb)  
+DuckDB is an in-process SQL OLAP Database Management System  
+[http://www.duckdb.org](http://www.duckdb.org)  
+[https://github.com/duckdb/duckdb](https://github.com/duckdb/duckdb)  
+35 stars per week over 244 weeks  
+8,808 stars, 815 forks, 136 watches  
+[data](categories/data.md) category, created 2018-06-26, last commit 2023-03-04, main language C++  
+<sub><sup>analytics, database, embedded-database, olap, sql</sup></sub>
 
 
-### [deeplearning-models](https://github.com/rasbt/deeplearning-models) by [rasbt](https://github.com/rasbt)  
-deeplearning-models: A collection of various deep learning architectures, models, and tips  
-[https://github.com/rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)  
-84 stars per week over 183 weeks  
-15,461 stars, 3,826 forks, 598 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-06-05, last commit 2022-11-16, main language Jupyter Notebook  
+### [pydantic](https://github.com/samuelcolvin/pydantic) by [samuelcolvin](https://github.com/samuelcolvin)  
+pydantic: Data validation using Python type hints  
+[https://docs.pydantic.dev](https://docs.pydantic.dev)  
+[https://github.com/samuelcolvin/pydantic](https://github.com/samuelcolvin/pydantic)  
+41 stars per week over 304 weeks  
+12,670 stars, 1,176 forks, 91 watches  
+[util](categories/util.md) category, created 2017-05-03, last commit 2023-03-03, main language Python  
+<sub><sup>hints, json-schema, parsing, pydantic, python, python310, python311, python37, python38, python39, validation</sup></sub>
 
 
-### [PySnooper](https://github.com/cool-rr/pysnooper) by [cool-rr](https://github.com/cool-rr)  
-PySnooper: Never use print for debugging again  
-[https://github.com/cool-rr/pysnooper](https://github.com/cool-rr/pysnooper)  
-81 stars per week over 189 weeks  
-15,426 stars, 931 forks, 234 watches  
-[debug](categories/debug.md) category, created 2019-04-18, last commit 2022-04-02, main language Python  
-<sub><sup>debug, debugger, introspection, logging, python</sup></sub>
+### [requests](https://github.com/psf/requests) by [psf](https://github.com/psf)  
+requests: A simple, yet elegant, HTTP library.  
+[https://requests.readthedocs.io/en/latest/](https://requests.readthedocs.io/en/latest/)  
+[https://github.com/psf/requests](https://github.com/psf/requests)  
+78 stars per week over 629 weeks  
+49,147 stars, 8,992 forks, 1,352 watches  
+[web](categories/web.md) category, created 2011-02-13, last commit 2023-03-03, main language Python  
+<sub><sup>client, cookies, forhumans, http, humans, python, python-requests, requests</sup></sub>
 
 
-### [avatarify-python](https://github.com/alievk/avatarify-python) by [alievk](https://github.com/alievk)  
-avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.  
-[https://github.com/alievk/avatarify-python](https://github.com/alievk/avatarify-python)  
-109 stars per week over 139 weeks  
-15,282 stars, 2,354 forks, 305 watches  
-[util](categories/util.md) category, created 2020-04-06, last commit 2022-11-11, main language Python  
+### [diagrams](https://github.com/mingrammer/diagrams) by [mingrammer](https://github.com/mingrammer)  
+diagrams: :art: Diagram as Code for prototyping cloud system architectures  
+[https://diagrams.mingrammer.com](https://diagrams.mingrammer.com)  
+[https://github.com/mingrammer/diagrams](https://github.com/mingrammer/diagrams)  
+173 stars per week over 161 weeks  
+27,950 stars, 1,717 forks, 346 watches  
+[util](categories/util.md) category, created 2020-02-02, last commit 2023-01-13, main language Python  
+<sub><sup>architecture, diagram, diagram-as-code, graphviz</sup></sub>
 
 
-### [kivy](https://github.com/kivy/kivy)  
-kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS  
-[https://kivy.org](https://kivy.org)  
-[https://github.com/kivy/kivy](https://github.com/kivy/kivy)  
-24 stars per week over 631 weeks  
-15,268 stars, 2,961 forks, 616 watches  
-[util](categories/util.md) category, created 2010-11-03, last commit 2022-11-28, main language Python  
-<sub><sup>android, app, ios, kivy, linux, macos, python, ui, windows</sup></sub>
+### [prefect](https://github.com/prefecthq/prefect) by [prefecthq](https://github.com/prefecthq)  
+prefect: The easiest way to coordinate your dataflow  
+[https://prefect.io](https://prefect.io)  
+[https://github.com/prefecthq/prefect](https://github.com/prefecthq/prefect)  
+46 stars per week over 244 weeks  
+11,414 stars, 1,142 forks, 156 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-06-29, last commit 2023-03-03, main language Python  
+<sub><sup>automation, data, data-engineering, data-ops, data-science, infrastructure, ml-ops, observability, orchestration, orion, pipeline, prefect, python, workflow, workflow-engine</sup></sub>
 
 
-### [prophet](https://github.com/facebook/prophet) by [facebook](https://github.com/facebook)  
-prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.  
-[https://facebook.github.io/prophet](https://facebook.github.io/prophet)  
-[https://github.com/facebook/prophet](https://github.com/facebook/prophet)  
-48 stars per week over 316 weeks  
-15,239 stars, 4,336 forks, 426 watches  
-[time-series](categories/time-series.md) category, created 2016-11-16, last commit 2022-09-21, main language Python  
-<sub><sup>forecasting, python, r</sup></sub>
+### [pygwalker](https://github.com/kanaries/pygwalker) by [kanaries](https://github.com/kanaries)  
+PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis  
+[https://github.com/kanaries/pygwalker](https://github.com/kanaries/pygwalker)  
+1698 stars per week over 2 weeks  
+4,124 stars, 107 forks, 20 watches  
+[pandas](categories/pandas.md) category, created 2023-02-16, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>data-analysis, data-exploration, dataframe, pandas, tableau, tableau-alternative, visualization</sup></sub>
 
 
-### [trivy](https://github.com/aquasecurity/trivy) by [aquasecurity](https://github.com/aquasecurity)  
-trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more  
-[https://trivy.dev](https://trivy.dev)  
-[https://github.com/aquasecurity/trivy](https://github.com/aquasecurity/trivy)  
-79 stars per week over 190 weeks  
-15,142 stars, 1,463 forks, 144 watches  
-[security](categories/security.md) category, created 2019-04-11, last commit 2022-12-04, main language Go  
-<sub><sup>containers, devsecops, docker, go, golang, hacktoberfest, iac, infrastructure-as-code, kubernetes, misconfiguration, security, security-tools, vulnerability, vulnerability-detection, vulnerability-scanners</sup></sub>
+### [lama-cleaner](https://github.com/sanster/lama-cleaner) by [sanster](https://github.com/sanster)  
+lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.  
+[https://lama-cleaner-docs.vercel.app/](https://lama-cleaner-docs.vercel.app/)  
+[https://github.com/sanster/lama-cleaner](https://github.com/sanster/lama-cleaner)  
+122 stars per week over 67 weeks  
+8,307 stars, 734 forks, 63 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-11-15, last commit 2023-03-02, main language Python  
+<sub><sup>inpainting, lama, latent-diffusion, mat, pytorch, stable-diffusion, zits</sup></sub>
 
 
-### [faker](https://github.com/joke2k/faker) by [joke2k](https://github.com/joke2k)  
-Faker is a Python package that generates fake data for you.  
-[http://faker.rtfd.org](http://faker.rtfd.org)  
-[https://github.com/joke2k/faker](https://github.com/joke2k/faker)  
-28 stars per week over 525 weeks  
-15,138 stars, 1,702 forks, 222 watches  
-[data](categories/data.md) category, created 2012-11-12, last commit 2022-11-30, main language Python  
-<sub><sup>dataset, fake, fake-data, python, test-data, test-data-generator, testing</sup></sub>
+### [flatbuffers](https://github.com/google/flatbuffers) by [google](https://github.com/google)  
+FlatBuffers: Memory Efficient Serialization Library  
+[http://google.github.io/flatbuffers/](http://google.github.io/flatbuffers/)  
+[https://github.com/google/flatbuffers](https://github.com/google/flatbuffers)  
+43 stars per week over 458 weeks  
+20,000 stars, 3,027 forks, 644 watches  
+[perf](categories/perf.md) category, created 2014-05-19, last commit 2023-03-04, main language C++  
+<sub><sup>c, c-plus-plus, c-sharp, cross-platform, flatbuffers, go, grpc, java, javascript, json-parser, marshalling, mmap, protobuf, python, rpc, rust, serialization, serialization-library, typescript, zero-copy</sup></sub>
 
 
-### [pyscript](https://github.com/pyscript/pyscript)  
-pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples  
-[https://community.anaconda.cloud/c/tech-topics/pyscript](https://community.anaconda.cloud/c/tech-topics/pyscript)  
-[https://github.com/pyscript/pyscript](https://github.com/pyscript/pyscript)  
-364 stars per week over 41 weeks  
-15,047 stars, 1,104 forks, 179 watches  
-[web](categories/web.md) category, created 2022-02-21, last commit 2022-12-06, main language Python  
-<sub><sup>html, javascript, python</sup></sub>
+### [detectron2](https://github.com/facebookresearch/detectron2) by [facebookresearch](https://github.com/facebookresearch)  
+Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.  
+[https://detectron2.readthedocs.io/en/latest/](https://detectron2.readthedocs.io/en/latest/)  
+[https://github.com/facebookresearch/detectron2](https://github.com/facebookresearch/detectron2)  
+130 stars per week over 182 weeks  
+23,740 stars, 6,491 forks, 366 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-09-05, last commit 2023-03-03, main language Python  
 
 
-### [datasets](https://github.com/huggingface/datasets) by [huggingface](https://github.com/huggingface)  
-datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools  
-[https://huggingface.co/docs/datasets](https://huggingface.co/docs/datasets)  
-[https://github.com/huggingface/datasets](https://github.com/huggingface/datasets)  
-105 stars per week over 140 weeks  
-14,856 stars, 1,932 forks, 256 watches  
-[nlp](categories/nlp.md) category, created 2020-03-26, last commit 2022-12-06, main language Python  
-<sub><sup>computer-vision, datasets, deep-learning, evaluation, hacktoberfest, machine-learning, metrics, natural-language-processing, nlp, numpy, pandas, pytorch, speech, tensorflow</sup></sub>
+### [sanic](https://github.com/huge-success/sanic) by [huge-success](https://github.com/huge-success)  
+sanic:  Accelerate your web app development  | Build fast. Run fast.  
+[https://sanic.dev](https://sanic.dev)  
+[https://github.com/huge-success/sanic](https://github.com/huge-success/sanic)  
+47 stars per week over 353 weeks  
+16,886 stars, 1,493 forks, 413 watches  
+[web](categories/web.md) category, created 2016-05-26, last commit 2023-02-27, main language Python  
+<sub><sup>api-server, asgi, asyncio, framework, python, sanic, web, web-framework, web-server</sup></sub>
 
 
-### [mypy](https://github.com/python/mypy) by [python](https://github.com/python)  
-mypy: Optional static typing for Python  
-[http://www.mypy-lang.org/](http://www.mypy-lang.org/)  
-[https://github.com/python/mypy](https://github.com/python/mypy)  
-27 stars per week over 521 weeks  
-14,283 stars, 2,374 forks, 223 watches  
-[typing](categories/typing.md) category, created 2012-12-07, last commit 2022-12-06, main language Python  
-<sub><sup>linter, python, typechecker, types, typing</sup></sub>
+### [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
+sqlalchemy: The Database Toolkit for Python  
+[https://www.sqlalchemy.org](https://www.sqlalchemy.org)  
+[https://github.com/sqlalchemy/sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
+30 stars per week over 222 weeks  
+6,870 stars, 1,087 forks, 90 watches  
+[data](categories/data.md) category, created 2018-11-27, last commit 2023-03-03, main language Python  
+<sub><sup>python, sql, sqlalchemy</sup></sub>
 
 
-### [twint](https://github.com/twintproject/twint) by [twintproject](https://github.com/twintproject)  
-twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.  
-[https://github.com/twintproject/twint](https://github.com/twintproject/twint)  
-49 stars per week over 286 weeks  
-14,151 stars, 2,429 forks, 310 watches  
-[data](categories/data.md) category, created 2017-06-10, last commit 2021-03-02, main language Python  
-<sub><sup>elasticsearch, kibana, osint, python, scrape, scrape-followers, scrape-following, scrape-likes, tweep, tweets, twint, twitter</sup></sub>
+### [fairseq](https://github.com/pytorch/fairseq) by [pytorch](https://github.com/pytorch)  
+fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.  
+[https://github.com/pytorch/fairseq](https://github.com/pytorch/fairseq)  
+73 stars per week over 287 weeks  
+21,071 stars, 5,271 forks, 358 watches  
+[nlp](categories/nlp.md) category, created 2017-08-29, last commit 2023-02-23, main language Python  
+<sub><sup>artificial-intelligence, python, pytorch</sup></sub>
 
 
-### [gensim](https://github.com/rare-technologies/gensim) by [rare-technologies](https://github.com/rare-technologies)  
-gensim: Topic Modelling for Humans  
-[https://radimrehurek.com/gensim](https://radimrehurek.com/gensim)  
-[https://github.com/rare-technologies/gensim](https://github.com/rare-technologies/gensim)  
-22 stars per week over 616 weeks  
-13,764 stars, 4,294 forks, 432 watches  
-[nlp](categories/nlp.md) category, created 2011-02-10, last commit 2022-12-07, main language Python  
-<sub><sup>data-mining, data-science, document-similarity, fasttext, gensim, information-retrieval, machine-learning, natural-language-processing, neural-network, nlp, python, topic-modeling, word-embeddings, word-similarity, word2vec</sup></sub>
+### [pyright](https://github.com/microsoft/pyright) by [microsoft](https://github.com/microsoft)  
+pyright: Static type checker for Python  
+[https://github.com/microsoft/pyright](https://github.com/microsoft/pyright)  
+47 stars per week over 207 weeks  
+9,793 stars, 849 forks, 94 watches  
+[typing](categories/typing.md) category, created 2019-03-12, last commit 2023-03-04, main language Python  
 
 
-### [onnx](https://github.com/onnx/onnx)  
-onnx: Open standard for machine learning interoperability  
-[https://onnx.ai/](https://onnx.ai/)  
-[https://github.com/onnx/onnx](https://github.com/onnx/onnx)  
-50 stars per week over 273 weeks  
-13,753 stars, 3,199 forks, 430 watches  
-[ml](categories/ml.md) category, created 2017-09-07, last commit 2022-11-29, main language Python  
-<sub><sup>deep-learning, deep-neural-networks, dnn, keras, machine-learning, ml, mxnet, neural-network, onnx, pytorch, scikit-learn, tensorflow</sup></sub>
+### [pyodide](https://github.com/pyodide/pyodide)  
+Pyodide is a Python distribution for the browser and Node.js based on WebAssembly  
+[https://pyodide.org/en/stable/](https://pyodide.org/en/stable/)  
+[https://github.com/pyodide/pyodide](https://github.com/pyodide/pyodide)  
+36 stars per week over 262 weeks  
+9,680 stars, 630 forks, 126 watches  
+[util](categories/util.md) category, created 2018-02-23, last commit 2023-03-04, main language Python  
+<sub><sup>python, webassembly</sup></sub>
 
 
-### [ml-agents](https://github.com/unity-technologies/ml-agents) by [unity-technologies](https://github.com/unity-technologies)  
-ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.  
-[https://unity.com/products/machine-learning-agents](https://unity.com/products/machine-learning-agents)  
-[https://github.com/unity-technologies/ml-agents](https://github.com/unity-technologies/ml-agents)  
-50 stars per week over 273 weeks  
-13,737 stars, 3,625 forks, 539 watches  
-[sim](categories/sim.md) category, created 2017-09-08, last commit 2022-12-05, main language C#  
-<sub><sup>deep-learning, deep-reinforcement-learning, machine-learning, neural-networks, reinforcement-learning, unity, unity3d</sup></sub>
+### [scipy](https://github.com/scipy/scipy)  
+SciPy library main repository  
+[https://scipy.org](https://scipy.org)  
+[https://github.com/scipy/scipy](https://github.com/scipy/scipy)  
+17 stars per week over 625 weeks  
+10,895 stars, 4,616 forks, 343 watches  
+[ml](categories/ml.md) category, created 2011-03-09, last commit 2023-03-04, main language Python  
+<sub><sup>algorithms, closember, python, scientific-computing, scipy</sup></sub>
 
 
-### [loguru](https://github.com/delgan/loguru) by [delgan](https://github.com/delgan)  
-loguru: Python logging made (stupidly) simple  
-[https://github.com/delgan/loguru](https://github.com/delgan/loguru)  
-48 stars per week over 277 weeks  
-13,525 stars, 569 forks, 119 watches  
-[util](categories/util.md) category, created 2017-08-15, last commit 2022-12-02, main language Python  
-<sub><sup>log, logger, logging, python</sup></sub>
+### [bokeh](https://github.com/bokeh/bokeh)  
+bokeh: Interactive Data Visualization in the browser, from  Python  
+[https://bokeh.org](https://bokeh.org)  
+[https://github.com/bokeh/bokeh](https://github.com/bokeh/bokeh)  
+30 stars per week over 570 weeks  
+17,285 stars, 4,038 forks, 449 watches  
+[viz](categories/viz.md) category, created 2012-03-26, last commit 2023-03-03, main language Python  
+<sub><sup>bokeh, data-visualisation, interactive-plots, javascript, jupyter, notebooks, numfocus, plots, plotting, python, visualisation, visualization</sup></sub>
 
 
-### [dalle-mini](https://github.com/borisdayma/dalle-mini) by [borisdayma](https://github.com/borisdayma)  
-dalle-mini: DALL·E Mini - Generate images from a text prompt  
-[https://www.craiyon.com](https://www.craiyon.com)  
-[https://github.com/borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini)  
-179 stars per week over 74 weeks  
-13,392 stars, 1,006 forks, 105 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-07-03, last commit 2022-11-09, main language Python  
+### [mypy](https://github.com/python/mypy) by [python](https://github.com/python)  
+mypy: Optional static typing for Python  
+[https://www.mypy-lang.org/](https://www.mypy-lang.org/)  
+[https://github.com/python/mypy](https://github.com/python/mypy)  
+27 stars per week over 534 weeks  
+14,936 stars, 2,463 forks, 228 watches  
+[typing](categories/typing.md) category, created 2012-12-07, last commit 2023-03-03, main language Python  
+<sub><sup>linter, python, typechecker, types, typing</sup></sub>
 
 
-### [click](https://github.com/pallets/click) by [pallets](https://github.com/pallets)  
-click: Python composable command line interface toolkit  
-[https://click.palletsprojects.com](https://click.palletsprojects.com)  
-[https://github.com/pallets/click](https://github.com/pallets/click)  
-29 stars per week over 449 weeks  
-13,247 stars, 1,298 forks, 181 watches  
-[term](categories/term.md) category, created 2014-04-24, last commit 2022-11-01, main language Python  
-<sub><sup>cli, click, pallets, python</sup></sub>
+### [sktime](https://github.com/sktime/sktime)  
+sktime: A unified framework for machine learning with time series  
+[https://www.sktime.net](https://www.sktime.net)  
+[https://github.com/sktime/sktime](https://github.com/sktime/sktime)  
+27 stars per week over 225 weeks  
+6,216 stars, 1,032 forks, 107 watches  
+[time-series](categories/time-series.md) category, created 2018-11-06, last commit 2023-03-02, main language Python  
+<sub><sup>data-mining, data-science, forecasting, machine-learning, scikit-learn, time-series, time-series-analysis, time-series-classification, time-series-regression</sup></sub>
 
 
-### [imgaug](https://github.com/aleju/imgaug) by [aleju](https://github.com/aleju)  
-imgaug: Image augmentation for machine learning experiments.  
-[http://imgaug.readthedocs.io](http://imgaug.readthedocs.io)  
-[https://github.com/aleju/imgaug](https://github.com/aleju/imgaug)  
-34 stars per week over 386 weeks  
-13,162 stars, 2,334 forks, 228 watches  
-[ml](categories/ml.md) category, created 2015-07-10, last commit 2020-06-01, main language Python  
-<sub><sup>affine-transformation, augment-images, augmentation, bounding-boxes, contrast, crop, deep-learning, heatmap, image-augmentation, images, keypoints, machine-learning, polygon, segmentation-maps</sup></sub>
+### [DeepSpeed](https://github.com/microsoft/deepspeed) by [microsoft](https://github.com/microsoft)  
+DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.  
+[https://www.deepspeed.ai/](https://www.deepspeed.ai/)  
+[https://github.com/microsoft/deepspeed](https://github.com/microsoft/deepspeed)  
+56 stars per week over 162 weeks  
+9,202 stars, 1,106 forks, 146 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-01-23, last commit 2023-03-01, main language Python  
+<sub><sup>billion-parameters, compression, data-parallelism, deep-learning, gpu, inference, machine-learning, mixture-of-experts, model-parallelism, pipeline-parallelism, pytorch, trillion-parameters, zero</sup></sub>
 
 
-### [mlflow](https://github.com/mlflow/mlflow)  
-mlflow: Open source platform for the machine learning lifecycle  
-[https://mlflow.org](https://mlflow.org)  
-[https://github.com/mlflow/mlflow](https://github.com/mlflow/mlflow)  
-55 stars per week over 235 weeks  
-13,162 stars, 3,070 forks, 286 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-06-05, last commit 2022-12-07, main language Python  
-<sub><sup>ai, apache-spark, machine-learning, ml, mlflow, model-management</sup></sub>
+### [faceswap](https://github.com/deepfakes/faceswap) by [deepfakes](https://github.com/deepfakes)  
+faceswap: Deepfakes Software For All  
+[https://www.faceswap.dev](https://www.faceswap.dev)  
+[https://github.com/deepfakes/faceswap](https://github.com/deepfakes/faceswap)  
+161 stars per week over 271 weeks  
+43,839 stars, 12,151 forks, 1,504 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-12-19, last commit 2023-02-24, main language Python  
+<sub><sup>deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, myfakeapp, neural-nets, neural-networks, openfaceswap</sup></sub>
 
 
-### [aiohttp](https://github.com/aio-libs/aiohttp) by [aio-libs](https://github.com/aio-libs)  
-aiohttp: Asynchronous HTTP client/server framework for asyncio and Python  
-[https://docs.aiohttp.org](https://docs.aiohttp.org)  
-[https://github.com/aio-libs/aiohttp](https://github.com/aio-libs/aiohttp)  
-27 stars per week over 479 weeks  
-13,079 stars, 1,833 forks, 228 watches  
-[web](categories/web.md) category, created 2013-10-01, last commit 2022-12-05, main language Python  
-<sub><sup>aiohttp, async, asyncio, hacktoberfest, http, http-client, http-server, python</sup></sub>
+### [llama](https://github.com/facebookresearch/llama) by [facebookresearch](https://github.com/facebookresearch)  
+llama: Inference code for LLaMA models  
+[https://github.com/facebookresearch/llama](https://github.com/facebookresearch/llama)  
+2540 stars per week over 2 weeks  
+6,895 stars, 708 forks, 87 watches  
+[nlp](categories/nlp.md) category, created 2023-02-14, last commit 2023-03-04, main language Python  
 
 
-### [horovod](https://github.com/horovod/horovod)  
-horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.  
-[http://horovod.ai](http://horovod.ai)  
-[https://github.com/horovod/horovod](https://github.com/horovod/horovod)  
-46 stars per week over 278 weeks  
-12,875 stars, 2,143 forks, 331 watches  
-[ml-ops](categories/ml-ops.md) category, created 2017-08-09, last commit 2022-11-30, main language Python  
-<sub><sup>baidu, deep-learning, deeplearning, keras, machine-learning, machinelearning, mpi, mxnet, pytorch, ray, spark, tensorflow, uber</sup></sub>
+### [dvc](https://github.com/iterative/dvc) by [iterative](https://github.com/iterative)  
+dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management  
+[https://dvc.org](https://dvc.org)  
+[https://github.com/iterative/dvc](https://github.com/iterative/dvc)  
+35 stars per week over 313 weeks  
+11,169 stars, 1,034 forks, 135 watches  
+[data](categories/data.md) category, created 2017-03-04, last commit 2023-03-04, main language Python  
+<sub><sup>ai, collaboration, data-science, data-version-control, developer-tools, git, hacktoberfest, machine-learning, python, reproducibility</sup></sub>
 
 
-### [tensor2tensor](https://github.com/tensorflow/tensor2tensor) by [tensorflow](https://github.com/tensorflow)  
-tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  
-[https://github.com/tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)  
-44 stars per week over 285 weeks  
-12,814 stars, 3,145 forks, 457 watches  
-[ml](categories/ml.md) category, created 2017-06-15, last commit 2022-10-24, main language Python  
-<sub><sup>deep-learning, machine-learning, machine-translation, reinforcement-learning, tpu</sup></sub>
+### [dagster](https://github.com/dagster-io/dagster) by [dagster-io](https://github.com/dagster-io)  
+dagster: An orchestration platform for the development, production, and observation of data assets.  
+[https://dagster.io](https://dagster.io)  
+[https://github.com/dagster-io/dagster](https://github.com/dagster-io/dagster)  
+26 stars per week over 252 weeks  
+6,671 stars, 841 forks, 92 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-04-30, last commit 2023-03-03, main language Python  
+<sub><sup>analytics, dagster, data-engineering, data-integration, data-orchestrator, data-pipelines, data-science, etl, metadata, mlops, orchestration, python, scheduler, workflow, workflow-automation</sup></sub>
 
 
-### [ChatterBot](https://github.com/gunthercox/chatterbot) by [gunthercox](https://github.com/gunthercox)  
-ChatterBot is a machine learning, conversational dialog engine for creating chat bots  
-[https://chatterbot.readthedocs.io](https://chatterbot.readthedocs.io)  
-[https://github.com/gunthercox/chatterbot](https://github.com/gunthercox/chatterbot)  
-29 stars per week over 427 weeks  
-12,704 stars, 4,181 forks, 553 watches  
-[nlp](categories/nlp.md) category, created 2014-09-28, last commit 2021-06-01, main language Python  
-<sub><sup>bot, chatbot, chatterbot, conversation, language, machine-learning, python</sup></sub>
+### [AITemplate](https://github.com/facebookincubator/aitemplate) by [facebookincubator](https://github.com/facebookincubator)  
+AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.  
+[https://github.com/facebookincubator/aitemplate](https://github.com/facebookincubator/aitemplate)  
+89 stars per week over 33 weeks  
+2,979 stars, 238 forks, 77 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-07-15, last commit 2023-03-04, main language Python  
 
 
-### [plotly.py](https://github.com/plotly/plotly.py) by [plotly](https://github.com/plotly)  
-plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:  
-[https://plotly.com/python/](https://plotly.com/python/)  
-[https://github.com/plotly/plotly.py](https://github.com/plotly/plotly.py)  
-26 stars per week over 471 weeks  
-12,566 stars, 2,248 forks, 274 watches  
-[viz](categories/viz.md) category, created 2013-11-21, last commit 2022-10-27, main language Python  
-<sub><sup>d3, dashboard, declarative, graph-library, interactive, jupyter-notebook, plotly, plotly-dash, plotlyjs, python, regl, sparkles, visualization, webgl</sup></sub>
+### [dalle-mini](https://github.com/borisdayma/dalle-mini) by [borisdayma](https://github.com/borisdayma)  
+dalle-mini: DALL·E Mini - Generate images from a text prompt  
+[https://www.craiyon.com](https://www.craiyon.com)  
+[https://github.com/borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini)  
+157 stars per week over 87 weeks  
+13,731 stars, 1,062 forks, 102 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-07-03, last commit 2023-02-10, main language Python  
 
 
-### [jupyterlab](https://github.com/jupyterlab/jupyterlab)  
-JupyterLab computational environment.  
-[https://jupyterlab.readthedocs.io/](https://jupyterlab.readthedocs.io/)  
-[https://github.com/jupyterlab/jupyterlab](https://github.com/jupyterlab/jupyterlab)  
-36 stars per week over 339 weeks  
-12,496 stars, 2,506 forks, 312 watches  
-[jupyter](categories/jupyter.md) category, created 2016-06-03, last commit 2022-12-06, main language TypeScript  
-<sub><sup>jupyter, jupyterlab</sup></sub>
+### [optuna](https://github.com/optuna/optuna)  
+optuna: A hyperparameter optimization framework  
+[https://optuna.org](https://optuna.org)  
+[https://github.com/optuna/optuna](https://github.com/optuna/optuna)  
+29 stars per week over 262 weeks  
+7,685 stars, 811 forks, 123 watches  
+[ml](categories/ml.md) category, created 2018-02-21, last commit 2023-03-03, main language Python  
+<sub><sup>distributed, hacktoberfest, hyperparameter-optimization, machine-learning, parallel, python</sup></sub>
 
 
-### [nni](https://github.com/microsoft/nni) by [microsoft](https://github.com/microsoft)  
-nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.  
-[https://nni.readthedocs.io](https://nni.readthedocs.io)  
-[https://github.com/microsoft/nni](https://github.com/microsoft/nni)  
-52 stars per week over 235 weeks  
-12,291 stars, 1,725 forks, 281 watches  
-[ml](categories/ml.md) category, created 2018-06-01, last commit 2022-12-07, main language Python  
-<sub><sup>automated-machine-learning, automl, bayesian-optimization, data-science, deep-learning, deep-neural-network, distributed, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, mlops, model-compression, nas, neural-architecture-search, neural-network, python, pytorch, tensorflow</sup></sub>
+### [dask](https://github.com/dask/dask)  
+dask: Parallel computing with task scheduling  
+[https://dask.org](https://dask.org)  
+[https://github.com/dask/dask](https://github.com/dask/dask)  
+25 stars per week over 426 weeks  
+10,772 stars, 1,598 forks, 216 watches  
+[perf](categories/perf.md) category, created 2015-01-04, last commit 2023-03-03, main language Python  
+<sub><sup>dask, numpy, pandas, pydata, python, scikit-learn, scipy</sup></sub>
 
 
-### [flair](https://github.com/flairnlp/flair) by [flairnlp](https://github.com/flairnlp)  
-flair: A very simple framework for state-of-the-art Natural Language Processing (NLP)  
-[https://github.com/flairnlp/flair](https://github.com/flairnlp/flair)  
-52 stars per week over 234 weeks  
-12,280 stars, 1,972 forks, 204 watches  
-[nlp](categories/nlp.md) category, created 2018-06-11, last commit 2022-12-06, main language Python  
-<sub><sup>machine-learning, named-entity-recognition, natural-language-processing, nlp, pytorch, semantic-role-labeling, sequence-labeling, word-embeddings</sup></sub>
+### [mkdocs-material](https://github.com/squidfunk/mkdocs-material) by [squidfunk](https://github.com/squidfunk)  
+mkdocs-material: Documentation that simply works  
+[https://squidfunk.github.io/mkdocs-material/](https://squidfunk.github.io/mkdocs-material/)  
+[https://github.com/squidfunk/mkdocs-material](https://github.com/squidfunk/mkdocs-material)  
+34 stars per week over 370 weeks  
+12,958 stars, 2,831 forks, 112 watches  
+[util](categories/util.md) category, created 2016-01-28, last commit 2023-03-03, main language TypeScript  
+<sub><sup>documentation, material-design, mkdocs, static, template, theme</sup></sub>
 
 
-### [pybind11](https://github.com/pybind/pybind11) by [pybind](https://github.com/pybind)  
-pybind11: Seamless operability between C++11 and Python  
-[https://pybind11.readthedocs.io/](https://pybind11.readthedocs.io/)  
-[https://github.com/pybind/pybind11](https://github.com/pybind/pybind11)  
-30 stars per week over 387 weeks  
-11,937 stars, 1,727 forks, 247 watches  
-[perf](categories/perf.md) category, created 2015-07-05, last commit 2022-12-07, main language C++  
-<sub><sup>bindings, python</sup></sub>
-
-
-### [mkdocs-material](https://github.com/squidfunk/mkdocs-material) by [squidfunk](https://github.com/squidfunk)  
-mkdocs-material: Documentation that simply works  
-[https://squidfunk.github.io/mkdocs-material/](https://squidfunk.github.io/mkdocs-material/)  
-[https://github.com/squidfunk/mkdocs-material](https://github.com/squidfunk/mkdocs-material)  
-33 stars per week over 357 weeks  
-11,935 stars, 2,641 forks, 112 watches  
-[util](categories/util.md) category, created 2016-01-28, last commit 2022-12-07, main language TypeScript  
-<sub><sup>documentation, material-design, mkdocs, static, template, theme</sup></sub>
+### [DALLE2-pytorch](https://github.com/lucidrains/dalle2-pytorch) by [lucidrains](https://github.com/lucidrains)  
+DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch  
+[https://github.com/lucidrains/dalle2-pytorch](https://github.com/lucidrains/dalle2-pytorch)  
+190 stars per week over 47 weeks  
+9,043 stars, 787 forks, 123 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-04-07, last commit 2023-02-12, main language Python  
+<sub><sup>artificial-intelligence, deep-learning, text-to-image</sup></sub>
 
 
-### [networkx](https://github.com/networkx/networkx)  
-networkx: Network Analysis in Python  
-[https://networkx.org](https://networkx.org)  
-[https://github.com/networkx/networkx](https://github.com/networkx/networkx)  
-18 stars per week over 639 weeks  
-11,918 stars, 2,797 forks, 276 watches  
-[graph](categories/graph.md) category, created 2010-09-06, last commit 2022-12-06, main language Python  
-<sub><sup>complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, python</sup></sub>
+### [nebullvm](https://github.com/nebuly-ai/nebullvm) by [nebuly-ai](https://github.com/nebuly-ai)  
+nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀  
+[https://www.nebuly.com/](https://www.nebuly.com/)  
+[https://github.com/nebuly-ai/nebullvm](https://github.com/nebuly-ai/nebullvm)  
+92 stars per week over 55 weeks  
+5,100 stars, 328 forks, 64 watches  
+[perf](categories/perf.md) category, created 2022-02-12, last commit 2023-03-03, main language Python  
+<sub><sup>compiler, computing, deep-learning, edge-computing, gpu, huggingface, inference, machine-learning, neural-network, onnx, openvino, optimization, pypi, pytorch, quantization, tensorflow, tensorrt, transformers, tvm</sup></sub>
 
 
-### [pydantic](https://github.com/samuelcolvin/pydantic) by [samuelcolvin](https://github.com/samuelcolvin)  
-pydantic: Data parsing and validation using Python type hints  
-[https://docs.pydantic.dev](https://docs.pydantic.dev)  
-[https://github.com/samuelcolvin/pydantic](https://github.com/samuelcolvin/pydantic)  
-40 stars per week over 292 weeks  
-11,851 stars, 1,103 forks, 89 watches  
-[util](categories/util.md) category, created 2017-05-03, last commit 2022-12-06, main language Python  
-<sub><sup>hints, json-schema, parsing, pydantic, python, python310, python311, python37, python38, python39, validation</sup></sub>
+### [locust](https://github.com/locustio/locust) by [locustio](https://github.com/locustio)  
+locust: Scalable load testing tool written in Python  
+[https://github.com/locustio/locust](https://github.com/locustio/locust)  
+33 stars per week over 628 weeks  
+20,788 stars, 2,648 forks, 433 watches  
+[testing](categories/testing.md) category, created 2011-02-17, last commit 2023-03-04, main language Python  
+<sub><sup>benchmarking, http, load-generator, load-testing, locust, performance-testing, python</sup></sub>
 
 
-### [allennlp](https://github.com/allenai/allennlp) by [allenai](https://github.com/allenai)  
-allennlp: An open-source NLP research library, built on PyTorch.  
-[http://www.allennlp.org](http://www.allennlp.org)  
-[https://github.com/allenai/allennlp](https://github.com/allenai/allennlp)  
-38 stars per week over 290 weeks  
-11,320 stars, 2,230 forks, 280 watches  
-[nlp](categories/nlp.md) category, created 2017-05-15, last commit 2022-11-22, main language Python  
-<sub><sup>data-science, deep-learning, natural-language-processing, nlp, python, pytorch</sup></sub>
+### [EasyOCR](https://github.com/jaidedai/easyocr) by [jaidedai](https://github.com/jaidedai)  
+EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.  
+[https://www.jaided.ai](https://www.jaided.ai)  
+[https://github.com/jaidedai/easyocr](https://github.com/jaidedai/easyocr)  
+110 stars per week over 155 weeks  
+17,157 stars, 2,483 forks, 283 watches  
+[data](categories/data.md) category, created 2020-03-14, last commit 2023-01-06, main language Python  
+<sub><sup>cnn, crnn, data-mining, deep-learning, easyocr, image-processing, information-retrieval, lstm, machine-learning, ocr, optical-character-recognition, python, pytorch, scene-text, scene-text-recognition</sup></sub>
 
 
-### [nltk](https://github.com/nltk/nltk)  
-NLTK Source  
-[https://www.nltk.org](https://www.nltk.org)  
-[https://github.com/nltk/nltk](https://github.com/nltk/nltk)  
-16 stars per week over 691 weeks  
-11,291 stars, 2,665 forks, 469 watches  
-[nlp](categories/nlp.md) category, created 2009-09-07, last commit 2022-12-07, main language Python  
-<sub><sup>machine-learning, natural-language-processing, nlp, nltk, python</sup></sub>
+### [great_expectations](https://github.com/great-expectations/great_expectations) by [great-expectations](https://github.com/great-expectations)  
+great_expectations: Always know what to expect from your data.  
+[https://docs.greatexpectations.io/](https://docs.greatexpectations.io/)  
+[https://github.com/great-expectations/great_expectations](https://github.com/great-expectations/great_expectations)  
+28 stars per week over 285 weeks  
+8,050 stars, 1,249 forks, 71 watches  
+[ml-ops](categories/ml-ops.md) category, created 2017-09-11, last commit 2023-03-03, main language Python  
+<sub><sup>cleandata, data-engineering, data-profilers, data-profiling, data-quality, data-science, data-unit-tests, datacleaner, datacleaning, dataquality, dataunittest, eda, exploratory-analysis, exploratory-data-analysis, exploratorydataanalysis, mlops, pipeline, pipeline-debt, pipeline-testing, pipeline-tests</sup></sub>
 
 
-### [albumentations](https://github.com/albumentations-team/albumentations) by [albumentations-team](https://github.com/albumentations-team)  
-albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125  
-[https://albumentations.ai](https://albumentations.ai)  
-[https://github.com/albumentations-team/albumentations](https://github.com/albumentations-team/albumentations)  
-47 stars per week over 235 weeks  
-11,273 stars, 1,442 forks, 124 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-06-06, last commit 2022-11-24, main language Python  
-<sub><sup>augmentation, deep-learning, detection, fast-augmentations, image-augmentation, image-classification, image-processing, image-segmentation, machine-learning, object-detection, python, segmentation</sup></sub>
+### [GFPGAN](https://github.com/tencentarc/gfpgan) by [tencentarc](https://github.com/tencentarc)  
+GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.  
+[https://github.com/tencentarc/gfpgan](https://github.com/tencentarc/gfpgan)  
+263 stars per week over 102 weeks  
+26,952 stars, 4,156 forks, 395 watches  
+[ml](categories/ml.md) category, created 2021-03-19, last commit 2022-09-16, main language Python  
+<sub><sup>deep-learning, face-restoration, gan, gfpgan, image-restoration, pytorch, super-resolution</sup></sub>
 
 
-### [deepmind-research](https://github.com/deepmind/deepmind-research) by [deepmind](https://github.com/deepmind)  
-deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications  
-[https://github.com/deepmind/deepmind-research](https://github.com/deepmind/deepmind-research)  
-54 stars per week over 203 weeks  
-11,153 stars, 2,291 forks, 322 watches  
-[ml](categories/ml.md) category, created 2019-01-15, last commit 2022-10-24, main language Jupyter Notebook  
+### [notebook](https://github.com/jupyter/notebook) by [jupyter](https://github.com/jupyter)  
+notebook: Jupyter Interactive Notebook  
+[https://jupyter-notebook.readthedocs.io/](https://jupyter-notebook.readthedocs.io/)  
+[https://github.com/jupyter/notebook](https://github.com/jupyter/notebook)  
+23 stars per week over 412 weeks  
+9,808 stars, 4,017 forks, 321 watches  
+[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>closember, jupyter, jupyter-notebook, notebook</sup></sub>
 
 
-### [gradio](https://github.com/gradio-app/gradio) by [gradio-app](https://github.com/gradio-app)  
-gradio: Create UIs for your machine learning model in Python in 3 minutes  
-[http://www.gradio.app](http://www.gradio.app)  
-[https://github.com/gradio-app/gradio](https://github.com/gradio-app/gradio)  
-53 stars per week over 207 weeks  
-11,064 stars, 697 forks, 87 watches  
-[viz](categories/viz.md) category, created 2018-12-19, last commit 2022-12-04, main language HTML  
-<sub><sup>data-analysis, data-science, data-visualization, deep-learning, deploy, gradio, gradio-interface, interface, machine-learning, models, python, python-notebook, ui, ui-components</sup></sub>
+### [flair](https://github.com/flairnlp/flair) by [flairnlp](https://github.com/flairnlp)  
+flair: A very simple framework for state-of-the-art Natural Language Processing (NLP)  
+[https://github.com/flairnlp/flair](https://github.com/flairnlp/flair)  
+50 stars per week over 246 weeks  
+12,538 stars, 1,999 forks, 202 watches  
+[nlp](categories/nlp.md) category, created 2018-06-11, last commit 2023-03-03, main language Python  
+<sub><sup>machine-learning, named-entity-recognition, natural-language-processing, nlp, pytorch, semantic-role-labeling, sequence-labeling, word-embeddings</sup></sub>
 
 
 ### [PySimpleGUI](https://github.com/pysimplegui/pysimplegui) by [pysimplegui](https://github.com/pysimplegui)  
-PySimpleGUI: Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive documentation.  Examples for Machine Learning(OpenCV Integration,  Chatterbot), Rainmeter-like Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs -  PySimpleGUI.org GitHub - PySimpleGUI.com. The Minecraft of GUIs - simple to complex... does them all.  
+PySimpleGUI: Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs  
 [https://github.com/pysimplegui/pysimplegui](https://github.com/pysimplegui/pysimplegui)  
-47 stars per week over 230 weeks  
-10,910 stars, 1,623 forks, 219 watches  
-[gui](categories/gui.md) category, created 2018-07-11, last commit 2022-12-04, main language Python  
+46 stars per week over 242 weeks  
+11,304 stars, 1,684 forks, 218 watches  
+[gui](categories/gui.md) category, created 2018-07-11, last commit 2023-03-01, main language Python  
 <sub><sup>beginner-friendly, datavisualization, games, gui, gui-framework, gui-programming, gui-window, pyside2, pysimplegui, python, python-gui, qt, qt-gui, remi, systemtray, tkinter, tkinter-gui, tkinter-python, user-interface, wxpython</sup></sub>
 
 
-### [dgl](https://github.com/dmlc/dgl) by [dmlc](https://github.com/dmlc)  
-dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.  
-[http://dgl.ai](http://dgl.ai)  
-[https://github.com/dmlc/dgl](https://github.com/dmlc/dgl)  
-44 stars per week over 241 weeks  
-10,816 stars, 2,633 forks, 175 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-04-20, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, graph-neural-networks</sup></sub>
-
-
-### [arrow](https://github.com/apache/arrow) by [apache](https://github.com/apache)  
-arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing  
-[https://arrow.apache.org/](https://arrow.apache.org/)  
-[https://github.com/apache/arrow](https://github.com/apache/arrow)  
-30 stars per week over 355 weeks  
-10,747 stars, 2,638 forks, 345 watches  
-[data](categories/data.md) category, created 2016-02-17, last commit 2022-12-07, main language C++  
-<sub><sup>arrow</sup></sub>
+### [mxnet](https://github.com/apache/incubator-mxnet) by [apache](https://github.com/apache)  
+mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more  
+[https://mxnet.apache.org](https://mxnet.apache.org)  
+[https://github.com/apache/incubator-mxnet](https://github.com/apache/incubator-mxnet)  
+49 stars per week over 409 weeks  
+20,272 stars, 6,872 forks, 1,087 watches  
+[ml-dl](categories/ml-dl.md) category, created 2015-04-30, last commit 2023-01-26, main language C++  
+<sub><sup>mxnet</sup></sub>
 
 
-### [dvc](https://github.com/iterative/dvc) by [iterative](https://github.com/iterative)  
-dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management  
-[https://dvc.org](https://dvc.org)  
-[https://github.com/iterative/dvc](https://github.com/iterative/dvc)  
-35 stars per week over 300 weeks  
-10,746 stars, 1,006 forks, 136 watches  
-[data](categories/data.md) category, created 2017-03-04, last commit 2022-12-07, main language Python  
-<sub><sup>ai, collaboration, data-science, data-version-control, developer-tools, git, hacktoberfest, machine-learning, python, reproducibility</sup></sub>
+### [sympy](https://github.com/sympy/sympy)  
+sympy: A computer algebra system written in pure Python  
+[https://sympy.org/](https://sympy.org/)  
+[https://github.com/sympy/sympy](https://github.com/sympy/sympy)  
+15 stars per week over 670 weeks  
+10,361 stars, 3,882 forks, 287 watches  
+[math](categories/math.md) category, created 2010-04-30, last commit 2023-03-04, main language Python  
+<sub><sup>computer-algebra, hacktoberfest, math, python, science</sup></sub>
 
 
-### [prefect](https://github.com/prefecthq/prefect) by [prefecthq](https://github.com/prefecthq)  
-prefect: The easiest way to coordinate your dataflow  
-[https://prefect.io](https://prefect.io)  
-[https://github.com/prefecthq/prefect](https://github.com/prefecthq/prefect)  
-45 stars per week over 231 weeks  
-10,618 stars, 1,069 forks, 153 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-06-29, last commit 2022-12-06, main language Python  
-<sub><sup>automation, data, data-engineering, data-ops, data-science, infrastructure, ml-ops, observability, orchestration, orion, pipeline, prefect, python, workflow, workflow-engine</sup></sub>
+### [stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos) by [nateraw](https://github.com/nateraw)  
+stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts  
+[https://github.com/nateraw/stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos)  
+84 stars per week over 25 weeks  
+2,183 stars, 214 forks, 28 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2023-02-18, main language Python  
+<sub><sup>ai-art, huggingface, huggingface-diffusers, machine-learning, stable-diffusion</sup></sub>
 
 
-### [scipy](https://github.com/scipy/scipy)  
-SciPy library main repository  
-[https://scipy.org](https://scipy.org)  
-[https://github.com/scipy/scipy](https://github.com/scipy/scipy)  
-17 stars per week over 613 weeks  
-10,560 stars, 4,498 forks, 339 watches  
-[ml](categories/ml.md) category, created 2011-03-09, last commit 2022-12-07, main language Python  
-<sub><sup>algorithms, closember, python, scientific-computing, scipy</sup></sub>
+### [Real-ESRGAN](https://github.com/xinntao/real-esrgan) by [xinntao](https://github.com/xinntao)  
+Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.  
+[https://github.com/xinntao/real-esrgan](https://github.com/xinntao/real-esrgan)  
+217 stars per week over 84 weeks  
+18,447 stars, 1,993 forks, 188 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-07-19, last commit 2022-09-20, main language Python  
+<sub><sup>amine, denoise, esrgan, image-restoration, jpeg-compression, pytorch, real-esrgan, super-resolution</sup></sub>
 
 
-### [annoy](https://github.com/spotify/annoy) by [spotify](https://github.com/spotify)  
-annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk  
-[https://github.com/spotify/annoy](https://github.com/spotify/annoy)  
-20 stars per week over 505 weeks  
-10,540 stars, 1,062 forks, 325 watches  
-[ml](categories/ml.md) category, created 2013-04-01, last commit 2022-10-27, main language C++  
-<sub><sup>approximate-nearest-neighbor-search, c-plus-plus, golang, locality-sensitive-hashing, lua, nearest-neighbor-search, python</sup></sub>
+### [faker](https://github.com/joke2k/faker) by [joke2k](https://github.com/joke2k)  
+Faker is a Python package that generates fake data for you.  
+[https://faker.readthedocs.io](https://faker.readthedocs.io)  
+[https://github.com/joke2k/faker](https://github.com/joke2k/faker)  
+28 stars per week over 537 weeks  
+15,469 stars, 1,728 forks, 222 watches  
+[data](categories/data.md) category, created 2012-11-12, last commit 2023-03-03, main language Python  
+<sub><sup>dataset, fake, fake-data, python, test-data, test-data-generator, testing</sup></sub>
 
 
-### [dask](https://github.com/dask/dask)  
-dask: Parallel computing with task scheduling  
-[https://dask.org](https://dask.org)  
-[https://github.com/dask/dask](https://github.com/dask/dask)  
-25 stars per week over 413 weeks  
-10,538 stars, 1,567 forks, 217 watches  
-[perf](categories/perf.md) category, created 2015-01-04, last commit 2022-12-06, main language Python  
-<sub><sup>dask, numpy, pandas, pydata, python, scikit-learn, scipy</sup></sub>
+### [celery](https://github.com/celery/celery)  
+celery: Distributed Task Queue (development branch)  
+[https://docs.celeryq.dev](https://docs.celeryq.dev)  
+[https://github.com/celery/celery](https://github.com/celery/celery)  
+29 stars per week over 723 weeks  
+21,040 stars, 4,442 forks, 475 watches  
+[perf](categories/perf.md) category, created 2009-04-24, last commit 2023-03-04, main language Python  
+<sub><sup>amqp, python, python-library, python3, queue-tasks, queue-workers, queued-jobs, redis, redis-queue, sqs, sqs-queue, task-manager, task-runner, task-scheduler</sup></sub>
 
 
-### [full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql) by [tiangolo](https://github.com/tiangolo)  
-full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.  
-[https://github.com/tiangolo/full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql)  
-53 stars per week over 197 weeks  
-10,525 stars, 1,908 forks, 171 watches  
-[template](categories/template.md) category, created 2019-02-23, last commit 2020-06-05, main language Python  
-<sub><sup>backend, celery, cookiecutter, docker, fastapi, frontend, json, json-schema, jwt, letsencrypt, openapi, openapi3, pgadmin, postgresql, python, python3, swagger, traefik, vue, vuex</sup></sub>
+### [micropython](https://github.com/micropython/micropython)  
+MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems  
+[https://micropython.org](https://micropython.org)  
+[https://github.com/micropython/micropython](https://github.com/micropython/micropython)  
+33 stars per week over 480 weeks  
+16,033 stars, 6,226 forks, 730 watches  
+[util](categories/util.md) category, created 2013-12-20, last commit 2023-03-02, main language C  
+<sub><sup>embedded, microcontroller, micropython, python</sup></sub>
 
 
-### [deck.gl](https://github.com/visgl/deck.gl) by [visgl](https://github.com/visgl)  
-deck.gl: WebGL2 powered visualization framework  
-[https://deck.gl](https://deck.gl)  
-[https://github.com/visgl/deck.gl](https://github.com/visgl/deck.gl)  
-28 stars per week over 364 weeks  
-10,454 stars, 1,876 forks, 1,730 watches  
-[viz](categories/viz.md) category, created 2015-12-15, last commit 2022-12-06, main language JavaScript  
-<sub><sup>data-visualization, geospatial-analysis, javascript, maps, python, visualization, webgl</sup></sub>
+### [autogluon](https://github.com/awslabs/autogluon) by [awslabs](https://github.com/awslabs)  
+AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data  
+[https://auto.gluon.ai/](https://auto.gluon.ai/)  
+[https://github.com/awslabs/autogluon](https://github.com/awslabs/autogluon)  
+28 stars per week over 187 weeks  
+5,400 stars, 703 forks, 90 watches  
+[ml](categories/ml.md) category, created 2019-07-29, last commit 2023-03-03, main language Python  
+<sub><sup>autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning, ensemble-learning, forecasting, gluon, hyperparameter-optimization, image-classification, machine-learning, natural-language-processing, object-detection, pytorch, scikit-learn, structured-data, tabular-data, time-series, transfer-learning</sup></sub>
 
 
-### [Pillow](https://github.com/python-pillow/pillow) by [python-pillow](https://github.com/python-pillow)  
-Pillow: The friendly PIL fork (Python Imaging Library)  
-[https://python-pillow.org](https://python-pillow.org)  
-[https://github.com/python-pillow/pillow](https://github.com/python-pillow/pillow)  
-19 stars per week over 541 weeks  
-10,351 stars, 1,951 forks, 218 watches  
-[util](categories/util.md) category, created 2012-07-24, last commit 2022-12-06, main language Python  
-<sub><sup>c, cross-platform, image, image-processing, pil, pillow, python, python-3</sup></sub>
+### [sqlmodel](https://github.com/tiangolo/sqlmodel) by [tiangolo](https://github.com/tiangolo)  
+sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.  
+[https://sqlmodel.tiangolo.com/](https://sqlmodel.tiangolo.com/)  
+[https://github.com/tiangolo/sqlmodel](https://github.com/tiangolo/sqlmodel)  
+119 stars per week over 79 weeks  
+9,495 stars, 409 forks, 125 watches  
+[data](categories/data.md) category, created 2021-08-24, last commit 2023-02-21, main language Python  
+<sub><sup>fastapi, json, json-schema, pydantic, python, sql, sqlalchemy</sup></sub>
 
 
-### [lime](https://github.com/marcotcr/lime) by [marcotcr](https://github.com/marcotcr)  
-Lime: Explaining the predictions of any machine learning classifier  
-[https://github.com/marcotcr/lime](https://github.com/marcotcr/lime)  
-29 stars per week over 351 weeks  
-10,276 stars, 1,685 forks, 272 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2016-03-15, last commit 2021-07-29, main language JavaScript  
+### [stable-diffusion](https://github.com/compvis/stable-diffusion) by [compvis](https://github.com/compvis)  
+stable-diffusion: A latent text-to-image diffusion model  
+[https://ommer-lab.com/research/latent-diffusion-models/](https://ommer-lab.com/research/latent-diffusion-models/)  
+[https://github.com/compvis/stable-diffusion](https://github.com/compvis/stable-diffusion)  
+1496 stars per week over 29 weeks  
+44,263 stars, 6,888 forks, 422 watches  
+[diffusion](categories/diffusion.md) category, created 2022-08-10, last commit 2022-11-16, main language Jupyter Notebook  
 
 
-### [detr](https://github.com/facebookresearch/detr) by [facebookresearch](https://github.com/facebookresearch)  
-detr: End-to-End Object Detection with Transformers  
-[https://github.com/facebookresearch/detr](https://github.com/facebookresearch/detr)  
-77 stars per week over 132 weeks  
-10,186 stars, 1,844 forks, 145 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-05-26, last commit 2022-03-07, main language Python  
+### [ipython](https://github.com/ipython/ipython)  
+ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.  
+[https://ipython.readthedocs.org](https://ipython.readthedocs.org)  
+[https://github.com/ipython/ipython](https://github.com/ipython/ipython)  
+23 stars per week over 668 weeks  
+15,708 stars, 4,420 forks, 768 watches  
+[util](categories/util.md) category, created 2010-05-10, last commit 2023-02-28, main language Python  
+<sub><sup>closember, data-science, hacktoberfest, ipython, jupyter, notebook, python, repl</sup></sub>
 
 
-### [seaborn](https://github.com/mwaskom/seaborn) by [mwaskom](https://github.com/mwaskom)  
-seaborn: Statistical data visualization in Python  
-[https://seaborn.pydata.org](https://seaborn.pydata.org)  
-[https://github.com/mwaskom/seaborn](https://github.com/mwaskom/seaborn)  
-18 stars per week over 546 weeks  
-10,146 stars, 1,677 forks, 252 watches  
-[viz](categories/viz.md) category, created 2012-06-18, last commit 2022-12-06, main language Python  
-<sub><sup>data-science, data-visualization, matplotlib, pandas, python</sup></sub>
+### [mage-ai](https://github.com/mage-ai/mage-ai)  
+mage-ai: 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.  
+[https://www.mage.ai/](https://www.mage.ai/)  
+[https://github.com/mage-ai/mage-ai](https://github.com/mage-ai/mage-ai)  
+85 stars per week over 41 weeks  
+3,562 stars, 276 forks, 46 watches  
+[ml-ops](categories/ml-ops.md) category, created 2022-05-16, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, data, data-engineering, data-integration, data-pipelines, data-science, dbt, elt, etl, machine-learning, orchestration, pipeline, pipelines, python, reverse-etl, spark, sql, transformation</sup></sub>
 
 
-### [bullet3](https://github.com/bulletphysics/bullet3) by [bulletphysics](https://github.com/bulletphysics)  
-bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.  
-[http://bulletphysics.org](http://bulletphysics.org)  
-[https://github.com/bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)  
-16 stars per week over 608 weeks  
-10,020 stars, 2,617 forks, 406 watches  
-[sim](categories/sim.md) category, created 2011-04-12, last commit 2022-09-25, main language C++  
-<sub><sup>computer-animation, game-development, kinematics, pybullet, reinforcement-learning, robotics, simulation, simulator, virtual-reality</sup></sub>
+### [musiclm-pytorch](https://github.com/lucidrains/musiclm-pytorch) by [lucidrains](https://github.com/lucidrains)  
+musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch  
+[https://github.com/lucidrains/musiclm-pytorch](https://github.com/lucidrains/musiclm-pytorch)  
+306 stars per week over 5 weeks  
+1,620 stars, 101 forks, 74 watches  
+[ml](categories/ml.md) category, created 2023-01-27, last commit 2023-03-02, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, music-synthesis, transformers</sup></sub>
 
 
-### [dopamine](https://github.com/google/dopamine) by [google](https://github.com/google)  
-Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.   
-[https://github.com/google/dopamine](https://github.com/google/dopamine)  
-[https://github.com/google/dopamine](https://github.com/google/dopamine)  
-43 stars per week over 227 weeks  
-9,944 stars, 1,336 forks, 441 watches  
-[ml](categories/ml.md) category, created 2018-07-26, last commit 2022-11-28, main language Jupyter Notebook  
-<sub><sup>ai, google, ml, rl, tensorflow</sup></sub>
+### [haystack](https://github.com/deepset-ai/haystack) by [deepset-ai](https://github.com/deepset-ai)  
+haystack: :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.  
+[https://haystack.deepset.ai](https://haystack.deepset.ai)  
+[https://github.com/deepset-ai/haystack](https://github.com/deepset-ai/haystack)  
+41 stars per week over 172 weeks  
+7,133 stars, 1,066 forks, 103 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-11-14, last commit 2023-03-03, main language Python  
+<sub><sup>ai, bert, chatgpt, elasticsearch, generative-ai, gpt-3, information-retrieval, language-model, large-language-models, machine-learning, natural-language-processing, nlp, python, pytorch, question-answering, semantic-search, squad, summarization, transfer-learning, transformers</sup></sub>
 
 
-### [typer](https://github.com/tiangolo/typer) by [tiangolo](https://github.com/tiangolo)  
-Typer, build great CLIs. Easy to code. Based on Python type hints.  
-[https://typer.tiangolo.com/](https://typer.tiangolo.com/)  
-[https://github.com/tiangolo/typer](https://github.com/tiangolo/typer)  
-64 stars per week over 154 weeks  
-9,902 stars, 396 forks, 66 watches  
-[term](categories/term.md) category, created 2019-12-24, last commit 2022-11-14, main language Python  
-<sub><sup>cli, click, python, python3, shell, terminal, typehints, typer</sup></sub>
+### [speechbrain](https://github.com/speechbrain/speechbrain)  
+speechbrain: A PyTorch-based Speech Toolkit  
+[http://speechbrain.github.io](http://speechbrain.github.io)  
+[https://github.com/speechbrain/speechbrain](https://github.com/speechbrain/speechbrain)  
+36 stars per week over 148 weeks  
+5,413 stars, 1,023 forks, 115 watches  
+[nlp](categories/nlp.md) category, created 2020-04-28, last commit 2023-03-03, main language Python  
+<sub><sup>asr, audio, audio-processing, deep-learning, huggingface, language-model, pytorch, speaker-diarization, speaker-recognition, speaker-verification, speech-enhancement, speech-processing, speech-recognition, speech-separation, speech-to-text, speech-toolkit, speechrecognition, spoken-language-understanding, transformers, voice-recognition</sup></sub>
 
 
-### [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
-pandas-profiling: Create HTML profiling reports from pandas DataFrame objects  
-[https://pandas-profiling.ydata.ai](https://pandas-profiling.ydata.ai)  
-[https://github.com/pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
-27 stars per week over 360 weeks  
-9,891 stars, 1,410 forks, 152 watches  
-[pandas](categories/pandas.md) category, created 2016-01-09, last commit 2022-11-29, main language Python  
-<sub><sup>big-data-analytics, data-analysis, data-exploration, data-profiling, data-quality, data-science, deep-learning, eda, exploration, exploratory-data-analysis, hacktoberfest, html-report, jupyter, jupyter-notebook, machine-learning, pandas, pandas-dataframe, pandas-profiling, python, statistics</sup></sub>
+### [espnet](https://github.com/espnet/espnet)  
+espnet: End-to-End Speech Processing Toolkit  
+[https://espnet.github.io/espnet/](https://espnet.github.io/espnet/)  
+[https://github.com/espnet/espnet](https://github.com/espnet/espnet)  
+22 stars per week over 272 weeks  
+6,152 stars, 1,856 forks, 176 watches  
+[nlp](categories/nlp.md) category, created 2017-12-13, last commit 2023-03-03, main language Python  
+<sub><sup>chainer, deep-learning, end-to-end, kaldi, machine-translation, pytorch, singing-voice-synthesis, speaker-diarization, speech-enhancement, speech-recognition, speech-separation, speech-synthesis, speech-translation, spoken-language-understanding, voice-conversion</sup></sub>
 
 
-### [sympy](https://github.com/sympy/sympy)  
-sympy: A computer algebra system written in pure Python  
-[https://sympy.org/](https://sympy.org/)  
-[https://github.com/sympy/sympy](https://github.com/sympy/sympy)  
-14 stars per week over 657 weeks  
-9,861 stars, 3,781 forks, 281 watches  
-[math](categories/math.md) category, created 2010-04-30, last commit 2022-12-04, main language Python  
-<sub><sup>computer-algebra, hacktoberfest, math, python, science</sup></sub>
+### [aiohttp](https://github.com/aio-libs/aiohttp) by [aio-libs](https://github.com/aio-libs)  
+aiohttp: Asynchronous HTTP client/server framework for asyncio and Python  
+[https://docs.aiohttp.org](https://docs.aiohttp.org)  
+[https://github.com/aio-libs/aiohttp](https://github.com/aio-libs/aiohttp)  
+27 stars per week over 491 weeks  
+13,318 stars, 1,870 forks, 227 watches  
+[web](categories/web.md) category, created 2013-10-01, last commit 2023-02-28, main language Python  
+<sub><sup>aiohttp, async, asyncio, hacktoberfest, http, http-client, http-server, python</sup></sub>
 
 
-### [pyinstaller](https://github.com/pyinstaller/pyinstaller)  
-pyinstaller: Freeze (package) Python programs into stand-alone executables  
-[http://www.pyinstaller.org](http://www.pyinstaller.org)  
-[https://github.com/pyinstaller/pyinstaller](https://github.com/pyinstaller/pyinstaller)  
-17 stars per week over 576 weeks  
-9,805 stars, 1,846 forks, 233 watches  
-[util](categories/util.md) category, created 2011-11-23, last commit 2022-12-05, main language Python  
-<sub><sup>bundle, package, py2app, py2exe, pyinstaller, python, python-3, python-to-exe</sup></sub>
+### [YOLOX](https://github.com/megvii-basedetection/yolox) by [megvii-basedetection](https://github.com/megvii-basedetection)  
+YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/  
+[https://github.com/megvii-basedetection/yolox](https://github.com/megvii-basedetection/yolox)  
+93 stars per week over 85 weeks  
+7,920 stars, 1,915 forks, 72 watches  
+[ml](categories/ml.md) category, created 2021-07-17, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, megengine, ncnn, object-detection, onnx, openvino, pytorch, tensorrt, yolo, yolov3, yolox</sup></sub>
 
 
-### [httpx](https://github.com/encode/httpx) by [encode](https://github.com/encode)  
-httpx: A next generation HTTP client for Python. 🦋  
-[https://www.python-httpx.org/](https://www.python-httpx.org/)  
-[https://github.com/encode/httpx](https://github.com/encode/httpx)  
-50 stars per week over 191 weeks  
-9,742 stars, 636 forks, 105 watches  
-[web](categories/web.md) category, created 2019-04-04, last commit 2022-12-06, main language Python  
-<sub><sup>asyncio, http, python, trio</sup></sub>
+### [pybind11](https://github.com/pybind/pybind11) by [pybind](https://github.com/pybind)  
+pybind11: Seamless operability between C++11 and Python  
+[https://pybind11.readthedocs.io/](https://pybind11.readthedocs.io/)  
+[https://github.com/pybind/pybind11](https://github.com/pybind/pybind11)  
+30 stars per week over 400 weeks  
+12,294 stars, 1,778 forks, 245 watches  
+[perf](categories/perf.md) category, created 2015-07-05, last commit 2023-02-23, main language C++  
+<sub><sup>bindings, python</sup></sub>
 
 
-### [memray](https://github.com/bloomberg/memray) by [bloomberg](https://github.com/bloomberg)  
-Memray is a memory profiler for Python  
-[https://bloomberg.github.io/memray/](https://bloomberg.github.io/memray/)  
-[https://github.com/bloomberg/memray](https://github.com/bloomberg/memray)  
-277 stars per week over 34 weeks  
-9,649 stars, 263 forks, 53 watches  
-[profiling](categories/profiling.md) category, created 2022-04-08, last commit 2022-12-06, main language Python  
-<sub><sup>hacktoberfest, memory, memory-leak, memory-leak-detection, memory-profiler, profiler, python, python3</sup></sub>
+### [nni](https://github.com/microsoft/nni) by [microsoft](https://github.com/microsoft)  
+nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.  
+[https://nni.readthedocs.io](https://nni.readthedocs.io)  
+[https://github.com/microsoft/nni](https://github.com/microsoft/nni)  
+50 stars per week over 248 weeks  
+12,566 stars, 1,755 forks, 282 watches  
+[ml](categories/ml.md) category, created 2018-06-01, last commit 2023-03-03, main language Python  
+<sub><sup>automated-machine-learning, automl, bayesian-optimization, data-science, deep-learning, deep-neural-network, distributed, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, mlops, model-compression, nas, neural-architecture-search, neural-network, python, pytorch, tensorflow</sup></sub>
 
 
-### [ParlAI](https://github.com/facebookresearch/parlai) by [facebookresearch](https://github.com/facebookresearch)  
-ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.  
-[https://parl.ai](https://parl.ai)  
-[https://github.com/facebookresearch/parlai](https://github.com/facebookresearch/parlai)  
-32 stars per week over 293 weeks  
-9,643 stars, 1,970 forks, 289 watches  
-[nlp](categories/nlp.md) category, created 2017-04-24, last commit 2022-12-06, main language Python  
+### [ludwig](https://github.com/uber/ludwig) by [uber](https://github.com/uber)  
+ludwig: Data-centric declarative deep learning framework  
+[http://ludwig.ai](http://ludwig.ai)  
+[https://github.com/uber/ludwig](https://github.com/uber/ludwig)  
+40 stars per week over 218 weeks  
+8,780 stars, 1,030 forks, 183 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-12-27, last commit 2023-03-04, main language Python  
+<sub><sup>computer-vision, data-centric, data-science, datascience, deep, deep-learning, deeplearning, learning, machine, machine-learning, machinelearning, ml, natural-language, natural-language-processing, neural-network, python, pytorch</sup></sub>
 
 
-### [notebook](https://github.com/jupyter/notebook) by [jupyter](https://github.com/jupyter)  
-notebook: Jupyter Interactive Notebook  
-[https://jupyter-notebook.readthedocs.io/](https://jupyter-notebook.readthedocs.io/)  
-[https://github.com/jupyter/notebook](https://github.com/jupyter/notebook)  
-24 stars per week over 399 weeks  
-9,602 stars, 3,982 forks, 319 watches  
-[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>closember, jupyter, jupyter-notebook, notebook</sup></sub>
+### [horovod](https://github.com/horovod/horovod)  
+horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.  
+[http://horovod.ai](http://horovod.ai)  
+[https://github.com/horovod/horovod](https://github.com/horovod/horovod)  
+44 stars per week over 290 weeks  
+13,071 stars, 2,158 forks, 331 watches  
+[ml-ops](categories/ml-ops.md) category, created 2017-08-09, last commit 2023-02-23, main language Python  
+<sub><sup>baidu, deep-learning, deeplearning, keras, machine-learning, machinelearning, mpi, mxnet, pytorch, ray, spark, tensorflow, uber</sup></sub>
 
 
-### [polars](https://github.com/pola-rs/polars) by [pola-rs](https://github.com/pola-rs)  
-polars: Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js  
-[https://pola.rs/](https://pola.rs/)  
-[https://github.com/pola-rs/polars](https://github.com/pola-rs/polars)  
-71 stars per week over 134 weeks  
-9,575 stars, 532 forks, 98 watches  
-[perf](categories/perf.md) category, created 2020-05-13, last commit 2022-12-07, main language Rust  
-<sub><sup>arrow, dataframe, dataframe-library, dataframes, out-of-core, python, rust</sup></sub>
+### [dash](https://github.com/plotly/dash) by [plotly](https://github.com/plotly)  
+dash: Data Apps & Dashboards for Python. No JavaScript Required.  
+[https://plotly.com/dash](https://plotly.com/dash)  
+[https://github.com/plotly/dash](https://github.com/plotly/dash)  
+44 stars per week over 412 weeks  
+18,198 stars, 1,853 forks, 410 watches  
+[viz](categories/viz.md) category, created 2015-04-10, last commit 2023-03-02, main language Python  
+<sub><sup>bioinformatics, charting, dash, data-science, data-visualization, finance, flask, gui-framework, julia, jupyter, modeling, plotly, plotly-dash, productivity, python, r, react, rstats, technical-computing, web-app</sup></sub>
+
+
+### [qlib](https://github.com/microsoft/qlib) by [microsoft](https://github.com/microsoft)  
+Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of  SOTA Quant research works/papers are released in Qlib.  
+[https://qlib.readthedocs.io/en/latest/](https://qlib.readthedocs.io/en/latest/)  
+[https://github.com/microsoft/qlib](https://github.com/microsoft/qlib)  
+78 stars per week over 133 weeks  
+10,418 stars, 1,861 forks, 250 watches  
+[finance](categories/finance.md) category, created 2020-08-14, last commit 2023-03-03, main language Python  
+<sub><sup>algorithmic-trading, auto-quant, deep-learning, finance, fintech, investment, machine-learning, paper, platform, python, quant, quant-dataset, quant-models, quantitative-finance, quantitative-trading, research, research-paper, stock-data</sup></sub>
+
+
+### [typer](https://github.com/tiangolo/typer) by [tiangolo](https://github.com/tiangolo)  
+Typer, build great CLIs. Easy to code. Based on Python type hints.  
+[https://typer.tiangolo.com/](https://typer.tiangolo.com/)  
+[https://github.com/tiangolo/typer](https://github.com/tiangolo/typer)  
+63 stars per week over 166 weeks  
+10,601 stars, 427 forks, 68 watches  
+[term](categories/term.md) category, created 2019-12-24, last commit 2023-02-21, main language Python  
+<sub><sup>cli, click, python, python3, shell, terminal, typehints, typer</sup></sub>
 
 
 ### [pytest](https://github.com/pytest-dev/pytest) by [pytest-dev](https://github.com/pytest-dev)  
 pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing  
 [https://pytest.org](https://pytest.org)  
 [https://github.com/pytest-dev/pytest](https://github.com/pytest-dev/pytest)  
-24 stars per week over 390 weeks  
-9,564 stars, 2,210 forks, 194 watches  
-[testing](categories/testing.md) category, created 2015-06-15, last commit 2022-12-06, main language Python  
+24 stars per week over 402 weeks  
+9,858 stars, 2,271 forks, 194 watches  
+[testing](categories/testing.md) category, created 2015-06-15, last commit 2023-03-03, main language Python  
 <sub><sup>hacktoberfest, python, test, testing, unit-testing</sup></sub>
 
 
-### [py-spy](https://github.com/benfred/py-spy) by [benfred](https://github.com/benfred)  
-py-spy: Sampling profiler for Python programs  
-[https://github.com/benfred/py-spy](https://github.com/benfred/py-spy)  
-41 stars per week over 227 weeks  
-9,415 stars, 341 forks, 107 watches  
-[profiling](categories/profiling.md) category, created 2018-08-01, last commit 2022-12-05, main language Rust  
-<sub><sup>performance-analysis, profiler, profiling, python</sup></sub>
+### [Gymnasium](https://github.com/farama-foundation/gymnasium) by [farama-foundation](https://github.com/farama-foundation)  
+Gymnasium: A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)  
+[https://gymnasium.farama.org](https://gymnasium.farama.org)  
+[https://github.com/farama-foundation/gymnasium](https://github.com/farama-foundation/gymnasium)  
+64 stars per week over 25 weeks  
+1,651 stars, 189 forks, 18 watches  
+[sim](categories/sim.md) category, created 2022-09-08, last commit 2023-03-03, main language Python  
+<sub><sup>api, gym, reinforcement-learning</sup></sub>
 
 
-### [pyodide](https://github.com/pyodide/pyodide)  
-Pyodide is a Python distribution for the browser and Node.js based on WebAssembly  
-[https://pyodide.org/en/stable/](https://pyodide.org/en/stable/)  
-[https://github.com/pyodide/pyodide](https://github.com/pyodide/pyodide)  
-37 stars per week over 249 weeks  
-9,376 stars, 613 forks, 124 watches  
-[util](categories/util.md) category, created 2018-02-23, last commit 2022-12-06, main language Python  
-<sub><sup>python, webassembly</sup></sub>
+### [catboost](https://github.com/catboost/catboost)  
+catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.  
+[https://catboost.ai](https://catboost.ai)  
+[https://github.com/catboost/catboost](https://github.com/catboost/catboost)  
+23 stars per week over 293 weeks  
+6,977 stars, 1,092 forks, 192 watches  
+[ml](categories/ml.md) category, created 2017-07-18, last commit 2023-03-04, main language C  
+<sub><sup>big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial</sup></sub>
 
 
-### [pre-commit](https://github.com/pre-commit/pre-commit)  
-pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.  
-[https://pre-commit.com](https://pre-commit.com)  
-[https://github.com/pre-commit/pre-commit](https://github.com/pre-commit/pre-commit)  
-20 stars per week over 455 weeks  
-9,296 stars, 686 forks, 82 watches  
-[util](categories/util.md) category, created 2014-03-13, last commit 2022-11-29, main language Python  
-<sub><sup>git, linter, pre-commit, python, refactoring</sup></sub>
+### [pycaret](https://github.com/pycaret/pycaret)  
+pycaret: An open-source, low-code machine learning library in Python  
+[https://www.pycaret.org](https://www.pycaret.org)  
+[https://github.com/pycaret/pycaret](https://github.com/pycaret/pycaret)  
+40 stars per week over 171 weeks  
+6,966 stars, 1,584 forks, 128 watches  
+[ml](categories/ml.md) category, created 2019-11-23, last commit 2023-03-02, main language Jupyter Notebook  
+<sub><sup>anomaly-detection, citizen-data-scientists, classification, clustering, data-science, gpu, machine-learning, ml, nlp, pycaret, python, regression, time-series</sup></sub>
+
+
+### [kornia](https://github.com/kornia/kornia)  
+kornia: Open Source Differentiable Computer Vision Library  
+[https://kornia.github.io/kornia/](https://kornia.github.io/kornia/)  
+[https://github.com/kornia/kornia](https://github.com/kornia/kornia)  
+33 stars per week over 236 weeks  
+7,825 stars, 794 forks, 119 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-08-22, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, computer-vision, deep-learning, image-processing, machine-learning, neural-network, python, pytorch</sup></sub>
+
+
+### [onnx](https://github.com/onnx/onnx)  
+onnx: Open standard for machine learning interoperability  
+[https://onnx.ai/](https://onnx.ai/)  
+[https://github.com/onnx/onnx](https://github.com/onnx/onnx)  
+49 stars per week over 286 weeks  
+14,187 stars, 3,350 forks, 431 watches  
+[ml](categories/ml.md) category, created 2017-09-07, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, deep-neural-networks, dnn, keras, machine-learning, ml, mxnet, neural-network, onnx, pytorch, scikit-learn, tensorflow</sup></sub>
+
+
+### [scalene](https://github.com/plasma-umass/scalene) by [plasma-umass](https://github.com/plasma-umass)  
+Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals  
+[https://github.com/plasma-umass/scalene](https://github.com/plasma-umass/scalene)  
+44 stars per week over 167 weeks  
+7,426 stars, 247 forks, 72 watches  
+[profiling](categories/profiling.md) category, created 2019-12-17, last commit 2023-02-27, main language JavaScript  
+<sub><sup>cpu, cpu-profiling, gpu, gpu-programming, memory-allocation, memory-consumption, performance-analysis, performance-cpu, profiler, profiles-memory, profiling, python, python-profilers, scalene</sup></sub>
+
+
+### [stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion) by [ashawkey](https://github.com/ashawkey)  
+stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.  
+[https://github.com/ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  
+183 stars per week over 21 weeks  
+3,937 stars, 346 forks, 83 watches  
+[diffusion](categories/diffusion.md) category, created 2022-10-06, last commit 2023-03-03, main language Python  
+<sub><sup>dreamfusion, gui, nerf, stable-diffusion, text-to-3d</sup></sub>
+
+
+### [mmsegmentation](https://github.com/open-mmlab/mmsegmentation) by [open-mmlab](https://github.com/open-mmlab)  
+mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.  
+[https://mmsegmentation.readthedocs.io/en/latest/](https://mmsegmentation.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation)  
+37 stars per week over 142 weeks  
+5,308 stars, 1,955 forks, 52 watches  
+[ml](categories/ml.md) category, created 2020-06-14, last commit 2023-02-28, main language Python  
+<sub><sup>deeplabv3, image-segmentation, medical-image-segmentation, pspnet, pytorch, realtime-segmentation, retinal-vessel-segmentation, semantic-segmentation, swin-transformer, transformer, vessel-segmentation</sup></sub>
+
+
+### [httpx](https://github.com/encode/httpx) by [encode](https://github.com/encode)  
+httpx: A next generation HTTP client for Python. 🦋  
+[https://www.python-httpx.org/](https://www.python-httpx.org/)  
+[https://github.com/encode/httpx](https://github.com/encode/httpx)  
+49 stars per week over 204 weeks  
+10,136 stars, 673 forks, 112 watches  
+[web](categories/web.md) category, created 2019-04-04, last commit 2023-03-01, main language Python  
+<sub><sup>asyncio, http, python, trio</sup></sub>
+
+
+### [accelerate](https://github.com/huggingface/accelerate) by [huggingface](https://github.com/huggingface)  
+accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision  
+[https://huggingface.co/docs/accelerate](https://huggingface.co/docs/accelerate)  
+[https://github.com/huggingface/accelerate](https://github.com/huggingface/accelerate)  
+31 stars per week over 122 weeks  
+3,793 stars, 346 forks, 70 watches  
+[ml](categories/ml.md) category, created 2020-10-30, last commit 2023-03-03, main language Python  
+
+
+### [DearPyGui](https://github.com/hoffstadt/dearpygui) by [hoffstadt](https://github.com/hoffstadt)  
+DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies  
+[https://dearpygui.readthedocs.io/en/latest/](https://dearpygui.readthedocs.io/en/latest/)  
+[https://github.com/hoffstadt/dearpygui](https://github.com/hoffstadt/dearpygui)  
+67 stars per week over 144 weeks  
+9,757 stars, 511 forks, 138 watches  
+[gui](categories/gui.md) category, created 2020-05-28, last commit 2023-03-02, main language C++  
+<sub><sup>cpp, cross-platform, dearpygui, graphics, gui, imgui, linux, macos, native, python, python-gui, toolkit, tools, ui, windows</sup></sub>
+
+
+### [marqo](https://github.com/marqo-ai/marqo) by [marqo-ai](https://github.com/marqo-ai)  
+marqo: Tensor search for humans.  
+[https://www.marqo.ai/](https://www.marqo.ai/)  
+[https://github.com/marqo-ai/marqo](https://github.com/marqo-ai/marqo)  
+78 stars per week over 30 weeks  
+2,409 stars, 93 forks, 26 watches  
+[ml](categories/ml.md) category, created 2022-08-01, last commit 2023-03-03, main language Python  
+<sub><sup>chatgpt, clip, deep-learning, gpt, hacktoberfest, hnsw, information-retrieval, knn, large-language-models, machine-learning, machinelearning, multi-modal, natural-language-processing, search-engine, semantic-search, tensor-search, transformers, vector-search, vision-language, visual-search</sup></sub>
+
+
+### [starlette](https://github.com/encode/starlette) by [encode](https://github.com/encode)  
+starlette: The little ASGI framework that shines. 🌟  
+[https://www.starlette.io/](https://www.starlette.io/)  
+[https://github.com/encode/starlette](https://github.com/encode/starlette)  
+32 stars per week over 244 weeks  
+7,944 stars, 720 forks, 111 watches  
+[web](categories/web.md) category, created 2018-06-25, last commit 2023-03-03, main language Python  
+<sub><sup>async, http, python, websockets</sup></sub>
+
+
+### [deck.gl](https://github.com/visgl/deck.gl) by [visgl](https://github.com/visgl)  
+deck.gl: WebGL2 powered visualization framework  
+[https://deck.gl](https://deck.gl)  
+[https://github.com/visgl/deck.gl](https://github.com/visgl/deck.gl)  
+28 stars per week over 376 weeks  
+10,650 stars, 1,933 forks, 1,720 watches  
+[viz](categories/viz.md) category, created 2015-12-15, last commit 2023-03-03, main language JavaScript  
+<sub><sup>data-visualization, geospatial-analysis, javascript, maps, python, visualization, webgl</sup></sub>
+
+
+### [pytorch3d](https://github.com/facebookresearch/pytorch3d) by [facebookresearch](https://github.com/facebookresearch)  
+PyTorch3D is FAIR's library of reusable components for deep learning with 3D data  
+[https://pytorch3d.org/](https://pytorch3d.org/)  
+[https://github.com/facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d)  
+39 stars per week over 175 weeks  
+7,009 stars, 1,077 forks, 141 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-10-25, last commit 2023-02-28, main language Python  
+
+
+### [kedro](https://github.com/kedro-org/kedro) by [kedro-org](https://github.com/kedro-org)  
+kedro: A Python framework for creating reproducible, maintainable and modular data science code.  
+[https://kedro.org](https://kedro.org)  
+[https://github.com/kedro-org/kedro](https://github.com/kedro-org/kedro)  
+40 stars per week over 202 weeks  
+8,138 stars, 765 forks, 104 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-04-18, last commit 2023-03-02, main language Python  
+<sub><sup>experiment-tracking, hacktoberfest, kedro, machine-learning, mlops, pipeline, python</sup></sub>
+
+
+### [NeMo](https://github.com/nvidia/nemo) by [nvidia](https://github.com/nvidia)  
+NeMo: a toolkit for conversational AI  
+[https://nvidia.github.io/NeMo/](https://nvidia.github.io/NeMo/)  
+[https://github.com/nvidia/nemo](https://github.com/nvidia/nemo)  
+30 stars per week over 186 weeks  
+5,790 stars, 1,406 forks, 139 watches  
+[nlp](categories/nlp.md) category, created 2019-08-05, last commit 2023-03-02, main language Python  
+<sub><sup>asr, deep-learning, language-model, machine-translation, neural-network, nlp, nlp-machine-learning, nmt, speaker-diarization, speaker-recognition, speech-recognition, speech-synthesis, speech-to-text, text-normalization, text-to-speech, tts</sup></sub>
+
+
+### [paper-qa](https://github.com/whitead/paper-qa) by [whitead](https://github.com/whitead)  
+paper-qa: LLM Chain for answering questions from documents with citations  
+[https://github.com/whitead/paper-qa](https://github.com/whitead/paper-qa)  
+249 stars per week over 4 weeks  
+997 stars, 66 forks, 21 watches  
+[nlp](categories/nlp.md) category, created 2023-02-05, last commit 2023-03-02, main language Python  
+
+
+### [modin](https://github.com/modin-project/modin) by [modin-project](https://github.com/modin-project)  
+Modin: Scale your Pandas workflows by changing a single line of code  
+[http://modin.readthedocs.io](http://modin.readthedocs.io)  
+[https://github.com/modin-project/modin](https://github.com/modin-project/modin)  
+34 stars per week over 245 weeks  
+8,421 stars, 591 forks, 108 watches  
+[perf](categories/perf.md) category, created 2018-06-21, last commit 2023-03-03, main language Python  
+<sub><sup>analytics, data-science, dataframe, datascience, distributed, hacktoberfest, modin, pandas, python, sql</sup></sub>
+
+
+### [pylint](https://github.com/pycqa/pylint) by [pycqa](https://github.com/pycqa)  
+pylint: It's not just a linter that annoys you!  
+[http://pylint.pycqa.org](http://pylint.pycqa.org)  
+[https://github.com/pycqa/pylint](https://github.com/pycqa/pylint)  
+12 stars per week over 377 weeks  
+4,534 stars, 979 forks, 75 watches  
+[util](categories/util.md) category, created 2015-12-09, last commit 2023-03-03, main language Python  
+<sub><sup>closember, code-quality, hacktoberfest, linter, pep8, static-analysis, static-code-analysis</sup></sub>
+
+
+### [serverless-application-model](https://github.com/aws/serverless-application-model) by [aws](https://github.com/aws)  
+serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.  
+[https://aws.amazon.com/serverless/sam](https://aws.amazon.com/serverless/sam)  
+[https://github.com/aws/serverless-application-model](https://github.com/aws/serverless-application-model)  
+26 stars per week over 333 weeks  
+8,937 stars, 2,302 forks, 298 watches  
+[util](categories/util.md) category, created 2016-10-10, last commit 2023-03-03, main language Python  
+<sub><sup>aws, aws-sam, lambda, sam, sam-specification, serverless, serverless-application-model, serverless-applications</sup></sub>
+
+
+### [Pillow](https://github.com/python-pillow/pillow) by [python-pillow](https://github.com/python-pillow)  
+Pillow: Python Imaging Library (Fork)  
+[https://python-pillow.org](https://python-pillow.org)  
+[https://github.com/python-pillow/pillow](https://github.com/python-pillow/pillow)  
+19 stars per week over 553 weeks  
+10,572 stars, 1,988 forks, 218 watches  
+[util](categories/util.md) category, created 2012-07-24, last commit 2023-03-04, main language Python  
+<sub><sup>c, cross-platform, image, image-processing, pil, pillow, python, python-3</sup></sub>
+
+
+### [plotly.py](https://github.com/plotly/plotly.py) by [plotly](https://github.com/plotly)  
+plotly.py: The interactive graphing library for Python :sparkles: This project now includes Plotly Express!  
+[https://plotly.com/python/](https://plotly.com/python/)  
+[https://github.com/plotly/plotly.py](https://github.com/plotly/plotly.py)  
+26 stars per week over 484 weeks  
+13,020 stars, 2,306 forks, 275 watches  
+[viz](categories/viz.md) category, created 2013-11-21, last commit 2023-02-24, main language Python  
+<sub><sup>d3, dashboard, declarative, graph-library, interactive, jupyter-notebook, plotly, plotly-dash, plotlyjs, python, regl, sparkles, visualization, webgl</sup></sub>
+
+
+### [tornado](https://github.com/tornadoweb/tornado) by [tornadoweb](https://github.com/tornadoweb)  
+Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.  
+[http://www.tornadoweb.org/](http://www.tornadoweb.org/)  
+[https://github.com/tornadoweb/tornado](https://github.com/tornadoweb/tornado)  
+29 stars per week over 703 weeks  
+21,004 stars, 5,494 forks, 1,003 watches  
+[web](categories/web.md) category, created 2009-09-09, last commit 2023-02-21, main language Python  
+<sub><sup>asynchronous, python</sup></sub>
+
+
+### [rembg](https://github.com/danielgatis/rembg) by [danielgatis](https://github.com/danielgatis)  
+Rembg is a tool to remove images background  
+[https://github.com/danielgatis/rembg](https://github.com/danielgatis/rembg)  
+63 stars per week over 133 weeks  
+8,561 stars, 1,069 forks, 105 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-08-10, last commit 2022-12-28, main language Python  
+<sub><sup>background-removal, image-processing, python</sup></sub>
+
+
+### [mamba](https://github.com/mamba-org/mamba) by [mamba-org](https://github.com/mamba-org)  
+mamba: The Fast Cross-Platform Package Manager  
+[https://mamba.readthedocs.io](https://mamba.readthedocs.io)  
+[https://github.com/mamba-org/mamba](https://github.com/mamba-org/mamba)  
+20 stars per week over 208 weeks  
+4,274 stars, 247 forks, 44 watches  
+[util](categories/util.md) category, created 2019-03-05, last commit 2023-03-03, main language C++  
+
+
+### [avatarify-python](https://github.com/alievk/avatarify-python) by [alievk](https://github.com/alievk)  
+avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.  
+[https://github.com/alievk/avatarify-python](https://github.com/alievk/avatarify-python)  
+101 stars per week over 151 weeks  
+15,436 stars, 2,411 forks, 302 watches  
+[util](categories/util.md) category, created 2020-04-06, last commit 2022-11-11, main language Python  
+
+
+### [albumentations](https://github.com/albumentations-team/albumentations) by [albumentations-team](https://github.com/albumentations-team)  
+albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125  
+[https://albumentations.ai](https://albumentations.ai)  
+[https://github.com/albumentations-team/albumentations](https://github.com/albumentations-team/albumentations)  
+47 stars per week over 247 weeks  
+11,637 stars, 1,478 forks, 124 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-06-06, last commit 2023-02-21, main language Python  
+<sub><sup>augmentation, deep-learning, detection, fast-augmentations, image-augmentation, image-classification, image-processing, image-segmentation, machine-learning, object-detection, python, segmentation</sup></sub>
+
+
+### [yfinance](https://github.com/ranaroussi/yfinance) by [ranaroussi](https://github.com/ranaroussi)  
+yfinance: Download market data from Yahoo! Finance's API  
+[https://aroussi.com/post/python-yahoo-finance](https://aroussi.com/post/python-yahoo-finance)  
+[https://github.com/ranaroussi/yfinance](https://github.com/ranaroussi/yfinance)  
+29 stars per week over 302 weeks  
+9,050 stars, 1,832 forks, 220 watches  
+[finance](categories/finance.md) category, created 2017-05-21, last commit 2023-02-21, main language Python  
+<sub><sup>financial-data, fix-yahoo-finance, market-data, pandas, python, stock-data, yahoo-finance, yahoo-finance-api</sup></sub>
+
+
+### [datasette](https://github.com/simonw/datasette) by [simonw](https://github.com/simonw)  
+datasette: An open source multi-tool for exploring and publishing data  
+[https://datasette.io](https://datasette.io)  
+[https://github.com/simonw/datasette](https://github.com/simonw/datasette)  
+25 stars per week over 279 weeks  
+7,185 stars, 498 forks, 101 watches  
+[data](categories/data.md) category, created 2017-10-23, last commit 2023-01-28, main language Python  
+<sub><sup>asgi, automatic-api, csv, datasets, datasette, datasette-io, docker, json, python, sql, sqlite</sup></sub>
+
+
+### [deeplake](https://github.com/activeloopai/hub) by [activeloopai](https://github.com/activeloopai)  
+deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai   
+[https://activeloop.ai](https://activeloop.ai)  
+[https://github.com/activeloopai/hub](https://github.com/activeloopai/hub)  
+28 stars per week over 186 weeks  
+5,275 stars, 420 forks, 64 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-08-09, last commit 2023-03-04, main language Python  
+<sub><sup>ai, computer-vision, cv, data-centric, data-processing, data-science, data-version-control, datalake, datasets, deep-learning, image-processing, jupyter-notebook, lakehouse, machine-learning, ml, mlops, python, pytorch, tensorflow</sup></sub>
+
+
+### [flax](https://github.com/google/flax) by [google](https://github.com/google)  
+Flax is a neural network library for JAX that is designed for flexibility.  
+[https://flax.readthedocs.io](https://flax.readthedocs.io)  
+[https://github.com/google/flax](https://github.com/google/flax)  
+24 stars per week over 164 weeks  
+4,071 stars, 486 forks, 77 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-01-10, last commit 2023-03-03, main language Python  
+<sub><sup>jax</sup></sub>
+
+
+### [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) by [aws](https://github.com/aws)  
+aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).  
+[https://aws-sdk-pandas.readthedocs.io](https://aws-sdk-pandas.readthedocs.io)  
+[https://github.com/aws/aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas)  
+15 stars per week over 209 weeks  
+3,344 stars, 581 forks, 62 watches  
+[pandas](categories/pandas.md) category, created 2019-02-26, last commit 2023-03-03, main language Python  
+<sub><sup>amazon-athena, amazon-sagemaker-notebook, apache-arrow, apache-parquet, athena, aws, aws-glue, aws-lambda, data-engineering, data-science, emr, etl, glue-catalog, lambda, mysql, pandas, python, redshift</sup></sub>
+
+
+### [circuitpython](https://github.com/adafruit/circuitpython) by [adafruit](https://github.com/adafruit)  
+CircuitPython - a Python implementation for teaching coding with microcontrollers  
+[https://circuitpython.org](https://circuitpython.org)  
+[https://github.com/adafruit/circuitpython](https://github.com/adafruit/circuitpython)  
+10 stars per week over 341 weeks  
+3,423 stars, 920 forks, 130 watches  
+[util](categories/util.md) category, created 2016-08-20, last commit 2023-03-03, main language C  
+<sub><sup>beginner, circuitpython, cpython, education, embedded, hacktoberfest, microcontroller, micropython, python, python3</sup></sub>
+
+
+### [python-fire](https://github.com/google/python-fire) by [google](https://github.com/google)  
+python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.  
+[https://github.com/google/python-fire](https://github.com/google/python-fire)  
+76 stars per week over 314 weeks  
+24,057 stars, 1,369 forks, 381 watches  
+[term](categories/term.md) category, created 2017-02-21, last commit 2023-02-13, main language Python  
+<sub><sup>cli, python</sup></sub>
+
+
+### [tqdm](https://github.com/tqdm/tqdm)  
+tqdm: A Fast, Extensible Progress Bar for Python and CLI  
+[https://tqdm.github.io](https://tqdm.github.io)  
+[https://github.com/tqdm/tqdm](https://github.com/tqdm/tqdm)  
+59 stars per week over 404 weeks  
+24,141 stars, 1,225 forks, 208 watches  
+[term](categories/term.md) category, created 2015-06-03, last commit 2023-03-03, main language Python  
+<sub><sup>cli, closember, console, discord, gui, jupyter, keras, meter, pandas, parallel, progress, progress-bar, progressbar, progressmeter, python, rate, telegram, terminal, time, utilities</sup></sub>
+
+
+### [prophet](https://github.com/facebook/prophet) by [facebook](https://github.com/facebook)  
+prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.  
+[https://facebook.github.io/prophet](https://facebook.github.io/prophet)  
+[https://github.com/facebook/prophet](https://github.com/facebook/prophet)  
+47 stars per week over 328 weeks  
+15,558 stars, 4,372 forks, 421 watches  
+[time-series](categories/time-series.md) category, created 2016-11-16, last commit 2023-02-28, main language Python  
+<sub><sup>forecasting, python, r</sup></sub>
+
+
+### [numba](https://github.com/numba/numba)  
+numba: NumPy aware dynamic Python compiler using LLVM  
+[http://numba.pydata.org/](http://numba.pydata.org/)  
+[https://github.com/numba/numba](https://github.com/numba/numba)  
+14 stars per week over 573 weeks  
+8,326 stars, 1,004 forks, 207 watches  
+[perf](categories/perf.md) category, created 2012-03-08, last commit 2023-03-03, main language Python  
+<sub><sup>compiler, cuda, llvm, numpy, parallel, python</sup></sub>
+
+
+### [dbt-core](https://github.com/dbt-labs/dbt-core) by [dbt-labs](https://github.com/dbt-labs)  
+dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  
+[https://getdbt.com](https://getdbt.com)  
+[https://github.com/dbt-labs/dbt-core](https://github.com/dbt-labs/dbt-core)  
+18 stars per week over 364 weeks  
+6,625 stars, 1,169 forks, 135 watches  
+[ml-ops](categories/ml-ops.md) category, created 2016-03-10, last commit 2023-03-03, main language Python  
+<sub><sup>analytics, business-intelligence, data-modeling, dbt-viewpoint, elt, pypa, slack</sup></sub>
+
+
+### [composer](https://github.com/mosaicml/composer) by [mosaicml](https://github.com/mosaicml)  
+composer: Train neural networks up to 7x faster  
+[http://docs.mosaicml.com](http://docs.mosaicml.com)  
+[https://github.com/mosaicml/composer](https://github.com/mosaicml/composer)  
+41 stars per week over 72 weeks  
+3,018 stars, 196 forks, 27 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-10-12, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, machine-learning, ml-efficiency, ml-systems, ml-training, neural-network, neural-networks, pytorch</sup></sub>
+
+
+### [seaborn](https://github.com/mwaskom/seaborn) by [mwaskom](https://github.com/mwaskom)  
+seaborn: Statistical data visualization in Python  
+[https://seaborn.pydata.org](https://seaborn.pydata.org)  
+[https://github.com/mwaskom/seaborn](https://github.com/mwaskom/seaborn)  
+18 stars per week over 558 weeks  
+10,425 stars, 1,709 forks, 252 watches  
+[viz](categories/viz.md) category, created 2012-06-18, last commit 2023-02-26, main language Python  
+<sub><sup>data-science, data-visualization, matplotlib, pandas, python</sup></sub>
+
+
+### [pre-commit](https://github.com/pre-commit/pre-commit)  
+pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.  
+[https://pre-commit.com](https://pre-commit.com)  
+[https://github.com/pre-commit/pre-commit](https://github.com/pre-commit/pre-commit)  
+21 stars per week over 468 weeks  
+9,894 stars, 709 forks, 90 watches  
+[util](categories/util.md) category, created 2014-03-13, last commit 2023-03-04, main language Python  
+<sub><sup>git, linter, pre-commit, python, refactoring</sup></sub>
+
+
+### [altair](https://github.com/altair-viz/altair) by [altair-viz](https://github.com/altair-viz)  
+altair: Declarative statistical visualization library for Python  
+[https://altair-viz.github.io/](https://altair-viz.github.io/)  
+[https://github.com/altair-viz/altair](https://github.com/altair-viz/altair)  
+20 stars per week over 389 weeks  
+8,090 stars, 717 forks, 147 watches  
+[viz](categories/viz.md) category, created 2015-09-19, last commit 2023-03-01, main language Python  
+
+
+### [luigi](https://github.com/spotify/luigi) by [spotify](https://github.com/spotify)  
+Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.   
+[https://github.com/spotify/luigi](https://github.com/spotify/luigi)  
+30 stars per week over 545 weeks  
+16,367 stars, 2,355 forks, 483 watches  
+[ml-ops](categories/ml-ops.md) category, created 2012-09-20, last commit 2023-02-25, main language Python  
+<sub><sup>hadoop, luigi, orchestration-framework, python, scheduling</sup></sub>
+
+
+### [networkx](https://github.com/networkx/networkx)  
+networkx: Network Analysis in Python  
+[https://networkx.org](https://networkx.org)  
+[https://github.com/networkx/networkx](https://github.com/networkx/networkx)  
+18 stars per week over 651 weeks  
+12,291 stars, 2,850 forks, 280 watches  
+[graph](categories/graph.md) category, created 2010-09-06, last commit 2023-03-02, main language Python  
+<sub><sup>complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, python</sup></sub>
+
+
+### [starlite](https://github.com/starlite-api/starlite) by [starlite-api](https://github.com/starlite-api)  
+starlite: Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs  
+[https://starliteproject.dev](https://starliteproject.dev)  
+[https://github.com/starlite-api/starlite](https://github.com/starlite-api/starlite)  
+27 stars per week over 64 weeks  
+1,765 stars, 174 forks, 26 watches  
+[web](categories/web.md) category, created 2021-12-06, last commit 2023-03-03, main language Python  
+<sub><sup>api, asgi, openapi, pydantic, python, redoc, rest, starlite, starlite-api, starlite-framework, swagger</sup></sub>
+
+
+### [metaflow](https://github.com/netflix/metaflow) by [netflix](https://github.com/netflix)  
+metaflow: :rocket: Build and manage real-life data science projects with ease!  
+[https://metaflow.org](https://metaflow.org)  
+[https://github.com/netflix/metaflow](https://github.com/netflix/metaflow)  
+35 stars per week over 180 weeks  
+6,450 stars, 614 forks, 248 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-09-17, last commit 2023-03-02, main language Python  
+<sub><sup>ai, aws, azure, data-science, datascience, gcp, high-performance-computing, kubernetes, machine-learning, ml, ml-infrastructure, ml-platform, mlops, model-management, productivity, python, r, r-package, reproducible-research, rstats</sup></sub>
+
+
+### [jupyterlite](https://github.com/jupyterlite/jupyterlite)  
+jupyterlite: Wasm powered Jupyter running in the browser 💡  
+[https://jupyterlite.rtfd.io/en/latest/try/lab](https://jupyterlite.rtfd.io/en/latest/try/lab)  
+[https://github.com/jupyterlite/jupyterlite](https://github.com/jupyterlite/jupyterlite)  
+30 stars per week over 101 weeks  
+3,096 stars, 194 forks, 43 watches  
+[jupyter](categories/jupyter.md) category, created 2021-03-27, last commit 2023-02-15, main language Python  
+<sub><sup>jupyter, jupyterlab, jupyterlab-extension, lite, pyodide, wasm, webassembly</sup></sub>
+
+
+### [openai-python](https://github.com/openai/openai-python) by [openai](https://github.com/openai)  
+openai-python: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.  
+[https://github.com/openai/openai-python](https://github.com/openai/openai-python)  
+39 stars per week over 123 weeks  
+4,856 stars, 779 forks, 114 watches  
+[util](categories/util.md) category, created 2020-10-25, last commit 2023-03-03, main language Python  
+<sub><sup>openai, python</sup></sub>
+
+
+### [stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity) by [lkwq007](https://github.com/lkwq007)  
+stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas  
+[https://github.com/lkwq007/stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity)  
+116 stars per week over 26 weeks  
+3,056 stars, 240 forks, 32 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-02, last commit 2023-01-24, main language Python  
+<sub><sup>outpainting, stablediffusion</sup></sub>
+
+
+### [BERTopic](https://github.com/maartengr/bertopic) by [maartengr](https://github.com/maartengr)  
+BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.   
+[https://maartengr.github.io/BERTopic/](https://maartengr.github.io/BERTopic/)  
+[https://github.com/maartengr/bertopic](https://github.com/maartengr/bertopic)  
+30 stars per week over 127 weeks  
+3,870 stars, 490 forks, 44 watches  
+[nlp](categories/nlp.md) category, created 2020-09-22, last commit 2023-03-02, main language Python  
+<sub><sup>bert, ldavis, machine-learning, nlp, sentence-embeddings, topic, topic-modeling, topic-modelling, topic-models, transformers</sup></sub>
+
+
+### [doccano](https://github.com/doccano/doccano)  
+doccano: Open source annotation tool for machine learning practitioners.  
+[https://doccano.herokuapp.com](https://doccano.herokuapp.com)  
+[https://github.com/doccano/doccano](https://github.com/doccano/doccano)  
+29 stars per week over 251 weeks  
+7,406 stars, 1,496 forks, 125 watches  
+[nlp](categories/nlp.md) category, created 2018-05-09, last commit 2023-03-03, main language Python  
+<sub><sup>annotation-tool, data-labeling, dataset, datasets, machine-learning, natural-language-processing, nuxt, nuxtjs, python, text-annotation, vue, vuejs</sup></sub>
+
+
+### [feast](https://github.com/feast-dev/feast) by [feast-dev](https://github.com/feast-dev)  
+feast: Feature Store for Machine Learning  
+[https://feast.dev](https://feast.dev)  
+[https://github.com/feast-dev/feast](https://github.com/feast-dev/feast)  
+18 stars per week over 220 weeks  
+4,027 stars, 752 forks, 74 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-12-10, last commit 2023-03-04, main language Python  
+<sub><sup>big-data, data-engineering, data-quality, data-science, feature-store, features, machine-learning, ml, mlops, python</sup></sub>
+
+
+### [spack](https://github.com/spack/spack)  
+spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.  
+[https://spack.io](https://spack.io)  
+[https://github.com/spack/spack](https://github.com/spack/spack)  
+6.77 stars per week over 477 weeks  
+3,233 stars, 1,839 forks, 103 watches  
+[util](categories/util.md) category, created 2014-01-08, last commit 2023-03-03, main language Python  
+<sub><sup>build-tools, hpc, linux, macos, package-manager, python, radiuss, scientific-computing, spack</sup></sub>
+
+
+### [gensim](https://github.com/rare-technologies/gensim) by [rare-technologies](https://github.com/rare-technologies)  
+gensim: Topic Modelling for Humans  
+[https://radimrehurek.com/gensim](https://radimrehurek.com/gensim)  
+[https://github.com/rare-technologies/gensim](https://github.com/rare-technologies/gensim)  
+22 stars per week over 629 weeks  
+14,019 stars, 4,327 forks, 430 watches  
+[nlp](categories/nlp.md) category, created 2011-02-10, last commit 2023-03-03, main language Python  
+<sub><sup>data-mining, data-science, document-similarity, fasttext, gensim, information-retrieval, machine-learning, natural-language-processing, neural-network, nlp, python, topic-modeling, word-embeddings, word-similarity, word2vec</sup></sub>
+
+
+### [pedalboard](https://github.com/spotify/pedalboard) by [spotify](https://github.com/spotify)  
+pedalboard: 🎛 🔊 A Python library for working with audio.  
+[https://github.com/spotify/pedalboard](https://github.com/spotify/pedalboard)  
+46 stars per week over 86 weeks  
+4,034 stars, 170 forks, 53 watches  
+[util](categories/util.md) category, created 2021-07-06, last commit 2023-02-22, main language C++  
+<sub><sup>audio, audio-processing, audio-production, audio-research, audio-unit, juce, pybind11, python, tensorflow, vst3, vst3-host</sup></sub>
+
+
+### [unilm](https://github.com/microsoft/unilm) by [microsoft](https://github.com/microsoft)  
+unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities  
+[https://aka.ms/nlpagi](https://aka.ms/nlpagi)  
+[https://github.com/microsoft/unilm](https://github.com/microsoft/unilm)  
+53 stars per week over 188 weeks  
+10,064 stars, 1,605 forks, 251 watches  
+[nlp](categories/nlp.md) category, created 2019-07-23, last commit 2023-03-01, main language Python  
+<sub><sup>beit, beit-3, deepnet, document-ai, document-foundation-model, foundation-models, language-generation, layoutlm, layoutxlm, llm, minilm, mllm, multimodal, multimodal-pre-trained-model, nlp, pre-trained-model, small-pre-trained-model, trocr, unilm, xlm-e</sup></sub>
+
+
+### [pyinstaller](https://github.com/pyinstaller/pyinstaller)  
+pyinstaller: Freeze (package) Python programs into stand-alone executables  
+[http://www.pyinstaller.org](http://www.pyinstaller.org)  
+[https://github.com/pyinstaller/pyinstaller](https://github.com/pyinstaller/pyinstaller)  
+17 stars per week over 588 weeks  
+10,076 stars, 1,860 forks, 232 watches  
+[util](categories/util.md) category, created 2011-11-23, last commit 2023-02-26, main language Python  
+<sub><sup>bundle, package, py2app, py2exe, pyinstaller, python, python-3, python-to-exe</sup></sub>
+
+
+### [mmcv](https://github.com/open-mmlab/mmcv) by [open-mmlab](https://github.com/open-mmlab)  
+mmcv: OpenMMLab Computer Vision Foundation  
+[https://mmcv.readthedocs.io/en/latest/](https://mmcv.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmcv](https://github.com/open-mmlab/mmcv)  
+19 stars per week over 236 weeks  
+4,727 stars, 1,408 forks, 84 watches  
+[ml](categories/ml.md) category, created 2018-08-22, last commit 2023-03-03, main language Python  
+
+
+### [boto3](https://github.com/boto/boto3) by [boto](https://github.com/boto)  
+boto3: AWS SDK for Python  
+[https://aws.amazon.com/sdk-for-python/](https://aws.amazon.com/sdk-for-python/)  
+[https://github.com/boto/boto3](https://github.com/boto/boto3)  
+18 stars per week over 439 weeks  
+7,925 stars, 1,729 forks, 240 watches  
+[util](categories/util.md) category, created 2014-10-03, last commit 2023-03-03, main language Python  
+<sub><sup>aws, aws-sdk, cloud, cloud-management, python</sup></sub>
+
+
+### [ParlAI](https://github.com/facebookresearch/parlai) by [facebookresearch](https://github.com/facebookresearch)  
+ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.  
+[https://parl.ai](https://parl.ai)  
+[https://github.com/facebookresearch/parlai](https://github.com/facebookresearch/parlai)  
+32 stars per week over 305 weeks  
+9,832 stars, 2,001 forks, 292 watches  
+[nlp](categories/nlp.md) category, created 2017-04-24, last commit 2023-02-24, main language Python  
+
+
+### [kivy](https://github.com/kivy/kivy)  
+kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS  
+[https://kivy.org](https://kivy.org)  
+[https://github.com/kivy/kivy](https://github.com/kivy/kivy)  
+24 stars per week over 643 weeks  
+15,574 stars, 2,997 forks, 620 watches  
+[util](categories/util.md) category, created 2010-11-03, last commit 2023-02-25, main language Python  
+<sub><sup>android, app, ios, kivy, linux, macos, python, ui, windows</sup></sub>
+
+
+### [tensor2tensor](https://github.com/tensorflow/tensor2tensor) by [tensorflow](https://github.com/tensorflow)  
+tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  
+[https://github.com/tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)  
+43 stars per week over 298 weeks  
+13,064 stars, 3,183 forks, 460 watches  
+[ml](categories/ml.md) category, created 2017-06-15, last commit 2023-02-17, main language Python  
+<sub><sup>deep-learning, machine-learning, machine-translation, reinforcement-learning, tpu</sup></sub>
+
+
+### [data-diff](https://github.com/datafold/data-diff) by [datafold](https://github.com/datafold)  
+data-diff: Efficiently diff data in or across relational databases  
+[https://www.datafold.com/blog/open-source-data-diff](https://www.datafold.com/blog/open-source-data-diff)  
+[https://github.com/datafold/data-diff](https://github.com/datafold/data-diff)  
+41 stars per week over 51 weeks  
+2,155 stars, 102 forks, 16 watches  
+[data](categories/data.md) category, created 2022-03-07, last commit 2023-03-04, main language Python  
+<sub><sup>data-engineering, data-quality, data-quality-monitoring, data-science, database, databricks-sql, dataengineering, dataquality, dbt, mysql, oracle-database, postgres, postgresql, python, rdbms, snowflake, sql, trino</sup></sub>
+
+
+### [robotframework](https://github.com/robotframework/robotframework)  
+robotframework: Generic automation framework for acceptance testing and RPA  
+[http://robotframework.org](http://robotframework.org)  
+[https://github.com/robotframework/robotframework](https://github.com/robotframework/robotframework)  
+17 stars per week over 453 weeks  
+7,804 stars, 2,092 forks, 475 watches  
+[testing](categories/testing.md) category, created 2014-06-27, last commit 2023-03-01, main language Python  
+<sub><sup>attd, automation, bdd, python, robotframework, rpa, testautomation, testing</sup></sub>
+
+
+### [setfit](https://github.com/huggingface/setfit) by [huggingface](https://github.com/huggingface)  
+setfit: Efficient few-shot learning with Sentence Transformers  
+[https://github.com/huggingface/setfit](https://github.com/huggingface/setfit)  
+32 stars per week over 35 weeks  
+1,164 stars, 118 forks, 16 watches  
+[nlp](categories/nlp.md) category, created 2022-06-30, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>few-shot-learning, nlp, sentence-transformers</sup></sub>
+
+
+### [river](https://github.com/online-ml/river) by [online-ml](https://github.com/online-ml)  
+river: 🌊 Online machine learning in Python  
+[https://riverml.xyz](https://riverml.xyz)  
+[https://github.com/online-ml/river](https://github.com/online-ml/river)  
+19 stars per week over 214 weeks  
+4,107 stars, 460 forks, 83 watches  
+[ml](categories/ml.md) category, created 2019-01-24, last commit 2023-03-03, main language Python  
+<sub><sup>concept-drift, data-science, incremental-learning, machine-learning, online-learning, online-machine-learning, online-statistics, python, real-time-processing, stream-processing, streaming, streaming-data</sup></sub>
+
+
+### [hydra](https://github.com/facebookresearch/hydra) by [facebookresearch](https://github.com/facebookresearch)  
+Hydra is a framework for elegantly configuring complex applications  
+[https://hydra.cc](https://hydra.cc)  
+[https://github.com/facebookresearch/hydra](https://github.com/facebookresearch/hydra)  
+35 stars per week over 194 weeks  
+6,848 stars, 561 forks, 87 watches  
+[util](categories/util.md) category, created 2019-06-12, last commit 2023-02-25, main language Python  
+
+
+### [diffusion-models-class](https://github.com/huggingface/diffusion-models-class) by [huggingface](https://github.com/huggingface)  
+diffusion-models-class: Materials for the Hugging Face Diffusion Models Course  
+[https://github.com/huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class)  
+94 stars per week over 20 weeks  
+1,937 stars, 175 forks, 72 watches  
+[study](categories/study.md) category, created 2022-10-13, last commit 2023-02-21, main language Jupyter Notebook  
+
+
+### [pymc](https://github.com/pymc-devs/pymc3) by [pymc-devs](https://github.com/pymc-devs)  
+pymc: Bayesian Modeling in Python  
+[https://docs.pymc.io/](https://docs.pymc.io/)  
+[https://github.com/pymc-devs/pymc3](https://github.com/pymc-devs/pymc3)  
+10 stars per week over 721 weeks  
+7,348 stars, 1,748 forks, 226 watches  
+[ml](categories/ml.md) category, created 2009-05-05, last commit 2023-03-02, main language Python  
+<sub><sup>bayesian-inference, mcmc, probabilistic-programming, pytensor, python, statistical-analysis, variational-inference</sup></sub>
+
+
+### [maltrail](https://github.com/stamparm/maltrail) by [stamparm](https://github.com/stamparm)  
+maltrail: Malicious traffic detection system  
+[https://github.com/stamparm/maltrail](https://github.com/stamparm/maltrail)  
+11 stars per week over 430 weeks  
+4,992 stars, 937 forks, 216 watches  
+[security](categories/security.md) category, created 2014-12-04, last commit 2023-03-04, main language Python  
+<sub><sup>attack-detection, intrusion-detection, malware, network-monitoring, python, security, sensor</sup></sub>
+
+
+### [astropy](https://github.com/astropy/astropy)  
+astropy: Astronomy and astrophysics core library  
+[https://www.astropy.org](https://www.astropy.org)  
+[https://github.com/astropy/astropy](https://github.com/astropy/astropy)  
+6.09 stars per week over 606 weeks  
+3,692 stars, 1,570 forks, 137 watches  
+[sim](categories/sim.md) category, created 2011-07-21, last commit 2023-03-03, main language Python  
+<sub><sup>astronomy, astrophysics, astropy, python, science</sup></sub>
+
+
+### [MONAI](https://github.com/project-monai/monai) by [project-monai](https://github.com/project-monai)  
+MONAI: AI Toolkit for Healthcare Imaging  
+[https://monai.io/](https://monai.io/)  
+[https://github.com/project-monai/monai](https://github.com/project-monai/monai)  
+21 stars per week over 177 weeks  
+3,811 stars, 740 forks, 88 watches  
+[ml](categories/ml.md) category, created 2019-10-11, last commit 2023-03-02, main language Python  
+<sub><sup>deep-learning, healthcare-imaging, medical-image-computing, medical-image-processing, monai, python3, pytorch</sup></sub>
+
+
+### [PySnooper](https://github.com/cool-rr/pysnooper) by [cool-rr](https://github.com/cool-rr)  
+PySnooper: Never use print for debugging again  
+[https://github.com/cool-rr/pysnooper](https://github.com/cool-rr/pysnooper)  
+77 stars per week over 202 weeks  
+15,700 stars, 938 forks, 234 watches  
+[debug](categories/debug.md) category, created 2019-04-18, last commit 2023-01-03, main language Python  
+<sub><sup>debug, debugger, introspection, logging, python</sup></sub>
+
+
+### [hypothesis](https://github.com/hypothesisworks/hypothesis) by [hypothesisworks](https://github.com/hypothesisworks)  
+Hypothesis is a powerful, flexible, and easy to use library for property-based testing.  
+[https://hypothesis.works](https://hypothesis.works)  
+[https://github.com/hypothesisworks/hypothesis](https://github.com/hypothesisworks/hypothesis)  
+12 stars per week over 521 weeks  
+6,552 stars, 550 forks, 68 watches  
+[testing](categories/testing.md) category, created 2013-03-10, last commit 2023-02-17, main language Python  
+<sub><sup>fuzzing, property-based-testing, python, testing</sup></sub>
+
+
+### [VToonify](https://github.com/williamyang1991/vtoonify) by [williamyang1991](https://github.com/williamyang1991)  
+[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer  
+[https://github.com/williamyang1991/vtoonify](https://github.com/williamyang1991/vtoonify)  
+116 stars per week over 25 weeks  
+2,948 stars, 358 forks, 59 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-09-09, last commit 2023-02-24, main language Jupyter Notebook  
+<sub><sup>face, siggraph-asia, style-transfer, stylegan2, toonify, video-style-transfer</sup></sub>
+
+
+### [grist-core](https://github.com/gristlabs/grist-core) by [gristlabs](https://github.com/gristlabs)  
+grist-core: Grist is the evolution of spreadsheets.  
+[https://support.getgrist.com/self-managed/](https://support.getgrist.com/self-managed/)  
+[https://github.com/gristlabs/grist-core](https://github.com/gristlabs/grist-core)  
+25 stars per week over 145 weeks  
+3,669 stars, 171 forks, 41 watches  
+[data](categories/data.md) category, created 2020-05-22, last commit 2023-03-03, main language TypeScript  
+<sub><sup>awesome, database, spreadsheet</sup></sub>
+
+
+### [refurb](https://github.com/dosisod/refurb) by [dosisod](https://github.com/dosisod)  
+refurb: A tool for refurbishing and modernizing Python codebases  
+[https://github.com/dosisod/refurb](https://github.com/dosisod/refurb)  
+68 stars per week over 31 weeks  
+2,153 stars, 42 forks, 16 watches  
+[util](categories/util.md) category, created 2022-07-27, last commit 2023-03-04, main language Python  
+<sub><sup>cli, gplv3, hacktoberfest, mypy, python, python310, testing</sup></sub>
+
+
+### [uvicorn](https://github.com/encode/uvicorn) by [encode](https://github.com/encode)  
+uvicorn: An ASGI web server, for Python. 🦄  
+[https://www.uvicorn.org/](https://www.uvicorn.org/)  
+[https://github.com/encode/uvicorn](https://github.com/encode/uvicorn)  
+20 stars per week over 300 weeks  
+6,218 stars, 551 forks, 84 watches  
+[web](categories/web.md) category, created 2017-05-31, last commit 2023-03-01, main language Python  
+<sub><sup>asgi, asyncio, http, http-server, python</sup></sub>
+
+
+### [wandb](https://github.com/wandb/client)  
+wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.  
+[https://wandb.ai](https://wandb.ai)  
+[https://github.com/wandb/client](https://github.com/wandb/client)  
+17 stars per week over 310 weeks  
+5,559 stars, 442 forks, 43 watches  
+[ml](categories/ml.md) category, created 2017-03-24, last commit 2023-03-04, main language Python  
+<sub><sup>collaboration, data-science, data-versioning, deep-learning, experiment-track, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, keras, machine-learning, ml-platform, mlops, model-versioning, pytorch, reinforcement-learning, reproducibility, tensorflow</sup></sub>
+
+
+### [orchest](https://github.com/orchest/orchest)  
+orchest: Build data pipelines, the easy way 🛠️  
+[https://orchest.io](https://orchest.io)  
+[https://github.com/orchest/orchest](https://github.com/orchest/orchest)  
+25 stars per week over 145 weeks  
+3,751 stars, 224 forks, 39 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-05-21, last commit 2023-01-20, main language Python  
+<sub><sup>airflow, cloud, dag, data-pipelines, data-science, deployment, docker, etl, etl-pipeline, ide, jupyter, jupyterlab, kubernetes, machine-learning, notebooks, orchest, pipelines, python, self-hosted</sup></sub>
+
+
+### [Open3D](https://github.com/isl-org/open3d) by [isl-org](https://github.com/isl-org)  
+Open3D: A Modern Library for 3D Data Processing  
+[http://www.open3d.org](http://www.open3d.org)  
+[https://github.com/isl-org/open3d](https://github.com/isl-org/open3d)  
+25 stars per week over 326 weeks  
+8,184 stars, 1,899 forks, 172 watches  
+[sim](categories/sim.md) category, created 2016-12-02, last commit 2023-03-04, main language C++  
+<sub><sup>3d, 3d-perception, arm, computer-graphics, cpp, cuda, gpu, gui, machine-learning, mesh-processing, odometry, opengl, pointcloud, python, pytorch, reconstruction, registration, rendering, tensorflow, visualization</sup></sub>
+
+
+### [sphinx](https://github.com/sphinx-doc/sphinx) by [sphinx-doc](https://github.com/sphinx-doc)  
+sphinx: The Sphinx documentation generator  
+[https://www.sphinx-doc.org/](https://www.sphinx-doc.org/)  
+[https://github.com/sphinx-doc/sphinx](https://github.com/sphinx-doc/sphinx)  
+12 stars per week over 426 weeks  
+5,244 stars, 1,878 forks, 142 watches  
+[util](categories/util.md) category, created 2015-01-02, last commit 2023-02-18, main language Python  
+<sub><sup>documentation, documentation-tool, markdown, python, restructuredtext, sphinx</sup></sub>
+
+
+### [sentence-transformers](https://github.com/ukplab/sentence-transformers) by [ukplab](https://github.com/ukplab)  
+sentence-transformers: Multilingual Sentence & Image Embeddings with BERT  
+[https://www.SBERT.net](https://www.SBERT.net)  
+[https://github.com/ukplab/sentence-transformers](https://github.com/ukplab/sentence-transformers)  
+50 stars per week over 188 weeks  
+9,570 stars, 1,869 forks, 119 watches  
+[nlp](categories/nlp.md) category, created 2019-07-24, last commit 2023-01-26, main language Python  
+
+
+### [jupytext](https://github.com/mwouts/jupytext) by [mwouts](https://github.com/mwouts)  
+jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts  
+[https://jupytext.readthedocs.io](https://jupytext.readthedocs.io)  
+[https://github.com/mwouts/jupytext](https://github.com/mwouts/jupytext)  
+23 stars per week over 246 weeks  
+5,851 stars, 379 forks, 68 watches  
+[jupyter](categories/jupyter.md) category, created 2018-06-15, last commit 2023-02-25, main language Python  
+<sub><sup>hydrogen, jupyter-notebook, jupyterlab, jupyterlab-extension, knitr, markdown, notebooks, python, rmarkdown, rstudio, version-control</sup></sub>
+
+
+### [BioGPT](https://github.com/microsoft/biogpt) by [microsoft](https://github.com/microsoft)  
+microsoft/biogpt  
+[https://github.com/microsoft/biogpt](https://github.com/microsoft/biogpt)  
+114 stars per week over 28 weeks  
+3,312 stars, 312 forks, 61 watches  
+[nlp](categories/nlp.md) category, created 2022-08-15, last commit 2023-02-13, main language Python  
+
+
+### [point-e](https://github.com/openai/point-e) by [openai](https://github.com/openai)  
+point-e: Point cloud diffusion for 3D model synthesis  
+[https://github.com/openai/point-e](https://github.com/openai/point-e)  
+354 stars per week over 12 weeks  
+4,512 stars, 458 forks, 166 watches  
+[util](categories/util.md) category, created 2022-12-06, last commit 2022-12-20, main language Python  
+
+
+### [loguru](https://github.com/delgan/loguru) by [delgan](https://github.com/delgan)  
+loguru: Python logging made (stupidly) simple  
+[https://github.com/delgan/loguru](https://github.com/delgan/loguru)  
+49 stars per week over 289 weeks  
+14,237 stars, 589 forks, 120 watches  
+[util](categories/util.md) category, created 2017-08-15, last commit 2023-03-03, main language Python  
+<sub><sup>log, logger, logging, python</sup></sub>
+
+
+### [darts](https://github.com/unit8co/darts) by [unit8co](https://github.com/unit8co)  
+darts: A python library for user-friendly forecasting and anomaly detection on time series.  
+[https://unit8co.github.io/darts/](https://unit8co.github.io/darts/)  
+[https://github.com/unit8co/darts](https://github.com/unit8co/darts)  
+23 stars per week over 233 weeks  
+5,483 stars, 603 forks, 46 watches  
+[time-series](categories/time-series.md) category, created 2018-09-13, last commit 2023-02-28, main language Python  
+<sub><sup>anomaly-detection, data-science, deep-learning, forecasting, machine-learning, python, time-series</sup></sub>
+
+
+### [codon](https://github.com/exaloop/codon) by [exaloop](https://github.com/exaloop)  
+codon: A high-performance, zero-overhead, extensible Python compiler using LLVM  
+[https://docs.exaloop.io/codon](https://docs.exaloop.io/codon)  
+[https://github.com/exaloop/codon](https://github.com/exaloop/codon)  
+76 stars per week over 74 weeks  
+5,694 stars, 191 forks, 48 watches  
+[perf](categories/perf.md) category, created 2021-09-27, last commit 2023-02-06, main language C++  
+<sub><sup>compiler, gpu-programming, high-performance, llvm, parallel-programming, python</sup></sub>
+
+
+### [cython](https://github.com/cython/cython)  
+cython: The most widely used Python to C compiler  
+[https://cython.org](https://cython.org)  
+[https://github.com/cython/cython](https://github.com/cython/cython)  
+12 stars per week over 641 weeks  
+7,713 stars, 1,364 forks, 231 watches  
+[util](categories/util.md) category, created 2010-11-21, last commit 2023-03-01, main language Python  
+<sub><sup>big-data, c, cpp, cpython, cpython-extensions, cython, performance, python</sup></sub>
+
+
+### [ml-agents](https://github.com/unity-technologies/ml-agents) by [unity-technologies](https://github.com/unity-technologies)  
+ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.  
+[https://unity.com/products/machine-learning-agents](https://unity.com/products/machine-learning-agents)  
+[https://github.com/unity-technologies/ml-agents](https://github.com/unity-technologies/ml-agents)  
+49 stars per week over 286 weeks  
+14,208 stars, 3,738 forks, 548 watches  
+[sim](categories/sim.md) category, created 2017-09-08, last commit 2023-01-25, main language C#  
+<sub><sup>deep-learning, deep-reinforcement-learning, machine-learning, neural-networks, reinforcement-learning, unity, unity3d</sup></sub>
+
+
+### [ydata-profiling](https://github.com/pandas-profiling/pandas-profiling) by [pandas-profiling](https://github.com/pandas-profiling)  
+ydata-profiling: Create HTML profiling reports from pandas DataFrame objects  
+[https://ydata-profiling.ydata.ai](https://ydata-profiling.ydata.ai)  
+[https://github.com/pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
+27 stars per week over 373 weeks  
+10,294 stars, 1,453 forks, 151 watches  
+[pandas](categories/pandas.md) category, created 2016-01-09, last commit 2023-01-30, main language Python  
+<sub><sup>big-data-analytics, data-analysis, data-exploration, data-profiling, data-quality, data-science, deep-learning, eda, exploration, exploratory-data-analysis, hacktoberfest, html-report, jupyter, jupyter-notebook, machine-learning, pandas, pandas-dataframe, pandas-profiling, python, statistics</sup></sub>
+
+
+### [cookiecutter](https://github.com/cookiecutter/cookiecutter)  
+cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.  
+[https://pypi.org/project/cookiecutter/](https://pypi.org/project/cookiecutter/)  
+[https://github.com/cookiecutter/cookiecutter](https://github.com/cookiecutter/cookiecutter)  
+37 stars per week over 503 weeks  
+19,044 stars, 1,798 forks, 232 watches  
+[template](categories/template.md) category, created 2013-07-14, last commit 2022-09-09, main language Python  
+<sub><sup>cookiecutter, python</sup></sub>
+
+
+### [detr](https://github.com/facebookresearch/detr) by [facebookresearch](https://github.com/facebookresearch)  
+detr: End-to-End Object Detection with Transformers  
+[https://github.com/facebookresearch/detr](https://github.com/facebookresearch/detr)  
+72 stars per week over 144 weeks  
+10,503 stars, 1,929 forks, 150 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-05-26, last commit 2023-02-07, main language Python  
+
+
+### [prettymaps](https://github.com/marceloprates/prettymaps) by [marceloprates](https://github.com/marceloprates)  
+prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.  
+[https://github.com/marceloprates/prettymaps](https://github.com/marceloprates/prettymaps)  
+87 stars per week over 104 weeks  
+9,085 stars, 442 forks, 73 watches  
+[viz](categories/viz.md) category, created 2021-03-05, last commit 2023-02-15, main language Jupyter Notebook  
+<sub><sup>cartography, generative-art, jupyter-notebook, maps, matplotlib, openstreetmap, python</sup></sub>
+
+
+### [nltk](https://github.com/nltk/nltk)  
+NLTK Source  
+[https://www.nltk.org](https://www.nltk.org)  
+[https://github.com/nltk/nltk](https://github.com/nltk/nltk)  
+16 stars per week over 703 weeks  
+11,586 stars, 2,696 forks, 468 watches  
+[nlp](categories/nlp.md) category, created 2009-09-07, last commit 2023-02-20, main language Python  
+<sub><sup>machine-learning, natural-language-processing, nlp, nltk, python</sup></sub>
+
+
+### [django-ninja](https://github.com/vitalik/django-ninja) by [vitalik](https://github.com/vitalik)  
+django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs  
+[https://django-ninja.rest-framework.com](https://django-ninja.rest-framework.com)  
+[https://github.com/vitalik/django-ninja](https://github.com/vitalik/django-ninja)  
+28 stars per week over 145 weeks  
+4,107 stars, 262 forks, 62 watches  
+[web](categories/web.md) category, created 2020-05-19, last commit 2023-02-24, main language Python  
+<sub><sup>django, django-ninja, openapi, pydantic, python, rest-api, swagger, swagger-ui</sup></sub>
+
+
+### [dowhy](https://github.com/py-why/dowhy) by [py-why](https://github.com/py-why)  
+DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.   
+[https://www.pywhy.org/dowhy](https://www.pywhy.org/dowhy)  
+[https://github.com/py-why/dowhy](https://github.com/py-why/dowhy)  
+22 stars per week over 248 weeks  
+5,706 stars, 817 forks, 136 watches  
+[ml](categories/ml.md) category, created 2018-05-31, last commit 2023-02-14, main language Python  
+<sub><sup>bayesian-networks, causal-inference, causal-machine-learning, causal-models, causality, data-science, do-calculus, graphical-models, machine-learning, python3, treatment-effects</sup></sub>
+
+
+### [shap](https://github.com/slundberg/shap) by [slundberg](https://github.com/slundberg)  
+shap: A game theoretic approach to explain the output of any machine learning model.  
+[https://github.com/slundberg/shap](https://github.com/slundberg/shap)  
+57 stars per week over 327 weeks  
+18,682 stars, 2,815 forks, 263 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2016-11-22, last commit 2022-06-16, main language Jupyter Notebook  
+<sub><sup>deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley</sup></sub>
+
+
+### [gdal](https://github.com/osgeo/gdal) by [osgeo](https://github.com/osgeo)  
+GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.  
+[https://gdal.org](https://gdal.org)  
+[https://github.com/osgeo/gdal](https://github.com/osgeo/gdal)  
+6.69 stars per week over 542 weeks  
+3,633 stars, 2,021 forks, 163 watches  
+[gis](categories/gis.md) category, created 2012-10-09, last commit 2023-03-02, main language C++  
+<sub><sup>geospatial-data, raster, remote-sensing, vector</sup></sub>
+
+
+### [strawberry](https://github.com/strawberry-graphql/strawberry) by [strawberry-graphql](https://github.com/strawberry-graphql)  
+strawberry: A GraphQL library for Python that leverages type annotations 🍓  
+[https://strawberry.rocks](https://strawberry.rocks)  
+[https://github.com/strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry)  
+13 stars per week over 219 weeks  
+2,986 stars, 374 forks, 40 watches  
+[web](categories/web.md) category, created 2018-12-21, last commit 2023-03-02, main language Python  
+<sub><sup>asgi, asyncio, django, graphql, graphql-library, graphql-schema, graphql-server, hacktoberfest, mypy, python, starlette, strawberry</sup></sub>
+
+
+### [handson-ml2](https://github.com/ageron/handson-ml2) by [ageron](https://github.com/ageron)  
+handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.  
+[https://github.com/ageron/handson-ml2](https://github.com/ageron/handson-ml2)  
+111 stars per week over 216 weeks  
+24,242 stars, 11,679 forks, 632 watches  
+[ml](categories/ml.md) category, created 2019-01-08, last commit 2023-02-04, main language Jupyter Notebook  
+
+
+### [gluonts](https://github.com/awslabs/gluonts) by [awslabs](https://github.com/awslabs)  
+gluonts: Probabilistic time series modeling in Python  
+[https://ts.gluon.ai](https://ts.gluon.ai)  
+[https://github.com/awslabs/gluonts](https://github.com/awslabs/gluonts)  
+17 stars per week over 198 weeks  
+3,381 stars, 681 forks, 70 watches  
+[time-series](categories/time-series.md) category, created 2019-05-15, last commit 2023-03-02, main language Python  
+<sub><sup>artificial-intelligence, aws, data-science, deep-learning, forecasting, machine-learning, mxnet, neural-networks, pytorch, sagemaker, time-series, time-series-forecasting, time-series-prediction, timeseries</sup></sub>
+
+
+### [mmediting](https://github.com/open-mmlab/mmediting) by [open-mmlab](https://github.com/open-mmlab)  
+mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox  
+[https://mmediting.readthedocs.io/en/latest/](https://mmediting.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmediting](https://github.com/open-mmlab/mmediting)  
+22 stars per week over 184 weeks  
+4,101 stars, 732 forks, 87 watches  
+[ml](categories/ml.md) category, created 2019-08-23, last commit 2023-02-24, main language Python  
+<sub><sup>computer-vision, deep-learning, generative-adversarial-network, image-editing, image-generation, image-processing, image-synthesis, inpainting, matting, pytorch, super-resolution, video-frame-interpolation, video-interpolation, video-super-resolution</sup></sub>
+
+
+### [latexify_py](https://github.com/google/latexify_py) by [google](https://github.com/google)  
+latexify_py: A library to generate LaTeX expression from Python code.  
+[https://github.com/google/latexify_py](https://github.com/google/latexify_py)  
+44 stars per week over 136 weeks  
+6,038 stars, 328 forks, 52 watches  
+[util](categories/util.md) category, created 2020-07-25, last commit 2023-01-14, main language Python  
+
+
+### [statsforecast](https://github.com/nixtla/statsforecast) by [nixtla](https://github.com/nixtla)  
+statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.  
+[https://nixtla.github.io/statsforecast/](https://nixtla.github.io/statsforecast/)  
+[https://github.com/nixtla/statsforecast](https://github.com/nixtla/statsforecast)  
+34 stars per week over 66 weeks  
+2,300 stars, 147 forks, 18 watches  
+[time-series](categories/time-series.md) category, created 2021-11-24, last commit 2023-03-04, main language Python  
+<sub><sup>arima, automl, baselines, data-science, econometrics, ets, exponential-smoothing, fbprophet, forecasting, machine-learning, mstl, naive, neuralprophet, predictions, prophet, python, seasonal-naive, statistics, theta, time-series</sup></sub>
+
+
+### [pyro](https://github.com/pyro-ppl/pyro) by [pyro-ppl](https://github.com/pyro-ppl)  
+pyro: Deep universal probabilistic programming with Python and PyTorch  
+[http://pyro.ai](http://pyro.ai)  
+[https://github.com/pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)  
+26 stars per week over 298 weeks  
+7,813 stars, 965 forks, 201 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-06-16, last commit 2023-03-04, main language Python  
+<sub><sup>bayesian, bayesian-inference, deep-learning, machine-learning, probabilistic-modeling, probabilistic-programming, python, pytorch, variational-inference</sup></sub>
+
+
+### [txtai](https://github.com/neuml/txtai) by [neuml](https://github.com/neuml)  
+txtai: 💡 Build AI-powered semantic search applications   
+[https://neuml.github.io/txtai](https://neuml.github.io/txtai)  
+[https://github.com/neuml/txtai](https://github.com/neuml/txtai)  
+26 stars per week over 134 weeks  
+3,515 stars, 303 forks, 62 watches  
+[nlp](categories/nlp.md) category, created 2020-08-09, last commit 2023-03-03, main language Python  
+<sub><sup>api, audio-search, cloud-native, contextual-search, deep-learning, document-search, image-search, machine-learning, machine-learning-pipelines, machine-learning-workflows, microservice, neural-search, nlp, python, search, semantic-search, similarity-search, txtai, vector-search, video-search</sup></sub>
+
+
+### [PythonRobotics](https://github.com/atsushisakai/pythonrobotics) by [atsushisakai](https://github.com/atsushisakai)  
+PythonRobotics: Python sample codes for robotics algorithms.  
+[https://atsushisakai.github.io/PythonRobotics/](https://atsushisakai.github.io/PythonRobotics/)  
+[https://github.com/atsushisakai/pythonrobotics](https://github.com/atsushisakai/pythonrobotics)  
+48 stars per week over 362 weeks  
+17,654 stars, 5,545 forks, 505 watches  
+[sim](categories/sim.md) category, created 2016-03-21, last commit 2023-02-21, main language Python  
+<sub><sup>algorithm, animation, autonomous-driving, autonomous-navigation, autonomous-vehicles, control, cvxpy, ekf, hacktoberfest, localization, mapping, path-planning, python, robot, robotics, slam</sup></sub>
+
+
+### [deep-rl-class](https://github.com/huggingface/deep-rl-class) by [huggingface](https://github.com/huggingface)  
+deep-rl-class: This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.  
+[https://github.com/huggingface/deep-rl-class](https://github.com/huggingface/deep-rl-class)  
+59 stars per week over 45 weeks  
+2,694 stars, 355 forks, 85 watches  
+[study](categories/study.md) category, created 2022-04-21, last commit 2023-03-02, main language Jupyter Notebook  
+<sub><sup>deep-learning, deep-reinforcement-learning, reinforcement-learning, reinforcement-learning-excercises</sup></sub>
+
+
+### [sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk) by [aws](https://github.com/aws)  
+sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker  
+[https://sagemaker.readthedocs.io/](https://sagemaker.readthedocs.io/)  
+[https://github.com/aws/sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk)  
+6.45 stars per week over 276 weeks  
+1,785 stars, 937 forks, 135 watches  
+[ml](categories/ml.md) category, created 2017-11-14, last commit 2023-03-03, main language Python  
+<sub><sup>aws, huggingface, machine-learning, mxnet, python, pytorch, sagemaker, tensorflow</sup></sub>
+
+
+### [autokeras](https://github.com/keras-team/autokeras) by [keras-team](https://github.com/keras-team)  
+autokeras: AutoML library for deep learning  
+[http://autokeras.com/](http://autokeras.com/)  
+[https://github.com/keras-team/autokeras](https://github.com/keras-team/autokeras)  
+31 stars per week over 276 weeks  
+8,758 stars, 1,394 forks, 306 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-11-19, last commit 2023-02-22, main language Python  
+<sub><sup>autodl, automated-machine-learning, automl, deep-learning, keras, machine-learning, neural-architecture-search, python, tensorflow</sup></sub>
+
+
+### [DeepFaceLab](https://github.com/iperov/deepfacelab) by [iperov](https://github.com/iperov)  
+DeepFaceLab is the leading software for creating deepfakes.  
+[https://github.com/iperov/deepfacelab](https://github.com/iperov/deepfacelab)  
+152 stars per week over 247 weeks  
+37,675 stars, 8,436 forks, 1,056 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-06-04, last commit 2022-12-31, main language Python  
+<sub><sup>arxiv, creating-deepfakes, deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfacelab, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, neural-nets, neural-networks</sup></sub>
+
+
+### [trio](https://github.com/python-trio/trio) by [python-trio](https://github.com/python-trio)  
+Trio – a friendly Python library for async concurrency and I/O  
+[https://trio.readthedocs.io](https://trio.readthedocs.io)  
+[https://github.com/python-trio/trio](https://github.com/python-trio/trio)  
+16 stars per week over 319 weeks  
+5,199 stars, 294 forks, 88 watches  
+[perf](categories/perf.md) category, created 2017-01-16, last commit 2023-03-03, main language Python  
+<sub><sup>async, async-await, io, networking, python, structured-concurrency, trio</sup></sub>
+
+
+### [cleanlab](https://github.com/cleanlab/cleanlab)  
+cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.  
+[https://cleanlab.ai](https://cleanlab.ai)  
+[https://github.com/cleanlab/cleanlab](https://github.com/cleanlab/cleanlab)  
+21 stars per week over 251 weeks  
+5,424 stars, 455 forks, 70 watches  
+[ml](categories/ml.md) category, created 2018-05-11, last commit 2023-03-01, main language Python  
+<sub><sup>active-learning, annotations, classification, crowdsourcing, data-centric-ai, data-cleaning, data-labeling, data-quality, data-science, data-validation, entity-recognition, exploratory-data-analysis, image-tagging, label-errors, machine-learning, noisy-labels, out-of-distribution-detection, outlier-detection, robust-machine-learning, weak-supervision</sup></sub>
+
+
+### [pip-tools](https://github.com/jazzband/pip-tools) by [jazzband](https://github.com/jazzband)  
+pip-tools: A set of tools to keep your pinned Python dependencies fresh.  
+[https://pip-tools.rtfd.io](https://pip-tools.rtfd.io)  
+[https://github.com/jazzband/pip-tools](https://github.com/jazzband/pip-tools)  
+12 stars per week over 546 weeks  
+6,660 stars, 567 forks, 105 watches  
+[util](categories/util.md) category, created 2012-09-10, last commit 2023-03-02, main language Python  
+<sub><sup>hashes, lockfile, packaging, pip, pip-compile, pip-tools, python, requirements, setuptools</sup></sub>
+
+
+### [scikit-image](https://github.com/scikit-image/scikit-image)  
+scikit-image: Image processing in Python  
+[https://scikit-image.org](https://scikit-image.org)  
+[https://github.com/scikit-image/scikit-image](https://github.com/scikit-image/scikit-image)  
+8.67 stars per week over 608 weeks  
+5,277 stars, 2,106 forks, 185 watches  
+[util](categories/util.md) category, created 2011-07-07, last commit 2023-03-02, main language Python  
+<sub><sup>closember, computer-vision, hacktoberfest, image-processing, python</sup></sub>
+
+
+### [pyston](https://github.com/pyston/pyston)  
+pyston: A faster and highly-compatible implementation of the Python programming language.  
+[https://www.pyston.org/](https://www.pyston.org/)  
+[https://github.com/pyston/pyston](https://github.com/pyston/pyston)  
+22 stars per week over 104 weeks  
+2,348 stars, 85 forks, 34 watches  
+[util](categories/util.md) category, created 2021-03-01, last commit 2023-02-28, main language Python  
+
+
+### [argilla](https://github.com/recognai/rubrix) by [recognai](https://github.com/recognai)  
+argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.  
+[https://docs.argilla.io](https://docs.argilla.io)  
+[https://github.com/recognai/rubrix](https://github.com/recognai/rubrix)  
+17 stars per week over 96 weeks  
+1,668 stars, 155 forks, 19 watches  
+[nlp](categories/nlp.md) category, created 2021-04-28, last commit 2023-03-03, main language Python  
+<sub><sup>active-learning, annotation-tool, artificial-intelligence, data-science, dataops, developer-tools, hacktoberfest, human-in-the-loop, knowledge-graph, machine-learning, mlops, natural-language-processing, nlp, python, spacy, text-annotation, text-classification, text-labeling, weak-supervision, weakly-supervised-learning</sup></sub>
+
+
+### [notebooks](https://github.com/roboflow/notebooks) by [roboflow](https://github.com/roboflow)  
+notebooks: Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.  
+[https://roboflow.com/models](https://roboflow.com/models)  
+[https://github.com/roboflow/notebooks](https://github.com/roboflow/notebooks)  
+55 stars per week over 15 weeks  
+841 stars, 130 forks, 23 watches  
+[study](categories/study.md) category, created 2022-11-18, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>amazon-sagemaker-lab, computer-vision, deep-learning, deep-neural-networks, google-colab, image-classification, image-segmentation, kaggle, machine-learning, object-detection, pytorch, tutorial, yolov5, yolov6, yolov7, yolov8</sup></sub>
+
+
+### [deeplearning-models](https://github.com/rasbt/deeplearning-models) by [rasbt](https://github.com/rasbt)  
+deeplearning-models: A collection of various deep learning architectures, models, and tips  
+[https://github.com/rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)  
+79 stars per week over 195 weeks  
+15,637 stars, 3,853 forks, 594 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-06-05, last commit 2023-02-16, main language Jupyter Notebook  
+
+
+### [aim](https://github.com/aimhubio/aim) by [aimhubio](https://github.com/aimhubio)  
+Aim 💫 — easy-to-use and performant open-source ML experiment tracker.  
+[https://aimstack.io](https://aimstack.io)  
+[https://github.com/aimhubio/aim](https://github.com/aimhubio/aim)  
+16 stars per week over 196 weeks  
+3,207 stars, 201 forks, 37 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-05-31, last commit 2023-03-02, main language TypeScript  
+<sub><sup>ai, data-science, data-visualization, experiment-tracking, machine-learning, metadata, metadata-tracking, ml, mlflow, mlops, python, pytorch, tensorboard, tensorflow, visualization</sup></sub>
+
+
+### [graphene](https://github.com/graphql-python/graphene) by [graphql-python](https://github.com/graphql-python)  
+graphene: GraphQL framework for Python  
+[http://graphene-python.org/](http://graphene-python.org/)  
+[https://github.com/graphql-python/graphene](https://github.com/graphql-python/graphene)  
+19 stars per week over 388 weeks  
+7,591 stars, 812 forks, 144 watches  
+[web](categories/web.md) category, created 2015-09-24, last commit 2023-03-03, main language Python  
+<sub><sup>framework, graphene, graphql, python, relay</sup></sub>
+
+
+### [clearml](https://github.com/allegroai/clearml) by [allegroai](https://github.com/allegroai)  
+ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management  
+[https://clear.ml/docs](https://clear.ml/docs)  
+[https://github.com/allegroai/clearml](https://github.com/allegroai/clearml)  
+21 stars per week over 194 weeks  
+4,149 stars, 563 forks, 85 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-06-10, last commit 2023-03-02, main language Python  
+<sub><sup>ai, clearml, control, deep-learning, deeplearning, devops, experiment, experiment-manager, k8s, machine-learning, machinelearning, mlops, trains, trainsai, version, version-control</sup></sub>
+
+
+### [pyre-check](https://github.com/facebook/pyre-check) by [facebook](https://github.com/facebook)  
+pyre-check: Performant type-checking for python.  
+[https://pyre-check.org/](https://pyre-check.org/)  
+[https://github.com/facebook/pyre-check](https://github.com/facebook/pyre-check)  
+22 stars per week over 277 weeks  
+6,261 stars, 417 forks, 112 watches  
+[typing](categories/typing.md) category, created 2017-11-10, last commit 2023-03-03, main language OCaml  
+<sub><sup>abstract-interpretation, code-quality, control-flow-analysis, ocaml, program-analysis, python, security, static-analysis, taint-analysis, type-check, typechecker</sup></sub>
+
+
+### [cryptography](https://github.com/pyca/cryptography) by [pyca](https://github.com/pyca)  
+cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.  
+[https://cryptography.io](https://cryptography.io)  
+[https://github.com/pyca/cryptography](https://github.com/pyca/cryptography)  
+10 stars per week over 499 weeks  
+5,391 stars, 1,141 forks, 121 watches  
+[util](categories/util.md) category, created 2013-08-07, last commit 2023-03-04, main language Python  
+<sub><sup>cryptography, python</sup></sub>
+
+
+### [torchrec](https://github.com/pytorch/torchrec) by [pytorch](https://github.com/pytorch)  
+torchrec: Pytorch domain library for recommendation systems  
+[https://github.com/pytorch/torchrec](https://github.com/pytorch/torchrec)  
+15 stars per week over 85 weeks  
+1,325 stars, 229 forks, 26 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-07-12, last commit 2023-03-02, main language Python  
+<sub><sup>cuda, deep-learning, gpu, pytorch, recommendation-system, recommender-system, sharding</sup></sub>
+
+
+### [alpa](https://github.com/alpa-projects/alpa) by [alpa-projects](https://github.com/alpa-projects)  
+alpa: Training and serving large-scale neural networks  
+[https://alpa.ai](https://alpa.ai)  
+[https://github.com/alpa-projects/alpa](https://github.com/alpa-projects/alpa)  
+18 stars per week over 105 weeks  
+1,958 stars, 241 forks, 33 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-02-22, last commit 2023-02-28, main language Python  
+<sub><sup>alpa, auto-parallelization, compiler, deep-learning, distributed-computing, distributed-training, high-performance-computing, jax, llm, machine-learning</sup></sub>
+
+
+### [ignite](https://github.com/pytorch/ignite) by [pytorch](https://github.com/pytorch)  
+ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.  
+[https://pytorch-ignite.ai](https://pytorch-ignite.ai)  
+[https://github.com/pytorch/ignite](https://github.com/pytorch/ignite)  
+15 stars per week over 275 weeks  
+4,212 stars, 584 forks, 59 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-11-23, last commit 2023-02-27, main language Python  
+<sub><sup>closember, deep-learning, hacktoberfest, machine-learning, metrics, neural-network, python, pytorch</sup></sub>
+
+
+### [evidently](https://github.com/evidentlyai/evidently) by [evidentlyai](https://github.com/evidentlyai)  
+evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b  
+[https://github.com/evidentlyai/evidently](https://github.com/evidentlyai/evidently)  
+26 stars per week over 118 weeks  
+3,193 stars, 346 forks, 36 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-11-25, last commit 2023-03-03, main language Python  
+<sub><sup>data-drift, data-science, hacktoberfest, html-report, jupyter-notebook, machine-learning, machine-learning-operations, mlops, model-monitoring, pandas-dataframe, production-machine-learning</sup></sub>
+
+
+### [evaluate](https://github.com/huggingface/evaluate) by [huggingface](https://github.com/huggingface)  
+🤗 Evaluate: A library for easily evaluating machine learning models and datasets.  
+[https://huggingface.co/docs/evaluate](https://huggingface.co/docs/evaluate)  
+[https://github.com/huggingface/evaluate](https://github.com/huggingface/evaluate)  
+24 stars per week over 48 weeks  
+1,169 stars, 117 forks, 43 watches  
+[ml](categories/ml.md) category, created 2022-03-30, last commit 2023-03-01, main language Python  
+<sub><sup>evaluation, machine-learning</sup></sub>
+
+
+### [voila](https://github.com/voila-dashboards/voila) by [voila-dashboards](https://github.com/voila-dashboards)  
+voila: Voilà turns Jupyter notebooks into standalone web applications  
+[https://voila.readthedocs.io](https://voila.readthedocs.io)  
+[https://github.com/voila-dashboards/voila](https://github.com/voila-dashboards/voila)  
+19 stars per week over 236 weeks  
+4,586 stars, 459 forks, 78 watches  
+[jupyter](categories/jupyter.md) category, created 2018-08-21, last commit 2023-03-03, main language Python  
+<sub><sup>dashboarding, jupyter, jupyter-notebook, jupyterlab-extension</sup></sub>
+
+
+### [pipelines](https://github.com/kubeflow/pipelines) by [kubeflow](https://github.com/kubeflow)  
+pipelines: Machine Learning Pipelines for Kubeflow  
+[https://www.kubeflow.org/docs/components/pipelines/](https://www.kubeflow.org/docs/components/pipelines/)  
+[https://github.com/kubeflow/pipelines](https://github.com/kubeflow/pipelines)  
+12 stars per week over 251 weeks  
+3,120 stars, 1,394 forks, 102 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-05-12, last commit 2023-03-04, main language Python  
+<sub><sup>data-science, kubeflow, kubeflow-pipelines, kubernetes, machine-learning, mlops, pipeline</sup></sub>
+
+
+### [flyte](https://github.com/flyteorg/flyte) by [flyteorg](https://github.com/flyteorg)  
+flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.  
+[https://flyte.org](https://flyte.org)  
+[https://github.com/flyteorg/flyte](https://github.com/flyteorg/flyte)  
+17 stars per week over 175 weeks  
+3,138 stars, 329 forks, 266 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-10-21, last commit 2023-03-04, main language Python  
+<sub><sup>battle-tested, data, data-analysis, data-science, dataops, declarative, flyte, golang, grpc, hacktoberfest, kubernetes, kubernetes-operator, machine-learning, mlops, orchestration-engine, production, production-grade, python, scale, workflow</sup></sub>
 
 
-### [Photon](https://github.com/s0md3v/photon) by [s0md3v](https://github.com/s0md3v)  
-Photon: Incredibly fast crawler designed for OSINT.  
-[https://github.com/s0md3v/photon](https://github.com/s0md3v/photon)  
-37 stars per week over 244 weeks  
-9,197 stars, 1,358 forks, 324 watches  
-[data](categories/data.md) category, created 2018-03-30, last commit 2022-03-16, main language Python  
-<sub><sup>crawler, information-gathering, osint, python, spider</sup></sub>
+### [Mask_RCNN](https://github.com/matterport/mask_rcnn) by [matterport](https://github.com/matterport)  
+Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow  
+[https://github.com/matterport/mask_rcnn](https://github.com/matterport/mask_rcnn)  
+81 stars per week over 280 weeks  
+22,741 stars, 11,272 forks, 596 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-10-19, last commit 2019-03-31, main language Python  
+<sub><sup>instance-segmentation, keras, mask-rcnn, object-detection, tensorflow</sup></sub>
 
 
-### [DearPyGui](https://github.com/hoffstadt/dearpygui) by [hoffstadt](https://github.com/hoffstadt)  
-DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies  
-[https://dearpygui.readthedocs.io/en/latest/](https://dearpygui.readthedocs.io/en/latest/)  
-[https://github.com/hoffstadt/dearpygui](https://github.com/hoffstadt/dearpygui)  
-69 stars per week over 131 weeks  
-9,195 stars, 487 forks, 135 watches  
-[gui](categories/gui.md) category, created 2020-05-28, last commit 2022-12-01, main language C++  
-<sub><sup>cpp, cross-platform, dearpygui, graphics, gui, imgui, linux, macos, native, python, python-gui, toolkit, tools, ui, windows</sup></sub>
+### [deepchecks](https://github.com/deepchecks/deepchecks)  
+Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.  
+[https://docs.deepchecks.com/stable](https://docs.deepchecks.com/stable)  
+[https://github.com/deepchecks/deepchecks](https://github.com/deepchecks/deepchecks)  
+33 stars per week over 72 weeks  
+2,460 stars, 179 forks, 11 watches  
+[data](categories/data.md) category, created 2021-10-11, last commit 2023-03-03, main language Python  
+<sub><sup>data-drift, data-science, data-validation, deep-learning, html-report, jupyter-notebook, machine-learning, ml, mlops, model-monitoring, model-validation, pandas-dataframe, python, pytorch</sup></sub>
 
 
-### [uvloop](https://github.com/magicstack/uvloop) by [magicstack](https://github.com/magicstack)  
-uvloop: Ultra fast asyncio event loop.  
-[https://github.com/magicstack/uvloop](https://github.com/magicstack/uvloop)  
-24 stars per week over 369 weeks  
-9,053 stars, 522 forks, 225 watches  
-[util](categories/util.md) category, created 2015-11-08, last commit 2022-09-14, main language Cython  
-<sub><sup>async, async-await, async-python, asyncio, event-loop, high-performance, libuv, networking, python, python-3</sup></sub>
+### [allennlp](https://github.com/allenai/allennlp) by [allenai](https://github.com/allenai)  
+allennlp: An open-source NLP research library, built on PyTorch.  
+[http://www.allennlp.org](http://www.allennlp.org)  
+[https://github.com/allenai/allennlp](https://github.com/allenai/allennlp)  
+37 stars per week over 302 weeks  
+11,413 stars, 2,242 forks, 281 watches  
+[nlp](categories/nlp.md) category, created 2017-05-15, last commit 2022-11-22, main language Python  
+<sub><sup>data-science, deep-learning, natural-language-processing, nlp, python, pytorch</sup></sub>
 
 
-### [sqlmodel](https://github.com/tiangolo/sqlmodel) by [tiangolo](https://github.com/tiangolo)  
-sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.  
-[https://sqlmodel.tiangolo.com/](https://sqlmodel.tiangolo.com/)  
-[https://github.com/tiangolo/sqlmodel](https://github.com/tiangolo/sqlmodel)  
-134 stars per week over 67 weeks  
-9,026 stars, 385 forks, 114 watches  
-[data](categories/data.md) category, created 2021-08-24, last commit 2022-11-12, main language Python  
-<sub><sup>fastapi, json, json-schema, pydantic, python, sql, sqlalchemy</sup></sub>
+### [paramiko](https://github.com/paramiko/paramiko)  
+paramiko: The leading native Python SSHv2 protocol library.  
+[http://paramiko.org](http://paramiko.org)  
+[https://github.com/paramiko/paramiko](https://github.com/paramiko/paramiko)  
+11 stars per week over 734 weeks  
+8,190 stars, 1,915 forks, 319 watches  
+[util](categories/util.md) category, created 2009-02-02, last commit 2023-03-03, main language Python  
 
 
-### [falcon](https://github.com/falconry/falcon) by [falconry](https://github.com/falconry)  
-falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.  
-[https://falcon.readthedocs.io/en/stable/](https://falcon.readthedocs.io/en/stable/)  
-[https://github.com/falconry/falcon](https://github.com/falconry/falcon)  
-17 stars per week over 521 weeks  
-8,965 stars, 897 forks, 266 watches  
-[web](categories/web.md) category, created 2012-12-06, last commit 2022-12-02, main language Python  
-<sub><sup>api, api-rest, asgi, framework, hacktoberfest, hacktoberfest-accepted, hacktoberfest2022, http, microservices, python, rest, web, wsgi</sup></sub>
+### [PyOxidizer](https://github.com/indygreg/pyoxidizer) by [indygreg](https://github.com/indygreg)  
+PyOxidizer: A modern Python application packaging and distribution tool  
+[https://github.com/indygreg/pyoxidizer](https://github.com/indygreg/pyoxidizer)  
+20 stars per week over 219 weeks  
+4,548 stars, 197 forks, 60 watches  
+[util](categories/util.md) category, created 2018-12-18, last commit 2023-01-21, main language Rust  
 
 
-### [sentence-transformers](https://github.com/ukplab/sentence-transformers) by [ukplab](https://github.com/ukplab)  
-sentence-transformers: Multilingual Sentence & Image Embeddings with BERT  
-[https://www.SBERT.net](https://www.SBERT.net)  
-[https://github.com/ukplab/sentence-transformers](https://github.com/ukplab/sentence-transformers)  
-50 stars per week over 176 weeks  
-8,954 stars, 1,784 forks, 117 watches  
-[nlp](categories/nlp.md) category, created 2019-07-24, last commit 2022-11-28, main language Python  
+### [minGPT](https://github.com/karpathy/mingpt) by [karpathy](https://github.com/karpathy)  
+minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training  
+[https://github.com/karpathy/mingpt](https://github.com/karpathy/mingpt)  
+100 stars per week over 132 weeks  
+13,298 stars, 1,514 forks, 229 watches  
+[nlp](categories/nlp.md) category, created 2020-08-17, last commit 2023-01-08, main language Python  
 
 
-### [jinja](https://github.com/pallets/jinja) by [pallets](https://github.com/pallets)  
-jinja: A very fast and expressive template engine.  
-[https://jinja.palletsprojects.com](https://jinja.palletsprojects.com)  
-[https://github.com/pallets/jinja](https://github.com/pallets/jinja)  
-14 stars per week over 633 weeks  
-8,921 stars, 1,525 forks, 254 watches  
-[util](categories/util.md) category, created 2010-10-17, last commit 2022-11-01, main language Python  
-<sub><sup>jinja, jinja2, pallets, python, template-engine, templates</sup></sub>
+### [isort](https://github.com/pycqa/isort) by [pycqa](https://github.com/pycqa)  
+isort: A Python utility / library to sort imports.  
+[https://pycqa.github.io/isort/](https://pycqa.github.io/isort/)  
+[https://github.com/pycqa/isort](https://github.com/pycqa/isort)  
+11 stars per week over 495 weeks  
+5,647 stars, 519 forks, 46 watches  
+[util](categories/util.md) category, created 2013-09-02, last commit 2023-03-02, main language Python  
+<sub><sup>auto-formatter, cleaner, cli, formatter, hacktoberfest, isort, linter, python, python-utility, python3, sorting-imports</sup></sub>
 
 
-### [prettymaps](https://github.com/marceloprates/prettymaps) by [marceloprates](https://github.com/marceloprates)  
-prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.  
-[https://github.com/marceloprates/prettymaps](https://github.com/marceloprates/prettymaps)  
-97 stars per week over 91 weeks  
-8,917 stars, 430 forks, 78 watches  
-[viz](categories/viz.md) category, created 2021-03-05, last commit 2022-11-16, main language Jupyter Notebook  
-<sub><sup>cartography, generative-art, jupyter-notebook, maps, matplotlib, openstreetmap, python</sup></sub>
+### [Kats](https://github.com/facebookresearch/kats) by [facebookresearch](https://github.com/facebookresearch)  
+Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.   
+[https://github.com/facebookresearch/kats](https://github.com/facebookresearch/kats)  
+40 stars per week over 105 weeks  
+4,241 stars, 452 forks, 73 watches  
+[time-series](categories/time-series.md) category, created 2021-02-25, last commit 2023-03-02, main language Python  
 
 
-### [pyright](https://github.com/microsoft/pyright) by [microsoft](https://github.com/microsoft)  
-pyright: Static type checker for Python  
-[https://github.com/microsoft/pyright](https://github.com/microsoft/pyright)  
-45 stars per week over 195 weeks  
-8,852 stars, 612 forks, 77 watches  
-[typing](categories/typing.md) category, created 2019-03-12, last commit 2022-12-07, main language Python  
+### [Tkinter-Designer](https://github.com/parthjadhav/tkinter-designer) by [parthjadhav](https://github.com/parthjadhav)  
+Tkinter-Designer: An easy and fast way to create a Python GUI 🐍  
+[https://github.com/parthjadhav/tkinter-designer](https://github.com/parthjadhav/tkinter-designer)  
+57 stars per week over 93 weeks  
+5,406 stars, 517 forks, 57 watches  
+[util](categories/util.md) category, created 2021-05-18, last commit 2023-02-26, main language Python  
+<sub><sup>automatic, collaborate, drag-and-drop, easy, easy-to-use, fast, figma, gui, gui-application, hacktoberfest, learn, python, python-script, python3, tkinter, tkinter-designer, tkinter-graphic-interface, tkinter-gui, tkinter-python, tkinter-widgets</sup></sub>
 
 
-### [serverless-application-model](https://github.com/aws/serverless-application-model) by [aws](https://github.com/aws)  
-serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.  
-[https://aws.amazon.com/serverless/sam](https://aws.amazon.com/serverless/sam)  
-[https://github.com/aws/serverless-application-model](https://github.com/aws/serverless-application-model)  
-27 stars per week over 321 weeks  
-8,842 stars, 2,270 forks, 310 watches  
-[util](categories/util.md) category, created 2016-10-10, last commit 2022-12-06, main language Python  
-<sub><sup>aws, aws-sam, lambda, sam, sam-specification, serverless, serverless-application-model, serverless-applications</sup></sub>
+### [Detectron](https://github.com/facebookresearch/detectron) by [facebookresearch](https://github.com/facebookresearch)  
+Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.  
+[https://github.com/facebookresearch/detectron](https://github.com/facebookresearch/detectron)  
+90 stars per week over 282 weeks  
+25,558 stars, 5,492 forks, 960 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-10-05, last commit 2023-02-21, main language Python  
 
 
-### [tpot](https://github.com/epistasislab/tpot) by [epistasislab](https://github.com/epistasislab)  
-tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.  
-[http://epistasislab.github.io/tpot/](http://epistasislab.github.io/tpot/)  
-[https://github.com/epistasislab/tpot](https://github.com/epistasislab/tpot)  
-23 stars per week over 370 weeks  
-8,829 stars, 1,503 forks, 292 watches  
-[ml](categories/ml.md) category, created 2015-11-03, last commit 2022-07-29, main language Python  
-<sub><sup>adsp, ag066833, aiml, alzheimer, alzheimers, automated-machine-learning, automation, automl, data-science, feature-engineering, gradient-boosting, hyperparameter-optimization, machine-learning, model-selection, nia, parameter-tuning, python, random-forest, scikit-learn, u01ag066833</sup></sub>
+### [coveragepy](https://github.com/nedbat/coveragepy) by [nedbat](https://github.com/nedbat)  
+coveragepy: The code coverage tool for Python  
+[https://coverage.readthedocs.io](https://coverage.readthedocs.io)  
+[https://github.com/nedbat/coveragepy](https://github.com/nedbat/coveragepy)  
+9.8 stars per week over 245 weeks  
+2,402 stars, 346 forks, 27 watches  
+[testing](categories/testing.md) category, created 2018-06-23, last commit 2023-02-26, main language Python  
 
 
-### [autokeras](https://github.com/keras-team/autokeras) by [keras-team](https://github.com/keras-team)  
-autokeras: AutoML library for deep learning  
-[http://autokeras.com/](http://autokeras.com/)  
-[https://github.com/keras-team/autokeras](https://github.com/keras-team/autokeras)  
-32 stars per week over 263 weeks  
-8,668 stars, 1,385 forks, 305 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-11-19, last commit 2022-12-04, main language Python  
-<sub><sup>autodl, automated-machine-learning, automl, deep-learning, keras, machine-learning, neural-architecture-search, python, tensorflow</sup></sub>
+### [featuretools](https://github.com/featurelabs/featuretools) by [featurelabs](https://github.com/featurelabs)  
+featuretools: An open source python library for automated feature engineering  
+[https://www.featuretools.com](https://www.featuretools.com)  
+[https://github.com/featurelabs/featuretools](https://github.com/featurelabs/featuretools)  
+22 stars per week over 286 weeks  
+6,531 stars, 840 forks, 158 watches  
+[ml](categories/ml.md) category, created 2017-09-08, last commit 2023-03-03, main language Python  
+<sub><sup>automated-feature-engineering, automated-machine-learning, automl, data-science, feature-engineering, machine-learning, python, scikit-learn</sup></sub>
 
 
-### [gunicorn](https://github.com/benoitc/gunicorn) by [benoitc](https://github.com/benoitc)  
-gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.  
-[http://www.gunicorn.org](http://www.gunicorn.org)  
-[https://github.com/benoitc/gunicorn](https://github.com/benoitc/gunicorn)  
-12 stars per week over 679 weeks  
-8,665 stars, 1,616 forks, 235 watches  
-[web](categories/web.md) category, created 2009-11-30, last commit 2022-12-03, main language Python  
-<sub><sup>http, http-server, python, wsgi, wsgi-server</sup></sub>
+### [hatch](https://github.com/pypa/hatch) by [pypa](https://github.com/pypa)  
+hatch: Modern, extensible Python project management  
+[https://hatch.pypa.io/latest/](https://hatch.pypa.io/latest/)  
+[https://github.com/pypa/hatch](https://github.com/pypa/hatch)  
+12 stars per week over 300 weeks  
+3,689 stars, 182 forks, 47 watches  
+[util](categories/util.md) category, created 2017-05-31, last commit 2023-02-09, main language Python  
+<sub><sup>build, cli, packaging, plugin, python, versioning, virtualenv</sup></sub>
 
 
-### [ludwig](https://github.com/uber/ludwig) by [uber](https://github.com/uber)  
-ludwig: Data-centric declarative deep learning framework  
-[http://ludwig.ai](http://ludwig.ai)  
-[https://github.com/uber/ludwig](https://github.com/uber/ludwig)  
-41 stars per week over 205 weeks  
-8,645 stars, 1,020 forks, 181 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-12-27, last commit 2022-12-06, main language Python  
-<sub><sup>computer-vision, data-centric, data-science, datascience, deep, deep-learning, deeplearning, learning, machine, machine-learning, machinelearning, ml, natural-language, natural-language-processing, neural-network, python, pytorch</sup></sub>
+### [tianshou](https://github.com/thu-ml/tianshou) by [thu-ml](https://github.com/thu-ml)  
+tianshou: An elegant PyTorch deep reinforcement learning library.  
+[https://tianshou.readthedocs.io](https://tianshou.readthedocs.io)  
+[https://github.com/thu-ml/tianshou](https://github.com/thu-ml/tianshou)  
+22 stars per week over 254 weeks  
+5,847 stars, 917 forks, 82 watches  
+[ml](categories/ml.md) category, created 2018-04-16, last commit 2023-03-04, main language Python  
+<sub><sup>a2c, atari, bcq, benchmark, cql, ddpg, double-dqn, dqn, drl, imitation-learning, library, mujoco, npg, policy-gradient, ppo, pytorch, rl, sac, td3, trpo</sup></sub>
 
 
-### [DALLE2-pytorch](https://github.com/lucidrains/dalle2-pytorch) by [lucidrains](https://github.com/lucidrains)  
-DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch  
-[https://github.com/lucidrains/dalle2-pytorch](https://github.com/lucidrains/dalle2-pytorch)  
-241 stars per week over 34 weeks  
-8,421 stars, 685 forks, 112 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-04-07, last commit 2022-11-23, main language Python  
-<sub><sup>artificial-intelligence, deep-learning, text-to-image</sup></sub>
+### [consensus-specs](https://github.com/ethereum/consensus-specs) by [ethereum](https://github.com/ethereum)  
+consensus-specs: Ethereum Proof-of-Stake Consensus Specifications  
+[https://github.com/ethereum/consensus-specs](https://github.com/ethereum/consensus-specs)  
+13 stars per week over 232 weeks  
+3,073 stars, 787 forks, 246 watches  
+[crypto](categories/crypto.md) category, created 2018-09-20, last commit 2023-03-02, main language Python  
 
 
-### [TextBlob](https://github.com/sloria/textblob) by [sloria](https://github.com/sloria)  
-TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.  
-[https://textblob.readthedocs.io/](https://textblob.readthedocs.io/)  
-[https://github.com/sloria/textblob](https://github.com/sloria/textblob)  
-17 stars per week over 492 weeks  
-8,377 stars, 1,097 forks, 270 watches  
-[nlp](categories/nlp.md) category, created 2013-06-30, last commit 2021-10-22, main language Python  
-<sub><sup>natural-language-processing, nlp, nltk, pattern, python, python-2, python-3</sup></sub>
+### [panel](https://github.com/holoviz/panel) by [holoviz](https://github.com/holoviz)  
+panel: A high-level app and dashboarding solution for Python  
+[https://panel.holoviz.org](https://panel.holoviz.org)  
+[https://github.com/holoviz/panel](https://github.com/holoviz/panel)  
+11 stars per week over 236 weeks  
+2,613 stars, 322 forks, 48 watches  
+[viz](categories/viz.md) category, created 2018-08-23, last commit 2023-03-04, main language Python  
+<sub><sup>bokeh, control-panels, dashboards, dataapp, datascience, dataviz, gui, holoviews, holoviz, hvplot, jupyter, matplotlib, panel, plotly</sup></sub>
 
 
-### [diffusers](https://github.com/huggingface/diffusers) by [huggingface](https://github.com/huggingface)  
-🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch  
-[https://huggingface.co/docs/diffusers](https://huggingface.co/docs/diffusers)  
-[https://github.com/huggingface/diffusers](https://github.com/huggingface/diffusers)  
-306 stars per week over 27 weeks  
-8,376 stars, 1,378 forks, 92 watches  
-[diffusion](categories/diffusion.md) category, created 2022-05-30, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, diffusion, hacktoberfest, image-generation, image2image, pytorch, score-based-generative-modeling, stable-diffusion, text2image</sup></sub>
+### [FLAML](https://github.com/microsoft/flaml) by [microsoft](https://github.com/microsoft)  
+FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.  
+[https://microsoft.github.io/FLAML/](https://microsoft.github.io/FLAML/)  
+[https://github.com/microsoft/flaml](https://github.com/microsoft/flaml)  
+17 stars per week over 132 weeks  
+2,291 stars, 349 forks, 41 watches  
+[ml](categories/ml.md) category, created 2020-08-20, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>automated-machine-learning, automl, classification, data-science, deep-learning, finetuning, hyperparam, hyperparameter-optimization, jupyter-notebook, machine-learning, natural-language-generation, natural-language-processing, python, random-forest, regression, scikit-learn, tabular-data, timeseries-forecasting, tuning</sup></sub>
 
 
-### [pattern](https://github.com/clips/pattern) by [clips](https://github.com/clips)  
-pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.  
-[https://github.com/clips/pattern/wiki](https://github.com/clips/pattern/wiki)  
-[https://github.com/clips/pattern](https://github.com/clips/pattern)  
-13 stars per week over 605 weeks  
-8,358 stars, 1,593 forks, 548 watches  
-[nlp](categories/nlp.md) category, created 2011-05-03, last commit 2020-04-25, main language Python  
-<sub><sup>machine-learning, natural-language-processing, network-analysis, python, sentiment-analysis, web-mining, wordnet</sup></sub>
+### [botorch](https://github.com/pytorch/botorch) by [pytorch](https://github.com/pytorch)  
+botorch: Bayesian optimization in PyTorch  
+[https://botorch.org/](https://botorch.org/)  
+[https://github.com/pytorch/botorch](https://github.com/pytorch/botorch)  
+10 stars per week over 239 weeks  
+2,544 stars, 306 forks, 50 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-07-30, last commit 2023-03-02, main language Jupyter Notebook  
 
 
-### [DeepSpeed](https://github.com/microsoft/deepspeed) by [microsoft](https://github.com/microsoft)  
-DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.  
-[https://www.deepspeed.ai/](https://www.deepspeed.ai/)  
-[https://github.com/microsoft/deepspeed](https://github.com/microsoft/deepspeed)  
-55 stars per week over 149 weeks  
-8,276 stars, 968 forks, 142 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-01-23, last commit 2022-12-06, main language Python  
-<sub><sup>billion-parameters, compression, data-parallelism, deep-learning, gpu, inference, machine-learning, mixture-of-experts, model-parallelism, pipeline-parallelism, pytorch, trillion-parameters, zero</sup></sub>
+### [pypdf](https://github.com/py-pdf/pypdf2) by [py-pdf](https://github.com/py-pdf)  
+pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files  
+[https://pypdf.readthedocs.io/en/latest/](https://pypdf.readthedocs.io/en/latest/)  
+[https://github.com/py-pdf/pypdf2](https://github.com/py-pdf/pypdf2)  
+9.05 stars per week over 582 weeks  
+5,269 stars, 1,171 forks, 143 watches  
+[util](categories/util.md) category, created 2012-01-06, last commit 2023-03-04, main language Python  
+<sub><sup>help-wanted, pdf, pdf-documents, pdf-manipulation, pdf-parser, pdf-parsing, pypdf2, python</sup></sub>
 
 
-### [arrow](https://github.com/arrow-py/arrow) by [arrow-py](https://github.com/arrow-py)  
-arrow: 🏹 Better dates & times for Python  
-[https://arrow.readthedocs.io](https://arrow.readthedocs.io)  
-[https://github.com/arrow-py/arrow](https://github.com/arrow-py/arrow)  
-15 stars per week over 524 weeks  
-8,149 stars, 634 forks, 134 watches  
-[util](categories/util.md) category, created 2012-11-18, last commit 2022-11-15, main language Python  
-<sub><sup>arrow, date, datetime, hacktoberfest, python, time, timestamp, timezones</sup></sub>
+### [click](https://github.com/pallets/click) by [pallets](https://github.com/pallets)  
+click: Python composable command line interface toolkit  
+[https://click.palletsprojects.com](https://click.palletsprojects.com)  
+[https://github.com/pallets/click](https://github.com/pallets/click)  
+29 stars per week over 462 weeks  
+13,554 stars, 1,315 forks, 180 watches  
+[term](categories/term.md) category, created 2014-04-24, last commit 2023-03-01, main language Python  
+<sub><sup>cli, click, pallets, python</sup></sub>
 
 
-### [modin](https://github.com/modin-project/modin) by [modin-project](https://github.com/modin-project)  
-Modin: Scale your Pandas workflows by changing a single line of code  
-[http://modin.readthedocs.io](http://modin.readthedocs.io)  
-[https://github.com/modin-project/modin](https://github.com/modin-project/modin)  
-34 stars per week over 232 weeks  
-8,115 stars, 582 forks, 109 watches  
-[perf](categories/perf.md) category, created 2018-06-21, last commit 2022-12-06, main language Python  
-<sub><sup>analytics, data-science, dataframe, datascience, distributed, hacktoberfest, modin, pandas, python, sql</sup></sub>
+### [tox](https://github.com/tox-dev/tox) by [tox-dev](https://github.com/tox-dev)  
+tox: Command line driven CI frontend and development task automation tool.  
+[https://tox.wiki](https://tox.wiki)  
+[https://github.com/tox-dev/tox](https://github.com/tox-dev/tox)  
+9.48 stars per week over 337 weeks  
+3,197 stars, 461 forks, 41 watches  
+[testing](categories/testing.md) category, created 2016-09-17, last commit 2023-03-02, main language Python  
+<sub><sup>actions, appveyor, automation, azure-pipelines, circleci, cli, continuous-integration, gitlab, hacktoberfest, pep-621, python, testing, travis, venv, virtualenv</sup></sub>
 
 
-### [numba](https://github.com/numba/numba)  
-numba: NumPy aware dynamic Python compiler using LLVM  
-[http://numba.pydata.org/](http://numba.pydata.org/)  
-[https://github.com/numba/numba](https://github.com/numba/numba)  
-14 stars per week over 560 weeks  
-8,047 stars, 982 forks, 207 watches  
-[perf](categories/perf.md) category, created 2012-03-08, last commit 2022-12-06, main language Python  
-<sub><sup>compiler, cuda, llvm, numpy, parallel, python</sup></sub>
+### [einops](https://github.com/arogozhnikov/einops) by [arogozhnikov](https://github.com/arogozhnikov)  
+einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)  
+[https://einops.rocks](https://einops.rocks)  
+[https://github.com/arogozhnikov/einops](https://github.com/arogozhnikov/einops)  
+27 stars per week over 232 weeks  
+6,449 stars, 290 forks, 63 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-09-22, last commit 2023-01-18, main language Python  
+<sub><sup>chainer, cupy, deep-learning, gluon, jax, keras, numpy, pytorch, tensor, tensorflow</sup></sub>
 
 
-### [paramiko](https://github.com/paramiko/paramiko)  
-paramiko: The leading native Python SSHv2 protocol library.  
-[http://paramiko.org](http://paramiko.org)  
-[https://github.com/paramiko/paramiko](https://github.com/paramiko/paramiko)  
-11 stars per week over 722 weeks  
-8,018 stars, 1,885 forks, 320 watches  
-[util](categories/util.md) category, created 2009-02-02, last commit 2022-11-04, main language Python  
+### [discoart](https://github.com/jina-ai/discoart) by [jina-ai](https://github.com/jina-ai)  
+discoart: 🪩 Create Disco Diffusion artworks in one line  
+[https://github.com/jina-ai/discoart](https://github.com/jina-ai/discoart)  
+102 stars per week over 35 weeks  
+3,648 stars, 221 forks, 33 watches  
+[diffusion](categories/diffusion.md) category, created 2022-06-30, last commit 2022-08-17, main language Python  
+<sub><sup>clip-guided-diffusion, creative-ai, creative-art, cross-modal, dalle, diffusion, disco-diffusion, discodiffusion, generative-art, imgen, latent-diffusion, midjourney, multimodal, prompts, stable-diffusion</sup></sub>
 
 
 ### [statsmodels](https://github.com/statsmodels/statsmodels)  
 Statsmodels: statistical modeling and econometrics in Python  
 [http://www.statsmodels.org/devel/](http://www.statsmodels.org/devel/)  
 [https://github.com/statsmodels/statsmodels](https://github.com/statsmodels/statsmodels)  
-13 stars per week over 599 weeks  
-7,967 stars, 2,619 forks, 271 watches  
-[ml](categories/ml.md) category, created 2011-06-12, last commit 2022-12-06, main language Python  
+13 stars per week over 612 weeks  
+8,235 stars, 2,670 forks, 275 watches  
+[ml](categories/ml.md) category, created 2011-06-12, last commit 2023-02-26, main language Python  
 <sub><sup>count-model, data-analysis, data-science, econometrics, forecasting, generalized-linear-models, hypothesis-testing, prediction, python, regression-models, robust-estimation, statistics, timeseries-analysis</sup></sub>
 
 
-### [altair](https://github.com/altair-viz/altair) by [altair-viz](https://github.com/altair-viz)  
-altair: Declarative statistical visualization library for Python  
-[https://altair-viz.github.io/](https://altair-viz.github.io/)  
-[https://github.com/altair-viz/altair](https://github.com/altair-viz/altair)  
-21 stars per week over 376 weeks  
-7,913 stars, 708 forks, 150 watches  
-[viz](categories/viz.md) category, created 2015-09-19, last commit 2022-12-01, main language Python  
-
-
-### [kedro](https://github.com/kedro-org/kedro) by [kedro-org](https://github.com/kedro-org)  
-kedro: A Python framework for creating reproducible, maintainable and modular data science code.  
-[https://kedro.org](https://kedro.org)  
-[https://github.com/kedro-org/kedro](https://github.com/kedro-org/kedro)  
-41 stars per week over 189 weeks  
-7,871 stars, 739 forks, 103 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-04-18, last commit 2022-12-06, main language Python  
-<sub><sup>experiment-tracking, hacktoberfest, kedro, machine-learning, mlops, pipeline, python</sup></sub>
+### [xarray](https://github.com/pydata/xarray) by [pydata](https://github.com/pydata)  
+xarray: N-D labeled arrays and datasets in Python  
+[https://xarray.dev](https://xarray.dev)  
+[https://github.com/pydata/xarray](https://github.com/pydata/xarray)  
+5.87 stars per week over 491 weeks  
+2,886 stars, 883 forks, 106 watches  
+[util](categories/util.md) category, created 2013-09-30, last commit 2023-03-03, main language Python  
+<sub><sup>dask, netcdf, numpy, pandas, python, xarray</sup></sub>
 
 
-### [Open3D](https://github.com/isl-org/open3d) by [isl-org](https://github.com/isl-org)  
-Open3D: A Modern Library for 3D Data Processing  
-[http://www.open3d.org](http://www.open3d.org)  
-[https://github.com/isl-org/open3d](https://github.com/isl-org/open3d)  
-24 stars per week over 313 weeks  
-7,773 stars, 1,830 forks, 171 watches  
-[sim](categories/sim.md) category, created 2016-12-02, last commit 2022-12-02, main language C++  
-<sub><sup>3d, 3d-perception, arm, computer-graphics, cpp, cuda, gpu, gui, machine-learning, mesh-processing, odometry, opengl, pointcloud, python, pytorch, reconstruction, registration, rendering, tensorflow, visualization</sup></sub>
+### [trax](https://github.com/google/trax) by [google](https://github.com/google)  
+Trax — Deep Learning with Clear Code and Speed  
+[https://github.com/google/trax](https://github.com/google/trax)  
+41 stars per week over 178 weeks  
+7,382 stars, 765 forks, 145 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-10-05, last commit 2023-02-15, main language Python  
+<sub><sup>deep-learning, deep-reinforcement-learning, jax, machine-learning, numpy, reinforcement-learning, transformer</sup></sub>
 
 
-### [boto3](https://github.com/boto/boto3) by [boto](https://github.com/boto)  
-boto3: AWS SDK for Python  
-[https://aws.amazon.com/sdk-for-python/](https://aws.amazon.com/sdk-for-python/)  
-[https://github.com/boto/boto3](https://github.com/boto/boto3)  
-18 stars per week over 426 weeks  
-7,751 stars, 1,685 forks, 238 watches  
-[util](categories/util.md) category, created 2014-10-03, last commit 2022-12-06, main language Python  
-<sub><sup>aws, aws-sdk, cloud, cloud-management, python</sup></sub>
+### [pyod](https://github.com/yzhao062/pyod) by [yzhao062](https://github.com/yzhao062)  
+pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)  
+[http://pyod.readthedocs.io](http://pyod.readthedocs.io)  
+[https://github.com/yzhao062/pyod](https://github.com/yzhao062/pyod)  
+24 stars per week over 282 weeks  
+6,790 stars, 1,240 forks, 152 watches  
+[data](categories/data.md) category, created 2017-10-03, last commit 2022-12-16, main language Python  
+<sub><sup>anomaly, anomaly-detection, autoencoder, data-analysis, data-mining, data-science, deep-learning, fraud-detection, machine-learning, neural-networks, novelty-detection, out-of-distribution-detection, outlier-detection, outlier-ensembles, outliers, python, python2, python3, unsupervised-learning</sup></sub>
 
 
-### [great_expectations](https://github.com/great-expectations/great_expectations) by [great-expectations](https://github.com/great-expectations)  
-great_expectations: Always know what to expect from your data.  
-[https://docs.greatexpectations.io/](https://docs.greatexpectations.io/)  
-[https://github.com/great-expectations/great_expectations](https://github.com/great-expectations/great_expectations)  
-28 stars per week over 273 weeks  
-7,712 stars, 1,144 forks, 70 watches  
-[ml-ops](categories/ml-ops.md) category, created 2017-09-11, last commit 2022-12-06, main language Python  
-<sub><sup>cleandata, data-engineering, data-profilers, data-profiling, data-quality, data-science, data-unit-tests, datacleaner, datacleaning, dataquality, dataunittest, eda, exploratory-analysis, exploratory-data-analysis, exploratorydataanalysis, mlops, pipeline, pipeline-debt, pipeline-testing, pipeline-tests</sup></sub>
+### [vaex](https://github.com/vaexio/vaex) by [vaexio](https://github.com/vaexio)  
+vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀  
+[https://vaex.io](https://vaex.io)  
+[https://github.com/vaexio/vaex](https://github.com/vaexio/vaex)  
+17 stars per week over 440 weeks  
+7,812 stars, 586 forks, 141 watches  
+[perf](categories/perf.md) category, created 2014-09-27, last commit 2022-12-08, main language Python  
+<sub><sup>bigdata, data-science, dataframe, hdf5, machine-learning, machinelearning, memory-mapped-file, pyarrow, python, tabular-data, visualization</sup></sub>
 
 
-### [pyro](https://github.com/pyro-ppl/pyro) by [pyro-ppl](https://github.com/pyro-ppl)  
-pyro: Deep universal probabilistic programming with Python and PyTorch  
-[http://pyro.ai](http://pyro.ai)  
-[https://github.com/pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)  
-26 stars per week over 285 weeks  
-7,698 stars, 939 forks, 203 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-06-16, last commit 2022-12-02, main language Python  
-<sub><sup>bayesian, bayesian-inference, deep-learning, machine-learning, probabilistic-modeling, probabilistic-programming, python, pytorch, variational-inference</sup></sub>
+### [web3.py](https://github.com/ethereum/web3.py) by [ethereum](https://github.com/ethereum)  
+web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.  
+[http://web3py.readthedocs.io](http://web3py.readthedocs.io)  
+[https://github.com/ethereum/web3.py](https://github.com/ethereum/web3.py)  
+11 stars per week over 359 weeks  
+4,065 stars, 1,357 forks, 117 watches  
+[crypto](categories/crypto.md) category, created 2016-04-14, last commit 2023-02-24, main language Python  
 
 
-### [starlette](https://github.com/encode/starlette) by [encode](https://github.com/encode)  
-starlette: The little ASGI framework that shines. 🌟  
-[https://www.starlette.io/](https://www.starlette.io/)  
-[https://github.com/encode/starlette](https://github.com/encode/starlette)  
-32 stars per week over 232 weeks  
-7,651 stars, 689 forks, 110 watches  
-[web](categories/web.md) category, created 2018-06-25, last commit 2022-12-05, main language Python  
-<sub><sup>async, graphql, http, python, websockets</sup></sub>
+### [torchgeo](https://github.com/microsoft/torchgeo) by [microsoft](https://github.com/microsoft)  
+TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data  
+[https://torchgeo.rtfd.io](https://torchgeo.rtfd.io)  
+[https://github.com/microsoft/torchgeo](https://github.com/microsoft/torchgeo)  
+15 stars per week over 93 weeks  
+1,487 stars, 174 forks, 37 watches  
+[gis](categories/gis.md) category, created 2021-05-21, last commit 2023-03-03, main language Python  
+<sub><sup>datasets, deep-learning, earth-observation, models, pytorch, remote-sensing, torchvision, transforms</sup></sub>
 
 
-### [YOLOX](https://github.com/megvii-basedetection/yolox) by [megvii-basedetection](https://github.com/megvii-basedetection)  
-YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/  
-[https://github.com/megvii-basedetection/yolox](https://github.com/megvii-basedetection/yolox)  
-105 stars per week over 72 weeks  
-7,636 stars, 1,828 forks, 72 watches  
-[ml](categories/ml.md) category, created 2021-07-17, last commit 2022-11-30, main language Python  
-<sub><sup>deep-learning, megengine, ncnn, object-detection, onnx, openvino, pytorch, tensorrt, yolo, yolov3, yolox</sup></sub>
+### [PythonDataScienceHandbook](https://github.com/jakevdp/pythondatasciencehandbook) by [jakevdp](https://github.com/jakevdp)  
+PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks  
+[http://jakevdp.github.io/PythonDataScienceHandbook](http://jakevdp.github.io/PythonDataScienceHandbook)  
+[https://github.com/jakevdp/pythondatasciencehandbook](https://github.com/jakevdp/pythondatasciencehandbook)  
+109 stars per week over 342 weeks  
+37,652 stars, 16,606 forks, 1,775 watches  
+[study](categories/study.md) category, created 2016-08-10, last commit 2018-11-30, main language Jupyter Notebook  
+<sub><sup>jupyter-notebook, matplotlib, numpy, pandas, python, scikit-learn</sup></sub>
 
 
-### [robotframework](https://github.com/robotframework/robotframework)  
-robotframework: Generic automation framework for acceptance testing and RPA  
-[http://robotframework.org](http://robotframework.org)  
-[https://github.com/robotframework/robotframework](https://github.com/robotframework/robotframework)  
-17 stars per week over 440 weeks  
-7,608 stars, 2,047 forks, 483 watches  
-[testing](categories/testing.md) category, created 2014-06-27, last commit 2022-11-20, main language Python  
-<sub><sup>attd, automation, bdd, python, robotframework, rpa, testautomation, testing</sup></sub>
+### [geemap](https://github.com/giswqs/geemap) by [giswqs](https://github.com/giswqs)  
+geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.  
+[https://geemap.org](https://geemap.org)  
+[https://github.com/giswqs/geemap](https://github.com/giswqs/geemap)  
+16 stars per week over 156 weeks  
+2,570 stars, 929 forks, 101 watches  
+[gis](categories/gis.md) category, created 2020-03-08, last commit 2023-02-28, main language Python  
+<sub><sup>colab, data-science, dataviz, earth-engine, earthengine, folium, geospatial, gis, google-earth-engine, image-processing, ipyleaflet, ipywidgets, jupyter, jupyter-notebook, landsat, mapping, python, remote-sensing, streamlit, streamlit-webapp</sup></sub>
 
 
-### [rembg](https://github.com/danielgatis/rembg) by [danielgatis](https://github.com/danielgatis)  
-Rembg is a tool to remove images background.  
-[https://github.com/danielgatis/rembg](https://github.com/danielgatis/rembg)  
-62 stars per week over 121 weeks  
-7,549 stars, 955 forks, 99 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-08-10, last commit 2022-11-28, main language Python  
-<sub><sup>background-removal, image-processing, python</sup></sub>
+### [amundsen](https://github.com/amundsen-io/amundsen) by [amundsen-io](https://github.com/amundsen-io)  
+Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.  
+[https://www.amundsen.io/amundsen/](https://www.amundsen.io/amundsen/)  
+[https://github.com/amundsen-io/amundsen](https://github.com/amundsen-io/amundsen)  
+19 stars per week over 198 weeks  
+3,796 stars, 906 forks, 246 watches  
+[data](categories/data.md) category, created 2019-05-14, last commit 2023-02-28, main language Python  
+<sub><sup>amundsen, data-catalog, data-discovery, linuxfoundation, metadata</sup></sub>
 
 
-### [duckdb](https://github.com/duckdb/duckdb)  
-DuckDB is an in-process SQL OLAP Database Management System  
-[http://www.duckdb.org](http://www.duckdb.org)  
-[https://github.com/duckdb/duckdb](https://github.com/duckdb/duckdb)  
-32 stars per week over 232 weeks  
-7,538 stars, 716 forks, 114 watches  
-[data](categories/data.md) category, created 2018-06-26, last commit 2022-12-07, main language C++  
-<sub><sup>analytics, database, embedded-database, olap, sql</sup></sub>
+### [cramming](https://github.com/jonasgeiping/cramming) by [jonasgeiping](https://github.com/jonasgeiping)  
+Cramming the training of a (BERT-type) language model into limited compute.  
+[https://github.com/jonasgeiping/cramming](https://github.com/jonasgeiping/cramming)  
+101 stars per week over 9 weeks  
+953 stars, 61 forks, 20 watches  
+[nlp](categories/nlp.md) category, created 2022-12-29, last commit 2023-02-19, main language Python  
+<sub><sup>english-language, language-model, machine-learning</sup></sub>
 
 
-### [cython](https://github.com/cython/cython)  
-cython: The most widely used Python to C compiler  
-[https://cython.org](https://cython.org)  
-[https://github.com/cython/cython](https://github.com/cython/cython)  
-11 stars per week over 628 weeks  
-7,498 stars, 1,343 forks, 230 watches  
-[util](categories/util.md) category, created 2010-11-21, last commit 2022-12-07, main language Python  
-<sub><sup>big-data, c, cpp, cpython, cpython-extensions, cython, performance, python</sup></sub>
+### [jupyter-book](https://github.com/executablebooks/jupyter-book) by [executablebooks](https://github.com/executablebooks)  
+jupyter-book: Create beautiful, publication-quality books and documents from computational content.  
+[http://jupyterbook.org](http://jupyterbook.org)  
+[https://github.com/executablebooks/jupyter-book](https://github.com/executablebooks/jupyter-book)  
+13 stars per week over 246 weeks  
+3,257 stars, 614 forks, 60 watches  
+[jupyter](categories/jupyter.md) category, created 2018-06-14, last commit 2023-03-01, main language Python  
+<sub><sup>documentation-generator, jupyter, sphinx-doc</sup></sub>
 
 
-### [graphene](https://github.com/graphql-python/graphene) by [graphql-python](https://github.com/graphql-python)  
-graphene: GraphQL framework for Python  
-[http://graphene-python.org/](http://graphene-python.org/)  
-[https://github.com/graphql-python/graphene](https://github.com/graphql-python/graphene)  
-19 stars per week over 375 weeks  
-7,484 stars, 803 forks, 146 watches  
-[web](categories/web.md) category, created 2015-09-24, last commit 2022-12-01, main language Python  
-<sub><sup>framework, graphene, graphql, python, relay</sup></sub>
+### [Dreambooth-Stable-Diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion) by [xavierxiao](https://github.com/xavierxiao)  
+Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion  
+[https://github.com/xavierxiao/dreambooth-stable-diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion)  
+220 stars per week over 25 weeks  
+5,662 stars, 622 forks, 83 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2022-09-21, main language Jupyter Notebook  
+<sub><sup>pytorch, pytorch-lightning, stable-diffusion, text-to-image</sup></sub>
 
 
-### [kornia](https://github.com/kornia/kornia)  
-kornia: Open Source Differentiable Computer Vision Library  
-[https://kornia.github.io/kornia/](https://kornia.github.io/kornia/)  
-[https://github.com/kornia/kornia](https://github.com/kornia/kornia)  
-33 stars per week over 224 weeks  
-7,480 stars, 750 forks, 118 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-08-22, last commit 2022-12-07, main language Python  
-<sub><sup>artificial-intelligence, computer-vision, deep-learning, image-processing, machine-learning, neural-network, python, pytorch</sup></sub>
+### [pytudes](https://github.com/norvig/pytudes) by [norvig](https://github.com/norvig)  
+pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.  
+[https://github.com/norvig/pytudes](https://github.com/norvig/pytudes)  
+64 stars per week over 313 weeks  
+20,095 stars, 2,281 forks, 739 watches  
+[util](categories/util.md) category, created 2017-03-01, last commit 2023-02-08, main language Jupyter Notebook  
+<sub><sup>demonstrate-skills, practice, programming, python, python-3</sup></sub>
 
 
-### [InvokeAI](https://github.com/invoke-ai/invokeai) by [invoke-ai](https://github.com/invoke-ai)  
-InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, and multiple features and other enhancements. For more info, see the website link below.  
-[https://invoke-ai.github.io/InvokeAI/](https://invoke-ai.github.io/InvokeAI/)  
-[https://github.com/invoke-ai/invokeai](https://github.com/invoke-ai/invokeai)  
-465 stars per week over 16 weeks  
-7,444 stars, 843 forks, 82 watches  
-[diffusion](categories/diffusion.md) category, created 2022-08-17, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>ai-art, artificial-intelligence, generative-art, image-generation, img2img, inpainting, latent-diffusion, linux, macos, outpainting, stable-diffusion, txt2img, windows</sup></sub>
+### [umap](https://github.com/lmcinnes/umap) by [lmcinnes](https://github.com/lmcinnes)  
+umap: Uniform Manifold Approximation and Projection  
+[https://github.com/lmcinnes/umap](https://github.com/lmcinnes/umap)  
+20 stars per week over 296 weeks  
+6,081 stars, 705 forks, 126 watches  
+[ml](categories/ml.md) category, created 2017-07-02, last commit 2023-02-23, main language Python  
+<sub><sup>dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization</sup></sub>
 
 
-### [vaex](https://github.com/vaexio/vaex) by [vaexio](https://github.com/vaexio)  
-vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀  
-[https://vaex.io](https://vaex.io)  
-[https://github.com/vaexio/vaex](https://github.com/vaexio/vaex)  
-17 stars per week over 427 weeks  
-7,435 stars, 573 forks, 141 watches  
-[perf](categories/perf.md) category, created 2014-09-27, last commit 2022-12-05, main language Python  
-<sub><sup>bigdata, data-science, dataframe, hdf5, machine-learning, machinelearning, memory-mapped-file, pyarrow, python, tabular-data, visualization</sup></sub>
+### [netron](https://github.com/lutzroeder/netron) by [lutzroeder](https://github.com/lutzroeder)  
+netron: Visualizer for neural network, deep learning, and machine learning models  
+[https://netron.app](https://netron.app)  
+[https://github.com/lutzroeder/netron](https://github.com/lutzroeder/netron)  
+33 stars per week over 636 weeks  
+21,483 stars, 2,405 forks, 275 watches  
+[ml](categories/ml.md) category, created 2010-12-26, last commit 2023-03-04, main language JavaScript  
+<sub><sup>ai, caffe, caffe2, coreml, darknet, deep-learning, deeplearning, keras, machine-learning, machinelearning, ml, mxnet, neural-network, onnx, paddle, pytorch, tensorflow, tensorflow-lite, torch, visualizer</sup></sub>
 
 
-### [unilm](https://github.com/microsoft/unilm) by [microsoft](https://github.com/microsoft)  
-unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities  
-[https://aka.ms/nlpagi](https://aka.ms/nlpagi)  
-[https://github.com/microsoft/unilm](https://github.com/microsoft/unilm)  
-41 stars per week over 176 weeks  
-7,384 stars, 1,354 forks, 177 watches  
-[nlp](categories/nlp.md) category, created 2019-07-23, last commit 2022-11-28, main language Python  
-<sub><sup>beit, beit-3, deepnet, document-ai, document-foundation-model, foundation-models, infoxlm, language-generation, language-understanding, layoutlm, layoutxlm, minilm, multimodal-pre-trained-model, nlp, pre-trained-model, small-pre-trained-model, trocr, unilm, wavlm, xlm-e</sup></sub>
+### [balance](https://github.com/facebookresearch/balance) by [facebookresearch](https://github.com/facebookresearch)  
+balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.  
+[https://import-balance.org](https://import-balance.org)  
+[https://github.com/facebookresearch/balance](https://github.com/facebookresearch/balance)  
+37 stars per week over 15 weeks  
+590 stars, 28 forks, 5 watches  
+[ml](categories/ml.md) category, created 2022-11-15, last commit 2023-02-19, main language Python  
 
 
-### [optuna](https://github.com/optuna/optuna)  
-optuna: A hyperparameter optimization framework  
-[https://optuna.org](https://optuna.org)  
-[https://github.com/optuna/optuna](https://github.com/optuna/optuna)  
-29 stars per week over 250 weeks  
-7,264 stars, 784 forks, 122 watches  
-[ml](categories/ml.md) category, created 2018-02-21, last commit 2022-12-07, main language Python  
-<sub><sup>distributed, hacktoberfest, hyperparameter-optimization, machine-learning, parallel, python</sup></sub>
+### [ibis](https://github.com/ibis-project/ibis) by [ibis-project](https://github.com/ibis-project)  
+ibis: Expressive analytics in Python at any scale.  
+[https://ibis-project.org](https://ibis-project.org)  
+[https://github.com/ibis-project/ibis](https://github.com/ibis-project/ibis)  
+6.03 stars per week over 411 weeks  
+2,478 stars, 397 forks, 75 watches  
+[data](categories/data.md) category, created 2015-04-17, last commit 2023-03-04, main language Python  
+<sub><sup>bigquery, clickhouse, dask, database, datafusion, duckdb, impala, mssql, mysql, pandas, polars, postgresql, pyarrow, pyspark, python, snowflake, sql, sqlite, trino</sup></sub>
 
 
-### [trax](https://github.com/google/trax) by [google](https://github.com/google)  
-Trax — Deep Learning with Clear Code and Speed  
-[https://github.com/google/trax](https://github.com/google/trax)  
-43 stars per week over 165 weeks  
-7,203 stars, 751 forks, 145 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-10-05, last commit 2022-11-09, main language Python  
-<sub><sup>deep-learning, deep-reinforcement-learning, jax, machine-learning, numpy, reinforcement-learning, transformer</sup></sub>
+### [attrs](https://github.com/python-attrs/attrs) by [python-attrs](https://github.com/python-attrs)  
+attrs: Python Classes Without Boilerplate  
+[https://www.attrs.org/](https://www.attrs.org/)  
+[https://github.com/python-attrs/attrs](https://github.com/python-attrs/attrs)  
+11 stars per week over 422 weeks  
+4,659 stars, 337 forks, 59 watches  
+[typing](categories/typing.md) category, created 2015-01-27, last commit 2023-02-27, main language Python  
+<sub><sup>attributes, boilerplate, classes, oop, python</sup></sub>
 
 
-### [pymc](https://github.com/pymc-devs/pymc3) by [pymc-devs](https://github.com/pymc-devs)  
-pymc: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor  
-[https://docs.pymc.io/](https://docs.pymc.io/)  
-[https://github.com/pymc-devs/pymc3](https://github.com/pymc-devs/pymc3)  
-10 stars per week over 709 weeks  
-7,175 stars, 1,705 forks, 224 watches  
-[ml](categories/ml.md) category, created 2009-05-05, last commit 2022-12-06, main language Python  
-<sub><sup>aesara, bayesian-inference, hacktoberfest, mcmc, probabilistic-programming, pytensor, python, statistical-analysis, variational-inference</sup></sub>
+### [folium](https://github.com/python-visualization/folium) by [python-visualization](https://github.com/python-visualization)  
+folium: Python Data. Leaflet.js Maps.   
+[https://python-visualization.github.io/folium/](https://python-visualization.github.io/folium/)  
+[https://github.com/python-visualization/folium](https://github.com/python-visualization/folium)  
+11 stars per week over 512 weeks  
+6,115 stars, 2,173 forks, 164 watches  
+[gis](categories/gis.md) category, created 2013-05-09, last commit 2023-02-17, main language Python  
+<sub><sup>closember, data-science, data-visualization, javascript, maps, python</sup></sub>
 
 
-### [TensorLayer](https://github.com/tensorlayer/tensorlayer) by [tensorlayer](https://github.com/tensorlayer)  
-TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers   
-[http://tensorlayer.org](http://tensorlayer.org)  
-[https://github.com/tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)  
-20 stars per week over 339 weeks  
-7,119 stars, 1,609 forks, 462 watches  
-[ml-dl](categories/ml-dl.md) category, created 2016-06-07, last commit 2022-04-23, main language Python  
-<sub><sup>a3c, artificial-intelligence, chatbot, deep-learning, dqn, gan, google, imagenet, neural-network, object-detection, python, reinforcement-learning, tensorflow, tensorflow-tutorial, tensorflow-tutorials, tensorlayer</sup></sub>
+### [viztracer](https://github.com/gaogaotiantian/viztracer) by [gaogaotiantian](https://github.com/gaogaotiantian)  
+VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.  
+[https://viztracer.readthedocs.io/](https://viztracer.readthedocs.io/)  
+[https://github.com/gaogaotiantian/viztracer](https://github.com/gaogaotiantian/viztracer)  
+22 stars per week over 134 weeks  
+3,060 stars, 293 forks, 40 watches  
+[profiling](categories/profiling.md) category, created 2020-08-05, last commit 2023-02-17, main language Python  
+<sub><sup>debugging, flamegraph, logging, profiling, python, python3, tracer, visualization</sup></sub>
 
 
-### [doccano](https://github.com/doccano/doccano)  
-doccano: Open source annotation tool for machine learning practitioners.  
-[https://doccano.herokuapp.com](https://doccano.herokuapp.com)  
-[https://github.com/doccano/doccano](https://github.com/doccano/doccano)  
-29 stars per week over 239 weeks  
-7,013 stars, 1,445 forks, 121 watches  
-[nlp](categories/nlp.md) category, created 2018-05-09, last commit 2022-12-06, main language Python  
-<sub><sup>annotation-tool, data-labeling, dataset, datasets, machine-learning, natural-language-processing, nuxt, nuxtjs, python, text-annotation, vue, vuejs</sup></sub>
+### [algorithms](https://github.com/keon/algorithms) by [keon](https://github.com/keon)  
+algorithms: Minimal examples of data structures and algorithms in Python  
+[https://github.com/keon/algorithms](https://github.com/keon/algorithms)  
+67 stars per week over 328 weeks  
+22,225 stars, 4,444 forks, 641 watches  
+[util](categories/util.md) category, created 2016-11-17, last commit 2022-11-12, main language Python  
+<sub><sup>algorithm, algorithms, competitive-programming, data-structure, graph, python, search, sort, tree</sup></sub>
 
 
-### [tsfresh](https://github.com/blue-yonder/tsfresh) by [blue-yonder](https://github.com/blue-yonder)  
-tsfresh: Automatic extraction of relevant features from time series:  
-[http://tsfresh.readthedocs.io](http://tsfresh.readthedocs.io)  
-[https://github.com/blue-yonder/tsfresh](https://github.com/blue-yonder/tsfresh)  
-21 stars per week over 319 weeks  
-6,919 stars, 1,086 forks, 159 watches  
-[time-series](categories/time-series.md) category, created 2016-10-26, last commit 2022-11-18, main language Jupyter Notebook  
-<sub><sup>data-science, feature-extraction, time-series</sup></sub>
+### [werkzeug](https://github.com/pallets/werkzeug) by [pallets](https://github.com/pallets)  
+werkzeug: The comprehensive WSGI web application library.  
+[https://werkzeug.palletsprojects.com](https://werkzeug.palletsprojects.com)  
+[https://github.com/pallets/werkzeug](https://github.com/pallets/werkzeug)  
+9.75 stars per week over 645 weeks  
+6,296 stars, 1,683 forks, 227 watches  
+[web](categories/web.md) category, created 2010-10-18, last commit 2023-03-03, main language Python  
+<sub><sup>http, pallets, python, werkzeug, wsgi</sup></sub>
 
 
-### [ColossalAI](https://github.com/hpcaitech/colossalai) by [hpcaitech](https://github.com/hpcaitech)  
-ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era  
-[https://www.colossalai.org/](https://www.colossalai.org/)  
-[https://github.com/hpcaitech/colossalai](https://github.com/hpcaitech/colossalai)  
-119 stars per week over 57 weeks  
-6,901 stars, 649 forks, 88 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-10-28, last commit 2022-12-07, main language Python  
-<sub><sup>ai, big-model, data-parallelism, deep-learning, distributed-computing, heterogeneous-training, hpc, inference, large-scale, model-parallelism, pipeline-parallelism</sup></sub>
+### [EasyNLP](https://github.com/alibaba/easynlp) by [alibaba](https://github.com/alibaba)  
+EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit  
+[https://github.com/alibaba/easynlp](https://github.com/alibaba/easynlp)  
+30 stars per week over 47 weeks  
+1,460 stars, 185 forks, 31 watches  
+[nlp](categories/nlp.md) category, created 2022-04-06, last commit 2023-02-26, main language Python  
+<sub><sup>bert, deep-learning, fewshot-learning, knowledge-distillation, knowledge-pretraining, machine-learning, nlp, pretrained-models, pytorch, text-classification, text-image-retrieval, text-to-image-synthesis, transfer-learning, transformers</sup></sub>
 
 
-### [catboost](https://github.com/catboost/catboost)  
-catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.  
-[https://catboost.ai](https://catboost.ai)  
-[https://github.com/catboost/catboost](https://github.com/catboost/catboost)  
-24 stars per week over 281 weeks  
-6,830 stars, 1,067 forks, 194 watches  
-[ml](categories/ml.md) category, created 2017-07-18, last commit 2022-12-07, main language C  
-<sub><sup>big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial</sup></sub>
+### [pygame](https://github.com/pygame/pygame)  
+pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.  
+[https://www.pygame.org](https://www.pygame.org)  
+[https://github.com/pygame/pygame](https://github.com/pygame/pygame)  
+18 stars per week over 310 weeks  
+5,773 stars, 2,540 forks, 156 watches  
+[gamedev](categories/gamedev.md) category, created 2017-03-26, last commit 2023-03-04, main language C  
+<sub><sup>game-dev, game-development, gamedev, pygame, python, sdl, sdl2</sup></sub>
 
 
-### [diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui) by [divamgupta](https://github.com/divamgupta)  
-diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.  
-[https://diffusionbee.com](https://diffusionbee.com)  
-[https://github.com/divamgupta/diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui)  
-516 stars per week over 13 weeks  
-6,794 stars, 263 forks, 67 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2022-11-23, main language JavaScript  
-<sub><sup>electron-app, macos, stable-diffusion</sup></sub>
+### [neural_prophet](https://github.com/ourownstory/neural_prophet) by [ourownstory](https://github.com/ourownstory)  
+neural_prophet: NeuralProphet: A simple forecasting package  
+[https://neuralprophet.com](https://neuralprophet.com)  
+[https://github.com/ourownstory/neural_prophet](https://github.com/ourownstory/neural_prophet)  
+19 stars per week over 147 weeks  
+2,813 stars, 390 forks, 50 watches  
+[ml](categories/ml.md) category, created 2020-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>artificial-intelligence, autoregression, deep-learning, fbprophet, forecast, forecasting, forecasting-algorithm, forecasting-model, machine-learning, neural, neural-network, neuralprophet, prediction, prophet, python, pytorch, seasonality, time-series, timeseries, trend</sup></sub>
 
 
-### [pytorch3d](https://github.com/facebookresearch/pytorch3d) by [facebookresearch](https://github.com/facebookresearch)  
-PyTorch3D is FAIR's library of reusable components for deep learning with 3D data  
-[https://pytorch3d.org/](https://pytorch3d.org/)  
-[https://github.com/facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d)  
-41 stars per week over 162 weeks  
-6,781 stars, 1,026 forks, 140 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-10-25, last commit 2022-12-05, main language Python  
+### [gunicorn](https://github.com/benoitc/gunicorn) by [benoitc](https://github.com/benoitc)  
+gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.  
+[http://www.gunicorn.org](http://www.gunicorn.org)  
+[https://github.com/benoitc/gunicorn](https://github.com/benoitc/gunicorn)  
+12 stars per week over 691 weeks  
+8,801 stars, 1,631 forks, 229 watches  
+[web](categories/web.md) category, created 2009-11-30, last commit 2023-01-26, main language Python  
+<sub><sup>http, http-server, python, wsgi, wsgi-server</sup></sub>
 
 
-### [scalene](https://github.com/plasma-umass/scalene) by [plasma-umass](https://github.com/plasma-umass)  
-Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python  
-[https://github.com/plasma-umass/scalene](https://github.com/plasma-umass/scalene)  
-43 stars per week over 155 weeks  
-6,772 stars, 232 forks, 67 watches  
-[profiling](categories/profiling.md) category, created 2019-12-17, last commit 2022-12-07, main language JavaScript  
-<sub><sup>cpu, cpu-profiling, gpu, gpu-programming, memory-allocation, memory-consumption, performance-analysis, performance-cpu, profiler, profiles-memory, profiling, python, python-profilers, scalene</sup></sub>
+### [dtale](https://github.com/man-group/dtale) by [man-group](https://github.com/man-group)  
+dtale: Visualizer for pandas data structures  
+[http://alphatechadmin.pythonanywhere.com](http://alphatechadmin.pythonanywhere.com)  
+[https://github.com/man-group/dtale](https://github.com/man-group/dtale)  
+20 stars per week over 189 weeks  
+3,907 stars, 332 forks, 68 watches  
+[viz](categories/viz.md) category, created 2019-07-15, last commit 2023-03-03, main language TypeScript  
+<sub><sup>data-analysis, data-science, data-visualization, flask, ipython, jupyter-notebook, pandas, plotly-dash, python27, python3, react, react-virtualized, visualization, xarray</sup></sub>
 
 
-### [datasette](https://github.com/simonw/datasette) by [simonw](https://github.com/simonw)  
-datasette: An open source multi-tool for exploring and publishing data  
-[https://datasette.io](https://datasette.io)  
-[https://github.com/simonw/datasette](https://github.com/simonw/datasette)  
-25 stars per week over 267 weeks  
-6,729 stars, 470 forks, 99 watches  
-[data](categories/data.md) category, created 2017-10-23, last commit 2022-12-03, main language Python  
-<sub><sup>asgi, automatic-api, csv, datasets, datasette, datasette-io, docker, json, python, sql, sqlite</sup></sub>
+### [shapely](https://github.com/shapely/shapely)  
+shapely: Manipulation and analysis of geometric objects  
+[https://shapely.readthedocs.io/en/stable/](https://shapely.readthedocs.io/en/stable/)  
+[https://github.com/shapely/shapely](https://github.com/shapely/shapely)  
+5.46 stars per week over 583 weeks  
+3,185 stars, 514 forks, 86 watches  
+[gis](categories/gis.md) category, created 2011-12-31, last commit 2023-02-27, main language Python  
 
 
-### [auto-sklearn](https://github.com/automl/auto-sklearn) by [automl](https://github.com/automl)  
-auto-sklearn: Automated Machine Learning with scikit-learn  
-[https://automl.github.io/auto-sklearn](https://automl.github.io/auto-sklearn)  
-[https://github.com/automl/auto-sklearn](https://github.com/automl/auto-sklearn)  
-17 stars per week over 387 weeks  
-6,650 stars, 1,208 forks, 213 watches  
-[ml](categories/ml.md) category, created 2015-07-02, last commit 2022-12-07, main language Python  
-<sub><sup>automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, meta-learning, metalearning, scikit-learn, smac</sup></sub>
+### [Cirq](https://github.com/quantumlib/cirq) by [quantumlib](https://github.com/quantumlib)  
+Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.  
+[https://github.com/quantumlib/cirq](https://github.com/quantumlib/cirq)  
+13 stars per week over 272 weeks  
+3,673 stars, 834 forks, 177 watches  
+[sim](categories/sim.md) category, created 2017-12-14, last commit 2023-03-03, main language Python  
+<sub><sup>cirq, nisq, quantum-algorithms, quantum-circuits, quantum-computing</sup></sub>
 
 
-### [industry-machine-learning](https://github.com/firmai/industry-machine-learning) by [firmai](https://github.com/firmai)  
-industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)  
-[https://www.linkedin.com/company/firmai](https://www.linkedin.com/company/firmai)  
-[https://github.com/firmai/industry-machine-learning](https://github.com/firmai/industry-machine-learning)  
-35 stars per week over 187 weeks  
-6,646 stars, 1,120 forks, 392 watches  
-[study](categories/study.md) category, created 2019-05-03, last commit 2021-12-18, main language Jupyter Notebook  
-<sub><sup>data-science, datascience, example, firmai, jupyter-notebook, machine-learning, practical-machine-learning, python</sup></sub>
+### [falcon](https://github.com/falconry/falcon) by [falconry](https://github.com/falconry)  
+falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.  
+[https://falcon.readthedocs.io/en/stable/](https://falcon.readthedocs.io/en/stable/)  
+[https://github.com/falconry/falcon](https://github.com/falconry/falcon)  
+16 stars per week over 534 weeks  
+9,016 stars, 901 forks, 267 watches  
+[web](categories/web.md) category, created 2012-12-06, last commit 2023-01-18, main language Python  
+<sub><sup>api, api-rest, asgi, framework, http, microservices, python, rest, web, wsgi</sup></sub>
 
 
-### [pycaret](https://github.com/pycaret/pycaret)  
-pycaret: An open-source, low-code machine learning library in Python  
-[https://www.pycaret.org](https://www.pycaret.org)  
-[https://github.com/pycaret/pycaret](https://github.com/pycaret/pycaret)  
-41 stars per week over 158 weeks  
-6,625 stars, 1,514 forks, 124 watches  
-[ml](categories/ml.md) category, created 2019-11-23, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>anomaly-detection, citizen-data-scientists, classification, clustering, data-science, gpu, machine-learning, ml, nlp, pycaret, python, regression, time-series</sup></sub>
+### [osmnx](https://github.com/gboeing/osmnx) by [gboeing](https://github.com/gboeing)  
+OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.  
+[https://geoffboeing.com/publications/osmnx-complex-street-networks/](https://geoffboeing.com/publications/osmnx-complex-street-networks/)  
+[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
+11 stars per week over 345 weeks  
+4,070 stars, 746 forks, 121 watches  
+[gis](categories/gis.md) category, created 2016-07-24, last commit 2023-02-22, main language Python  
+<sub><sup>geography, geospatial, gis, mapping, networks, networkx, openstreetmap, osm, osmnx, overpass-api, python, routing, spatial, spatial-analysis, spatial-data, street-networks, transport, transportation, urban, urban-planning</sup></sub>
 
 
-### [gpt-neo](https://github.com/eleutherai/gpt-neo) by [eleutherai](https://github.com/eleutherai)  
-gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.  
-[https://www.eleuther.ai](https://www.eleuther.ai)  
-[https://github.com/eleutherai/gpt-neo](https://github.com/eleutherai/gpt-neo)  
-52 stars per week over 126 weeks  
-6,582 stars, 579 forks, 159 watches  
-[nlp](categories/nlp.md) category, created 2020-07-05, last commit 2022-02-25, main language Python  
-<sub><sup>gpt, gpt-2, gpt-3, language-model, transformers</sup></sub>
+### [latent-diffusion](https://github.com/compvis/latent-diffusion) by [compvis](https://github.com/compvis)  
+latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models  
+[https://github.com/compvis/latent-diffusion](https://github.com/compvis/latent-diffusion)  
+100 stars per week over 62 weeks  
+6,337 stars, 852 forks, 78 watches  
+[diffusion](categories/diffusion.md) category, created 2021-12-20, last commit 2022-07-26, main language Jupyter Notebook  
 
 
-### [hydra](https://github.com/facebookresearch/hydra) by [facebookresearch](https://github.com/facebookresearch)  
-Hydra is a framework for elegantly configuring complex applications  
-[https://hydra.cc](https://hydra.cc)  
-[https://github.com/facebookresearch/hydra](https://github.com/facebookresearch/hydra)  
-36 stars per week over 182 weeks  
-6,572 stars, 524 forks, 81 watches  
-[util](categories/util.md) category, created 2019-06-12, last commit 2022-12-06, main language Python  
+### [alembic](https://github.com/sqlalchemy/alembic) by [sqlalchemy](https://github.com/sqlalchemy)  
+alembic: A database migrations tool for SQLAlchemy.  
+[https://github.com/sqlalchemy/alembic](https://github.com/sqlalchemy/alembic)  
+8.01 stars per week over 222 weeks  
+1,785 stars, 180 forks, 19 watches  
+[data](categories/data.md) category, created 2018-11-27, last commit 2023-03-01, main language Python  
+<sub><sup>python, sql, sqlalchemy</sup></sub>
 
 
-### [eve](https://github.com/pyeve/eve) by [pyeve](https://github.com/pyeve)  
-eve: REST API framework designed for human beings  
-[https://python-eve.org](https://python-eve.org)  
-[https://github.com/pyeve/eve](https://github.com/pyeve/eve)  
-12 stars per week over 528 weeks  
-6,563 stars, 752 forks, 228 watches  
-[web](categories/web.md) category, created 2012-10-22, last commit 2022-11-10, main language Python  
-<sub><sup>flask, mongodb, python, rest</sup></sub>
+### [data](https://github.com/pytorch/data) by [pytorch](https://github.com/pytorch)  
+data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.  
+[https://github.com/pytorch/data](https://github.com/pytorch/data)  
+9.75 stars per week over 94 weeks  
+922 stars, 115 forks, 26 watches  
+[data](categories/data.md) category, created 2021-05-12, last commit 2023-03-03, main language Python  
+
+
+### [optimum](https://github.com/huggingface/optimum) by [huggingface](https://github.com/huggingface)  
+optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools  
+[https://huggingface.co/docs/optimum/](https://huggingface.co/docs/optimum/)  
+[https://github.com/huggingface/optimum](https://github.com/huggingface/optimum)  
+11 stars per week over 84 weeks  
+947 stars, 142 forks, 41 watches  
+[ml](categories/ml.md) category, created 2021-07-20, last commit 2023-03-04, main language Python  
+<sub><sup>graphcore, habana, inference, intel, onnx, onnxruntime, optimization, pytorch, quantization, training, transformers</sup></sub>
 
 
-### [pyod](https://github.com/yzhao062/pyod) by [yzhao062](https://github.com/yzhao062)  
-pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)  
-[http://pyod.readthedocs.io](http://pyod.readthedocs.io)  
-[https://github.com/yzhao062/pyod](https://github.com/yzhao062/pyod)  
-24 stars per week over 270 weeks  
-6,529 stars, 1,214 forks, 150 watches  
-[data](categories/data.md) category, created 2017-10-03, last commit 2022-10-24, main language Python  
-<sub><sup>anomaly, anomaly-detection, autoencoder, data-analysis, data-mining, data-science, deep-learning, fraud-detection, machine-learning, neural-networks, novelty-detection, out-of-distribution-detection, outlier-detection, outlier-ensembles, outliers, python, python2, python3, unsupervised-learning</sup></sub>
+### [Merlion](https://github.com/salesforce/merlion) by [salesforce](https://github.com/salesforce)  
+Merlion: A Machine Learning Framework for Time Series Intelligence  
+[https://github.com/salesforce/merlion](https://github.com/salesforce/merlion)  
+34 stars per week over 83 weeks  
+2,891 stars, 247 forks, 46 watches  
+[time-series](categories/time-series.md) category, created 2021-07-28, last commit 2023-02-15, main language Python  
+<sub><sup>anomaly-detection, automl, benchmarking, ensemble-learning, forecasting, machine-learning, time-series</sup></sub>
 
 
-### [hyperopt](https://github.com/hyperopt/hyperopt)  
-hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python  
-[http://hyperopt.github.io/hyperopt](http://hyperopt.github.io/hyperopt)  
-[https://github.com/hyperopt/hyperopt](https://github.com/hyperopt/hyperopt)  
-11 stars per week over 587 weeks  
-6,496 stars, 1,001 forks, 126 watches  
-[ml](categories/ml.md) category, created 2011-09-06, last commit 2021-11-29, main language Python  
+### [nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero) by [karpathy](https://github.com/karpathy)  
+nn-zero-to-hero: Neural Networks: Zero to Hero  
+[https://github.com/karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)  
+290 stars per week over 25 weeks  
+7,393 stars, 685 forks, 240 watches  
+[study](categories/study.md) category, created 2022-09-08, last commit 2023-01-17, main language Jupyter Notebook  
 
 
-### [icecream](https://github.com/gruns/icecream) by [gruns](https://github.com/gruns)  
-icecream: 🍦 Never use print() to debug again.  
-[https://github.com/gruns/icecream](https://github.com/gruns/icecream)  
-25 stars per week over 251 weeks  
-6,449 stars, 134 forks, 50 watches  
-[debug](categories/debug.md) category, created 2018-02-13, last commit 2022-12-04, main language Python  
-<sub><sup>debug, debugging, debugging-tool, inspects, library, print, python, python3</sup></sub>
+### [jinja](https://github.com/pallets/jinja) by [pallets](https://github.com/pallets)  
+jinja: A very fast and expressive template engine.  
+[https://jinja.palletsprojects.com](https://jinja.palletsprojects.com)  
+[https://github.com/pallets/jinja](https://github.com/pallets/jinja)  
+14 stars per week over 646 weeks  
+9,088 stars, 1,544 forks, 250 watches  
+[util](categories/util.md) category, created 2010-10-17, last commit 2023-03-01, main language Python  
+<sub><sup>jinja, jinja2, pallets, python, template-engine, templates</sup></sub>
 
 
-### [pip-tools](https://github.com/jazzband/pip-tools) by [jazzband](https://github.com/jazzband)  
-pip-tools: A set of tools to keep your pinned Python dependencies fresh.  
-[https://pip-tools.rtfd.io](https://pip-tools.rtfd.io)  
-[https://github.com/jazzband/pip-tools](https://github.com/jazzband/pip-tools)  
-12 stars per week over 534 weeks  
-6,442 stars, 551 forks, 105 watches  
-[util](categories/util.md) category, created 2012-09-10, last commit 2022-12-01, main language Python  
-<sub><sup>hashes, lockfile, packaging, pip, pip-compile, pip-tools, python, requirements, setuptools</sup></sub>
+### [SeleniumBase](https://github.com/seleniumbase/seleniumbase) by [seleniumbase](https://github.com/seleniumbase)  
+SeleniumBase: A Python browser automation framework for creating reliable end-to-end tests.  
+[https://seleniumbase.io](https://seleniumbase.io)  
+[https://github.com/seleniumbase/seleniumbase](https://github.com/seleniumbase/seleniumbase)  
+6.72 stars per week over 469 weeks  
+3,157 stars, 761 forks, 122 watches  
+[testing](categories/testing.md) category, created 2014-03-04, last commit 2023-03-04, main language Python  
+<sub><sup>behave, chrome, chromedriver, e2e-testing, firefox, pytest, pytest-plugin, python, python3, selenium, selenium-python, seleniumbase, test, web-automation, webdriver, webkit</sup></sub>
 
 
-### [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
-sqlalchemy: The Database Toolkit for Python  
-[https://www.sqlalchemy.org](https://www.sqlalchemy.org)  
-[https://github.com/sqlalchemy/sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
-30 stars per week over 210 weeks  
-6,408 stars, 1,022 forks, 95 watches  
-[data](categories/data.md) category, created 2018-11-27, last commit 2022-12-06, main language Python  
-<sub><sup>python, sql, sqlalchemy</sup></sub>
+### [bandit](https://github.com/pycqa/bandit) by [pycqa](https://github.com/pycqa)  
+Bandit is a tool designed to find common security issues in Python code.  
+[https://bandit.readthedocs.io](https://bandit.readthedocs.io)  
+[https://github.com/pycqa/bandit](https://github.com/pycqa/bandit)  
+19 stars per week over 253 weeks  
+5,002 stars, 510 forks, 65 watches  
+[security](categories/security.md) category, created 2018-04-26, last commit 2023-03-02, main language Python  
+<sub><sup>bandit, linter, python, security, security-scanner, security-tools, static-code-analysis</sup></sub>
 
 
-### [featuretools](https://github.com/featurelabs/featuretools) by [featurelabs](https://github.com/featurelabs)  
-featuretools: An open source python library for automated feature engineering  
-[https://www.featuretools.com](https://www.featuretools.com)  
-[https://github.com/featurelabs/featuretools](https://github.com/featurelabs/featuretools)  
-23 stars per week over 273 weeks  
-6,406 stars, 834 forks, 158 watches  
-[ml](categories/ml.md) category, created 2017-09-08, last commit 2022-12-06, main language Python  
-<sub><sup>automated-feature-engineering, automated-machine-learning, automl, data-science, feature-engineering, machine-learning, python, scikit-learn</sup></sub>
+### [pyprobml](https://github.com/probml/pyprobml) by [probml](https://github.com/probml)  
+pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy  
+[https://github.com/probml/pyprobml](https://github.com/probml/pyprobml)  
+16 stars per week over 341 weeks  
+5,468 stars, 1,309 forks, 178 watches  
+[ml](categories/ml.md) category, created 2016-08-17, last commit 2023-01-20, main language Jupyter Notebook  
+<sub><sup>blackjax, colab, flax, jax, jupyter-notebooks, machine-learning, numpyro, pml, probabilistic-programming, pymc3, pyro, pytorch, tensorflow</sup></sub>
 
 
-### [hypothesis](https://github.com/hypothesisworks/hypothesis) by [hypothesisworks](https://github.com/hypothesisworks)  
-Hypothesis is a powerful, flexible, and easy to use library for property-based testing.  
-[https://hypothesis.works](https://hypothesis.works)  
-[https://github.com/hypothesisworks/hypothesis](https://github.com/hypothesisworks/hypothesis)  
-12 stars per week over 508 weeks  
-6,373 stars, 537 forks, 69 watches  
-[testing](categories/testing.md) category, created 2013-03-10, last commit 2022-12-04, main language Python  
-<sub><sup>fuzzing, property-based-testing, python, testing</sup></sub>
+### [tsfresh](https://github.com/blue-yonder/tsfresh) by [blue-yonder](https://github.com/blue-yonder)  
+tsfresh: Automatic extraction of relevant features from time series:  
+[http://tsfresh.readthedocs.io](http://tsfresh.readthedocs.io)  
+[https://github.com/blue-yonder/tsfresh](https://github.com/blue-yonder/tsfresh)  
+21 stars per week over 331 weeks  
+7,118 stars, 1,120 forks, 158 watches  
+[time-series](categories/time-series.md) category, created 2016-10-26, last commit 2023-02-28, main language Jupyter Notebook  
+<sub><sup>data-science, feature-extraction, time-series</sup></sub>
 
 
 ### [marshmallow](https://github.com/marshmallow-code/marshmallow) by [marshmallow-code](https://github.com/marshmallow-code)  
 marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.  
 [https://marshmallow.readthedocs.io/](https://marshmallow.readthedocs.io/)  
 [https://github.com/marshmallow-code/marshmallow](https://github.com/marshmallow-code/marshmallow)  
-13 stars per week over 473 weeks  
-6,348 stars, 622 forks, 82 watches  
-[util](categories/util.md) category, created 2013-11-10, last commit 2022-12-05, main language Python  
+13 stars per week over 486 weeks  
+6,445 stars, 623 forks, 81 watches  
+[util](categories/util.md) category, created 2013-11-10, last commit 2023-02-21, main language Python  
 <sub><sup>deserialization, hacktoberfest, marshalling, python, python-3, schema, serde, serialization, validation</sup></sub>
 
 
-### [cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science) by [drivendata](https://github.com/drivendata)  
-cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.  
-[http://drivendata.github.io/cookiecutter-data-science/](http://drivendata.github.io/cookiecutter-data-science/)  
-[https://github.com/drivendata/cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science)  
-16 stars per week over 370 weeks  
-6,292 stars, 2,007 forks, 112 watches  
-[template](categories/template.md) category, created 2015-10-30, last commit 2022-03-11, main language Python  
-<sub><sup>ai, cookiecutter, cookiecutter-data-science, cookiecutter-template, data-science, machine-learning</sup></sub>
+### [annoy](https://github.com/spotify/annoy) by [spotify](https://github.com/spotify)  
+annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk  
+[https://github.com/spotify/annoy](https://github.com/spotify/annoy)  
+20 stars per week over 517 weeks  
+10,849 stars, 1,078 forks, 324 watches  
+[ml](categories/ml.md) category, created 2013-04-01, last commit 2023-02-25, main language C++  
+<sub><sup>approximate-nearest-neighbor-search, c-plus-plus, golang, locality-sensitive-hashing, lua, nearest-neighbor-search, python</sup></sub>
 
 
-### [beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns) by [newsapps](https://github.com/newsapps)  
-beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).  
-[http://apps.chicagotribune.com/](http://apps.chicagotribune.com/)  
-[https://github.com/newsapps/beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns)  
-9.64 stars per week over 649 weeks  
-6,260 stars, 663 forks, 227 watches  
-[testing](categories/testing.md) category, created 2010-06-29, last commit 2017-12-20, main language Python  
+### [ChatterBot](https://github.com/gunthercox/chatterbot) by [gunthercox](https://github.com/gunthercox)  
+ChatterBot is a machine learning, conversational dialog engine for creating chat bots  
+[https://chatterbot.readthedocs.io](https://chatterbot.readthedocs.io)  
+[https://github.com/gunthercox/chatterbot](https://github.com/gunthercox/chatterbot)  
+29 stars per week over 440 weeks  
+12,973 stars, 4,247 forks, 551 watches  
+[nlp](categories/nlp.md) category, created 2014-09-28, last commit 2021-06-01, main language Python  
+<sub><sup>bot, chatbot, chatterbot, conversation, language, machine-learning, python</sup></sub>
 
 
-### [werkzeug](https://github.com/pallets/werkzeug) by [pallets](https://github.com/pallets)  
-werkzeug: The comprehensive WSGI web application library.  
-[https://werkzeug.palletsprojects.com](https://werkzeug.palletsprojects.com)  
-[https://github.com/pallets/werkzeug](https://github.com/pallets/werkzeug)  
-9.83 stars per week over 633 weeks  
-6,226 stars, 1,663 forks, 227 watches  
-[web](categories/web.md) category, created 2010-10-18, last commit 2022-11-01, main language Python  
-<sub><sup>http, pallets, python, werkzeug, wsgi</sup></sub>
+### [pipx](https://github.com/pypa/pipx) by [pypa](https://github.com/pypa)  
+pipx: Install and Run Python Applications in Isolated Environments  
+[https://pypa.github.io/pipx/](https://pypa.github.io/pipx/)  
+[https://github.com/pypa/pipx](https://github.com/pypa/pipx)  
+26 stars per week over 230 weeks  
+6,067 stars, 280 forks, 72 watches  
+[util](categories/util.md) category, created 2018-10-06, last commit 2023-02-11, main language Python  
+<sub><sup>cli, hacktoberfest, pip, pypi, python, venv</sup></sub>
 
 
-### [metaflow](https://github.com/netflix/metaflow) by [netflix](https://github.com/netflix)  
-metaflow: :rocket: Build and manage real-life data science projects with ease!  
-[https://metaflow.org](https://metaflow.org)  
-[https://github.com/netflix/metaflow](https://github.com/netflix/metaflow)  
-36 stars per week over 168 weeks  
-6,193 stars, 577 forks, 239 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-09-17, last commit 2022-12-06, main language Python  
-<sub><sup>ai, cli, data-science, datascience, high-performance-computing, kubernetes, machine-learning, ml, ml-infrastructure, ml-platform, mlops, model-management, productivity, python, r, r-package, reproducible-research, rstats</sup></sub>
+### [captum](https://github.com/pytorch/captum) by [pytorch](https://github.com/pytorch)  
+captum: Model interpretability and understanding for PyTorch  
+[https://captum.ai](https://captum.ai)  
+[https://github.com/pytorch/captum](https://github.com/pytorch/captum)  
+20 stars per week over 183 weeks  
+3,779 stars, 404 forks, 214 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2019-08-27, last commit 2023-02-03, main language Python  
+<sub><sup>feature-attribution, feature-importance, interpretability, interpretable-ai, interpretable-ml</sup></sub>
 
 
-### [pyre-check](https://github.com/facebook/pyre-check) by [facebook](https://github.com/facebook)  
-pyre-check: Performant type-checking for python.  
-[https://pyre-check.org/](https://pyre-check.org/)  
-[https://github.com/facebook/pyre-check](https://github.com/facebook/pyre-check)  
-23 stars per week over 264 weeks  
-6,156 stars, 405 forks, 107 watches  
-[typing](categories/typing.md) category, created 2017-11-10, last commit 2022-12-07, main language OCaml  
-<sub><sup>abstract-interpretation, code-quality, control-flow-analysis, ocaml, program-analysis, python, security, static-analysis, taint-analysis, type-check, typechecker</sup></sub>
+### [py-spy](https://github.com/benfred/py-spy) by [benfred](https://github.com/benfred)  
+py-spy: Sampling profiler for Python programs  
+[https://github.com/benfred/py-spy](https://github.com/benfred/py-spy)  
+40 stars per week over 239 weeks  
+9,796 stars, 347 forks, 111 watches  
+[profiling](categories/profiling.md) category, created 2018-08-01, last commit 2022-12-09, main language Rust  
+<sub><sup>performance-analysis, profiler, profiling, python</sup></sub>
 
 
-### [haystack](https://github.com/deepset-ai/haystack) by [deepset-ai](https://github.com/deepset-ai)  
-haystack: :mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.  
-[https://deepset.ai/haystack](https://deepset.ai/haystack)  
-[https://github.com/deepset-ai/haystack](https://github.com/deepset-ai/haystack)  
-38 stars per week over 159 weeks  
-6,155 stars, 955 forks, 89 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-11-14, last commit 2022-12-07, main language Python  
-<sub><sup>ai, bert, dpr, elasticsearch, information-retrieval, language-model, machine-learning, natural-language-processing, neural-search, nlp, python, pytorch, question-answering, search-engine, semantic-search, squad, summarization, transfer-learning, transformers</sup></sub>
+### [reloadium](https://github.com/reloadware/reloadium) by [reloadware](https://github.com/reloadware)  
+reloadium: Advanced Hot Reloading & Profiling for Python  
+[https://reloadium.io](https://reloadium.io)  
+[https://github.com/reloadware/reloadium](https://github.com/reloadware/reloadium)  
+37 stars per week over 59 weeks  
+2,228 stars, 39 forks, 24 watches  
+[profiling](categories/profiling.md) category, created 2022-01-15, last commit 2023-02-27, main language Python  
+<sub><sup>django, edit-and-continue, flask, hot-reload, hot-reloading, pandas, python, python3</sup></sub>
 
 
-### [dbt-core](https://github.com/dbt-labs/dbt-core) by [dbt-labs](https://github.com/dbt-labs)  
-dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  
-[https://getdbt.com](https://getdbt.com)  
-[https://github.com/dbt-labs/dbt-core](https://github.com/dbt-labs/dbt-core)  
-17 stars per week over 351 weeks  
-6,151 stars, 1,084 forks, 128 watches  
-[ml-ops](categories/ml-ops.md) category, created 2016-03-10, last commit 2022-12-07, main language Python  
-<sub><sup>analytics, business-intelligence, data-modeling, dbt-viewpoint, elt, pypa, slack</sup></sub>
+### [slither](https://github.com/crytic/slither) by [crytic](https://github.com/crytic)  
+slither: Static Analyzer for Solidity  
+[https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/](https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/)  
+[https://github.com/crytic/slither](https://github.com/crytic/slither)  
+16 stars per week over 234 weeks  
+3,873 stars, 704 forks, 62 watches  
+[crypto](categories/crypto.md) category, created 2018-09-05, last commit 2023-02-25, main language Python  
+<sub><sup>ethereum, solidity, static-analysis</sup></sub>
 
 
-### [einops](https://github.com/arogozhnikov/einops) by [arogozhnikov](https://github.com/arogozhnikov)  
-einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)  
-[https://einops.rocks](https://einops.rocks)  
-[https://github.com/arogozhnikov/einops](https://github.com/arogozhnikov/einops)  
-27 stars per week over 219 weeks  
-6,099 stars, 264 forks, 62 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-09-22, last commit 2022-12-04, main language Python  
-<sub><sup>chainer, cupy, deep-learning, gluon, jax, keras, numpy, pytorch, tensor, tensorflow</sup></sub>
+### [coremltools](https://github.com/apple/coremltools) by [apple](https://github.com/apple)  
+coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.  
+[https://coremltools.readme.io](https://coremltools.readme.io)  
+[https://github.com/apple/coremltools](https://github.com/apple/coremltools)  
+10 stars per week over 296 weeks  
+3,140 stars, 488 forks, 114 watches  
+[ml](categories/ml.md) category, created 2017-06-30, last commit 2023-02-21, main language Python  
+<sub><sup>coreml, coremltools, machine-learning, model-conversion, model-converter, pytorch, tensorflow</sup></sub>
 
 
-### [autograd](https://github.com/hips/autograd) by [hips](https://github.com/hips)  
-autograd: Efficiently computes derivatives of numpy code.  
-[https://github.com/hips/autograd](https://github.com/hips/autograd)  
-14 stars per week over 419 weeks  
-6,097 stars, 842 forks, 215 watches  
-[ml](categories/ml.md) category, created 2014-11-24, last commit 2022-09-29, main language Python  
+### [jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop) by [jupyterlab](https://github.com/jupyterlab)  
+jupyterlab-desktop: JupyterLab desktop application, based on Electron.  
+[https://github.com/jupyterlab/jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop)  
+8.59 stars per week over 304 weeks  
+2,616 stars, 237 forks, 42 watches  
+[jupyter](categories/jupyter.md) category, created 2017-05-04, last commit 2023-02-24, main language TypeScript  
+<sub><sup>jupyter, jupyter-notebook, jupyterlab</sup></sub>
 
 
-### [folium](https://github.com/python-visualization/folium) by [python-visualization](https://github.com/python-visualization)  
-folium: Python Data. Leaflet.js Maps.   
-[https://python-visualization.github.io/folium/](https://python-visualization.github.io/folium/)  
-[https://github.com/python-visualization/folium](https://github.com/python-visualization/folium)  
-12 stars per week over 499 weeks  
-6,008 stars, 2,154 forks, 166 watches  
-[gis](categories/gis.md) category, created 2013-05-09, last commit 2022-11-30, main language Python  
-<sub><sup>closember, data-science, data-visualization, javascript, maps, python</sup></sub>
+### [skorch](https://github.com/skorch-dev/skorch) by [skorch-dev](https://github.com/skorch-dev)  
+skorch: A scikit-learn compatible neural network library that wraps PyTorch  
+[https://github.com/skorch-dev/skorch](https://github.com/skorch-dev/skorch)  
+17 stars per week over 293 weeks  
+5,049 stars, 337 forks, 82 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-07-18, last commit 2023-02-13, main language Jupyter Notebook  
+<sub><sup>hacktoberfest, machine-learning, pytorch, scikit-learn</sup></sub>
 
 
-### [dagster](https://github.com/dagster-io/dagster) by [dagster-io](https://github.com/dagster-io)  
-dagster: An orchestration platform for the development, production, and observation of data assets.  
-[https://dagster.io](https://dagster.io)  
-[https://github.com/dagster-io/dagster](https://github.com/dagster-io/dagster)  
-24 stars per week over 240 weeks  
-5,988 stars, 743 forks, 87 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-04-30, last commit 2022-12-06, main language Python  
-<sub><sup>analytics, dagster, data-engineering, data-integration, data-orchestrator, data-pipelines, data-science, etl, metadata, mlops, orchestration, python, scheduler, workflow, workflow-automation</sup></sub>
+### [pandera](https://github.com/pandera-dev/pandera) by [pandera-dev](https://github.com/pandera-dev)  
+pandera: A light-weight, flexible, and expressive statistical data testing library  
+[https://www.union.ai/pandera](https://www.union.ai/pandera)  
+[https://github.com/pandera-dev/pandera](https://github.com/pandera-dev/pandera)  
+8.82 stars per week over 226 weeks  
+1,997 stars, 164 forks, 14 watches  
+[pandas](categories/pandas.md) category, created 2018-11-01, last commit 2023-02-20, main language Python  
+<sub><sup>assertions, data-assertions, data-check, data-cleaning, data-processing, data-validation, data-verification, dataframe-schema, dataframes, hypothesis-testing, pandas, pandas-dataframe, pandas-validation, pandas-validator, schema, testing, testing-tools, validation</sup></sub>
 
 
-### [sktime](https://github.com/sktime/sktime)  
-sktime: A unified framework for machine learning with time series  
-[https://sktime.org](https://sktime.org)  
-[https://github.com/sktime/sktime](https://github.com/sktime/sktime)  
-27 stars per week over 213 weeks  
-5,958 stars, 974 forks, 109 watches  
-[time-series](categories/time-series.md) category, created 2018-11-06, last commit 2022-12-02, main language Python  
-<sub><sup>data-mining, data-science, forecasting, machine-learning, scikit-learn, time-series, time-series-analysis, time-series-classification, time-series-regression</sup></sub>
+### [lightly](https://github.com/lightly-ai/lightly) by [lightly-ai](https://github.com/lightly-ai)  
+lightly: A python library for self-supervised learning on images.  
+[https://docs.lightly.ai/self-supervised-learning/](https://docs.lightly.ai/self-supervised-learning/)  
+[https://github.com/lightly-ai/lightly](https://github.com/lightly-ai/lightly)  
+17 stars per week over 124 weeks  
+2,155 stars, 181 forks, 23 watches  
+[ml](categories/ml.md) category, created 2020-10-13, last commit 2023-03-03, main language Python  
+<sub><sup>active-learning, computer-vision, contrastive-learning, deep-learning, embeddings, machine-learning, pytorch, self-supervised-learning</sup></sub>
 
 
-### [umap](https://github.com/lmcinnes/umap) by [lmcinnes](https://github.com/lmcinnes)  
-umap: Uniform Manifold Approximation and Projection  
-[https://github.com/lmcinnes/umap](https://github.com/lmcinnes/umap)  
-20 stars per week over 283 weeks  
-5,939 stars, 692 forks, 125 watches  
-[ml](categories/ml.md) category, created 2017-07-02, last commit 2022-11-11, main language Python  
-<sub><sup>dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization</sup></sub>
+### [qiskit](https://github.com/qiskit/qiskit)  
+Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.  
+[https://qiskit.org](https://qiskit.org)  
+[https://github.com/qiskit/qiskit](https://github.com/qiskit/qiskit)  
+13 stars per week over 220 weeks  
+2,913 stars, 778 forks, 97 watches  
+[sim](categories/sim.md) category, created 2018-12-12, last commit 2023-03-02, main language OpenQASM  
+<sub><sup>documentation, qiskit, quantum-computing, quantum-programming-language</sup></sub>
 
 
-### [uvicorn](https://github.com/encode/uvicorn) by [encode](https://github.com/encode)  
-uvicorn: An ASGI web server, for Python. 🦄  
-[https://www.uvicorn.org/](https://www.uvicorn.org/)  
-[https://github.com/encode/uvicorn](https://github.com/encode/uvicorn)  
-20 stars per week over 288 weeks  
-5,925 stars, 524 forks, 86 watches  
-[web](categories/web.md) category, created 2017-05-31, last commit 2022-12-06, main language Python  
-<sub><sup>asgi, asyncio, http, http-server, python</sup></sub>
+### [knowledge-repo](https://github.com/airbnb/knowledge-repo) by [airbnb](https://github.com/airbnb)  
+knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.  
+[https://github.com/airbnb/knowledge-repo](https://github.com/airbnb/knowledge-repo)  
+15 stars per week over 341 weeks  
+5,282 stars, 710 forks, 175 watches  
+[data](categories/data.md) category, created 2016-08-17, last commit 2023-03-01, main language Python  
+<sub><sup>data, data-analysis, data-science, knowledge</sup></sub>
 
 
-### [BlenderGIS](https://github.com/domlysz/blendergis) by [domlysz](https://github.com/domlysz)  
-BlenderGIS: Blender addons to make the bridge between Blender and geographic data  
-[https://github.com/domlysz/blendergis](https://github.com/domlysz/blendergis)  
-13 stars per week over 447 weeks  
-5,848 stars, 1,087 forks, 244 watches  
-[gis](categories/gis.md) category, created 2014-05-08, last commit 2022-05-31, main language Python  
-<sub><sup>3d, 3d-map, 3dgis, addon, basemap, blender, delaunay-triangulation, dem, geodata, georeferencing, geospatial, gis, importexport, map, openstreetmap, python, raster, shapefile, terrain-model</sup></sub>
+### [bullet3](https://github.com/bulletphysics/bullet3) by [bulletphysics](https://github.com/bulletphysics)  
+bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.  
+[http://bulletphysics.org](http://bulletphysics.org)  
+[https://github.com/bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)  
+16 stars per week over 620 weeks  
+10,303 stars, 2,668 forks, 403 watches  
+[sim](categories/sim.md) category, created 2011-04-12, last commit 2023-02-24, main language C++  
+<sub><sup>computer-animation, game-development, kinematics, pybullet, reinforcement-learning, robotics, simulation, simulator, virtual-reality</sup></sub>
 
 
-### [espnet](https://github.com/espnet/espnet)  
-espnet: End-to-End Speech Processing Toolkit  
-[https://espnet.github.io/espnet/](https://espnet.github.io/espnet/)  
-[https://github.com/espnet/espnet](https://github.com/espnet/espnet)  
-22 stars per week over 260 weeks  
-5,797 stars, 1,779 forks, 183 watches  
-[nlp](categories/nlp.md) category, created 2017-12-13, last commit 2022-12-06, main language Python  
-<sub><sup>chainer, deep-learning, end-to-end, kaldi, machine-translation, pytorch, singing-voice-synthesis, speaker-diarization, speech-enhancement, speech-recognition, speech-separation, speech-synthesis, speech-translation, spoken-language-understanding, voice-conversion</sup></sub>
+### [twint](https://github.com/twintproject/twint) by [twintproject](https://github.com/twintproject)  
+twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.  
+[https://github.com/twintproject/twint](https://github.com/twintproject/twint)  
+48 stars per week over 299 weeks  
+14,458 stars, 2,490 forks, 313 watches  
+[data](categories/data.md) category, created 2017-06-10, last commit 2021-03-02, main language Python  
+<sub><sup>elasticsearch, kibana, osint, python, scrape, scrape-followers, scrape-following, scrape-likes, tweep, tweets, twint, twitter</sup></sub>
 
 
-### [pipx](https://github.com/pypa/pipx) by [pypa](https://github.com/pypa)  
-pipx: Install and Run Python Applications in Isolated Environments  
-[https://pypa.github.io/pipx/](https://pypa.github.io/pipx/)  
-[https://github.com/pypa/pipx](https://github.com/pypa/pipx)  
-26 stars per week over 217 weeks  
-5,769 stars, 265 forks, 65 watches  
-[util](categories/util.md) category, created 2018-10-06, last commit 2022-12-01, main language Python  
-<sub><sup>cli, hacktoberfest, pip, pypi, python, venv</sup></sub>
+### [ploomber](https://github.com/ploomber/ploomber)  
+ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️  
+[https://ploomber.io](https://ploomber.io)  
+[https://github.com/ploomber/ploomber](https://github.com/ploomber/ploomber)  
+18 stars per week over 162 weeks  
+2,983 stars, 206 forks, 26 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-01-20, last commit 2023-01-31, main language Python  
+<sub><sup>data-engineering, data-science, jupyter, jupyter-notebooks, machine-learning, mlops, notebooks, papermill, pipelines, pycharm, vscode, workflow</sup></sub>
 
 
-### [jupytext](https://github.com/mwouts/jupytext) by [mwouts](https://github.com/mwouts)  
-jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts  
-[https://jupytext.readthedocs.io](https://jupytext.readthedocs.io)  
-[https://github.com/mwouts/jupytext](https://github.com/mwouts/jupytext)  
-24 stars per week over 233 weeks  
-5,695 stars, 361 forks, 70 watches  
-[jupyter](categories/jupyter.md) category, created 2018-06-15, last commit 2022-11-12, main language Python  
-<sub><sup>hydrogen, jupyter-notebook, jupyterlab, jupyterlab-extension, knitr, markdown, notebooks, python, rmarkdown, rstudio, version-control</sup></sub>
+### [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) by [kingoflolz](https://github.com/kingoflolz)  
+mesh-transformer-jax: Model parallel transformers in JAX and Haiku  
+[https://github.com/kingoflolz/mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax)  
+52 stars per week over 103 weeks  
+5,398 stars, 773 forks, 92 watches  
+[nlp](categories/nlp.md) category, created 2021-03-13, last commit 2023-01-12, main language Python  
 
 
-### [latexify_py](https://github.com/google/latexify_py) by [google](https://github.com/google)  
-latexify_py: A library to generate LaTeX expression from Python code.  
-[https://github.com/google/latexify_py](https://github.com/google/latexify_py)  
-45 stars per week over 123 weeks  
-5,679 stars, 310 forks, 51 watches  
-[util](categories/util.md) category, created 2020-07-25, last commit 2022-12-07, main language Python  
+### [leafmap](https://github.com/giswqs/leafmap) by [giswqs](https://github.com/giswqs)  
+leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment  
+[https://leafmap.org](https://leafmap.org)  
+[https://github.com/giswqs/leafmap](https://github.com/giswqs/leafmap)  
+14 stars per week over 103 weeks  
+1,527 stars, 190 forks, 46 watches  
+[gis](categories/gis.md) category, created 2021-03-10, last commit 2023-03-04, main language Python  
+<sub><sup>data-science, dataviz, folium, geopython, geospatial, geospatial-analysis, gis, ipyleaflet, jupyter, jupyter-notebook, keplergl, leafmap, mapping, plotly, pydeck, python, streamlit, streamlit-webapp, whiteboxtools</sup></sub>
+
+
+### [opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) by [open-telemetry](https://github.com/open-telemetry)  
+opentelemetry-python: OpenTelemetry Python API and SDK   
+[https://opentelemetry.io](https://opentelemetry.io)  
+[https://github.com/open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python)  
+6.01 stars per week over 199 weeks  
+1,201 stars, 436 forks, 34 watches  
+[util](categories/util.md) category, created 2019-05-07, last commit 2023-03-03, main language Python  
+<sub><sup>correlationcontext, distributed-tracing, logging, metrics, opentelemetry, python, sdk, tracecontext</sup></sub>
+
+
+### [opencv-python](https://github.com/skvark/opencv-python) by [skvark](https://github.com/skvark)  
+opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.  
+[https://pypi.org/project/opencv-python/](https://pypi.org/project/opencv-python/)  
+[https://github.com/skvark/opencv-python](https://github.com/skvark/opencv-python)  
+9.16 stars per week over 360 weeks  
+3,301 stars, 640 forks, 81 watches  
+[ml](categories/ml.md) category, created 2016-04-08, last commit 2023-02-22, main language Shell  
+<sub><sup>manylinux, opencv, opencv-contrib-python, opencv-python, precompiled, pypi, python, python-3, wheel</sup></sub>
+
+
+### [mimesis](https://github.com/lk-geimfari/mimesis) by [lk-geimfari](https://github.com/lk-geimfari)  
+Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.   
+[https://mimesis.name](https://mimesis.name)  
+[https://github.com/lk-geimfari/mimesis](https://github.com/lk-geimfari/mimesis)  
+11 stars per week over 338 weeks  
+3,915 stars, 308 forks, 64 watches  
+[data](categories/data.md) category, created 2016-09-09, last commit 2023-02-26, main language Python  
+<sub><sup>api-mock, data, datascience, dummy, fake, faker, fixtures, generator, json, json-generator, mimesis, mock, python, schema, synthetic-data, testing</sup></sub>
 
 
-### [cleverhans](https://github.com/cleverhans-lab/cleverhans) by [cleverhans-lab](https://github.com/cleverhans-lab)  
-cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both  
-[https://github.com/cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)  
-17 stars per week over 324 weeks  
-5,661 stars, 1,377 forks, 190 watches  
-[ml](categories/ml.md) category, created 2016-09-15, last commit 2021-09-23, main language Jupyter Notebook  
-<sub><sup>benchmarking, machine-learning, security</sup></sub>
+### [mlxtend](https://github.com/rasbt/mlxtend) by [rasbt](https://github.com/rasbt)  
+mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.  
+[http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)  
+[https://github.com/rasbt/mlxtend](https://github.com/rasbt/mlxtend)  
+9.6 stars per week over 446 weeks  
+4,286 stars, 806 forks, 117 watches  
+[ml](categories/ml.md) category, created 2014-08-14, last commit 2023-02-26, main language Python  
+<sub><sup>association-rules, data-mining, data-science, machine-learning, python, supervised-learning, unsupervised-learning</sup></sub>
 
 
-### [PyGithub](https://github.com/pygithub/pygithub) by [pygithub](https://github.com/pygithub)  
-PyGithub: Typed interactions with the GitHub API v3  
-[https://pygithub.readthedocs.io/](https://pygithub.readthedocs.io/)  
-[https://github.com/pygithub/pygithub](https://github.com/pygithub/pygithub)  
-10 stars per week over 562 weeks  
-5,646 stars, 1,554 forks, 113 watches  
-[util](categories/util.md) category, created 2012-02-25, last commit 2022-11-09, main language Python  
-<sub><sup>github, github-api, pygithub, python</sup></sub>
+### [vispy](https://github.com/vispy/vispy)  
+vispy: Main repository for Vispy  
+[http://vispy.org](http://vispy.org)  
+[https://github.com/vispy/vispy](https://github.com/vispy/vispy)  
+5.82 stars per week over 519 weeks  
+3,022 stars, 607 forks, 119 watches  
+[viz](categories/viz.md) category, created 2013-03-21, last commit 2023-01-23, main language Python  
+<sub><sup>closember, hacktoberfest, opengl, python, visualization</sup></sub>
 
 
-### [Surprise](https://github.com/nicolashug/surprise) by [nicolashug](https://github.com/nicolashug)  
-Surprise: A Python scikit for building and analyzing recommender systems  
-[http://surpriselib.com](http://surpriselib.com)  
-[https://github.com/nicolashug/surprise](https://github.com/nicolashug/surprise)  
-17 stars per week over 319 weeks  
-5,623 stars, 960 forks, 149 watches  
-[ml](categories/ml.md) category, created 2016-10-23, last commit 2022-10-31, main language Python  
-<sub><sup>factorization, machine-learning, matrix, recommendation, recommender, svd, systems</sup></sub>
+### [mmf](https://github.com/facebookresearch/mmf) by [facebookresearch](https://github.com/facebookresearch)  
+mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)  
+[https://mmf.sh/](https://mmf.sh/)  
+[https://github.com/facebookresearch/mmf](https://github.com/facebookresearch/mmf)  
+21 stars per week over 244 weeks  
+5,154 stars, 911 forks, 117 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-06-27, last commit 2023-02-02, main language Python  
+<sub><sup>captioning, deep-learning, dialog, hateful-memes, multi-tasking, multimodal, pretrained-models, pytorch, textvqa, vqa</sup></sub>
 
 
-### [pygame](https://github.com/pygame/pygame)  
-pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.  
-[https://www.pygame.org](https://www.pygame.org)  
-[https://github.com/pygame/pygame](https://github.com/pygame/pygame)  
-18 stars per week over 297 weeks  
-5,518 stars, 2,415 forks, 160 watches  
-[gamedev](categories/gamedev.md) category, created 2017-03-26, last commit 2022-12-04, main language C  
-<sub><sup>game-dev, game-development, gamedev, pygame, python, sdl, sdl2</sup></sub>
+### [mplfinance](https://github.com/matplotlib/mplfinance) by [matplotlib](https://github.com/matplotlib)  
+mplfinance: Financial Markets Data Visualization using Matplotlib  
+[https://pypi.org/project/mplfinance/](https://pypi.org/project/mplfinance/)  
+[https://github.com/matplotlib/mplfinance](https://github.com/matplotlib/mplfinance)  
+15 stars per week over 169 weeks  
+2,620 stars, 534 forks, 85 watches  
+[finance](categories/finance.md) category, created 2019-12-05, last commit 2023-01-26, main language Python  
+<sub><sup>candlestick, candlestick-chart, candlestickchart, finance, hacktoberfest, hacktoberfest2022, hactoberfest, intraday-data, market-data, matplotlib, mplfinance, ohlc, ohlc-chart, ohlc-data, ohlc-plot, ohlcv, trading-days</sup></sub>
 
 
-### [flower](https://github.com/mher/flower) by [mher](https://github.com/mher)  
-flower: Real-time monitor and web admin for Celery distributed task queue  
-[https://flower.readthedocs.io](https://flower.readthedocs.io)  
-[https://github.com/mher/flower](https://github.com/mher/flower)  
-10 stars per week over 543 weeks  
-5,476 stars, 978 forks, 144 watches  
-[perf](categories/perf.md) category, created 2012-07-08, last commit 2022-11-14, main language Python  
-<sub><sup>administration, asynchronous, celery, monitoring, python, rabbitmq, redis, task-queue, workers</sup></sub>
+### [lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template) by [ashleve](https://github.com/ashleve)  
+lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡  
+[https://github.com/ashleve/lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template)  
+19 stars per week over 121 weeks  
+2,334 stars, 401 forks, 20 watches  
+[util](categories/util.md) category, created 2020-11-04, last commit 2023-02-11, main language Python  
+<sub><sup>best-practices, comet, config, deep-learning, hydra, mlflow, mlops, neptune, project-structure, pytorch, pytorch-lightning, reproducibility, template, tensorboard, wandb</sup></sub>
 
 
-### [python-dotenv](https://github.com/theskumar/python-dotenv) by [theskumar](https://github.com/theskumar)  
-python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.  
-[https://saurabh-kumar.com/python-dotenv/](https://saurabh-kumar.com/python-dotenv/)  
-[https://github.com/theskumar/python-dotenv](https://github.com/theskumar/python-dotenv)  
-12 stars per week over 430 weeks  
-5,470 stars, 353 forks, 33 watches  
-[util](categories/util.md) category, created 2014-09-06, last commit 2022-11-25, main language Python  
-<sub><sup>12-factor-app, configuration, devops-tools, dotenv, env, environment-variables, python</sup></sub>
+### [PyWebIO](https://github.com/pywebio/pywebio) by [pywebio](https://github.com/pywebio)  
+PyWebIO: Write interactive web app in script way.  
+[https://pywebio.readthedocs.io](https://pywebio.readthedocs.io)  
+[https://github.com/pywebio/pywebio](https://github.com/pywebio/pywebio)  
+23 stars per week over 157 weeks  
+3,718 stars, 334 forks, 50 watches  
+[web](categories/web.md) category, created 2020-02-29, last commit 2023-02-06, main language Python  
+<sub><sup>pywebio</sup></sub>
 
 
-### [dowhy](https://github.com/py-why/dowhy) by [py-why](https://github.com/py-why)  
-DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.   
-[https://www.pywhy.org/dowhy](https://www.pywhy.org/dowhy)  
-[https://github.com/py-why/dowhy](https://github.com/py-why/dowhy)  
-23 stars per week over 235 weeks  
-5,445 stars, 766 forks, 135 watches  
-[ml](categories/ml.md) category, created 2018-05-31, last commit 2022-12-06, main language Python  
-<sub><sup>bayesian-networks, causal-inference, causal-machine-learning, causal-models, causality, data-science, do-calculus, graphical-models, machine-learning, python3, treatment-effects</sup></sub>
+### [deepmind-research](https://github.com/deepmind/deepmind-research) by [deepmind](https://github.com/deepmind)  
+deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications  
+[https://github.com/deepmind/deepmind-research](https://github.com/deepmind/deepmind-research)  
+53 stars per week over 215 weeks  
+11,494 stars, 2,359 forks, 329 watches  
+[ml](categories/ml.md) category, created 2019-01-15, last commit 2023-01-31, main language Jupyter Notebook  
 
 
-### [isort](https://github.com/pycqa/isort) by [pycqa](https://github.com/pycqa)  
-isort: A Python utility / library to sort imports.  
-[https://pycqa.github.io/isort/](https://pycqa.github.io/isort/)  
-[https://github.com/pycqa/isort](https://github.com/pycqa/isort)  
-11 stars per week over 483 weeks  
-5,393 stars, 498 forks, 42 watches  
-[util](categories/util.md) category, created 2013-09-02, last commit 2022-05-20, main language Python  
-<sub><sup>auto-formatter, cleaner, cli, formatter, hacktoberfest, isort, linter, python, python-utility, python3, sorting-imports</sup></sub>
+### [PyGithub](https://github.com/pygithub/pygithub) by [pygithub](https://github.com/pygithub)  
+PyGithub: Typed interactions with the GitHub API v3  
+[https://pygithub.readthedocs.io/](https://pygithub.readthedocs.io/)  
+[https://github.com/pygithub/pygithub](https://github.com/pygithub/pygithub)  
+10 stars per week over 575 weeks  
+5,830 stars, 1,595 forks, 112 watches  
+[util](categories/util.md) category, created 2012-02-25, last commit 2023-02-23, main language Python  
+<sub><sup>github, github-api, pygithub, python</sup></sub>
 
 
-### [latent-diffusion](https://github.com/compvis/latent-diffusion) by [compvis](https://github.com/compvis)  
-latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models  
-[https://github.com/compvis/latent-diffusion](https://github.com/compvis/latent-diffusion)  
-106 stars per week over 50 weeks  
-5,350 stars, 690 forks, 70 watches  
-[diffusion](categories/diffusion.md) category, created 2021-12-20, last commit 2022-07-26, main language Jupyter Notebook  
+### [pytype](https://github.com/google/pytype) by [google](https://github.com/google)  
+pytype: A static type analyzer for Python code  
+[https://google.github.io/pytype](https://google.github.io/pytype)  
+[https://github.com/google/pytype](https://github.com/google/pytype)  
+9.93 stars per week over 415 weeks  
+4,128 stars, 267 forks, 56 watches  
+[typing](categories/typing.md) category, created 2015-03-18, last commit 2023-03-03, main language Python  
+<sub><sup>linter, python, static-analysis, static-code-analysis, typechecker, types, typing</sup></sub>
 
 
-### [flashtext](https://github.com/vi3k6i5/flashtext) by [vi3k6i5](https://github.com/vi3k6i5)  
-flashtext: Extract Keywords from sentence or Replace keywords in sentences.  
-[https://github.com/vi3k6i5/flashtext](https://github.com/vi3k6i5/flashtext)  
-19 stars per week over 277 weeks  
-5,321 stars, 598 forks, 139 watches  
-[data](categories/data.md) category, created 2017-08-15, last commit 2020-05-03, main language Python  
-<sub><sup>data-extraction, keyword-extraction, nlp, search-in-text, word2vec</sup></sub>
+### [tenacity](https://github.com/jd/tenacity) by [jd](https://github.com/jd)  
+tenacity: Retrying library for Python  
+[http://tenacity.readthedocs.io](http://tenacity.readthedocs.io)  
+[https://github.com/jd/tenacity](https://github.com/jd/tenacity)  
+13 stars per week over 342 weeks  
+4,520 stars, 225 forks, 44 watches  
+[util](categories/util.md) category, created 2016-08-11, last commit 2023-02-28, main language Python  
+<sub><sup>failure, hacktoberfest, python, retry, retry-library</sup></sub>
 
 
-### [lama-cleaner](https://github.com/sanster/lama-cleaner) by [sanster](https://github.com/sanster)  
-lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.  
-[https://github.com/sanster/lama-cleaner](https://github.com/sanster/lama-cleaner)  
-95 stars per week over 55 weeks  
-5,278 stars, 415 forks, 42 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-11-15, last commit 2022-12-05, main language Python  
-<sub><sup>inpainting, lama, latent-diffusion, mat, pytorch, stable-diffusion, zits</sup></sub>
+### [warehouse](https://github.com/pypi/warehouse) by [pypi](https://github.com/pypi)  
+warehouse: The Python Package Index  
+[https://pypi.org](https://pypi.org)  
+[https://github.com/pypi/warehouse](https://github.com/pypi/warehouse)  
+6.09 stars per week over 518 weeks  
+3,157 stars, 908 forks, 105 watches  
+[util](categories/util.md) category, created 2013-03-30, last commit 2023-03-03, main language Python  
 
 
-### [pyprobml](https://github.com/probml/pyprobml) by [probml](https://github.com/probml)  
-pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy  
-[https://github.com/probml/pyprobml](https://github.com/probml/pyprobml)  
-15 stars per week over 329 weeks  
-5,256 stars, 1,243 forks, 173 watches  
-[ml](categories/ml.md) category, created 2016-08-17, last commit 2022-11-26, main language Jupyter Notebook  
-<sub><sup>blackjax, colab, flax, jax, jupyter-notebooks, machine-learning, numpyro, pml, probabilistic-programming, pymc3, pyro, pytorch, tensorflow</sup></sub>
+### [auto-sklearn](https://github.com/automl/auto-sklearn) by [automl](https://github.com/automl)  
+auto-sklearn: Automated Machine Learning with scikit-learn  
+[https://automl.github.io/auto-sklearn](https://automl.github.io/auto-sklearn)  
+[https://github.com/automl/auto-sklearn](https://github.com/automl/auto-sklearn)  
+16 stars per week over 400 weeks  
+6,772 stars, 1,213 forks, 213 watches  
+[ml](categories/ml.md) category, created 2015-07-02, last commit 2022-12-07, main language Python  
+<sub><sup>automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, meta-learning, metalearning, scikit-learn, smac</sup></sub>
 
 
-### [knowledge-repo](https://github.com/airbnb/knowledge-repo) by [airbnb](https://github.com/airbnb)  
-knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.  
-[https://github.com/airbnb/knowledge-repo](https://github.com/airbnb/knowledge-repo)  
-15 stars per week over 329 weeks  
-5,229 stars, 704 forks, 180 watches  
-[data](categories/data.md) category, created 2016-08-17, last commit 2022-12-06, main language Python  
-<sub><sup>data, data-analysis, data-science, knowledge</sup></sub>
+### [RecBole](https://github.com/rucaibox/recbole) by [rucaibox](https://github.com/rucaibox)  
+RecBole: A unified, comprehensive and efficient recommendation library  
+[https://recbole.io/](https://recbole.io/)  
+[https://github.com/rucaibox/recbole](https://github.com/rucaibox/recbole)  
+17 stars per week over 142 weeks  
+2,491 stars, 459 forks, 39 watches  
+[ml](categories/ml.md) category, created 2020-06-11, last commit 2023-03-02, main language Python  
+<sub><sup>collaborative-filtering, ctr-prediction, deep-learning, graph-neural-networks, knowledge-graph, pytorch, recommendation-system, recommendations, recommender, recommender-systems, sequential-recommendation</sup></sub>
 
 
-### [automl](https://github.com/google/automl) by [google](https://github.com/google)  
-automl: Google Brain AutoML  
-[https://github.com/google/automl](https://github.com/google/automl)  
-36 stars per week over 142 weeks  
-5,209 stars, 1,382 forks, 150 watches  
-[ml](categories/ml.md) category, created 2020-03-12, last commit 2022-10-09, main language Jupyter Notebook  
-<sub><sup>automl, efficientdet, efficientnet, efficientnetv2, object-detection</sup></sub>
+### [fastapi-users](https://github.com/fastapi-users/fastapi-users)  
+fastapi-users: Ready-to-use and customizable users management for FastAPI  
+[https://fastapi-users.github.io/fastapi-users/](https://fastapi-users.github.io/fastapi-users/)  
+[https://github.com/fastapi-users/fastapi-users](https://github.com/fastapi-users/fastapi-users)  
+14 stars per week over 178 weeks  
+2,520 stars, 250 forks, 34 watches  
+[web](categories/web.md) category, created 2019-10-05, last commit 2023-02-14, main language Python  
+<sub><sup>async, asyncio, fastapi, fastapi-users, python, starlette, users</sup></sub>
 
 
-### [cryptography](https://github.com/pyca/cryptography) by [pyca](https://github.com/pyca)  
-cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.  
-[https://cryptography.io](https://cryptography.io)  
-[https://github.com/pyca/cryptography](https://github.com/pyca/cryptography)  
-10 stars per week over 487 weeks  
-5,207 stars, 1,099 forks, 119 watches  
-[util](categories/util.md) category, created 2013-08-07, last commit 2022-12-07, main language Python  
-<sub><sup>cryptography, python</sup></sub>
+### [pyglet](https://github.com/pyglet/pyglet)  
+pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.  
+[http://pyglet.org](http://pyglet.org)  
+[https://github.com/pyglet/pyglet](https://github.com/pyglet/pyglet)  
+7.27 stars per week over 195 weeks  
+1,417 stars, 252 forks, 32 watches  
+[gamedev](categories/gamedev.md) category, created 2019-06-09, last commit 2023-03-03, main language Python  
+<sub><sup>gamedev, opengl, pyglet, python, scientific-visualization</sup></sub>
 
 
-### [pendulum](https://github.com/sdispater/pendulum) by [sdispater](https://github.com/sdispater)  
-pendulum: Python datetimes made easy  
-[https://pendulum.eustace.io](https://pendulum.eustace.io)  
-[https://github.com/sdispater/pendulum](https://github.com/sdispater/pendulum)  
-15 stars per week over 336 weeks  
-5,204 stars, 308 forks, 63 watches  
-[util](categories/util.md) category, created 2016-06-27, last commit 2022-11-24, main language Python  
-<sub><sup>date, datetime, python, python3, time, timezones</sup></sub>
+### [handcalcs](https://github.com/connorferster/handcalcs) by [connorferster](https://github.com/connorferster)  
+handcalcs: Python library for converting Python calculations into rendered latex.  
+[https://github.com/connorferster/handcalcs](https://github.com/connorferster/handcalcs)  
+32 stars per week over 158 weeks  
+5,140 stars, 398 forks, 78 watches  
+[jupyter](categories/jupyter.md) category, created 2020-02-19, last commit 2022-12-27, main language CSS  
 
 
-### [scikit-image](https://github.com/scikit-image/scikit-image)  
-scikit-image: Image processing in Python  
-[https://scikit-image.org](https://scikit-image.org)  
-[https://github.com/scikit-image/scikit-image](https://github.com/scikit-image/scikit-image)  
-8.65 stars per week over 595 weeks  
-5,153 stars, 2,076 forks, 187 watches  
-[util](categories/util.md) category, created 2011-07-07, last commit 2022-12-03, main language Python  
-<sub><sup>closember, computer-vision, hacktoberfest, image-processing, python</sup></sub>
+### [fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices) by [zhanymkanov](https://github.com/zhanymkanov)  
+fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me  
+[https://github.com/zhanymkanov/fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices)  
+91 stars per week over 29 weeks  
+2,721 stars, 198 forks, 52 watches  
+[study](categories/study.md) category, created 2022-08-09, last commit 2023-01-09, main language None  
+<sub><sup>best-practices, fastapi</sup></sub>
 
 
-### [NeMo](https://github.com/nvidia/nemo) by [nvidia](https://github.com/nvidia)  
-NeMo: a toolkit for conversational AI  
-[https://nvidia.github.io/NeMo/](https://nvidia.github.io/NeMo/)  
-[https://github.com/nvidia/nemo](https://github.com/nvidia/nemo)  
-29 stars per week over 174 weeks  
-5,145 stars, 1,284 forks, 137 watches  
-[nlp](categories/nlp.md) category, created 2019-08-05, last commit 2022-12-07, main language Python  
-<sub><sup>asr, deep-learning, language-model, machine-translation, neural-network, nlp, nlp-machine-learning, nmt, speaker-diarization, speaker-recognition, speech-recognition, speech-synthesis, speech-to-text, text-normalization, text-to-speech, tts</sup></sub>
+### [stumpy](https://github.com/tdameritrade/stumpy) by [tdameritrade](https://github.com/tdameritrade)  
+STUMPY is a powerful and scalable Python library for modern time series analysis  
+[https://stumpy.readthedocs.io/en/latest/](https://stumpy.readthedocs.io/en/latest/)  
+[https://github.com/tdameritrade/stumpy](https://github.com/tdameritrade/stumpy)  
+12 stars per week over 200 weeks  
+2,562 stars, 248 forks, 53 watches  
+[time-series](categories/time-series.md) category, created 2019-05-03, last commit 2023-02-16, main language Python  
+<sub><sup>anomaly-detection, dask, data-science, matrix-profile, motif-discovery, numba, pattern-matching, pydata, python, time-series-analysis, time-series-data-mining, time-series-segmentation</sup></sub>
 
 
-### [autogluon](https://github.com/awslabs/autogluon) by [awslabs](https://github.com/awslabs)  
-AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data  
-[https://auto.gluon.ai/](https://auto.gluon.ai/)  
-[https://github.com/awslabs/autogluon](https://github.com/awslabs/autogluon)  
-29 stars per week over 175 weeks  
-5,124 stars, 672 forks, 96 watches  
-[ml](categories/ml.md) category, created 2019-07-29, last commit 2022-12-07, main language Python  
-<sub><sup>autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning, ensemble-learning, gluon, hyperparameter-optimization, image-classification, machine-learning, natural-language-processing, object-detection, pytorch, scikit-learn, structured-data, tabular-data, time-series, transfer-learning</sup></sub>
+### [papermill](https://github.com/nteract/papermill) by [nteract](https://github.com/nteract)  
+papermill: 📚 Parameterize, execute, and analyze notebooks  
+[http://papermill.readthedocs.io/en/latest/](http://papermill.readthedocs.io/en/latest/)  
+[https://github.com/nteract/papermill](https://github.com/nteract/papermill)  
+17 stars per week over 295 weeks  
+5,130 stars, 388 forks, 91 watches  
+[jupyter](categories/jupyter.md) category, created 2017-07-06, last commit 2022-10-18, main language Python  
+<sub><sup>julia, jupyter, notebook, notebook-generator, notebooks, nteract, pipeline, publishing, python, r, scala</sup></sub>
 
 
-### [darts](https://github.com/unit8co/darts) by [unit8co](https://github.com/unit8co)  
-darts: A python library for easy manipulation and forecasting of time series.  
-[https://unit8co.github.io/darts/](https://unit8co.github.io/darts/)  
-[https://github.com/unit8co/darts](https://github.com/unit8co/darts)  
-23 stars per week over 220 weeks  
-5,102 stars, 551 forks, 41 watches  
-[time-series](categories/time-series.md) category, created 2018-09-13, last commit 2022-12-01, main language Python  
-<sub><sup>deep-learning, forecasting, machine-learning, python, time-series</sup></sub>
+### [tpot](https://github.com/epistasislab/tpot) by [epistasislab](https://github.com/epistasislab)  
+tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.  
+[http://epistasislab.github.io/tpot/](http://epistasislab.github.io/tpot/)  
+[https://github.com/epistasislab/tpot](https://github.com/epistasislab/tpot)  
+23 stars per week over 382 weeks  
+8,968 stars, 1,517 forks, 293 watches  
+[ml](categories/ml.md) category, created 2015-11-03, last commit 2022-07-29, main language Python  
+<sub><sup>adsp, ag066833, aiml, alzheimer, alzheimers, automated-machine-learning, automation, automl, data-science, feature-engineering, gradient-boosting, hyperparameter-optimization, machine-learning, model-selection, nia, parameter-tuning, python, random-forest, scikit-learn, u01ag066833</sup></sub>
 
 
-### [mmf](https://github.com/facebookresearch/mmf) by [facebookresearch](https://github.com/facebookresearch)  
-mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)  
-[https://mmf.sh/](https://mmf.sh/)  
-[https://github.com/facebookresearch/mmf](https://github.com/facebookresearch/mmf)  
-21 stars per week over 232 weeks  
-5,084 stars, 895 forks, 117 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-06-27, last commit 2022-10-19, main language Python  
-<sub><sup>captioning, deep-learning, dialog, hateful-memes, multi-tasking, multimodal, pretrained-models, pytorch, textvqa, vqa</sup></sub>
+### [pandarallel](https://github.com/nalepae/pandarallel) by [nalepae](https://github.com/nalepae)  
+pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs  
+[https://nalepae.github.io/pandarallel](https://nalepae.github.io/pandarallel)  
+[https://github.com/nalepae/pandarallel](https://github.com/nalepae/pandarallel)  
+13 stars per week over 208 weeks  
+2,907 stars, 176 forks, 27 watches  
+[pandas](categories/pandas.md) category, created 2019-03-10, last commit 2023-02-12, main language Python  
+<sub><sup>pandas, parallel, python</sup></sub>
 
 
-### [deeplake](https://github.com/activeloopai/hub) by [activeloopai](https://github.com/activeloopai)  
-deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai   
-[https://activeloop.ai](https://activeloop.ai)  
-[https://github.com/activeloopai/hub](https://github.com/activeloopai/hub)  
-29 stars per week over 173 weeks  
-5,059 stars, 409 forks, 63 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-08-09, last commit 2022-12-06, main language Python  
-<sub><sup>ai, computer-vision, cv, data-centric, data-processing, data-science, data-version-control, datalake, datasets, deep-learning, image-processing, jupyter-notebook, lakehouse, machine-learning, ml, mlops, python, pytorch, tensorflow</sup></sub>
+### [line_profiler](https://github.com/pyutils/line_profiler) by [pyutils](https://github.com/pyutils)  
+line_profiler: Line-by-line profiling for Python  
+[https://github.com/pyutils/line_profiler](https://github.com/pyutils/line_profiler)  
+9.98 stars per week over 168 weeks  
+1,684 stars, 97 forks, 16 watches  
+[profiling](categories/profiling.md) category, created 2019-12-10, last commit 2023-03-04, main language Cython  
 
 
-### [kaggle-api](https://github.com/kaggle/kaggle-api) by [kaggle](https://github.com/kaggle)  
-kaggle-api: Official Kaggle API  
-[https://github.com/kaggle/kaggle-api](https://github.com/kaggle/kaggle-api)  
-19 stars per week over 253 weeks  
-5,054 stars, 979 forks, 188 watches  
-[data](categories/data.md) category, created 2018-01-25, last commit 2021-03-15, main language Python  
+### [full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql) by [tiangolo](https://github.com/tiangolo)  
+full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.  
+[https://github.com/tiangolo/full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql)  
+53 stars per week over 210 weeks  
+11,263 stars, 2,054 forks, 187 watches  
+[template](categories/template.md) category, created 2019-02-23, last commit 2020-06-05, main language Python  
+<sub><sup>backend, celery, cookiecutter, docker, fastapi, frontend, json, json-schema, jwt, letsencrypt, openapi, openapi3, pgadmin, postgresql, python, python3, swagger, traefik, vue, vuex</sup></sub>
 
 
-### [wandb](https://github.com/wandb/client)  
-wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.  
-[https://wandb.ai](https://wandb.ai)  
-[https://github.com/wandb/client](https://github.com/wandb/client)  
-16 stars per week over 297 weeks  
-5,051 stars, 385 forks, 39 watches  
-[ml](categories/ml.md) category, created 2017-03-24, last commit 2022-12-07, main language Python  
-<sub><sup>collaboration, data-science, data-versioning, deep-learning, experiment-track, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, keras, machine-learning, ml-platform, mlops, model-versioning, pytorch, reinforcement-learning, reproducibility, tensorflow</sup></sub>
+### [pip-audit](https://github.com/trailofbits/pip-audit) by [trailofbits](https://github.com/trailofbits)  
+pip-audit: Audits Python environments and dependency trees for known vulnerabilities  
+[https://pypi.org/project/pip-audit/](https://pypi.org/project/pip-audit/)  
+[https://github.com/trailofbits/pip-audit](https://github.com/trailofbits/pip-audit)  
+9.66 stars per week over 78 weeks  
+758 stars, 49 forks, 20 watches  
+[security](categories/security.md) category, created 2021-09-02, last commit 2023-02-24, main language Python  
+<sub><sup>pip, python, security, security-audit, supply-chain</sup></sub>
 
 
-### [sphinx](https://github.com/sphinx-doc/sphinx) by [sphinx-doc](https://github.com/sphinx-doc)  
-sphinx: The Sphinx documentation generator  
-[https://www.sphinx-doc.org/](https://www.sphinx-doc.org/)  
-[https://github.com/sphinx-doc/sphinx](https://github.com/sphinx-doc/sphinx)  
-12 stars per week over 413 weeks  
-5,031 stars, 1,801 forks, 140 watches  
-[util](categories/util.md) category, created 2015-01-02, last commit 2022-11-30, main language Python  
-<sub><sup>documentation, documentation-tool, markdown, python, restructuredtext, sphinx</sup></sub>
+### [PlotNeuralNet](https://github.com/harisiqbal88/plotneuralnet) by [harisiqbal88](https://github.com/harisiqbal88)  
+PlotNeuralNet: Latex code for making neural networks diagrams  
+[https://github.com/harisiqbal88/plotneuralnet](https://github.com/harisiqbal88/plotneuralnet)  
+78 stars per week over 240 weeks  
+18,929 stars, 2,579 forks, 223 watches  
+[ml](categories/ml.md) category, created 2018-07-24, last commit 2020-11-06, main language TeX  
+<sub><sup>deep-neural-networks, latex</sup></sub>
 
 
-### [papermill](https://github.com/nteract/papermill) by [nteract](https://github.com/nteract)  
-papermill: 📚 Parameterize, execute, and analyze notebooks  
-[http://papermill.readthedocs.io/en/latest/](http://papermill.readthedocs.io/en/latest/)  
-[https://github.com/nteract/papermill](https://github.com/nteract/papermill)  
-17 stars per week over 282 weeks  
-5,021 stars, 378 forks, 91 watches  
-[jupyter](categories/jupyter.md) category, created 2017-07-06, last commit 2022-10-18, main language Python  
-<sub><sup>julia, jupyter, notebook, notebook-generator, notebooks, nteract, pipeline, publishing, python, r, scala</sup></sub>
+### [satpy](https://github.com/pytroll/satpy) by [pytroll](https://github.com/pytroll)  
+satpy: Python package for earth-observing satellite data processing  
+[http://satpy.readthedocs.org/en/latest/](http://satpy.readthedocs.org/en/latest/)  
+[https://github.com/pytroll/satpy](https://github.com/pytroll/satpy)  
+2.43 stars per week over 368 weeks  
+897 stars, 261 forks, 31 watches  
+[gis](categories/gis.md) category, created 2016-02-09, last commit 2023-02-21, main language Python  
+<sub><sup>closember, dask, hacktoberfest, python, satellite, weather, xarray</sup></sub>
 
 
-### [trio](https://github.com/python-trio/trio) by [python-trio](https://github.com/python-trio)  
-Trio – a friendly Python library for async concurrency and I/O  
-[https://trio.readthedocs.io](https://trio.readthedocs.io)  
-[https://github.com/python-trio/trio](https://github.com/python-trio/trio)  
-16 stars per week over 307 weeks  
-5,010 stars, 290 forks, 87 watches  
-[perf](categories/perf.md) category, created 2017-01-16, last commit 2022-12-05, main language Python  
-<sub><sup>async, async-await, io, networking, python, structured-concurrency, trio</sup></sub>
+### [flake8](https://github.com/pycqa/flake8) by [pycqa](https://github.com/pycqa)  
+flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.  
+[https://flake8.pycqa.org](https://flake8.pycqa.org)  
+[https://github.com/pycqa/flake8](https://github.com/pycqa/flake8)  
+6.03 stars per week over 442 weeks  
+2,665 stars, 274 forks, 34 watches  
+[util](categories/util.md) category, created 2014-09-13, last commit 2023-02-21, main language Python  
+<sub><sup>complexity-analysis, flake8, linter, linter-flake8, pep8, python, python3, static-analysis, static-code-analysis, style-guide, styleguide, stylelint</sup></sub>
 
 
-### [handcalcs](https://github.com/connorferster/handcalcs) by [connorferster](https://github.com/connorferster)  
-handcalcs: Python library for converting Python calculations into rendered latex.  
-[https://github.com/connorferster/handcalcs](https://github.com/connorferster/handcalcs)  
-34 stars per week over 146 weeks  
-4,975 stars, 391 forks, 76 watches  
-[jupyter](categories/jupyter.md) category, created 2020-02-19, last commit 2022-09-28, main language CSS  
+### [geopandas](https://github.com/geopandas/geopandas)  
+geopandas: Python tools for geographic data  
+[http://geopandas.org/](http://geopandas.org/)  
+[https://github.com/geopandas/geopandas](https://github.com/geopandas/geopandas)  
+7.06 stars per week over 505 weeks  
+3,568 stars, 794 forks, 106 watches  
+[gis](categories/gis.md) category, created 2013-06-27, last commit 2023-03-04, main language Python  
 
 
-### [speechbrain](https://github.com/speechbrain/speechbrain)  
-speechbrain: A PyTorch-based Speech Toolkit  
-[http://speechbrain.github.io](http://speechbrain.github.io)  
-[https://github.com/speechbrain/speechbrain](https://github.com/speechbrain/speechbrain)  
-36 stars per week over 136 weeks  
-4,960 stars, 957 forks, 109 watches  
-[nlp](categories/nlp.md) category, created 2020-04-28, last commit 2022-12-04, main language Python  
-<sub><sup>asr, audio, audio-processing, deep-learning, huggingface, language-model, pytorch, speaker-diarization, speaker-recognition, speaker-verification, speech-enhancement, speech-processing, speech-recognition, speech-separation, speech-to-text, speech-toolkit, speechrecognition, spoken-language-understanding, transformers, voice-recognition</sup></sub>
+### [explainerdashboard](https://github.com/oegedijk/explainerdashboard) by [oegedijk](https://github.com/oegedijk)  
+explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.  
+[http://explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io)  
+[https://github.com/oegedijk/explainerdashboard](https://github.com/oegedijk/explainerdashboard)  
+9.1 stars per week over 174 weeks  
+1,588 stars, 208 forks, 18 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2019-10-30, last commit 2023-02-18, main language Python  
+<sub><sup>dash, dashboard, data-scientists, explainer, inner-workings, interactive-dashboards, interactive-plots, model-predictions, permutation-importances, plotly, shap, shap-values, xai, xai-library</sup></sub>
 
 
-### [PyPDF2](https://github.com/py-pdf/pypdf2) by [py-pdf](https://github.com/py-pdf)  
-PyPDF2: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files  
-[https://pypdf2.readthedocs.io/en/latest/](https://pypdf2.readthedocs.io/en/latest/)  
-[https://github.com/py-pdf/pypdf2](https://github.com/py-pdf/pypdf2)  
-8.68 stars per week over 569 weeks  
-4,943 stars, 1,135 forks, 139 watches  
-[util](categories/util.md) category, created 2012-01-06, last commit 2022-12-04, main language Python  
-<sub><sup>help-wanted, pdf, pdf-documents, pdf-manipulation, pdf-parser, pdf-parsing, pypdf2, python</sup></sub>
+### [flask-restx](https://github.com/python-restx/flask-restx) by [python-restx](https://github.com/python-restx)  
+flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask  
+[https://flask-restx.readthedocs.io/en/latest/](https://flask-restx.readthedocs.io/en/latest/)  
+[https://github.com/python-restx/flask-restx](https://github.com/python-restx/flask-restx)  
+10 stars per week over 164 weeks  
+1,762 stars, 294 forks, 70 watches  
+[web](categories/web.md) category, created 2020-01-09, last commit 2023-03-04, main language Python  
+<sub><sup>api, flask, json, python, rest, restful, restplus, restx, swagger</sup></sub>
 
 
-### [pyinstrument](https://github.com/joerick/pyinstrument) by [joerick](https://github.com/joerick)  
-pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!  
-[https://pyinstrument.readthedocs.io/](https://pyinstrument.readthedocs.io/)  
-[https://github.com/joerick/pyinstrument](https://github.com/joerick/pyinstrument)  
-10 stars per week over 455 weeks  
-4,934 stars, 218 forks, 52 watches  
-[profiling](categories/profiling.md) category, created 2014-03-13, last commit 2022-12-05, main language Python  
-<sub><sup>async, django, performance, profile, profiler, python</sup></sub>
+### [lightseq](https://github.com/bytedance/lightseq) by [bytedance](https://github.com/bytedance)  
+LightSeq: A High Performance Library for Sequence Processing and Generation  
+[https://github.com/bytedance/lightseq](https://github.com/bytedance/lightseq)  
+15 stars per week over 169 weeks  
+2,602 stars, 297 forks, 53 watches  
+[nlp](categories/nlp.md) category, created 2019-12-06, last commit 2023-03-03, main language C++  
+<sub><sup>accelerate, bart, beam-search, bert, cuda, diverse-decoding, gpt, inference, multilingual-nmt, sampling, training, transformer</sup></sub>
 
 
-### [Tkinter-Designer](https://github.com/parthjadhav/tkinter-designer) by [parthjadhav](https://github.com/parthjadhav)  
-Tkinter-Designer: An easy and fast way to create a Python GUI 🐍  
-[https://github.com/parthjadhav/tkinter-designer](https://github.com/parthjadhav/tkinter-designer)  
-60 stars per week over 81 weeks  
-4,889 stars, 461 forks, 51 watches  
-[util](categories/util.md) category, created 2021-05-18, last commit 2022-12-02, main language Python  
-<sub><sup>automatic, collaborate, drag-and-drop, easy, easy-to-use, fast, figma, gui, gui-application, hacktoberfest, learn, python, python-script, python3, tkinter, tkinter-designer, tkinter-graphic-interface, tkinter-gui, tkinter-python, tkinter-widgets</sup></sub>
+### [causalml](https://github.com/uber/causalml) by [uber](https://github.com/uber)  
+causalml: Uplift modeling and causal inference with machine learning algorithms  
+[https://github.com/uber/causalml](https://github.com/uber/causalml)  
+20 stars per week over 190 weeks  
+3,819 stars, 613 forks, 78 watches  
+[ml](categories/ml.md) category, created 2019-07-09, last commit 2023-02-03, main language Python  
+<sub><sup>causal-inference, incubation, machine-learning, uplift-modeling</sup></sub>
 
 
-### [mmsegmentation](https://github.com/open-mmlab/mmsegmentation) by [open-mmlab](https://github.com/open-mmlab)  
-mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.  
-[https://mmsegmentation.readthedocs.io/en/latest/](https://mmsegmentation.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation)  
-37 stars per week over 129 weeks  
-4,880 stars, 1,803 forks, 50 watches  
-[ml](categories/ml.md) category, created 2020-06-14, last commit 2022-12-01, main language Python  
-<sub><sup>deeplabv3, image-segmentation, medical-image-segmentation, pspnet, pytorch, realtime-segmentation, retinal-vessel-segmentation, semantic-segmentation, swin-transformer, transformer, vessel-segmentation</sup></sub>
+### [python-dotenv](https://github.com/theskumar/python-dotenv) by [theskumar](https://github.com/theskumar)  
+python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.  
+[https://saurabh-kumar.com/python-dotenv/](https://saurabh-kumar.com/python-dotenv/)  
+[https://github.com/theskumar/python-dotenv](https://github.com/theskumar/python-dotenv)  
+12 stars per week over 443 weeks  
+5,716 stars, 358 forks, 33 watches  
+[util](categories/util.md) category, created 2014-09-06, last commit 2023-02-24, main language Python  
+<sub><sup>12-factor-app, configuration, devops-tools, dotenv, env, environment-variables, python</sup></sub>
 
 
-### [skorch](https://github.com/skorch-dev/skorch) by [skorch-dev](https://github.com/skorch-dev)  
-skorch: A scikit-learn compatible neural network library that wraps PyTorch  
-[https://github.com/skorch-dev/skorch](https://github.com/skorch-dev/skorch)  
-17 stars per week over 281 weeks  
-4,879 stars, 328 forks, 80 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-07-18, last commit 2022-11-29, main language Jupyter Notebook  
-<sub><sup>hacktoberfest, machine-learning, pytorch, scikit-learn</sup></sub>
+### [gpt-2](https://github.com/openai/gpt-2) by [openai](https://github.com/openai)  
+gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"  
+[https://openai.com/blog/better-language-models/](https://openai.com/blog/better-language-models/)  
+[https://github.com/openai/gpt-2](https://github.com/openai/gpt-2)  
+82 stars per week over 211 weeks  
+17,453 stars, 4,391 forks, 601 watches  
+[nlp](categories/nlp.md) category, created 2019-02-11, last commit 2020-12-02, main language Python  
+<sub><sup>paper</sup></sub>
 
 
-### [Augmentor](https://github.com/mdbloice/augmentor) by [mdbloice](https://github.com/mdbloice)  
-Augmentor: Image augmentation library in Python for machine learning.  
-[https://augmentor.readthedocs.io/en/stable](https://augmentor.readthedocs.io/en/stable)  
-[https://github.com/mdbloice/augmentor](https://github.com/mdbloice/augmentor)  
-13 stars per week over 353 weeks  
-4,833 stars, 850 forks, 123 watches  
-[ml](categories/ml.md) category, created 2016-03-01, last commit 2022-09-23, main language Python  
-<sub><sup>augmentation, deep-learning, machine-learning, neural-networks</sup></sub>
+### [distributed](https://github.com/dask/distributed) by [dask](https://github.com/dask)  
+distributed: A distributed task scheduler for Dask  
+[https://distributed.dask.org](https://distributed.dask.org)  
+[https://github.com/dask/distributed](https://github.com/dask/distributed)  
+3.7 stars per week over 390 weeks  
+1,444 stars, 677 forks, 58 watches  
+[perf](categories/perf.md) category, created 2015-09-13, last commit 2023-03-04, main language Python  
+<sub><sup>dask, distributed-computing, hacktoberfest, pydata, python</sup></sub>
 
 
-### [textgenrnn](https://github.com/minimaxir/textgenrnn) by [minimaxir](https://github.com/minimaxir)  
-textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.  
-[https://github.com/minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)  
-17 stars per week over 278 weeks  
-4,817 stars, 752 forks, 138 watches  
-[nlp](categories/nlp.md) category, created 2017-08-07, last commit 2020-07-14, main language Python  
-<sub><sup>deep-learning, keras, python, tensorflow, text-generation</sup></sub>
+### [ta-lib-python](https://github.com/ta-lib/ta-lib-python) by [ta-lib](https://github.com/ta-lib)  
+ta-lib-python: Python wrapper for TA-Lib (http://ta-lib.org/).  
+[http://ta-lib.github.io/ta-lib-python](http://ta-lib.github.io/ta-lib-python)  
+[https://github.com/ta-lib/ta-lib-python](https://github.com/ta-lib/ta-lib-python)  
+13 stars per week over 571 weeks  
+7,519 stars, 1,472 forks, 319 watches  
+[finance](categories/finance.md) category, created 2012-03-23, last commit 2023-02-28, main language Cython  
+<sub><sup>finance, pattern-recognition, python, quantitative-finance, ta-lib, technical-analysis</sup></sub>
 
 
-### [deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch) by [udacity](https://github.com/udacity)  
-deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101  
-[https://github.com/udacity/deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)  
-21 stars per week over 222 weeks  
-4,781 stars, 5,167 forks, 172 watches  
-[study](categories/study.md) category, created 2018-09-04, last commit 2022-10-03, main language Jupyter Notebook  
-<sub><sup>convolutional-networks, deep-learning, neural-network, pytorch, recurrent-networks, sentiment-analysis, style-transfer</sup></sub>
+### [apscheduler](https://github.com/agronholm/apscheduler) by [agronholm](https://github.com/agronholm)  
+apscheduler: Task scheduling library for Python  
+[https://github.com/agronholm/apscheduler](https://github.com/agronholm/apscheduler)  
+13 stars per week over 362 weeks  
+4,869 stars, 618 forks, 122 watches  
+[util](categories/util.md) category, created 2016-03-27, last commit 2023-02-07, main language Python  
 
 
-### [autoscraper](https://github.com/alirezamika/autoscraper) by [alirezamika](https://github.com/alirezamika)  
-autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python  
-[https://github.com/alirezamika/autoscraper](https://github.com/alirezamika/autoscraper)  
-40 stars per week over 118 weeks  
-4,756 stars, 510 forks, 124 watches  
-[data](categories/data.md) category, created 2020-08-31, last commit 2022-07-17, main language Python  
-<sub><sup>ai, artificial-intelligence, automation, crawler, machine-learning, python, scrape, scraper, scraping, web-scraping, webautomation, webscraping</sup></sub>
+### [brax](https://github.com/google/brax) by [google](https://github.com/google)  
+brax: Massively parallel rigidbody physics simulation on accelerator hardware.  
+[https://github.com/google/brax](https://github.com/google/brax)  
+16 stars per week over 91 weeks  
+1,552 stars, 162 forks, 37 watches  
+[sim](categories/sim.md) category, created 2021-06-02, last commit 2023-02-09, main language Jupyter Notebook  
+<sub><sup>jax, physics-simulation, reinforcement-learning, robotics</sup></sub>
 
 
-### [pycodestyle](https://github.com/pycqa/pycodestyle) by [pycqa](https://github.com/pycqa)  
-pycodestyle: Simple Python style checker in one Python file  
-[https://pycodestyle.pycqa.org](https://pycodestyle.pycqa.org)  
-[https://github.com/pycqa/pycodestyle](https://github.com/pycqa/pycodestyle)  
-6.88 stars per week over 687 weeks  
-4,730 stars, 683 forks, 119 watches  
-[util](categories/util.md) category, created 2009-10-02, last commit 2022-12-06, main language Python  
-<sub><sup>flake8-plugin, linter-flake8, linter-plugin, pep8, python, style-guide, styleguide</sup></sub>
+### [finetuner](https://github.com/jina-ai/finetuner) by [jina-ai](https://github.com/jina-ai)  
+finetuner: :dart: Task-oriented finetuning for better embeddings on neural search  
+[https://finetuner.jina.ai](https://finetuner.jina.ai)  
+[https://github.com/jina-ai/finetuner](https://github.com/jina-ai/finetuner)  
+11 stars per week over 81 weeks  
+954 stars, 48 forks, 24 watches  
+[ml](categories/ml.md) category, created 2021-08-11, last commit 2023-03-02, main language Python  
+<sub><sup>few-shot-learning, fine-tuning, finetuning, jina, metric-learning, negative-sampling, neural-search, pretrained-models, siamese-network, similarity-learning, transfer-learning, triplet-loss</sup></sub>
 
 
-### [bandit](https://github.com/pycqa/bandit) by [pycqa](https://github.com/pycqa)  
-Bandit is a tool designed to find common security issues in Python code.  
-[https://bandit.readthedocs.io](https://bandit.readthedocs.io)  
-[https://github.com/pycqa/bandit](https://github.com/pycqa/bandit)  
-19 stars per week over 240 weeks  
-4,722 stars, 493 forks, 59 watches  
-[security](categories/security.md) category, created 2018-04-26, last commit 2022-10-28, main language Python  
-<sub><sup>bandit, linter, python, security, security-scanner, security-tools, static-code-analysis</sup></sub>
+### [vizier](https://github.com/google/vizier) by [google](https://github.com/google)  
+vizier: Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.  
+[https://oss-vizier.readthedocs.io](https://oss-vizier.readthedocs.io)  
+[https://github.com/google/vizier](https://github.com/google/vizier)  
+17 stars per week over 54 weeks  
+967 stars, 45 forks, 20 watches  
+[ml](categories/ml.md) category, created 2022-02-16, last commit 2023-03-01, main language Python  
+<sub><sup>algorithm, bayesian-optimization, blackbox-optimization, deep-learning, distributed-computing, distributed-systems, evolutionary-algorithms, google, grpc, hyperparameter-optimization, hyperparameter-tuning, machine-learning, open-source, optimization, tuning, tuning-parameters, vizier</sup></sub>
 
 
-### [pipreqs](https://github.com/bndr/pipreqs) by [bndr](https://github.com/bndr)  
-pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.  
-[https://github.com/bndr/pipreqs](https://github.com/bndr/pipreqs)  
-11 stars per week over 398 weeks  
-4,715 stars, 320 forks, 59 watches  
-[util](categories/util.md) category, created 2015-04-22, last commit 2022-12-02, main language Python  
+### [uvloop](https://github.com/magicstack/uvloop) by [magicstack](https://github.com/magicstack)  
+uvloop: Ultra fast asyncio event loop.  
+[https://github.com/magicstack/uvloop](https://github.com/magicstack/uvloop)  
+24 stars per week over 382 weeks  
+9,199 stars, 535 forks, 226 watches  
+[util](categories/util.md) category, created 2015-11-08, last commit 2023-01-15, main language Cython  
+<sub><sup>async, async-await, async-python, asyncio, event-loop, high-performance, libuv, networking, python, python-3</sup></sub>
 
 
-### [apscheduler](https://github.com/agronholm/apscheduler) by [agronholm](https://github.com/agronholm)  
-apscheduler: Task scheduling library for Python  
-[https://github.com/agronholm/apscheduler](https://github.com/agronholm/apscheduler)  
-13 stars per week over 349 weeks  
-4,695 stars, 603 forks, 125 watches  
-[util](categories/util.md) category, created 2016-03-27, last commit 2022-12-06, main language Python  
+### [addons](https://github.com/tensorflow/addons) by [tensorflow](https://github.com/tensorflow)  
+addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons  
+[https://github.com/tensorflow/addons](https://github.com/tensorflow/addons)  
+7.24 stars per week over 222 weeks  
+1,613 stars, 599 forks, 58 watches  
+[ml](categories/ml.md) category, created 2018-11-26, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, machine-learning, neural-network, python, tensorflow, tensorflow-addons</sup></sub>
 
 
-### [transitions](https://github.com/pytransitions/transitions) by [pytransitions](https://github.com/pytransitions)  
-transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions  
-[https://github.com/pytransitions/transitions](https://github.com/pytransitions/transitions)  
-10 stars per week over 425 weeks  
-4,676 stars, 511 forks, 94 watches  
-[util](categories/util.md) category, created 2014-10-12, last commit 2022-11-08, main language Python  
-<sub><sup>hierarchical-state-machine, nested-states, python, state-diagram, state-machine</sup></sub>
+### [csvkit](https://github.com/wireservice/csvkit) by [wireservice](https://github.com/wireservice)  
+csvkit: A suite of utilities for converting to and working with CSV, the king of tabular file formats.  
+[http://csvkit.rtfd.org/](http://csvkit.rtfd.org/)  
+[https://github.com/wireservice/csvkit](https://github.com/wireservice/csvkit)  
+8.66 stars per week over 622 weeks  
+5,388 stars, 583 forks, 132 watches  
+[util](categories/util.md) category, created 2011-04-01, last commit 2023-02-22, main language Python  
 
 
-### [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) by [kingoflolz](https://github.com/kingoflolz)  
-mesh-transformer-jax: Model parallel transformers in JAX and Haiku  
-[https://github.com/kingoflolz/mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax)  
-51 stars per week over 90 weeks  
-4,626 stars, 651 forks, 74 watches  
-[nlp](categories/nlp.md) category, created 2021-03-13, last commit 2022-01-28, main language Python  
+### [blankly](https://github.com/blankly-finance/blankly) by [blankly-finance](https://github.com/blankly-finance)  
+blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.  
+[https://package.blankly.finance](https://package.blankly.finance)  
+[https://github.com/blankly-finance/blankly](https://github.com/blankly-finance/blankly)  
+14 stars per week over 103 weeks  
+1,474 stars, 194 forks, 28 watches  
+[finance](categories/finance.md) category, created 2021-03-09, last commit 2023-02-02, main language Python  
+<sub><sup>algotrading, binance, blankly, bot, bot-framework, bots, coinbase, crypto, cryptocurrency, framework, investment, platform, python, stocks, trading, trading-bot, trading-strategies</sup></sub>
 
 
-### [AugLy](https://github.com/facebookresearch/augly) by [facebookresearch](https://github.com/facebookresearch)  
-AugLy: A data augmentations library for audio, image, text, and video.  
-[https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/](https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/)  
-[https://github.com/facebookresearch/augly](https://github.com/facebookresearch/augly)  
-59 stars per week over 78 weeks  
-4,618 stars, 265 forks, 61 watches  
-[data](categories/data.md) category, created 2021-06-09, last commit 2022-12-05, main language Python  
+### [ReAgent](https://github.com/facebookresearch/reagent) by [facebookresearch](https://github.com/facebookresearch)  
+ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)  
+[https://reagent.ai](https://reagent.ai)  
+[https://github.com/facebookresearch/reagent](https://github.com/facebookresearch/reagent)  
+11 stars per week over 292 weeks  
+3,352 stars, 508 forks, 150 watches  
+[ml](categories/ml.md) category, created 2017-07-27, last commit 2023-02-28, main language Python  
 
 
-### [mmcv](https://github.com/open-mmlab/mmcv) by [open-mmlab](https://github.com/open-mmlab)  
-mmcv: OpenMMLab Computer Vision Foundation  
-[https://mmcv.readthedocs.io/en/latest/](https://mmcv.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmcv](https://github.com/open-mmlab/mmcv)  
-20 stars per week over 224 weeks  
-4,560 stars, 1,308 forks, 83 watches  
-[ml](categories/ml.md) category, created 2018-08-22, last commit 2022-12-07, main language Python  
+### [zipline](https://github.com/quantopian/zipline) by [quantopian](https://github.com/quantopian)  
+Zipline, a Pythonic Algorithmic Trading Library  
+[https://www.zipline.io](https://www.zipline.io)  
+[https://github.com/quantopian/zipline](https://github.com/quantopian/zipline)  
+29 stars per week over 541 weeks  
+15,851 stars, 4,541 forks, 1,008 watches  
+[finance](categories/finance.md) category, created 2012-10-19, last commit 2020-10-14, main language Python  
+<sub><sup>algorithmic-trading, python, quant, zipline</sup></sub>
 
 
-### [attrs](https://github.com/python-attrs/attrs) by [python-attrs](https://github.com/python-attrs)  
-attrs: Python Classes Without Boilerplate  
-[https://www.attrs.org/](https://www.attrs.org/)  
-[https://github.com/python-attrs/attrs](https://github.com/python-attrs/attrs)  
-11 stars per week over 410 weeks  
-4,537 stars, 319 forks, 57 watches  
-[typing](categories/typing.md) category, created 2015-01-27, last commit 2022-12-07, main language Python  
-<sub><sup>attributes, boilerplate, classes, oop, python, srp</sup></sub>
+### [deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks) by [fchollet](https://github.com/fchollet)  
+deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"  
+[https://github.com/fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)  
+57 stars per week over 286 weeks  
+16,498 stars, 8,043 forks, 642 watches  
+[study](categories/study.md) category, created 2017-09-05, last commit 2023-02-13, main language Jupyter Notebook  
 
 
-### [Dreambooth-Stable-Diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion) by [xavierxiao](https://github.com/xavierxiao)  
-Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion  
-[https://github.com/xavierxiao/dreambooth-stable-diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion)  
-343 stars per week over 13 weeks  
-4,516 stars, 494 forks, 70 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2022-09-21, main language Jupyter Notebook  
-<sub><sup>pytorch, pytorch-lightning, stable-diffusion, text-to-image</sup></sub>
+### [TensorLayer](https://github.com/tensorlayer/tensorlayer) by [tensorlayer](https://github.com/tensorlayer)  
+TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers   
+[http://tensorlayerx.com](http://tensorlayerx.com)  
+[https://github.com/tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)  
+20 stars per week over 351 weeks  
+7,154 stars, 1,617 forks, 466 watches  
+[ml-dl](categories/ml-dl.md) category, created 2016-06-07, last commit 2023-02-18, main language Python  
+<sub><sup>a3c, artificial-intelligence, chatbot, deep-learning, dqn, gan, google, imagenet, neural-network, object-detection, python, reinforcement-learning, tensorflow, tensorflow-tutorial, tensorflow-tutorials, tensorlayer</sup></sub>
 
 
-### [awslogs](https://github.com/jorgebastida/awslogs) by [jorgebastida](https://github.com/jorgebastida)  
-awslogs: AWS CloudWatch logs for Humans™  
-[https://github.com/jorgebastida/awslogs](https://github.com/jorgebastida/awslogs)  
-10 stars per week over 411 weeks  
-4,498 stars, 325 forks, 61 watches  
-[util](categories/util.md) category, created 2015-01-21, last commit 2020-07-10, main language Python  
+### [Transformers-Tutorials](https://github.com/nielsrogge/transformers-tutorials) by [nielsrogge](https://github.com/nielsrogge)  
+Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.  
+[https://github.com/nielsrogge/transformers-tutorials](https://github.com/nielsrogge/transformers-tutorials)  
+29 stars per week over 130 weeks  
+3,834 stars, 607 forks, 86 watches  
+[study](categories/study.md) category, created 2020-08-31, last commit 2023-02-28, main language Jupyter Notebook  
+<sub><sup>bert, gpt-2, layoutlm, pytorch, transformers, vision-transformer</sup></sub>
 
 
-### [voila](https://github.com/voila-dashboards/voila) by [voila-dashboards](https://github.com/voila-dashboards)  
-voila: Voilà turns Jupyter notebooks into standalone web applications  
-[https://voila.readthedocs.io](https://voila.readthedocs.io)  
-[https://github.com/voila-dashboards/voila](https://github.com/voila-dashboards/voila)  
-19 stars per week over 224 weeks  
-4,472 stars, 448 forks, 77 watches  
-[jupyter](categories/jupyter.md) category, created 2018-08-21, last commit 2022-11-30, main language Python  
-<sub><sup>dashboarding, jupyter, jupyter-notebook, jupyterlab-extension</sup></sub>
+### [dm-haiku](https://github.com/deepmind/dm-haiku) by [deepmind](https://github.com/deepmind)  
+dm-haiku: JAX-based neural network library  
+[https://dm-haiku.readthedocs.io](https://dm-haiku.readthedocs.io)  
+[https://github.com/deepmind/dm-haiku](https://github.com/deepmind/dm-haiku)  
+15 stars per week over 158 weeks  
+2,385 stars, 199 forks, 39 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-02-18, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, deep-neural-networks, jax, machine-learning, neural-networks</sup></sub>
 
 
-### [PyOxidizer](https://github.com/indygreg/pyoxidizer) by [indygreg](https://github.com/indygreg)  
-PyOxidizer: A modern Python application packaging and distribution tool  
-[https://github.com/indygreg/pyoxidizer](https://github.com/indygreg/pyoxidizer)  
-21 stars per week over 207 weeks  
-4,406 stars, 190 forks, 59 watches  
-[util](categories/util.md) category, created 2018-12-18, last commit 2022-11-20, main language Rust  
+### [lovely-tensors](https://github.com/xl0/lovely-tensors) by [xl0](https://github.com/xl0)  
+lovely-tensors: Tensors, ready for human consumption  
+[https://xl0.github.io/lovely-tensors](https://xl0.github.io/lovely-tensors)  
+[https://github.com/xl0/lovely-tensors](https://github.com/xl0/lovely-tensors)  
+43 stars per week over 21 weeks  
+923 stars, 14 forks, 8 watches  
+[util](categories/util.md) category, created 2022-10-07, last commit 2023-01-27, main language Jupyter Notebook  
+<sub><sup>deep-learning, library, pytorch, statistics, visualization</sup></sub>
 
 
-### [pylint](https://github.com/pycqa/pylint) by [pycqa](https://github.com/pycqa)  
-pylint: It's not just a linter that annoys you!  
-[http://pylint.pycqa.org](http://pylint.pycqa.org)  
-[https://github.com/pycqa/pylint](https://github.com/pycqa/pylint)  
-11 stars per week over 365 weeks  
-4,371 stars, 942 forks, 72 watches  
-[util](categories/util.md) category, created 2015-12-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, code-quality, hacktoberfest, linter, pep8, static-analysis, static-code-analysis</sup></sub>
+### [terminal-copilot](https://github.com/methexis-inc/terminal-copilot) by [methexis-inc](https://github.com/methexis-inc)  
+terminal-copilot: A smart terminal assistant that helps you find the right command.  
+[https://github.com/methexis-inc/terminal-copilot](https://github.com/methexis-inc/terminal-copilot)  
+37 stars per week over 12 weeks  
+448 stars, 25 forks, 6 watches  
+[util](categories/util.md) category, created 2022-12-11, last commit 2023-01-25, main language Python  
 
 
-### [deep-daze](https://github.com/lucidrains/deep-daze) by [lucidrains](https://github.com/lucidrains)  
-deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun  
-[https://github.com/lucidrains/deep-daze](https://github.com/lucidrains/deep-daze)  
-44 stars per week over 98 weeks  
-4,365 stars, 326 forks, 76 watches  
-[ml](categories/ml.md) category, created 2021-01-17, last commit 2022-03-13, main language Python  
-<sub><sup>artificial-intelligence, deep-learning, implicit-neural-representation, multi-modality, siren, text-to-image, transformers</sup></sub>
+### [pydata-book](https://github.com/wesm/pydata-book) by [wesm](https://github.com/wesm)  
+pydata-book: Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media  
+[https://github.com/wesm/pydata-book](https://github.com/wesm/pydata-book)  
+34 stars per week over 557 weeks  
+18,959 stars, 14,016 forks, 1,470 watches  
+[study](categories/study.md) category, created 2012-06-30, last commit 2022-11-03, main language Jupyter Notebook  
 
 
-### [lux](https://github.com/lux-org/lux) by [lux-org](https://github.com/lux-org)  
-lux: Automatically visualize your pandas dataframe via a single print! 📊 💡  
-[https://github.com/lux-org/lux](https://github.com/lux-org/lux)  
-28 stars per week over 152 weeks  
-4,317 stars, 336 forks, 86 watches  
-[viz](categories/viz.md) category, created 2020-01-08, last commit 2022-05-21, main language Python  
-<sub><sup>data-science, exploratory-data-analysis, jupyter, pandas, python, visualization, visualization-tools</sup></sub>
+### [automl](https://github.com/google/automl) by [google](https://github.com/google)  
+automl: Google Brain AutoML  
+[https://github.com/google/automl](https://github.com/google/automl)  
+35 stars per week over 155 weeks  
+5,594 stars, 1,418 forks, 157 watches  
+[ml](categories/ml.md) category, created 2020-03-12, last commit 2023-02-15, main language Jupyter Notebook  
+<sub><sup>automl, efficientdet, efficientnet, efficientnetv2, object-detection</sup></sub>
 
 
-### [DrQA](https://github.com/facebookresearch/drqa) by [facebookresearch](https://github.com/facebookresearch)  
-DrQA: Reading Wikipedia to Answer Open-Domain Questions  
-[https://github.com/facebookresearch/drqa](https://github.com/facebookresearch/drqa)  
-15 stars per week over 282 weeks  
-4,313 stars, 899 forks, 165 watches  
-[nlp](categories/nlp.md) category, created 2017-07-07, last commit 2021-05-18, main language Python  
+### [pywebview](https://github.com/r0x0r/pywebview) by [r0x0r](https://github.com/r0x0r)  
+pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS  
+[https://pywebview.flowrl.com](https://pywebview.flowrl.com)  
+[https://github.com/r0x0r/pywebview](https://github.com/r0x0r/pywebview)  
+7.86 stars per week over 432 weeks  
+3,400 stars, 442 forks, 58 watches  
+[gui](categories/gui.md) category, created 2014-11-20, last commit 2023-02-28, main language Python  
+<sub><sup>cef, cocoa, gtk, gui, html, javascript, linux, osx, python, qt, webkit, windows</sup></sub>
 
 
-### [tenacity](https://github.com/jd/tenacity) by [jd](https://github.com/jd)  
-tenacity: Retrying library for Python  
-[http://tenacity.readthedocs.io](http://tenacity.readthedocs.io)  
-[https://github.com/jd/tenacity](https://github.com/jd/tenacity)  
-13 stars per week over 329 weeks  
-4,294 stars, 215 forks, 43 watches  
-[util](categories/util.md) category, created 2016-08-11, last commit 2022-09-21, main language Python  
-<sub><sup>failure, hacktoberfest, python, retry, retry-library</sup></sub>
+### [holoviews](https://github.com/holoviz/holoviews) by [holoviz](https://github.com/holoviz)  
+holoviews: With Holoviews, your data visualizes itself.  
+[https://holoviews.org](https://holoviews.org)  
+[https://github.com/holoviz/holoviews](https://github.com/holoviz/holoviews)  
+5.18 stars per week over 460 weeks  
+2,388 stars, 373 forks, 61 watches  
+[viz](categories/viz.md) category, created 2014-05-07, last commit 2023-03-03, main language Python  
+<sub><sup>holoviews, holoviz, plotting</sup></sub>
 
 
-### [cleanlab](https://github.com/cleanlab/cleanlab)  
-cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.  
-[https://cleanlab.ai](https://cleanlab.ai)  
-[https://github.com/cleanlab/cleanlab](https://github.com/cleanlab/cleanlab)  
-17 stars per week over 238 weeks  
-4,269 stars, 394 forks, 63 watches  
-[ml](categories/ml.md) category, created 2018-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>audio-classification, classification, confident-learning, data-centric-ai, data-centric-machine-learning, data-cleaning, data-quality, data-science, exploratory-data-analysis, image-classification, label-errors, learning-with-confident-examples, learning-with-noisy-labels, machine-learning, noisy-data, noisy-labels, robust-machine-learning, text-classification, weak-supervision</sup></sub>
+### [ormar](https://github.com/collerek/ormar) by [collerek](https://github.com/collerek)  
+ormar: python async orm with fastapi in mind and pydantic validation  
+[https://collerek.github.io/ormar/](https://collerek.github.io/ormar/)  
+[https://github.com/collerek/ormar](https://github.com/collerek/ormar)  
+9.36 stars per week over 135 weeks  
+1,264 stars, 62 forks, 15 watches  
+[data](categories/data.md) category, created 2020-08-02, last commit 2023-02-28, main language Python  
+<sub><sup>alembic, async-orm, databases, fastapi, orm, pydantic, python-orm, sqlalchemy</sup></sub>
 
 
 ### [tablib](https://github.com/jazzband/tablib) by [jazzband](https://github.com/jazzband)  
 tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.  
 [https://tablib.readthedocs.io/](https://tablib.readthedocs.io/)  
 [https://github.com/jazzband/tablib](https://github.com/jazzband/tablib)  
-6.88 stars per week over 610 weeks  
-4,197 stars, 568 forks, 141 watches  
-[data](categories/data.md) category, created 2011-03-28, last commit 2022-10-31, main language Python  
+6.8 stars per week over 622 weeks  
+4,233 stars, 573 forks, 141 watches  
+[data](categories/data.md) category, created 2011-03-28, last commit 2023-03-03, main language Python  
 
 
-### [mlxtend](https://github.com/rasbt/mlxtend) by [rasbt](https://github.com/rasbt)  
-mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.  
-[http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)  
-[https://github.com/rasbt/mlxtend](https://github.com/rasbt/mlxtend)  
-9.61 stars per week over 433 weeks  
-4,171 stars, 795 forks, 121 watches  
-[ml](categories/ml.md) category, created 2014-08-14, last commit 2022-12-03, main language Python  
-<sub><sup>association-rules, data-mining, data-science, machine-learning, python, supervised-learning, unsupervised-learning</sup></sub>
+### [tf-quant-finance](https://github.com/google/tf-quant-finance) by [google](https://github.com/google)  
+tf-quant-finance: High-performance TensorFlow library for quantitative finance.  
+[https://github.com/google/tf-quant-finance](https://github.com/google/tf-quant-finance)  
+19 stars per week over 188 weeks  
+3,655 stars, 490 forks, 169 watches  
+[finance](categories/finance.md) category, created 2019-07-24, last commit 2023-02-17, main language Python  
+<sub><sup>finance, gpu, gpu-computing, high-performance, high-performance-computing, numerical-integration, numerical-methods, numerical-optimization, python, quantitative-finance, quantlib, tensorflow</sup></sub>
 
 
-### [BasicSR](https://github.com/xpixelgroup/basicsr) by [xpixelgroup](https://github.com/xpixelgroup)  
-BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.  
-[https://basicsr.readthedocs.io/en/latest/](https://basicsr.readthedocs.io/en/latest/)  
-[https://github.com/xpixelgroup/basicsr](https://github.com/xpixelgroup/basicsr)  
-17 stars per week over 241 weeks  
-4,137 stars, 859 forks, 85 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-04-19, last commit 2022-11-06, main language Python  
-<sub><sup>basicsr, basicvsr, dfdnet, ecbsr, edsr, edvr, esrgan, pytorch, rcan, restoration, srgan, srresnet, stylegan2, super-resolution, swinir</sup></sub>
+### [theseus](https://github.com/facebookresearch/theseus) by [facebookresearch](https://github.com/facebookresearch)  
+theseus: A library for differentiable nonlinear optimization  
+[https://github.com/facebookresearch/theseus](https://github.com/facebookresearch/theseus)  
+18 stars per week over 67 weeks  
+1,226 stars, 85 forks, 29 watches  
+[math](categories/math.md) category, created 2021-11-18, last commit 2023-02-27, main language Python  
+<sub><sup>bilevel-optimization, computer-vision, deep-learning, differentiable-optimization, embodied-ai, gauss-newton, implicit-differentiation, levenberg-marquardt, nonlinear-least-squares, pytorch, robotics</sup></sub>
 
 
-### [ignite](https://github.com/pytorch/ignite) by [pytorch](https://github.com/pytorch)  
-ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.  
-[https://pytorch-ignite.ai](https://pytorch-ignite.ai)  
-[https://github.com/pytorch/ignite](https://github.com/pytorch/ignite)  
-15 stars per week over 262 weeks  
-4,136 stars, 562 forks, 59 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-11-23, last commit 2022-12-05, main language Python  
-<sub><sup>closember, deep-learning, hacktoberfest, machine-learning, metrics, neural-network, python, pytorch</sup></sub>
+### [arcade](https://github.com/pythonarcade/arcade) by [pythonarcade](https://github.com/pythonarcade)  
+arcade: Easy to use Python library for creating 2D arcade games.  
+[http://arcade.academy](http://arcade.academy)  
+[https://github.com/pythonarcade/arcade](https://github.com/pythonarcade/arcade)  
+3.76 stars per week over 373 weeks  
+1,404 stars, 264 forks, 57 watches  
+[gamedev](categories/gamedev.md) category, created 2016-01-04, last commit 2023-03-04, main language Python  
+<sub><sup>arcade-api, arcade-framework, arcade-learning-environment, educational-resources, educational-technology, opengl, python, python3</sup></sub>
+
+
+### [torchio](https://github.com/fepegar/torchio) by [fepegar](https://github.com/fepegar)  
+torchio: Medical imaging toolkit for deep learning  
+[http://www.torchio.org](http://www.torchio.org)  
+[https://github.com/fepegar/torchio](https://github.com/fepegar/torchio)  
+9.66 stars per week over 170 weeks  
+1,649 stars, 203 forks, 17 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-11-26, last commit 2023-03-01, main language Python  
+<sub><sup>augmentation, data-augmentation, deep-learning, machine-learning, medical-image-analysis, medical-image-computing, medical-image-processing, medical-images, medical-imaging-datasets, medical-imaging-with-deep-learning, python, pytorch</sup></sub>
 
 
-### [Kats](https://github.com/facebookresearch/kats) by [facebookresearch](https://github.com/facebookresearch)  
-Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.   
-[https://github.com/facebookresearch/kats](https://github.com/facebookresearch/kats)  
-44 stars per week over 92 weeks  
-4,107 stars, 430 forks, 70 watches  
-[time-series](categories/time-series.md) category, created 2021-02-25, last commit 2022-12-07, main language Python  
+### [pyinstrument](https://github.com/joerick/pyinstrument) by [joerick](https://github.com/joerick)  
+pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!  
+[https://pyinstrument.readthedocs.io/](https://pyinstrument.readthedocs.io/)  
+[https://github.com/joerick/pyinstrument](https://github.com/joerick/pyinstrument)  
+10 stars per week over 468 weeks  
+5,144 stars, 220 forks, 55 watches  
+[profiling](categories/profiling.md) category, created 2014-03-13, last commit 2022-12-27, main language Python  
+<sub><sup>async, django, performance, profile, profiler, python</sup></sub>
 
 
-### [toolz](https://github.com/pytoolz/toolz) by [pytoolz](https://github.com/pytoolz)  
-toolz: A functional standard library for Python.  
-[http://toolz.readthedocs.org/](http://toolz.readthedocs.org/)  
-[https://github.com/pytoolz/toolz](https://github.com/pytoolz/toolz)  
-8.5 stars per week over 481 weeks  
-4,094 stars, 243 forks, 82 watches  
-[util](categories/util.md) category, created 2013-09-13, last commit 2022-11-03, main language Python  
+### [rasterio](https://github.com/rasterio/rasterio)  
+Rasterio reads and writes geospatial raster datasets  
+[https://rasterio.readthedocs.io/](https://rasterio.readthedocs.io/)  
+[https://github.com/rasterio/rasterio](https://github.com/rasterio/rasterio)  
+3.88 stars per week over 486 weeks  
+1,889 stars, 508 forks, 151 watches  
+[gis](categories/gis.md) category, created 2013-11-04, last commit 2023-02-27, main language Python  
+<sub><sup>cli, cython, gdal, gis, mapbox-satellite-oss, python, raster</sup></sub>
 
 
-### [pytype](https://github.com/google/pytype) by [google](https://github.com/google)  
-pytype: A static type analyzer for Python code  
-[https://google.github.io/pytype](https://google.github.io/pytype)  
-[https://github.com/google/pytype](https://github.com/google/pytype)  
-9.94 stars per week over 403 weeks  
-4,006 stars, 259 forks, 55 watches  
-[typing](categories/typing.md) category, created 2015-03-18, last commit 2022-12-06, main language Python  
-<sub><sup>linter, python, static-analysis, static-code-analysis, typechecker, types, typing</sup></sub>
+### [flower](https://github.com/adap/flower) by [adap](https://github.com/adap)  
+Flower: A Friendly Federated Learning Framework  
+[https://flower.dev](https://flower.dev)  
+[https://github.com/adap/flower](https://github.com/adap/flower)  
+12 stars per week over 158 weeks  
+2,061 stars, 449 forks, 23 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-02-17, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, federated-analytics, federated-learning, federated-learning-framework, fleet-intelligence, fleet-learning, flower, keras-federated-learning, machine-learning, pytorch, pytorch-federated-learning, scikit-learn, tensorflow, tensorflow-federated-learning</sup></sub>
 
 
-### [osmnx](https://github.com/gboeing/osmnx) by [gboeing](https://github.com/gboeing)  
-OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.  
-[https://geoffboeing.com/publications/osmnx-complex-street-networks/](https://geoffboeing.com/publications/osmnx-complex-street-networks/)  
-[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
-11 stars per week over 332 weeks  
-3,948 stars, 731 forks, 123 watches  
-[gis](categories/gis.md) category, created 2016-07-24, last commit 2022-11-28, main language Python  
-<sub><sup>geography, geospatial, gis, mapping, networks, networkx, openstreetmap, osm, osmnx, overpass-api, python, routing, spatial, spatial-analysis, spatial-data, street-networks, transport, transportation, urban, urban-planning</sup></sub>
+### [pygments](https://github.com/pygments/pygments)  
+Pygments is a generic syntax highlighter written in Python  
+[http://pygments.org/](http://pygments.org/)  
+[https://github.com/pygments/pygments](https://github.com/pygments/pygments)  
+6.62 stars per week over 183 weeks  
+1,212 stars, 507 forks, 31 watches  
+[util](categories/util.md) category, created 2019-08-31, last commit 2023-03-03, main language Python  
+<sub><sup>python, syntax-highlighting</sup></sub>
 
 
-### [mamba](https://github.com/mamba-org/mamba) by [mamba-org](https://github.com/mamba-org)  
-mamba: The Fast Cross-Platform Package Manager  
-[https://mamba.readthedocs.io](https://mamba.readthedocs.io)  
-[https://github.com/mamba-org/mamba](https://github.com/mamba-org/mamba)  
-20 stars per week over 196 weeks  
-3,944 stars, 226 forks, 39 watches  
-[util](categories/util.md) category, created 2019-03-05, last commit 2022-12-06, main language C++  
+### [basic-pitch](https://github.com/spotify/basic-pitch) by [spotify](https://github.com/spotify)  
+basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection  
+[https://basicpitch.io](https://basicpitch.io)  
+[https://github.com/spotify/basic-pitch](https://github.com/spotify/basic-pitch)  
+37 stars per week over 43 weeks  
+1,651 stars, 95 forks, 32 watches  
+[util](categories/util.md) category, created 2022-05-03, last commit 2023-02-27, main language Python  
+<sub><sup>audio, lightweight, machine-learning, midi, music, pitch-detection, polyphonic, python, transcription, typescript</sup></sub>
 
 
-### [river](https://github.com/online-ml/river) by [online-ml](https://github.com/online-ml)  
-river: 🌊 Online machine learning in Python  
-[https://riverml.xyz](https://riverml.xyz)  
-[https://github.com/online-ml/river](https://github.com/online-ml/river)  
-19 stars per week over 201 weeks  
-3,915 stars, 432 forks, 82 watches  
-[ml](categories/ml.md) category, created 2019-01-24, last commit 2022-12-06, main language Python  
-<sub><sup>concept-drift, data-science, incremental-learning, machine-learning, online-learning, online-machine-learning, online-statistics, python, real-time-processing, stream-processing, streaming, streaming-data</sup></sub>
+### [vissl](https://github.com/facebookresearch/vissl) by [facebookresearch](https://github.com/facebookresearch)  
+VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.  
+[https://vissl.ai](https://vissl.ai)  
+[https://github.com/facebookresearch/vissl](https://github.com/facebookresearch/vissl)  
+19 stars per week over 151 weeks  
+2,968 stars, 312 forks, 52 watches  
+[ml](categories/ml.md) category, created 2020-04-09, last commit 2022-12-28, main language Jupyter Notebook  
 
 
-### [web3.py](https://github.com/ethereum/web3.py) by [ethereum](https://github.com/ethereum)  
-web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.  
-[http://web3py.readthedocs.io](http://web3py.readthedocs.io)  
-[https://github.com/ethereum/web3.py](https://github.com/ethereum/web3.py)  
-11 stars per week over 346 weeks  
-3,896 stars, 1,223 forks, 117 watches  
-[crypto](categories/crypto.md) category, created 2016-04-14, last commit 2022-12-02, main language Python  
+### [AugLy](https://github.com/facebookresearch/augly) by [facebookresearch](https://github.com/facebookresearch)  
+AugLy: A data augmentations library for audio, image, text, and video.  
+[https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/](https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/)  
+[https://github.com/facebookresearch/augly](https://github.com/facebookresearch/augly)  
+51 stars per week over 90 weeks  
+4,671 stars, 275 forks, 62 watches  
+[data](categories/data.md) category, created 2021-06-09, last commit 2022-12-05, main language Python  
 
 
-### [yellowbrick](https://github.com/districtdatalabs/yellowbrick) by [districtdatalabs](https://github.com/districtdatalabs)  
-yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.  
-[http://www.scikit-yb.org/](http://www.scikit-yb.org/)  
-[https://github.com/districtdatalabs/yellowbrick](https://github.com/districtdatalabs/yellowbrick)  
-11 stars per week over 342 weeks  
-3,861 stars, 538 forks, 102 watches  
-[ml](categories/ml.md) category, created 2016-05-18, last commit 2022-12-05, main language Python  
-<sub><sup>anaconda, estimator, machine-learning, matplotlib, model-selection, python, scikit-learn, visual-analysis, visualization, visualizer</sup></sub>
+### [alibi](https://github.com/seldonio/alibi) by [seldonio](https://github.com/seldonio)  
+alibi: Algorithms for explaining machine learning models  
+[https://docs.seldon.io/projects/alibi/en/stable/](https://docs.seldon.io/projects/alibi/en/stable/)  
+[https://github.com/seldonio/alibi](https://github.com/seldonio/alibi)  
+9.29 stars per week over 209 weeks  
+1,949 stars, 221 forks, 42 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2019-02-26, last commit 2023-03-01, main language Python  
+<sub><sup>counterfactual, explanations, interpretability, machine-learning, xai</sup></sub>
 
 
-### [mmediting](https://github.com/open-mmlab/mmediting) by [open-mmlab](https://github.com/open-mmlab)  
-mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox  
-[https://mmediting.readthedocs.io/en/latest/](https://mmediting.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmediting](https://github.com/open-mmlab/mmediting)  
-22 stars per week over 171 weeks  
-3,839 stars, 685 forks, 83 watches  
-[ml](categories/ml.md) category, created 2019-08-23, last commit 2022-11-30, main language Python  
-<sub><sup>computer-vision, deep-learning, generative-adversarial-network, image-editing, image-generation, image-processing, image-synthesis, inpainting, matting, pytorch, super-resolution, video-frame-interpolation, video-interpolation, video-super-resolution</sup></sub>
+### [ipyvizzu](https://github.com/vizzuhq/ipyvizzu) by [vizzuhq](https://github.com/vizzuhq)  
+ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.  
+[https://ipyvizzu.vizzuhq.com](https://ipyvizzu.vizzuhq.com)  
+[https://github.com/vizzuhq/ipyvizzu](https://github.com/vizzuhq/ipyvizzu)  
+12 stars per week over 60 weeks  
+762 stars, 60 forks, 16 watches  
+[jupyter](categories/jupyter.md) category, created 2022-01-05, last commit 2023-03-01, main language Python  
+<sub><sup>animation, chart, charting, charts, data-visualization, dataviz, graphing, graphs, ipython, jupyter, jupyter-notebook, plotting, python, storytelling, vizzu</sup></sub>
 
 
-### [mimesis](https://github.com/lk-geimfari/mimesis) by [lk-geimfari](https://github.com/lk-geimfari)  
-Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.   
-[https://mimesis.name](https://mimesis.name)  
-[https://github.com/lk-geimfari/mimesis](https://github.com/lk-geimfari/mimesis)  
-11 stars per week over 325 weeks  
-3,822 stars, 303 forks, 64 watches  
-[data](categories/data.md) category, created 2016-09-09, last commit 2022-10-27, main language Python  
-<sub><sup>api-mock, data, datascience, dummy, fake, faker, fixtures, generator, json, json-generator, mimesis, mock, python, schema, synthetic-data, testing</sup></sub>
+### [dalle-playground](https://github.com/saharmor/dalle-playground) by [saharmor](https://github.com/saharmor)  
+dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)  
+[https://github.com/saharmor/dalle-playground](https://github.com/saharmor/dalle-playground)  
+33 stars per week over 76 weeks  
+2,587 stars, 565 forks, 28 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-09-13, last commit 2023-02-19, main language JavaScript  
+<sub><sup>artificial, artificial-intelligence, dall-e, dalle, dalle-mini, gan, machine-learning, openai, stable-diffusion, text-to-image, transformers</sup></sub>
 
 
-### [clearml](https://github.com/allegroai/clearml) by [allegroai](https://github.com/allegroai)  
-ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management  
-[https://clear.ml/docs](https://clear.ml/docs)  
-[https://github.com/allegroai/clearml](https://github.com/allegroai/clearml)  
-20 stars per week over 182 weeks  
-3,816 stars, 516 forks, 80 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-06-10, last commit 2022-12-06, main language Python  
-<sub><sup>ai, clearml, control, deep-learning, deeplearning, devops, experiment, experiment-manager, k8s, machine-learning, machinelearning, mlops, trains, trainsai, version, version-control</sup></sub>
+### [sparseml](https://github.com/neuralmagic/sparseml) by [neuralmagic](https://github.com/neuralmagic)  
+sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models  
+[https://github.com/neuralmagic/sparseml](https://github.com/neuralmagic/sparseml)  
+13 stars per week over 116 weeks  
+1,519 stars, 116 forks, 40 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-12-11, last commit 2023-03-04, main language Python  
+<sub><sup>automl, computer-vision-algorithms, deep-learning-algorithms, deep-learning-library, deep-learning-models, image-classification, keras, model-sparsification, nlp, object-detection, onnx, pruning, pruning-algorithms, pytorch, recipe-driven-approaches, smaller-models, sparsification, sparsification-recipes, sparsity, tensorflow</sup></sub>
 
 
-### [feast](https://github.com/feast-dev/feast) by [feast-dev](https://github.com/feast-dev)  
-feast: Feature Store for Machine Learning  
-[https://feast.dev](https://feast.dev)  
-[https://github.com/feast-dev/feast](https://github.com/feast-dev/feast)  
-18 stars per week over 208 weeks  
-3,798 stars, 708 forks, 74 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-12-10, last commit 2022-12-05, main language Python  
-<sub><sup>big-data, data-engineering, data-quality, data-science, feature-store, features, machine-learning, ml, mlops, python</sup></sub>
+### [zarr-python](https://github.com/zarr-developers/zarr-python) by [zarr-developers](https://github.com/zarr-developers)  
+zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.  
+[http://zarr.readthedocs.io/](http://zarr.readthedocs.io/)  
+[https://github.com/zarr-developers/zarr-python](https://github.com/zarr-developers/zarr-python)  
+2.9 stars per week over 376 weeks  
+1,093 stars, 217 forks, 45 watches  
+[data](categories/data.md) category, created 2015-12-15, last commit 2023-02-23, main language Python  
+<sub><sup>compressed, hacktoberfest, ndimensional-arrays, python, zarr</sup></sub>
 
 
-### [flax](https://github.com/google/flax) by [google](https://github.com/google)  
-Flax is a neural network library for JAX that is designed for flexibility.  
-[https://flax.readthedocs.io](https://flax.readthedocs.io)  
-[https://github.com/google/flax](https://github.com/google/flax)  
-24 stars per week over 151 weeks  
-3,788 stars, 437 forks, 74 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-01-10, last commit 2022-12-07, main language Python  
-<sub><sup>jax</sup></sub>
+### [icecream](https://github.com/gruns/icecream) by [gruns](https://github.com/gruns)  
+icecream: 🍦 Never use print() to debug again.  
+[https://github.com/gruns/icecream](https://github.com/gruns/icecream)  
+25 stars per week over 263 weeks  
+6,618 stars, 137 forks, 50 watches  
+[debug](categories/debug.md) category, created 2018-02-13, last commit 2022-12-04, main language Python  
+<sub><sup>debug, debugging, debugging-tool, inspects, library, print, python, python3</sup></sub>
 
 
-### [pedalboard](https://github.com/spotify/pedalboard) by [spotify](https://github.com/spotify)  
-pedalboard: 🎛 🔊 A Python library for working with audio.  
-[https://github.com/spotify/pedalboard](https://github.com/spotify/pedalboard)  
-50 stars per week over 74 weeks  
-3,756 stars, 145 forks, 44 watches  
-[util](categories/util.md) category, created 2021-07-06, last commit 2022-12-04, main language C++  
-<sub><sup>audio, audio-processing, audio-production, audio-research, audio-unit, juce, pybind11, python, tensorflow, vst3, vst3-host</sup></sub>
+### [bottle](https://github.com/bottlepy/bottle) by [bottlepy](https://github.com/bottlepy)  
+bottle.py is a fast and simple micro-framework for python web-applications.  
+[http://bottlepy.org/](http://bottlepy.org/)  
+[https://github.com/bottlepy/bottle](https://github.com/bottlepy/bottle)  
+11 stars per week over 713 weeks  
+7,910 stars, 1,446 forks, 312 watches  
+[web](categories/web.md) category, created 2009-06-30, last commit 2022-09-05, main language Python  
+<sub><sup>bottle, python, rest, web-framework, wsgi</sup></sub>
 
 
-### [dtale](https://github.com/man-group/dtale) by [man-group](https://github.com/man-group)  
-dtale: Visualizer for pandas data structures  
-[http://alphatechadmin.pythonanywhere.com](http://alphatechadmin.pythonanywhere.com)  
-[https://github.com/man-group/dtale](https://github.com/man-group/dtale)  
-21 stars per week over 177 weeks  
-3,754 stars, 315 forks, 67 watches  
-[viz](categories/viz.md) category, created 2019-07-15, last commit 2022-11-04, main language TypeScript  
-<sub><sup>data-analysis, data-science, data-visualization, flask, ipython, jupyter-notebook, pandas, plotly-dash, python27, python3, react, react-virtualized, visualization, xarray</sup></sub>
+### [pyzmq](https://github.com/zeromq/pyzmq) by [zeromq](https://github.com/zeromq)  
+PyZMQ:  Python bindings for zeromq  
+[http://zguide.zeromq.org/py:all](http://zguide.zeromq.org/py:all)  
+[https://github.com/zeromq/pyzmq](https://github.com/zeromq/pyzmq)  
+4.99 stars per week over 658 weeks  
+3,284 stars, 616 forks, 102 watches  
+[util](categories/util.md) category, created 2010-07-21, last commit 2023-02-23, main language Python  
+<sub><sup>cython, python, zeromq</sup></sub>
 
 
-### [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) by [apple](https://github.com/apple)  
-ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon  
-[https://github.com/apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion)  
-1241 stars per week over 3 weeks  
-3,725 stars, 128 forks, 46 watches  
-[diffusion](categories/diffusion.md) category, created 2022-11-16, last commit 2022-11-30, main language Python  
+### [h5py](https://github.com/h5py/h5py)  
+h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.  
+[http://www.h5py.org](http://www.h5py.org)  
+[https://github.com/h5py/h5py](https://github.com/h5py/h5py)  
+3.36 stars per week over 545 weeks  
+1,833 stars, 491 forks, 55 watches  
+[perf](categories/perf.md) category, created 2012-09-21, last commit 2023-03-04, main language Python  
 
 
-### [django-ninja](https://github.com/vitalik/django-ninja) by [vitalik](https://github.com/vitalik)  
-django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs  
-[https://django-ninja.rest-framework.com](https://django-ninja.rest-framework.com)  
-[https://github.com/vitalik/django-ninja](https://github.com/vitalik/django-ninja)  
-27 stars per week over 133 weeks  
-3,725 stars, 231 forks, 62 watches  
-[web](categories/web.md) category, created 2020-05-19, last commit 2022-11-20, main language Python  
-<sub><sup>django, django-ninja, openapi, pydantic, python, rest-api, swagger, swagger-ui</sup></sub>
+### [BasicSR](https://github.com/xpixelgroup/basicsr) by [xpixelgroup](https://github.com/xpixelgroup)  
+BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.  
+[https://basicsr.readthedocs.io/en/latest/](https://basicsr.readthedocs.io/en/latest/)  
+[https://github.com/xpixelgroup/basicsr](https://github.com/xpixelgroup/basicsr)  
+17 stars per week over 254 weeks  
+4,434 stars, 899 forks, 88 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-04-19, last commit 2023-02-02, main language Python  
+<sub><sup>basicsr, basicvsr, dfdnet, ecbsr, edsr, edvr, esrgan, pytorch, rcan, restoration, srgan, srresnet, stylegan2, super-resolution, swinir</sup></sub>
 
 
-### [nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero) by [karpathy](https://github.com/karpathy)  
-nn-zero-to-hero: Neural Networks: Zero to Hero  
-[https://github.com/karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)  
-288 stars per week over 12 weeks  
-3,708 stars, 252 forks, 151 watches  
-[study](categories/study.md) category, created 2022-09-08, last commit 2022-11-21, main language Jupyter Notebook  
+### [imgaug](https://github.com/aleju/imgaug) by [aleju](https://github.com/aleju)  
+imgaug: Image augmentation for machine learning experiments.  
+[http://imgaug.readthedocs.io](http://imgaug.readthedocs.io)  
+[https://github.com/aleju/imgaug](https://github.com/aleju/imgaug)  
+33 stars per week over 399 weeks  
+13,340 stars, 2,362 forks, 231 watches  
+[ml](categories/ml.md) category, created 2015-07-10, last commit 2020-06-01, main language Python  
+<sub><sup>affine-transformation, augment-images, augmentation, bounding-boxes, contrast, crop, deep-learning, heatmap, image-augmentation, images, keypoints, machine-learning, polygon, segmentation-maps</sup></sub>
 
 
-### [nlpaug](https://github.com/makcedward/nlpaug) by [makcedward](https://github.com/makcedward)  
-nlpaug: Data augmentation for NLP   
-[https://makcedward.github.io/](https://makcedward.github.io/)  
-[https://github.com/makcedward/nlpaug](https://github.com/makcedward/nlpaug)  
-18 stars per week over 193 weeks  
-3,672 stars, 419 forks, 38 watches  
-[nlp](categories/nlp.md) category, created 2019-03-21, last commit 2022-07-07, main language Jupyter Notebook  
-<sub><sup>adversarial-attacks, adversarial-example, ai, artificial-intelligence, augmentation, data-science, machine-learning, ml, natural-language-processing, nlp</sup></sub>
+### [featureform](https://github.com/featureform/embeddinghub)  
+featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.  
+[https://www.featureform.com](https://www.featureform.com)  
+[https://github.com/featureform/embeddinghub](https://github.com/featureform/embeddinghub)  
+9.77 stars per week over 124 weeks  
+1,214 stars, 46 forks, 13 watches  
+[nlp](categories/nlp.md) category, created 2020-10-16, last commit 2023-03-04, main language Go  
+<sub><sup>data-quality, data-science, embeddings, embeddings-similarity, feature-engineering, feature-store, hacktoberfest, machine-learning, ml, mlops, python, vector-database</sup></sub>
 
 
-### [memory_profiler](https://github.com/pythonprofilers/memory_profiler) by [pythonprofilers](https://github.com/pythonprofilers)  
-memory_profiler: Monitor Memory usage of Python code  
-[http://pypi.python.org/pypi/memory_profiler](http://pypi.python.org/pypi/memory_profiler)  
-[https://github.com/pythonprofilers/memory_profiler](https://github.com/pythonprofilers/memory_profiler)  
-6.31 stars per week over 581 weeks  
-3,671 stars, 363 forks, 76 watches  
-[profiling](categories/profiling.md) category, created 2011-10-14, last commit 2022-12-06, main language Python  
+### [backtesting.py](https://github.com/kernc/backtesting.py) by [kernc](https://github.com/kernc)  
+backtesting.py: :mag_right: :chart_with_upwards_trend: :snake: :moneybag:  Backtest trading strategies in Python.  
+[https://kernc.github.io/backtesting.py/](https://kernc.github.io/backtesting.py/)  
+[https://github.com/kernc/backtesting.py](https://github.com/kernc/backtesting.py)  
+15 stars per week over 217 weeks  
+3,336 stars, 665 forks, 94 watches  
+[finance](categories/finance.md) category, created 2019-01-02, last commit 2023-01-15, main language Python  
+<sub><sup>algo-trading, algorithmic-trading, backtesting, backtesting-engine, backtesting-frameworks, backtesting-trading-strategies, finance, financial-markets, forex, forex-trading, framework, hacktoberfest, investing, investment, investment-strategies, stocks, trading, trading-algorithms, trading-simulator, trading-strategies</sup></sub>
 
 
-### [amundsen](https://github.com/amundsen-io/amundsen) by [amundsen-io](https://github.com/amundsen-io)  
-Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.  
-[https://www.amundsen.io/amundsen/](https://www.amundsen.io/amundsen/)  
-[https://github.com/amundsen-io/amundsen](https://github.com/amundsen-io/amundsen)  
-19 stars per week over 186 weeks  
-3,661 stars, 888 forks, 245 watches  
-[data](categories/data.md) category, created 2019-05-14, last commit 2022-12-06, main language Python  
-<sub><sup>amundsen, data-catalog, data-discovery, linuxfoundation, metadata</sup></sub>
+### [vertex-ai-samples](https://github.com/googlecloudplatform/vertex-ai-samples) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+vertex-ai-samples: Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud  
+[https://cloud.google.com/vertex-ai](https://cloud.google.com/vertex-ai)  
+[https://github.com/googlecloudplatform/vertex-ai-samples](https://github.com/googlecloudplatform/vertex-ai-samples)  
+6.64 stars per week over 92 weeks  
+614 stars, 417 forks, 37 watches  
+[ml](categories/ml.md) category, created 2021-05-27, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>ai, data-science, gcp, google-cloud-platform, ml, mlops, notebook, python, samples, vertex-ai</sup></sub>
 
 
-### [MONAI](https://github.com/project-monai/monai) by [project-monai](https://github.com/project-monai)  
-MONAI: AI Toolkit for Healthcare Imaging  
-[https://monai.io/](https://monai.io/)  
-[https://github.com/project-monai/monai](https://github.com/project-monai/monai)  
-22 stars per week over 164 weeks  
-3,633 stars, 683 forks, 89 watches  
-[ml](categories/ml.md) category, created 2019-10-11, last commit 2022-12-06, main language Python  
-<sub><sup>deep-learning, healthcare-imaging, medical-image-computing, medical-image-processing, monai, python3, pytorch</sup></sub>
+### [hamilton](https://github.com/stitchfix/hamilton) by [stitchfix](https://github.com/stitchfix)  
+hamilton: A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton  
+[https://www.github.com/dagworks-inc/hamilton](https://www.github.com/dagworks-inc/hamilton)  
+[https://github.com/stitchfix/hamilton](https://github.com/stitchfix/hamilton)  
+6.14 stars per week over 144 weeks  
+889 stars, 44 forks, 18 watches  
+[pandas](categories/pandas.md) category, created 2020-05-26, last commit 2023-02-26, main language Python  
+<sub><sup>dag, data-engineering, data-platform, data-science, dataframe, etl, etl-framework, etl-pipeline, feature-engineering, featurization, hamilton, hamiltonian, machine-learning, numpy, pandas, python, software-engineering, stitch-fix</sup></sub>
 
 
-### [causalml](https://github.com/uber/causalml) by [uber](https://github.com/uber)  
-causalml: Uplift modeling and causal inference with machine learning algorithms  
-[https://github.com/uber/causalml](https://github.com/uber/causalml)  
-20 stars per week over 178 weeks  
-3,618 stars, 575 forks, 76 watches  
-[ml](categories/ml.md) category, created 2019-07-09, last commit 2022-11-10, main language Python  
-<sub><sup>causal-inference, incubation, machine-learning, uplift-modeling</sup></sub>
+### [datashader](https://github.com/holoviz/datashader) by [holoviz](https://github.com/holoviz)  
+datashader: Quickly and accurately render even the largest data.  
+[http://datashader.org](http://datashader.org)  
+[https://github.com/holoviz/datashader](https://github.com/holoviz/datashader)  
+7.81 stars per week over 375 weeks  
+2,932 stars, 364 forks, 95 watches  
+[gis](categories/gis.md) category, created 2015-12-23, last commit 2023-02-27, main language Python  
+<sub><sup>data-visualizations, datashader, holoviz, rasterization</sup></sub>
 
 
-### [captum](https://github.com/pytorch/captum) by [pytorch](https://github.com/pytorch)  
-captum: Model interpretability and understanding for PyTorch  
-[https://captum.ai](https://captum.ai)  
-[https://github.com/pytorch/captum](https://github.com/pytorch/captum)  
-21 stars per week over 171 weeks  
-3,615 stars, 388 forks, 212 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2019-08-27, last commit 2022-11-18, main language Python  
-<sub><sup>feature-attribution, feature-importance, interpretability, interpretable-ai, interpretable-ml</sup></sub>
+### [tensorstore](https://github.com/google/tensorstore) by [google](https://github.com/google)  
+tensorstore: Library for reading and writing large multi-dimensional arrays.  
+[https://google.github.io/tensorstore/](https://google.github.io/tensorstore/)  
+[https://github.com/google/tensorstore](https://github.com/google/tensorstore)  
+7.2 stars per week over 152 weeks  
+1,100 stars, 83 forks, 33 watches  
+[data](categories/data.md) category, created 2020-03-30, last commit 2023-03-03, main language C++  
 
 
-### [Cirq](https://github.com/quantumlib/cirq) by [quantumlib](https://github.com/quantumlib)  
-Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.  
-[https://github.com/quantumlib/cirq](https://github.com/quantumlib/cirq)  
-13 stars per week over 259 weeks  
-3,606 stars, 813 forks, 176 watches  
-[sim](categories/sim.md) category, created 2017-12-14, last commit 2022-11-22, main language Python  
-<sub><sup>cirq, nisq, quantum-algorithms, quantum-circuits, quantum-computing</sup></sub>
+### [shapash](https://github.com/maif/shapash) by [maif](https://github.com/maif)  
+shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone  
+[https://maif.github.io/shapash/](https://maif.github.io/shapash/)  
+[https://github.com/maif/shapash](https://github.com/maif/shapash)  
+14 stars per week over 148 weeks  
+2,123 stars, 260 forks, 38 watches  
+[ml](categories/ml.md) category, created 2020-04-29, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>ethical-artificial-intelligence, explainability, explainable-ml, interpretability, lime, machine-learning, python, shap, transparency</sup></sub>
 
 
-### [panda3d](https://github.com/panda3d/panda3d)  
-panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU  
-[https://www.panda3d.org/](https://www.panda3d.org/)  
-[https://github.com/panda3d/panda3d](https://github.com/panda3d/panda3d)  
-7.5 stars per week over 479 weeks  
-3,594 stars, 732 forks, 193 watches  
-[gamedev](categories/gamedev.md) category, created 2013-09-30, last commit 2022-12-06, main language C++  
-<sub><sup>c-plus-plus, cross-platform, game-development, game-engine, gamedev, multi-platform, open-source, opengl, panda3d, panda3d-game-engine, python</sup></sub>
+### [plotnine](https://github.com/has2k1/plotnine) by [has2k1](https://github.com/has2k1)  
+plotnine: A grammar of graphics for Python  
+[https://plotnine.readthedocs.io/en/stable/](https://plotnine.readthedocs.io/en/stable/)  
+[https://github.com/has2k1/plotnine](https://github.com/has2k1/plotnine)  
+11 stars per week over 305 weeks  
+3,377 stars, 194 forks, 67 watches  
+[viz](categories/viz.md) category, created 2017-04-24, last commit 2023-02-01, main language Python  
+<sub><sup>data-analysis, grammar, graphics, plotting, python</sup></sub>
 
 
-### [orchest](https://github.com/orchest/orchest)  
-orchest: Build data pipelines, the easy way 🛠️  
-[https://orchest.io](https://orchest.io)  
-[https://github.com/orchest/orchest](https://github.com/orchest/orchest)  
-26 stars per week over 132 weeks  
-3,565 stars, 208 forks, 37 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-05-21, last commit 2022-12-06, main language TypeScript  
-<sub><sup>airflow, cloud, dag, data-pipelines, data-science, deployment, docker, etl, etl-pipeline, ide, jupyter, jupyterlab, kubernetes, machine-learning, notebooks, orchest, pipelines, python, self-hosted</sup></sub>
+### [camelot](https://github.com/camelot-dev/camelot) by [camelot-dev](https://github.com/camelot-dev)  
+camelot: A Python library to extract tabular data from PDFs  
+[https://camelot-py.readthedocs.io](https://camelot-py.readthedocs.io)  
+[https://github.com/camelot-dev/camelot](https://github.com/camelot-dev/camelot)  
+9.64 stars per week over 191 weeks  
+1,850 stars, 340 forks, 47 watches  
+[util](categories/util.md) category, created 2019-07-01, last commit 2023-02-26, main language Python  
 
 
-### [RPA-Python](https://github.com/tebelorg/rpa-python) by [tebelorg](https://github.com/tebelorg)  
-RPA-Python: Python package for doing RPA  
-[https://github.com/tebelorg/rpa-python](https://github.com/tebelorg/rpa-python)  
-18 stars per week over 192 weeks  
-3,552 stars, 521 forks, 99 watches  
-[util](categories/util.md) category, created 2019-03-30, last commit 2022-09-07, main language Python  
-<sub><sup>cross-platform, opencv, python, rpa, sikuli, tagui, tesseract</sup></sub>
+### [CogVideo](https://github.com/thudm/cogvideo) by [thudm](https://github.com/thudm)  
+Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"  
+[https://github.com/thudm/cogvideo](https://github.com/thudm/cogvideo)  
+62 stars per week over 40 weeks  
+2,489 stars, 237 forks, 89 watches  
+[ml](categories/ml.md) category, created 2022-05-29, last commit 2022-11-17, main language Python  
 
 
-### [dream-textures](https://github.com/carson-katri/dream-textures) by [carson-katri](https://github.com/carson-katri)  
-dream-textures: Stable Diffusion built-in to the Blender shader editor  
-[https://github.com/carson-katri/dream-textures](https://github.com/carson-katri/dream-textures)  
-275 stars per week over 12 weeks  
-3,545 stars, 167 forks, 70 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-08, last commit 2022-12-06, main language Python  
-<sub><sup>ai, blender, blender-addon, image-generation, stable-diffusion</sup></sub>
+### [lime](https://github.com/marcotcr/lime) by [marcotcr](https://github.com/marcotcr)  
+Lime: Explaining the predictions of any machine learning classifier  
+[https://github.com/marcotcr/lime](https://github.com/marcotcr/lime)  
+28 stars per week over 363 weeks  
+10,476 stars, 1,716 forks, 270 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2016-03-15, last commit 2021-07-29, main language JavaScript  
 
 
-### [PyWebIO](https://github.com/pywebio/pywebio) by [pywebio](https://github.com/pywebio)  
-PyWebIO: Write interactive web app in script way.  
-[https://pywebio.readthedocs.io](https://pywebio.readthedocs.io)  
-[https://github.com/pywebio/pywebio](https://github.com/pywebio/pywebio)  
-24 stars per week over 144 weeks  
-3,527 stars, 314 forks, 44 watches  
-[web](categories/web.md) category, created 2020-02-29, last commit 2022-11-26, main language Python  
-<sub><sup>pywebio</sup></sub>
+### [Daft](https://github.com/eventual-inc/daft) by [eventual-inc](https://github.com/eventual-inc)  
+Daft: The Python DataFrame for Complex Data  
+[https://github.com/eventual-inc/daft](https://github.com/eventual-inc/daft)  
+10 stars per week over 44 weeks  
+470 stars, 18 forks, 6 watches  
+[pandas](categories/pandas.md) category, created 2022-04-25, last commit 2023-03-04, main language Python  
+<sub><sup>data-engineering, data-science, dataframe, deep-learning, distributed-computing, image-processing, machine-learning, python</sup></sub>
 
 
-### [freezegun](https://github.com/spulec/freezegun) by [spulec](https://github.com/spulec)  
-freezegun: Let your Python tests travel through time  
-[https://github.com/spulec/freezegun](https://github.com/spulec/freezegun)  
-6.71 stars per week over 521 weeks  
-3,499 stars, 243 forks, 34 watches  
-[testing](categories/testing.md) category, created 2012-12-11, last commit 2022-08-12, main language Python  
+### [websocket-client](https://github.com/websocket-client/websocket-client)  
+websocket-client: WebSocket client for Python  
+[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
+[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
+4.99 stars per week over 635 weeks  
+3,173 stars, 732 forks, 90 watches  
+[web](categories/web.md) category, created 2010-12-28, last commit 2023-03-01, main language Python  
+<sub><sup>python, rfc-6455, websocket, websocket-client, websockets, websockets-client</sup></sub>
 
 
-### [slither](https://github.com/crytic/slither) by [crytic](https://github.com/crytic)  
-slither: Static Analyzer for Solidity  
-[https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/](https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/)  
-[https://github.com/crytic/slither](https://github.com/crytic/slither)  
-15 stars per week over 222 weeks  
-3,491 stars, 637 forks, 63 watches  
-[crypto](categories/crypto.md) category, created 2018-09-05, last commit 2022-11-28, main language Python  
-<sub><sup>ethereum, solidity, static-analysis</sup></sub>
+### [Photon](https://github.com/s0md3v/photon) by [s0md3v](https://github.com/s0md3v)  
+Photon: Incredibly fast crawler designed for OSINT.  
+[https://github.com/s0md3v/photon](https://github.com/s0md3v/photon)  
+36 stars per week over 257 weeks  
+9,433 stars, 1,380 forks, 326 watches  
+[data](categories/data.md) category, created 2018-03-30, last commit 2022-12-20, main language Python  
+<sub><sup>crawler, information-gathering, osint, python, spider</sup></sub>
 
 
-### [grist-core](https://github.com/gristlabs/grist-core) by [gristlabs](https://github.com/gristlabs)  
-grist-core: Grist is the evolution of spreadsheets.  
-[https://support.getgrist.com/self-managed/](https://support.getgrist.com/self-managed/)  
-[https://github.com/gristlabs/grist-core](https://github.com/gristlabs/grist-core)  
-26 stars per week over 132 weeks  
-3,487 stars, 162 forks, 40 watches  
-[data](categories/data.md) category, created 2020-05-22, last commit 2022-12-05, main language TypeScript  
-<sub><sup>awesome, database, spreadsheet</sup></sub>
+### [Surprise](https://github.com/nicolashug/surprise) by [nicolashug](https://github.com/nicolashug)  
+Surprise: A Python scikit for building and analyzing recommender systems  
+[http://surpriselib.com](http://surpriselib.com)  
+[https://github.com/nicolashug/surprise](https://github.com/nicolashug/surprise)  
+17 stars per week over 332 weeks  
+5,705 stars, 968 forks, 147 watches  
+[ml](categories/ml.md) category, created 2016-10-23, last commit 2023-01-27, main language Python  
+<sub><sup>factorization, machine-learning, matrix, recommendation, recommender, svd, systems</sup></sub>
 
 
-### [gdal](https://github.com/osgeo/gdal) by [osgeo](https://github.com/osgeo)  
-GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.  
-[https://gdal.org](https://gdal.org)  
-[https://github.com/osgeo/gdal](https://github.com/osgeo/gdal)  
-6.57 stars per week over 530 weeks  
-3,482 stars, 1,946 forks, 170 watches  
-[gis](categories/gis.md) category, created 2012-10-09, last commit 2022-12-06, main language C++  
-<sub><sup>geospatial-data, raster, remote-sensing, vector</sup></sub>
+### [PettingZoo](https://github.com/pettingzoo-team/pettingzoo) by [pettingzoo-team](https://github.com/pettingzoo-team)  
+PettingZoo: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities  
+[https://pettingzoo.farama.org](https://pettingzoo.farama.org)  
+[https://github.com/pettingzoo-team/pettingzoo](https://github.com/pettingzoo-team/pettingzoo)  
+10 stars per week over 162 weeks  
+1,687 stars, 274 forks, 19 watches  
+[sim](categories/sim.md) category, created 2020-01-20, last commit 2023-03-04, main language Python  
+<sub><sup>api, gym, gymnasium, multi-agent-reinforcement-learning, reinforcement-learning</sup></sub>
 
 
-### [geopandas](https://github.com/geopandas/geopandas)  
-geopandas: Python tools for geographic data  
-[http://geopandas.org/](http://geopandas.org/)  
-[https://github.com/geopandas/geopandas](https://github.com/geopandas/geopandas)  
-6.99 stars per week over 492 weeks  
-3,443 stars, 770 forks, 105 watches  
-[gis](categories/gis.md) category, created 2013-06-27, last commit 2022-12-06, main language Python  
+### [arrow](https://github.com/arrow-py/arrow) by [arrow-py](https://github.com/arrow-py)  
+arrow: 🏹 Better dates & times for Python  
+[https://arrow.readthedocs.io](https://arrow.readthedocs.io)  
+[https://github.com/arrow-py/arrow](https://github.com/arrow-py/arrow)  
+15 stars per week over 537 weeks  
+8,236 stars, 639 forks, 134 watches  
+[util](categories/util.md) category, created 2012-11-18, last commit 2022-11-15, main language Python  
+<sub><sup>arrow, date, datetime, hacktoberfest, python, time, timestamp, timezones</sup></sub>
 
 
-### [BERTopic](https://github.com/maartengr/bertopic) by [maartengr](https://github.com/maartengr)  
-BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.   
-[https://maartengr.github.io/BERTopic/](https://maartengr.github.io/BERTopic/)  
-[https://github.com/maartengr/bertopic](https://github.com/maartengr/bertopic)  
-29 stars per week over 115 weeks  
-3,431 stars, 448 forks, 46 watches  
-[nlp](categories/nlp.md) category, created 2020-09-22, last commit 2022-12-06, main language Python  
-<sub><sup>bert, ldavis, machine-learning, nlp, sentence-embeddings, topic, topic-modeling, topic-modelling, topic-models, transformers</sup></sub>
+### [panda3d](https://github.com/panda3d/panda3d)  
+panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU  
+[https://www.panda3d.org/](https://www.panda3d.org/)  
+[https://github.com/panda3d/panda3d](https://github.com/panda3d/panda3d)  
+7.61 stars per week over 491 weeks  
+3,745 stars, 755 forks, 195 watches  
+[gamedev](categories/gamedev.md) category, created 2013-09-30, last commit 2023-02-26, main language C++  
+<sub><sup>c-plus-plus, cross-platform, game-development, game-engine, gamedev, multi-platform, open-source, opengl, panda3d, panda3d-game-engine, python</sup></sub>
 
 
-### [Transformers-Tutorials](https://github.com/nielsrogge/transformers-tutorials) by [nielsrogge](https://github.com/nielsrogge)  
-Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.  
-[https://github.com/nielsrogge/transformers-tutorials](https://github.com/nielsrogge/transformers-tutorials)  
-28 stars per week over 118 weeks  
-3,414 stars, 505 forks, 76 watches  
-[study](categories/study.md) category, created 2020-08-31, last commit 2022-11-25, main language Jupyter Notebook  
-<sub><sup>bert, gpt-2, layoutlm, pytorch, transformers, vision-transformer</sup></sub>
+### [xlwings](https://github.com/zoomeranalytics/xlwings) by [zoomeranalytics](https://github.com/zoomeranalytics)  
+xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.   
+[https://www.xlwings.org](https://www.xlwings.org)  
+[https://github.com/zoomeranalytics/xlwings](https://github.com/zoomeranalytics/xlwings)  
+5.42 stars per week over 467 weeks  
+2,534 stars, 455 forks, 119 watches  
+[data](categories/data.md) category, created 2014-03-17, last commit 2023-03-02, main language Python  
+<sub><sup>automation, excel, google-sheets, googlesheets, python, reporting</sup></sub>
 
 
-### [discoart](https://github.com/jina-ai/discoart) by [jina-ai](https://github.com/jina-ai)  
-discoart: 🪩 Create Disco Diffusion artworks in one line  
-[https://github.com/jina-ai/discoart](https://github.com/jina-ai/discoart)  
-149 stars per week over 22 weeks  
-3,407 stars, 203 forks, 32 watches  
-[diffusion](categories/diffusion.md) category, created 2022-06-30, last commit 2022-08-17, main language Python  
-<sub><sup>clip-guided-diffusion, creative-ai, creative-art, cross-modal, dalle, diffusion, disco-diffusion, discodiffusion, generative-art, imgen, latent-diffusion, midjourney, multimodal, prompts, stable-diffusion</sup></sub>
+### [spektral](https://github.com/danielegrattarola/spektral) by [danielegrattarola](https://github.com/danielegrattarola)  
+spektral: Graph Neural Networks with Keras and Tensorflow 2.  
+[https://graphneural.network](https://graphneural.network)  
+[https://github.com/danielegrattarola/spektral](https://github.com/danielegrattarola/spektral)  
+10 stars per week over 215 weeks  
+2,235 stars, 332 forks, 43 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-01-17, last commit 2023-02-11, main language Python  
+<sub><sup>deep-learning, graph-deep-learning, graph-neural-networks, keras, python, tensorflow, tensorflow2</sup></sub>
 
 
-### [python-ftfy](https://github.com/rspeer/python-ftfy) by [rspeer](https://github.com/rspeer)  
-python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.  
-[http://ftfy.readthedocs.org](http://ftfy.readthedocs.org)  
-[https://github.com/rspeer/python-ftfy](https://github.com/rspeer/python-ftfy)  
-6.29 stars per week over 536 weeks  
-3,376 stars, 116 forks, 75 watches  
-[util](categories/util.md) category, created 2012-08-24, last commit 2022-10-25, main language Python  
+### [more-itertools](https://github.com/more-itertools/more-itertools)  
+more-itertools: More routines for operating on iterables, beyond itertools  
+[https://more-itertools.rtfd.io](https://more-itertools.rtfd.io)  
+[https://github.com/more-itertools/more-itertools](https://github.com/more-itertools/more-itertools)  
+5.23 stars per week over 566 weeks  
+2,960 stars, 241 forks, 36 watches  
+[util](categories/util.md) category, created 2012-04-26, last commit 2023-03-03, main language Python  
 
 
-### [micrograd](https://github.com/karpathy/micrograd) by [karpathy](https://github.com/karpathy)  
-micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API  
-[https://github.com/karpathy/micrograd](https://github.com/karpathy/micrograd)  
-24 stars per week over 138 weeks  
-3,360 stars, 299 forks, 79 watches  
-[study](categories/study.md) category, created 2020-04-13, last commit 2020-04-18, main language Jupyter Notebook  
+### [nbconvert](https://github.com/jupyter/nbconvert) by [jupyter](https://github.com/jupyter)  
+nbconvert: Jupyter Notebook Conversion  
+[https://nbconvert.readthedocs.io/](https://nbconvert.readthedocs.io/)  
+[https://github.com/jupyter/nbconvert](https://github.com/jupyter/nbconvert)  
+3.52 stars per week over 412 weeks  
+1,451 stars, 512 forks, 51 watches  
+[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2023-02-20, main language Python  
 
 
-### [hatch](https://github.com/pypa/hatch) by [pypa](https://github.com/pypa)  
-hatch: Modern, extensible Python project management  
-[https://hatch.pypa.io/latest/](https://hatch.pypa.io/latest/)  
-[https://github.com/pypa/hatch](https://github.com/pypa/hatch)  
-11 stars per week over 288 weeks  
-3,349 stars, 157 forks, 49 watches  
-[util](categories/util.md) category, created 2017-05-31, last commit 2022-12-06, main language Python  
-<sub><sup>build, cli, packaging, plugin, python, versioning, virtualenv</sup></sub>
+### [Coercer](https://github.com/p0dalirius/coercer) by [p0dalirius](https://github.com/p0dalirius)  
+Coercer: A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.  
+[https://podalirius.net/](https://podalirius.net/)  
+[https://github.com/p0dalirius/coercer](https://github.com/p0dalirius/coercer)  
+31 stars per week over 35 weeks  
+1,118 stars, 122 forks, 18 watches  
+[util](categories/util.md) category, created 2022-06-30, last commit 2023-01-18, main language Python  
+<sub><sup>authentication, automatic, call, coerce, fuzzing, ntlm, privilege-escalation, rpc</sup></sub>
 
 
-### [layout-parser](https://github.com/layout-parser/layout-parser)  
-layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis  
-[https://layout-parser.github.io/](https://layout-parser.github.io/)  
-[https://github.com/layout-parser/layout-parser](https://github.com/layout-parser/layout-parser)  
-25 stars per week over 130 weeks  
-3,324 stars, 331 forks, 57 watches  
-[nlp](categories/nlp.md) category, created 2020-06-10, last commit 2022-08-06, main language Python  
-<sub><sup>computer-vision, deep-learning, detectron2, document-image-processing, document-layout-analysis, layout-analysis, layout-detection, layout-parser, object-detection, ocr</sup></sub>
+### [thinc](https://github.com/explosion/thinc) by [explosion](https://github.com/explosion)  
+thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries  
+[https://thinc.ai](https://thinc.ai)  
+[https://github.com/explosion/thinc](https://github.com/explosion/thinc)  
+6.11 stars per week over 437 weeks  
+2,673 stars, 270 forks, 82 watches  
+[ml-dl](categories/ml-dl.md) category, created 2014-10-16, last commit 2023-03-03, main language Python  
+<sub><sup>ai, artificial-intelligence, deep-learning, functional-programming, jax, machine-learning, machine-learning-library, mxnet, natural-language-processing, nlp, python, pytorch, spacy, tensorflow, type-checking</sup></sub>
 
 
-### [accelerate](https://github.com/huggingface/accelerate) by [huggingface](https://github.com/huggingface)  
-accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision  
-[https://huggingface.co/docs/accelerate](https://huggingface.co/docs/accelerate)  
-[https://github.com/huggingface/accelerate](https://github.com/huggingface/accelerate)  
-30 stars per week over 109 weeks  
-3,312 stars, 277 forks, 63 watches  
-[ml](categories/ml.md) category, created 2020-10-30, last commit 2022-12-06, main language Python  
+### [baselines](https://github.com/openai/baselines) by [openai](https://github.com/openai)  
+OpenAI Baselines: high-quality implementations of reinforcement learning algorithms  
+[https://github.com/openai/baselines](https://github.com/openai/baselines)  
+45 stars per week over 301 weeks  
+13,822 stars, 4,533 forks, 615 watches  
+[ml](categories/ml.md) category, created 2017-05-24, last commit 2020-01-31, main language Python  
 
 
-### [ReAgent](https://github.com/facebookresearch/reagent) by [facebookresearch](https://github.com/facebookresearch)  
-ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)  
-[https://reagent.ai](https://reagent.ai)  
-[https://github.com/facebookresearch/reagent](https://github.com/facebookresearch/reagent)  
-11 stars per week over 279 weeks  
-3,308 stars, 497 forks, 146 watches  
-[ml](categories/ml.md) category, created 2017-07-27, last commit 2022-11-15, main language Python  
+### [XlsxWriter](https://github.com/jmcnamara/xlsxwriter) by [jmcnamara](https://github.com/jmcnamara)  
+XlsxWriter: A Python module for creating Excel XLSX files.  
+[https://xlsxwriter.readthedocs.io](https://xlsxwriter.readthedocs.io)  
+[https://github.com/jmcnamara/xlsxwriter](https://github.com/jmcnamara/xlsxwriter)  
+5.98 stars per week over 530 weeks  
+3,169 stars, 594 forks, 121 watches  
+[data](categories/data.md) category, created 2013-01-04, last commit 2023-03-01, main language Python  
+<sub><sup>charts, libxlsxwriter, pandas, python, spreadsheet, xlsx, xlsx-files, xlsxwriter</sup></sub>
 
 
-### [circuitpython](https://github.com/adafruit/circuitpython) by [adafruit](https://github.com/adafruit)  
-CircuitPython - a Python implementation for teaching coding with microcontrollers  
-[https://circuitpython.org](https://circuitpython.org)  
-[https://github.com/adafruit/circuitpython](https://github.com/adafruit/circuitpython)  
-10 stars per week over 328 weeks  
-3,300 stars, 873 forks, 128 watches  
-[util](categories/util.md) category, created 2016-08-20, last commit 2022-12-07, main language C  
-<sub><sup>beginner, circuitpython, cpython, education, embedded, hacktoberfest, microcontroller, micropython, python, python3</sup></sub>
+### [joblib](https://github.com/joblib/joblib)  
+joblib: Computing with Python functions.  
+[http://joblib.readthedocs.org](http://joblib.readthedocs.org)  
+[https://github.com/joblib/joblib](https://github.com/joblib/joblib)  
+4.59 stars per week over 669 weeks  
+3,071 stars, 367 forks, 61 watches  
+[util](categories/util.md) category, created 2010-05-07, last commit 2023-02-21, main language Python  
+<sub><sup>caching, memoization, multiprocessing, parallel-computing, python, threading</sup></sub>
 
 
-### [plotnine](https://github.com/has2k1/plotnine) by [has2k1](https://github.com/has2k1)  
-plotnine: A grammar of graphics for Python  
-[https://plotnine.readthedocs.io/en/stable/](https://plotnine.readthedocs.io/en/stable/)  
-[https://github.com/has2k1/plotnine](https://github.com/has2k1/plotnine)  
-11 stars per week over 293 weeks  
-3,268 stars, 184 forks, 65 watches  
-[viz](categories/viz.md) category, created 2017-04-24, last commit 2022-11-29, main language Python  
-<sub><sup>data-analysis, grammar, graphics, plotting, python</sup></sub>
+### [awkward](https://github.com/scikit-hep/awkward-1.0) by [scikit-hep](https://github.com/scikit-hep)  
+awkward: Manipulate JSON-like data with NumPy-like idioms.  
+[https://awkward-array.org](https://awkward-array.org)  
+[https://github.com/scikit-hep/awkward-1.0](https://github.com/scikit-hep/awkward-1.0)  
+3.51 stars per week over 185 weeks  
+651 stars, 68 forks, 17 watches  
+[data](categories/data.md) category, created 2019-08-14, last commit 2023-03-03, main language Python  
+<sub><sup>apache-arrow, cern-root, columnar-format, data-analysis, jagged-array, json, numba, numpy, pandas, python, ragged-array, scikit-hep</sup></sub>
 
 
-### [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) by [aws](https://github.com/aws)  
-aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).  
-[https://aws-sdk-pandas.readthedocs.io](https://aws-sdk-pandas.readthedocs.io)  
-[https://github.com/aws/aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas)  
-16 stars per week over 197 weeks  
-3,242 stars, 554 forks, 58 watches  
-[pandas](categories/pandas.md) category, created 2019-02-26, last commit 2022-12-05, main language Python  
-<sub><sup>amazon-athena, amazon-sagemaker-notebook, apache-arrow, apache-parquet, athena, aws, aws-glue, aws-lambda, data-engineering, data-science, emr, etl, glue-catalog, lambda, mysql, pandas, python, redshift</sup></sub>
+### [connector-x](https://github.com/sfu-db/connector-x) by [sfu-db](https://github.com/sfu-db)  
+connector-x: Fastest library to load data from DB to DataFrames in Rust and Python  
+[https://sfu-db.github.io/connector-x/intro.html](https://sfu-db.github.io/connector-x/intro.html)  
+[https://github.com/sfu-db/connector-x](https://github.com/sfu-db/connector-x)  
+10 stars per week over 111 weeks  
+1,122 stars, 79 forks, 26 watches  
+[data](categories/data.md) category, created 2021-01-13, last commit 2023-02-28, main language Rust  
+<sub><sup>database, dataframe, python, rust, sql</sup></sub>
 
 
-### [stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion) by [ashawkey](https://github.com/ashawkey)  
-stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.  
-[https://github.com/ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  
-364 stars per week over 8 weeks  
-3,229 stars, 264 forks, 74 watches  
-[diffusion](categories/diffusion.md) category, created 2022-10-06, last commit 2022-12-03, main language Python  
-<sub><sup>dreamfusion, gui, nerf, stable-diffusion, text-to-3d</sup></sub>
+### [deepsparse](https://github.com/neuralmagic/deepsparse) by [neuralmagic](https://github.com/neuralmagic)  
+deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application  
+[https://github.com/neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse)  
+11 stars per week over 115 weeks  
+1,297 stars, 81 forks, 40 watches  
+[nlp](categories/nlp.md) category, created 2020-12-14, last commit 2023-03-02, main language Python  
+<sub><sup>auto-ml, computer-vision, cpu-inference-api, cpus, deepsparse-engine, inference, machinelearning, ml, nlp, object-detection, onnx, pretrained-models, pruning, pytorch, quantization, sparsification, sparsification-recipe, sparsified-models, tensorflow, yolov3</sup></sub>
 
 
-### [pywebview](https://github.com/r0x0r/pywebview) by [r0x0r](https://github.com/r0x0r)  
-pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS  
-[https://pywebview.flowrl.com](https://pywebview.flowrl.com)  
-[https://github.com/r0x0r/pywebview](https://github.com/r0x0r/pywebview)  
-7.68 stars per week over 419 weeks  
-3,224 stars, 430 forks, 57 watches  
-[gui](categories/gui.md) category, created 2014-11-20, last commit 2022-12-05, main language Python  
-<sub><sup>cef, cocoa, gtk, gui, html, javascript, linux, osx, python, qt, webkit, windows</sup></sub>
+### [grass](https://github.com/osgeo/grass) by [osgeo](https://github.com/osgeo)  
+GRASS GIS - free and open source Geographic Information System (GIS)  
+[https://grass.osgeo.org](https://grass.osgeo.org)  
+[https://github.com/osgeo/grass](https://github.com/osgeo/grass)  
+3.01 stars per week over 198 weeks  
+596 stars, 223 forks, 43 watches  
+[gis](categories/gis.md) category, created 2019-05-17, last commit 2023-03-02, main language C  
+<sub><sup>earth-observation, geospatial, geospatial-analysis, gis, grass-gis, hacktoberfest, open-science, osgeo, raster, remote-sensing, science, spatial, timeseries-analysis, vector</sup></sub>
 
 
-### [pyzmq](https://github.com/zeromq/pyzmq) by [zeromq](https://github.com/zeromq)  
-PyZMQ:  Python bindings for zeromq  
-[http://zguide.zeromq.org/py:all](http://zguide.zeromq.org/py:all)  
-[https://github.com/zeromq/pyzmq](https://github.com/zeromq/pyzmq)  
-4.98 stars per week over 646 weeks  
-3,220 stars, 610 forks, 102 watches  
-[util](categories/util.md) category, created 2010-07-21, last commit 2022-12-06, main language Python  
-<sub><sup>cython, python, zeromq</sup></sub>
+### [eve](https://github.com/pyeve/eve) by [pyeve](https://github.com/pyeve)  
+eve: REST API framework designed for human beings  
+[https://python-eve.org](https://python-eve.org)  
+[https://github.com/pyeve/eve](https://github.com/pyeve/eve)  
+12 stars per week over 540 weeks  
+6,586 stars, 754 forks, 229 watches  
+[web](categories/web.md) category, created 2012-10-22, last commit 2022-11-10, main language Python  
+<sub><sup>flask, mongodb, python, rest</sup></sub>
 
 
-### [Binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot) by [cyberpunkmetalhead](https://github.com/cyberpunkmetalhead)  
-Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.  
-[https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot)  
-38 stars per week over 82 weeks  
-3,219 stars, 762 forks, 145 watches  
-[crypto](categories/crypto.md) category, created 2021-05-08, last commit 2021-06-10, main language Python  
+### [python-socketio](https://github.com/miguelgrinberg/python-socketio) by [miguelgrinberg](https://github.com/miguelgrinberg)  
+python-socketio: Python Socket.IO server and client  
+[https://github.com/miguelgrinberg/python-socketio](https://github.com/miguelgrinberg/python-socketio)  
+8.16 stars per week over 398 weeks  
+3,253 stars, 526 forks, 63 watches  
+[util](categories/util.md) category, created 2015-07-15, last commit 2023-02-16, main language Python  
+<sub><sup>asyncio, eventlet, gevent, long-polling, low-latency, python, socket-io, socketio, socketio-server, web-server, websocket</sup></sub>
 
 
-### [uwsgi](https://github.com/unbit/uwsgi) by [unbit](https://github.com/unbit)  
-uWSGI application server container  
-[http://projects.unbit.it/uwsgi](http://projects.unbit.it/uwsgi)  
-[https://github.com/unbit/uwsgi](https://github.com/unbit/uwsgi)  
-5.52 stars per week over 582 weeks  
-3,217 stars, 668 forks, 113 watches  
-[web](categories/web.md) category, created 2011-10-09, last commit 2022-11-23, main language C  
+### [machine-learning-book](https://github.com/rasbt/machine-learning-book) by [rasbt](https://github.com/rasbt)  
+machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn  
+[https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn](https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn)  
+[https://github.com/rasbt/machine-learning-book](https://github.com/rasbt/machine-learning-book)  
+25 stars per week over 63 weeks  
+1,628 stars, 613 forks, 31 watches  
+[study](categories/study.md) category, created 2021-12-19, last commit 2023-02-02, main language Jupyter Notebook  
+<sub><sup>deep-learning, machine-learning, neural-networks, pytorch, scikit-learn</sup></sub>
 
 
 ### [polyaxon](https://github.com/polyaxon/polyaxon)  
 polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle  
 [https://polyaxon.com](https://polyaxon.com)  
 [https://github.com/polyaxon/polyaxon](https://github.com/polyaxon/polyaxon)  
-10 stars per week over 310 weeks  
-3,212 stars, 315 forks, 77 watches  
-[ml-ops](categories/ml-ops.md) category, created 2016-12-26, last commit 2022-11-11, main language Python  
+10 stars per week over 322 weeks  
+3,265 stars, 319 forks, 78 watches  
+[ml-ops](categories/ml-ops.md) category, created 2016-12-26, last commit 2023-03-03, main language None  
 <sub><sup>artificial-intelligence, caffe, data-science, deep-learning, hyperparameter-optimization, jupyter, jupyterlab, k8s, keras, kubernetes, machine-learning, ml, mlops, mxnet, notebook, pipelines, pytorch, reinforcement-learning, tensorflow, workflow</sup></sub>
 
 
-### [gluonts](https://github.com/awslabs/gluonts) by [awslabs](https://github.com/awslabs)  
-gluonts: Probabilistic time series modeling in Python  
-[https://ts.gluon.ai](https://ts.gluon.ai)  
-[https://github.com/awslabs/gluonts](https://github.com/awslabs/gluonts)  
-17 stars per week over 186 weeks  
-3,195 stars, 646 forks, 70 watches  
-[time-series](categories/time-series.md) category, created 2019-05-15, last commit 2022-11-30, main language Python  
-<sub><sup>artificial-intelligence, aws, data-science, deep-learning, forecasting, machine-learning, mxnet, neural-networks, pytorch, sagemaker, time-series, time-series-forecasting, time-series-prediction, timeseries</sup></sub>
-
-
-### [remi](https://github.com/dddomodossola/remi) by [dddomodossola](https://github.com/dddomodossola)  
-remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.  
-[https://github.com/dddomodossola/remi](https://github.com/dddomodossola/remi)  
-6.98 stars per week over 454 weeks  
-3,177 stars, 388 forks, 119 watches  
-[gui](categories/gui.md) category, created 2014-03-20, last commit 2022-11-23, main language Python  
-<sub><sup>gui, gui-library, platform-independent, python, remi, ui</sup></sub>
+### [dopamine](https://github.com/google/dopamine) by [google](https://github.com/google)  
+Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.   
+[https://github.com/google/dopamine](https://github.com/google/dopamine)  
+[https://github.com/google/dopamine](https://github.com/google/dopamine)  
+41 stars per week over 240 weeks  
+10,026 stars, 1,343 forks, 442 watches  
+[ml](categories/ml.md) category, created 2018-07-26, last commit 2023-02-27, main language Jupyter Notebook  
+<sub><sup>ai, google, ml, rl, tensorflow</sup></sub>
 
 
-### [jupyter-book](https://github.com/executablebooks/jupyter-book) by [executablebooks](https://github.com/executablebooks)  
-jupyter-book: Create beautiful, publication-quality books and documents from computational content.  
-[http://jupyterbook.org](http://jupyterbook.org)  
-[https://github.com/executablebooks/jupyter-book](https://github.com/executablebooks/jupyter-book)  
-13 stars per week over 233 weeks  
-3,149 stars, 582 forks, 63 watches  
-[jupyter](categories/jupyter.md) category, created 2018-06-14, last commit 2022-11-23, main language Python  
-<sub><sup>documentation-generator, jupyter, sphinx-doc</sup></sub>
+### [PiML-Toolbox](https://github.com/selfexplainml/piml-toolbox) by [selfexplainml](https://github.com/selfexplainml)  
+PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation  
+[https://selfexplainml.github.io/PiML-Toolbox](https://selfexplainml.github.io/PiML-Toolbox)  
+[https://github.com/selfexplainml/piml-toolbox](https://github.com/selfexplainml/piml-toolbox)  
+12 stars per week over 44 weeks  
+550 stars, 61 forks, 15 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2022-04-29, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>interpretable-machine-learning, low-code, ml-workflow, model-diagnostics</sup></sub>
 
 
-### [python-socketio](https://github.com/miguelgrinberg/python-socketio) by [miguelgrinberg](https://github.com/miguelgrinberg)  
-python-socketio: Python Socket.IO server and client  
-[https://github.com/miguelgrinberg/python-socketio](https://github.com/miguelgrinberg/python-socketio)  
-8.14 stars per week over 386 weeks  
-3,142 stars, 511 forks, 63 watches  
-[util](categories/util.md) category, created 2015-07-15, last commit 2022-11-25, main language Python  
-<sub><sup>asyncio, eventlet, gevent, long-polling, low-latency, python, socket-io, socketio, socketio-server, web-server, websocket</sup></sub>
+### [stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow) by [divamgupta](https://github.com/divamgupta)  
+stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras  
+[https://github.com/divamgupta/stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow)  
+56 stars per week over 24 weeks  
+1,382 stars, 193 forks, 21 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-15, last commit 2022-11-22, main language Python  
 
 
-### [opencv-python](https://github.com/skvark/opencv-python) by [skvark](https://github.com/skvark)  
-opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.  
-[https://pypi.org/project/opencv-python/](https://pypi.org/project/opencv-python/)  
-[https://github.com/skvark/opencv-python](https://github.com/skvark/opencv-python)  
-9.03 stars per week over 347 weeks  
-3,140 stars, 616 forks, 82 watches  
-[ml](categories/ml.md) category, created 2016-04-08, last commit 2022-12-05, main language Shell  
-<sub><sup>manylinux, opencv, opencv-contrib-python, opencv-python, precompiled, pypi, python, python-3, wheel</sup></sub>
+### [freezegun](https://github.com/spulec/freezegun) by [spulec](https://github.com/spulec)  
+freezegun: Let your Python tests travel through time  
+[https://github.com/spulec/freezegun](https://github.com/spulec/freezegun)  
+6.73 stars per week over 533 weeks  
+3,594 stars, 249 forks, 31 watches  
+[testing](categories/testing.md) category, created 2012-12-11, last commit 2023-02-22, main language Python  
 
 
-### [websocket-client](https://github.com/websocket-client/websocket-client)  
-websocket-client: WebSocket client for Python  
-[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
-[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
-5.02 stars per week over 623 weeks  
-3,128 stars, 721 forks, 88 watches  
-[web](categories/web.md) category, created 2010-12-28, last commit 2022-11-04, main language Python  
-<sub><sup>python, rfc-6455, websocket, websocket-client, websockets, websockets-client</sup></sub>
+### [RPA-Python](https://github.com/tebelorg/rpa-python) by [tebelorg](https://github.com/tebelorg)  
+RPA-Python: Python package for doing RPA  
+[https://github.com/tebelorg/rpa-python](https://github.com/tebelorg/rpa-python)  
+17 stars per week over 205 weeks  
+3,663 stars, 541 forks, 101 watches  
+[util](categories/util.md) category, created 2019-03-30, last commit 2022-09-07, main language Python  
+<sub><sup>cross-platform, opencv, python, rpa, sikuli, tagui, tesseract</sup></sub>
 
 
-### [blaze](https://github.com/blaze/blaze)  
-blaze: NumPy and Pandas interface to Big Data  
-[blaze.pydata.org](blaze.pydata.org)  
-[https://github.com/blaze/blaze](https://github.com/blaze/blaze)  
-5.9 stars per week over 527 weeks  
-3,115 stars, 386 forks, 200 watches  
-[pandas](categories/pandas.md) category, created 2012-10-26, last commit 2019-08-15, main language Python  
+### [kaggle-api](https://github.com/kaggle/kaggle-api) by [kaggle](https://github.com/kaggle)  
+kaggle-api: Official Kaggle API  
+[https://github.com/kaggle/kaggle-api](https://github.com/kaggle/kaggle-api)  
+19 stars per week over 266 weeks  
+5,190 stars, 984 forks, 192 watches  
+[data](categories/data.md) category, created 2018-01-25, last commit 2023-03-01, main language Python  
 
 
-### [XlsxWriter](https://github.com/jmcnamara/xlsxwriter) by [jmcnamara](https://github.com/jmcnamara)  
-XlsxWriter: A Python module for creating Excel XLSX files.  
-[https://xlsxwriter.readthedocs.io](https://xlsxwriter.readthedocs.io)  
-[https://github.com/jmcnamara/xlsxwriter](https://github.com/jmcnamara/xlsxwriter)  
-6.0 stars per week over 517 weeks  
-3,105 stars, 590 forks, 120 watches  
-[data](categories/data.md) category, created 2013-01-04, last commit 2022-11-01, main language Python  
-<sub><sup>charts, libxlsxwriter, pandas, python, spreadsheet, xlsx, xlsx-files, xlsxwriter</sup></sub>
+### [pendulum](https://github.com/sdispater/pendulum) by [sdispater](https://github.com/sdispater)  
+pendulum: Python datetimes made easy  
+[https://pendulum.eustace.io](https://pendulum.eustace.io)  
+[https://github.com/sdispater/pendulum](https://github.com/sdispater/pendulum)  
+15 stars per week over 348 weeks  
+5,357 stars, 322 forks, 63 watches  
+[util](categories/util.md) category, created 2016-06-27, last commit 2023-02-25, main language Python  
+<sub><sup>date, datetime, python, python3, time, timezones</sup></sub>
 
 
-### [tox](https://github.com/tox-dev/tox) by [tox-dev](https://github.com/tox-dev)  
-tox: Command line driven CI frontend and development task automation tool.  
-[https://tox.wiki](https://tox.wiki)  
-[https://github.com/tox-dev/tox](https://github.com/tox-dev/tox)  
-9.54 stars per week over 324 weeks  
-3,097 stars, 443 forks, 41 watches  
-[testing](categories/testing.md) category, created 2016-09-17, last commit 2022-12-07, main language Python  
-<sub><sup>appveyor, automation, azure-pipelines, circleci, cli, continuous-integration, gitlab, hacktoberfest, python, testing, travis, venv, virtualenv</sup></sub>
+### [raster-vision](https://github.com/azavea/raster-vision) by [azavea](https://github.com/azavea)  
+raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.  
+[https://docs.rastervision.io](https://docs.rastervision.io)  
+[https://github.com/azavea/raster-vision](https://github.com/azavea/raster-vision)  
+5.67 stars per week over 317 weeks  
+1,799 stars, 351 forks, 83 watches  
+[gis](categories/gis.md) category, created 2017-02-02, last commit 2023-02-27, main language Python  
+<sub><sup>classification, computer-vision, deep-learning, geospatial, machine-learning, object-detection, pytorch, remote-sensing, semantic-segmentation</sup></sub>
 
 
-### [spack](https://github.com/spack/spack)  
-spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.  
-[https://spack.io](https://spack.io)  
-[https://github.com/spack/spack](https://github.com/spack/spack)  
-6.64 stars per week over 465 weeks  
-3,089 stars, 1,787 forks, 104 watches  
-[util](categories/util.md) category, created 2014-01-08, last commit 2022-12-07, main language Python  
-<sub><sup>build-tools, hpc, linux, macos, package-manager, python, radiuss, scientific-computing, spack</sup></sub>
+### [mljar-supervised](https://github.com/mljar/mljar-supervised) by [mljar](https://github.com/mljar)  
+mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation  
+[https://mljar.com](https://mljar.com)  
+[https://github.com/mljar/mljar-supervised](https://github.com/mljar/mljar-supervised)  
+11 stars per week over 225 weeks  
+2,489 stars, 326 forks, 43 watches  
+[ml](categories/ml.md) category, created 2018-11-05, last commit 2022-12-30, main language Python  
+<sub><sup>automated-machine-learning, automatic-machine-learning, automl, catboost, data-science, decision-tree, ensemble, feature-engineering, hyper-parameters, hyperparameter-optimization, lightgbm, machine-learning, mljar, models-tuning, neural-network, random-forest, scikit-learn, shap, tuning-algorithm, xgboost</sup></sub>
 
 
-### [shapely](https://github.com/shapely/shapely)  
-shapely: Manipulation and analysis of geometric objects  
-[https://shapely.readthedocs.io/en/stable/](https://shapely.readthedocs.io/en/stable/)  
-[https://github.com/shapely/shapely](https://github.com/shapely/shapely)  
-5.4 stars per week over 570 weeks  
-3,080 stars, 497 forks, 82 watches  
-[gis](categories/gis.md) category, created 2011-12-31, last commit 2022-12-07, main language Python  
+### [lux](https://github.com/lux-org/lux) by [lux-org](https://github.com/lux-org)  
+lux: Automatically visualize your pandas dataframe via a single print! 📊 💡  
+[https://github.com/lux-org/lux](https://github.com/lux-org/lux)  
+27 stars per week over 164 weeks  
+4,456 stars, 344 forks, 86 watches  
+[viz](categories/viz.md) category, created 2020-01-08, last commit 2022-05-21, main language Python  
+<sub><sup>data-science, exploratory-data-analysis, jupyter, pandas, python, visualization, visualization-tools</sup></sub>
 
 
-### [sqlparse](https://github.com/andialbrecht/sqlparse) by [andialbrecht](https://github.com/andialbrecht)  
-sqlparse: A non-validating SQL parser module for Python  
-[https://github.com/andialbrecht/sqlparse](https://github.com/andialbrecht/sqlparse)  
-5.54 stars per week over 555 weeks  
-3,077 stars, 612 forks, 93 watches  
-[data](categories/data.md) category, created 2012-04-18, last commit 2022-09-23, main language Python  
+### [lit](https://github.com/pair-code/lit) by [pair-code](https://github.com/pair-code)  
+lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.  
+[https://pair-code.github.io/lit](https://pair-code.github.io/lit)  
+[https://github.com/pair-code/lit](https://github.com/pair-code/lit)  
+22 stars per week over 135 weeks  
+3,082 stars, 327 forks, 70 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2020-07-28, last commit 2022-12-02, main language TypeScript  
+<sub><sup>machine-learning, natural-language-processing, visualization</sup></sub>
 
 
-### [markdown](https://github.com/python-markdown/markdown) by [python-markdown](https://github.com/python-markdown)  
-markdown: A Python implementation of John Gruber’s Markdown with Extension support.  
-[https://python-markdown.github.io/](https://python-markdown.github.io/)  
-[https://github.com/python-markdown/markdown](https://github.com/python-markdown/markdown)  
-4.7 stars per week over 653 weeks  
-3,071 stars, 789 forks, 76 watches  
-[util](categories/util.md) category, created 2010-05-29, last commit 2022-12-02, main language Python  
-<sub><sup>markdown, markdown-parser, markdown-to-html, python, python-markdown, python3</sup></sub>
+### [autoscraper](https://github.com/alirezamika/autoscraper) by [alirezamika](https://github.com/alirezamika)  
+autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python  
+[https://github.com/alirezamika/autoscraper](https://github.com/alirezamika/autoscraper)  
+38 stars per week over 130 weeks  
+4,975 stars, 525 forks, 125 watches  
+[data](categories/data.md) category, created 2020-08-31, last commit 2022-07-17, main language Python  
+<sub><sup>ai, artificial-intelligence, automation, crawler, machine-learning, python, scrape, scraper, scraping, web-scraping, webautomation, webscraping</sup></sub>
 
 
-### [gpt-2-simple](https://github.com/minimaxir/gpt-2-simple) by [minimaxir](https://github.com/minimaxir)  
-gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts  
-[https://github.com/minimaxir/gpt-2-simple](https://github.com/minimaxir/gpt-2-simple)  
-16 stars per week over 190 weeks  
-3,061 stars, 631 forks, 74 watches  
-[nlp](categories/nlp.md) category, created 2019-04-13, last commit 2022-05-22, main language Python  
-<sub><sup>openai, tensorflow, text-generation, textgenrnn</sup></sub>
+### [pointers.py](https://github.com/zerointensity/pointers.py) by [zerointensity](https://github.com/zerointensity)  
+pointers.py: Bringing the hell of pointers to Python.  
+[https://pointers.zintensity.dev/](https://pointers.zintensity.dev/)  
+[https://github.com/zerointensity/pointers.py](https://github.com/zerointensity/pointers.py)  
+15 stars per week over 51 weeks  
+802 stars, 11 forks, 4 watches  
+[perf](categories/perf.md) category, created 2022-03-09, last commit 2023-02-14, main language Python  
+<sub><sup>pointers, python, python-pointers</sup></sub>
 
 
-### [pipelines](https://github.com/kubeflow/pipelines) by [kubeflow](https://github.com/kubeflow)  
-pipelines: Machine Learning Pipelines for Kubeflow  
-[https://www.kubeflow.org/docs/components/pipelines/](https://www.kubeflow.org/docs/components/pipelines/)  
-[https://github.com/kubeflow/pipelines](https://github.com/kubeflow/pipelines)  
-12 stars per week over 238 weeks  
-3,054 stars, 1,348 forks, 103 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-05-12, last commit 2022-12-06, main language Python  
-<sub><sup>data-science, kubeflow, kubeflow-pipelines, kubernetes, machine-learning, mlops, pipeline</sup></sub>
+### [uwsgi](https://github.com/unbit/uwsgi) by [unbit](https://github.com/unbit)  
+uWSGI application server container  
+[http://projects.unbit.it/uwsgi](http://projects.unbit.it/uwsgi)  
+[https://github.com/unbit/uwsgi](https://github.com/unbit/uwsgi)  
+5.48 stars per week over 595 weeks  
+3,261 stars, 671 forks, 113 watches  
+[web](categories/web.md) category, created 2011-10-09, last commit 2023-01-10, main language C  
 
 
-### [txtai](https://github.com/neuml/txtai) by [neuml](https://github.com/neuml)  
-txtai: 💡 Build AI-powered semantic search applications   
-[https://neuml.github.io/txtai](https://neuml.github.io/txtai)  
-[https://github.com/neuml/txtai](https://github.com/neuml/txtai)  
-24 stars per week over 121 weeks  
-3,029 stars, 270 forks, 54 watches  
-[nlp](categories/nlp.md) category, created 2020-08-09, last commit 2022-12-03, main language Python  
-<sub><sup>api, audio-search, cloud-native, contextual-search, deep-learning, document-search, image-search, machine-learning, machine-learning-pipelines, machine-learning-workflows, microservice, neural-search, nlp, python, search, semantic-search, similarity-search, txtai, vector-search, video-search</sup></sub>
+### [yellowbrick](https://github.com/districtdatalabs/yellowbrick) by [districtdatalabs](https://github.com/districtdatalabs)  
+yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.  
+[http://www.scikit-yb.org/](http://www.scikit-yb.org/)  
+[https://github.com/districtdatalabs/yellowbrick](https://github.com/districtdatalabs/yellowbrick)  
+11 stars per week over 354 weeks  
+3,927 stars, 543 forks, 101 watches  
+[ml](categories/ml.md) category, created 2016-05-18, last commit 2023-02-27, main language Python  
+<sub><sup>anaconda, estimator, machine-learning, matplotlib, model-selection, python, scikit-learn, visual-analysis, visualization, visualizer</sup></sub>
 
 
-### [lit](https://github.com/pair-code/lit) by [pair-code](https://github.com/pair-code)  
-lit: The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.  
-[https://pair-code.github.io/lit](https://pair-code.github.io/lit)  
-[https://github.com/pair-code/lit](https://github.com/pair-code/lit)  
-24 stars per week over 123 weeks  
-3,023 stars, 318 forks, 72 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2020-07-28, last commit 2022-12-02, main language TypeScript  
-<sub><sup>machine-learning, natural-language-processing, visualization</sup></sub>
+### [CodeGen](https://github.com/salesforce/codegen) by [salesforce](https://github.com/salesforce)  
+CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.  
+[https://github.com/salesforce/codegen](https://github.com/salesforce/codegen)  
+47 stars per week over 48 weeks  
+2,316 stars, 176 forks, 43 watches  
+[nlp](categories/nlp.md) category, created 2022-03-28, last commit 2022-12-01, main language Python  
+<sub><sup>codex, generativemodel, languagemodel, llm, programsynthesis, tpu-acceleration</sup></sub>
 
 
-### [SeleniumBase](https://github.com/seleniumbase/seleniumbase) by [seleniumbase](https://github.com/seleniumbase)  
-SeleniumBase: Python framework for web automation and testing. Includes a dashboard and a test-generating recorder.  
-[https://seleniumbase.io](https://seleniumbase.io)  
-[https://github.com/seleniumbase/seleniumbase](https://github.com/seleniumbase/seleniumbase)  
-6.59 stars per week over 457 weeks  
-3,012 stars, 724 forks, 119 watches  
-[testing](categories/testing.md) category, created 2014-03-04, last commit 2022-12-05, main language Python  
-<sub><sup>awesome-list, behave, chrome, chromedriver, e2e-testing, firefox, pytest, pytest-plugin, python, recorder, rpa, selenium, selenium-python, seleniumbase, testing, testing-tools, web-automation, webautomation, webdriver, webkit</sup></sub>
+### [criticality_score](https://github.com/ossf/criticality_score) by [ossf](https://github.com/ossf)  
+criticality_score: Gives criticality score for an open source project  
+[https://github.com/ossf/criticality_score](https://github.com/ossf/criticality_score)  
+9.86 stars per week over 119 weeks  
+1,180 stars, 89 forks, 30 watches  
+[util](categories/util.md) category, created 2020-11-17, last commit 2023-02-28, main language Go  
 
 
-### [textdistance](https://github.com/life4/textdistance) by [life4](https://github.com/life4)  
-textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.  
-[https://github.com/life4/textdistance](https://github.com/life4/textdistance)  
-10 stars per week over 291 weeks  
-3,004 stars, 240 forks, 61 watches  
-[nlp](categories/nlp.md) category, created 2017-05-05, last commit 2022-09-18, main language Python  
-<sub><sup>algorithm, algorithms, damerau-levenshtein, damerau-levenshtein-distance, diff, distance, distance-calculation, hamming-distance, jellyfish, levenshtein, levenshtein-distance, python, textdistance</sup></sub>
+### [hiplot](https://github.com/facebookresearch/hiplot) by [facebookresearch](https://github.com/facebookresearch)  
+HiPlot makes understanding high dimensional data easy  
+[https://facebookresearch.github.io/hiplot/](https://facebookresearch.github.io/hiplot/)  
+[https://github.com/facebookresearch/hiplot](https://github.com/facebookresearch/hiplot)  
+14 stars per week over 173 weeks  
+2,429 stars, 124 forks, 29 watches  
+[viz](categories/viz.md) category, created 2019-11-08, last commit 2023-03-03, main language TypeScript  
 
 
-### [joblib](https://github.com/joblib/joblib)  
-joblib: Computing with Python functions.  
-[http://joblib.readthedocs.org](http://joblib.readthedocs.org)  
-[https://github.com/joblib/joblib](https://github.com/joblib/joblib)  
-4.54 stars per week over 656 weeks  
-2,984 stars, 356 forks, 63 watches  
-[util](categories/util.md) category, created 2010-05-07, last commit 2022-11-25, main language Python  
-<sub><sup>caching, memoization, multiprocessing, parallel-computing, python, threading</sup></sub>
+### [imageio](https://github.com/imageio/imageio)  
+imageio: Python library for reading and writing image data  
+[https://imageio.readthedocs.io](https://imageio.readthedocs.io)  
+[https://github.com/imageio/imageio](https://github.com/imageio/imageio)  
+2.35 stars per week over 513 weeks  
+1,204 stars, 244 forks, 32 watches  
+[util](categories/util.md) category, created 2013-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>animated-gif, dicom, imageio, python, scientific-formats, video, webcam-capture</sup></sub>
 
 
-### [coremltools](https://github.com/apple/coremltools) by [apple](https://github.com/apple)  
-coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.  
-[https://coremltools.readme.io](https://coremltools.readme.io)  
-[https://github.com/apple/coremltools](https://github.com/apple/coremltools)  
-10 stars per week over 283 weeks  
-2,981 stars, 476 forks, 109 watches  
-[ml](categories/ml.md) category, created 2017-06-30, last commit 2022-12-06, main language Python  
-<sub><sup>coreml, coremltools, machine-learning, model-conversion, model-converter, pytorch, tensorflow</sup></sub>
+### [SDV](https://github.com/sdv-dev/sdv) by [sdv-dev](https://github.com/sdv-dev)  
+SDV: Synthetic Data Generation for tabular, relational and time series data.  
+[https://sdv.dev/SDV](https://sdv.dev/SDV)  
+[https://github.com/sdv-dev/sdv](https://github.com/sdv-dev/sdv)  
+5.18 stars per week over 251 weeks  
+1,302 stars, 208 forks, 40 watches  
+[data](categories/data.md) category, created 2018-05-11, last commit 2023-01-24, main language Python  
+<sub><sup>data-generation, deep-learning, gan, gans, generative-adversarial-network, generative-ai, generative-model, machine-learning, multi-table, relational-datasets, sdv, synthetic-data, synthetic-data-generation, time-series</sup></sub>
 
 
-### [vispy](https://github.com/vispy/vispy)  
-vispy: Main repository for Vispy  
-[http://vispy.org](http://vispy.org)  
-[https://github.com/vispy/vispy](https://github.com/vispy/vispy)  
-5.88 stars per week over 506 weeks  
-2,979 stars, 604 forks, 122 watches  
-[viz](categories/viz.md) category, created 2013-03-21, last commit 2022-11-14, main language Python  
-<sub><sup>closember, hacktoberfest, opengl, python, visualization</sup></sub>
+### [ipyvolume](https://github.com/maartenbreddels/ipyvolume) by [maartenbreddels](https://github.com/maartenbreddels)  
+ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL  
+[https://github.com/maartenbreddels/ipyvolume](https://github.com/maartenbreddels/ipyvolume)  
+5.66 stars per week over 323 weeks  
+1,830 stars, 236 forks, 51 watches  
+[jupyter](categories/jupyter.md) category, created 2016-12-21, last commit 2023-02-25, main language TypeScript  
+<sub><sup>dataviz, ipython-widget, jupyter, jupyter-notebook, plotting, python, quiver, rendering-3d-volumes, scientific-visualization, threejs, virtual-reality, visualisation, volume-rendering, webgl</sup></sub>
 
 
-### [praw](https://github.com/praw-dev/praw) by [praw-dev](https://github.com/praw-dev)  
-PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
-[http://praw.readthedocs.io/](http://praw.readthedocs.io/)  
-[https://github.com/praw-dev/praw](https://github.com/praw-dev/praw)  
-4.61 stars per week over 641 weeks  
-2,956 stars, 449 forks, 72 watches  
-[data](categories/data.md) category, created 2010-08-19, last commit 2022-12-07, main language Python  
-<sub><sup>api, oauth, praw, python, reddit, reddit-api</sup></sub>
+### [skops](https://github.com/skops-dev/skops) by [skops-dev](https://github.com/skops-dev)  
+skops is a Python library helping you share your scikit-learn based models and put them in production  
+[https://skops.readthedocs.io/en/stable/](https://skops.readthedocs.io/en/stable/)  
+[https://github.com/skops-dev/skops](https://github.com/skops-dev/skops)  
+6.17 stars per week over 43 weeks  
+269 stars, 42 forks, 9 watches  
+[ml-ops](categories/ml-ops.md) category, created 2022-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>hacktoberfest, huggingface, machine-learning, mlops, scikit-learn</sup></sub>
 
 
-### [consensus-specs](https://github.com/ethereum/consensus-specs) by [ethereum](https://github.com/ethereum)  
-consensus-specs: Ethereum Proof-of-Stake Consensus Specifications  
-[https://github.com/ethereum/consensus-specs](https://github.com/ethereum/consensus-specs)  
-13 stars per week over 219 weeks  
-2,952 stars, 740 forks, 245 watches  
-[crypto](categories/crypto.md) category, created 2018-09-20, last commit 2022-12-06, main language Python  
+### [opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib) by [open-telemetry](https://github.com/open-telemetry)  
+opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules  
+[https://opentelemetry.io](https://opentelemetry.io)  
+[https://github.com/open-telemetry/opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib)  
+2.38 stars per week over 173 weeks  
+412 stars, 320 forks, 14 watches  
+[util](categories/util.md) category, created 2019-11-08, last commit 2023-02-28, main language Python  
 
 
-### [jupyterlite](https://github.com/jupyterlite/jupyterlite)  
-jupyterlite: Wasm powered Jupyter running in the browser 💡  
-[https://jupyterlite.rtfd.io/en/latest/try/lab](https://jupyterlite.rtfd.io/en/latest/try/lab)  
-[https://github.com/jupyterlite/jupyterlite](https://github.com/jupyterlite/jupyterlite)  
-33 stars per week over 88 weeks  
-2,932 stars, 177 forks, 43 watches  
-[jupyter](categories/jupyter.md) category, created 2021-03-27, last commit 2022-11-30, main language Python  
-<sub><sup>jupyter, jupyterlab, jupyterlab-extension, lite, pyodide, wasm, webassembly</sup></sub>
+### [pycryptodome](https://github.com/legrandin/pycryptodome) by [legrandin](https://github.com/legrandin)  
+pycryptodome: A self-contained cryptographic library for Python  
+[https://www.pycryptodome.org](https://www.pycryptodome.org)  
+[https://github.com/legrandin/pycryptodome](https://github.com/legrandin/pycryptodome)  
+4.93 stars per week over 461 weeks  
+2,274 stars, 420 forks, 59 watches  
+[util](categories/util.md) category, created 2014-05-02, last commit 2023-01-28, main language C  
+<sub><sup>cryptography, python, security</sup></sub>
 
 
-### [funcy](https://github.com/suor/funcy) by [suor](https://github.com/suor)  
-funcy: A fancy and practical functional tools  
-[https://github.com/suor/funcy](https://github.com/suor/funcy)  
-5.51 stars per week over 529 weeks  
-2,919 stars, 133 forks, 73 watches  
-[util](categories/util.md) category, created 2012-10-13, last commit 2022-08-25, main language Python  
-<sub><sup>functional-programming, python, utilities</sup></sub>
+### [quart](https://github.com/pallets/quart) by [pallets](https://github.com/pallets)  
+quart: An async Python micro framework for building web applications.   
+[https://quart.palletsprojects.com](https://quart.palletsprojects.com)  
+[https://github.com/pallets/quart](https://github.com/pallets/quart)  
+5.94 stars per week over 277 weeks  
+1,646 stars, 100 forks, 26 watches  
+[web](categories/web.md) category, created 2017-11-10, last commit 2023-02-12, main language Python  
+<sub><sup>asgi, asyncio, http-server, python, quart</sup></sub>
 
 
-### [qgrid](https://github.com/quantopian/qgrid) by [quantopian](https://github.com/quantopian)  
-qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks  
-[https://github.com/quantopian/qgrid](https://github.com/quantopian/qgrid)  
-6.82 stars per week over 427 weeks  
-2,915 stars, 416 forks, 89 watches  
-[jupyter](categories/jupyter.md) category, created 2014-09-30, last commit 2020-04-07, main language Python  
+### [transitions](https://github.com/pytransitions/transitions) by [pytransitions](https://github.com/pytransitions)  
+transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions  
+[https://github.com/pytransitions/transitions](https://github.com/pytransitions/transitions)  
+10 stars per week over 438 weeks  
+4,779 stars, 511 forks, 91 watches  
+[util](categories/util.md) category, created 2014-10-12, last commit 2023-01-06, main language Python  
+<sub><sup>hierarchical-state-machine, nested-states, python, state-diagram, state-machine</sup></sub>
 
 
-### [evidently](https://github.com/evidentlyai/evidently) by [evidentlyai](https://github.com/evidentlyai)  
-evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b  
-[https://github.com/evidentlyai/evidently](https://github.com/evidentlyai/evidently)  
-27 stars per week over 106 weeks  
-2,913 stars, 317 forks, 32 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-11-25, last commit 2022-12-06, main language Python  
-<sub><sup>data-drift, data-science, hacktoberfest, html-report, jupyter-notebook, machine-learning, machine-learning-operations, mlops, model-monitoring, pandas-dataframe, production-machine-learning</sup></sub>
+### [TabPFN](https://github.com/automl/tabpfn) by [automl](https://github.com/automl)  
+TabPFN: Official implementation of the TabPFN and the tabpfn package.  
+[https://arxiv.org/abs/2207.01848](https://arxiv.org/abs/2207.01848)  
+[https://github.com/automl/tabpfn](https://github.com/automl/tabpfn)  
+19 stars per week over 35 weeks  
+701 stars, 49 forks, 16 watches  
+[ml](categories/ml.md) category, created 2022-07-01, last commit 2023-03-02, main language Python  
 
 
-### [aim](https://github.com/aimhubio/aim) by [aimhubio](https://github.com/aimhubio)  
-Aim 💫 — easy-to-use and performant open-source ML experiment tracker.  
-[https://aimstack.io](https://aimstack.io)  
-[https://github.com/aimhubio/aim](https://github.com/aimhubio/aim)  
-15 stars per week over 183 weeks  
-2,903 stars, 178 forks, 35 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-05-31, last commit 2022-12-06, main language TypeScript  
-<sub><sup>ai, data-science, data-visualization, experiment-tracking, machine-learning, metadata, metadata-tracking, ml, mlflow, mlops, python, pytorch, tensorboard, tensorflow, visualization</sup></sub>
+### [flower](https://github.com/mher/flower) by [mher](https://github.com/mher)  
+flower: Real-time monitor and web admin for Celery distributed task queue  
+[https://flower.readthedocs.io](https://flower.readthedocs.io)  
+[https://github.com/mher/flower](https://github.com/mher/flower)  
+10 stars per week over 556 weeks  
+5,581 stars, 1,001 forks, 143 watches  
+[perf](categories/perf.md) category, created 2012-07-08, last commit 2022-11-14, main language Python  
+<sub><sup>administration, asynchronous, celery, monitoring, python, rabbitmq, redis, task-queue, workers</sup></sub>
 
 
-### [flyte](https://github.com/flyteorg/flyte) by [flyteorg](https://github.com/flyteorg)  
-flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.  
-[https://flyte.org](https://flyte.org)  
-[https://github.com/flyteorg/flyte](https://github.com/flyteorg/flyte)  
-17 stars per week over 163 weeks  
-2,896 stars, 304 forks, 266 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-10-21, last commit 2022-12-05, main language Python  
-<sub><sup>battle-tested, data, data-analysis, data-science, dataops, declarative, flyte, golang, grpc, hacktoberfest, kubernetes, kubernetes-operator, machine-learning, mlops, orchestration-engine, production, production-grade, python, scale, workflow</sup></sub>
+### [praw](https://github.com/praw-dev/praw) by [praw-dev](https://github.com/praw-dev)  
+PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
+[http://praw.readthedocs.io/](http://praw.readthedocs.io/)  
+[https://github.com/praw-dev/praw](https://github.com/praw-dev/praw)  
+4.6 stars per week over 654 weeks  
+3,012 stars, 450 forks, 71 watches  
+[data](categories/data.md) category, created 2010-08-19, last commit 2023-02-25, main language Python  
+<sub><sup>api, oauth, praw, python, reddit, reddit-api</sup></sub>
 
 
-### [cerberus](https://github.com/pyeve/cerberus) by [pyeve](https://github.com/pyeve)  
-cerberus: Lightweight, extensible data validation library for Python  
-[http://python-cerberus.org](http://python-cerberus.org)  
-[https://github.com/pyeve/cerberus](https://github.com/pyeve/cerberus)  
-5.44 stars per week over 530 weeks  
-2,884 stars, 226 forks, 48 watches  
-[data](categories/data.md) category, created 2012-10-10, last commit 2021-05-05, main language Python  
-<sub><sup>data-validation, python</sup></sub>
+### [filesystem_spec](https://github.com/fsspec/filesystem_spec) by [fsspec](https://github.com/fsspec)  
+filesystem_spec: A specification that python filesystems should adhere to.  
+[https://github.com/fsspec/filesystem_spec](https://github.com/fsspec/filesystem_spec)  
+2.18 stars per week over 253 weeks  
+553 stars, 239 forks, 22 watches  
+[util](categories/util.md) category, created 2018-04-23, last commit 2023-03-04, main language Python  
 
 
-### [datashader](https://github.com/holoviz/datashader) by [holoviz](https://github.com/holoviz)  
-datashader: Quickly and accurately render even the largest data.  
-[http://datashader.org](http://datashader.org)  
-[https://github.com/holoviz/datashader](https://github.com/holoviz/datashader)  
-7.94 stars per week over 363 weeks  
-2,882 stars, 360 forks, 94 watches  
-[gis](categories/gis.md) category, created 2015-12-23, last commit 2022-11-17, main language Python  
-<sub><sup>data-visualizations, datashader, holoviz, rasterization</sup></sub>
+### [gefyra](https://github.com/gefyrahq/gefyra) by [gefyrahq](https://github.com/gefyrahq)  
+gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.  
+[https://gefyra.dev](https://gefyra.dev)  
+[https://github.com/gefyrahq/gefyra](https://github.com/gefyrahq/gefyra)  
+6.29 stars per week over 67 weeks  
+424 stars, 23 forks, 7 watches  
+[util](categories/util.md) category, created 2021-11-18, last commit 2023-02-22, main language Python  
+<sub><sup>coding, containers, developer-tool, development, docker, k8s, kubernetes, tunnel</sup></sub>
+
+
+### [pyscaffold](https://github.com/pyscaffold/pyscaffold)  
+pyscaffold: 🛠 Python project template generator with batteries included  
+[https://pyscaffold.org](https://pyscaffold.org)  
+[https://github.com/pyscaffold/pyscaffold](https://github.com/pyscaffold/pyscaffold)  
+3.73 stars per week over 465 weeks  
+1,736 stars, 172 forks, 40 watches  
+[template](categories/template.md) category, created 2014-04-02, last commit 2023-02-21, main language Python  
+<sub><sup>distribution, git, package, package-creation, project-template, python, release-automation, template-project</sup></sub>
 
 
 ### [glow](https://github.com/pytorch/glow) by [pytorch](https://github.com/pytorch)  
 glow: Compiler for Neural Network hardware accelerators  
 [https://github.com/pytorch/glow](https://github.com/pytorch/glow)  
-10 stars per week over 270 weeks  
-2,880 stars, 654 forks, 154 watches  
-[ml](categories/ml.md) category, created 2017-09-29, last commit 2022-12-05, main language C++  
+10 stars per week over 283 weeks  
+2,920 stars, 665 forks, 155 watches  
+[ml](categories/ml.md) category, created 2017-09-29, last commit 2023-02-22, main language C++  
 
 
-### [glide-text2im](https://github.com/openai/glide-text2im) by [openai](https://github.com/openai)  
-glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model  
-[https://github.com/openai/glide-text2im](https://github.com/openai/glide-text2im)  
-55 stars per week over 51 weeks  
-2,878 stars, 401 forks, 116 watches  
-[diffusion](categories/diffusion.md) category, created 2021-12-10, last commit 2022-03-21, main language Python  
+### [typeguard](https://github.com/agronholm/typeguard) by [agronholm](https://github.com/agronholm)  
+typeguard: Run-time type checker for Python  
+[https://github.com/agronholm/typeguard](https://github.com/agronholm/typeguard)  
+2.98 stars per week over 375 weeks  
+1,117 stars, 82 forks, 16 watches  
+[typing](categories/typing.md) category, created 2015-12-27, last commit 2023-03-01, main language Python  
 
 
-### [vissl](https://github.com/facebookresearch/vissl) by [facebookresearch](https://github.com/facebookresearch)  
-VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.  
-[https://vissl.ai](https://vissl.ai)  
-[https://github.com/facebookresearch/vissl](https://github.com/facebookresearch/vissl)  
-20 stars per week over 138 weeks  
-2,866 stars, 299 forks, 53 watches  
-[ml](categories/ml.md) category, created 2020-04-09, last commit 2022-10-12, main language Jupyter Notebook  
+### [jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp) by [jupyter-lsp](https://github.com/jupyter-lsp)  
+jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol  
+[https://github.com/jupyter-lsp/jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp)  
+7.75 stars per week over 185 weeks  
+1,434 stars, 119 forks, 17 watches  
+[jupyter](categories/jupyter.md) category, created 2019-08-17, last commit 2023-01-02, main language TypeScript  
+<sub><sup>autocompletion, ipython, julia-language, jupyter, jupyter-lab, jupyter-notebook, jupyterlab, jupyterlab-extension, language-server-protocol, linter, lsp, notebook, notebook-jupyter, r</sup></sub>
 
 
-### [ploomber](https://github.com/ploomber/ploomber)  
-ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️  
-[https://ploomber.io](https://ploomber.io)  
-[https://github.com/ploomber/ploomber](https://github.com/ploomber/ploomber)  
-19 stars per week over 150 weeks  
-2,856 stars, 196 forks, 27 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-01-20, last commit 2022-11-22, main language Python  
-<sub><sup>data-engineering, data-science, hacktoberfest, jupyter, jupyter-notebooks, machine-learning, mlops, notebooks, papermill, pipelines, pycharm, vscode, workflow</sup></sub>
+### [pyspider](https://github.com/binux/pyspider) by [binux](https://github.com/binux)  
+pyspider: A Powerful Spider(Web Crawler) System in Python.  
+[http://docs.pyspider.org/](http://docs.pyspider.org/)  
+[https://github.com/binux/pyspider](https://github.com/binux/pyspider)  
+33 stars per week over 471 weeks  
+15,758 stars, 3,673 forks, 905 watches  
+[data](categories/data.md) category, created 2014-02-21, last commit 2020-08-02, main language Python  
+<sub><sup>crawler, python</sup></sub>
 
 
-### [more-itertools](https://github.com/more-itertools/more-itertools)  
-more-itertools: More routines for operating on iterables, beyond itertools  
-[https://more-itertools.rtfd.io](https://more-itertools.rtfd.io)  
-[https://github.com/more-itertools/more-itertools](https://github.com/more-itertools/more-itertools)  
-5.08 stars per week over 553 weeks  
-2,811 stars, 220 forks, 34 watches  
-[util](categories/util.md) category, created 2012-04-26, last commit 2022-12-05, main language Python  
+### [scikit-lego](https://github.com/koaning/scikit-lego) by [koaning](https://github.com/koaning)  
+scikit-lego: Extra blocks for scikit-learn pipelines.  
+[https://scikit-lego.netlify.app](https://scikit-lego.netlify.app)  
+[https://github.com/koaning/scikit-lego](https://github.com/koaning/scikit-lego)  
+4.55 stars per week over 214 weeks  
+978 stars, 102 forks, 19 watches  
+[ml](categories/ml.md) category, created 2019-01-21, last commit 2023-03-04, main language Python  
+<sub><sup>common-sense, machine-learning, scikit-learn</sup></sub>
 
 
-### [qiskit](https://github.com/qiskit/qiskit)  
-Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.  
-[https://qiskit.org](https://qiskit.org)  
-[https://github.com/qiskit/qiskit](https://github.com/qiskit/qiskit)  
-13 stars per week over 208 weeks  
-2,805 stars, 759 forks, 97 watches  
-[sim](categories/sim.md) category, created 2018-12-12, last commit 2022-12-02, main language OpenQASM  
-<sub><sup>documentation, qiskit, quantum-computing, quantum-programming-language</sup></sub>
+### [tensorly](https://github.com/tensorly/tensorly)  
+TensorLy: Tensor Learning in Python.  
+[http://tensorly.org](http://tensorly.org)  
+[https://github.com/tensorly/tensorly](https://github.com/tensorly/tensorly)  
+4.13 stars per week over 332 weeks  
+1,371 stars, 269 forks, 46 watches  
+[ml](categories/ml.md) category, created 2016-10-21, last commit 2023-02-16, main language Python  
+<sub><sup>cupy, decomposition, jax, machine-learning, mxnet, numpy, python, pytorch, regression, tensor, tensor-algebra, tensor-decomposition, tensor-factorization, tensor-learning, tensor-methods, tensor-regression, tensorflow, tensorly</sup></sub>
 
 
-### [Merlion](https://github.com/salesforce/merlion) by [salesforce](https://github.com/salesforce)  
-Merlion: A Machine Learning Framework for Time Series Intelligence  
-[https://github.com/salesforce/merlion](https://github.com/salesforce/merlion)  
-39 stars per week over 71 weeks  
-2,800 stars, 240 forks, 45 watches  
-[time-series](categories/time-series.md) category, created 2021-07-28, last commit 2022-12-07, main language Python  
-<sub><sup>anomaly-detection, automl, benchmarking, ensemble-learning, forecasting, machine-learning, time-series</sup></sub>
+### [asyncer](https://github.com/tiangolo/asyncer) by [tiangolo](https://github.com/tiangolo)  
+Asyncer, async and await, focused on developer experience.  
+[https://asyncer.tiangolo.com/](https://asyncer.tiangolo.com/)  
+[https://github.com/tiangolo/asyncer](https://github.com/tiangolo/asyncer)  
+15 stars per week over 60 weeks  
+964 stars, 38 forks, 15 watches  
+[perf](categories/perf.md) category, created 2022-01-04, last commit 2023-02-21, main language Python  
+<sub><sup>anyio, async, asyncio, python, trio</sup></sub>
 
 
-### [book](https://github.com/cosmicpython/book) by [cosmicpython](https://github.com/cosmicpython)  
-book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.  
-[https://www.cosmicpython.com](https://www.cosmicpython.com)  
-[https://github.com/cosmicpython/book](https://github.com/cosmicpython/book)  
-13 stars per week over 200 weeks  
-2,789 stars, 480 forks, 92 watches  
-[study](categories/study.md) category, created 2019-02-05, last commit 2022-10-03, main language Python  
+### [toolz](https://github.com/pytoolz/toolz) by [pytoolz](https://github.com/pytoolz)  
+toolz: A functional standard library for Python.  
+[http://toolz.readthedocs.org/](http://toolz.readthedocs.org/)  
+[https://github.com/pytoolz/toolz](https://github.com/pytoolz/toolz)  
+8.46 stars per week over 494 weeks  
+4,180 stars, 249 forks, 82 watches  
+[util](categories/util.md) category, created 2013-09-13, last commit 2022-11-03, main language Python  
 
 
-### [PandasGUI](https://github.com/adamerose/pandasgui) by [adamerose](https://github.com/adamerose)  
-PandasGUI: A GUI for Pandas DataFrames  
-[https://github.com/adamerose/pandasgui](https://github.com/adamerose/pandasgui)  
-15 stars per week over 182 weeks  
-2,786 stars, 189 forks, 53 watches  
-[pandas](categories/pandas.md) category, created 2019-06-12, last commit 2022-03-16, main language Python  
-<sub><sup>dataframe, gui, pandas, viewer</sup></sub>
+### [pytest-xdist](https://github.com/pytest-dev/pytest-xdist) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes.   
+[https://pytest-xdist.readthedocs.io](https://pytest-xdist.readthedocs.io)  
+[https://github.com/pytest-dev/pytest-xdist](https://github.com/pytest-dev/pytest-xdist)  
+2.81 stars per week over 391 weeks  
+1,100 stars, 192 forks, 47 watches  
+[testing](categories/testing.md) category, created 2015-09-01, last commit 2023-02-27, main language Python  
+<sub><sup>hacktoberfest, pytest, pytest-plugin</sup></sub>
 
 
-### [stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity) by [lkwq007](https://github.com/lkwq007)  
-stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas  
-[https://github.com/lkwq007/stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity)  
-203 stars per week over 13 weeks  
-2,784 stars, 210 forks, 29 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-02, last commit 2022-12-07, main language Python  
-<sub><sup>outpainting, stablediffusion</sup></sub>
+### [omegaconf](https://github.com/omry/omegaconf) by [omry](https://github.com/omry)  
+omegaconf: Flexible Python configuration system. The last one you will ever need.  
+[https://github.com/omry/omegaconf](https://github.com/omry/omegaconf)  
+6.04 stars per week over 234 weeks  
+1,419 stars, 74 forks, 16 watches  
+[util](categories/util.md) category, created 2018-09-03, last commit 2022-12-20, main language Python  
+<sub><sup>configuration-files, configuration-loader, python, python-types, schema-validator, yaml, yaml-configuration</sup></sub>
 
 
-### [strawberry](https://github.com/strawberry-graphql/strawberry) by [strawberry-graphql](https://github.com/strawberry-graphql)  
-strawberry: A GraphQL library for Python that leverages type annotations 🍓  
-[https://strawberry.rocks](https://strawberry.rocks)  
-[https://github.com/strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry)  
-13 stars per week over 206 weeks  
-2,776 stars, 340 forks, 43 watches  
-[web](categories/web.md) category, created 2018-12-21, last commit 2022-12-07, main language Python  
-<sub><sup>asgi, asyncio, django, graphql, graphql-library, graphql-schema, graphql-server, hacktoberfest, mypy, python, starlette, strawberry</sup></sub>
+### [spacy-transformers](https://github.com/explosion/spacy-transformers) by [explosion](https://github.com/explosion)  
+spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy  
+[https://spacy.io/usage/embeddings-transformers](https://spacy.io/usage/embeddings-transformers)  
+[https://github.com/explosion/spacy-transformers](https://github.com/explosion/spacy-transformers)  
+6.45 stars per week over 188 weeks  
+1,214 stars, 156 forks, 30 watches  
+[nlp](categories/nlp.md) category, created 2019-07-26, last commit 2023-03-03, main language Python  
+<sub><sup>bert, google, gpt-2, huggingface, language-model, machine-learning, natural-language-processing, natural-language-understanding, nlp, openai, pytorch, pytorch-model, spacy, spacy-extension, spacy-pipeline, transfer-learning, xlnet</sup></sub>
 
 
-### [xarray](https://github.com/pydata/xarray) by [pydata](https://github.com/pydata)  
-xarray: N-D labeled arrays and datasets in Python  
-[https://xarray.dev](https://xarray.dev)  
-[https://github.com/pydata/xarray](https://github.com/pydata/xarray)  
-5.79 stars per week over 479 weeks  
-2,775 stars, 853 forks, 106 watches  
-[util](categories/util.md) category, created 2013-09-30, last commit 2022-12-04, main language Python  
-<sub><sup>dask, netcdf, numpy, pandas, python, xarray</sup></sub>
+### [quantstats](https://github.com/ranaroussi/quantstats) by [ranaroussi](https://github.com/ranaroussi)  
+quantstats: Portfolio analytics for quants, written in Python  
+[https://github.com/ranaroussi/quantstats](https://github.com/ranaroussi/quantstats)  
+14 stars per week over 200 weeks  
+2,862 stars, 570 forks, 86 watches  
+[finance](categories/finance.md) category, created 2019-05-01, last commit 2022-07-05, main language Python  
+<sub><sup>algo-trading, algorithmic-trading, algotrading, finance, plotting, python, quant, quantitative-analysis, quantitative-finance, quantitative-trading, visualization</sup></sub>
 
 
-### [AITemplate](https://github.com/facebookincubator/aitemplate) by [facebookincubator](https://github.com/facebookincubator)  
-AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.  
-[https://github.com/facebookincubator/aitemplate](https://github.com/facebookincubator/aitemplate)  
-133 stars per week over 20 weeks  
-2,764 stars, 180 forks, 78 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-07-15, last commit 2022-12-02, main language Python  
+### [python-dependency-injector](https://github.com/ets-labs/python-dependency-injector) by [ets-labs](https://github.com/ets-labs)  
+python-dependency-injector: Dependency injection framework for Python  
+[https://python-dependency-injector.ets-labs.org/](https://python-dependency-injector.ets-labs.org/)  
+[https://github.com/ets-labs/python-dependency-injector](https://github.com/ets-labs/python-dependency-injector)  
+6.35 stars per week over 426 weeks  
+2,706 stars, 204 forks, 46 watches  
+[util](categories/util.md) category, created 2015-01-04, last commit 2022-12-19, main language Python  
+<sub><sup>aiohttp, asyncio, dependency-injection, dependency-injection-container, dependency-injection-framework, design-patterns, factory, flask, flask-application, flask-restful, ioc, ioc-container, python, python-2, python-3, python3, singleton, threadlocal</sup></sub>
 
 
-### [opyrator](https://github.com/ml-tooling/opyrator) by [ml-tooling](https://github.com/ml-tooling)  
-opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.  
-[https://opyrator-playground.mltooling.org](https://opyrator-playground.mltooling.org)  
-[https://github.com/ml-tooling/opyrator](https://github.com/ml-tooling/opyrator)  
-31 stars per week over 87 weeks  
-2,749 stars, 132 forks, 48 watches  
-[viz](categories/viz.md) category, created 2021-04-06, last commit 2021-05-06, main language Python  
-<sub><sup>deployment, faas, fastapi, functions, machine-learning, microservices, pydantic, python, python-functions, serverless, streamlit, type-hints</sup></sub>
+### [layout-parser](https://github.com/layout-parser/layout-parser)  
+layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis  
+[https://layout-parser.github.io/](https://layout-parser.github.io/)  
+[https://github.com/layout-parser/layout-parser](https://github.com/layout-parser/layout-parser)  
+24 stars per week over 142 weeks  
+3,499 stars, 350 forks, 60 watches  
+[nlp](categories/nlp.md) category, created 2020-06-10, last commit 2022-08-06, main language Python  
+<sub><sup>computer-vision, deep-learning, detectron2, document-image-processing, document-layout-analysis, layout-analysis, layout-detection, layout-parser, object-detection, ocr</sup></sub>
 
 
-### [composer](https://github.com/mosaicml/composer) by [mosaicml](https://github.com/mosaicml)  
-composer: Train neural networks up to 7x faster  
-[http://docs.mosaicml.com](http://docs.mosaicml.com)  
-[https://github.com/mosaicml/composer](https://github.com/mosaicml/composer)  
-45 stars per week over 60 weeks  
-2,738 stars, 169 forks, 22 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-10-12, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, machine-learning, ml-efficiency, ml-systems, ml-training, neural-network, neural-networks, pytorch</sup></sub>
+### [pyjanitor](https://github.com/pyjanitor-devs/pyjanitor) by [pyjanitor-devs](https://github.com/pyjanitor-devs)  
+pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor  
+[https://pyjanitor-devs.github.io/pyjanitor](https://pyjanitor-devs.github.io/pyjanitor)  
+[https://github.com/pyjanitor-devs/pyjanitor](https://github.com/pyjanitor-devs/pyjanitor)  
+4.27 stars per week over 261 weeks  
+1,115 stars, 159 forks, 21 watches  
+[pandas](categories/pandas.md) category, created 2018-03-04, last commit 2023-03-03, main language Python  
+<sub><sup>cleaning-data, data, data-engineering, dataframe, hacktoberfest, pandas, pydata</sup></sub>
 
 
-### [behave](https://github.com/behave/behave)  
-behave: BDD, Python style.  
-[https://github.com/behave/behave](https://github.com/behave/behave)  
-4.71 stars per week over 580 weeks  
-2,733 stars, 608 forks, 119 watches  
-[testing](categories/testing.md) category, created 2011-10-25, last commit 2022-11-23, main language Python  
+### [PynamoDB](https://github.com/pynamodb/pynamodb) by [pynamodb](https://github.com/pynamodb)  
+PynamoDB: A pythonic interface to Amazon's DynamoDB  
+[http://pynamodb.readthedocs.io](http://pynamodb.readthedocs.io)  
+[https://github.com/pynamodb/pynamodb](https://github.com/pynamodb/pynamodb)  
+4.47 stars per week over 475 weeks  
+2,126 stars, 418 forks, 41 watches  
+[data](categories/data.md) category, created 2014-01-20, last commit 2023-02-28, main language Python  
+<sub><sup>aws, dynamodb, python</sup></sub>
 
 
-### [viztracer](https://github.com/gaogaotiantian/viztracer) by [gaogaotiantian](https://github.com/gaogaotiantian)  
-VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.  
-[https://viztracer.readthedocs.io/](https://viztracer.readthedocs.io/)  
-[https://github.com/gaogaotiantian/viztracer](https://github.com/gaogaotiantian/viztracer)  
-22 stars per week over 122 weeks  
-2,732 stars, 275 forks, 37 watches  
-[profiling](categories/profiling.md) category, created 2020-08-05, last commit 2022-11-24, main language Python  
-<sub><sup>debugging, flamegraph, logging, profiling, python, python3, tracer, visualization</sup></sub>
+### [nbQA](https://github.com/nbqa-dev/nbqa) by [nbqa-dev](https://github.com/nbqa-dev)  
+nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks  
+[https://nbqa.readthedocs.io/en/latest/index.html](https://nbqa.readthedocs.io/en/latest/index.html)  
+[https://github.com/nbqa-dev/nbqa](https://github.com/nbqa-dev/nbqa)  
+5.13 stars per week over 138 weeks  
+709 stars, 35 forks, 7 watches  
+[jupyter](categories/jupyter.md) category, created 2020-07-11, last commit 2023-02-27, main language Python  
+<sub><sup>black, codequality, doctest, flake8, isort, jupyter-notebook, lint, mypy, pre-commit, pre-commit-hook, pylint, python, pyupgrade, yapf</sup></sub>
 
 
-### [neural_prophet](https://github.com/ourownstory/neural_prophet) by [ourownstory](https://github.com/ourownstory)  
-neural_prophet: NeuralProphet: A simple forecasting package  
-[https://neuralprophet.com](https://neuralprophet.com)  
-[https://github.com/ourownstory/neural_prophet](https://github.com/ourownstory/neural_prophet)  
-19 stars per week over 135 weeks  
-2,674 stars, 360 forks, 48 watches  
-[ml](categories/ml.md) category, created 2020-05-04, last commit 2022-12-07, main language Python  
-<sub><sup>artificial-intelligence, autoregression, deep-learning, fbprophet, forecast, forecasting, forecasting-algorithm, forecasting-model, machine-learning, neural, neural-network, neuralprophet, prediction, prophet, python, pytorch, seasonality, time-series, timeseries, trend</sup></sub>
+### [python-bigquery](https://github.com/googleapis/python-bigquery) by [googleapis](https://github.com/googleapis)  
+googleapis/python-bigquery  
+[https://github.com/googleapis/python-bigquery](https://github.com/googleapis/python-bigquery)  
+3.4 stars per week over 168 weeks  
+573 stars, 233 forks, 58 watches  
+[data](categories/data.md) category, created 2019-12-10, last commit 2023-03-04, main language Python  
 
 
-### [texthero](https://github.com/jbesomi/texthero) by [jbesomi](https://github.com/jbesomi)  
-texthero: Text preprocessing, representation and visualization from zero to hero.  
-[https://texthero.org](https://texthero.org)  
-[https://github.com/jbesomi/texthero](https://github.com/jbesomi/texthero)  
-18 stars per week over 139 weeks  
-2,635 stars, 222 forks, 44 watches  
-[nlp](categories/nlp.md) category, created 2020-04-06, last commit 2022-10-28, main language Python  
-<sub><sup>machine-learning, nlp, nlp-pipeline, text-clustering, text-mining, text-preprocessing, text-representation, text-visualization, texthero, word-embeddings</sup></sub>
+### [BlenderGIS](https://github.com/domlysz/blendergis) by [domlysz](https://github.com/domlysz)  
+BlenderGIS: Blender addons to make the bridge between Blender and geographic data  
+[https://github.com/domlysz/blendergis](https://github.com/domlysz/blendergis)  
+13 stars per week over 460 weeks  
+6,075 stars, 1,134 forks, 245 watches  
+[gis](categories/gis.md) category, created 2014-05-08, last commit 2022-05-31, main language Python  
+<sub><sup>3d, 3d-map, 3dgis, addon, basemap, blender, delaunay-triangulation, dem, geodata, georeferencing, geospatial, gis, importexport, map, openstreetmap, python, raster, shapefile, terrain-model</sup></sub>
 
 
-### [thinc](https://github.com/explosion/thinc) by [explosion](https://github.com/explosion)  
-thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries  
-[https://thinc.ai](https://thinc.ai)  
-[https://github.com/explosion/thinc](https://github.com/explosion/thinc)  
-6.18 stars per week over 424 weeks  
-2,627 stars, 259 forks, 85 watches  
-[ml-dl](categories/ml-dl.md) category, created 2014-10-16, last commit 2022-11-30, main language Python  
-<sub><sup>ai, artificial-intelligence, deep-learning, functional-programming, jax, machine-learning, machine-learning-library, mxnet, natural-language-processing, nlp, python, pytorch, spacy, tensorflow, type-checking</sup></sub>
+### [QuantEcon.py](https://github.com/quantecon/quantecon.py) by [quantecon](https://github.com/quantecon)  
+QuantEcon.py: A community based Python library for quantitative economics  
+[https://quantecon.org/quantecon-py/](https://quantecon.org/quantecon-py/)  
+[https://github.com/quantecon/quantecon.py](https://github.com/quantecon/quantecon.py)  
+3.1 stars per week over 519 weeks  
+1,611 stars, 2,147 forks, 147 watches  
+[sim](categories/sim.md) category, created 2013-03-22, last commit 2023-02-24, main language Python  
 
 
-### [neuralcoref](https://github.com/huggingface/neuralcoref) by [huggingface](https://github.com/huggingface)  
-neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks  
-[https://huggingface.co/coref/](https://huggingface.co/coref/)  
-[https://github.com/huggingface/neuralcoref](https://github.com/huggingface/neuralcoref)  
-9.27 stars per week over 283 weeks  
-2,627 stars, 460 forks, 94 watches  
-[nlp](categories/nlp.md) category, created 2017-07-03, last commit 2021-06-22, main language C  
-<sub><sup>coreference, coreference-resolution, machine-learning, neural-networks, nlp, python, pytorch, spacy, spacy-extension, spacy-pipeline</sup></sub>
+### [gpt-neo](https://github.com/eleutherai/gpt-neo) by [eleutherai](https://github.com/eleutherai)  
+gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.  
+[https://www.eleuther.ai](https://www.eleuther.ai)  
+[https://github.com/eleutherai/gpt-neo](https://github.com/eleutherai/gpt-neo)  
+51 stars per week over 139 weeks  
+7,211 stars, 723 forks, 170 watches  
+[nlp](categories/nlp.md) category, created 2020-07-05, last commit 2022-02-25, main language Python  
+<sub><sup>gpt, gpt-2, gpt-3, language-model, transformers</sup></sub>
 
 
-### [eli5](https://github.com/teamhg-memex/eli5) by [teamhg-memex](https://github.com/teamhg-memex)  
-eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions  
-[http://eli5.readthedocs.io](http://eli5.readthedocs.io)  
-[https://github.com/teamhg-memex/eli5](https://github.com/teamhg-memex/eli5)  
-8.04 stars per week over 324 weeks  
-2,611 stars, 326 forks, 68 watches  
-[ml](categories/ml.md) category, created 2016-09-15, last commit 2020-01-22, main language Jupyter Notebook  
-<sub><sup>crfsuite, data-science, explanation, inspection, lightgbm, machine-learning, nlp, python, scikit-learn, xgboost</sup></sub>
+### [memory_profiler](https://github.com/pythonprofilers/memory_profiler) by [pythonprofilers](https://github.com/pythonprofilers)  
+memory_profiler: Monitor Memory usage of Python code  
+[http://pypi.python.org/pypi/memory_profiler](http://pypi.python.org/pypi/memory_profiler)  
+[https://github.com/pythonprofilers/memory_profiler](https://github.com/pythonprofilers/memory_profiler)  
+6.37 stars per week over 594 weeks  
+3,788 stars, 366 forks, 76 watches  
+[profiling](categories/profiling.md) category, created 2011-10-14, last commit 2022-12-06, main language Python  
 
 
-### [pandarallel](https://github.com/nalepae/pandarallel) by [nalepae](https://github.com/nalepae)  
-pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs  
-[https://nalepae.github.io/pandarallel](https://nalepae.github.io/pandarallel)  
-[https://github.com/nalepae/pandarallel](https://github.com/nalepae/pandarallel)  
-13 stars per week over 195 weeks  
-2,609 stars, 161 forks, 25 watches  
-[pandas](categories/pandas.md) category, created 2019-03-10, last commit 2022-12-06, main language Python  
-<sub><sup>pandas, parallel, python</sup></sub>
+### [mesa](https://github.com/projectmesa/mesa) by [projectmesa](https://github.com/projectmesa)  
+Mesa is an agent-based modeling framework in Python  
+[https://github.com/projectmesa/mesa](https://github.com/projectmesa/mesa)  
+4.13 stars per week over 441 weeks  
+1,823 stars, 758 forks, 89 watches  
+[sim](categories/sim.md) category, created 2014-09-19, last commit 2023-02-10, main language Python  
+<sub><sup>agent-based-modeling, agent-based-simulation, complex-systems, complexity-analysis, gis, mesa, modeling-agents, simulation, simulation-environment, simulation-framework, spatial-models</sup></sub>
 
 
-### [itsdangerous](https://github.com/pallets/itsdangerous) by [pallets](https://github.com/pallets)  
-itsdangerous: Safely pass trusted data to untrusted environments and back.  
-[https://itsdangerous.palletsprojects.com](https://itsdangerous.palletsprojects.com)  
-[https://github.com/pallets/itsdangerous](https://github.com/pallets/itsdangerous)  
-4.33 stars per week over 597 weeks  
-2,589 stars, 212 forks, 57 watches  
-[data](categories/data.md) category, created 2011-06-24, last commit 2022-11-01, main language Python  
-<sub><sup>hmac, itsdangerous, pallets, python, security, serialization</sup></sub>
+### [imodels](https://github.com/csinva/imodels) by [csinva](https://github.com/csinva)  
+imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).  
+[https://csinva.io/imodels](https://csinva.io/imodels)  
+[https://github.com/csinva/imodels](https://github.com/csinva/imodels)  
+5.51 stars per week over 191 weeks  
+1,054 stars, 97 forks, 24 watches  
+[ml](categories/ml.md) category, created 2019-07-04, last commit 2023-02-12, main language Jupyter Notebook  
+<sub><sup>ai, artificial-intelligence, bayesian-rule-list, data-science, explainable-ai, explainable-ml, imodels, interpretability, machine-learning, ml, optimal-classification-tree, python, rule-learning, rulefit, rules, scikit-learn, statistics, supervised-learning</sup></sub>
 
 
-### [stellargraph](https://github.com/stellargraph/stellargraph)  
-StellarGraph - Machine Learning on Graphs  
-[https://stellargraph.readthedocs.io/](https://stellargraph.readthedocs.io/)  
-[https://github.com/stellargraph/stellargraph](https://github.com/stellargraph/stellargraph)  
-10 stars per week over 242 weeks  
-2,562 stars, 395 forks, 62 watches  
-[graph](categories/graph.md) category, created 2018-04-13, last commit 2021-10-29, main language Python  
-<sub><sup>data-science, deep-learning, gcn, geometric-deep-learning, graph-analysis, graph-convolutional-networks, graph-data, graph-machine-learning, graph-neural-networks, graphs, heterogeneous-networks, interpretability, link-prediction, machine-learning, machine-learning-algorithms, networkx, python, saliency-map, stellargraph-library</sup></sub>
+### [graphein](https://github.com/a-r-j/graphein) by [a-r-j](https://github.com/a-r-j)  
+graphein: Protein Graph Library  
+[https://graphein.ai/](https://graphein.ai/)  
+[https://github.com/a-r-j/graphein](https://github.com/a-r-j/graphein)  
+4.11 stars per week over 183 weeks  
+754 stars, 97 forks, 16 watches  
+[sim](categories/sim.md) category, created 2019-08-28, last commit 2023-02-21, main language Jupyter Notebook  
+<sub><sup>bioinformatics, computational-biology, deep-learning, dgl, drug-discovery, gene-regulatory-networks, geometric-deep-learning, graph-neural-networks, interactome, interactomics, ppi-networks, protein, protein-data-bank, protein-design, protein-structure, python, pytorch, pytorch-geometric, rna, structural-biology</sup></sub>
 
 
-### [Pretrained-Language-Model](https://github.com/huawei-noah/pretrained-language-model) by [huawei-noah](https://github.com/huawei-noah)  
-Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.  
-[https://github.com/huawei-noah/pretrained-language-model](https://github.com/huawei-noah/pretrained-language-model)  
-16 stars per week over 157 weeks  
-2,552 stars, 546 forks, 52 watches  
-[nlp](categories/nlp.md) category, created 2019-12-02, last commit 2022-11-21, main language Python  
-<sub><sup>knowledge-distillation, large-scale-distributed, model-compression, pretrained-models, quantization</sup></sub>
+### [ipykernel](https://github.com/ipython/ipykernel) by [ipython](https://github.com/ipython)  
+ipykernel: IPython Kernel for Jupyter  
+[https://ipykernel.readthedocs.io/en/stable/](https://ipykernel.readthedocs.io/en/stable/)  
+[https://github.com/ipython/ipykernel](https://github.com/ipython/ipykernel)  
+1.3 stars per week over 412 weeks  
+536 stars, 337 forks, 34 watches  
+[util](categories/util.md) category, created 2015-04-09, last commit 2023-03-02, main language Python  
+<sub><sup>closember, ipython, ipython-kernel, jupyter, jupyter-notebook, kernel, python</sup></sub>
 
 
-### [pudb](https://github.com/inducer/pudb) by [inducer](https://github.com/inducer)  
-pudb: Full-screen console debugger for Python  
-[https://documen.tician.de/pudb/](https://documen.tician.de/pudb/)  
-[https://github.com/inducer/pudb](https://github.com/inducer/pudb)  
-4.22 stars per week over 603 weeks  
-2,547 stars, 216 forks, 45 watches  
-[debug](categories/debug.md) category, created 2011-05-13, last commit 2022-11-20, main language Python  
-<sub><sup>bpython, debug, debugger, ipython, pdb, pytest, pytest-plugin, python, urwid</sup></sub>
+### [orbit](https://github.com/uber/orbit) by [uber](https://github.com/uber)  
+orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.  
+[https://orbit-ml.readthedocs.io/en/stable/](https://orbit-ml.readthedocs.io/en/stable/)  
+[https://github.com/uber/orbit](https://github.com/uber/orbit)  
+9.76 stars per week over 164 weeks  
+1,608 stars, 120 forks, 33 watches  
+[time-series](categories/time-series.md) category, created 2020-01-07, last commit 2023-01-29, main language Python  
+<sub><sup>arima, bayesian, bayesian-methods, bayesian-statistics, changepoint, exponential-smoothing, forecast, forecasting, machine-learning, orbit, probabilistic, probabilistic-programming, pyro, pystan, python, pytorch, regression, regression-models, stan, time-series</sup></sub>
 
 
-### [Wikipedia](https://github.com/goldsmith/wikipedia) by [goldsmith](https://github.com/goldsmith)  
-Wikipedia: A Pythonic wrapper for the Wikipedia API  
-[https://wikipedia.readthedocs.org/](https://wikipedia.readthedocs.org/)  
-[https://github.com/goldsmith/wikipedia](https://github.com/goldsmith/wikipedia)  
-5.21 stars per week over 485 weeks  
-2,528 stars, 514 forks, 82 watches  
-[data](categories/data.md) category, created 2013-08-20, last commit 2020-10-09, main language Python  
+### [spinningup](https://github.com/openai/spinningup) by [openai](https://github.com/openai)  
+spinningup: An educational resource to help anyone learn deep reinforcement learning.  
+[https://spinningup.openai.com/](https://spinningup.openai.com/)  
+[https://github.com/openai/spinningup](https://github.com/openai/spinningup)  
+35 stars per week over 225 weeks  
+7,937 stars, 1,850 forks, 216 watches  
+[study](categories/study.md) category, created 2018-11-07, last commit 2020-02-07, main language Python  
 
 
-### [urwid](https://github.com/urwid/urwid)  
-urwid: Console user interface library for Python (official repo)  
-[urwid.org](urwid.org)  
-[https://github.com/urwid/urwid](https://github.com/urwid/urwid)  
-3.77 stars per week over 666 weeks  
-2,513 stars, 311 forks, 60 watches  
-[term](categories/term.md) category, created 2010-02-25, last commit 2022-07-12, main language Python  
+### [wrapt](https://github.com/grahamdumpleton/wrapt) by [grahamdumpleton](https://github.com/grahamdumpleton)  
+wrapt: A Python module for decorators, wrappers and monkey patching.  
+[https://github.com/grahamdumpleton/wrapt](https://github.com/grahamdumpleton/wrapt)  
+3.57 stars per week over 509 weeks  
+1,821 stars, 209 forks, 45 watches  
+[util](categories/util.md) category, created 2013-05-29, last commit 2023-02-27, main language Python  
 
 
-### [lightseq](https://github.com/bytedance/lightseq) by [bytedance](https://github.com/bytedance)  
-LightSeq: A High Performance Library for Sequence Processing and Generation  
-[https://github.com/bytedance/lightseq](https://github.com/bytedance/lightseq)  
-15 stars per week over 156 weeks  
-2,504 stars, 277 forks, 51 watches  
-[nlp](categories/nlp.md) category, created 2019-12-06, last commit 2022-12-07, main language C++  
-<sub><sup>accelerate, bart, beam-search, bert, cuda, diverse-decoding, gpt, inference, multilingual-nmt, sampling, training, transformer</sup></sub>
+### [anyio](https://github.com/agronholm/anyio) by [agronholm](https://github.com/agronholm)  
+anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio  
+[https://github.com/agronholm/anyio](https://github.com/agronholm/anyio)  
+5.05 stars per week over 237 weeks  
+1,196 stars, 101 forks, 26 watches  
+[perf](categories/perf.md) category, created 2018-08-19, last commit 2023-03-03, main language Python  
+<sub><sup>async-await, asyncio, curio, trio</sup></sub>
 
 
-### [flake8](https://github.com/pycqa/flake8) by [pycqa](https://github.com/pycqa)  
-flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.  
-[https://flake8.pycqa.org](https://flake8.pycqa.org)  
-[https://github.com/pycqa/flake8](https://github.com/pycqa/flake8)  
-5.82 stars per week over 429 weeks  
-2,500 stars, 255 forks, 33 watches  
-[util](categories/util.md) category, created 2014-09-13, last commit 2022-12-06, main language Python  
-<sub><sup>complexity-analysis, flake8, linter, linter-flake8, pep8, python, python3, static-analysis, static-code-analysis, style-guide, styleguide, stylelint</sup></sub>
+### [sedona](https://github.com/apache/incubator-sedona) by [apache](https://github.com/apache)  
+sedona: A cluster computing framework for processing large-scale geospatial data  
+[http://sedona.apache.org/](http://sedona.apache.org/)  
+[https://github.com/apache/incubator-sedona](https://github.com/apache/incubator-sedona)  
+3.33 stars per week over 410 weeks  
+1,366 stars, 561 forks, 105 watches  
+[gis](categories/gis.md) category, created 2015-04-24, last commit 2023-03-04, main language Java  
+<sub><sup>cluster-computing, geospatial, java, python, scala, spatial-analysis, spatial-query, spatial-sql</sup></sub>
 
 
-### [pandas-datareader](https://github.com/pydata/pandas-datareader) by [pydata](https://github.com/pydata)  
-pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.  
-[https://pydata.github.io/pandas-datareader/stable/index.html](https://pydata.github.io/pandas-datareader/stable/index.html)  
-[https://github.com/pydata/pandas-datareader](https://github.com/pydata/pandas-datareader)  
-6.06 stars per week over 411 weeks  
-2,496 stars, 616 forks, 133 watches  
-[pandas](categories/pandas.md) category, created 2015-01-15, last commit 2022-03-16, main language Python  
-<sub><sup>data, data-analysis, dataset, econdb, economic-data, fama-french, finance, financial-data, fred, html, pandas, pydata, python, stock-data</sup></sub>
+### [safety](https://github.com/pyupio/safety) by [pyupio](https://github.com/pyupio)  
+Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.  
+[https://pyup.io/safety/](https://pyup.io/safety/)  
+[https://github.com/pyupio/safety](https://github.com/pyupio/safety)  
+4.41 stars per week over 332 weeks  
+1,465 stars, 124 forks, 31 watches  
+[security](categories/security.md) category, created 2016-10-19, last commit 2023-02-26, main language Python  
+<sub><sup>python, security, security-vulnerability, travis, vulnerability-detection, vulnerability-scanners</sup></sub>
 
 
-### [dalle-playground](https://github.com/saharmor/dalle-playground) by [saharmor](https://github.com/saharmor)  
-dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)  
-[https://github.com/saharmor/dalle-playground](https://github.com/saharmor/dalle-playground)  
-38 stars per week over 64 weeks  
-2,485 stars, 553 forks, 28 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-09-13, last commit 2022-12-02, main language Jupyter Notebook  
-<sub><sup>artificial, artificial-intelligence, dall-e, dalle, dalle-mini, gan, machine-learning, openai, stable-diffusion, text-to-image, transformers</sup></sub>
+### [s3fs](https://github.com/fsspec/s3fs) by [fsspec](https://github.com/fsspec)  
+s3fs: S3 Filesystem   
+[http://s3fs.readthedocs.io/en/latest/](http://s3fs.readthedocs.io/en/latest/)  
+[https://github.com/fsspec/s3fs](https://github.com/fsspec/s3fs)  
+1.78 stars per week over 363 weeks  
+648 stars, 216 forks, 22 watches  
+[util](categories/util.md) category, created 2016-03-16, last commit 2023-02-23, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
 
 
-### [botorch](https://github.com/pytorch/botorch) by [pytorch](https://github.com/pytorch)  
-botorch: Bayesian optimization in PyTorch  
-[https://botorch.org/](https://botorch.org/)  
-[https://github.com/pytorch/botorch](https://github.com/pytorch/botorch)  
-10 stars per week over 227 weeks  
-2,471 stars, 292 forks, 52 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-07-30, last commit 2022-12-07, main language Jupyter Notebook  
+### [fpdf2](https://github.com/pyfpdf/fpdf2) by [pyfpdf](https://github.com/pyfpdf)  
+fpdf2: Simple PDF generation for Python  
+[https://pyfpdf.github.io/fpdf2/](https://pyfpdf.github.io/fpdf2/)  
+[https://github.com/pyfpdf/fpdf2](https://github.com/pyfpdf/fpdf2)  
+1.99 stars per week over 311 weeks  
+621 stars, 165 forks, 17 watches  
+[util](categories/util.md) category, created 2017-03-15, last commit 2023-03-03, main language Python  
+<sub><sup>barcode, hacktoberfest, library, markdown, pdf, pdf-generation, pdf-library, python, python3, svg</sup></sub>
 
 
-### [xlwings](https://github.com/zoomeranalytics/xlwings) by [zoomeranalytics](https://github.com/zoomeranalytics)  
-xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.   
-[https://www.xlwings.org](https://www.xlwings.org)  
-[https://github.com/zoomeranalytics/xlwings](https://github.com/zoomeranalytics/xlwings)  
-5.4 stars per week over 455 weeks  
-2,458 stars, 450 forks, 120 watches  
-[data](categories/data.md) category, created 2014-03-17, last commit 2022-12-03, main language Python  
-<sub><sup>automation, excel, google-sheets, googlesheets, python, reporting</sup></sub>
+### [texthero](https://github.com/jbesomi/texthero) by [jbesomi](https://github.com/jbesomi)  
+texthero: Text preprocessing, representation and visualization from zero to hero.  
+[https://texthero.org](https://texthero.org)  
+[https://github.com/jbesomi/texthero](https://github.com/jbesomi/texthero)  
+17 stars per week over 151 weeks  
+2,709 stars, 229 forks, 43 watches  
+[nlp](categories/nlp.md) category, created 2020-04-06, last commit 2022-10-28, main language Python  
+<sub><sup>machine-learning, nlp, nlp-pipeline, text-clustering, text-mining, text-preprocessing, text-representation, text-visualization, texthero, word-embeddings</sup></sub>
 
 
-### [stumpy](https://github.com/tdameritrade/stumpy) by [tdameritrade](https://github.com/tdameritrade)  
-STUMPY is a powerful and scalable Python library for modern time series analysis  
-[https://stumpy.readthedocs.io/en/latest/](https://stumpy.readthedocs.io/en/latest/)  
-[https://github.com/tdameritrade/stumpy](https://github.com/tdameritrade/stumpy)  
-13 stars per week over 187 weeks  
-2,452 stars, 237 forks, 50 watches  
-[time-series](categories/time-series.md) category, created 2019-05-03, last commit 2022-12-06, main language Python  
-<sub><sup>anomaly-detection, dask, data-science, matrix-profile, motif-discovery, numba, pattern-matching, pydata, python, time-series-analysis, time-series-data-mining, time-series-segmentation</sup></sub>
+### [pysystemtrade](https://github.com/robcarver17/pysystemtrade) by [robcarver17](https://github.com/robcarver17)  
+pysystemtrade: Systematic Trading in python  
+[https://github.com/robcarver17/pysystemtrade](https://github.com/robcarver17/pysystemtrade)  
+5.02 stars per week over 379 weeks  
+1,904 stars, 637 forks, 156 watches  
+[finance](categories/finance.md) category, created 2015-11-27, last commit 2023-03-03, main language Python  
 
 
-### [panel](https://github.com/holoviz/panel) by [holoviz](https://github.com/holoviz)  
-panel: A high-level app and dashboarding solution for Python  
-[https://panel.holoviz.org](https://panel.holoviz.org)  
-[https://github.com/holoviz/panel](https://github.com/holoviz/panel)  
-10 stars per week over 223 weeks  
-2,418 stars, 313 forks, 47 watches  
-[viz](categories/viz.md) category, created 2018-08-23, last commit 2022-12-06, main language Python  
-<sub><sup>control-panels, dashboards, gui, holoviz, panel</sup></sub>
+### [remi](https://github.com/dddomodossola/remi) by [dddomodossola](https://github.com/dddomodossola)  
+remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.  
+[https://github.com/dddomodossola/remi](https://github.com/dddomodossola/remi)  
+6.91 stars per week over 467 weeks  
+3,232 stars, 394 forks, 121 watches  
+[gui](categories/gui.md) category, created 2014-03-20, last commit 2023-02-01, main language Python  
+<sub><sup>gui, gui-library, platform-independent, python, remi, ui</sup></sub>
 
 
-### [geemap](https://github.com/giswqs/geemap) by [giswqs](https://github.com/giswqs)  
-geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.  
-[https://geemap.org](https://geemap.org)  
-[https://github.com/giswqs/geemap](https://github.com/giswqs/geemap)  
-16 stars per week over 143 weeks  
-2,407 stars, 894 forks, 96 watches  
-[gis](categories/gis.md) category, created 2020-03-08, last commit 2022-12-05, main language Python  
-<sub><sup>colab, data-science, dataviz, earth-engine, earthengine, folium, geospatial, gis, google-earth-engine, image-processing, ipyleaflet, ipywidgets, jupyter, jupyter-notebook, landsat, mapping, python, remote-sensing, streamlit, streamlit-webapp</sup></sub>
+### [deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch) by [udacity](https://github.com/udacity)  
+deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101  
+[https://github.com/udacity/deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)  
+20 stars per week over 234 weeks  
+4,861 stars, 5,222 forks, 174 watches  
+[study](categories/study.md) category, created 2018-09-04, last commit 2022-12-24, main language Jupyter Notebook  
+<sub><sup>convolutional-networks, deep-learning, neural-network, pytorch, recurrent-networks, sentiment-analysis, style-transfer</sup></sub>
 
 
-### [hiplot](https://github.com/facebookresearch/hiplot) by [facebookresearch](https://github.com/facebookresearch)  
-HiPlot makes understanding high dimensional data easy  
-[https://facebookresearch.github.io/hiplot/](https://facebookresearch.github.io/hiplot/)  
-[https://github.com/facebookresearch/hiplot](https://github.com/facebookresearch/hiplot)  
-14 stars per week over 160 weeks  
-2,378 stars, 120 forks, 28 watches  
-[viz](categories/viz.md) category, created 2019-11-08, last commit 2022-12-05, main language TypeScript  
+### [pycodestyle](https://github.com/pycqa/pycodestyle) by [pycqa](https://github.com/pycqa)  
+pycodestyle: Simple Python style checker in one Python file  
+[https://pycodestyle.pycqa.org](https://pycodestyle.pycqa.org)  
+[https://github.com/pycqa/pycodestyle](https://github.com/pycqa/pycodestyle)  
+6.83 stars per week over 700 weeks  
+4,780 stars, 697 forks, 120 watches  
+[util](categories/util.md) category, created 2009-10-02, last commit 2022-12-13, main language Python  
+<sub><sup>flake8-plugin, linter-flake8, linter-plugin, pep8, python, style-guide, styleguide</sup></sub>
 
 
-### [mljar-supervised](https://github.com/mljar/mljar-supervised) by [mljar](https://github.com/mljar)  
-mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation  
-[https://mljar.com](https://mljar.com)  
-[https://github.com/mljar/mljar-supervised](https://github.com/mljar/mljar-supervised)  
-11 stars per week over 213 weeks  
-2,357 stars, 308 forks, 41 watches  
-[ml](categories/ml.md) category, created 2018-11-05, last commit 2022-11-03, main language Python  
-<sub><sup>automated-machine-learning, automatic-machine-learning, automl, catboost, data-science, decision-tree, ensemble, feature-engineering, hyper-parameters, hyperparameter-optimization, lightgbm, machine-learning, mljar, models-tuning, neural-network, random-forest, scikit-learn, shap, tuning-algorithm, xgboost</sup></sub>
+### [pipreqs](https://github.com/bndr/pipreqs) by [bndr](https://github.com/bndr)  
+pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.  
+[https://github.com/bndr/pipreqs](https://github.com/bndr/pipreqs)  
+12 stars per week over 410 weeks  
+4,936 stars, 330 forks, 60 watches  
+[util](categories/util.md) category, created 2015-04-22, last commit 2023-01-14, main language Python  
 
 
-### [notifiers](https://github.com/liiight/notifiers) by [liiight](https://github.com/liiight)  
-notifiers: The easy way to send notifications  
-[http://notifiers.readthedocs.io/](http://notifiers.readthedocs.io/)  
-[https://github.com/liiight/notifiers](https://github.com/liiight/notifiers)  
-8.15 stars per week over 287 weeks  
-2,346 stars, 91 forks, 33 watches  
-[util](categories/util.md) category, created 2017-06-01, last commit 2022-07-14, main language Python  
-<sub><sup>notification-service, notifications, notifier, pypi, python, python3</sup></sub>
+### [autograd](https://github.com/hips/autograd) by [hips](https://github.com/hips)  
+autograd: Efficiently computes derivatives of numpy code.  
+[https://github.com/hips/autograd](https://github.com/hips/autograd)  
+14 stars per week over 431 weeks  
+6,211 stars, 850 forks, 217 watches  
+[ml](categories/ml.md) category, created 2014-11-24, last commit 2022-09-29, main language Python  
 
 
 ### [nbdime](https://github.com/jupyter/nbdime) by [jupyter](https://github.com/jupyter)  
 nbdime: Tools for diffing and merging of Jupyter notebooks.  
 [http://nbdime.readthedocs.io](http://nbdime.readthedocs.io)  
 [https://github.com/jupyter/nbdime](https://github.com/jupyter/nbdime)  
-6.34 stars per week over 368 weeks  
-2,334 stars, 151 forks, 43 watches  
-[jupyter](categories/jupyter.md) category, created 2015-11-16, last commit 2022-11-24, main language Python  
+6.25 stars per week over 380 weeks  
+2,382 stars, 156 forks, 44 watches  
+[jupyter](categories/jupyter.md) category, created 2015-11-16, last commit 2023-01-15, main language Python  
 <sub><sup>diff, diffing, git, hg, jupyter, jupyter-notebook, jupyterlab-extension, mercurial, merge, merge-driver, mergetool, vcs, version-control</sup></sub>
 
 
-### [holoviews](https://github.com/holoviz/holoviews) by [holoviz](https://github.com/holoviz)  
-holoviews: With Holoviews, your data visualizes itself.  
-[https://holoviews.org](https://holoviews.org)  
-[https://github.com/holoviz/holoviews](https://github.com/holoviz/holoviews)  
-5.2 stars per week over 448 weeks  
-2,330 stars, 364 forks, 61 watches  
-[viz](categories/viz.md) category, created 2014-05-07, last commit 2022-12-05, main language Python  
-<sub><sup>holoviews, holoviz, plotting</sup></sub>
-
-
-### [Top2Vec](https://github.com/ddangelov/top2vec) by [ddangelov](https://github.com/ddangelov)  
-Top2Vec learns jointly embedded topic, document and word vectors.  
-[https://github.com/ddangelov/top2vec](https://github.com/ddangelov/top2vec)  
-16 stars per week over 141 weeks  
-2,329 stars, 320 forks, 39 watches  
-[nlp](categories/nlp.md) category, created 2020-03-20, last commit 2022-04-03, main language Python  
-<sub><sup>bert, document-embedding, pre-trained-language-models, semantic-search, sentence-encoder, sentence-transformers, text-search, text-semantic-similarity, top2vec, topic-modeling, topic-modelling, topic-search, topic-vector, word-embeddings</sup></sub>
-
-
-### [ipyparallel](https://github.com/ipython/ipyparallel) by [ipython](https://github.com/ipython)  
-ipyparallel: IPython Parallel: Interactive Parallel Computing in Python  
-[https://ipyparallel.readthedocs.io/](https://ipyparallel.readthedocs.io/)  
-[https://github.com/ipython/ipyparallel](https://github.com/ipython/ipyparallel)  
-5.78 stars per week over 399 weeks  
-2,312 stars, 947 forks, 119 watches  
-[perf](categories/perf.md) category, created 2015-04-09, last commit 2022-11-22, main language Jupyter Notebook  
-<sub><sup>jupyter, parallel, python</sup></sub>
-
-
-### [deep-rl-class](https://github.com/huggingface/deep-rl-class) by [huggingface](https://github.com/huggingface)  
-deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.  
-[https://github.com/huggingface/deep-rl-class](https://github.com/huggingface/deep-rl-class)  
-70 stars per week over 32 weeks  
-2,300 stars, 263 forks, 93 watches  
-[study](categories/study.md) category, created 2022-04-21, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>deep-learning, deep-reinforcement-learning, reinforcement-learning, reinforcement-learning-excercises</sup></sub>
-
+### [llvmlite](https://github.com/numba/llvmlite) by [numba](https://github.com/numba)  
+llvmlite: A lightweight LLVM python binding for writing JIT compilers  
+[http://llvmlite.pydata.org/](http://llvmlite.pydata.org/)  
+[https://github.com/numba/llvmlite](https://github.com/numba/llvmlite)  
+3.49 stars per week over 447 weeks  
+1,561 stars, 299 forks, 53 watches  
+[util](categories/util.md) category, created 2014-08-07, last commit 2023-02-14, main language Python  
 
-### [fastapi-users](https://github.com/fastapi-users/fastapi-users)  
-fastapi-users: Ready-to-use and customizable users management for FastAPI  
-[https://fastapi-users.github.io/fastapi-users/](https://fastapi-users.github.io/fastapi-users/)  
-[https://github.com/fastapi-users/fastapi-users](https://github.com/fastapi-users/fastapi-users)  
-13 stars per week over 165 weeks  
-2,299 stars, 236 forks, 33 watches  
-[web](categories/web.md) category, created 2019-10-05, last commit 2022-11-04, main language Python  
-<sub><sup>async, asyncio, fastapi, fastapi-users, python, starlette, users</sup></sub>
 
+### [eo-learn](https://github.com/sentinel-hub/eo-learn) by [sentinel-hub](https://github.com/sentinel-hub)  
+eo-learn: Earth observation processing framework for machine learning in Python  
+[https://github.com/sentinel-hub/eo-learn](https://github.com/sentinel-hub/eo-learn)  
+3.92 stars per week over 248 weeks  
+974 stars, 283 forks, 48 watches  
+[gis](categories/gis.md) category, created 2018-05-31, last commit 2023-01-24, main language Python  
+<sub><sup>eo-data, eo-research, machine-learning, python-package</sup></sub>
 
-### [VQGAN-CLIP](https://github.com/nerdyrodent/vqgan-clip) by [nerdyrodent](https://github.com/nerdyrodent)  
-VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.  
-[https://github.com/nerdyrodent/vqgan-clip](https://github.com/nerdyrodent/vqgan-clip)  
-30 stars per week over 74 weeks  
-2,293 stars, 395 forks, 53 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-07-02, last commit 2022-10-02, main language Python  
-<sub><sup>text-to-image, text2image</sup></sub>
 
+### [datapane](https://github.com/datapane/datapane)  
+datapane: Build full-stack data analytics apps in Python  
+[https://datapane.com](https://datapane.com)  
+[https://github.com/datapane/datapane](https://github.com/datapane/datapane)  
+5.27 stars per week over 149 weeks  
+788 stars, 64 forks, 16 watches  
+[viz](categories/viz.md) category, created 2020-04-23, last commit 2023-03-03, main language Python  
+<sub><sup>dashboard, data-visualization, hacktoberfest, python, reporting</sup></sub>
 
-### [coveragepy](https://github.com/nedbat/coveragepy) by [nedbat](https://github.com/nedbat)  
-coveragepy: The code coverage tool for Python  
-[https://coverage.readthedocs.io](https://coverage.readthedocs.io)  
-[https://github.com/nedbat/coveragepy](https://github.com/nedbat/coveragepy)  
-9.86 stars per week over 232 weeks  
-2,292 stars, 330 forks, 27 watches  
-[testing](categories/testing.md) category, created 2018-06-23, last commit 2022-12-06, main language Python  
 
+### [cleverhans](https://github.com/cleverhans-lab/cleverhans) by [cleverhans-lab](https://github.com/cleverhans-lab)  
+cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both  
+[https://github.com/cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)  
+16 stars per week over 337 weeks  
+5,721 stars, 1,383 forks, 191 watches  
+[ml](categories/ml.md) category, created 2016-09-15, last commit 2023-01-31, main language Jupyter Notebook  
+<sub><sup>benchmarking, machine-learning, security</sup></sub>
 
-### [pyston](https://github.com/pyston/pyston)  
-pyston: A faster and highly-compatible implementation of the Python programming language.  
-[https://www.pyston.org/](https://www.pyston.org/)  
-[https://github.com/pyston/pyston](https://github.com/pyston/pyston)  
-24 stars per week over 92 weeks  
-2,285 stars, 83 forks, 32 watches  
-[util](categories/util.md) category, created 2021-03-01, last commit 2022-11-23, main language Python  
 
+### [cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science) by [drivendata](https://github.com/drivendata)  
+cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.  
+[http://drivendata.github.io/cookiecutter-data-science/](http://drivendata.github.io/cookiecutter-data-science/)  
+[https://github.com/drivendata/cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science)  
+17 stars per week over 383 weeks  
+6,536 stars, 2,089 forks, 113 watches  
+[template](categories/template.md) category, created 2015-10-30, last commit 2022-03-11, main language Python  
+<sub><sup>ai, cookiecutter, cookiecutter-data-science, cookiecutter-template, data-science, machine-learning</sup></sub>
 
-### [mujoco-py](https://github.com/openai/mujoco-py) by [openai](https://github.com/openai)  
-mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.  
-[https://github.com/openai/mujoco-py](https://github.com/openai/mujoco-py)  
-6.61 stars per week over 345 weeks  
-2,283 stars, 711 forks, 157 watches  
-[sim](categories/sim.md) category, created 2016-04-24, last commit 2022-11-17, main language Cython  
 
+### [petastorm](https://github.com/uber/petastorm) by [uber](https://github.com/uber)  
+Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.  
+[https://github.com/uber/petastorm](https://github.com/uber/petastorm)  
+6.45 stars per week over 246 weeks  
+1,589 stars, 267 forks, 43 watches  
+[data](categories/data.md) category, created 2018-06-15, last commit 2023-02-03, main language Python  
+<sub><sup>deep-learning, machine-learning, parquet, parquet-files, pyarrow, pyspark, pytorch, sysml, tensorflow</sup></sub>
 
-### [dm-haiku](https://github.com/deepmind/dm-haiku) by [deepmind](https://github.com/deepmind)  
-dm-haiku: JAX-based neural network library  
-[https://dm-haiku.readthedocs.io](https://dm-haiku.readthedocs.io)  
-[https://github.com/deepmind/dm-haiku](https://github.com/deepmind/dm-haiku)  
-15 stars per week over 146 weeks  
-2,270 stars, 190 forks, 37 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-02-18, last commit 2022-11-22, main language Python  
-<sub><sup>deep-learning, deep-neural-networks, jax, machine-learning, neural-networks</sup></sub>
 
+### [nbgrader](https://github.com/jupyter/nbgrader) by [jupyter](https://github.com/jupyter)  
+nbgrader: A system for assigning and grading notebooks  
+[https://nbgrader.readthedocs.io/](https://nbgrader.readthedocs.io/)  
+[https://github.com/jupyter/nbgrader](https://github.com/jupyter/nbgrader)  
+2.63 stars per week over 442 weeks  
+1,162 stars, 318 forks, 42 watches  
+[jupyter](categories/jupyter.md) category, created 2014-09-13, last commit 2023-03-03, main language Python  
+<sub><sup>grading, jupyter, jupyter-notebook, jupyterhub, nbgrader, teaching</sup></sub>
 
-### [deepchecks](https://github.com/deepchecks/deepchecks)  
-deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.  
-[https://docs.deepchecks.com](https://docs.deepchecks.com)  
-[https://github.com/deepchecks/deepchecks](https://github.com/deepchecks/deepchecks)  
-37 stars per week over 60 weeks  
-2,265 stars, 158 forks, 13 watches  
-[data](categories/data.md) category, created 2021-10-11, last commit 2022-12-06, main language Python  
-<sub><sup>data-drift, data-science, data-validation, deep-learning, html-report, jupyter-notebook, machine-learning, ml, mlops, model-monitoring, model-validation, pandas-dataframe, python, pytorch</sup></sub>
 
+### [vectorbt](https://github.com/polakowo/vectorbt) by [polakowo](https://github.com/polakowo)  
+vectorbt: Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.   
+[https://vectorbt.dev](https://vectorbt.dev)  
+[https://github.com/polakowo/vectorbt](https://github.com/polakowo/vectorbt)  
+9.48 stars per week over 276 weeks  
+2,624 stars, 453 forks, 97 watches  
+[finance](categories/finance.md) category, created 2017-11-14, last commit 2023-02-27, main language Python  
+<sub><sup>algorithmic-trading, algorithmic-traiding, backtesting, cryptocurrency, data-science, data-visualization, finance, machine-learning, portfolio-optimization, quantitative-analysis, quantitative-finance, time-series, trading, trading-strategies</sup></sub>
 
-### [hnswlib](https://github.com/nmslib/hnswlib) by [nmslib](https://github.com/nmslib)  
-hnswlib: Header-only C++/python library for fast approximate nearest neighbors  
-[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
-[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
-7.98 stars per week over 282 weeks  
-2,256 stars, 418 forks, 62 watches  
-[ml](categories/ml.md) category, created 2017-07-06, last commit 2022-04-16, main language C++  
 
+### [dill](https://github.com/uqfoundation/dill) by [uqfoundation](https://github.com/uqfoundation)  
+dill: serialize all of python  
+[http://dill.rtfd.io](http://dill.rtfd.io)  
+[https://github.com/uqfoundation/dill](https://github.com/uqfoundation/dill)  
+3.7 stars per week over 505 weeks  
+1,870 stars, 157 forks, 22 watches  
+[data](categories/data.md) category, created 2013-06-28, last commit 2023-02-20, main language Python  
 
-### [ibis](https://github.com/ibis-project/ibis) by [ibis-project](https://github.com/ibis-project)  
-ibis: Expressive analytics in Python at any scale.  
-[http://ibis-project.org](http://ibis-project.org)  
-[https://github.com/ibis-project/ibis](https://github.com/ibis-project/ibis)  
-5.56 stars per week over 398 weeks  
-2,217 stars, 371 forks, 77 watches  
-[data](categories/data.md) category, created 2015-04-17, last commit 2022-12-07, main language Python  
-<sub><sup>arrow, bigquery, clickhouse, dask, database, datafusion, duckdb, impala, mssql, mysql, pandas, polars, postgresql, pyarrow, pyspark, python, spark, sql, sqlalchemy, sqlite</sup></sub>
 
+### [Phoenix](https://github.com/wxwidgets/phoenix) by [wxwidgets](https://github.com/wxwidgets)  
+Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.  
+[http://wxpython.org/](http://wxpython.org/)  
+[https://github.com/wxwidgets/phoenix](https://github.com/wxwidgets/phoenix)  
+3.52 stars per week over 554 weeks  
+1,953 stars, 496 forks, 104 watches  
+[gui](categories/gui.md) category, created 2012-07-17, last commit 2023-03-03, main language Python  
+<sub><sup>awesome, cross-platform, gui, gui-framework, gui-toolkit, linux, macosx, python, windows, wxpython, wxwidgets</sup></sub>
 
-### [pycryptodome](https://github.com/legrandin/pycryptodome) by [legrandin](https://github.com/legrandin)  
-pycryptodome: A self-contained cryptographic library for Python  
-[https://www.pycryptodome.org](https://www.pycryptodome.org)  
-[https://github.com/legrandin/pycryptodome](https://github.com/legrandin/pycryptodome)  
-4.92 stars per week over 448 weeks  
-2,206 stars, 403 forks, 59 watches  
-[util](categories/util.md) category, created 2014-05-02, last commit 2022-12-06, main language C  
-<sub><sup>cryptography, python, security</sup></sub>
 
+### [astro-sdk](https://github.com/astronomer/astro-sdk) by [astronomer](https://github.com/astronomer)  
+astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.  
+[https://astro-sdk-python.rtfd.io/](https://astro-sdk-python.rtfd.io/)  
+[https://github.com/astronomer/astro-sdk](https://github.com/astronomer/astro-sdk)  
+3.56 stars per week over 64 weeks  
+231 stars, 32 forks, 14 watches  
+[ml-ops](categories/ml-ops.md) category, created 2021-12-06, last commit 2023-03-02, main language Python  
+<sub><sup>airflow, apache-airflow, bigquery, dags, data-analysis, data-science, elt, etl, gcs, pandas, postgres, python, s3, snowflake, sql, sqlite, workflows</sup></sub>
 
-### [mage-ai](https://github.com/mage-ai/mage-ai)  
-mage-ai: 🧙 A modern replacement for Airflow.  
-[https://www.mage.ai/](https://www.mage.ai/)  
-[https://github.com/mage-ai/mage-ai](https://github.com/mage-ai/mage-ai)  
-74 stars per week over 29 weeks  
-2,173 stars, 189 forks, 39 watches  
-[ml-ops](categories/ml-ops.md) category, created 2022-05-16, last commit 2022-12-06, main language Python  
-<sub><sup>artificial-intelligence, data, data-engineering, data-integration, data-pipelines, data-science, dbt, elt, etl, machine-learning, orchestration, pipeline, pipelines, python, reverse-etl, spark, sql, transformation</sup></sub>
 
+### [python-driver](https://github.com/datastax/python-driver) by [datastax](https://github.com/datastax)  
+python-driver: DataStax Python Driver for Apache Cassandra  
+[https://github.com/datastax/python-driver](https://github.com/datastax/python-driver)  
+2.62 stars per week over 503 weeks  
+1,319 stars, 510 forks, 81 watches  
+[data](categories/data.md) category, created 2013-07-08, last commit 2023-02-28, main language Python  
 
-### [FLAML](https://github.com/microsoft/flaml) by [microsoft](https://github.com/microsoft)  
-FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.  
-[https://microsoft.github.io/FLAML/](https://microsoft.github.io/FLAML/)  
-[https://github.com/microsoft/flaml](https://github.com/microsoft/flaml)  
-18 stars per week over 119 weeks  
-2,158 stars, 328 forks, 37 watches  
-[ml](categories/ml.md) category, created 2020-08-20, last commit 2022-12-07, main language Jupyter Notebook  
-<sub><sup>automated-machine-learning, automl, classification, data-science, deep-learning, finetuning, hyperparam, hyperparameter-optimization, jupyter-notebook, machine-learning, natural-language-generation, natural-language-processing, python, random-forest, regression, scikit-learn, tabular-data, timeseries-forecasting, tuning</sup></sub>
 
+### [flow-forecast](https://github.com/aistream-peelout/flow-forecast) by [aistream-peelout](https://github.com/aistream-peelout)  
+flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).  
+[https://flow-forecast.atlassian.net/wiki/spaces/FF/overview](https://flow-forecast.atlassian.net/wiki/spaces/FF/overview)  
+[https://github.com/aistream-peelout/flow-forecast](https://github.com/aistream-peelout/flow-forecast)  
+7.17 stars per week over 185 weeks  
+1,330 stars, 227 forks, 21 watches  
+[time-series](categories/time-series.md) category, created 2019-08-15, last commit 2023-02-27, main language Python  
+<sub><sup>anomaly-detection, deep-learning, deep-neural-networks, forecasting, hacktoberfest, lstm, pytorch, state-of-the-art-models, time-series, time-series-analysis, time-series-forecasting, time-series-regression, transfer-learning, transformer</sup></sub>
 
-### [swifter](https://github.com/jmcarpenter2/swifter) by [jmcarpenter2](https://github.com/jmcarpenter2)  
-swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner  
-[https://github.com/jmcarpenter2/swifter](https://github.com/jmcarpenter2/swifter)  
-8.84 stars per week over 243 weeks  
-2,152 stars, 97 forks, 28 watches  
-[pandas](categories/pandas.md) category, created 2018-04-07, last commit 2022-08-16, main language Python  
-<sub><sup>dask, modin, pandas, pandas-dataframe, parallel-computing, parallelization</sup></sub>
 
+### [Augmentor](https://github.com/mdbloice/augmentor) by [mdbloice](https://github.com/mdbloice)  
+Augmentor: Image augmentation library in Python for machine learning.  
+[https://augmentor.readthedocs.io/en/stable](https://augmentor.readthedocs.io/en/stable)  
+[https://github.com/mdbloice/augmentor](https://github.com/mdbloice/augmentor)  
+13 stars per week over 365 weeks  
+4,868 stars, 858 forks, 123 watches  
+[ml](categories/ml.md) category, created 2016-03-01, last commit 2023-01-24, main language Python  
+<sub><sup>augmentation, deep-learning, machine-learning, neural-networks</sup></sub>
 
-### [pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-testinfra: Testinfra test your infrastructures  
-[https://testinfra.readthedocs.io](https://testinfra.readthedocs.io)  
-[https://github.com/pytest-dev/pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra)  
-5.29 stars per week over 403 weeks  
-2,133 stars, 312 forks, 82 watches  
-[testing](categories/testing.md) category, created 2015-03-15, last commit 2022-12-06, main language Python  
-<sub><sup>ansible, chef, devops, devops-tools, docker, infrastructure-as-code, infrastructure-testing, kubernetes, nagios, puppet, pytest-plugin, python, saltstack, tdd, tdd-utilities, testing, testing-tools</sup></sub>
 
+### [gpt-2-simple](https://github.com/minimaxir/gpt-2-simple) by [minimaxir](https://github.com/minimaxir)  
+gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts  
+[https://github.com/minimaxir/gpt-2-simple](https://github.com/minimaxir/gpt-2-simple)  
+15 stars per week over 203 weeks  
+3,178 stars, 652 forks, 74 watches  
+[nlp](categories/nlp.md) category, created 2019-04-13, last commit 2022-05-22, main language Python  
+<sub><sup>openai, tensorflow, text-generation, textgenrnn</sup></sub>
 
-### [Astra](https://github.com/flipkart-incubator/astra) by [flipkart-incubator](https://github.com/flipkart-incubator)  
-Astra: Automated Security Testing For REST API's  
-[https://github.com/flipkart-incubator/astra](https://github.com/flipkart-incubator/astra)  
-8.3 stars per week over 256 weeks  
-2,126 stars, 356 forks, 84 watches  
-[web](categories/web.md) category, created 2018-01-10, last commit 2019-04-05, main language Python  
-<sub><sup>ci-cd, owasp, penetration-testing, penetration-testing-framework, postman-collection, python, restapiautomation, sdlc, security, security-automation</sup></sub>
 
+### [deep-daze](https://github.com/lucidrains/deep-daze) by [lucidrains](https://github.com/lucidrains)  
+deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun  
+[https://github.com/lucidrains/deep-daze](https://github.com/lucidrains/deep-daze)  
+39 stars per week over 111 weeks  
+4,384 stars, 329 forks, 75 watches  
+[ml](categories/ml.md) category, created 2021-01-17, last commit 2022-03-13, main language Python  
+<sub><sup>artificial-intelligence, deep-learning, implicit-neural-representation, multi-modality, siren, text-to-image, transformers</sup></sub>
 
-### [earthengine-api](https://github.com/google/earthengine-api) by [google](https://github.com/google)  
-earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.  
-[https://github.com/google/earthengine-api](https://github.com/google/earthengine-api)  
-5.23 stars per week over 398 weeks  
-2,082 stars, 888 forks, 204 watches  
-[gis](categories/gis.md) category, created 2015-04-22, last commit 2022-11-30, main language JavaScript  
 
+### [TextBlob](https://github.com/sloria/textblob) by [sloria](https://github.com/sloria)  
+TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.  
+[https://textblob.readthedocs.io/](https://textblob.readthedocs.io/)  
+[https://github.com/sloria/textblob](https://github.com/sloria/textblob)  
+16 stars per week over 505 weeks  
+8,454 stars, 1,114 forks, 269 watches  
+[nlp](categories/nlp.md) category, created 2013-06-30, last commit 2021-10-22, main language Python  
+<sub><sup>natural-language-processing, nlp, nltk, pattern, python, python-2, python-3</sup></sub>
 
-### [PynamoDB](https://github.com/pynamodb/pynamodb) by [pynamodb](https://github.com/pynamodb)  
-PynamoDB: A pythonic interface to Amazon's DynamoDB  
-[http://pynamodb.readthedocs.io](http://pynamodb.readthedocs.io)  
-[https://github.com/pynamodb/pynamodb](https://github.com/pynamodb/pynamodb)  
-4.42 stars per week over 463 weeks  
-2,048 stars, 411 forks, 41 watches  
-[data](categories/data.md) category, created 2014-01-20, last commit 2022-12-06, main language Python  
-<sub><sup>aws, dynamodb, python</sup></sub>
 
+### [pint](https://github.com/hgrecco/pint) by [hgrecco](https://github.com/hgrecco)  
+pint: Operate and manipulate physical quantities in Python  
+[http://pint.readthedocs.org/](http://pint.readthedocs.org/)  
+[https://github.com/hgrecco/pint](https://github.com/hgrecco/pint)  
+3.51 stars per week over 555 weeks  
+1,949 stars, 416 forks, 40 watches  
+[util](categories/util.md) category, created 2012-07-13, last commit 2023-02-13, main language Python  
+<sub><sup>python, science, units</sup></sub>
 
-### [shapash](https://github.com/maif/shapash) by [maif](https://github.com/maif)  
-shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone  
-[https://maif.github.io/shapash/](https://maif.github.io/shapash/)  
-[https://github.com/maif/shapash](https://github.com/maif/shapash)  
-15 stars per week over 136 weeks  
-2,044 stars, 251 forks, 38 watches  
-[ml](categories/ml.md) category, created 2020-04-29, last commit 2022-12-02, main language Jupyter Notebook  
-<sub><sup>ethical-artificial-intelligence, explainability, explainable-ml, interpretability, lime, machine-learning, python, shap, transparency</sup></sub>
 
+### [intake](https://github.com/intake/intake)  
+Intake is a lightweight package for finding, investigating, loading and disseminating data.  
+[https://intake.readthedocs.io/](https://intake.readthedocs.io/)  
+[https://github.com/intake/intake](https://github.com/intake/intake)  
+3.01 stars per week over 289 weeks  
+873 stars, 125 forks, 43 watches  
+[data](categories/data.md) category, created 2017-08-14, last commit 2023-03-01, main language Python  
+<sub><sup>data-access, data-catalog, python</sup></sub>
 
-### [jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop) by [jupyterlab](https://github.com/jupyterlab)  
-jupyterlab-desktop: JupyterLab desktop application, based on Electron.  
-[https://github.com/jupyterlab/jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop)  
-6.98 stars per week over 291 weeks  
-2,038 stars, 211 forks, 43 watches  
-[jupyter](categories/jupyter.md) category, created 2017-05-04, last commit 2022-12-06, main language TypeScript  
-<sub><sup>jupyter, jupyter-notebook, jupyterlab</sup></sub>
 
+### [nlpaug](https://github.com/makcedward/nlpaug) by [makcedward](https://github.com/makcedward)  
+nlpaug: Data augmentation for NLP   
+[https://makcedward.github.io/](https://makcedward.github.io/)  
+[https://github.com/makcedward/nlpaug](https://github.com/makcedward/nlpaug)  
+18 stars per week over 206 weeks  
+3,823 stars, 429 forks, 39 watches  
+[nlp](categories/nlp.md) category, created 2019-03-21, last commit 2022-07-07, main language Jupyter Notebook  
+<sub><sup>adversarial-attacks, adversarial-example, ai, artificial-intelligence, augmentation, data-science, machine-learning, ml, natural-language-processing, nlp</sup></sub>
 
-### [nbviewer](https://github.com/jupyter/nbviewer) by [jupyter](https://github.com/jupyter)  
-nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages  
-[https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)  
-[https://github.com/jupyter/nbviewer](https://github.com/jupyter/nbviewer)  
-3.77 stars per week over 539 weeks  
-2,031 stars, 530 forks, 92 watches  
-[jupyter](categories/jupyter.md) category, created 2012-08-05, last commit 2022-11-07, main language Python  
-<sub><sup>jupyter, jupyter-notebook, nbconvert</sup></sub>
 
+### [greykite](https://github.com/linkedin/greykite) by [linkedin](https://github.com/linkedin)  
+greykite: A flexible, intuitive and fast forecasting library  
+[https://github.com/linkedin/greykite](https://github.com/linkedin/greykite)  
+17 stars per week over 96 weeks  
+1,674 stars, 92 forks, 37 watches  
+[ml](categories/ml.md) category, created 2021-04-27, last commit 2022-08-31, main language Python  
 
-### [refurb](https://github.com/dosisod/refurb) by [dosisod](https://github.com/dosisod)  
-refurb: A tool for refurbishing and modernizing Python codebases  
-[https://github.com/dosisod/refurb](https://github.com/dosisod/refurb)  
-106 stars per week over 19 weeks  
-2,027 stars, 34 forks, 14 watches  
-[util](categories/util.md) category, created 2022-07-27, last commit 2022-12-06, main language Python  
-<sub><sup>cli, gplv3, hacktoberfest, mypy, python, python310, testing</sup></sub>
 
+### [PyTorch-BigGraph](https://github.com/facebookresearch/pytorch-biggraph) by [facebookresearch](https://github.com/facebookresearch)  
+PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.  
+[https://torchbiggraph.readthedocs.io/](https://torchbiggraph.readthedocs.io/)  
+[https://github.com/facebookresearch/pytorch-biggraph](https://github.com/facebookresearch/pytorch-biggraph)  
+13 stars per week over 230 weeks  
+3,194 stars, 438 forks, 92 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-10-01, last commit 2022-12-08, main language Python  
 
-### [lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template) by [ashleve](https://github.com/ashleve)  
-lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡  
-[https://github.com/ashleve/lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template)  
-18 stars per week over 109 weeks  
-2,014 stars, 334 forks, 18 watches  
-[util](categories/util.md) category, created 2020-11-04, last commit 2022-11-11, main language Python  
-<sub><sup>best-practices, comet, config, deep-learning, experiment-tracking, experiments, hydra, mlflow, mlops, neptune, project-structure, pytorch, pytorch-lightning, reproducibility, research, template, tensorboard, wandb</sup></sub>
 
+### [FinancePy](https://github.com/domokane/financepy) by [domokane](https://github.com/domokane)  
+FinancePy: A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.   
+[https://financepy.com/](https://financepy.com/)  
+[https://github.com/domokane/financepy](https://github.com/domokane/financepy)  
+7.34 stars per week over 175 weeks  
+1,285 stars, 196 forks, 49 watches  
+[finance](categories/finance.md) category, created 2019-10-27, last commit 2023-02-26, main language Jupyter Notebook  
+<sub><sup>asset-allocation, bonds, credit, currency, derivatives, derivatives-pricing, finance, fixed-income, investment, numba, pricing, python, risk, risk-management, students, valuation</sup></sub>
 
-### [statsforecast](https://github.com/nixtla/statsforecast) by [nixtla](https://github.com/nixtla)  
-statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.  
-[https://nixtla.github.io/statsforecast/](https://nixtla.github.io/statsforecast/)  
-[https://github.com/nixtla/statsforecast](https://github.com/nixtla/statsforecast)  
-37 stars per week over 54 weeks  
-2,009 stars, 117 forks, 20 watches  
-[time-series](categories/time-series.md) category, created 2021-11-24, last commit 2022-12-06, main language Python  
-<sub><sup>arima, auto-arima, autoarima, baselines, econometrics, ets, exponential-smoothing, fbprophet, forecasting, machine-learning, mstl, naive, neuralprophet, predictions, prophet, python, seasonal-naive, statistics, theta, time-series</sup></sub>
 
+### [pandas-datareader](https://github.com/pydata/pandas-datareader) by [pydata](https://github.com/pydata)  
+pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.  
+[https://pydata.github.io/pandas-datareader/stable/index.html](https://pydata.github.io/pandas-datareader/stable/index.html)  
+[https://github.com/pydata/pandas-datareader](https://github.com/pydata/pandas-datareader)  
+6.1 stars per week over 424 weeks  
+2,590 stars, 637 forks, 138 watches  
+[pandas](categories/pandas.md) category, created 2015-01-15, last commit 2022-03-16, main language Python  
+<sub><sup>data, data-analysis, dataset, econdb, economic-data, fama-french, finance, financial-data, fred, html, pandas, pydata, python, stock-data</sup></sub>
 
-### [pyyaml](https://github.com/yaml/pyyaml) by [yaml](https://github.com/yaml)  
-pyyaml: Canonical source repository for PyYAML  
-[https://github.com/yaml/pyyaml](https://github.com/yaml/pyyaml)  
-3.45 stars per week over 578 weeks  
-1,999 stars, 420 forks, 46 watches  
-[util](categories/util.md) category, created 2011-11-03, last commit 2022-09-13, main language Python  
-<sub><sup>python, yaml</sup></sub>
 
+### [hyperopt](https://github.com/hyperopt/hyperopt)  
+hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python  
+[http://hyperopt.github.io/hyperopt](http://hyperopt.github.io/hyperopt)  
+[https://github.com/hyperopt/hyperopt](https://github.com/hyperopt/hyperopt)  
+11 stars per week over 599 weeks  
+6,607 stars, 1,009 forks, 126 watches  
+[ml](categories/ml.md) category, created 2011-09-06, last commit 2021-11-29, main language Python  
 
-### [pyflux](https://github.com/rjt1990/pyflux) by [rjt1990](https://github.com/rjt1990)  
-pyflux: Open source time series library for Python  
-[https://github.com/rjt1990/pyflux](https://github.com/rjt1990/pyflux)  
-5.63 stars per week over 355 weeks  
-1,998 stars, 233 forks, 70 watches  
-[time-series](categories/time-series.md) category, created 2016-02-16, last commit 2018-12-16, main language Python  
-<sub><sup>statistics, time-series</sup></sub>
 
+### [markdown](https://github.com/python-markdown/markdown) by [python-markdown](https://github.com/python-markdown)  
+markdown: A Python implementation of John Gruber’s Markdown with Extension support.  
+[https://python-markdown.github.io/](https://python-markdown.github.io/)  
+[https://github.com/python-markdown/markdown](https://github.com/python-markdown/markdown)  
+4.71 stars per week over 666 weeks  
+3,139 stars, 817 forks, 75 watches  
+[util](categories/util.md) category, created 2010-05-29, last commit 2023-01-09, main language Python  
+<sub><sup>markdown, markdown-parser, markdown-to-html, python, python-markdown, python3</sup></sub>
 
-### [fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices) by [zhanymkanov](https://github.com/zhanymkanov)  
-fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me  
-[https://github.com/zhanymkanov/fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices)  
-114 stars per week over 17 weeks  
-1,962 stars, 127 forks, 35 watches  
-[study](categories/study.md) category, created 2022-08-09, last commit 2022-09-16, main language None  
-<sub><sup>best-practices, fastapi</sup></sub>
 
+### [WeightWatcher](https://github.com/calculatedcontent/weightwatcher) by [calculatedcontent](https://github.com/calculatedcontent)  
+WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks  
+[https://github.com/calculatedcontent/weightwatcher](https://github.com/calculatedcontent/weightwatcher)  
+5.18 stars per week over 222 weeks  
+1,153 stars, 100 forks, 29 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-11-28, last commit 2023-03-04, main language Python  
 
-### [lightly](https://github.com/lightly-ai/lightly) by [lightly-ai](https://github.com/lightly-ai)  
-lightly: A python library for self-supervised learning on images.  
-[https://github.com/lightly-ai/lightly](https://github.com/lightly-ai/lightly)  
-17 stars per week over 112 weeks  
-1,952 stars, 159 forks, 25 watches  
-[ml](categories/ml.md) category, created 2020-10-13, last commit 2022-12-06, main language Python  
-<sub><sup>active-learning, computer-vision, contrastive-learning, deep-learning, embeddings, machine-learning, pytorch, self-supervised-learning</sup></sub>
 
+### [asitop](https://github.com/tlkh/asitop) by [tlkh](https://github.com/tlkh)  
+asitop: Perf monitoring CLI tool for Apple Silicon  
+[https://tlkh.github.io/asitop/](https://tlkh.github.io/asitop/)  
+[https://github.com/tlkh/asitop](https://github.com/tlkh/asitop)  
+19 stars per week over 70 weeks  
+1,366 stars, 81 forks, 19 watches  
+[perf](categories/perf.md) category, created 2021-10-27, last commit 2023-01-24, main language Python  
+<sub><sup>apple-silicon, cli, cpu, gpu, m1, macos</sup></sub>
 
-### [Phoenix](https://github.com/wxwidgets/phoenix) by [wxwidgets](https://github.com/wxwidgets)  
-Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.  
-[http://wxpython.org/](http://wxpython.org/)  
-[https://github.com/wxwidgets/phoenix](https://github.com/wxwidgets/phoenix)  
-3.51 stars per week over 542 weeks  
-1,905 stars, 488 forks, 105 watches  
-[gui](categories/gui.md) category, created 2012-07-17, last commit 2022-11-10, main language Python  
-<sub><sup>awesome, cross-platform, gui, gui-framework, gui-toolkit, linux, macosx, python, windows, wxpython, wxwidgets</sup></sub>
 
+### [pyproj](https://github.com/pyproj4/pyproj) by [pyproj4](https://github.com/pyproj4)  
+pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library)  
+[https://pyproj4.github.io/pyproj](https://pyproj4.github.io/pyproj)  
+[https://github.com/pyproj4/pyproj](https://github.com/pyproj4/pyproj)  
+2.01 stars per week over 426 weeks  
+858 stars, 190 forks, 30 watches  
+[gis](categories/gis.md) category, created 2014-12-29, last commit 2023-02-25, main language Python  
+<sub><sup>cartographic-projection, coordinate-systems, coordinate-transformation, geodesic, geospatial, hacktoberfest, python</sup></sub>
 
-### [pint](https://github.com/hgrecco/pint) by [hgrecco](https://github.com/hgrecco)  
-pint: Operate and manipulate physical quantities in Python  
-[http://pint.readthedocs.org/](http://pint.readthedocs.org/)  
-[https://github.com/hgrecco/pint](https://github.com/hgrecco/pint)  
-3.48 stars per week over 542 weeks  
-1,891 stars, 405 forks, 40 watches  
-[util](categories/util.md) category, created 2012-07-13, last commit 2022-11-29, main language Python  
-<sub><sup>python, science, units</sup></sub>
 
+### [Pretrained-Language-Model](https://github.com/huawei-noah/pretrained-language-model) by [huawei-noah](https://github.com/huawei-noah)  
+Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.  
+[https://github.com/huawei-noah/pretrained-language-model](https://github.com/huawei-noah/pretrained-language-model)  
+15 stars per week over 169 weeks  
+2,632 stars, 567 forks, 53 watches  
+[nlp](categories/nlp.md) category, created 2019-12-02, last commit 2022-12-25, main language Python  
+<sub><sup>knowledge-distillation, large-scale-distributed, model-compression, pretrained-models, quantization</sup></sub>
 
-### [py-evm](https://github.com/ethereum/py-evm) by [ethereum](https://github.com/ethereum)  
-py-evm: A Python implementation of the Ethereum Virtual Machine  
-[https://py-evm.readthedocs.io/en/latest/](https://py-evm.readthedocs.io/en/latest/)  
-[https://github.com/ethereum/py-evm](https://github.com/ethereum/py-evm)  
-6.06 stars per week over 310 weeks  
-1,878 stars, 576 forks, 98 watches  
-[crypto](categories/crypto.md) category, created 2016-12-27, last commit 2022-11-14, main language Python  
-<sub><sup>ethereum, ethereum-virtual-machine, evm, python</sup></sub>
 
+### [aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo) by [giswqs](https://github.com/giswqs)  
+aws-open-data-geo: A list of open geospatial datasets on AWS  
+[https://github.com/giswqs/aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo)  
+21 stars per week over 11 weeks  
+235 stars, 6 forks, 9 watches  
+[gis](categories/gis.md) category, created 2022-12-18, last commit 2023-03-04, main language Python  
+<sub><sup>aws, environment, geospatial, mapping, open-data, satellite-imagery, sustainability</sup></sub>
 
-### [alibi](https://github.com/seldonio/alibi) by [seldonio](https://github.com/seldonio)  
-alibi: Algorithms for explaining machine learning models  
-[https://docs.seldon.io/projects/alibi/en/stable/](https://docs.seldon.io/projects/alibi/en/stable/)  
-[https://github.com/seldonio/alibi](https://github.com/seldonio/alibi)  
-9.48 stars per week over 197 weeks  
-1,868 stars, 213 forks, 43 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2019-02-26, last commit 2022-11-24, main language Python  
-<sub><sup>counterfactual, explanations, interpretability, machine-learning, xai</sup></sub>
 
+### [funcy](https://github.com/suor/funcy) by [suor](https://github.com/suor)  
+funcy: A fancy and practical functional tools  
+[https://github.com/suor/funcy](https://github.com/suor/funcy)  
+5.51 stars per week over 542 weeks  
+2,986 stars, 134 forks, 73 watches  
+[util](categories/util.md) category, created 2012-10-13, last commit 2023-02-26, main language Python  
+<sub><sup>functional-programming, python, utilities</sup></sub>
 
-### [rasterio](https://github.com/rasterio/rasterio)  
-Rasterio reads and writes geospatial raster datasets  
-[https://rasterio.readthedocs.io/](https://rasterio.readthedocs.io/)  
-[https://github.com/rasterio/rasterio](https://github.com/rasterio/rasterio)  
-3.91 stars per week over 474 weeks  
-1,853 stars, 490 forks, 152 watches  
-[gis](categories/gis.md) category, created 2013-11-04, last commit 2022-12-01, main language Python  
-<sub><sup>cli, cython, gdal, gis, mapbox-satellite-oss, python, raster</sup></sub>
 
+### [pygraphistry](https://github.com/graphistry/pygraphistry) by [graphistry](https://github.com/graphistry)  
+PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer  
+[https://github.com/graphistry/pygraphistry](https://github.com/graphistry/pygraphistry)  
+4.47 stars per week over 404 weeks  
+1,811 stars, 188 forks, 47 watches  
+[data](categories/data.md) category, created 2015-06-02, last commit 2022-12-23, main language Python  
+<sub><sup>csv, cudf, cugraph, gpu, graph, graph-visualization, graphistry, igraph, jupyter, neo4j, network-analysis, network-visualization, networkx, pandas, python, rapids, splunk, tigergraph, visualization, webgl</sup></sub>
 
-### [data-diff](https://github.com/datafold/data-diff) by [datafold](https://github.com/datafold)  
-data-diff: Efficiently diff data in or across relational databases  
-[https://www.datafold.com/blog/open-source-data-diff](https://www.datafold.com/blog/open-source-data-diff)  
-[https://github.com/datafold/data-diff](https://github.com/datafold/data-diff)  
-47 stars per week over 39 weeks  
-1,849 stars, 81 forks, 14 watches  
-[data](categories/data.md) category, created 2022-03-07, last commit 2022-12-06, main language Python  
-<sub><sup>data-engineering, data-quality, data-quality-monitoring, data-science, database, databricks-sql, dataengineering, dataquality, mysql, oracle-database, postgres, postgresql, rdbms, snowflake, sql, trino</sup></sub>
 
+### [pyparsing](https://github.com/pyparsing/pyparsing)  
+pyparsing: Python library for creating PEG parsers  
+[https://github.com/pyparsing/pyparsing](https://github.com/pyparsing/pyparsing)  
+5.85 stars per week over 303 weeks  
+1,772 stars, 241 forks, 23 watches  
+[util](categories/util.md) category, created 2017-05-14, last commit 2023-02-12, main language Python  
+<sub><sup>parser-combinators, parsing, parsing-expression-grammar, parsing-library, peg-parsers, python, python-2, python-3, python2, python3, text-processing</sup></sub>
 
-### [cityscapesScripts](https://github.com/mcordts/cityscapesscripts) by [mcordts](https://github.com/mcordts)  
-cityscapesScripts: README and scripts for the Cityscapes Dataset  
-[https://github.com/mcordts/cityscapesscripts](https://github.com/mcordts/cityscapesscripts)  
-5.17 stars per week over 354 weeks  
-1,832 stars, 565 forks, 46 watches  
-[gis](categories/gis.md) category, created 2016-02-20, last commit 2022-10-22, main language Python  
 
+### [swifter](https://github.com/jmcarpenter2/swifter) by [jmcarpenter2](https://github.com/jmcarpenter2)  
+swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner  
+[https://github.com/jmcarpenter2/swifter](https://github.com/jmcarpenter2/swifter)  
+8.68 stars per week over 256 weeks  
+2,224 stars, 99 forks, 30 watches  
+[pandas](categories/pandas.md) category, created 2018-04-07, last commit 2022-08-16, main language Python  
+<sub><sup>dask, modin, pandas, pandas-dataframe, parallel-computing, parallelization</sup></sub>
 
-### [pandera](https://github.com/pandera-dev/pandera) by [pandera-dev](https://github.com/pandera-dev)  
-pandera: A light-weight, flexible, and expressive statistical data testing library  
-[https://www.union.ai/pandera](https://www.union.ai/pandera)  
-[https://github.com/pandera-dev/pandera](https://github.com/pandera-dev/pandera)  
-8.55 stars per week over 213 weeks  
-1,829 stars, 155 forks, 12 watches  
-[pandas](categories/pandas.md) category, created 2018-11-01, last commit 2022-11-14, main language Python  
-<sub><sup>assertions, data-assertions, data-check, data-cleaning, data-processing, data-validation, data-verification, dataframe-schema, dataframes, hypothesis-testing, pandas, pandas-dataframe, pandas-validation, pandas-validator, schema, testing, testing-tools, validation</sup></sub>
 
+### [filprofiler](https://github.com/pythonspeed/filprofiler) by [pythonspeed](https://github.com/pythonspeed)  
+filprofiler: A Python memory profiler for data processing and scientific computing applications  
+[https://pythonspeed.com/products/filmemoryprofiler/](https://pythonspeed.com/products/filmemoryprofiler/)  
+[https://github.com/pythonspeed/filprofiler](https://github.com/pythonspeed/filprofiler)  
+5.13 stars per week over 141 weeks  
+726 stars, 20 forks, 9 watches  
+[profiling](categories/profiling.md) category, created 2020-06-18, last commit 2023-03-01, main language Rust  
+<sub><sup>memory, memory-, memory-leak, memory-leak-detection, memory-leak-finder, memory-leaks, memory-profiler, memory-profiling, python</sup></sub>
 
-### [snakeviz](https://github.com/jiffyclub/snakeviz) by [jiffyclub](https://github.com/jiffyclub)  
-snakeviz: An in-browser Python profile viewer  
-[https://jiffyclub.github.io/snakeviz/](https://jiffyclub.github.io/snakeviz/)  
-[https://github.com/jiffyclub/snakeviz](https://github.com/jiffyclub/snakeviz)  
-3.34 stars per week over 545 weeks  
-1,823 stars, 128 forks, 22 watches  
-[profiling](categories/profiling.md) category, created 2012-06-26, last commit 2021-10-25, main language Python  
 
+### [backtrader](https://github.com/mementum/backtrader) by [mementum](https://github.com/mementum)  
+backtrader: Python Backtesting library for trading strategies  
+[https://www.backtrader.com](https://www.backtrader.com)  
+[https://github.com/mementum/backtrader](https://github.com/mementum/backtrader)  
+23 stars per week over 425 weeks  
+10,145 stars, 3,152 forks, 579 watches  
+[finance](categories/finance.md) category, created 2015-01-10, last commit 2021-07-17, main language Python  
+<sub><sup>backtesting, metaclass, python, trading</sup></sub>
 
-### [dill](https://github.com/uqfoundation/dill) by [uqfoundation](https://github.com/uqfoundation)  
-dill: serialize all of python  
-[http://dill.rtfd.io](http://dill.rtfd.io)  
-[https://github.com/uqfoundation/dill](https://github.com/uqfoundation/dill)  
-3.68 stars per week over 492 weeks  
-1,814 stars, 149 forks, 22 watches  
-[data](categories/data.md) category, created 2013-06-28, last commit 2022-10-26, main language Python  
 
+### [keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models) by [leondgarse](https://github.com/leondgarse)  
+keras_cv_attention_models: Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox  
+[https://github.com/leondgarse/keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models)  
+4.32 stars per week over 82 weeks  
+358 stars, 59 forks, 17 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-08-02, last commit 2023-02-25, main language Python  
+<sub><sup>anchor-free, attention, coco, detection, imagenet, keras, model, recognition, tensorflow, tf, tf2, visualizing</sup></sub>
 
-### [ipyvolume](https://github.com/maartenbreddels/ipyvolume) by [maartenbreddels](https://github.com/maartenbreddels)  
-ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL  
-[https://github.com/maartenbreddels/ipyvolume](https://github.com/maartenbreddels/ipyvolume)  
-5.81 stars per week over 311 weeks  
-1,807 stars, 233 forks, 53 watches  
-[jupyter](categories/jupyter.md) category, created 2016-12-21, last commit 2022-07-26, main language TypeScript  
-<sub><sup>dataviz, ipython-widget, jupyter, jupyter-notebook, plotting, python, quiver, rendering-3d-volumes, scientific-visualization, threejs, virtual-reality, visualisation, volume-rendering, webgl</sup></sub>
 
+### [sqlparse](https://github.com/andialbrecht/sqlparse) by [andialbrecht](https://github.com/andialbrecht)  
+sqlparse: A non-validating SQL parser module for Python  
+[https://github.com/andialbrecht/sqlparse](https://github.com/andialbrecht/sqlparse)  
+5.57 stars per week over 567 weeks  
+3,164 stars, 622 forks, 93 watches  
+[data](categories/data.md) category, created 2012-04-18, last commit 2023-01-05, main language Python  
 
-### [CodeGen](https://github.com/salesforce/codegen) by [salesforce](https://github.com/salesforce)  
-CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.  
-[https://github.com/salesforce/codegen](https://github.com/salesforce/codegen)  
-49 stars per week over 36 weeks  
-1,805 stars, 133 forks, 35 watches  
-[nlp](categories/nlp.md) category, created 2022-03-28, last commit 2022-12-01, main language Python  
-<sub><sup>codex, generativemodel, languagemodel, llm, programsynthesis, tpu-acceleration</sup></sub>
 
+### [FastAPI-template](https://github.com/s3rius/fastapi-template) by [s3rius](https://github.com/s3rius)  
+FastAPI-template: Feature rich robust FastAPI template.  
+[https://github.com/s3rius/fastapi-template](https://github.com/s3rius/fastapi-template)  
+5.33 stars per week over 125 weeks  
+671 stars, 69 forks, 13 watches  
+[web](categories/web.md) category, created 2020-10-05, last commit 2023-02-05, main language Python  
+<sub><sup>aerich, alembic, asynchronous, asyncio, cookiecutter, cookiecutter-python3, cookiecutter-template, fastapi, fastapi-boilerplate, fastapi-template, graphql, opentelemetry, ormar, prometheus, python3, sentry, sqlalchemy-orm, strawberry-graphql, tortoise-orm</sup></sub>
 
-### [h5py](https://github.com/h5py/h5py)  
-h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.  
-[http://www.h5py.org](http://www.h5py.org)  
-[https://github.com/h5py/h5py](https://github.com/h5py/h5py)  
-3.38 stars per week over 532 weeks  
-1,799 stars, 479 forks, 55 watches  
-[perf](categories/perf.md) category, created 2012-09-21, last commit 2022-11-24, main language Python  
 
+### [dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components) by [facultyai](https://github.com/facultyai)  
+dash-bootstrap-components: Bootstrap components for Plotly Dash  
+[https://dash-bootstrap-components.opensource.faculty.ai/](https://dash-bootstrap-components.opensource.faculty.ai/)  
+[https://github.com/facultyai/dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components)  
+4.09 stars per week over 232 weeks  
+949 stars, 202 forks, 21 watches  
+[viz](categories/viz.md) category, created 2018-09-21, last commit 2023-02-28, main language JavaScript  
+<sub><sup>bootstrap, dashboards, julia, plotly-dash, python, r</sup></sub>
 
-### [felicette](https://github.com/plant99/felicette) by [plant99](https://github.com/plant99)  
-felicette: Satellite imagery for dummies.  
-[https://github.com/plant99/felicette](https://github.com/plant99/felicette)  
-14 stars per week over 125 weeks  
-1,792 stars, 86 forks, 38 watches  
-[gis](categories/gis.md) category, created 2020-07-12, last commit 2021-09-08, main language Python  
-<sub><sup>earth-observation, earth-science, geoinformatics, geospatial, geospatial-data, geospatial-visualization, gis, python, python3, satellite-data, satellite-imagery, satellite-images</sup></sub>
 
+### [hnswlib](https://github.com/nmslib/hnswlib) by [nmslib](https://github.com/nmslib)  
+hnswlib: Header-only C++/python library for fast approximate nearest neighbors  
+[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
+[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
+8.1 stars per week over 295 weeks  
+2,394 stars, 432 forks, 62 watches  
+[ml](categories/ml.md) category, created 2017-07-06, last commit 2023-02-05, main language C++  
 
-### [wrapt](https://github.com/grahamdumpleton/wrapt) by [grahamdumpleton](https://github.com/grahamdumpleton)  
-wrapt: A Python module for decorators, wrappers and monkey patching.  
-[https://github.com/grahamdumpleton/wrapt](https://github.com/grahamdumpleton/wrapt)  
-3.6 stars per week over 497 weeks  
-1,790 stars, 208 forks, 45 watches  
-[util](categories/util.md) category, created 2013-05-29, last commit 2022-10-28, main language Python  
 
+### [ipyparallel](https://github.com/ipython/ipyparallel) by [ipython](https://github.com/ipython)  
+ipyparallel: IPython Parallel: Interactive Parallel Computing in Python  
+[https://ipyparallel.readthedocs.io/](https://ipyparallel.readthedocs.io/)  
+[https://github.com/ipython/ipyparallel](https://github.com/ipython/ipyparallel)  
+5.72 stars per week over 412 weeks  
+2,361 stars, 959 forks, 120 watches  
+[perf](categories/perf.md) category, created 2015-04-09, last commit 2023-02-08, main language Jupyter Notebook  
+<sub><sup>jupyter, parallel, python</sup></sub>
 
-### [reloadium](https://github.com/reloadware/reloadium) by [reloadware](https://github.com/reloadware)  
-reloadium: Advanced Hot Reloading & Profiling for Python  
-[https://reloadium.io](https://reloadium.io)  
-[https://github.com/reloadware/reloadium](https://github.com/reloadware/reloadium)  
-38 stars per week over 46 weeks  
-1,783 stars, 26 forks, 23 watches  
-[profiling](categories/profiling.md) category, created 2022-01-15, last commit 2022-11-29, main language Python  
-<sub><sup>django, edit-and-continue, flask, hot-reload, hot-reloading, pandas, python, python3</sup></sub>
 
+### [unprompted](https://github.com/thereforegames/unprompted) by [thereforegames](https://github.com/thereforegames)  
+unprompted: Text generator written for Stable Diffusion workflows.  
+[https://github.com/thereforegames/unprompted](https://github.com/thereforegames/unprompted)  
+16 stars per week over 17 weeks  
+287 stars, 31 forks, 9 watches  
+[diffusion](categories/diffusion.md) category, created 2022-10-31, last commit 2023-02-25, main language Python  
 
-### [pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2) by [pyfilesystem](https://github.com/pyfilesystem)  
-pyfilesystem2: Python's Filesystem abstraction layer  
-[https://www.pyfilesystem.org](https://www.pyfilesystem.org)  
-[https://github.com/pyfilesystem/pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2)  
-5.56 stars per week over 320 weeks  
-1,782 stars, 170 forks, 45 watches  
-[util](categories/util.md) category, created 2016-10-14, last commit 2022-10-18, main language Python  
-<sub><sup>filesystem, filesystem-library, ftp, pyfilesystem, pyfilesystem2, python, tar, zip</sup></sub>
 
+### [pyscf](https://github.com/pyscf/pyscf)  
+pyscf: Python module for quantum chemistry  
+[https://github.com/pyscf/pyscf](https://github.com/pyscf/pyscf)  
+1.85 stars per week over 461 weeks  
+854 stars, 459 forks, 76 watches  
+[sim](categories/sim.md) category, created 2014-05-02, last commit 2023-03-04, main language Python  
 
-### [flower](https://github.com/adap/flower) by [adap](https://github.com/adap)  
-Flower - A Friendly Federated Learning Framework  
-[https://flower.dev](https://flower.dev)  
-[https://github.com/adap/flower](https://github.com/adap/flower)  
-12 stars per week over 146 weeks  
-1,776 stars, 378 forks, 24 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-02-17, last commit 2022-12-06, main language Python  
-<sub><sup>federated-analytics, federated-learning, federated-learning-framework, fleet-intelligence, fleet-learning, flower, keras-federated-learning, pytorch-federated-learning, tensorflow-federated-learning</sup></sub>
 
+### [austin](https://github.com/p403n1x87/austin) by [p403n1x87](https://github.com/p403n1x87)  
+austin: Python frame stack sampler for CPython  
+[https://github.com/p403n1x87/austin](https://github.com/p403n1x87/austin)  
+4.83 stars per week over 232 weeks  
+1,123 stars, 37 forks, 14 watches  
+[profiling](categories/profiling.md) category, created 2018-09-20, last commit 2023-02-21, main language C  
+<sub><sup>debugging-tools, performance, profiling, python</sup></sub>
 
-### [mesa](https://github.com/projectmesa/mesa) by [projectmesa](https://github.com/projectmesa)  
-Mesa is an agent-based modeling framework in Python  
-[https://github.com/projectmesa/mesa](https://github.com/projectmesa/mesa)  
-4.14 stars per week over 428 weeks  
-1,774 stars, 756 forks, 90 watches  
-[sim](categories/sim.md) category, created 2014-09-19, last commit 2022-12-07, main language Python  
-<sub><sup>agent-based-modeling, agent-based-simulation, complex-systems, complexity-analysis, gis, mesa, modeling-agents, simulation, simulation-environment, simulation-framework, spatial-models</sup></sub>
 
+### [rioxarray](https://github.com/corteva/rioxarray) by [corteva](https://github.com/corteva)  
+rioxarray: geospatial xarray extension powered by rasterio  
+[https://corteva.github.io/rioxarray](https://corteva.github.io/rioxarray)  
+[https://github.com/corteva/rioxarray](https://github.com/corteva/rioxarray)  
+1.84 stars per week over 202 weeks  
+373 stars, 60 forks, 14 watches  
+[gis](categories/gis.md) category, created 2019-04-16, last commit 2023-03-03, main language Python  
+<sub><sup>gdal, geospatial, gis, hacktoberfest, netcdf, python, raster, rasterio, xarray</sup></sub>
 
-### [pygraphistry](https://github.com/graphistry/pygraphistry) by [graphistry](https://github.com/graphistry)  
-PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer  
-[https://github.com/graphistry/pygraphistry](https://github.com/graphistry/pygraphistry)  
-4.49 stars per week over 392 weeks  
-1,759 stars, 185 forks, 48 watches  
-[data](categories/data.md) category, created 2015-06-02, last commit 2022-11-29, main language Python  
-<sub><sup>csv, cudf, cugraph, gpu, graph, graph-visualization, graphistry, igraph, jupyter, neo4j, network-analysis, network-visualization, networkx, pandas, python, rapids, splunk, tigergraph, visualization, webgl</sup></sub>
 
+### [pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-testinfra: Testinfra test your infrastructures  
+[https://testinfra.readthedocs.io](https://testinfra.readthedocs.io)  
+[https://github.com/pytest-dev/pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra)  
+5.21 stars per week over 416 weeks  
+2,169 stars, 321 forks, 82 watches  
+[testing](categories/testing.md) category, created 2015-03-15, last commit 2023-01-11, main language Python  
+<sub><sup>ansible, chef, devops, devops-tools, docker, infrastructure-as-code, infrastructure-testing, kubernetes, nagios, puppet, pytest-plugin, python, saltstack, tdd, tdd-utilities, testing, testing-tools</sup></sub>
 
-### [jellyfish](https://github.com/jamesturk/jellyfish) by [jamesturk](https://github.com/jamesturk)  
-jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.  
-[https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)  
-[https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)  
-2.72 stars per week over 647 weeks  
-1,759 stars, 148 forks, 43 watches  
-[nlp](categories/nlp.md) category, created 2010-07-09, last commit 2022-11-07, main language Python  
-<sub><sup>fuzzy-search, hacktoberfest, hamming, jaro-winkler, levenshtein, metaphone, python, soundex</sup></sub>
 
+### [python-benedict](https://github.com/fabiocaccamo/python-benedict) by [fabiocaccamo](https://github.com/fabiocaccamo)  
+python-benedict: :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.  
+[https://github.com/fabiocaccamo/python-benedict](https://github.com/fabiocaccamo/python-benedict)  
+4.92 stars per week over 198 weeks  
+975 stars, 40 forks, 12 watches  
+[util](categories/util.md) category, created 2019-05-17, last commit 2023-03-02, main language Python  
+<sub><sup>base64, csv, decode, dict, dictionary, encode, filter, flatten, json, keypath, pickle, plist, python, query-string, subset, toml, traverse, xls, xml, yaml</sup></sub>
 
-### [hypertools](https://github.com/contextlab/hypertools) by [contextlab](https://github.com/contextlab)  
-hypertools: A Python toolbox for gaining geometric insights into high-dimensional data  
-[http://hypertools.readthedocs.io/en/latest/](http://hypertools.readthedocs.io/en/latest/)  
-[https://github.com/contextlab/hypertools](https://github.com/contextlab/hypertools)  
-5.43 stars per week over 323 weeks  
-1,754 stars, 159 forks, 60 watches  
-[ml](categories/ml.md) category, created 2016-09-27, last commit 2022-02-12, main language Python  
-<sub><sup>data-visualization, data-wrangling, high-dimensional-data, python, text-vectorization, time-series, topic-modeling, visualization</sup></sub>
 
+### [machine-learning-interviews](https://github.com/alirezadir/machine-learning-interview-enlightener) by [alirezadir](https://github.com/alirezadir)  
+machine-learning-interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews.   
+[https://github.com/alirezadir/machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener)  
+16 stars per week over 109 weeks  
+1,765 stars, 354 forks, 48 watches  
+[study](categories/study.md) category, created 2021-01-31, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>ai, deep-learning, interview, interview-practice, interview-preparation, interviews, machine-learning, machine-learning-algorithms, scalable-applications, system-design</sup></sub>
 
-### [camelot](https://github.com/camelot-dev/camelot) by [camelot-dev](https://github.com/camelot-dev)  
-camelot: A Python library to extract tabular data from PDFs  
-[https://camelot-py.readthedocs.io](https://camelot-py.readthedocs.io)  
-[https://github.com/camelot-dev/camelot](https://github.com/camelot-dev/camelot)  
-9.72 stars per week over 179 weeks  
-1,743 stars, 330 forks, 39 watches  
-[util](categories/util.md) category, created 2019-07-01, last commit 2021-07-11, main language Python  
 
+### [deepmd-kit](https://github.com/deepmodeling/deepmd-kit) by [deepmodeling](https://github.com/deepmodeling)  
+deepmd-kit: A deep learning package for many-body potential energy representation and molecular dynamics  
+[https://docs.deepmodeling.com/projects/deepmd/](https://docs.deepmodeling.com/projects/deepmd/)  
+[https://github.com/deepmodeling/deepmd-kit](https://github.com/deepmodeling/deepmd-kit)  
+3.88 stars per week over 272 weeks  
+1,057 stars, 401 forks, 45 watches  
+[sim](categories/sim.md) category, created 2017-12-12, last commit 2022-12-19, main language C++  
+<sub><sup>ase, computational-chemistry, cpp, cuda, deep-learning, deepmd, ipi, lammps, materials-science, molecular-dynamics, potential-energy, python, rocm, tensorflow</sup></sub>
 
-### [sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk) by [aws](https://github.com/aws)  
-sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker  
-[https://sagemaker.readthedocs.io/](https://sagemaker.readthedocs.io/)  
-[https://github.com/aws/sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk)  
-6.59 stars per week over 264 weeks  
-1,740 stars, 899 forks, 131 watches  
-[ml](categories/ml.md) category, created 2017-11-14, last commit 2022-12-07, main language Python  
-<sub><sup>aws, huggingface, machine-learning, mxnet, python, pytorch, sagemaker, tensorflow</sup></sub>
 
+### [PyTables](https://github.com/pytables/pytables) by [pytables](https://github.com/pytables)  
+PyTables: A Python package to manage extremely large amounts of data  
+[http://www.pytables.org](http://www.pytables.org)  
+[https://github.com/pytables/pytables](https://github.com/pytables/pytables)  
+1.94 stars per week over 613 weeks  
+1,190 stars, 241 forks, 58 watches  
+[data](categories/data.md) category, created 2011-06-03, last commit 2023-02-09, main language Python  
 
-### [stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos) by [nateraw](https://github.com/nateraw)  
-stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts  
-[https://github.com/nateraw/stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos)  
-131 stars per week over 13 weeks  
-1,722 stars, 151 forks, 19 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-06, last commit 2022-12-05, main language Python  
-<sub><sup>ai-art, huggingface, huggingface-diffusers, machine-learning, stable-diffusion</sup></sub>
 
+### [fugue](https://github.com/fugue-project/fugue) by [fugue-project](https://github.com/fugue-project)  
+fugue: A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.  
+[https://fugue-tutorials.readthedocs.io/](https://fugue-tutorials.readthedocs.io/)  
+[https://github.com/fugue-project/fugue](https://github.com/fugue-project/fugue)  
+8.11 stars per week over 153 weeks  
+1,246 stars, 66 forks, 20 watches  
+[data](categories/data.md) category, created 2020-03-24, last commit 2023-02-23, main language Python  
+<sub><sup>dask, data-practitioners, distributed, distributed-computing, distributed-systems, machine-learning, pandas, spark, sql</sup></sub>
 
-### [gin-config](https://github.com/google/gin-config) by [google](https://github.com/google)  
-gin-config: Gin provides a lightweight configuration framework for Python  
-[https://github.com/google/gin-config](https://github.com/google/gin-config)  
-7.35 stars per week over 232 weeks  
-1,705 stars, 107 forks, 22 watches  
-[util](categories/util.md) category, created 2018-06-27, last commit 2022-12-05, main language Python  
-<sub><sup>configuration-management, python, tensorflow, tensorflow-experiments</sup></sub>
+
+### [pytest-mock](https://github.com/pytest-dev/pytest-mock) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-mock: Thin-wrapper around the mock package for easier use with pytest  
+[https://pytest-mock.readthedocs.io/en/latest/](https://pytest-mock.readthedocs.io/en/latest/)  
+[https://github.com/pytest-dev/pytest-mock](https://github.com/pytest-dev/pytest-mock)  
+3.42 stars per week over 450 weeks  
+1,541 stars, 122 forks, 33 watches  
+[testing](categories/testing.md) category, created 2014-07-17, last commit 2023-02-27, main language Python  
+<sub><sup>hacktoberfest, mock, pytest</sup></sub>
 
 
-### [pyparsing](https://github.com/pyparsing/pyparsing)  
-pyparsing: Python library for creating PEG parsers  
-[https://github.com/pyparsing/pyparsing](https://github.com/pyparsing/pyparsing)  
-5.87 stars per week over 290 weeks  
-1,704 stars, 236 forks, 23 watches  
-[util](categories/util.md) category, created 2017-05-14, last commit 2022-11-11, main language Python  
-<sub><sup>parser-combinators, parsing, parsing-expression-grammar, parsing-library, peg-parsers, python, python-2, python-3, python2, python3, text-processing</sup></sub>
+### [fastRAG](https://github.com/intellabs/fastrag) by [intellabs](https://github.com/intellabs)  
+fastRAG: Efficient Retrieval Augmentation and Generation Framework  
+[https://github.com/intellabs/fastrag](https://github.com/intellabs/fastrag)  
+23 stars per week over 5 weeks  
+135 stars, 10 forks, 2 watches  
+[nlp](categories/nlp.md) category, created 2023-01-23, last commit 2023-03-01, main language Python  
+<sub><sup>benchmark, colbert, diffusion, information-retrieval, knowledge-graph, multi-modal, nlp, question-answering, semantic-search, sentence-transformers, summarization, transformers</sup></sub>
+
+
+### [movingpandas](https://github.com/anitagraser/movingpandas) by [anitagraser](https://github.com/anitagraser)  
+movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas  
+[http://movingpandas.org](http://movingpandas.org)  
+[https://github.com/anitagraser/movingpandas](https://github.com/anitagraser/movingpandas)  
+4.24 stars per week over 220 weeks  
+932 stars, 170 forks, 37 watches  
+[gis](categories/gis.md) category, created 2018-12-16, last commit 2023-02-16, main language Python  
+<sub><sup>geopandas, movement-data, python, spatial-data-analysis, trajectory, trajectory-analysis</sup></sub>
 
 
 ### [koila](https://github.com/rentruewang/koila) by [rentruewang](https://github.com/rentruewang)  
 koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.  
 [https://rentruewang.github.io/koila](https://rentruewang.github.io/koila)  
 [https://github.com/rentruewang/koila](https://github.com/rentruewang/koila)  
-30 stars per week over 55 weeks  
-1,686 stars, 58 forks, 11 watches  
-[ml](categories/ml.md) category, created 2021-11-17, last commit 2022-11-26, main language Python  
+25 stars per week over 67 weeks  
+1,720 stars, 63 forks, 11 watches  
+[ml](categories/ml.md) category, created 2021-11-17, last commit 2023-02-28, main language Python  
 <sub><sup>deep-learning, gradient-accumulation, lazy-evaluation, machine-learning, memory-management, neural-network, out-of-memory, python, pytorch</sup></sub>
 
 
-### [flask-restx](https://github.com/python-restx/flask-restx) by [python-restx](https://github.com/python-restx)  
-flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask  
-[https://flask-restx.readthedocs.io/en/latest/](https://flask-restx.readthedocs.io/en/latest/)  
-[https://github.com/python-restx/flask-restx](https://github.com/python-restx/flask-restx)  
-11 stars per week over 151 weeks  
-1,682 stars, 283 forks, 64 watches  
-[web](categories/web.md) category, created 2020-01-09, last commit 2022-11-02, main language Python  
-<sub><sup>api, flask, json, python, rest, restful, restplus, restx, swagger</sup></sub>
+### [cartopy](https://github.com/scitools/cartopy) by [scitools](https://github.com/scitools)  
+Cartopy - a cartographic python library with matplotlib support  
+[https://scitools.org.uk/cartopy/docs/latest](https://scitools.org.uk/cartopy/docs/latest)  
+[https://github.com/scitools/cartopy](https://github.com/scitools/cartopy)  
+2.15 stars per week over 552 weeks  
+1,185 stars, 338 forks, 56 watches  
+[gis](categories/gis.md) category, created 2012-08-03, last commit 2023-02-28, main language Python  
+<sub><sup>cartopy, geometry, maps, matplotlib, projections, python, spatial</sup></sub>
 
 
-### [pyLDAvis](https://github.com/bmabey/pyldavis) by [bmabey](https://github.com/bmabey)  
-pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.  
-[https://github.com/bmabey/pyldavis](https://github.com/bmabey/pyldavis)  
-4.17 stars per week over 399 weeks  
-1,667 stars, 340 forks, 57 watches  
-[ml](categories/ml.md) category, created 2015-04-09, last commit 2021-03-24, main language Jupyter Notebook  
+### [tavern](https://github.com/taverntesting/tavern) by [taverntesting](https://github.com/taverntesting)  
+tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax  
+[https://taverntesting.github.io/](https://taverntesting.github.io/)  
+[https://github.com/taverntesting/tavern](https://github.com/taverntesting/tavern)  
+3.28 stars per week over 278 weeks  
+913 stars, 182 forks, 28 watches  
+[testing](categories/testing.md) category, created 2017-11-01, last commit 2023-02-16, main language Python  
+<sub><sup>http, mqtt, pytest, python, test-automation, testing</sup></sub>
 
 
-### [alembic](https://github.com/sqlalchemy/alembic) by [sqlalchemy](https://github.com/sqlalchemy)  
-alembic: A database migrations tool for SQLAlchemy.  
-[https://github.com/sqlalchemy/alembic](https://github.com/sqlalchemy/alembic)  
-7.89 stars per week over 210 weeks  
-1,659 stars, 170 forks, 18 watches  
-[data](categories/data.md) category, created 2018-11-27, last commit 2022-11-28, main language Python  
-<sub><sup>python, sql, sqlalchemy</sup></sub>
+### [sqlacodegen](https://github.com/agronholm/sqlacodegen) by [agronholm](https://github.com/agronholm)  
+sqlacodegen: Automatic model code generator for SQLAlchemy  
+[https://github.com/agronholm/sqlacodegen](https://github.com/agronholm/sqlacodegen)  
+4.05 stars per week over 322 weeks  
+1,307 stars, 200 forks, 21 watches  
+[data](categories/data.md) category, created 2016-12-28, last commit 2023-03-04, main language Python  
 
 
-### [greykite](https://github.com/linkedin/greykite) by [linkedin](https://github.com/linkedin)  
-greykite: A flexible, intuitive and fast forecasting library  
-[https://github.com/linkedin/greykite](https://github.com/linkedin/greykite)  
-19 stars per week over 84 weeks  
-1,648 stars, 87 forks, 37 watches  
-[ml](categories/ml.md) category, created 2021-04-27, last commit 2022-08-31, main language Python  
+### [lazypredict](https://github.com/shankarpandala/lazypredict) by [shankarpandala](https://github.com/shankarpandala)  
+lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning  
+[https://github.com/shankarpandala/lazypredict](https://github.com/shankarpandala/lazypredict)  
+10 stars per week over 172 weeks  
+1,874 stars, 212 forks, 23 watches  
+[ml](categories/ml.md) category, created 2019-11-16, last commit 2022-09-28, main language Python  
+<sub><sup>automl, classification, machine-learning, regression</sup></sub>
 
 
-### [NeuroNER](https://github.com/franck-dernoncourt/neuroner) by [franck-dernoncourt](https://github.com/franck-dernoncourt)  
-NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.  
-[http://neuroner.com](http://neuroner.com)  
-[https://github.com/franck-dernoncourt/neuroner](https://github.com/franck-dernoncourt/neuroner)  
-5.45 stars per week over 300 weeks  
-1,637 stars, 482 forks, 84 watches  
-[nlp](categories/nlp.md) category, created 2017-03-07, last commit 2019-10-02, main language Python  
-<sub><sup>deep-learning, machine-learning, named-entity-recognition, neural-networks, nlp, tensorflow</sup></sub>
+### [pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-asyncio: Asyncio support for pytest  
+[https://pytest-asyncio.readthedocs.io](https://pytest-asyncio.readthedocs.io)  
+[https://github.com/pytest-dev/pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio)  
+2.68 stars per week over 412 weeks  
+1,106 stars, 118 forks, 35 watches  
+[testing](categories/testing.md) category, created 2015-04-11, last commit 2023-02-25, main language Python  
 
 
-### [pyscaffold](https://github.com/pyscaffold/pyscaffold)  
-pyscaffold: 🛠 Python project template generator with batteries included  
-[https://pyscaffold.org](https://pyscaffold.org)  
-[https://github.com/pyscaffold/pyscaffold](https://github.com/pyscaffold/pyscaffold)  
-3.61 stars per week over 453 weeks  
-1,636 stars, 169 forks, 39 watches  
-[template](categories/template.md) category, created 2014-04-02, last commit 2022-11-28, main language Python  
-<sub><sup>distribution, git, package, package-creation, project-template, python, release-automation, template-project</sup></sub>
+### [textgenrnn](https://github.com/minimaxir/textgenrnn) by [minimaxir](https://github.com/minimaxir)  
+textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.  
+[https://github.com/minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)  
+16 stars per week over 290 weeks  
+4,867 stars, 751 forks, 138 watches  
+[nlp](categories/nlp.md) category, created 2017-08-07, last commit 2020-07-14, main language Python  
+<sub><sup>deep-learning, keras, python, tensorflow, text-generation</sup></sub>
 
 
-### [coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization) by [amanchadha](https://github.com/amanchadha)  
-coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models  
-[https://github.com/amanchadha/coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization)  
-12 stars per week over 128 weeks  
-1,634 stars, 1,442 forks, 16 watches  
-[study](categories/study.md) category, created 2020-06-24, last commit 2022-02-07, main language Jupyter Notebook  
-<sub><sup>andrew-ng, andrew-ng-course, cnns, convolutional-neural-network, convolutional-neural-networks, coursera, coursera-assignment, coursera-machine-learning, coursera-specialization, deep-learning, hyperparameter-optimization, hyperparameter-tuning, neural-machine-translation, neural-network, neural-networks, neural-style-transfer, recurrent-neural-network, recurrent-neural-networks, regularization, rnns</sup></sub>
+### [py-shiny](https://github.com/rstudio/py-shiny) by [rstudio](https://github.com/rstudio)  
+py-shiny: Shiny for Python  
+[https://shiny.rstudio.com/py/](https://shiny.rstudio.com/py/)  
+[https://github.com/rstudio/py-shiny](https://github.com/rstudio/py-shiny)  
+4.05 stars per week over 83 weeks  
+339 stars, 20 forks, 23 watches  
+[web](categories/web.md) category, created 2021-07-27, last commit 2023-03-04, main language JavaScript  
 
 
-### [ipdb](https://github.com/gotcha/ipdb) by [gotcha](https://github.com/gotcha)  
-ipdb: Integration of IPython pdb  
-[https://github.com/gotcha/ipdb](https://github.com/gotcha/ipdb)  
-2.63 stars per week over 620 weeks  
-1,633 stars, 143 forks, 27 watches  
-[debug](categories/debug.md) category, created 2011-01-15, last commit 2021-12-30, main language Python  
-<sub><sup>debugger, ipython, python</sup></sub>
+### [kedro-viz](https://github.com/kedro-org/kedro-viz) by [kedro-org](https://github.com/kedro-org)  
+kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments.   
+[https://demo.kedro.org/](https://demo.kedro.org/)  
+[https://github.com/kedro-org/kedro-viz](https://github.com/kedro-org/kedro-viz)  
+2.63 stars per week over 199 weeks  
+525 stars, 87 forks, 11 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-05-09, last commit 2023-03-02, main language JavaScript  
+<sub><sup>data-visualization, experiment-tracking, hacktoberfest, kedro, kedro-plugin, python, react</sup></sub>
 
 
-### [marqo](https://github.com/marqo-ai/marqo) by [marqo-ai](https://github.com/marqo-ai)  
-marqo: Tensor search for humans.  
-[https://www.marqo.ai/](https://www.marqo.ai/)  
-[https://github.com/marqo-ai/marqo](https://github.com/marqo-ai/marqo)  
-88 stars per week over 18 weeks  
-1,624 stars, 61 forks, 19 watches  
-[ml](categories/ml.md) category, created 2022-08-01, last commit 2022-12-07, main language Python  
-<sub><sup>clip, deep-learning, hacktoberfest, hacktoberfest-accepted, hnsw, information-retrieval, knn, machine-learning, machinelearning, multi-modal, natural-language-processing, search, search-engine, semantic-search, tensor-search, timm, transformers, vector-search, vision-language, visual-search</sup></sub>
+### [sqlite-utils](https://github.com/simonw/sqlite-utils) by [simonw](https://github.com/simonw)  
+sqlite-utils: Python CLI utility and library for manipulating SQLite databases  
+[https://sqlite-utils.datasette.io](https://sqlite-utils.datasette.io)  
+[https://github.com/simonw/sqlite-utils](https://github.com/simonw/sqlite-utils)  
+4.57 stars per week over 242 weeks  
+1,106 stars, 84 forks, 19 watches  
+[data](categories/data.md) category, created 2018-07-14, last commit 2022-12-10, main language Python  
+<sub><sup>cli, click, datasette, datasette-io, datasette-tool, python, sqlite, sqlite-database</sup></sub>
 
 
-### [python-diskcache](https://github.com/grantjenks/python-diskcache) by [grantjenks](https://github.com/grantjenks)  
-python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.  
-[http://www.grantjenks.com/docs/diskcache/](http://www.grantjenks.com/docs/diskcache/)  
-[https://github.com/grantjenks/python-diskcache](https://github.com/grantjenks/python-diskcache)  
-4.53 stars per week over 357 weeks  
-1,617 stars, 106 forks, 18 watches  
-[util](categories/util.md) category, created 2016-02-03, last commit 2022-02-20, main language Python  
-<sub><sup>cache, filesystem, key-value-store, persistence, python</sup></sub>
+### [scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex) by [intel](https://github.com/intel)  
+scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application  
+[https://intel.github.io/scikit-learn-intelex/](https://intel.github.io/scikit-learn-intelex/)  
+[https://github.com/intel/scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex)  
+3.78 stars per week over 238 weeks  
+902 stars, 148 forks, 28 watches  
+[perf](categories/perf.md) category, created 2018-08-07, last commit 2023-03-03, main language Python  
+<sub><sup>ai-inference, ai-machine-learning, ai-training, analytics, big-data, data-analysis, gpu, intel, machine-learning, machine-learning-algorithms, oneapi, python, scikit-learn, swrepo</sup></sub>
 
 
-### [cryptofeed](https://github.com/bmoscon/cryptofeed) by [bmoscon](https://github.com/bmoscon)  
-cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler  
-[https://github.com/bmoscon/cryptofeed](https://github.com/bmoscon/cryptofeed)  
-6.18 stars per week over 259 weeks  
-1,605 stars, 517 forks, 75 watches  
-[crypto](categories/crypto.md) category, created 2017-12-16, last commit 2022-12-02, main language Python  
-<sub><sup>asyncio, binance, bitcoin, btc, coinbase, coinbase-api, crypto, cryptocurrencies, cryptocurrency, ethereum, exchange, ftx-exchange, influxdb, market-data, python, trading, trading-platform, websocket, websockets</sup></sub>
+### [pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2) by [pyfilesystem](https://github.com/pyfilesystem)  
+pyfilesystem2: Python's Filesystem abstraction layer  
+[https://www.pyfilesystem.org](https://www.pyfilesystem.org)  
+[https://github.com/pyfilesystem/pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2)  
+5.47 stars per week over 333 weeks  
+1,822 stars, 173 forks, 46 watches  
+[util](categories/util.md) category, created 2016-10-14, last commit 2022-10-18, main language Python  
+<sub><sup>filesystem, filesystem-library, ftp, pyfilesystem, pyfilesystem2, python, tar, zip</sup></sub>
 
 
 ### [FARM](https://github.com/deepset-ai/farm) by [deepset-ai](https://github.com/deepset-ai)  
 FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.  
 [https://farm.deepset.ai](https://farm.deepset.ai)  
 [https://github.com/deepset-ai/farm](https://github.com/deepset-ai/farm)  
-9.03 stars per week over 177 weeks  
-1,598 stars, 231 forks, 56 watches  
+8.61 stars per week over 189 weeks  
+1,632 stars, 233 forks, 54 watches  
 [nlp](categories/nlp.md) category, created 2019-07-17, last commit 2022-08-31, main language Python  
 <sub><sup>bert, deep-learning, germanbert, language-models, ner, nlp, nlp-framework, nlp-library, pretrained-models, pytorch, question-answering, roberta, transfer-learning, xlnet-pytorch</sup></sub>
 
 
-### [aitextgen](https://github.com/minimaxir/aitextgen) by [minimaxir](https://github.com/minimaxir)  
-aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.  
-[https://docs.aitextgen.io](https://docs.aitextgen.io)  
-[https://github.com/minimaxir/aitextgen](https://github.com/minimaxir/aitextgen)  
-10 stars per week over 153 weeks  
-1,593 stars, 181 forks, 37 watches  
-[nlp](categories/nlp.md) category, created 2019-12-29, last commit 2022-08-09, main language Python  
+### [fastapi-crudrouter](https://github.com/awtkns/fastapi-crudrouter) by [awtkns](https://github.com/awtkns)  
+fastapi-crudrouter: A dynamic FastAPI router that automatically creates CRUD routes for your models  
+[https://fastapi-crudrouter.awtkns.com](https://fastapi-crudrouter.awtkns.com)  
+[https://github.com/awtkns/fastapi-crudrouter](https://github.com/awtkns/fastapi-crudrouter)  
+8.95 stars per week over 115 weeks  
+1,030 stars, 122 forks, 12 watches  
+[web](categories/web.md) category, created 2020-12-19, last commit 2023-01-28, main language Python  
+<sub><sup>api, async, asyncio, code-generation, crud, crud-routes, fastapi, fastapi-crudrouter, framework, openapi, openapi-route, python, python3, redoc, rest, sql, swagger-ui, web</sup></sub>
 
 
-### [addons](https://github.com/tensorflow/addons) by [tensorflow](https://github.com/tensorflow)  
-addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons  
-[https://github.com/tensorflow/addons](https://github.com/tensorflow/addons)  
-7.55 stars per week over 210 weeks  
-1,587 stars, 594 forks, 57 watches  
-[ml](categories/ml.md) category, created 2018-11-26, last commit 2022-11-23, main language Python  
-<sub><sup>deep-learning, machine-learning, neural-network, python, tensorflow, tensorflow-addons</sup></sub>
+### [snakeviz](https://github.com/jiffyclub/snakeviz) by [jiffyclub](https://github.com/jiffyclub)  
+snakeviz: An in-browser Python profile viewer  
+[https://jiffyclub.github.io/snakeviz/](https://jiffyclub.github.io/snakeviz/)  
+[https://github.com/jiffyclub/snakeviz](https://github.com/jiffyclub/snakeviz)  
+3.39 stars per week over 557 weeks  
+1,889 stars, 129 forks, 23 watches  
+[profiling](categories/profiling.md) category, created 2012-06-26, last commit 2023-02-17, main language Python  
 
 
-### [torchio](https://github.com/fepegar/torchio) by [fepegar](https://github.com/fepegar)  
-torchio: Medical imaging toolkit for deep learning  
-[http://www.torchio.org](http://www.torchio.org)  
-[https://github.com/fepegar/torchio](https://github.com/fepegar/torchio)  
-9.93 stars per week over 158 weeks  
-1,570 stars, 195 forks, 14 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-11-26, last commit 2022-11-19, main language Python  
-<sub><sup>augmentation, data-augmentation, deep-learning, machine-learning, medical-image-analysis, medical-image-computing, medical-image-processing, medical-images, medical-imaging-datasets, medical-imaging-with-deep-learning, python, pytorch</sup></sub>
+### [titiler](https://github.com/developmentseed/titiler) by [developmentseed](https://github.com/developmentseed)  
+titiler: Build your own Raster dynamic map tile services  
+[https://developmentseed.org/titiler/](https://developmentseed.org/titiler/)  
+[https://github.com/developmentseed/titiler](https://github.com/developmentseed/titiler)  
+2.51 stars per week over 192 weeks  
+482 stars, 103 forks, 18 watches  
+[gis](categories/gis.md) category, created 2019-06-28, last commit 2023-03-01, main language Python  
+<sub><sup>aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile</sup></sub>
 
 
-### [example-code-2e](https://github.com/fluentpython/example-code-2e) by [fluentpython](https://github.com/fluentpython)  
-example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022)   
-[https://amzn.to/3J48u2J](https://amzn.to/3J48u2J)  
-[https://github.com/fluentpython/example-code-2e](https://github.com/fluentpython/example-code-2e)  
-8.08 stars per week over 193 weeks  
-1,566 stars, 458 forks, 52 watches  
-[study](categories/study.md) category, created 2019-03-21, last commit 2022-04-24, main language Python  
-<sub><sup>concurrency, iterators, metaprogramming, python, python3, special-methods</sup></sub>
+### [VQGAN-CLIP](https://github.com/nerdyrodent/vqgan-clip) by [nerdyrodent](https://github.com/nerdyrodent)  
+VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.  
+[https://github.com/nerdyrodent/vqgan-clip](https://github.com/nerdyrodent/vqgan-clip)  
+27 stars per week over 87 weeks  
+2,373 stars, 410 forks, 53 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-07-02, last commit 2022-10-02, main language Python  
+<sub><sup>text-to-image, text2image</sup></sub>
 
 
-### [PettingZoo](https://github.com/pettingzoo-team/pettingzoo) by [pettingzoo-team](https://github.com/pettingzoo-team)  
-PettingZoo: Gymnasium for multi-agent reinforcement learning  
-[https://pettingzoo.farama.org](https://pettingzoo.farama.org)  
-[https://github.com/pettingzoo-team/pettingzoo](https://github.com/pettingzoo-team/pettingzoo)  
-10 stars per week over 150 weeks  
-1,560 stars, 249 forks, 16 watches  
-[sim](categories/sim.md) category, created 2020-01-20, last commit 2022-11-15, main language Python  
+### [FEDOT](https://github.com/nccr-itmo/fedot) by [nccr-itmo](https://github.com/nccr-itmo)  
+FEDOT: Automated modeling and machine learning framework FEDOT  
+[https://fedot.readthedocs.io](https://fedot.readthedocs.io)  
+[https://github.com/nccr-itmo/fedot](https://github.com/nccr-itmo/fedot)  
+3.03 stars per week over 163 weeks  
+497 stars, 70 forks, 10 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-01-13, last commit 2023-02-27, main language Python  
+<sub><sup>automated-machine-learning, automation, automl, evolutionary-algorithms, fedot, genetic-programming, hyperparameter-optimization, machine-learning, multimodality, parameter-tuning, structural-learning</sup></sub>
 
 
-### [QuantEcon.py](https://github.com/quantecon/quantecon.py) by [quantecon](https://github.com/quantecon)  
-QuantEcon.py: A community based Python library for quantitative economics  
-[https://quantecon.org/quantecon-py/](https://quantecon.org/quantecon-py/)  
-[https://github.com/quantecon/quantecon.py](https://github.com/quantecon/quantecon.py)  
-3.08 stars per week over 506 weeks  
-1,560 stars, 2,100 forks, 150 watches  
-[sim](categories/sim.md) category, created 2013-03-22, last commit 2022-12-04, main language Python  
+### [pattern](https://github.com/clips/pattern) by [clips](https://github.com/clips)  
+pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.  
+[https://github.com/clips/pattern/wiki](https://github.com/clips/pattern/wiki)  
+[https://github.com/clips/pattern](https://github.com/clips/pattern)  
+13 stars per week over 617 weeks  
+8,428 stars, 1,597 forks, 547 watches  
+[nlp](categories/nlp.md) category, created 2011-05-03, last commit 2020-04-25, main language Python  
+<sub><sup>machine-learning, natural-language-processing, network-analysis, python, sentiment-analysis, web-mining, wordnet</sup></sub>
 
 
-### [machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener) by [alirezadir](https://github.com/alirezadir)  
-machine-learning-interview-enlightener: This repo is meant to serve as a guide for Machine Learning/AI technical interviews.   
-[https://github.com/alirezadir/machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener)  
-16 stars per week over 96 weeks  
-1,557 stars, 327 forks, 47 watches  
-[study](categories/study.md) category, created 2021-01-31, last commit 2022-05-25, main language Jupyter Notebook  
-<sub><sup>ai, deep-learning, interview, interview-practice, interview-preparation, interviews, machine-learning, machine-learning-algorithms, scalable-applications, system-design</sup></sub>
+### [BlackSheep](https://github.com/neoteroi/blacksheep) by [neoteroi](https://github.com/neoteroi)  
+BlackSheep: Fast ASGI web framework for Python  
+[https://www.neoteroi.dev/blacksheep/](https://www.neoteroi.dev/blacksheep/)  
+[https://github.com/neoteroi/blacksheep](https://github.com/neoteroi/blacksheep)  
+5.29 stars per week over 223 weeks  
+1,182 stars, 52 forks, 23 watches  
+[web](categories/web.md) category, created 2018-11-22, last commit 2023-02-17, main language Python  
+<sub><sup>asgi, asyncio, blacksheep, framework, http, http-server, python, server, web</sup></sub>
 
 
-### [orbit](https://github.com/uber/orbit) by [uber](https://github.com/uber)  
-orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.  
-[https://orbit-ml.readthedocs.io/en/stable/](https://orbit-ml.readthedocs.io/en/stable/)  
-[https://github.com/uber/orbit](https://github.com/uber/orbit)  
-10 stars per week over 152 weeks  
-1,553 stars, 115 forks, 31 watches  
-[time-series](categories/time-series.md) category, created 2020-01-07, last commit 2022-11-30, main language Python  
-<sub><sup>arima, bayesian, bayesian-methods, bayesian-statistics, changepoint, exponential-smoothing, forecast, forecasting, machine-learning, orbit, probabilistic, probabilistic-programming, pyro, pystan, python, pytorch, regression, regression-models, stan, time-series</sup></sub>
+### [mangum](https://github.com/jordaneremieff/mangum) by [jordaneremieff](https://github.com/jordaneremieff)  
+mangum: AWS Lambda support for ASGI applications  
+[https://mangum.io/](https://mangum.io/)  
+[https://github.com/jordaneremieff/mangum](https://github.com/jordaneremieff/mangum)  
+5.67 stars per week over 215 weeks  
+1,224 stars, 80 forks, 16 watches  
+[web](categories/web.md) category, created 2019-01-14, last commit 2022-11-27, main language Python  
+<sub><sup>api-gateway, asgi, asyncio, aws, aws-lambda, django, fastapi, lambda, python, python3, quart, sanic, serverless, starlette</sup></sub>
 
 
-### [ecco](https://github.com/jalammar/ecco) by [jalammar](https://github.com/jalammar)  
-ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).  
-[https://ecco.readthedocs.io](https://ecco.readthedocs.io)  
-[https://github.com/jalammar/ecco](https://github.com/jalammar/ecco)  
-14 stars per week over 108 weeks  
-1,549 stars, 108 forks, 20 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2020-11-07, last commit 2022-01-18, main language Jupyter Notebook  
-<sub><sup>explorables, language-models, natural-language-processing, nlp, pytorch, visualization</sup></sub>
+### [torchtyping](https://github.com/patrick-kidger/torchtyping) by [patrick-kidger](https://github.com/patrick-kidger)  
+torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.  
+[https://github.com/patrick-kidger/torchtyping](https://github.com/patrick-kidger/torchtyping)  
+11 stars per week over 101 weeks  
+1,202 stars, 28 forks, 14 watches  
+[typing](categories/typing.md) category, created 2021-03-28, last commit 2023-01-20, main language Python  
+<sub><sup>named-tensors, python-typing, pytorch, shape, tensors, typing</sup></sub>
 
 
-### [magnitude](https://github.com/plasticityai/magnitude) by [plasticityai](https://github.com/plasticityai)  
-magnitude: A fast, efficient universal vector embedding utility package.  
-[https://github.com/plasticityai/magnitude](https://github.com/plasticityai/magnitude)  
-6.18 stars per week over 249 weeks  
-1,542 stars, 113 forks, 37 watches  
-[nlp](categories/nlp.md) category, created 2018-02-24, last commit 2020-07-17, main language Python  
-<sub><sup>embeddings, fast, fasttext, gensim, glove, machine-learning, machine-learning-library, memory-efficient, natural-language-processing, nlp, python, vectors, word-embeddings, word2vec</sup></sub>
+### [scholarly](https://github.com/scholarly-python-package/scholarly) by [scholarly-python-package](https://github.com/scholarly-python-package)  
+scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!  
+[https://scholarly.readthedocs.io/](https://scholarly.readthedocs.io/)  
+[https://github.com/scholarly-python-package/scholarly](https://github.com/scholarly-python-package/scholarly)  
+2.05 stars per week over 430 weeks  
+883 stars, 254 forks, 25 watches  
+[data](categories/data.md) category, created 2014-12-02, last commit 2023-01-16, main language Python  
+<sub><sup>citation-analysis, citation-index, citation-network, citations, googlescholar, publication-data, python, python-3, python3, scholar, scholarly-articles, scholarly-communications</sup></sub>
+
+
+### [pudb](https://github.com/inducer/pudb) by [inducer](https://github.com/inducer)  
+pudb: Full-screen console debugger for Python  
+[https://documen.tician.de/pudb/](https://documen.tician.de/pudb/)  
+[https://github.com/inducer/pudb](https://github.com/inducer/pudb)  
+4.22 stars per week over 616 weeks  
+2,601 stars, 217 forks, 47 watches  
+[debug](categories/debug.md) category, created 2011-05-13, last commit 2023-01-10, main language Python  
+<sub><sup>bpython, debug, debugger, ipython, pdb, pytest, pytest-plugin, python, urwid</sup></sub>
+
+
+### [PandasGUI](https://github.com/adamerose/pandasgui) by [adamerose](https://github.com/adamerose)  
+PandasGUI: A GUI for Pandas DataFrames  
+[https://github.com/adamerose/pandasgui](https://github.com/adamerose/pandasgui)  
+14 stars per week over 194 weeks  
+2,853 stars, 195 forks, 54 watches  
+[pandas](categories/pandas.md) category, created 2019-06-12, last commit 2022-03-16, main language Python  
+<sub><sup>dataframe, gui, pandas, viewer</sup></sub>
+
+
+### [astronomer](https://github.com/astronomer/astronomer)  
+astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes  
+[https://www.astronomer.io](https://www.astronomer.io)  
+[https://github.com/astronomer/astronomer](https://github.com/astronomer/astronomer)  
+1.64 stars per week over 267 weeks  
+440 stars, 81 forks, 44 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-01-15, last commit 2023-03-03, main language Python  
+<sub><sup>apache-airflow, astronomer-platform, docker, kubernetes</sup></sub>
+
+
+### [stellargraph](https://github.com/stellargraph/stellargraph)  
+StellarGraph - Machine Learning on Graphs  
+[https://stellargraph.readthedocs.io/](https://stellargraph.readthedocs.io/)  
+[https://github.com/stellargraph/stellargraph](https://github.com/stellargraph/stellargraph)  
+10 stars per week over 255 weeks  
+2,637 stars, 401 forks, 61 watches  
+[graph](categories/graph.md) category, created 2018-04-13, last commit 2021-10-29, main language Python  
+<sub><sup>data-science, deep-learning, gcn, geometric-deep-learning, graph-analysis, graph-convolutional-networks, graph-data, graph-machine-learning, graph-neural-networks, graphs, heterogeneous-networks, interpretability, link-prediction, machine-learning, machine-learning-algorithms, networkx, python, saliency-map, stellargraph-library</sup></sub>
+
+
+### [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) by [sentinel-hub](https://github.com/sentinel-hub)  
+sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.  
+[http://sentinelhub-py.readthedocs.io/en/latest/](http://sentinelhub-py.readthedocs.io/en/latest/)  
+[https://github.com/sentinel-hub/sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py)  
+2.24 stars per week over 302 weeks  
+677 stars, 219 forks, 47 watches  
+[gis](categories/gis.md) category, created 2017-05-17, last commit 2023-02-24, main language Python  
+<sub><sup>aws, ogc-services, python-library, satellite-imagery, sentinel-hub</sup></sub>
+
+
+### [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) by [jupyter-widgets](https://github.com/jupyter-widgets)  
+ipyleaflet: A Jupyter - Leaflet.js bridge  
+[https://ipyleaflet.readthedocs.io](https://ipyleaflet.readthedocs.io)  
+[https://github.com/jupyter-widgets/ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet)  
+2.89 stars per week over 460 weeks  
+1,332 stars, 351 forks, 61 watches  
+[gis](categories/gis.md) category, created 2014-05-07, last commit 2023-02-10, main language JavaScript  
+<sub><sup>jupyter, jupyterlab-extension, leaflet, visualization</sup></sub>
 
 
-### [Pipe](https://github.com/julienpalard/pipe) by [julienpalard](https://github.com/julienpalard)  
-Pipe: A Python library to use infix notation in Python  
-[https://github.com/julienpalard/pipe](https://github.com/julienpalard/pipe)  
-2.33 stars per week over 660 weeks  
-1,540 stars, 101 forks, 25 watches  
-[util](categories/util.md) category, created 2010-04-08, last commit 2022-11-16, main language Python  
+### [ecco](https://github.com/jalammar/ecco) by [jalammar](https://github.com/jalammar)  
+ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).  
+[https://ecco.readthedocs.io](https://ecco.readthedocs.io)  
+[https://github.com/jalammar/ecco](https://github.com/jalammar/ecco)  
+13 stars per week over 121 weeks  
+1,615 stars, 118 forks, 21 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2020-11-07, last commit 2022-01-18, main language Jupyter Notebook  
+<sub><sup>explorables, language-models, natural-language-processing, nlp, pytorch, visualization</sup></sub>
 
 
-### [petastorm](https://github.com/uber/petastorm) by [uber](https://github.com/uber)  
-Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.  
-[https://github.com/uber/petastorm](https://github.com/uber/petastorm)  
-6.57 stars per week over 233 weeks  
-1,536 stars, 265 forks, 41 watches  
-[data](categories/data.md) category, created 2018-06-15, last commit 2022-09-14, main language Python  
-<sub><sup>deep-learning, machine-learning, parquet, parquet-files, pyarrow, pyspark, pytorch, sysml, tensorflow</sup></sub>
+### [prettytable](https://github.com/jazzband/prettytable) by [jazzband](https://github.com/jazzband)  
+prettytable: Display tabular data in a visually appealing ASCII table format  
+[https://pypi.org/project/PrettyTable/](https://pypi.org/project/PrettyTable/)  
+[https://github.com/jazzband/prettytable](https://github.com/jazzband/prettytable)  
+2.6 stars per week over 372 weeks  
+968 stars, 122 forks, 20 watches  
+[term](categories/term.md) category, created 2016-01-15, last commit 2023-03-02, main language Python  
+<sub><sup>package, python, python-3, utility-library</sup></sub>
 
 
-### [shiv](https://github.com/linkedin/shiv) by [linkedin](https://github.com/linkedin)  
-shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.  
-[https://github.com/linkedin/shiv](https://github.com/linkedin/shiv)  
-6.19 stars per week over 247 weeks  
-1,530 stars, 84 forks, 26 watches  
-[util](categories/util.md) category, created 2018-03-13, last commit 2022-11-04, main language Python  
+### [Fiona](https://github.com/toblerity/fiona) by [toblerity](https://github.com/toblerity)  
+Fiona reads and writes geographic data files  
+[https://fiona.readthedocs.io/](https://fiona.readthedocs.io/)  
+[https://github.com/toblerity/fiona](https://github.com/toblerity/fiona)  
+1.76 stars per week over 583 weeks  
+1,024 stars, 196 forks, 48 watches  
+[gis](categories/gis.md) category, created 2011-12-31, last commit 2023-02-26, main language Python  
+<sub><sup>cli, cython, gdal, gis, ogr, python, vector</sup></sub>
 
 
-### [birdseye](https://github.com/alexmojaki/birdseye) by [alexmojaki](https://github.com/alexmojaki)  
-birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions  
-[https://birdseye.readthedocs.io](https://birdseye.readthedocs.io)  
-[https://github.com/alexmojaki/birdseye](https://github.com/alexmojaki/birdseye)  
-5.42 stars per week over 280 weeks  
-1,522 stars, 76 forks, 43 watches  
-[debug](categories/debug.md) category, created 2017-07-22, last commit 2022-05-18, main language JavaScript  
-<sub><sup>ast, birdseye, debugger, debugging, python, python-debugger</sup></sub>
+### [industry-machine-learning](https://github.com/firmai/industry-machine-learning) by [firmai](https://github.com/firmai)  
+industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)  
+[https://www.linkedin.com/company/firmai](https://www.linkedin.com/company/firmai)  
+[https://github.com/firmai/industry-machine-learning](https://github.com/firmai/industry-machine-learning)  
+33 stars per week over 200 weeks  
+6,736 stars, 1,124 forks, 392 watches  
+[study](categories/study.md) category, created 2019-05-03, last commit 2021-12-18, main language Jupyter Notebook  
+<sub><sup>data-science, datascience, example, firmai, jupyter-notebook, machine-learning, practical-machine-learning, python</sup></sub>
 
 
-### [llvmlite](https://github.com/numba/llvmlite) by [numba](https://github.com/numba)  
-llvmlite: A lightweight LLVM python binding for writing JIT compilers  
-[http://llvmlite.pydata.org/](http://llvmlite.pydata.org/)  
-[https://github.com/numba/llvmlite](https://github.com/numba/llvmlite)  
-3.48 stars per week over 434 weeks  
-1,514 stars, 285 forks, 55 watches  
-[util](categories/util.md) category, created 2014-08-07, last commit 2022-12-05, main language Python  
+### [cattrs](https://github.com/python-attrs/cattrs) by [python-attrs](https://github.com/python-attrs)  
+cattrs: Complex custom class converters for attrs.  
+[https://github.com/python-attrs/cattrs](https://github.com/python-attrs/cattrs)  
+1.77 stars per week over 340 weeks  
+603 stars, 86 forks, 16 watches  
+[typing](categories/typing.md) category, created 2016-08-28, last commit 2023-03-02, main language Python  
+<sub><sup>attrs, deserialization, serialization</sup></sub>
 
 
-### [heartrate](https://github.com/alexmojaki/heartrate) by [alexmojaki](https://github.com/alexmojaki)  
-heartrate: Simple real time visualisation of the execution of a Python program.  
-[https://github.com/alexmojaki/heartrate](https://github.com/alexmojaki/heartrate)  
-7.93 stars per week over 189 weeks  
-1,498 stars, 120 forks, 30 watches  
-[debug](categories/debug.md) category, created 2019-04-24, last commit 2021-11-13, main language Python  
-<sub><sup>debugger, python, visualization</sup></sub>
+### [jsonpickle](https://github.com/jsonpickle/jsonpickle)  
+jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.  
+[https://jsonpickle.github.io](https://jsonpickle.github.io)  
+[https://github.com/jsonpickle/jsonpickle](https://github.com/jsonpickle/jsonpickle)  
+1.6 stars per week over 690 weeks  
+1,106 stars, 155 forks, 32 watches  
+[data](categories/data.md) category, created 2009-12-10, last commit 2023-02-22, main language Python  
+<sub><sup>bsd-3-clause, deserialization, json, objectstorage, pickle, python, serialization</sup></sub>
 
 
-### [quart](https://github.com/pallets/quart) by [pallets](https://github.com/pallets)  
-quart: An async Python micro framework for building web applications.   
-[https://quart.palletsprojects.com](https://quart.palletsprojects.com)  
-[https://github.com/pallets/quart](https://github.com/pallets/quart)  
-5.66 stars per week over 264 weeks  
-1,497 stars, 88 forks, 25 watches  
-[web](categories/web.md) category, created 2017-11-10, last commit 2022-11-14, main language Python  
-<sub><sup>asgi, asyncio, http-server, python, quart</sup></sub>
+### [nbviewer](https://github.com/jupyter/nbviewer) by [jupyter](https://github.com/jupyter)  
+nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages  
+[https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)  
+[https://github.com/jupyter/nbviewer](https://github.com/jupyter/nbviewer)  
+3.73 stars per week over 552 weeks  
+2,061 stars, 537 forks, 93 watches  
+[jupyter](categories/jupyter.md) category, created 2012-08-05, last commit 2023-01-27, main language Python  
+<sub><sup>jupyter, jupyter-notebook, nbconvert</sup></sub>
 
 
-### [nebullvm](https://github.com/nebuly-ai/nebullvm) by [nebuly-ai](https://github.com/nebuly-ai)  
-nebullvm: Accelerate AI models inference leveraging best-of-breed optimization techniques 🚀  
-[https://github.com/nebuly-ai/nebullvm](https://github.com/nebuly-ai/nebullvm)  
-35 stars per week over 42 weeks  
-1,495 stars, 68 forks, 17 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-02-12, last commit 2022-11-30, main language Python  
-<sub><sup>compiler, computing, deep-learning, huggingface, inference, machine-learning, onnx, openvino, pytorch, tensorflow, tensorrt, tvm</sup></sub>
+### [cryptofeed](https://github.com/bmoscon/cryptofeed) by [bmoscon](https://github.com/bmoscon)  
+cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler  
+[https://github.com/bmoscon/cryptofeed](https://github.com/bmoscon/cryptofeed)  
+6.17 stars per week over 272 weeks  
+1,680 stars, 544 forks, 75 watches  
+[crypto](categories/crypto.md) category, created 2017-12-16, last commit 2023-03-04, main language Python  
+<sub><sup>asyncio, binance, bitcoin, btc, coinbase, coinbase-api, crypto, cryptocurrencies, cryptocurrency, ethereum, exchange, ftx-exchange, influxdb, market-data, python, trading, trading-platform, websocket, websockets</sup></sub>
 
 
-### [pytest-mock](https://github.com/pytest-dev/pytest-mock) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-mock: Thin-wrapper around the mock package for easier use with pytest  
-[https://pytest-mock.readthedocs.io/en/latest/](https://pytest-mock.readthedocs.io/en/latest/)  
-[https://github.com/pytest-dev/pytest-mock](https://github.com/pytest-dev/pytest-mock)  
-3.4 stars per week over 437 weeks  
-1,488 stars, 118 forks, 33 watches  
-[testing](categories/testing.md) category, created 2014-07-17, last commit 2022-11-29, main language Python  
-<sub><sup>hacktoberfest, mock, pytest</sup></sub>
+### [pytest-cov](https://github.com/pytest-dev/pytest-cov) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-cov: Coverage plugin for pytest.  
+[https://github.com/pytest-dev/pytest-cov](https://github.com/pytest-dev/pytest-cov)  
+3.01 stars per week over 463 weeks  
+1,397 stars, 192 forks, 34 watches  
+[testing](categories/testing.md) category, created 2014-04-17, last commit 2023-02-28, main language Python  
+<sub><sup>pytest, python</sup></sub>
 
 
-### [FGVC](https://github.com/vt-vl-lab/fgvc) by [vt-vl-lab](https://github.com/vt-vl-lab)  
-FGVC: [ECCV 2020] Flow-edge Guided Video Completion   
-[https://github.com/vt-vl-lab/fgvc](https://github.com/vt-vl-lab/fgvc)  
-12 stars per week over 117 weeks  
-1,472 stars, 237 forks, 68 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-09-09, last commit 2021-12-14, main language Python  
+### [ultimate-upscale-for-automatic1111](https://github.com/coyote-a/ultimate-upscale-for-automatic1111) by [coyote-a](https://github.com/coyote-a)  
+coyote-a/ultimate-upscale-for-automatic1111  
+[https://github.com/coyote-a/ultimate-upscale-for-automatic1111](https://github.com/coyote-a/ultimate-upscale-for-automatic1111)  
+22 stars per week over 8 weeks  
+201 stars, 15 forks, 4 watches  
+[diffusion](categories/diffusion.md) category, created 2023-01-02, last commit 2023-02-07, main language Python  
 
 
-### [brax](https://github.com/google/brax) by [google](https://github.com/google)  
-brax: Massively parallel rigidbody physics simulation on accelerator hardware.  
-[https://github.com/google/brax](https://github.com/google/brax)  
-18 stars per week over 79 weeks  
-1,471 stars, 146 forks, 31 watches  
-[sim](categories/sim.md) category, created 2021-06-02, last commit 2022-10-13, main language Jupyter Notebook  
-<sub><sup>jax, physics-simulation, reinforcement-learning, robotics</sup></sub>
+### [Binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot) by [cyberpunkmetalhead](https://github.com/cyberpunkmetalhead)  
+Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.  
+[https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot)  
+34 stars per week over 95 weeks  
+3,243 stars, 760 forks, 148 watches  
+[crypto](categories/crypto.md) category, created 2021-05-08, last commit 2021-06-10, main language Python  
 
 
-### [starlite](https://github.com/starlite-api/starlite) by [starlite-api](https://github.com/starlite-api)  
-starlite: Light, Flexible and Extensible ASGI API framework  
-[https://starlite-api.github.io/starlite/](https://starlite-api.github.io/starlite/)  
-[https://github.com/starlite-api/starlite](https://github.com/starlite-api/starlite)  
-28 stars per week over 52 weeks  
-1,469 stars, 130 forks, 22 watches  
-[web](categories/web.md) category, created 2021-12-06, last commit 2022-12-06, main language Python  
-<sub><sup>api, asgi, json, mypy, openapi, pydantic, python, redoc, rest, starlette, types</sup></sub>
+### [squirrel-core](https://github.com/merantix-momentum/squirrel-core) by [merantix-momentum](https://github.com/merantix-momentum)  
+squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:  
+[https://squirrel-core.readthedocs.io/](https://squirrel-core.readthedocs.io/)  
+[https://github.com/merantix-momentum/squirrel-core](https://github.com/merantix-momentum/squirrel-core)  
+4.61 stars per week over 55 weeks  
+255 stars, 6 forks, 13 watches  
+[ml](categories/ml.md) category, created 2022-02-11, last commit 2023-03-02, main language Python  
+<sub><sup>ai, cloud-computing, collaboration, computer-vision, cv, data-ingestion, data-mesh, data-science, dataops, datasets, deep-learning, distributed, jax, machine-learning, ml, natural-language-processing, nlp, python, pytorch, tensorflow</sup></sub>
 
 
-### [argilla](https://github.com/recognai/rubrix) by [recognai](https://github.com/recognai)  
-argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.  
-[https://docs.argilla.io](https://docs.argilla.io)  
-[https://github.com/recognai/rubrix](https://github.com/recognai/rubrix)  
-17 stars per week over 84 weeks  
-1,454 stars, 133 forks, 18 watches  
-[nlp](categories/nlp.md) category, created 2021-04-28, last commit 2022-11-30, main language Python  
-<sub><sup>active-learning, annotation-tool, artificial-intelligence, data-science, dataops, developer-tools, hacktoberfest, human-in-the-loop, knowledge-graph, machine-learning, mlops, natural-language-processing, nlp, python, spacy, text-annotation, text-classification, text-labeling, weak-supervision, weakly-supervised-learning</sup></sub>
+### [python-ftfy](https://github.com/rspeer/python-ftfy) by [rspeer](https://github.com/rspeer)  
+python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.  
+[http://ftfy.readthedocs.org](http://ftfy.readthedocs.org)  
+[https://github.com/rspeer/python-ftfy](https://github.com/rspeer/python-ftfy)  
+6.28 stars per week over 549 weeks  
+3,451 stars, 116 forks, 75 watches  
+[util](categories/util.md) category, created 2012-08-24, last commit 2022-10-25, main language Python  
 
 
-### [sparseml](https://github.com/neuralmagic/sparseml) by [neuralmagic](https://github.com/neuralmagic)  
-sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models  
-[https://github.com/neuralmagic/sparseml](https://github.com/neuralmagic/sparseml)  
-13 stars per week over 103 weeks  
-1,443 stars, 103 forks, 36 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-12-11, last commit 2022-12-05, main language Python  
-<sub><sup>automl, computer-vision-algorithms, deep-learning-algorithms, deep-learning-library, deep-learning-models, image-classification, keras, model-sparsification, nlp, object-detection, onnx, pruning, pruning-algorithms, pytorch, recipe-driven-approaches, smaller-models, sparsification, sparsification-recipes, sparsity, tensorflow</sup></sub>
+### [spacy-models](https://github.com/explosion/spacy-models) by [explosion](https://github.com/explosion)  
+spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library  
+[https://spacy.io](https://spacy.io)  
+[https://github.com/explosion/spacy-models](https://github.com/explosion/spacy-models)  
+4.04 stars per week over 311 weeks  
+1,259 stars, 283 forks, 49 watches  
+[nlp](categories/nlp.md) category, created 2017-03-14, last commit 2023-01-23, main language Python  
+<sub><sup>machine-learning, machine-learning-models, models, natural-language-processing, nlp, spacy, spacy-models, statistical-models</sup></sub>
 
 
-### [distributed](https://github.com/dask/distributed) by [dask](https://github.com/dask)  
-distributed: A distributed task scheduler for Dask  
-[https://distributed.dask.org](https://distributed.dask.org)  
-[https://github.com/dask/distributed](https://github.com/dask/distributed)  
-3.78 stars per week over 377 weeks  
-1,427 stars, 664 forks, 59 watches  
-[perf](categories/perf.md) category, created 2015-09-13, last commit 2022-12-06, main language Python  
-<sub><sup>dask, distributed-computing, hacktoberfest, pydata, python</sup></sub>
+### [fastparquet](https://github.com/dask/fastparquet) by [dask](https://github.com/dask)  
+fastparquet: python implementation of the parquet columnar file format.  
+[https://github.com/dask/fastparquet](https://github.com/dask/fastparquet)  
+1.68 stars per week over 382 weeks  
+642 stars, 164 forks, 18 watches  
+[data](categories/data.md) category, created 2015-11-06, last commit 2023-02-09, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
 
 
-### [fastapi-react](https://github.com/buuntu/fastapi-react) by [buuntu](https://github.com/buuntu)  
-fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker  
-[https://github.com/buuntu/fastapi-react](https://github.com/buuntu/fastapi-react)  
-9.99 stars per week over 141 weeks  
-1,415 stars, 233 forks, 34 watches  
-[template](categories/template.md) category, created 2020-03-21, last commit 2022-02-18, main language Python  
-<sub><sup>boilerplate, cookiecutter, docker, fastapi, full-stack, jwt, nginx, oauth2, postgres, react, react-admin, sqlalchemy, typescript</sup></sub>
+### [fairo](https://github.com/facebookresearch/droidlet) by [facebookresearch](https://github.com/facebookresearch)  
+fairo: A modular embodied agent architecture and platform for building embodied agents  
+[https://github.com/facebookresearch/droidlet](https://github.com/facebookresearch/droidlet)  
+6.51 stars per week over 121 weeks  
+793 stars, 79 forks, 38 watches  
+[sim](categories/sim.md) category, created 2020-11-02, last commit 2023-02-01, main language Jupyter Notebook  
 
 
-### [nbconvert](https://github.com/jupyter/nbconvert) by [jupyter](https://github.com/jupyter)  
-nbconvert: Jupyter Notebook Conversion  
-[https://nbconvert.readthedocs.io/](https://nbconvert.readthedocs.io/)  
-[https://github.com/jupyter/nbconvert](https://github.com/jupyter/nbconvert)  
-3.54 stars per week over 399 weeks  
-1,415 stars, 509 forks, 50 watches  
-[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2022-12-06, main language Python  
+### [pyLDAvis](https://github.com/bmabey/pyldavis) by [bmabey](https://github.com/bmabey)  
+pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.  
+[https://github.com/bmabey/pyldavis](https://github.com/bmabey/pyldavis)  
+4.09 stars per week over 412 weeks  
+1,688 stars, 350 forks, 56 watches  
+[ml](categories/ml.md) category, created 2015-04-09, last commit 2023-02-15, main language Jupyter Notebook  
 
 
-### [safety](https://github.com/pyupio/safety) by [pyupio](https://github.com/pyupio)  
-Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.  
-[https://pyup.io/safety/](https://pyup.io/safety/)  
-[https://github.com/pyupio/safety](https://github.com/pyupio/safety)  
-4.42 stars per week over 320 weeks  
-1,413 stars, 122 forks, 31 watches  
-[security](categories/security.md) category, created 2016-10-19, last commit 2022-11-28, main language Python  
-<sub><sup>python, security, security-vulnerability, travis, vulnerability-detection, vulnerability-scanners</sup></sub>
+### [fastapi-cache](https://github.com/long2ice/fastapi-cache) by [long2ice](https://github.com/long2ice)  
+fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.  
+[https://github.com/long2ice/fastapi-cache](https://github.com/long2ice/fastapi-cache)  
+[https://github.com/long2ice/fastapi-cache](https://github.com/long2ice/fastapi-cache)  
+4.62 stars per week over 131 weeks  
+608 stars, 90 forks, 9 watches  
+[web](categories/web.md) category, created 2020-08-25, last commit 2023-02-15, main language Python  
+<sub><sup>cache, fastapi, memcached, redis</sup></sub>
 
 
-### [python-lambda](https://github.com/nficano/python-lambda) by [nficano](https://github.com/nficano)  
-python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda.   
-[https://github.com/nficano/python-lambda](https://github.com/nficano/python-lambda)  
-3.99 stars per week over 353 weeks  
-1,413 stars, 227 forks, 31 watches  
-[util](categories/util.md) category, created 2016-02-26, last commit 2022-06-03, main language Python  
-<sub><sup>aws, aws-lambda, microservices, python, serverless</sup></sub>
+### [eventlet](https://github.com/eventlet/eventlet)  
+eventlet: Concurrent networking library for Python  
+[https://eventlet.net](https://eventlet.net)  
+[https://github.com/eventlet/eventlet](https://github.com/eventlet/eventlet)  
+2.17 stars per week over 533 weeks  
+1,160 stars, 299 forks, 63 watches  
+[perf](categories/perf.md) category, created 2012-12-11, last commit 2023-03-01, main language Python  
+<sub><sup>c10k, concurrency, greenlet, network, production-ready, python</sup></sub>
 
 
-### [explainerdashboard](https://github.com/oegedijk/explainerdashboard) by [oegedijk](https://github.com/oegedijk)  
-explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.  
-[http://explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io)  
-[https://github.com/oegedijk/explainerdashboard](https://github.com/oegedijk/explainerdashboard)  
-8.62 stars per week over 162 weeks  
-1,396 stars, 182 forks, 15 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2019-10-30, last commit 2022-06-16, main language Python  
-<sub><sup>dash, dashboard, data-scientists, explainer, inner-workings, interactive-dashboards, interactive-plots, model-predictions, permutation-importances, plotly, shap, shap-values, xai, xai-library</sup></sub>
+### [ipdb](https://github.com/gotcha/ipdb) by [gotcha](https://github.com/gotcha)  
+ipdb: Integration of IPython pdb  
+[https://github.com/gotcha/ipdb](https://github.com/gotcha/ipdb)  
+2.63 stars per week over 633 weeks  
+1,667 stars, 146 forks, 27 watches  
+[debug](categories/debug.md) category, created 2011-01-15, last commit 2022-12-13, main language Python  
+<sub><sup>debugger, ipython, python</sup></sub>
 
 
-### [jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp) by [jupyter-lsp](https://github.com/jupyter-lsp)  
-jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol  
-[https://github.com/jupyter-lsp/jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp)  
-8.0 stars per week over 172 weeks  
-1,381 stars, 115 forks, 16 watches  
-[jupyter](categories/jupyter.md) category, created 2019-08-17, last commit 2022-09-28, main language TypeScript  
-<sub><sup>autocompletion, ipython, julia-language, jupyter, jupyter-lab, jupyter-notebook, jupyterlab, jupyterlab-extension, language-server-protocol, linter, lsp, notebook, notebook-jupyter, r</sup></sub>
+### [pycom](https://github.com/omyyyy/pycom) by [omyyyy](https://github.com/omyyyy)  
+pycom: A Python compiler, down to native code, using C++  
+[https://github.com/omyyyy/pycom](https://github.com/omyyyy/pycom)  
+33 stars per week over 33 weeks  
+1,100 stars, 21 forks, 17 watches  
+[perf](categories/perf.md) category, created 2022-07-16, last commit 2022-08-31, main language C++  
 
 
-### [orator](https://github.com/sdispater/orator) by [sdispater](https://github.com/sdispater)  
-orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.  
-[https://orator-orm.com](https://orator-orm.com)  
-[https://github.com/sdispater/orator](https://github.com/sdispater/orator)  
-3.48 stars per week over 393 weeks  
-1,371 stars, 166 forks, 46 watches  
-[data](categories/data.md) category, created 2015-05-24, last commit 2022-03-13, main language Python  
-<sub><sup>database, orm, python</sup></sub>
+### [transformers-interpret](https://github.com/cdpierse/transformers-interpret) by [cdpierse](https://github.com/cdpierse)  
+transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.   
+[https://github.com/cdpierse/transformers-interpret](https://github.com/cdpierse/transformers-interpret)  
+6.74 stars per week over 144 weeks  
+975 stars, 86 forks, 17 watches  
+[ml-interpretability](categories/ml-interpretability.md) category, created 2020-05-27, last commit 2023-01-14, main language Jupyter Notebook  
+<sub><sup>captum, computer-vision, deep-learning, explainable-ai, interpretability, machine-learning, model-explainability, natural-language-processing, neural-network, nlp, transformers, transformers-model</sup></sub>
 
 
-### [simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
-simple-salesforce: A very simple Salesforce.com REST API client for Python  
-[https://github.com/simple-salesforce/simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
-2.65 stars per week over 515 weeks  
-1,368 stars, 604 forks, 88 watches  
-[data](categories/data.md) category, created 2013-01-17, last commit 2022-10-26, main language Python  
-<sub><sup>api, api-client, python, salesforce</sup></sub>
+### [awslogs](https://github.com/jorgebastida/awslogs) by [jorgebastida](https://github.com/jorgebastida)  
+awslogs: AWS CloudWatch logs for Humans™  
+[https://github.com/jorgebastida/awslogs](https://github.com/jorgebastida/awslogs)  
+10 stars per week over 423 weeks  
+4,567 stars, 328 forks, 59 watches  
+[util](categories/util.md) category, created 2015-01-21, last commit 2020-07-10, main language Python  
 
 
-### [arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
-arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.  
-[https://www.arxiv-vanity.com](https://www.arxiv-vanity.com)  
-[https://github.com/arxiv-vanity/arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
-4.91 stars per week over 277 weeks  
-1,363 stars, 87 forks, 22 watches  
-[nlp](categories/nlp.md) category, created 2017-08-12, last commit 2022-01-18, main language Python  
-<sub><sup>academic-publishing, arxiv, latex, science</sup></sub>
+### [aitextgen](https://github.com/minimaxir/aitextgen) by [minimaxir](https://github.com/minimaxir)  
+aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.  
+[https://docs.aitextgen.io](https://docs.aitextgen.io)  
+[https://github.com/minimaxir/aitextgen](https://github.com/minimaxir/aitextgen)  
+10 stars per week over 166 weeks  
+1,697 stars, 194 forks, 37 watches  
+[nlp](categories/nlp.md) category, created 2019-12-29, last commit 2022-08-09, main language Python  
 
 
-### [leafmap](https://github.com/giswqs/leafmap) by [giswqs](https://github.com/giswqs)  
-leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment  
-[https://leafmap.org](https://leafmap.org)  
-[https://github.com/giswqs/leafmap](https://github.com/giswqs/leafmap)  
-14 stars per week over 91 weeks  
-1,361 stars, 162 forks, 40 watches  
-[gis](categories/gis.md) category, created 2021-03-10, last commit 2022-12-01, main language Python  
-<sub><sup>data-science, dataviz, folium, geopython, geospatial, geospatial-analysis, gis, ipyleaflet, jupyter, jupyter-notebook, keplergl, leafmap, mapping, plotly, pydeck, python, streamlit, streamlit-webapp, whiteboxtools</sup></sub>
+### [neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver) by [neo4j](https://github.com/neo4j)  
+neo4j-python-driver: Neo4j Bolt driver for Python  
+[https://neo4j.com/docs/api/python-driver/current/](https://neo4j.com/docs/api/python-driver/current/)  
+[https://github.com/neo4j/neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver)  
+1.9 stars per week over 408 weeks  
+775 stars, 170 forks, 98 watches  
+[data](categories/data.md) category, created 2015-05-05, last commit 2023-02-27, main language Python  
+<sub><sup>binary-protocol, cypher, database-driver, driver, graph-database, neo4j, protocol, python, python3, query-language</sup></sub>
 
 
-### [pytest-cov](https://github.com/pytest-dev/pytest-cov) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-cov: Coverage plugin for pytest.  
-[https://github.com/pytest-dev/pytest-cov](https://github.com/pytest-dev/pytest-cov)  
-3.0 stars per week over 450 weeks  
-1,353 stars, 188 forks, 33 watches  
-[testing](categories/testing.md) category, created 2014-04-17, last commit 2022-12-03, main language Python  
-<sub><sup>pytest, python</sup></sub>
+### [xarray-spatial](https://github.com/makepath/xarray-spatial) by [makepath](https://github.com/makepath)  
+xarray-spatial: Raster-based Spatial Analytics for Python  
+[https://xarray-spatial.org](https://xarray-spatial.org)  
+[https://github.com/makepath/xarray-spatial](https://github.com/makepath/xarray-spatial)  
+4.24 stars per week over 160 weeks  
+679 stars, 76 forks, 24 watches  
+[gis](categories/gis.md) category, created 2020-02-08, last commit 2023-03-02, main language Python  
+<sub><sup>datashader, numba, python, raster-analysis, spatial-analysis, xarray</sup></sub>
 
 
-### [omegaconf](https://github.com/omry/omegaconf) by [omry](https://github.com/omry)  
-omegaconf: Flexible Python configuration system. The last one you will ever need.  
-[https://github.com/omry/omegaconf](https://github.com/omry/omegaconf)  
-6.09 stars per week over 222 weeks  
-1,353 stars, 71 forks, 17 watches  
-[util](categories/util.md) category, created 2018-09-03, last commit 2022-12-06, main language Python  
-<sub><sup>configuration-files, configuration-loader, python, python-types, schema-validator, yaml, yaml-configuration</sup></sub>
+### [behave](https://github.com/behave/behave)  
+behave: BDD, Python style.  
+[https://github.com/behave/behave](https://github.com/behave/behave)  
+4.69 stars per week over 592 weeks  
+2,778 stars, 610 forks, 119 watches  
+[testing](categories/testing.md) category, created 2011-10-25, last commit 2022-12-19, main language Python  
 
 
-### [blankly](https://github.com/blankly-finance/blankly) by [blankly-finance](https://github.com/blankly-finance)  
-blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.  
-[https://package.blankly.finance](https://package.blankly.finance)  
-[https://github.com/blankly-finance/blankly](https://github.com/blankly-finance/blankly)  
-14 stars per week over 91 weeks  
-1,341 stars, 172 forks, 28 watches  
-[crypto](categories/crypto.md) category, created 2021-03-09, last commit 2022-11-24, main language Python  
-<sub><sup>algotrading, binance, blankly, bot, bot-framework, bots, coinbase, crypto, cryptocurrency, framework, investment, platform, python, stocks, trading, trading-bot, trading-strategies</sup></sub>
+### [siuba](https://github.com/machow/siuba) by [machow](https://github.com/machow)  
+siuba: Python library for using dplyr like syntax with pandas and SQL  
+[https://siuba.org](https://siuba.org)  
+[https://github.com/machow/siuba](https://github.com/machow/siuba)  
+4.72 stars per week over 212 weeks  
+1,001 stars, 43 forks, 21 watches  
+[pandas](categories/pandas.md) category, created 2019-02-09, last commit 2022-11-16, main language Python  
+<sub><sup>data-analysis, dplyr, pandas, python, sql</sup></sub>
 
 
-### [mesh](https://github.com/tensorflow/mesh) by [tensorflow](https://github.com/tensorflow)  
-Mesh TensorFlow: Model Parallelism Made Easier  
-[https://github.com/tensorflow/mesh](https://github.com/tensorflow/mesh)  
-6.09 stars per week over 219 weeks  
-1,340 stars, 233 forks, 43 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-09-20, last commit 2022-10-04, main language Python  
+### [gs-quant](https://github.com/goldmansachs/gs-quant) by [goldmansachs](https://github.com/goldmansachs)  
+gs-quant: Python toolkit for quantitative finance  
+[https://developer.gs.com/discover/products/gs-quant/](https://developer.gs.com/discover/products/gs-quant/)  
+[https://github.com/goldmansachs/gs-quant](https://github.com/goldmansachs/gs-quant)  
+7.62 stars per week over 220 weeks  
+1,678 stars, 340 forks, 75 watches  
+[finance](categories/finance.md) category, created 2018-12-14, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>derivatives, goldman-sachs, gs-quant, risk-management, trading-strategies</sup></sub>
 
 
-### [arcade](https://github.com/pythonarcade/arcade) by [pythonarcade](https://github.com/pythonarcade)  
-arcade: Easy to use Python library for creating 2D arcade games.  
-[http://arcade.academy](http://arcade.academy)  
-[https://github.com/pythonarcade/arcade](https://github.com/pythonarcade/arcade)  
-3.7 stars per week over 361 weeks  
-1,338 stars, 253 forks, 56 watches  
-[gamedev](categories/gamedev.md) category, created 2016-01-04, last commit 2022-12-04, main language Python  
-<sub><sup>arcade-api, arcade-framework, arcade-learning-environment, educational-resources, educational-technology, opengl, python, python3</sup></sub>
+### [python-soundfile](https://github.com/bastibe/python-soundfile) by [bastibe](https://github.com/bastibe)  
+python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy  
+[https://github.com/bastibe/python-soundfile](https://github.com/bastibe/python-soundfile)  
+1.05 stars per week over 496 weeks  
+523 stars, 87 forks, 17 watches  
+[util](categories/util.md) category, created 2013-08-27, last commit 2023-02-24, main language Python  
 
 
-### [basic-pitch](https://github.com/spotify/basic-pitch) by [spotify](https://github.com/spotify)  
-basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection  
-[https://basicpitch.io](https://basicpitch.io)  
-[https://github.com/spotify/basic-pitch](https://github.com/spotify/basic-pitch)  
-42 stars per week over 31 weeks  
-1,334 stars, 62 forks, 24 watches  
-[util](categories/util.md) category, created 2022-05-03, last commit 2022-08-30, main language Python  
-<sub><sup>audio, lightweight, machine-learning, midi, music, pitch-detection, polyphonic, python, transcription, typescript</sup></sub>
+### [natsort](https://github.com/sethmmorton/natsort) by [sethmmorton](https://github.com/sethmmorton)  
+natsort: Simple yet flexible natural sorting in Python.  
+[https://pypi.org/project/natsort/](https://pypi.org/project/natsort/)  
+[https://github.com/sethmmorton/natsort](https://github.com/sethmmorton/natsort)  
+1.3 stars per week over 565 weeks  
+734 stars, 42 forks, 14 watches  
+[util](categories/util.md) category, created 2012-05-03, last commit 2023-03-02, main language Python  
+<sub><sup>natsort, natural-sort, python, sorting, sorting-interface</sup></sub>
 
 
-### [language](https://github.com/google-research/language) by [google-research](https://github.com/google-research)  
-language: Shared repository for open-sourced projects from the Google AI Language team.  
-[https://ai.google/research/teams/language/](https://ai.google/research/teams/language/)  
-[https://github.com/google-research/language](https://github.com/google-research/language)  
-6.17 stars per week over 216 weeks  
-1,333 stars, 311 forks, 64 watches  
-[nlp](categories/nlp.md) category, created 2018-10-16, last commit 2022-10-17, main language Python  
-<sub><sup>machine-learning, natural-language-processing, research</sup></sub>
+### [pyyaml](https://github.com/yaml/pyyaml) by [yaml](https://github.com/yaml)  
+pyyaml: Canonical source repository for PyYAML  
+[https://github.com/yaml/pyyaml](https://github.com/yaml/pyyaml)  
+3.55 stars per week over 591 weeks  
+2,099 stars, 435 forks, 49 watches  
+[util](categories/util.md) category, created 2011-11-03, last commit 2022-09-13, main language Python  
+<sub><sup>python, yaml</sup></sub>
 
 
-### [tensorly](https://github.com/tensorly/tensorly)  
-TensorLy: Tensor Learning in Python.  
-[http://tensorly.org](http://tensorly.org)  
-[https://github.com/tensorly/tensorly](https://github.com/tensorly/tensorly)  
-4.17 stars per week over 319 weeks  
-1,332 stars, 261 forks, 45 watches  
-[ml](categories/ml.md) category, created 2016-10-21, last commit 2022-11-22, main language Python  
-<sub><sup>cupy, decomposition, jax, machine-learning, mxnet, numpy, python, pytorch, regression, tensor, tensor-algebra, tensor-decomposition, tensor-factorization, tensor-learning, tensor-methods, tensor-regression, tensorflow, tensorly</sup></sub>
+### [iris](https://github.com/scitools/iris) by [scitools](https://github.com/scitools)  
+iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data  
+[https://scitools-iris.readthedocs.io/en/latest/](https://scitools-iris.readthedocs.io/en/latest/)  
+[https://github.com/scitools/iris](https://github.com/scitools/iris)  
+0.97 stars per week over 551 weeks  
+538 stars, 264 forks, 45 watches  
+[gis](categories/gis.md) category, created 2012-08-06, last commit 2023-02-28, main language Python  
+<sub><sup>data-analysis, earth-science, grib, iris, meteorology, netcdf, oceanography, python, spaceweather, visualisation</sup></sub>
 
 
 ### [optimus](https://github.com/hi-primus/optimus) by [hi-primus](https://github.com/hi-primus)  
 optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark  
 [https://hi-optimus.com](https://hi-optimus.com)  
 [https://github.com/hi-primus/optimus](https://github.com/hi-primus/optimus)  
-4.68 stars per week over 281 weeks  
-1,320 stars, 223 forks, 40 watches  
+4.56 stars per week over 294 weeks  
+1,342 stars, 225 forks, 42 watches  
 [ml-ops](categories/ml-ops.md) category, created 2017-07-13, last commit 2022-10-17, main language Python  
 <sub><sup>big-data-cleaning, bigdata, cudf, dask, dask-cudf, data-analysis, data-cleaner, data-cleaning, data-cleansing, data-exploration, data-extraction, data-preparation, data-profiling, data-science, data-transformation, data-wrangling, machine-learning, pyspark, spark</sup></sub>
 
 
-### [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) by [jupyter-widgets](https://github.com/jupyter-widgets)  
-ipyleaflet: A Jupyter - Leaflet.js bridge  
-[https://ipyleaflet.readthedocs.io](https://ipyleaflet.readthedocs.io)  
-[https://github.com/jupyter-widgets/ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet)  
-2.93 stars per week over 448 weeks  
-1,314 stars, 348 forks, 61 watches  
-[gis](categories/gis.md) category, created 2014-05-07, last commit 2022-10-27, main language JavaScript  
-<sub><sup>jupyter, jupyterlab-extension, leaflet, visualization</sup></sub>
+### [itsdangerous](https://github.com/pallets/itsdangerous) by [pallets](https://github.com/pallets)  
+itsdangerous: Safely pass trusted data to untrusted environments and back.  
+[https://itsdangerous.palletsprojects.com](https://itsdangerous.palletsprojects.com)  
+[https://github.com/pallets/itsdangerous](https://github.com/pallets/itsdangerous)  
+4.32 stars per week over 610 weeks  
+2,637 stars, 214 forks, 57 watches  
+[data](categories/data.md) category, created 2011-06-24, last commit 2023-03-01, main language Python  
+<sub><sup>hmac, itsdangerous, pallets, python, security, serialization</sup></sub>
 
 
-### [machine-learning-book](https://github.com/rasbt/machine-learning-book) by [rasbt](https://github.com/rasbt)  
-machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn  
-[https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn](https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn)  
-[https://github.com/rasbt/machine-learning-book](https://github.com/rasbt/machine-learning-book)  
-25 stars per week over 50 weeks  
-1,310 stars, 482 forks, 26 watches  
-[study](categories/study.md) category, created 2021-12-19, last commit 2022-11-30, main language Jupyter Notebook  
-<sub><sup>deep-learning, machine-learning, neural-networks, pytorch, scikit-learn</sup></sub>
+### [dask-geopandas](https://github.com/geopandas/dask-geopandas) by [geopandas](https://github.com/geopandas)  
+dask-geopandas: Parallel GeoPandas with Dask  
+[https://dask-geopandas.readthedocs.io/](https://dask-geopandas.readthedocs.io/)  
+[https://github.com/geopandas/dask-geopandas](https://github.com/geopandas/dask-geopandas)  
+2.26 stars per week over 159 weeks  
+361 stars, 37 forks, 22 watches  
+[gis](categories/gis.md) category, created 2020-02-13, last commit 2023-02-27, main language Python  
 
 
-### [pyglet](https://github.com/pyglet/pyglet)  
-pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.  
-[http://pyglet.org](http://pyglet.org)  
-[https://github.com/pyglet/pyglet](https://github.com/pyglet/pyglet)  
-7.15 stars per week over 182 weeks  
-1,304 stars, 247 forks, 29 watches  
-[gamedev](categories/gamedev.md) category, created 2019-06-09, last commit 2022-12-04, main language Python  
-<sub><sup>gamedev, opengl, pyglet, python, scientific-visualization</sup></sub>
+### [pytest-bdd](https://github.com/pytest-dev/pytest-bdd) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-bdd: BDD library for the py.test runner  
+[https://pytest-bdd.readthedocs.io/en/latest/](https://pytest-bdd.readthedocs.io/en/latest/)  
+[https://github.com/pytest-dev/pytest-bdd](https://github.com/pytest-dev/pytest-bdd)  
+2.18 stars per week over 518 weeks  
+1,130 stars, 189 forks, 53 watches  
+[testing](categories/testing.md) category, created 2013-03-29, last commit 2023-02-27, main language Python  
 
 
-### [pmdarima](https://github.com/alkaline-ml/pmdarima) by [alkaline-ml](https://github.com/alkaline-ml)  
-pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.  
-[https://www.alkaline-ml.com/pmdarima](https://www.alkaline-ml.com/pmdarima)  
-[https://github.com/alkaline-ml/pmdarima](https://github.com/alkaline-ml/pmdarima)  
-4.32 stars per week over 296 weeks  
-1,282 stars, 222 forks, 36 watches  
-[time-series](categories/time-series.md) category, created 2017-03-30, last commit 2022-11-03, main language Python  
-<sub><sup>arima, econometrics, forecasting, forecasting-models, machine-learning, pmdarima, python, sarimax, time-series</sup></sub>
+### [Top2Vec](https://github.com/ddangelov/top2vec) by [ddangelov](https://github.com/ddangelov)  
+Top2Vec learns jointly embedded topic, document and word vectors.  
+[https://github.com/ddangelov/top2vec](https://github.com/ddangelov/top2vec)  
+15 stars per week over 154 weeks  
+2,443 stars, 337 forks, 38 watches  
+[nlp](categories/nlp.md) category, created 2020-03-20, last commit 2023-01-26, main language Python  
+<sub><sup>bert, document-embedding, pre-trained-language-models, semantic-search, sentence-encoder, sentence-transformers, text-search, text-semantic-similarity, top2vec, topic-modeling, topic-modelling, topic-search, topic-vector, word-embeddings</sup></sub>
 
 
-### [stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow) by [divamgupta](https://github.com/divamgupta)  
-stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras  
-[https://github.com/divamgupta/stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow)  
-107 stars per week over 11 weeks  
-1,276 stars, 167 forks, 19 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-15, last commit 2022-11-22, main language Python  
+### [deeplab2](https://github.com/google-research/deeplab2) by [google-research](https://github.com/google-research)  
+DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.  
+[https://github.com/google-research/deeplab2](https://github.com/google-research/deeplab2)  
+9.24 stars per week over 94 weeks  
+874 stars, 146 forks, 22 watches  
+[ml](categories/ml.md) category, created 2021-05-12, last commit 2023-01-17, main language Python  
 
 
-### [incubator-sedona](https://github.com/apache/incubator-sedona) by [apache](https://github.com/apache)  
-incubator-sedona: A cluster computing framework for processing large-scale geospatial data  
-[http://sedona.apache.org/](http://sedona.apache.org/)  
-[https://github.com/apache/incubator-sedona](https://github.com/apache/incubator-sedona)  
-3.19 stars per week over 397 weeks  
-1,269 stars, 532 forks, 101 watches  
-[gis](categories/gis.md) category, created 2015-04-24, last commit 2022-12-03, main language Java  
-<sub><sup>cluster-computing, geospatial, java, python, scala, spatial-analysis, spatial-query, spatial-sql</sup></sub>
+### [pastas](https://github.com/pastas/pastas)  
+pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.  
+[https://pastas.readthedocs.io](https://pastas.readthedocs.io)  
+[https://github.com/pastas/pastas](https://github.com/pastas/pastas)  
+0.82 stars per week over 359 weeks  
+295 stars, 55 forks, 18 watches  
+[time-series](categories/time-series.md) category, created 2016-04-15, last commit 2023-02-07, main language Python  
+<sub><sup>analysis, groundwater, hydrology, pastas, python, timeseries</sup></sub>
 
 
-### [JoJoGAN](https://github.com/mchong6/jojogan) by [mchong6](https://github.com/mchong6)  
-Official PyTorch repo for JoJoGAN: One Shot Face Stylization  
-[https://github.com/mchong6/jojogan](https://github.com/mchong6/jojogan)  
-24 stars per week over 50 weeks  
-1,264 stars, 185 forks, 24 watches  
-[data](categories/data.md) category, created 2021-12-17, last commit 2022-02-05, main language Jupyter Notebook  
-<sub><sup>anime, gans, image-translation</sup></sub>
+### [similarity](https://github.com/tensorflow/similarity) by [tensorflow](https://github.com/tensorflow)  
+similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.  
+[https://github.com/tensorflow/similarity](https://github.com/tensorflow/similarity)  
+6.53 stars per week over 141 weeks  
+926 stars, 91 forks, 31 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-06-15, last commit 2023-01-16, main language Python  
+<sub><sup>barlow-twins, clustering, contrastive-learning, cosine-similarity, deep-learning, knn, machine-learning, metric-learning, nearest-neighbor-search, nearest-neighbors, python, simclr, simclr2, similarity-learning, similarity-search, simsiam, tensorflow, unsupervised-learning</sup></sub>
 
 
-### [sqlacodegen](https://github.com/agronholm/sqlacodegen) by [agronholm](https://github.com/agronholm)  
-sqlacodegen: Automatic model code generator for SQLAlchemy  
-[https://github.com/agronholm/sqlacodegen](https://github.com/agronholm/sqlacodegen)  
-3.98 stars per week over 310 weeks  
-1,235 stars, 195 forks, 20 watches  
-[data](categories/data.md) category, created 2016-12-28, last commit 2022-11-23, main language Python  
+### [fastapi-code-generator](https://github.com/koxudaxi/fastapi-code-generator) by [koxudaxi](https://github.com/koxudaxi)  
+fastapi-code-generator: This code generator creates FastAPI app from an openapi file.  
+[https://github.com/koxudaxi/fastapi-code-generator](https://github.com/koxudaxi/fastapi-code-generator)  
+4.71 stars per week over 142 weeks  
+669 stars, 75 forks, 15 watches  
+[web](categories/web.md) category, created 2020-06-14, last commit 2023-02-15, main language Python  
+<sub><sup>fastapi, generator, openapi, pydantic, python</sup></sub>
 
 
-### [torchrec](https://github.com/pytorch/torchrec) by [pytorch](https://github.com/pytorch)  
-torchrec: Pytorch domain library for recommendation systems  
-[https://github.com/pytorch/torchrec](https://github.com/pytorch/torchrec)  
-16 stars per week over 73 weeks  
-1,231 stars, 200 forks, 24 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-07-12, last commit 2022-12-06, main language Python  
-<sub><sup>cuda, deep-learning, gpu, pytorch, recommendation-system, recommender-system, sharding</sup></sub>
+### [latentblending](https://github.com/lunarring/latentblending) by [lunarring](https://github.com/lunarring)  
+latentblending: Create butter-smooth transitions between prompts, powered by stable diffusion  
+[https://github.com/lunarring/latentblending](https://github.com/lunarring/latentblending)  
+13 stars per week over 15 weeks  
+206 stars, 18 forks, 12 watches  
+[diffusion](categories/diffusion.md) category, created 2022-11-19, last commit 2023-03-02, main language Python  
+<sub><sup>animation, diffusion, stable-diffusion</sup></sub>
 
 
-### [flow-forecast](https://github.com/aistream-peelout/flow-forecast) by [aistream-peelout](https://github.com/aistream-peelout)  
-flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).  
-[https://flow-forecast.atlassian.net/wiki/spaces/FF/overview](https://flow-forecast.atlassian.net/wiki/spaces/FF/overview)  
-[https://github.com/aistream-peelout/flow-forecast](https://github.com/aistream-peelout/flow-forecast)  
-7.05 stars per week over 172 weeks  
-1,218 stars, 207 forks, 19 watches  
-[time-series](categories/time-series.md) category, created 2019-08-15, last commit 2022-12-06, main language Python  
-<sub><sup>anomaly-detection, deep-learning, deep-neural-networks, forecasting, hacktoberfest, lstm, pytorch, state-of-the-art-models, time-series, time-series-analysis, time-series-forecasting, time-series-regression, transfer-learning, transformer</sup></sub>
+### [opyrator](https://github.com/ml-tooling/opyrator) by [ml-tooling](https://github.com/ml-tooling)  
+opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.  
+[https://opyrator-playground.mltooling.org](https://opyrator-playground.mltooling.org)  
+[https://github.com/ml-tooling/opyrator](https://github.com/ml-tooling/opyrator)  
+28 stars per week over 99 weeks  
+2,802 stars, 137 forks, 49 watches  
+[viz](categories/viz.md) category, created 2021-04-06, last commit 2021-05-06, main language Python  
+<sub><sup>deployment, faas, fastapi, functions, machine-learning, microservices, pydantic, python, python-functions, serverless, streamlit, type-hints</sup></sub>
 
 
 ### [tika-python](https://github.com/chrismattmann/tika-python) by [chrismattmann](https://github.com/chrismattmann)  
 Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.  
 [https://github.com/chrismattmann/tika-python](https://github.com/chrismattmann/tika-python)  
-2.75 stars per week over 440 weeks  
-1,213 stars, 222 forks, 37 watches  
-[nlp](categories/nlp.md) category, created 2014-06-26, last commit 2021-06-07, main language Python  
+2.75 stars per week over 453 weeks  
+1,245 stars, 226 forks, 38 watches  
+[nlp](categories/nlp.md) category, created 2014-06-26, last commit 2023-01-22, main language Python  
 <sub><sup>buffer, covid-19, detection, extraction, memex, mime, nlp, nlp-library, nlp-machine-learning, parse, parser-interface, python, recognition, text-extraction, text-recognition, tika-python, tika-server, tika-server-jar, translation-interface, usc</sup></sub>
 
 
-### [spacy-models](https://github.com/explosion/spacy-models) by [explosion](https://github.com/explosion)  
-spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library  
-[https://spacy.io](https://spacy.io)  
-[https://github.com/explosion/spacy-models](https://github.com/explosion/spacy-models)  
-4.05 stars per week over 299 weeks  
-1,211 stars, 271 forks, 47 watches  
-[nlp](categories/nlp.md) category, created 2017-03-14, last commit 2022-11-30, main language Python  
-<sub><sup>machine-learning, machine-learning-models, models, natural-language-processing, nlp, spacy, spacy-models, statistical-models</sup></sub>
+### [python-dialogflow](https://github.com/dialogflow/dialogflow-python-client-v2) by [dialogflow](https://github.com/dialogflow)  
+python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.  
+[https://dialogflow.com/](https://dialogflow.com/)  
+[https://github.com/dialogflow/dialogflow-python-client-v2](https://github.com/dialogflow/dialogflow-python-client-v2)  
+1.38 stars per week over 279 weeks  
+387 stars, 145 forks, 53 watches  
+[nlp](categories/nlp.md) category, created 2017-10-24, last commit 2023-03-04, main language Python  
+<sub><sup>dialogflow, machine-learning, python</sup></sub>
 
 
-### [alpa](https://github.com/alpa-projects/alpa) by [alpa-projects](https://github.com/alpa-projects)  
-alpa: Training and serving large-scale neural networks  
-[https://alpa.ai](https://alpa.ai)  
-[https://github.com/alpa-projects/alpa](https://github.com/alpa-projects/alpa)  
-12 stars per week over 93 weeks  
-1,203 stars, 130 forks, 20 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-02-22, last commit 2022-12-07, main language Python  
-<sub><sup>alpa, auto-parallelization, compiler, deep-learning, distributed-computing, distributed-training, high-performance-computing, jax, llm, machine-learning</sup></sub>
+### [book](https://github.com/cosmicpython/book) by [cosmicpython](https://github.com/cosmicpython)  
+book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.  
+[https://www.cosmicpython.com](https://www.cosmicpython.com)  
+[https://github.com/cosmicpython/book](https://github.com/cosmicpython/book)  
+13 stars per week over 212 weeks  
+2,873 stars, 490 forks, 94 watches  
+[study](categories/study.md) category, created 2019-02-05, last commit 2023-02-06, main language Python  
 
 
-### [deepsparse](https://github.com/neuralmagic/deepsparse) by [neuralmagic](https://github.com/neuralmagic)  
-deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application  
-[https://github.com/neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse)  
-11 stars per week over 103 weeks  
-1,183 stars, 71 forks, 36 watches  
-[nlp](categories/nlp.md) category, created 2020-12-14, last commit 2022-12-01, main language Python  
-<sub><sup>auto-ml, computer-vision, cpu-inference-api, cpus, deepsparse-engine, inference, machinelearning, ml, nlp, object-detection, onnx, pretrained-models, pruning, pytorch, quantization, sparsification, sparsification-recipe, sparsified-models, tensorflow, yolov3</sup></sub>
+### [DrQA](https://github.com/facebookresearch/drqa) by [facebookresearch](https://github.com/facebookresearch)  
+DrQA: Reading Wikipedia to Answer Open-Domain Questions  
+[https://github.com/facebookresearch/drqa](https://github.com/facebookresearch/drqa)  
+14 stars per week over 295 weeks  
+4,349 stars, 903 forks, 165 watches  
+[nlp](categories/nlp.md) category, created 2017-07-07, last commit 2021-05-18, main language Python  
 
 
-### [spacy-transformers](https://github.com/explosion/spacy-transformers) by [explosion](https://github.com/explosion)  
-spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy  
-[https://spacy.io/usage/embeddings-transformers](https://spacy.io/usage/embeddings-transformers)  
-[https://github.com/explosion/spacy-transformers](https://github.com/explosion/spacy-transformers)  
-6.7 stars per week over 175 weeks  
-1,177 stars, 152 forks, 30 watches  
-[nlp](categories/nlp.md) category, created 2019-07-26, last commit 2022-11-17, main language Python  
-<sub><sup>bert, google, gpt-2, huggingface, language-model, machine-learning, natural-language-processing, natural-language-understanding, nlp, openai, pytorch, pytorch-model, spacy, spacy-extension, spacy-pipeline, transfer-learning, xlnet</sup></sub>
+### [specialist](https://github.com/brandtbucher/specialist) by [brandtbucher](https://github.com/brandtbucher)  
+specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:  
+[https://github.com/brandtbucher/specialist](https://github.com/brandtbucher/specialist)  
+13 stars per week over 39 weeks  
+516 stars, 9 forks, 10 watches  
+[perf](categories/perf.md) category, created 2022-06-01, last commit 2023-03-01, main language Python  
 
 
-### [ormar](https://github.com/collerek/ormar) by [collerek](https://github.com/collerek)  
-ormar: python async orm with fastapi in mind and pydantic validation  
-[https://collerek.github.io/ormar/](https://collerek.github.io/ormar/)  
-[https://github.com/collerek/ormar](https://github.com/collerek/ormar)  
-9.58 stars per week over 122 weeks  
-1,173 stars, 60 forks, 15 watches  
-[data](categories/data.md) category, created 2020-08-02, last commit 2022-11-23, main language Python  
-<sub><sup>alembic, async-orm, databases, fastapi, orm, pydantic, python-orm, sqlalchemy</sup></sub>
+### [FastAPI-Backend-Template](https://github.com/aeternalis-ingenium/fastapi-backend-template) by [aeternalis-ingenium](https://github.com/aeternalis-ingenium)  
+FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.  
+[https://github.com/aeternalis-ingenium/fastapi-backend-template](https://github.com/aeternalis-ingenium/fastapi-backend-template)  
+22 stars per week over 12 weeks  
+289 stars, 49 forks, 10 watches  
+[web](categories/web.md) category, created 2022-12-05, last commit 2023-02-05, main language Python  
+<sub><sup>alembic, asynchronous, asyncpg, codecov, coverage, docker, docker-compose, fastapi, githubactions, jwt, postgresql, pre-commit, pytest, python, sqlalchemy</sup></sub>
 
 
-### [SDV](https://github.com/sdv-dev/sdv) by [sdv-dev](https://github.com/sdv-dev)  
-SDV: Synthetic Data Generation for tabular, relational and time series data.  
-[https://sdv.dev/SDV](https://sdv.dev/SDV)  
-[https://github.com/sdv-dev/sdv](https://github.com/sdv-dev/sdv)  
-4.9 stars per week over 238 weeks  
-1,169 stars, 188 forks, 39 watches  
-[data](categories/data.md) category, created 2018-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>data-generation, deep-learning, gan, gans, generative-adversarial-network, generative-ai, generative-model, machine-learning, multi-table, relational-datasets, sdv, synthetic-data, synthetic-data-generation, time-series</sup></sub>
+### [CoastSat](https://github.com/kvos/coastsat) by [kvos](https://github.com/kvos)  
+CoastSat: Global shoreline mapping tool from satellite imagery  
+[http://coastsat.wrl.unsw.edu.au/](http://coastsat.wrl.unsw.edu.au/)  
+[https://github.com/kvos/coastsat](https://github.com/kvos/coastsat)  
+2.18 stars per week over 231 weeks  
+505 stars, 206 forks, 23 watches  
+[gis](categories/gis.md) category, created 2018-09-28, last commit 2023-02-23, main language Jupyter Notebook  
+<sub><sup>coastal-engineering, earth-engine, google-earth-engine, remote-sensing, satellite-images, shoreline-detection</sup></sub>
 
 
-### [osmnx-examples](https://github.com/gboeing/osmnx-examples) by [gboeing](https://github.com/gboeing)  
-osmnx-examples: Usage examples, demos, and tutorials for OSMnx.  
-[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
-[https://github.com/gboeing/osmnx-examples](https://github.com/gboeing/osmnx-examples)  
-4.15 stars per week over 280 weeks  
-1,165 stars, 433 forks, 54 watches  
-[gis](categories/gis.md) category, created 2017-07-22, last commit 2022-08-05, main language Jupyter Notebook  
-<sub><sup>accessibility, binder, cities, city, jupyter-notebook, network-analysis, notebooks, openstreetmap, public-transport, python, street-networks, transit, transport, transportation, urban-analytics, urban-data-science, urban-design, urban-planning</sup></sub>
+### [mujoco-py](https://github.com/openai/mujoco-py) by [openai](https://github.com/openai)  
+mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.  
+[https://github.com/openai/mujoco-py](https://github.com/openai/mujoco-py)  
+6.69 stars per week over 358 weeks  
+2,395 stars, 741 forks, 167 watches  
+[sim](categories/sim.md) category, created 2016-04-24, last commit 2022-11-17, main language Cython  
 
 
-### [torchgeo](https://github.com/microsoft/torchgeo) by [microsoft](https://github.com/microsoft)  
-TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data  
-[https://torchgeo.rtfd.io](https://torchgeo.rtfd.io)  
-[https://github.com/microsoft/torchgeo](https://github.com/microsoft/torchgeo)  
-14 stars per week over 80 weeks  
-1,162 stars, 137 forks, 32 watches  
-[gis](categories/gis.md) category, created 2021-05-21, last commit 2022-12-05, main language Python  
-<sub><sup>datasets, deep-learning, earth-observation, models, pytorch, remote-sensing, torchvision, transforms</sup></sub>
+### [zenodo](https://github.com/zenodo/zenodo)  
+zenodo: Research. Shared.  
+[https://zenodo.org](https://zenodo.org)  
+[https://github.com/zenodo/zenodo](https://github.com/zenodo/zenodo)  
+1.46 stars per week over 524 weeks  
+765 stars, 228 forks, 40 watches  
+[util](categories/util.md) category, created 2013-02-11, last commit 2023-03-02, main language Python  
+<sub><sup>digital-library, elasticsearch, flask, invenio, inveniosoftware, library-management, open-access, open-science, postgresql, python, research-data-management, research-data-repository, scientific-publications, zenodo</sup></sub>
 
 
-### [PyTables](https://github.com/pytables/pytables) by [pytables](https://github.com/pytables)  
-PyTables: A Python package to manage extremely large amounts of data  
-[http://www.pytables.org](http://www.pytables.org)  
-[https://github.com/pytables/pytables](https://github.com/pytables/pytables)  
-1.93 stars per week over 600 weeks  
-1,161 stars, 235 forks, 59 watches  
-[data](categories/data.md) category, created 2011-06-03, last commit 2022-11-17, main language Python  
+### [hvplot](https://github.com/holoviz/hvplot) by [holoviz](https://github.com/holoviz)  
+hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews  
+[https://hvplot.holoviz.org](https://hvplot.holoviz.org)  
+[https://github.com/holoviz/hvplot](https://github.com/holoviz/hvplot)  
+2.79 stars per week over 258 weeks  
+721 stars, 83 forks, 23 watches  
+[pandas](categories/pandas.md) category, created 2018-03-19, last commit 2023-02-10, main language Python  
+<sub><sup>datashader, holoviews, holoviz, plotting</sup></sub>
 
 
-### [imageio](https://github.com/imageio/imageio)  
-imageio: Python library for reading and writing image data  
-[https://imageio.readthedocs.io](https://imageio.readthedocs.io)  
-[https://github.com/imageio/imageio](https://github.com/imageio/imageio)  
-2.31 stars per week over 500 weeks  
-1,155 stars, 232 forks, 31 watches  
-[util](categories/util.md) category, created 2013-05-04, last commit 2022-11-29, main language Python  
-<sub><sup>animated-gif, dicom, imageio, python, scientific-formats, video, webcam-capture</sup></sub>
+### [dask-ml](https://github.com/dask/dask-ml) by [dask](https://github.com/dask)  
+dask-ml: Scalable Machine Learning with Dask  
+[http://ml.dask.org](http://ml.dask.org)  
+[https://github.com/dask/dask-ml](https://github.com/dask/dask-ml)  
+2.8 stars per week over 298 weeks  
+836 stars, 237 forks, 41 watches  
+[ml](categories/ml.md) category, created 2017-06-15, last commit 2023-02-10, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
 
 
-### [pytorch_image_classification](https://github.com/hysts/pytorch_image_classification) by [hysts](https://github.com/hysts)  
-pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet  
-[https://github.com/hysts/pytorch_image_classification](https://github.com/hysts/pytorch_image_classification)  
-4.43 stars per week over 260 weeks  
-1,154 stars, 291 forks, 27 watches  
-[ml-dl](categories/ml-dl.md) category, created 2017-12-09, last commit 2021-12-12, main language Python  
-<sub><sup>cifar10, computer-vision, fashion-mnist, imagenet, pytorch</sup></sub>
+### [python-diskcache](https://github.com/grantjenks/python-diskcache) by [grantjenks](https://github.com/grantjenks)  
+python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.  
+[http://www.grantjenks.com/docs/diskcache/](http://www.grantjenks.com/docs/diskcache/)  
+[https://github.com/grantjenks/python-diskcache](https://github.com/grantjenks/python-diskcache)  
+4.63 stars per week over 369 weeks  
+1,710 stars, 107 forks, 19 watches  
+[util](categories/util.md) category, created 2016-02-03, last commit 2022-02-20, main language Python  
+<sub><sup>cache, filesystem, key-value-store, persistence, python</sup></sub>
 
 
-### [featureform](https://github.com/featureform/embeddinghub)  
-featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.  
-[https://www.featureform.com](https://www.featureform.com)  
-[https://github.com/featureform/embeddinghub](https://github.com/featureform/embeddinghub)  
-10 stars per week over 111 weeks  
-1,150 stars, 42 forks, 12 watches  
-[nlp](categories/nlp.md) category, created 2020-10-16, last commit 2022-12-07, main language Go  
-<sub><sup>data-quality, data-science, embeddings, embeddings-similarity, feature-engineering, feature-store, hacktoberfest, machine-learning, ml, mlops, python, vector-database</sup></sub>
+### [shiv](https://github.com/linkedin/shiv) by [linkedin](https://github.com/linkedin)  
+shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.  
+[https://github.com/linkedin/shiv](https://github.com/linkedin/shiv)  
+5.99 stars per week over 259 weeks  
+1,556 stars, 85 forks, 26 watches  
+[util](categories/util.md) category, created 2018-03-13, last commit 2022-11-04, main language Python  
 
 
-### [torchtyping](https://github.com/patrick-kidger/torchtyping) by [patrick-kidger](https://github.com/patrick-kidger)  
-torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.  
-[https://github.com/patrick-kidger/torchtyping](https://github.com/patrick-kidger/torchtyping)  
-12 stars per week over 88 weeks  
-1,149 stars, 27 forks, 13 watches  
-[typing](categories/typing.md) category, created 2021-03-28, last commit 2022-07-11, main language Python  
-<sub><sup>named-tensors, python-typing, pytorch, shape, tensors, typing</sup></sub>
+### [pysal](https://github.com/pysal/pysal)  
+PySAL: Python Spatial Analysis Library Meta-Package  
+[http://pysal.org/pysal](http://pysal.org/pysal)  
+[https://github.com/pysal/pysal](https://github.com/pysal/pysal)  
+2.13 stars per week over 523 weeks  
+1,117 stars, 292 forks, 81 watches  
+[gis](categories/gis.md) category, created 2013-02-19, last commit 2023-01-28, main language Jupyter Notebook  
 
 
-### [nbgrader](https://github.com/jupyter/nbgrader) by [jupyter](https://github.com/jupyter)  
-nbgrader: A system for assigning and grading notebooks  
-[https://nbgrader.readthedocs.io/](https://nbgrader.readthedocs.io/)  
-[https://github.com/jupyter/nbgrader](https://github.com/jupyter/nbgrader)  
-2.67 stars per week over 429 weeks  
-1,148 stars, 314 forks, 43 watches  
-[jupyter](categories/jupyter.md) category, created 2014-09-13, last commit 2022-11-30, main language Python  
-<sub><sup>grading, jupyter, jupyter-notebook, jupyterhub, nbgrader, teaching</sup></sub>
+### [snoop](https://github.com/alexmojaki/snoop) by [alexmojaki](https://github.com/alexmojaki)  
+snoop: A powerful set of Python debugging tools, based on PySnooper  
+[https://github.com/alexmojaki/snoop](https://github.com/alexmojaki/snoop)  
+4.53 stars per week over 198 weeks  
+901 stars, 31 forks, 17 watches  
+[debug](categories/debug.md) category, created 2019-05-13, last commit 2022-12-22, main language Python  
+<sub><sup>debugger, debugging, debugging-tools, logging, python</sup></sub>
 
 
-### [eventlet](https://github.com/eventlet/eventlet)  
-eventlet: Concurrent networking library for Python  
-[https://eventlet.net](https://eventlet.net)  
-[https://github.com/eventlet/eventlet](https://github.com/eventlet/eventlet)  
-2.18 stars per week over 521 weeks  
-1,138 stars, 295 forks, 62 watches  
-[perf](categories/perf.md) category, created 2012-12-11, last commit 2022-11-17, main language Python  
-<sub><sup>c10k, concurrency, greenlet, network, production-ready, python</sup></sub>
+### [glide-text2im](https://github.com/openai/glide-text2im) by [openai](https://github.com/openai)  
+glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model  
+[https://github.com/openai/glide-text2im](https://github.com/openai/glide-text2im)  
+47 stars per week over 64 weeks  
+3,041 stars, 434 forks, 124 watches  
+[diffusion](categories/diffusion.md) category, created 2021-12-10, last commit 2022-03-21, main language Python  
 
 
-### [pygments](https://github.com/pygments/pygments)  
-Pygments is a generic syntax highlighter written in Python  
-[http://pygments.org/](http://pygments.org/)  
-[https://github.com/pygments/pygments](https://github.com/pygments/pygments)  
-6.67 stars per week over 170 weeks  
-1,137 stars, 484 forks, 26 watches  
-[util](categories/util.md) category, created 2019-08-31, last commit 2022-12-05, main language Python  
-<sub><sup>python, syntax-highlighting</sup></sub>
+### [data-validation](https://github.com/tensorflow/data-validation) by [tensorflow](https://github.com/tensorflow)  
+data-validation: Library for exploring and validating machine learning data  
+[https://github.com/tensorflow/data-validation](https://github.com/tensorflow/data-validation)  
+2.87 stars per week over 243 weeks  
+699 stars, 150 forks, 49 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-07-02, last commit 2023-03-02, main language Python  
+
+
+### [cuda-python](https://github.com/nvidia/cuda-python) by [nvidia](https://github.com/nvidia)  
+cuda-python: CUDA Python Low-level Bindings  
+[https://nvidia.github.io/cuda-python/](https://nvidia.github.io/cuda-python/)  
+[https://github.com/nvidia/cuda-python](https://github.com/nvidia/cuda-python)  
+6.24 stars per week over 87 weeks  
+548 stars, 43 forks, 22 watches  
+[ml](categories/ml.md) category, created 2021-06-28, last commit 2023-02-28, main language Python  
+
+
+### [loky](https://github.com/joblib/loky) by [joblib](https://github.com/joblib)  
+loky: Robust and reusable Executor for joblib  
+[http://loky.readthedocs.io/en/stable/](http://loky.readthedocs.io/en/stable/)  
+[https://github.com/joblib/loky](https://github.com/joblib/loky)  
+1.19 stars per week over 375 weeks  
+445 stars, 43 forks, 10 watches  
+[perf](categories/perf.md) category, created 2015-12-25, last commit 2023-03-02, main language Python  
+<sub><sup>multiprocessing-library, python</sup></sub>
 
 
-### [cartopy](https://github.com/scitools/cartopy) by [scitools](https://github.com/scitools)  
-Cartopy - a cartographic python library with matplotlib support  
-[https://scitools.org.uk/cartopy/docs/latest](https://scitools.org.uk/cartopy/docs/latest)  
-[https://github.com/scitools/cartopy](https://github.com/scitools/cartopy)  
-2.11 stars per week over 539 weeks  
-1,137 stars, 334 forks, 55 watches  
-[gis](categories/gis.md) category, created 2012-08-03, last commit 2022-11-30, main language Python  
-<sub><sup>cartopy, geometry, maps, matplotlib, projections, python, spatial</sup></sub>
+### [earthengine-api](https://github.com/google/earthengine-api) by [google](https://github.com/google)  
+earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.  
+[https://github.com/google/earthengine-api](https://github.com/google/earthengine-api)  
+5.22 stars per week over 410 weeks  
+2,143 stars, 918 forks, 207 watches  
+[gis](categories/gis.md) category, created 2015-04-22, last commit 2023-03-01, main language JavaScript  
 
 
-### [asitop](https://github.com/tlkh/asitop) by [tlkh](https://github.com/tlkh)  
-asitop: Perf monitoring CLI tool for Apple Silicon  
-[https://tlkh.github.io/asitop/](https://tlkh.github.io/asitop/)  
-[https://github.com/tlkh/asitop](https://github.com/tlkh/asitop)  
-19 stars per week over 58 weeks  
-1,133 stars, 67 forks, 13 watches  
-[perf](categories/perf.md) category, created 2021-10-27, last commit 2022-08-20, main language Python  
-<sub><sup>apple-silicon, cli, cpu, gpu, m1, macos</sup></sub>
+### [spacy-streamlit](https://github.com/explosion/spacy-streamlit) by [explosion](https://github.com/explosion)  
+spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps  
+[https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py](https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py)  
+[https://github.com/explosion/spacy-streamlit](https://github.com/explosion/spacy-streamlit)  
+4.51 stars per week over 140 weeks  
+635 stars, 103 forks, 17 watches  
+[nlp](categories/nlp.md) category, created 2020-06-23, last commit 2023-02-27, main language Python  
+<sub><sup>dependency-parsing, machine-learning, named-entity-recognition, natural-language-processing, ner, nlp, part-of-speech-tagging, spacy, streamlit, text-classification, tokenization, visualizer, visualizers, word-vectors</sup></sub>
 
 
-### [mangum](https://github.com/jordaneremieff/mangum) by [jordaneremieff](https://github.com/jordaneremieff)  
-mangum: AWS Lambda support for ASGI applications  
-[https://mangum.io/](https://mangum.io/)  
-[https://github.com/jordaneremieff/mangum](https://github.com/jordaneremieff/mangum)  
-5.55 stars per week over 203 weeks  
-1,128 stars, 78 forks, 15 watches  
-[web](categories/web.md) category, created 2019-01-14, last commit 2022-11-27, main language Python  
-<sub><sup>api-gateway, asgi, asyncio, aws, aws-lambda, django, fastapi, lambda, python, python3, quart, sanic, serverless, starlette</sup></sub>
+### [algo-trader](https://github.com/idanya/algo-trader) by [idanya](https://github.com/idanya)  
+algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.  
+[https://github.com/idanya/algo-trader](https://github.com/idanya/algo-trader)  
+8.28 stars per week over 76 weeks  
+635 stars, 67 forks, 22 watches  
+[finance](categories/finance.md) category, created 2021-09-14, last commit 2023-03-02, main language Python  
+<sub><sup>algorithmic-trading, backtesting, crypto-bot, python, technical-analysis, trading-bot, trading-strategies</sup></sub>
 
 
-### [theseus](https://github.com/facebookresearch/theseus) by [facebookresearch](https://github.com/facebookresearch)  
-theseus: A library for differentiable nonlinear optimization  
-[https://github.com/facebookresearch/theseus](https://github.com/facebookresearch/theseus)  
-20 stars per week over 54 weeks  
-1,125 stars, 74 forks, 28 watches  
-[math](categories/math.md) category, created 2021-11-18, last commit 2022-12-05, main language Python  
-<sub><sup>bilevel-optimization, computer-vision, deep-learning, differentiable-optimization, embodied-ai, gauss-newton, implicit-differentiation, levenberg-marquardt, nonlinear-least-squares, pytorch, robotics</sup></sub>
+### [micrograd](https://github.com/karpathy/micrograd) by [karpathy](https://github.com/karpathy)  
+micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API  
+[https://github.com/karpathy/micrograd](https://github.com/karpathy/micrograd)  
+27 stars per week over 150 weeks  
+4,218 stars, 460 forks, 93 watches  
+[study](categories/study.md) category, created 2020-04-13, last commit 2020-04-18, main language Jupyter Notebook  
 
 
-### [anyio](https://github.com/agronholm/anyio) by [agronholm](https://github.com/agronholm)  
-anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio  
-[https://github.com/agronholm/anyio](https://github.com/agronholm/anyio)  
-5.01 stars per week over 224 weeks  
-1,125 stars, 95 forks, 24 watches  
-[perf](categories/perf.md) category, created 2018-08-19, last commit 2022-11-26, main language Python  
-<sub><sup>async-await, asyncio, curio, trio</sup></sub>
+### [pmdarima](https://github.com/alkaline-ml/pmdarima) by [alkaline-ml](https://github.com/alkaline-ml)  
+pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.  
+[https://www.alkaline-ml.com/pmdarima](https://www.alkaline-ml.com/pmdarima)  
+[https://github.com/alkaline-ml/pmdarima](https://github.com/alkaline-ml/pmdarima)  
+4.29 stars per week over 309 weeks  
+1,327 stars, 220 forks, 36 watches  
+[time-series](categories/time-series.md) category, created 2017-03-30, last commit 2022-12-20, main language Python  
+<sub><sup>arima, econometrics, forecasting, forecasting-models, machine-learning, pmdarima, python, sarimax, time-series</sup></sub>
 
 
-### [advertorch](https://github.com/borealisai/advertorch) by [borealisai](https://github.com/borealisai)  
-advertorch: A Toolbox for Adversarial Robustness Research  
-[https://github.com/borealisai/advertorch](https://github.com/borealisai/advertorch)  
-5.33 stars per week over 209 weeks  
-1,119 stars, 178 forks, 27 watches  
-[ml](categories/ml.md) category, created 2018-11-29, last commit 2022-05-29, main language Jupyter Notebook  
-<sub><sup>adversarial-attacks, adversarial-example, adversarial-examples, adversarial-learning, adversarial-machine-learning, adversarial-perturbations, benchmarking, machine-learning, pytorch, robustness, security, toolbox</sup></sub>
+### [neuralcoref](https://github.com/huggingface/neuralcoref) by [huggingface](https://github.com/huggingface)  
+neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks  
+[https://huggingface.co/coref/](https://huggingface.co/coref/)  
+[https://github.com/huggingface/neuralcoref](https://github.com/huggingface/neuralcoref)  
+8.97 stars per week over 295 weeks  
+2,653 stars, 460 forks, 97 watches  
+[nlp](categories/nlp.md) category, created 2017-07-03, last commit 2021-06-22, main language C  
+<sub><sup>coreference, coreference-resolution, machine-learning, neural-networks, nlp, python, pytorch, spacy, spacy-extension, spacy-pipeline</sup></sub>
 
 
-### [opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) by [open-telemetry](https://github.com/open-telemetry)  
-opentelemetry-python: OpenTelemetry Python API and SDK   
-[https://opentelemetry.io](https://opentelemetry.io)  
-[https://github.com/open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python)  
-5.95 stars per week over 187 weeks  
-1,113 stars, 402 forks, 36 watches  
-[util](categories/util.md) category, created 2019-05-07, last commit 2022-12-06, main language Python  
-<sub><sup>correlationcontext, distributed-tracing, logging, metrics, opentelemetry, python, sdk, tracecontext</sup></sub>
+### [textdistance](https://github.com/life4/textdistance) by [life4](https://github.com/life4)  
+textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.  
+[https://github.com/life4/textdistance](https://github.com/life4/textdistance)  
+10 stars per week over 304 weeks  
+3,064 stars, 241 forks, 61 watches  
+[nlp](categories/nlp.md) category, created 2017-05-05, last commit 2022-09-18, main language Python  
+<sub><sup>algorithm, algorithms, damerau-levenshtein, damerau-levenshtein-distance, diff, distance, distance-calculation, hamming-distance, jellyfish, levenshtein, levenshtein-distance, python, textdistance</sup></sub>
 
 
-### [pycom](https://github.com/omyyyy/pycom) by [omyyyy](https://github.com/omyyyy)  
-pycom: A Python compiler, down to native code, using C++  
-[https://github.com/omyyyy/pycom](https://github.com/omyyyy/pycom)  
-53 stars per week over 20 weeks  
-1,097 stars, 21 forks, 17 watches  
-[perf](categories/perf.md) category, created 2022-07-16, last commit 2022-08-31, main language C++  
+### [basemap](https://github.com/matplotlib/basemap) by [matplotlib](https://github.com/matplotlib)  
+basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib  
+[https://github.com/matplotlib/basemap](https://github.com/matplotlib/basemap)  
+1.13 stars per week over 628 weeks  
+712 stars, 395 forks, 60 watches  
+[gis](categories/gis.md) category, created 2011-02-19, last commit 2022-11-29, main language Python  
+<sub><sup>gis, maps, plots</sup></sub>
 
 
-### [pytest-bdd](https://github.com/pytest-dev/pytest-bdd) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-bdd: BDD library for the py.test runner  
-[https://pytest-bdd.readthedocs.io/en/latest/](https://pytest-bdd.readthedocs.io/en/latest/)  
-[https://github.com/pytest-dev/pytest-bdd](https://github.com/pytest-dev/pytest-bdd)  
-2.17 stars per week over 505 weeks  
-1,096 stars, 186 forks, 53 watches  
-[testing](categories/testing.md) category, created 2013-03-29, last commit 2022-12-06, main language Python  
+### [Mephisto](https://github.com/facebookresearch/mephisto) by [facebookresearch](https://github.com/facebookresearch)  
+Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.   
+[https://mephisto.ai/](https://mephisto.ai/)  
+[https://github.com/facebookresearch/mephisto](https://github.com/facebookresearch/mephisto)  
+1.42 stars per week over 184 weeks  
+263 stars, 59 forks, 15 watches  
+[data](categories/data.md) category, created 2019-08-19, last commit 2023-02-18, main language JavaScript  
 
 
-### [BlackSheep](https://github.com/neoteroi/blacksheep) by [neoteroi](https://github.com/neoteroi)  
-BlackSheep: Fast ASGI web framework for Python  
-[https://www.neoteroi.dev/blacksheep/](https://www.neoteroi.dev/blacksheep/)  
-[https://github.com/neoteroi/blacksheep](https://github.com/neoteroi/blacksheep)  
-5.19 stars per week over 210 weeks  
-1,095 stars, 49 forks, 24 watches  
-[web](categories/web.md) category, created 2018-11-22, last commit 2022-11-20, main language Python  
-<sub><sup>asgi, asyncio, blacksheep, framework, http, http-server, python, rest, server, web</sup></sub>
+### [pyfolio](https://github.com/quantopian/pyfolio) by [quantopian](https://github.com/quantopian)  
+pyfolio: Portfolio and risk analytics in Python  
+[https://quantopian.github.io/pyfolio](https://quantopian.github.io/pyfolio)  
+[https://github.com/quantopian/pyfolio](https://github.com/quantopian/pyfolio)  
+11 stars per week over 404 weeks  
+4,845 stars, 1,553 forks, 306 watches  
+[finance](categories/finance.md) category, created 2015-06-01, last commit 2020-07-15, main language Jupyter Notebook  
 
 
-### [httptools](https://github.com/magicstack/httptools) by [magicstack](https://github.com/magicstack)  
-httptools: Fast HTTP parser  
-[https://github.com/magicstack/httptools](https://github.com/magicstack/httptools)  
-3.13 stars per week over 345 weeks  
-1,081 stars, 69 forks, 40 watches  
-[web](categories/web.md) category, created 2016-04-25, last commit 2022-09-13, main language Python  
+### [fast-api-admin-template](https://github.com/janetech-inc/fast-api-admin-template) by [janetech-inc](https://github.com/janetech-inc)  
+fast-api-admin-template:  A test driven micro-service template to build and deploy a fast-api service with admin feature.  
+[https://github.com/janetech-inc/fast-api-admin-template](https://github.com/janetech-inc/fast-api-admin-template)  
+37 stars per week over 2 weeks  
+96 stars, 10 forks, 3 watches  
+[template](categories/template.md) category, created 2023-02-15, last commit 2023-03-01, main language JavaScript  
 
 
-### [pysal](https://github.com/pysal/pysal)  
-PySAL: Python Spatial Analysis Library Meta-Package  
-[http://pysal.org/pysal](http://pysal.org/pysal)  
-[https://github.com/pysal/pysal](https://github.com/pysal/pysal)  
-2.11 stars per week over 511 weeks  
-1,080 stars, 283 forks, 81 watches  
-[gis](categories/gis.md) category, created 2013-02-19, last commit 2022-07-23, main language Jupyter Notebook  
+### [pdoc](https://github.com/pdoc3/pdoc) by [pdoc3](https://github.com/pdoc3)  
+pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects  
+[https://pdoc3.github.io/pdoc/](https://pdoc3.github.io/pdoc/)  
+[https://github.com/pdoc3/pdoc](https://github.com/pdoc3/pdoc)  
+4.33 stars per week over 217 weeks  
+942 stars, 136 forks, 8 watches  
+[util](categories/util.md) category, created 2019-01-02, last commit 2022-12-21, main language Python  
+<sub><sup>api-documentation, docs, docs-generator, docstring, docstring-documentation, docstrings, documentation, documentation-dumper, documentation-generator, documentation-tool, generator, hacktoberfest, pdoc, python, python3</sup></sub>
 
 
-### [jsonpickle](https://github.com/jsonpickle/jsonpickle)  
-jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.  
-[https://jsonpickle.github.io](https://jsonpickle.github.io)  
-[https://github.com/jsonpickle/jsonpickle](https://github.com/jsonpickle/jsonpickle)  
-1.59 stars per week over 677 weeks  
-1,078 stars, 152 forks, 31 watches  
-[data](categories/data.md) category, created 2009-12-10, last commit 2022-12-02, main language Python  
-<sub><sup>bsd-3-clause, deserialization, json, objectstorage, pickle, python, serialization</sup></sub>
+### [tiny-diffusion](https://github.com/tanelp/tiny-diffusion) by [tanelp](https://github.com/tanelp)  
+tiny-diffusion: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.  
+[https://github.com/tanelp/tiny-diffusion](https://github.com/tanelp/tiny-diffusion)  
+49 stars per week over 7 weeks  
+357 stars, 25 forks, 7 watches  
+[ml](categories/ml.md) category, created 2023-01-13, last commit 2023-02-19, main language Jupyter Notebook  
 
 
-### [tensorstore](https://github.com/google/tensorstore) by [google](https://github.com/google)  
-tensorstore: Library for reading and writing large multi-dimensional arrays.  
-[https://google.github.io/tensorstore/](https://google.github.io/tensorstore/)  
-[https://github.com/google/tensorstore](https://github.com/google/tensorstore)  
-7.59 stars per week over 140 weeks  
-1,065 stars, 77 forks, 30 watches  
-[data](categories/data.md) category, created 2020-03-30, last commit 2022-12-06, main language C++  
+### [pymde](https://github.com/cvxgrp/pymde) by [cvxgrp](https://github.com/cvxgrp)  
+pymde: Minimum-distortion embedding with PyTorch  
+[https://pymde.org](https://pymde.org)  
+[https://github.com/cvxgrp/pymde](https://github.com/cvxgrp/pymde)  
+3.94 stars per week over 118 weeks  
+465 stars, 26 forks, 9 watches  
+[ml](categories/ml.md) category, created 2020-11-29, last commit 2022-11-20, main language Python  
+<sub><sup>cuda, dimensionality-reduction, embedding, feature-vectors, gpu, graph-embedding, machine-learning, pytorch, visualization</sup></sub>
 
 
-### [typeguard](https://github.com/agronholm/typeguard) by [agronholm](https://github.com/agronholm)  
-typeguard: Run-time type checker for Python  
-[https://github.com/agronholm/typeguard](https://github.com/agronholm/typeguard)  
-2.94 stars per week over 362 weeks  
-1,064 stars, 79 forks, 17 watches  
-[typing](categories/typing.md) category, created 2015-12-27, last commit 2022-10-11, main language Python  
+### [dgl-ke](https://github.com/awslabs/dgl-ke) by [awslabs](https://github.com/awslabs)  
+dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.  
+[https://dglke.dgl.ai/doc/](https://dglke.dgl.ai/doc/)  
+[https://github.com/awslabs/dgl-ke](https://github.com/awslabs/dgl-ke)  
+6.88 stars per week over 156 weeks  
+1,078 stars, 183 forks, 23 watches  
+[ml](categories/ml.md) category, created 2020-03-03, last commit 2022-11-18, main language Python  
+<sub><sup>dgl, graph-learning, knowledge-graph, knowledge-graphs-embeddings, machine-learning</sup></sub>
 
 
-### [pyjanitor](https://github.com/pyjanitor-devs/pyjanitor) by [pyjanitor-devs](https://github.com/pyjanitor-devs)  
-pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor  
-[https://pyjanitor-devs.github.io/pyjanitor](https://pyjanitor-devs.github.io/pyjanitor)  
-[https://github.com/pyjanitor-devs/pyjanitor](https://github.com/pyjanitor-devs/pyjanitor)  
-4.28 stars per week over 248 weeks  
-1,063 stars, 159 forks, 20 watches  
-[pandas](categories/pandas.md) category, created 2018-03-04, last commit 2022-11-30, main language Python  
-<sub><sup>cleaning-data, data, data-engineering, dataframe, hacktoberfest, pandas, pydata</sup></sub>
+### [py-evm](https://github.com/ethereum/py-evm) by [ethereum](https://github.com/ethereum)  
+py-evm: A Python implementation of the Ethereum Virtual Machine  
+[https://py-evm.readthedocs.io/en/latest/](https://py-evm.readthedocs.io/en/latest/)  
+[https://github.com/ethereum/py-evm](https://github.com/ethereum/py-evm)  
+5.99 stars per week over 322 weeks  
+1,933 stars, 578 forks, 97 watches  
+[crypto](categories/crypto.md) category, created 2016-12-27, last commit 2022-12-16, main language Python  
+<sub><sup>ethereum, ethereum-virtual-machine, evm, python</sup></sub>
 
 
-### [diffusion-models-class](https://github.com/huggingface/diffusion-models-class) by [huggingface](https://github.com/huggingface)  
-diffusion-models-class: Materials for the Hugging Face Diffusion Models Course  
-[https://github.com/huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class)  
-134 stars per week over 7 weeks  
-1,059 stars, 75 forks, 64 watches  
-[study](categories/study.md) category, created 2022-10-13, last commit 2022-12-05, main language Jupyter Notebook  
+### [DeepForest](https://github.com/weecology/deepforest) by [weecology](https://github.com/weecology)  
+DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery  
+[https://deepforest.readthedocs.io/](https://deepforest.readthedocs.io/)  
+[https://github.com/weecology/deepforest](https://github.com/weecology/deepforest)  
+1.31 stars per week over 260 weeks  
+341 stars, 132 forks, 15 watches  
+[gis](categories/gis.md) category, created 2018-03-07, last commit 2023-02-22, main language JavaScript  
 
 
-### [austin](https://github.com/p403n1x87/austin) by [p403n1x87](https://github.com/p403n1x87)  
-austin: Python frame stack sampler for CPython  
-[https://github.com/p403n1x87/austin](https://github.com/p403n1x87/austin)  
-4.81 stars per week over 219 weeks  
-1,058 stars, 35 forks, 14 watches  
-[profiling](categories/profiling.md) category, created 2018-09-20, last commit 2022-10-28, main language C  
-<sub><sup>debugging-tools, performance, profiling, python</sup></sub>
+### [bcrypt](https://github.com/pyca/bcrypt) by [pyca](https://github.com/pyca)  
+bcrypt: Modern(-ish) password hashing for your software and your servers  
+[https://github.com/pyca/bcrypt](https://github.com/pyca/bcrypt)  
+1.91 stars per week over 512 weeks  
+978 stars, 136 forks, 28 watches  
+[util](categories/util.md) category, created 2013-05-11, last commit 2023-02-27, main language Python  
+<sub><sup>python</sup></sub>
 
 
-### [mayavi](https://github.com/enthought/mayavi) by [enthought](https://github.com/enthought)  
-mayavi: 3D visualization of scientific data in Python  
-[http://docs.enthought.com/mayavi/mayavi/](http://docs.enthought.com/mayavi/mayavi/)  
-[https://github.com/enthought/mayavi](https://github.com/enthought/mayavi)  
-1.7 stars per week over 619 weeks  
-1,054 stars, 264 forks, 93 watches  
-[viz](categories/viz.md) category, created 2011-01-24, last commit 2022-10-18, main language Python  
+### [python-package-template](https://github.com/tezromach/python-package-template) by [tezromach](https://github.com/tezromach)  
+python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.  
+[https://github.com/tezromach/python-package-template](https://github.com/tezromach/python-package-template)  
+6.16 stars per week over 150 weeks  
+927 stars, 92 forks, 6 watches  
+[template](categories/template.md) category, created 2020-04-15, last commit 2022-05-18, main language Python  
+<sub><sup>best-practices, codestyle, cookiecutter, formatters, makefile, poetry, python, python-packages, semantic-versions, template</sup></sub>
 
 
-### [openai-python](https://github.com/openai/openai-python) by [openai](https://github.com/openai)  
-openai/openai-python  
-[https://github.com/openai/openai-python](https://github.com/openai/openai-python)  
-9.54 stars per week over 110 weeks  
-1,053 stars, 296 forks, 47 watches  
-[util](categories/util.md) category, created 2020-10-25, last commit 2022-11-17, main language Python  
+### [GeoTorchAI](https://github.com/datasystemslab/geotorch) by [datasystemslab](https://github.com/datasystemslab)  
+GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036)  
+[https://kanchanchy.github.io/geotorchai/](https://kanchanchy.github.io/geotorchai/)  
+[https://github.com/datasystemslab/geotorch](https://github.com/datasystemslab/geotorch)  
+7.56 stars per week over 40 weeks  
+309 stars, 21 forks, 9 watches  
+[gis](categories/gis.md) category, created 2022-05-23, last commit 2023-02-05, main language Python  
+<sub><sup>classification-model, convlstm-pytorch, deep-learning, deep-neural-networks, deepsat, prediction-model, raster-data, satellite-classification, satellite-images, segmentation-models, sequence-models, spatial-data-analysis, spatio-temporal-analysis, spatio-temporal-models, spatio-temporal-prediction, st-resnet</sup></sub>
 
 
-### [zarr-python](https://github.com/zarr-developers/zarr-python) by [zarr-developers](https://github.com/zarr-developers)  
-zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.  
-[http://zarr.readthedocs.io/](http://zarr.readthedocs.io/)  
-[https://github.com/zarr-developers/zarr-python](https://github.com/zarr-developers/zarr-python)  
-2.89 stars per week over 364 weeks  
-1,052 stars, 210 forks, 43 watches  
-[data](categories/data.md) category, created 2015-12-15, last commit 2022-12-07, main language Python  
-<sub><sup>compressed, hacktoberfest, ndimensional-arrays, python, zarr</sup></sub>
+### [cerberus](https://github.com/pyeve/cerberus) by [pyeve](https://github.com/pyeve)  
+cerberus: Lightweight, extensible data validation library for Python  
+[http://python-cerberus.org](http://python-cerberus.org)  
+[https://github.com/pyeve/cerberus](https://github.com/pyeve/cerberus)  
+5.42 stars per week over 542 weeks  
+2,943 stars, 230 forks, 48 watches  
+[data](categories/data.md) category, created 2012-10-10, last commit 2021-05-05, main language Python  
+<sub><sup>data-validation, python</sup></sub>
 
 
-### [pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-asyncio: Asyncio support for pytest  
-[https://pytest-asyncio.readthedocs.io](https://pytest-asyncio.readthedocs.io)  
-[https://github.com/pytest-dev/pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio)  
-2.63 stars per week over 399 weeks  
-1,050 stars, 115 forks, 34 watches  
-[testing](categories/testing.md) category, created 2015-04-11, last commit 2022-12-01, main language Python  
+### [earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer) by [amazon-science](https://github.com/amazon-science)  
+earth-forecasting-transformer: Official implementation of Earthformer  
+[https://github.com/amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer)  
+7.08 stars per week over 24 weeks  
+176 stars, 30 forks, 10 watches  
+[gis](categories/gis.md) category, created 2022-09-12, last commit 2023-02-03, main language Jupyter Notebook  
 
 
-### [sqlite-utils](https://github.com/simonw/sqlite-utils) by [simonw](https://github.com/simonw)  
-sqlite-utils: Python CLI utility and library for manipulating SQLite databases  
-[https://sqlite-utils.datasette.io](https://sqlite-utils.datasette.io)  
-[https://github.com/simonw/sqlite-utils](https://github.com/simonw/sqlite-utils)  
-4.54 stars per week over 229 weeks  
-1,043 stars, 81 forks, 17 watches  
-[data](categories/data.md) category, created 2018-07-14, last commit 2022-11-29, main language Python  
-<sub><sup>cli, click, datasette, datasette-io, datasette-tool, python, sqlite, sqlite-database</sup></sub>
+### [simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
+simple-salesforce: A very simple Salesforce.com REST API client for Python  
+[https://github.com/simple-salesforce/simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
+2.65 stars per week over 528 weeks  
+1,402 stars, 615 forks, 89 watches  
+[data](categories/data.md) category, created 2013-01-17, last commit 2023-01-18, main language Python  
+<sub><sup>api, api-client, python, salesforce</sup></sub>
 
 
-### [pytest-xdist](https://github.com/pytest-dev/pytest-xdist) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes.   
-[https://pytest-xdist.readthedocs.io](https://pytest-xdist.readthedocs.io)  
-[https://github.com/pytest-dev/pytest-xdist](https://github.com/pytest-dev/pytest-xdist)  
-2.74 stars per week over 379 weeks  
-1,038 stars, 185 forks, 45 watches  
-[testing](categories/testing.md) category, created 2015-09-01, last commit 2022-12-06, main language Python  
-<sub><sup>hacktoberfest, pytest, pytest-plugin</sup></sub>
+### [eli5](https://github.com/teamhg-memex/eli5) by [teamhg-memex](https://github.com/teamhg-memex)  
+eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions  
+[http://eli5.readthedocs.io](http://eli5.readthedocs.io)  
+[https://github.com/teamhg-memex/eli5](https://github.com/teamhg-memex/eli5)  
+7.86 stars per week over 337 weeks  
+2,651 stars, 326 forks, 70 watches  
+[ml](categories/ml.md) category, created 2016-09-15, last commit 2020-01-22, main language Jupyter Notebook  
+<sub><sup>crfsuite, data-science, explanation, inspection, lightgbm, machine-learning, nlp, python, scikit-learn, xgboost</sup></sub>
 
 
-### [logzero](https://github.com/metachris/logzero) by [metachris](https://github.com/metachris)  
-logzero: Robust and effective logging for Python 2 and 3.  
-[https://logzero.readthedocs.io](https://logzero.readthedocs.io)  
-[https://github.com/metachris/logzero](https://github.com/metachris/logzero)  
-3.62 stars per week over 286 weeks  
-1,035 stars, 70 forks, 26 watches  
-[util](categories/util.md) category, created 2017-06-12, last commit 2021-03-17, main language Python  
-<sub><sup>logfiles, logging, logzero, python</sup></sub>
+### [ethtx](https://github.com/ethtx/ethtx)  
+ethtx: Python package with core transaction decoding functions.  
+[https://www.ethtx.info](https://www.ethtx.info)  
+[https://github.com/ethtx/ethtx](https://github.com/ethtx/ethtx)  
+4.61 stars per week over 87 weeks  
+405 stars, 64 forks, 16 watches  
+[crypto](categories/crypto.md) category, created 2021-06-28, last commit 2022-12-01, main language Python  
 
 
-### [geoplot](https://github.com/residentmario/geoplot) by [residentmario](https://github.com/residentmario)  
-geoplot: High-level geospatial data visualization library for Python.  
-[https://residentmario.github.io/geoplot/index.html](https://residentmario.github.io/geoplot/index.html)  
-[https://github.com/residentmario/geoplot](https://github.com/residentmario/geoplot)  
-3.07 stars per week over 336 weeks  
-1,030 stars, 90 forks, 35 watches  
-[gis](categories/gis.md) category, created 2016-06-29, last commit 2022-03-18, main language Python  
-<sub><sup>geopandas, geospatial-data, geospatial-visualization, matplotlib, spatial-analysis</sup></sub>
+### [Pipe](https://github.com/julienpalard/pipe) by [julienpalard](https://github.com/julienpalard)  
+Pipe: A Python library to use infix notation in Python  
+[https://github.com/julienpalard/pipe](https://github.com/julienpalard/pipe)  
+2.37 stars per week over 673 weeks  
+1,598 stars, 103 forks, 27 watches  
+[util](categories/util.md) category, created 2010-04-08, last commit 2022-11-16, main language Python  
 
 
-### [dgl-ke](https://github.com/awslabs/dgl-ke) by [awslabs](https://github.com/awslabs)  
-dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.  
-[https://dglke.dgl.ai/doc/](https://dglke.dgl.ai/doc/)  
-[https://github.com/awslabs/dgl-ke](https://github.com/awslabs/dgl-ke)  
-7.15 stars per week over 144 weeks  
-1,030 stars, 174 forks, 23 watches  
-[ml](categories/ml.md) category, created 2020-03-03, last commit 2022-11-18, main language Python  
-<sub><sup>dgl, graph-learning, knowledge-graph, knowledge-graphs-embeddings, machine-learning</sup></sub>
+### [OWSLib](https://github.com/geopython/owslib) by [geopython](https://github.com/geopython)  
+OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.  
+[https://geopython.github.io/OWSLib](https://geopython.github.io/OWSLib)  
+[https://github.com/geopython/owslib](https://github.com/geopython/owslib)  
+0.55 stars per week over 581 weeks  
+322 stars, 262 forks, 30 watches  
+[gis](categories/gis.md) category, created 2012-01-13, last commit 2023-02-24, main language Python  
 
 
-### [WeightWatcher](https://github.com/calculatedcontent/weightwatcher) by [calculatedcontent](https://github.com/calculatedcontent)  
-WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks  
-[https://github.com/calculatedcontent/weightwatcher](https://github.com/calculatedcontent/weightwatcher)  
-4.9 stars per week over 210 weeks  
-1,029 stars, 94 forks, 29 watches  
-[ml-dl](categories/ml-dl.md) category, created 2018-11-28, last commit 2022-12-07, main language Python  
+### [cityscapesScripts](https://github.com/mcordts/cityscapesscripts) by [mcordts](https://github.com/mcordts)  
+cityscapesScripts: README and scripts for the Cityscapes Dataset  
+[https://github.com/mcordts/cityscapesscripts](https://github.com/mcordts/cityscapesscripts)  
+5.1 stars per week over 367 weeks  
+1,874 stars, 578 forks, 45 watches  
+[gis](categories/gis.md) category, created 2016-02-20, last commit 2022-10-22, main language Python  
 
 
-### [yappi](https://github.com/sumerc/yappi) by [sumerc](https://github.com/sumerc)  
-yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.  
-[https://github.com/sumerc/yappi](https://github.com/sumerc/yappi)  
-1.49 stars per week over 687 weeks  
-1,026 stars, 57 forks, 13 watches  
-[profiling](categories/profiling.md) category, created 2009-10-07, last commit 2022-11-25, main language Python  
-<sub><sup>asgi, asynchronous, asyncio, coroutine, cpu, gevent, greenlet, multi-threaded-applications, multithreading, performance, profile, profilers, python, thread</sup></sub>
+### [tket](https://github.com/cqcl/tket) by [cqcl](https://github.com/cqcl)  
+tket: Source code for the TKET quantum compiler, Python bindings and utilities  
+[https://github.com/cqcl/tket](https://github.com/cqcl/tket)  
+2.17 stars per week over 76 weeks  
+167 stars, 30 forks, 14 watches  
+[util](categories/util.md) category, created 2021-09-13, last commit 2023-02-28, main language C++  
+<sub><sup>compiler, quantum-computing</sup></sub>
 
 
-### [dataclasses-json](https://github.com/lidatong/dataclasses-json) by [lidatong](https://github.com/lidatong)  
-dataclasses-json: Easily serialize Data Classes to and from JSON  
-[https://github.com/lidatong/dataclasses-json](https://github.com/lidatong/dataclasses-json)  
-4.19 stars per week over 241 weeks  
-1,011 stars, 114 forks, 9 watches  
-[util](categories/util.md) category, created 2018-04-21, last commit 2022-08-14, main language Python  
-<sub><sup>dataclasses, json, python</sup></sub>
+### [unionml](https://github.com/unionai-oss/unionml) by [unionai-oss](https://github.com/unionai-oss)  
+UnionML: the easiest way to build and deploy machine learning microservices  
+[https://www.union.ai/unionml](https://www.union.ai/unionml)  
+[https://github.com/unionai-oss/unionml](https://github.com/unionai-oss/unionml)  
+3.94 stars per week over 67 weeks  
+266 stars, 37 forks, 4 watches  
+[ml-ops](categories/ml-ops.md) category, created 2021-11-17, last commit 2022-12-21, main language Python  
+<sub><sup>hacktoberfest, machine-learning, mlops</sup></sub>
+
+
+### [notifiers](https://github.com/liiight/notifiers) by [liiight](https://github.com/liiight)  
+notifiers: The easy way to send notifications  
+[http://notifiers.readthedocs.io/](http://notifiers.readthedocs.io/)  
+[https://github.com/liiight/notifiers](https://github.com/liiight/notifiers)  
+7.98 stars per week over 300 weeks  
+2,397 stars, 93 forks, 33 watches  
+[util](categories/util.md) category, created 2017-06-01, last commit 2022-07-14, main language Python  
+<sub><sup>notification-service, notifications, notifier, pypi, python, python3</sup></sub>
 
 
-### [fiber](https://github.com/uber/fiber) by [uber](https://github.com/uber)  
-fiber: Distributed Computing for AI Made Simple  
-[https://uber.github.io/fiber/](https://uber.github.io/fiber/)  
-[https://github.com/uber/fiber](https://github.com/uber/fiber)  
-6.53 stars per week over 152 weeks  
-994 stars, 112 forks, 21 watches  
-[data](categories/data.md) category, created 2020-01-07, last commit 2021-03-15, main language Python  
-<sub><sup>distributed-computing, machine-learning, multiprocessing, python, sandbox</sup></sub>
+### [keras-rl](https://github.com/keras-rl/keras-rl)  
+keras-rl: Deep Reinforcement Learning for Keras.  
+[http://keras-rl.readthedocs.io/](http://keras-rl.readthedocs.io/)  
+[https://github.com/keras-rl/keras-rl](https://github.com/keras-rl/keras-rl)  
+15 stars per week over 348 weeks  
+5,380 stars, 1,360 forks, 211 watches  
+[ml](categories/ml.md) category, created 2016-07-02, last commit 2019-11-11, main language Python  
+<sub><sup>keras, machine-learning, neural-networks, reinforcement-learning, tensorflow, theano</sup></sub>
 
 
-### [evaluate](https://github.com/huggingface/evaluate) by [huggingface](https://github.com/huggingface)  
-🤗 Evaluate: A library for easily evaluating machine learning models and datasets.  
-[https://huggingface.co/docs/evaluate](https://huggingface.co/docs/evaluate)  
-[https://github.com/huggingface/evaluate](https://github.com/huggingface/evaluate)  
-27 stars per week over 36 weeks  
-994 stars, 79 forks, 36 watches  
-[ml](categories/ml.md) category, created 2022-03-30, last commit 2022-12-06, main language Python  
-<sub><sup>evaluation, machine-learning</sup></sub>
+### [fastapi-react](https://github.com/buuntu/fastapi-react) by [buuntu](https://github.com/buuntu)  
+fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker  
+[https://github.com/buuntu/fastapi-react](https://github.com/buuntu/fastapi-react)  
+9.91 stars per week over 154 weeks  
+1,528 stars, 259 forks, 37 watches  
+[template](categories/template.md) category, created 2020-03-21, last commit 2022-02-18, main language Python  
+<sub><sup>boilerplate, cookiecutter, docker, fastapi, full-stack, jwt, nginx, oauth2, postgres, react, react-admin, sqlalchemy, typescript</sup></sub>
 
 
-### [pympler](https://github.com/pympler/pympler)  
-pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.  
-[https://github.com/pympler/pympler](https://github.com/pympler/pympler)  
-1.86 stars per week over 530 weeks  
-989 stars, 82 forks, 10 watches  
-[perf](categories/perf.md) category, created 2012-10-04, last commit 2022-07-24, main language Python  
+### [spopt](https://github.com/pysal/spopt) by [pysal](https://github.com/pysal)  
+spopt: Spatial Optimization  
+[https://pysal.org/spopt/](https://pysal.org/spopt/)  
+[https://github.com/pysal/spopt](https://github.com/pysal/spopt)  
+0.89 stars per week over 209 weeks  
+187 stars, 34 forks, 13 watches  
+[gis](categories/gis.md) category, created 2019-03-01, last commit 2023-03-02, main language Python  
+<sub><sup>facility-location, location-allocation, location-modeling, python, regionalization, resource-planning, routing, spatial-analysis, spatial-optimization, transportation</sup></sub>
 
 
-### [pyshp](https://github.com/geospatialpython/pyshp) by [geospatialpython](https://github.com/geospatialpython)  
-pyshp: This library reads and writes ESRI Shapefiles in pure Python.  
-[https://github.com/geospatialpython/pyshp](https://github.com/geospatialpython/pyshp)  
-2.15 stars per week over 457 weeks  
-984 stars, 258 forks, 63 watches  
-[gis](categories/gis.md) category, created 2014-03-04, last commit 2022-07-28, main language Python  
+### [File-Injector](https://github.com/carlospuenteg/file-injector) by [carlospuenteg](https://github.com/carlospuenteg)  
+File-Injector: File Injector is a script that allows you to store any file in an image using steganography  
+[https://github.com/carlospuenteg/file-injector](https://github.com/carlospuenteg/file-injector)  
+20 stars per week over 19 weeks  
+397 stars, 19 forks, 7 watches  
+[util](categories/util.md) category, created 2022-10-22, last commit 2022-11-18, main language Python  
+<sub><sup>extraction, file, file-injection, file-injector, files, image, image-manipulation, image-processing, injection, noise, numpy, photography, python, python3, steganography, storage</sup></sub>
 
 
-### [Fiona](https://github.com/toblerity/fiona) by [toblerity](https://github.com/toblerity)  
-Fiona reads and writes geographic data files  
-[https://fiona.readthedocs.io/](https://fiona.readthedocs.io/)  
-[https://github.com/toblerity/fiona](https://github.com/toblerity/fiona)  
-1.71 stars per week over 570 weeks  
-977 stars, 190 forks, 49 watches  
-[gis](categories/gis.md) category, created 2011-12-31, last commit 2022-03-01, main language Python  
-<sub><sup>cli, cython, gdal, gis, ogr, python, vector</sup></sub>
+### [holoviz](https://github.com/holoviz/holoviz)  
+holoviz: High-level tools to simplify visualization in Python.  
+[https://holoviz.org/](https://holoviz.org/)  
+[https://github.com/holoviz/holoviz](https://github.com/holoviz/holoviz)  
+2.33 stars per week over 284 weeks  
+661 stars, 116 forks, 35 watches  
+[viz](categories/viz.md) category, created 2017-09-22, last commit 2023-01-30, main language Python  
+<sub><sup>colorcet, datashader, geoviews, holoviews, holoviz, hvplot, panel</sup></sub>
 
 
-### [imodels](https://github.com/csinva/imodels) by [csinva](https://github.com/csinva)  
-imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).  
-[https://csinva.io/imodels](https://csinva.io/imodels)  
-[https://github.com/csinva/imodels](https://github.com/csinva/imodels)  
-5.43 stars per week over 178 weeks  
-971 stars, 97 forks, 22 watches  
-[ml](categories/ml.md) category, created 2019-07-04, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>ai, artificial-intelligence, bayesian-rule-list, data-science, explainable-ai, explainable-ml, imodels, interpretability, machine-learning, ml, optimal-classification-tree, python, rule-learning, rulefit, rules, scikit-learn, statistics, supervised-learning</sup></sub>
+### [jellyfish](https://github.com/jamesturk/jellyfish) by [jamesturk](https://github.com/jamesturk)  
+jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.  
+[https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)  
+[https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)  
+2.72 stars per week over 660 weeks  
+1,799 stars, 152 forks, 42 watches  
+[nlp](categories/nlp.md) category, created 2010-07-09, last commit 2023-02-03, main language Python  
+<sub><sup>fuzzy-search, hacktoberfest, hamming, jaro-winkler, levenshtein, metaphone, python, soundex</sup></sub>
 
 
-### [siuba](https://github.com/machow/siuba) by [machow](https://github.com/machow)  
-siuba: Python library for using dplyr like syntax with pandas and SQL  
-[https://siuba.org](https://siuba.org)  
-[https://github.com/machow/siuba](https://github.com/machow/siuba)  
-4.86 stars per week over 199 weeks  
-970 stars, 40 forks, 20 watches  
-[pandas](categories/pandas.md) category, created 2019-02-09, last commit 2022-11-16, main language Python  
-<sub><sup>data-analysis, dplyr, pandas, python, sql</sup></sub>
+### [pecos](https://github.com/amzn/pecos) by [amzn](https://github.com/amzn)  
+PECOS - Prediction for Enormous and Correlated Spaces  
+[https://libpecos.org/](https://libpecos.org/)  
+[https://github.com/amzn/pecos](https://github.com/amzn/pecos)  
+3.02 stars per week over 133 weeks  
+403 stars, 89 forks, 21 watches  
+[ml](categories/ml.md) category, created 2020-08-12, last commit 2023-02-28, main language Python  
+<sub><sup>approximate-nearest-neighbor-search, extreme-multi-label-classification, extreme-multi-label-ranking, machine-learning-algorithms, transformers</sup></sub>
 
 
-### [python-patterns](https://github.com/brandon-rhodes/python-patterns) by [brandon-rhodes](https://github.com/brandon-rhodes)  
-python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes  
-[https://github.com/brandon-rhodes/python-patterns](https://github.com/brandon-rhodes/python-patterns)  
-3.81 stars per week over 253 weeks  
-965 stars, 88 forks, 247 watches  
-[util](categories/util.md) category, created 2018-01-31, last commit 2021-01-05, main language Python  
+### [Astra](https://github.com/flipkart-incubator/astra) by [flipkart-incubator](https://github.com/flipkart-incubator)  
+Astra: Automated Security Testing For REST API's  
+[https://github.com/flipkart-incubator/astra](https://github.com/flipkart-incubator/astra)  
+8.13 stars per week over 268 weeks  
+2,184 stars, 361 forks, 85 watches  
+[web](categories/web.md) category, created 2018-01-10, last commit 2023-02-16, main language Python  
+<sub><sup>ci-cd, owasp, penetration-testing, penetration-testing-framework, postman-collection, python, restapiautomation, sdlc, security, security-automation</sup></sub>
 
 
-### [pytest-sugar](https://github.com/teemu/pytest-sugar) by [teemu](https://github.com/teemu)  
-pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)  
-[https://github.com/teemu/pytest-sugar](https://github.com/teemu/pytest-sugar)  
-1.93 stars per week over 493 weeks  
-954 stars, 67 forks, 17 watches  
-[testing](categories/testing.md) category, created 2013-06-25, last commit 2022-12-04, main language Python  
-<sub><sup>pytest, pytest-plugin, pytest-sugar, python, testing</sup></sub>
+### [airflow-chart](https://github.com/astronomer/airflow-chart) by [astronomer](https://github.com/astronomer)  
+airflow-chart: A Helm chart to install Apache Airflow on Kubernetes  
+[https://github.com/astronomer/airflow-chart](https://github.com/astronomer/airflow-chart)  
+1.53 stars per week over 162 weeks  
+248 stars, 89 forks, 44 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-01-22, last commit 2023-03-02, main language Python  
+<sub><sup>airflow, apache-airflow, helm-chart, kubernetes</sup></sub>
 
 
-### [eo-learn](https://github.com/sentinel-hub/eo-learn) by [sentinel-hub](https://github.com/sentinel-hub)  
-eo-learn: Earth observation processing framework for machine learning in Python  
-[https://github.com/sentinel-hub/eo-learn](https://github.com/sentinel-hub/eo-learn)  
-4.02 stars per week over 235 weeks  
-948 stars, 275 forks, 51 watches  
-[gis](categories/gis.md) category, created 2018-05-31, last commit 2022-11-23, main language Python  
-<sub><sup>eo-data, eo-research, machine-learning, python-package</sup></sub>
+### [sentinelsat](https://github.com/sentinelsat/sentinelsat)  
+sentinelsat: Search and download Copernicus Sentinel satellite images  
+[https://sentinelsat.readthedocs.io](https://sentinelsat.readthedocs.io)  
+[https://github.com/sentinelsat/sentinelsat](https://github.com/sentinelsat/sentinelsat)  
+2.09 stars per week over 406 weeks  
+850 stars, 230 forks, 60 watches  
+[gis](categories/gis.md) category, created 2015-05-22, last commit 2022-11-03, main language Python  
+<sub><sup>copernicus, esa, geographic-data, hacktoberfest, open-data, remote-sensing, satellite-imagery, sentinel</sup></sub>
 
 
-### [bcrypt](https://github.com/pyca/bcrypt) by [pyca](https://github.com/pyca)  
-bcrypt: Modern(-ish) password hashing for your software and your servers  
-[https://github.com/pyca/bcrypt](https://github.com/pyca/bcrypt)  
-1.88 stars per week over 499 weeks  
-941 stars, 134 forks, 29 watches  
-[util](categories/util.md) category, created 2013-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>python</sup></sub>
+### [geojson-pydantic](https://github.com/developmentseed/geojson-pydantic) by [developmentseed](https://github.com/developmentseed)  
+geojson-pydantic: Pydantic data models for the GeoJSON spec  
+[https://github.com/developmentseed/geojson-pydantic](https://github.com/developmentseed/geojson-pydantic)  
+0.87 stars per week over 145 weeks  
+126 stars, 28 forks, 11 watches  
+[gis](categories/gis.md) category, created 2020-05-21, last commit 2023-03-01, main language Python  
+<sub><sup>geojson, geojson-spec, pydantic</sup></sub>
 
 
-### [pynacl](https://github.com/pyca/pynacl) by [pyca](https://github.com/pyca)  
-pynacl: Python binding to the Networking and Cryptography (NaCl) library  
-[https://pynacl.readthedocs.io/](https://pynacl.readthedocs.io/)  
-[https://github.com/pyca/pynacl](https://github.com/pyca/pynacl)  
-1.83 stars per week over 510 weeks  
-935 stars, 220 forks, 28 watches  
-[util](categories/util.md) category, created 2013-02-22, last commit 2022-12-05, main language C  
-<sub><sup>cryptography, libsodium, nacl, python</sup></sub>
+### [finmarketpy](https://github.com/cuemacro/finmarketpy) by [cuemacro](https://github.com/cuemacro)  
+finmarketpy: Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)  
+[http://www.cuemacro.com](http://www.cuemacro.com)  
+[https://github.com/cuemacro/finmarketpy](https://github.com/cuemacro/finmarketpy)  
+7.31 stars per week over 419 weeks  
+3,065 stars, 482 forks, 217 watches  
+[finance](categories/finance.md) category, created 2015-02-19, last commit 2022-12-20, main language Python  
+<sub><sup>backtesting-trading-strategies, python, trading-strategies</sup></sub>
 
 
-### [scikit-lego](https://github.com/koaning/scikit-lego) by [koaning](https://github.com/koaning)  
-scikit-lego: Extra blocks for scikit-learn pipelines.  
-[https://scikit-lego.netlify.app](https://scikit-lego.netlify.app)  
-[https://github.com/koaning/scikit-lego](https://github.com/koaning/scikit-lego)  
-4.61 stars per week over 202 weeks  
-932 stars, 99 forks, 18 watches  
-[ml](categories/ml.md) category, created 2019-01-21, last commit 2022-11-02, main language Python  
-<sub><sup>common-sense, machine-learning, scikit-learn</sup></sub>
+### [PyNeuraLogic](https://github.com/lukaszahradnik/pyneuralogic) by [lukaszahradnik](https://github.com/lukaszahradnik)  
+PyNeuraLogic lets you use Python to create Differentiable Logic Programs  
+[https://pyneuralogic.readthedocs.io/](https://pyneuralogic.readthedocs.io/)  
+[https://github.com/lukaszahradnik/pyneuralogic](https://github.com/lukaszahradnik/pyneuralogic)  
+1.85 stars per week over 117 weeks  
+216 stars, 18 forks, 5 watches  
+[math](categories/math.md) category, created 2020-12-06, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, differentiable-programming, geometric-deep-learning, graph-neural-networks, logic-programming, machine-learning, python, pytorch, relational-learning</sup></sub>
 
 
-### [pycoingecko](https://github.com/man-c/pycoingecko) by [man-c](https://github.com/man-c)  
-pycoingecko: Python wrapper for the CoinGecko API  
-[https://github.com/man-c/pycoingecko](https://github.com/man-c/pycoingecko)  
-4.16 stars per week over 223 weeks  
-931 stars, 242 forks, 32 watches  
-[crypto](categories/crypto.md) category, created 2018-08-24, last commit 2022-10-26, main language Python  
-<sub><sup>api, api-wrapper, coingecko, crypto, cryptocurrency, nft, nfts, python, python3, wrapper</sup></sub>
+### [mayavi](https://github.com/enthought/mayavi) by [enthought](https://github.com/enthought)  
+mayavi: 3D visualization of scientific data in Python  
+[http://docs.enthought.com/mayavi/mayavi/](http://docs.enthought.com/mayavi/mayavi/)  
+[https://github.com/enthought/mayavi](https://github.com/enthought/mayavi)  
+1.72 stars per week over 631 weeks  
+1,088 stars, 265 forks, 97 watches  
+[viz](categories/viz.md) category, created 2011-01-24, last commit 2022-10-18, main language Python  
 
 
-### [dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components) by [facultyai](https://github.com/facultyai)  
-dash-bootstrap-components: Bootstrap components for Plotly Dash  
-[https://dash-bootstrap-components.opensource.faculty.ai/](https://dash-bootstrap-components.opensource.faculty.ai/)  
-[https://github.com/facultyai/dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components)  
-4.21 stars per week over 219 weeks  
-925 stars, 201 forks, 21 watches  
-[viz](categories/viz.md) category, created 2018-09-21, last commit 2022-08-03, main language JavaScript  
-<sub><sup>bootstrap, dashboards, julia, plotly-dash, python, r</sup></sub>
+### [git-re-basin](https://github.com/samuela/git-re-basin) by [samuela](https://github.com/samuela)  
+git-re-basin: Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"  
+[https://arxiv.org/abs/2209.04836](https://arxiv.org/abs/2209.04836)  
+[https://github.com/samuela/git-re-basin](https://github.com/samuela/git-re-basin)  
+15 stars per week over 24 weeks  
+378 stars, 33 forks, 5 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-09-13, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, deeplearning, jax, machine-learning, neural-networks</sup></sub>
 
 
-### [ai-economist](https://github.com/salesforce/ai-economist) by [salesforce](https://github.com/salesforce)  
-ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).  
-[https://www.einstein.ai/the-ai-economist](https://www.einstein.ai/the-ai-economist)  
-[https://github.com/salesforce/ai-economist](https://github.com/salesforce/ai-economist)  
-7.2 stars per week over 126 weeks  
-913 stars, 189 forks, 44 watches  
-[sim](categories/sim.md) category, created 2020-07-02, last commit 2022-05-09, main language Python  
-<sub><sup>ai, deep-reinforcement-learning, economics, ml, multi-agent, multi-agent-reinforcement-learning, python-3, reinforcement-learning-environments, simulation-framework</sup></sub>
+### [human-learn](https://github.com/koaning/human-learn) by [koaning](https://github.com/koaning)  
+human-learn: Natural Intelligence is still a pretty good idea.  
+[https://koaning.github.io/human-learn/](https://koaning.github.io/human-learn/)  
+[https://github.com/koaning/human-learn](https://github.com/koaning/human-learn)  
+4.94 stars per week over 138 weeks  
+682 stars, 55 forks, 13 watches  
+[data](categories/data.md) category, created 2020-07-11, last commit 2023-02-23, main language Jupyter Notebook  
+<sub><sup>benchmark, machine-learning, scikit-learn</sup></sub>
 
 
-### [tavern](https://github.com/taverntesting/tavern) by [taverntesting](https://github.com/taverntesting)  
-tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax  
-[https://taverntesting.github.io/](https://taverntesting.github.io/)  
-[https://github.com/taverntesting/tavern](https://github.com/taverntesting/tavern)  
-3.41 stars per week over 266 weeks  
-908 stars, 179 forks, 28 watches  
-[testing](categories/testing.md) category, created 2017-11-01, last commit 2022-11-27, main language Python  
-<sub><sup>http, mqtt, pytest, python, test-automation, testing</sup></sub>
+### [exchange_calendars](https://github.com/gerrymanoim/exchange_calendars) by [gerrymanoim](https://github.com/gerrymanoim)  
+exchange_calendars: Calendars for various securities exchanges.  
+[https://github.com/gerrymanoim/exchange_calendars](https://github.com/gerrymanoim/exchange_calendars)  
+1.92 stars per week over 122 weeks  
+235 stars, 78 forks, 14 watches  
+[finance](categories/finance.md) category, created 2020-10-30, last commit 2023-02-14, main language Python  
 
 
-### [transformers-interpret](https://github.com/cdpierse/transformers-interpret) by [cdpierse](https://github.com/cdpierse)  
-transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.   
-[https://github.com/cdpierse/transformers-interpret](https://github.com/cdpierse/transformers-interpret)  
-6.87 stars per week over 132 weeks  
-907 stars, 80 forks, 16 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2020-05-27, last commit 2022-11-17, main language Jupyter Notebook  
-<sub><sup>captum, computer-vision, deep-learning, explainable-ai, interpretability, machine-learning, model-explainability, natural-language-processing, neural-network, nlp, transformers, transformers-model</sup></sub>
+### [pyalgotrade](https://github.com/gbeced/pyalgotrade) by [gbeced](https://github.com/gbeced)  
+pyalgotrade: Python Algorithmic Trading Library  
+[http://gbeced.github.io/pyalgotrade/](http://gbeced.github.io/pyalgotrade/)  
+[https://github.com/gbeced/pyalgotrade](https://github.com/gbeced/pyalgotrade)  
+6.83 stars per week over 573 weeks  
+3,915 stars, 1,333 forks, 353 watches  
+[finance](categories/finance.md) category, created 2012-03-07, last commit 2023-03-05, main language Python  
 
 
-### [pdoc](https://github.com/pdoc3/pdoc) by [pdoc3](https://github.com/pdoc3)  
-pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects  
-[https://pdoc3.github.io/pdoc/](https://pdoc3.github.io/pdoc/)  
-[https://github.com/pdoc3/pdoc](https://github.com/pdoc3/pdoc)  
-4.41 stars per week over 205 weeks  
-905 stars, 136 forks, 8 watches  
-[util](categories/util.md) category, created 2019-01-02, last commit 2022-10-29, main language Python  
-<sub><sup>api-documentation, docs, docs-generator, docstring, docstring-documentation, docstrings, documentation, documentation-dumper, documentation-generator, documentation-tool, generator, hacktoberfest, pdoc, python, python3</sup></sub>
+### [earthpy](https://github.com/earthlab/earthpy) by [earthlab](https://github.com/earthlab)  
+earthpy: A package built to support working with spatial data using open source python  
+[https://earthpy.readthedocs.io](https://earthpy.readthedocs.io)  
+[https://github.com/earthlab/earthpy](https://github.com/earthlab/earthpy)  
+1.61 stars per week over 262 weeks  
+422 stars, 151 forks, 21 watches  
+[gis](categories/gis.md) category, created 2018-02-20, last commit 2021-12-20, main language Python  
+<sub><sup>education, python, raster, spatial-data, vector</sup></sub>
 
 
-### [connector-x](https://github.com/sfu-db/connector-x) by [sfu-db](https://github.com/sfu-db)  
-connector-x: Fastest library to load data from DB to DataFrames in Rust and Python  
-[https://sfu-db.github.io/connector-x/intro.html](https://sfu-db.github.io/connector-x/intro.html)  
-[https://github.com/sfu-db/connector-x](https://github.com/sfu-db/connector-x)  
-9.1 stars per week over 99 weeks  
-901 stars, 66 forks, 24 watches  
-[data](categories/data.md) category, created 2021-01-13, last commit 2022-12-05, main language Rust  
-<sub><sup>database, dataframe, python, rust, sql</sup></sub>
+### [emmett](https://github.com/emmett-framework/emmett) by [emmett-framework](https://github.com/emmett-framework)  
+emmett: The web framework for inventors  
+[https://github.com/emmett-framework/emmett](https://github.com/emmett-framework/emmett)  
+1.9 stars per week over 436 weeks  
+829 stars, 62 forks, 31 watches  
+[web](categories/web.md) category, created 2014-10-20, last commit 2023-01-30, main language Python  
+<sub><sup>asgi, asyncio, emmett, python, web-framework</sup></sub>
 
 
-### [similarity](https://github.com/tensorflow/similarity) by [tensorflow](https://github.com/tensorflow)  
-similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.  
-[https://github.com/tensorflow/similarity](https://github.com/tensorflow/similarity)  
-6.96 stars per week over 129 weeks  
-900 stars, 84 forks, 27 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-06-15, last commit 2022-12-02, main language Python  
-<sub><sup>barlow-twins, clustering, contrastive-learning, cosine-similarity, deep-learning, knn, machine-learning, metric-learning, nearest-neighbor-search, nearest-neighbors, python, simclr, simclr2, similarity-learning, similarity-search, simsiam, tensorflow, unsupervised-learning</sup></sub>
+### [whale](https://github.com/hyperqueryhq/whale) by [hyperqueryhq](https://github.com/hyperqueryhq)  
+whale: 🐳 The stupidly simple CLI workspace for your data warehouse.  
+[https://rsyi.gitbook.io/whale](https://rsyi.gitbook.io/whale)  
+[https://github.com/hyperqueryhq/whale](https://github.com/hyperqueryhq/whale)  
+4.97 stars per week over 144 weeks  
+718 stars, 38 forks, 41 watches  
+[data](categories/data.md) category, created 2020-05-27, last commit 2022-10-13, main language Python  
+<sub><sup>data-catalog, data-discovery, data-documentation</sup></sub>
 
 
-### [cytoolz](https://github.com/pytoolz/cytoolz) by [pytoolz](https://github.com/pytoolz)  
-cytoolz: Cython implementation of Toolz: High performance functional utilities  
-[https://github.com/pytoolz/cytoolz](https://github.com/pytoolz/cytoolz)  
-1.97 stars per week over 452 weeks  
-890 stars, 67 forks, 23 watches  
-[util](categories/util.md) category, created 2014-04-04, last commit 2022-11-06, main language Python  
+### [rio-tiler](https://github.com/cogeotiff/rio-tiler) by [cogeotiff](https://github.com/cogeotiff)  
+rio-tiler: User friendly Rasterio plugin to read raster datasets.  
+[https://cogeotiff.github.io/rio-tiler/](https://cogeotiff.github.io/rio-tiler/)  
+[https://github.com/cogeotiff/rio-tiler](https://github.com/cogeotiff/rio-tiler)  
+1.35 stars per week over 282 weeks  
+382 stars, 86 forks, 66 watches  
+[gis](categories/gis.md) category, created 2017-10-06, last commit 2023-02-28, main language Python  
+<sub><sup>cog, cogeotiff, gdal, maptile, mercator, raster, raster-processing, rasterio, satellite, slippy-map, tile</sup></sub>
 
 
-### [textstat](https://github.com/shivam5992/textstat) by [shivam5992](https://github.com/shivam5992)  
-textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.  
-[https://textstat.org](https://textstat.org)  
-[https://github.com/shivam5992/textstat](https://github.com/shivam5992/textstat)  
-2.01 stars per week over 442 weeks  
-889 stars, 145 forks, 17 watches  
-[nlp](categories/nlp.md) category, created 2014-06-18, last commit 2022-07-08, main language Python  
-<sub><sup>flesch-kincaid-grade, flesch-reading-ease, python, readability, smog, textstat</sup></sub>
+### [advertools](https://github.com/eliasdabbas/advertools) by [eliasdabbas](https://github.com/eliasdabbas)  
+advertools - online marketing productivity and analysis tools  
+[https://advertools.readthedocs.io](https://advertools.readthedocs.io)  
+[https://github.com/eliasdabbas/advertools](https://github.com/eliasdabbas/advertools)  
+2.56 stars per week over 303 weeks  
+776 stars, 164 forks, 33 watches  
+[data](categories/data.md) category, created 2017-05-14, last commit 2022-12-13, main language Python  
+<sub><sup>advertising, adwords, digital-marketing, google-ads, keywords, log-analysis, logfile-parser, marketing, online-marketing, python, robots-txt, scrapy, search-engine-marketing, search-engine-optimization, seo, seo-crawler, serp, social-media, twitter-api, youtube</sup></sub>
 
 
-### [movingpandas](https://github.com/anitagraser/movingpandas) by [anitagraser](https://github.com/anitagraser)  
-movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas  
-[http://movingpandas.org](http://movingpandas.org)  
-[https://github.com/anitagraser/movingpandas](https://github.com/anitagraser/movingpandas)  
-4.28 stars per week over 207 weeks  
-888 stars, 164 forks, 36 watches  
-[gis](categories/gis.md) category, created 2018-12-16, last commit 2022-12-02, main language Python  
-<sub><sup>geopandas, movement-data, python, spatial-data-analysis, trajectory, trajectory-analysis</sup></sub>
+### [sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper) by [aws-samples](https://github.com/aws-samples)  
+sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH  
+[https://github.com/aws-samples/sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper)  
+3.99 stars per week over 20 weeks  
+81 stars, 10 forks, 6 watches  
+[util](categories/util.md) category, created 2022-10-14, last commit 2023-02-27, main language Python  
+<sub><sup>amazon-sagemaker, aws, aws-systems-manager, machine-learning, pycharm, sagemaker, sagemaker-studio, ssh, vscode</sup></sub>
 
 
-### [faster-cpython](https://github.com/markshannon/faster-cpython) by [markshannon](https://github.com/markshannon)  
-faster-cpython: How to make CPython faster.  
-[https://github.com/markshannon/faster-cpython](https://github.com/markshannon/faster-cpython)  
-7.93 stars per week over 111 weeks  
-883 stars, 20 forks, 83 watches  
-[perf](categories/perf.md) category, created 2020-10-19, last commit 2020-10-28, main language None  
+### [h3-py](https://github.com/uber/h3-py) by [uber](https://github.com/uber)  
+h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system  
+[https://uber.github.io/h3-py](https://uber.github.io/h3-py)  
+[https://github.com/uber/h3-py](https://github.com/uber/h3-py)  
+2.55 stars per week over 246 weeks  
+628 stars, 115 forks, 36 watches  
+[gis](categories/gis.md) category, created 2018-06-12, last commit 2022-11-24, main language Python  
+<sub><sup>geocoding, geospatial, gis, h3, hexagonal-architecture, python, uber</sup></sub>
 
 
-### [satpy](https://github.com/pytroll/satpy) by [pytroll](https://github.com/pytroll)  
-satpy: Python package for earth-observing satellite data processing  
-[http://satpy.readthedocs.org/en/latest/](http://satpy.readthedocs.org/en/latest/)  
-[https://github.com/pytroll/satpy](https://github.com/pytroll/satpy)  
-2.47 stars per week over 356 weeks  
-880 stars, 255 forks, 32 watches  
-[gis](categories/gis.md) category, created 2016-02-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, dask, hacktoberfest, python, satellite, weather, xarray</sup></sub>
+### [ml-metadata](https://github.com/google/ml-metadata) by [google](https://github.com/google)  
+ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.  
+[https://www.tensorflow.org/tfx/guide/mlmd](https://www.tensorflow.org/tfx/guide/mlmd)  
+[https://github.com/google/ml-metadata](https://github.com/google/ml-metadata)  
+2.41 stars per week over 215 weeks  
+520 stars, 118 forks, 29 watches  
+[ml-ops](categories/ml-ops.md) category, created 2019-01-15, last commit 2023-03-02, main language C++  
 
 
-### [asyncer](https://github.com/tiangolo/asyncer) by [tiangolo](https://github.com/tiangolo)  
-Asyncer, async and await, focused on developer experience.  
-[https://asyncer.tiangolo.com/](https://asyncer.tiangolo.com/)  
-[https://github.com/tiangolo/asyncer](https://github.com/tiangolo/asyncer)  
-18 stars per week over 48 weeks  
-878 stars, 40 forks, 14 watches  
-[perf](categories/perf.md) category, created 2022-01-04, last commit 2022-11-14, main language Python  
-<sub><sup>anyio, async, asyncio, python, trio</sup></sub>
+### [rebound](https://github.com/shobrook/rebound) by [shobrook](https://github.com/shobrook)  
+rebound: Command-line tool that instantly fetches Stack Overflow results when an exception is thrown  
+[https://github.com/shobrook/rebound](https://github.com/shobrook/rebound)  
+15 stars per week over 261 weeks  
+3,998 stars, 383 forks, 77 watches  
+[debug](categories/debug.md) category, created 2018-02-28, last commit 2022-02-16, main language Python  
+<sub><sup>command-line-interface, command-line-tool, error-messages, python, stackoverflow, terminal-app</sup></sub>
 
 
-### [data](https://github.com/pytorch/data) by [pytorch](https://github.com/pytorch)  
-data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.  
-[https://github.com/pytorch/data](https://github.com/pytorch/data)  
-10 stars per week over 82 weeks  
-865 stars, 100 forks, 26 watches  
-[data](categories/data.md) category, created 2021-05-12, last commit 2022-12-06, main language Python  
+### [ghapi](https://github.com/fastai/ghapi) by [fastai](https://github.com/fastai)  
+ghapi: A delightful and complete interface to GitHub's amazing API  
+[https://ghapi.fast.ai/](https://ghapi.fast.ai/)  
+[https://github.com/fastai/ghapi](https://github.com/fastai/ghapi)  
+3.66 stars per week over 119 weeks  
+436 stars, 44 forks, 8 watches  
+[util](categories/util.md) category, created 2020-11-21, last commit 2022-09-27, main language Jupyter Notebook  
+<sub><sup>api-client, github, github-api, nbdev, openapi</sup></sub>
 
 
-### [python-package-template](https://github.com/tezromach/python-package-template) by [tezromach](https://github.com/tezromach)  
-python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.  
-[https://github.com/tezromach/python-package-template](https://github.com/tezromach/python-package-template)  
-6.27 stars per week over 138 weeks  
-865 stars, 85 forks, 6 watches  
-[template](categories/template.md) category, created 2020-04-15, last commit 2022-05-18, main language Python  
-<sub><sup>best-practices, codestyle, cookiecutter, formatters, makefile, poetry, python, python-packages, semantic-versions, template</sup></sub>
+### [pyvis](https://github.com/westhealth/pyvis) by [westhealth](https://github.com/westhealth)  
+pyvis: Python package for creating and visualizing interactive network graphs.  
+[http://pyvis.readthedocs.io/en/latest/](http://pyvis.readthedocs.io/en/latest/)  
+[https://github.com/westhealth/pyvis](https://github.com/westhealth/pyvis)  
+2.45 stars per week over 251 weeks  
+616 stars, 115 forks, 15 watches  
+[graph](categories/graph.md) category, created 2018-05-10, last commit 2023-02-10, main language HTML  
+<sub><sup>network-visualization, networkx, python</sup></sub>
 
 
-### [blessed](https://github.com/jquast/blessed) by [jquast](https://github.com/jquast)  
-Blessed is an easy, practical library for making python terminal apps  
-[http://pypi.python.org/pypi/blessed](http://pypi.python.org/pypi/blessed)  
-[https://github.com/jquast/blessed](https://github.com/jquast/blessed)  
-1.89 stars per week over 457 weeks  
-863 stars, 67 forks, 24 watches  
-[term](categories/term.md) category, created 2014-03-01, last commit 2022-09-27, main language Python  
-<sub><sup>cli, curses, terminal</sup></sub>
+### [python-rasterstats](https://github.com/perrygeo/python-rasterstats) by [perrygeo](https://github.com/perrygeo)  
+python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.  
+[https://github.com/perrygeo/python-rasterstats](https://github.com/perrygeo/python-rasterstats)  
+0.91 stars per week over 493 weeks  
+447 stars, 108 forks, 33 watches  
+[gis](categories/gis.md) category, created 2013-09-18, last commit 2023-03-01, main language Python  
 
 
-### [bamboolib](https://github.com/tkrabel/bamboolib) by [tkrabel](https://github.com/tkrabel)  
-bamboolib - a GUI for pandas DataFrames  
-[https://bamboolib.com](https://bamboolib.com)  
-[https://github.com/tkrabel/bamboolib](https://github.com/tkrabel/bamboolib)  
-4.64 stars per week over 184 weeks  
-854 stars, 92 forks, 31 watches  
-[pandas](categories/pandas.md) category, created 2019-05-29, last commit 2022-09-27, main language Jupyter Notebook  
-<sub><sup>jupyter-notebook, jupyterlab, pandas, pandas-dataframes, python</sup></sub>
+### [pytest-sugar](https://github.com/teemu/pytest-sugar) by [teemu](https://github.com/teemu)  
+pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)  
+[https://github.com/teemu/pytest-sugar](https://github.com/teemu/pytest-sugar)  
+1.97 stars per week over 505 weeks  
+998 stars, 68 forks, 17 watches  
+[testing](categories/testing.md) category, created 2013-06-25, last commit 2022-12-11, main language Python  
+<sub><sup>pytest, pytest-plugin, pytest-sugar, python, testing</sup></sub>
 
 
-### [snoop](https://github.com/alexmojaki/snoop) by [alexmojaki](https://github.com/alexmojaki)  
-snoop: A powerful set of Python debugging tools, based on PySnooper  
-[https://github.com/alexmojaki/snoop](https://github.com/alexmojaki/snoop)  
-4.55 stars per week over 186 weeks  
-848 stars, 29 forks, 16 watches  
-[debug](categories/debug.md) category, created 2019-05-13, last commit 2022-12-05, main language Python  
-<sub><sup>debugger, debugging, debugging-tools, logging, python</sup></sub>
+### [nbformat](https://github.com/jupyter/nbformat) by [jupyter](https://github.com/jupyter)  
+nbformat: Reference implementation of the Jupyter Notebook format  
+[http://nbformat.readthedocs.io/](http://nbformat.readthedocs.io/)  
+[https://github.com/jupyter/nbformat](https://github.com/jupyter/nbformat)  
+0.49 stars per week over 412 weeks  
+204 stars, 144 forks, 26 watches  
+[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2023-03-01, main language Python  
 
 
-### [scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex) by [intel](https://github.com/intel)  
-scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application  
-[https://intel.github.io/scikit-learn-intelex/](https://intel.github.io/scikit-learn-intelex/)  
-[https://github.com/intel/scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex)  
-3.75 stars per week over 226 weeks  
-847 stars, 135 forks, 28 watches  
-[perf](categories/perf.md) category, created 2018-08-07, last commit 2022-12-05, main language Python  
-<sub><sup>ai-inference, ai-machine-learning, ai-training, analytics, big-data, data-analysis, gpu, intel, machine-learning, machine-learning-algorithms, oneapi, python, scikit-learn, swrepo</sup></sub>
+### [pyroad](https://github.com/amaargiru/pyroad) by [amaargiru](https://github.com/amaargiru)  
+pyroad: Detailed Python developer roadmap  
+[https://github.com/amaargiru/pyroad](https://github.com/amaargiru/pyroad)  
+14 stars per week over 17 weeks  
+248 stars, 27 forks, 5 watches  
+[study](categories/study.md) category, created 2022-11-03, last commit 2023-02-27, main language Jupyter Notebook  
+<sub><sup>python, roadmap, tutorial</sup></sub>
 
 
-### [skweak](https://github.com/norskregnesentral/skweak) by [norskregnesentral](https://github.com/norskregnesentral)  
-skweak: A software toolkit for weak supervision applied to NLP tasks  
-[https://github.com/norskregnesentral/skweak](https://github.com/norskregnesentral/skweak)  
-9.37 stars per week over 90 weeks  
-845 stars, 67 forks, 27 watches  
-[nlp](categories/nlp.md) category, created 2021-03-16, last commit 2022-11-08, main language Python  
-<sub><sup>data-science, distant-supervision, natural-language-processing, nlp-library, nlp-machine-learning, python, spacy, training-data, weak-supervision</sup></sub>
+### [python-devtools](https://github.com/samuelcolvin/python-devtools) by [samuelcolvin](https://github.com/samuelcolvin)  
+python-devtools: Dev tools for python  
+[https://python-devtools.helpmanual.io/](https://python-devtools.helpmanual.io/)  
+[https://github.com/samuelcolvin/python-devtools](https://github.com/samuelcolvin/python-devtools)  
+2.27 stars per week over 289 weeks  
+656 stars, 33 forks, 8 watches  
+[util](categories/util.md) category, created 2017-08-20, last commit 2023-02-06, main language Python  
+<sub><sup>devtools, python, python-devtools</sup></sub>
 
 
-### [intake](https://github.com/intake/intake)  
-Intake is a lightweight package for finding, investigating, loading and disseminating data.  
-[https://intake.readthedocs.io/](https://intake.readthedocs.io/)  
-[https://github.com/intake/intake](https://github.com/intake/intake)  
-3.03 stars per week over 277 weeks  
-841 stars, 125 forks, 41 watches  
-[data](categories/data.md) category, created 2017-08-14, last commit 2022-12-02, main language Python  
-<sub><sup>data-access, data-catalog, python</sup></sub>
+### [cytoolz](https://github.com/pytoolz/cytoolz) by [pytoolz](https://github.com/pytoolz)  
+cytoolz: Cython implementation of Toolz: High performance functional utilities  
+[https://github.com/pytoolz/cytoolz](https://github.com/pytoolz/cytoolz)  
+1.95 stars per week over 465 weeks  
+907 stars, 66 forks, 23 watches  
+[util](categories/util.md) category, created 2014-04-04, last commit 2022-12-19, main language Python  
 
 
-### [sentinelsat](https://github.com/sentinelsat/sentinelsat)  
-sentinelsat: Search and download Copernicus Sentinel satellite images  
-[https://sentinelsat.readthedocs.io](https://sentinelsat.readthedocs.io)  
-[https://github.com/sentinelsat/sentinelsat](https://github.com/sentinelsat/sentinelsat)  
-2.12 stars per week over 393 weeks  
-833 stars, 225 forks, 59 watches  
-[gis](categories/gis.md) category, created 2015-05-22, last commit 2022-11-03, main language Python  
-<sub><sup>copernicus, esa, geographic-data, hacktoberfest, open-data, remote-sensing, satellite-imagery, sentinel</sup></sub>
+### [scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
+scikit-mobility: mobility analysis in Python  
+[https://scikit-mobility.github.io/scikit-mobility/](https://scikit-mobility.github.io/scikit-mobility/)  
+[https://github.com/scikit-mobility/scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
+2.97 stars per week over 200 weeks  
+597 stars, 139 forks, 28 watches  
+[gis](categories/gis.md) category, created 2019-04-30, last commit 2023-01-20, main language Python  
+<sub><sup>complex-systems, data-analysis, data-science, human-mobility, mobility-analysis, mobility-flows, network-science, risk-assessment, scikit-mobility, statistics, synthetic-flows</sup></sub>
 
 
-### [dask-ml](https://github.com/dask/dask-ml) by [dask](https://github.com/dask)  
-dask-ml: Scalable Machine Learning with Dask  
-[http://ml.dask.org](http://ml.dask.org)  
-[https://github.com/dask/dask-ml](https://github.com/dask/dask-ml)  
-2.91 stars per week over 285 weeks  
-832 stars, 236 forks, 40 watches  
-[ml](categories/ml.md) category, created 2017-06-15, last commit 2022-10-19, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [blaze](https://github.com/blaze/blaze)  
+blaze: NumPy and Pandas interface to Big Data  
+[blaze.pydata.org](blaze.pydata.org)  
+[https://github.com/blaze/blaze](https://github.com/blaze/blaze)  
+5.79 stars per week over 540 weeks  
+3,126 stars, 388 forks, 199 watches  
+[pandas](categories/pandas.md) category, created 2012-10-26, last commit 2019-08-15, main language Python  
 
 
-### [scholarly](https://github.com/scholarly-python-package/scholarly) by [scholarly-python-package](https://github.com/scholarly-python-package)  
-scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!  
-[https://scholarly.readthedocs.io/](https://scholarly.readthedocs.io/)  
-[https://github.com/scholarly-python-package/scholarly](https://github.com/scholarly-python-package/scholarly)  
-1.98 stars per week over 418 weeks  
-830 stars, 249 forks, 24 watches  
-[data](categories/data.md) category, created 2014-12-02, last commit 2022-11-30, main language Python  
-<sub><sup>citation-analysis, citation-index, citation-network, citations, googlescholar, publication-data, python, python-3, python3, scholar, scholarly-articles, scholarly-communications</sup></sub>
+### [beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns) by [newsapps](https://github.com/newsapps)  
+beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).  
+[http://apps.chicagotribune.com/](http://apps.chicagotribune.com/)  
+[https://github.com/newsapps/beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns)  
+9.51 stars per week over 661 weeks  
+6,293 stars, 664 forks, 227 watches  
+[testing](categories/testing.md) category, created 2010-06-29, last commit 2017-12-20, main language Python  
 
 
-### [pyproj](https://github.com/pyproj4/pyproj) by [pyproj4](https://github.com/pyproj4)  
-pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library)  
-[https://pyproj4.github.io/pyproj](https://pyproj4.github.io/pyproj)  
-[https://github.com/pyproj4/pyproj](https://github.com/pyproj4/pyproj)  
-1.99 stars per week over 414 weeks  
-824 stars, 188 forks, 30 watches  
-[gis](categories/gis.md) category, created 2014-12-29, last commit 2022-12-06, main language Python  
-<sub><sup>cartographic-projection, coordinate-systems, coordinate-transformation, geodesic, geospatial, hacktoberfest, python</sup></sub>
+### [microprediction](https://github.com/microprediction/microprediction)  
+microprediction: If you can measure it, consider it predicted  
+[http://www.microprediction.org](http://www.microprediction.org)  
+[https://github.com/microprediction/microprediction](https://github.com/microprediction/microprediction)  
+1.51 stars per week over 158 weeks  
+239 stars, 39 forks, 13 watches  
+[time-series](categories/time-series.md) category, created 2020-02-20, last commit 2023-03-04, main language Jupyter Notebook  
+<sub><sup>fbprophet, filterpy, hmmlearn, kalman-filter, keras, nowcasting, online-algorithms, pmdarima, time-series, timeseries, timeseries-analysis, timeseries-clustering, timeseries-data, timeseries-database, timeseries-forecasting, timeseries-prediction, tsfresh, tslearn</sup></sub>
 
 
-### [pyscf](https://github.com/pyscf/pyscf)  
-pyscf: Python module for quantum chemistry  
-[https://github.com/pyscf/pyscf](https://github.com/pyscf/pyscf)  
-1.82 stars per week over 448 weeks  
-816 stars, 436 forks, 77 watches  
-[sim](categories/sim.md) category, created 2014-05-02, last commit 2022-11-29, main language Python  
+### [JoJoGAN](https://github.com/mchong6/jojogan) by [mchong6](https://github.com/mchong6)  
+Official PyTorch repo for JoJoGAN: One Shot Face Stylization  
+[https://github.com/mchong6/jojogan](https://github.com/mchong6/jojogan)  
+20 stars per week over 63 weeks  
+1,303 stars, 196 forks, 25 watches  
+[data](categories/data.md) category, created 2021-12-17, last commit 2022-02-05, main language Jupyter Notebook  
+<sub><sup>anime, gans, image-translation</sup></sub>
 
 
-### [deeplab2](https://github.com/google-research/deeplab2) by [google-research](https://github.com/google-research)  
-DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.  
-[https://github.com/google-research/deeplab2](https://github.com/google-research/deeplab2)  
-9.91 stars per week over 82 weeks  
-813 stars, 137 forks, 19 watches  
-[ml](categories/ml.md) category, created 2021-05-12, last commit 2022-11-05, main language Python  
+### [birdseye](https://github.com/alexmojaki/birdseye) by [alexmojaki](https://github.com/alexmojaki)  
+birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions  
+[https://birdseye.readthedocs.io](https://birdseye.readthedocs.io)  
+[https://github.com/alexmojaki/birdseye](https://github.com/alexmojaki/birdseye)  
+5.26 stars per week over 293 weeks  
+1,542 stars, 77 forks, 42 watches  
+[debug](categories/debug.md) category, created 2017-07-22, last commit 2022-05-18, main language JavaScript  
+<sub><sup>ast, birdseye, debugger, debugging, python, python-debugger</sup></sub>
 
 
-### [optimum](https://github.com/huggingface/optimum) by [huggingface](https://github.com/huggingface)  
-optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools  
-[https://huggingface.co/docs/optimum/](https://huggingface.co/docs/optimum/)  
-[https://github.com/huggingface/optimum](https://github.com/huggingface/optimum)  
-11 stars per week over 72 weeks  
-808 stars, 98 forks, 35 watches  
-[ml](categories/ml.md) category, created 2021-07-20, last commit 2022-12-06, main language Python  
-<sub><sup>graphcore, habana, inference, intel, onnx, onnxruntime, optimization, pytorch, quantization, training, transformers</sup></sub>
+### [rio-cogeo](https://github.com/cogeotiff/rio-cogeo) by [cogeotiff](https://github.com/cogeotiff)  
+rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio  
+[https://cogeotiff.github.io/rio-cogeo/](https://cogeotiff.github.io/rio-cogeo/)  
+[https://github.com/cogeotiff/rio-cogeo](https://github.com/cogeotiff/rio-cogeo)  
+0.84 stars per week over 260 weeks  
+219 stars, 30 forks, 44 watches  
+[gis](categories/gis.md) category, created 2018-03-09, last commit 2022-10-26, main language Python  
+<sub><sup>cog, cogeotiff, geotiff, rasterio, satellite</sup></sub>
 
 
-### [setfit](https://github.com/huggingface/setfit) by [huggingface](https://github.com/huggingface)  
-setfit: Efficient few-shot learning with Sentence Transformers  
-[https://github.com/huggingface/setfit](https://github.com/huggingface/setfit)  
-34 stars per week over 22 weeks  
-796 stars, 68 forks, 13 watches  
-[nlp](categories/nlp.md) category, created 2022-06-30, last commit 2022-12-07, main language Python  
-<sub><sup>few-shot-learning, nlp, sentence-transformers</sup></sub>
+### [python-driver](https://github.com/scylladb/python-driver) by [scylladb](https://github.com/scylladb)  
+python-driver: ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra  
+[https://python-driver.docs.scylladb.com](https://python-driver.docs.scylladb.com)  
+[https://github.com/scylladb/python-driver](https://github.com/scylladb/python-driver)  
+0.17 stars per week over 223 weeks  
+38 stars, 27 forks, 6 watches  
+[data](categories/data.md) category, created 2018-11-20, last commit 2023-02-15, main language Python  
+<sub><sup>python, scylladb</sup></sub>
 
 
-### [python-progressbar](https://github.com/wolph/python-progressbar) by [wolph](https://github.com/wolph)  
-python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"  
-[http://progressbar-2.readthedocs.org/en/latest/](http://progressbar-2.readthedocs.org/en/latest/)  
-[https://github.com/wolph/python-progressbar](https://github.com/wolph/python-progressbar)  
-1.41 stars per week over 563 weeks  
-792 stars, 95 forks, 22 watches  
-[util](categories/util.md) category, created 2012-02-20, last commit 2022-12-06, main language Python  
-<sub><sup>bar, cli, console, eta, gui, library, percentage, progress, progress-bar, progressbar, python, rate, terminal, time</sup></sub>
+### [pymunk](https://github.com/viblo/pymunk) by [viblo](https://github.com/viblo)  
+Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python  
+[http://www.pymunk.org](http://www.pymunk.org)  
+[https://github.com/viblo/pymunk](https://github.com/viblo/pymunk)  
+1.55 stars per week over 491 weeks  
+761 stars, 179 forks, 22 watches  
+[sim](categories/sim.md) category, created 2013-10-02, last commit 2023-01-29, main language Python  
+<sub><sup>library, physics-2d, physics-engine, physics-simulation, pygame, pyglet, python, python-library</sup></sub>
 
 
-### [emmett](https://github.com/emmett-framework/emmett) by [emmett-framework](https://github.com/emmett-framework)  
-emmett: The web framework for inventors  
-[https://github.com/emmett-framework/emmett](https://github.com/emmett-framework/emmett)  
-1.87 stars per week over 424 weeks  
-792 stars, 63 forks, 29 watches  
-[web](categories/web.md) category, created 2014-10-20, last commit 2022-11-24, main language Python  
-<sub><sup>asgi, asyncio, emmett, python, web-framework</sup></sub>
+### [activitysim](https://github.com/activitysim/activitysim)  
+activitysim: An Open Platform for Activity-Based Travel Modeling  
+[https://activitysim.github.io](https://activitysim.github.io)  
+[https://github.com/activitysim/activitysim](https://github.com/activitysim/activitysim)  
+0.33 stars per week over 454 weeks  
+152 stars, 87 forks, 42 watches  
+[sim](categories/sim.md) category, created 2014-06-18, last commit 2023-01-31, main language Jupyter Notebook  
+<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, python, travel-modeling</sup></sub>
 
 
 ### [mahotas](https://github.com/luispedro/mahotas) by [luispedro](https://github.com/luispedro)  
 mahotas: Computer Vision in Python  
 [https://mahotas.rtfd.io](https://mahotas.rtfd.io)  
 [https://github.com/luispedro/mahotas](https://github.com/luispedro/mahotas)  
-1.17 stars per week over 670 weeks  
-783 stars, 149 forks, 47 watches  
-[viz](categories/viz.md) category, created 2010-01-31, last commit 2022-11-14, main language Python  
+1.17 stars per week over 683 weeks  
+796 stars, 151 forks, 48 watches  
+[viz](categories/viz.md) category, created 2010-01-31, last commit 2023-02-26, main language Python  
 <sub><sup>c-plus-plus, computer-vision, numpy, python, python-2, python-3</sup></sub>
 
 
-### [fairo](https://github.com/facebookresearch/droidlet) by [facebookresearch](https://github.com/facebookresearch)  
-fairo: A modular embodied agent architecture and platform for building embodied agents  
-[https://github.com/facebookresearch/droidlet](https://github.com/facebookresearch/droidlet)  
-7.16 stars per week over 109 weeks  
-783 stars, 80 forks, 38 watches  
-[sim](categories/sim.md) category, created 2020-11-02, last commit 2022-12-02, main language Jupyter Notebook  
+### [skweak](https://github.com/norskregnesentral/skweak) by [norskregnesentral](https://github.com/norskregnesentral)  
+skweak: A software toolkit for weak supervision applied to NLP tasks  
+[https://github.com/norskregnesentral/skweak](https://github.com/norskregnesentral/skweak)  
+8.42 stars per week over 102 weeks  
+865 stars, 70 forks, 27 watches  
+[nlp](categories/nlp.md) category, created 2021-03-16, last commit 2022-11-08, main language Python  
+<sub><sup>data-science, distant-supervision, natural-language-processing, nlp-library, nlp-machine-learning, python, spacy, training-data, weak-supervision</sup></sub>
 
 
-### [pointers.py](https://github.com/zerointensity/pointers.py) by [zerointensity](https://github.com/zerointensity)  
-pointers.py: Bringing the hell of pointers to Python.  
-[https://pointers.zintensity.dev/](https://pointers.zintensity.dev/)  
-[https://github.com/zerointensity/pointers.py](https://github.com/zerointensity/pointers.py)  
-19 stars per week over 39 weeks  
-765 stars, 9 forks, 3 watches  
-[perf](categories/perf.md) category, created 2022-03-09, last commit 2022-11-30, main language Python  
-<sub><sup>pointers, python, python-pointers</sup></sub>
+### [mako](https://github.com/sqlalchemy/mako) by [sqlalchemy](https://github.com/sqlalchemy)  
+Mako Templates for Python  
+[https://www.makotemplates.org](https://www.makotemplates.org)  
+[https://github.com/sqlalchemy/mako](https://github.com/sqlalchemy/mako)  
+1.1 stars per week over 222 weeks  
+246 stars, 46 forks, 11 watches  
+[template](categories/template.md) category, created 2018-11-26, last commit 2023-01-03, main language Python  
 
 
-### [neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver) by [neo4j](https://github.com/neo4j)  
-neo4j-python-driver: Neo4j Bolt driver for Python  
-[https://neo4j.com/docs/api/python-driver/current/](https://neo4j.com/docs/api/python-driver/current/)  
-[https://github.com/neo4j/neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver)  
-1.91 stars per week over 396 weeks  
-757 stars, 167 forks, 99 watches  
-[data](categories/data.md) category, created 2015-05-05, last commit 2022-12-06, main language Python  
-<sub><sup>binary-protocol, cypher, database-driver, driver, graph-database, neo4j, protocol, python, python3, query-language</sup></sub>
+### [pyshp](https://github.com/geospatialpython/pyshp) by [geospatialpython](https://github.com/geospatialpython)  
+pyshp: This library reads and writes ESRI Shapefiles in pure Python.  
+[https://github.com/geospatialpython/pyshp](https://github.com/geospatialpython/pyshp)  
+2.15 stars per week over 469 weeks  
+1,008 stars, 260 forks, 64 watches  
+[gis](categories/gis.md) category, created 2014-03-04, last commit 2023-02-02, main language Python  
 
 
-### [finetuner](https://github.com/jina-ai/finetuner) by [jina-ai](https://github.com/jina-ai)  
-finetuner: :dart: Task-oriented finetuning for better embeddings on neural search  
-[https://finetuner.jina.ai](https://finetuner.jina.ai)  
-[https://github.com/jina-ai/finetuner](https://github.com/jina-ai/finetuner)  
-10 stars per week over 69 weeks  
-754 stars, 37 forks, 21 watches  
-[ml](categories/ml.md) category, created 2021-08-11, last commit 2022-12-06, main language Python  
-<sub><sup>few-shot-learning, fine-tuning, finetuning, jina, metric-learning, negative-sampling, neural-search, pretrained-models, siamese-network, similarity-learning, transfer-learning, triplet-loss</sup></sub>
+### [parameterized](https://github.com/wolever/parameterized) by [wolever](https://github.com/wolever)  
+Parameterized testing with any Python test framework  
+[https://github.com/wolever/parameterized](https://github.com/wolever/parameterized)  
+1.26 stars per week over 573 weeks  
+724 stars, 95 forks, 18 watches  
+[testing](categories/testing.md) category, created 2012-03-10, last commit 2023-03-02, main language Python  
 
 
-### [forbiddenfruit](https://github.com/clarete/forbiddenfruit) by [clarete](https://github.com/clarete)  
-forbiddenfruit: Patch built-in python objects  
-[https://clarete.li/forbiddenfruit/](https://clarete.li/forbiddenfruit/)  
-[https://github.com/clarete/forbiddenfruit](https://github.com/clarete/forbiddenfruit)  
-1.48 stars per week over 505 weeks  
-748 stars, 50 forks, 28 watches  
-[util](categories/util.md) category, created 2013-04-03, last commit 2022-03-12, main language Python  
-<sub><sup>monkey-patching, python</sup></sub>
+### [mesh](https://github.com/tensorflow/mesh) by [tensorflow](https://github.com/tensorflow)  
+Mesh TensorFlow: Model Parallelism Made Easier  
+[https://github.com/tensorflow/mesh](https://github.com/tensorflow/mesh)  
+5.92 stars per week over 232 weeks  
+1,375 stars, 241 forks, 47 watches  
+[ml-dl](categories/ml-dl.md) category, created 2018-09-20, last commit 2023-01-25, main language Python  
 
 
-### [zenodo](https://github.com/zenodo/zenodo)  
-zenodo: Research. Shared.  
-[https://zenodo.org](https://zenodo.org)  
-[https://github.com/zenodo/zenodo](https://github.com/zenodo/zenodo)  
-1.46 stars per week over 512 weeks  
-747 stars, 224 forks, 38 watches  
-[util](categories/util.md) category, created 2013-02-11, last commit 2022-12-01, main language Python  
-<sub><sup>digital-library, elasticsearch, flask, invenio, inveniosoftware, library-management, open-access, open-science, postgresql, python, research-data-management, research-data-repository, scientific-publications, zenodo</sup></sub>
+### [warp-drive](https://github.com/salesforce/warp-drive) by [salesforce](https://github.com/salesforce)  
+warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)  
+[https://github.com/salesforce/warp-drive](https://github.com/salesforce/warp-drive)  
+4.42 stars per week over 79 weeks  
+352 stars, 65 forks, 13 watches  
+[ml](categories/ml.md) category, created 2021-08-25, last commit 2023-01-17, main language Python  
+<sub><sup>cuda, deep-learning, gpu, high-throughput, multiagent-reinforcement-learning, numba, pytorch, reinforcement-learning</sup></sub>
 
 
-### [watermark](https://github.com/rasbt/watermark) by [rasbt](https://github.com/rasbt)  
-watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information  
-[https://github.com/rasbt/watermark](https://github.com/rasbt/watermark)  
-1.71 stars per week over 436 weeks  
-747 stars, 83 forks, 13 watches  
-[util](categories/util.md) category, created 2014-07-30, last commit 2022-09-13, main language Python  
-<sub><sup>ipython, jupyter, magic-extension, python</sup></sub>
+### [AutoTS](https://github.com/winedarksea/autots) by [winedarksea](https://github.com/winedarksea)  
+AutoTS: Automated Time Series Forecasting  
+[https://github.com/winedarksea/autots](https://github.com/winedarksea/autots)  
+3.99 stars per week over 170 weeks  
+681 stars, 65 forks, 14 watches  
+[time-series](categories/time-series.md) category, created 2019-11-26, last commit 2023-02-02, main language Python  
+<sub><sup>automl, autots, deep-learning, feature-engineering, forecasting, machine-learning, preprocessing, time-series</sup></sub>
 
 
-### [pyheat](https://github.com/csurfer/pyheat) by [csurfer](https://github.com/csurfer)  
-pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!  
-[https://github.com/csurfer/pyheat](https://github.com/csurfer/pyheat)  
-2.41 stars per week over 304 weeks  
-734 stars, 41 forks, 13 watches  
-[profiling](categories/profiling.md) category, created 2017-02-04, last commit 2021-09-18, main language Python  
-<sub><sup>heatmap, matplotlib, profiling, python</sup></sub>
+### [language](https://github.com/google-research/language) by [google-research](https://github.com/google-research)  
+language: Shared repository for open-sourced projects from the Google AI Language team.  
+[https://ai.google/research/teams/language/](https://ai.google/research/teams/language/)  
+[https://github.com/google-research/language](https://github.com/google-research/language)  
+5.99 stars per week over 228 weeks  
+1,371 stars, 323 forks, 64 watches  
+[nlp](categories/nlp.md) category, created 2018-10-16, last commit 2023-02-23, main language Python  
+<sub><sup>machine-learning, natural-language-processing, research</sup></sub>
 
 
-### [pymunk](https://github.com/viblo/pymunk) by [viblo](https://github.com/viblo)  
-Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python  
-[http://www.pymunk.org](http://www.pymunk.org)  
-[https://github.com/viblo/pymunk](https://github.com/viblo/pymunk)  
-1.52 stars per week over 479 weeks  
-729 stars, 179 forks, 21 watches  
-[sim](categories/sim.md) category, created 2013-10-02, last commit 2022-12-05, main language Python  
-<sub><sup>library, physics-2d, physics-engine, physics-simulation, pygame, pyglet, python, python-library</sup></sub>
+### [python-progressbar](https://github.com/wolph/python-progressbar) by [wolph](https://github.com/wolph)  
+python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"  
+[http://progressbar-2.readthedocs.org/en/latest/](http://progressbar-2.readthedocs.org/en/latest/)  
+[https://github.com/wolph/python-progressbar](https://github.com/wolph/python-progressbar)  
+1.4 stars per week over 575 weeks  
+806 stars, 95 forks, 22 watches  
+[util](categories/util.md) category, created 2012-02-20, last commit 2023-02-02, main language Python  
+<sub><sup>bar, cli, console, eta, gui, library, percentage, progress, progress-bar, progressbar, python, rate, terminal, time</sup></sub>
 
 
-### [advertools](https://github.com/eliasdabbas/advertools) by [eliasdabbas](https://github.com/eliasdabbas)  
-advertools - online marketing productivity and analysis tools  
-[https://advertools.readthedocs.io](https://advertools.readthedocs.io)  
-[https://github.com/eliasdabbas/advertools](https://github.com/eliasdabbas/advertools)  
-2.5 stars per week over 290 weeks  
-727 stars, 158 forks, 33 watches  
-[data](categories/data.md) category, created 2017-05-14, last commit 2022-11-25, main language Python  
-<sub><sup>advertising, adwords, digital-marketing, google-ads, keywords, log-analysis, logfile-parser, marketing, online-marketing, python, robots-txt, scrapy, search-engine-marketing, search-engine-optimization, seo, seo-crawler, serp, social-media, twitter-api, youtube</sup></sub>
+### [medical-chatgpt](https://github.com/lucidrains/medical-chatgpt) by [lucidrains](https://github.com/lucidrains)  
+medical-chatgpt: Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis  
+[https://github.com/lucidrains/medical-chatgpt](https://github.com/lucidrains/medical-chatgpt)  
+19 stars per week over 12 weeks  
+239 stars, 20 forks, 26 watches  
+[nlp](categories/nlp.md) category, created 2022-12-10, last commit 2023-02-27, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, medicine, transformers</sup></sub>
 
 
-### [lazypredict](https://github.com/shankarpandala/lazypredict) by [shankarpandala](https://github.com/shankarpandala)  
-lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning  
-[https://github.com/shankarpandala/lazypredict](https://github.com/shankarpandala/lazypredict)  
-4.52 stars per week over 159 weeks  
-721 stars, 101 forks, 12 watches  
-[ml](categories/ml.md) category, created 2019-11-16, last commit 2022-09-28, main language Python  
-<sub><sup>automl, classification, machine-learning, regression</sup></sub>
+### [GlobalMLBuildingFootprints](https://github.com/microsoft/globalmlbuildingfootprints) by [microsoft](https://github.com/microsoft)  
+GlobalMLBuildingFootprints: Worldwide building footprints derived from satellite imagery   
+[https://github.com/microsoft/globalmlbuildingfootprints](https://github.com/microsoft/globalmlbuildingfootprints)  
+16 stars per week over 45 weeks  
+754 stars, 94 forks, 31 watches  
+[gis](categories/gis.md) category, created 2022-04-22, last commit 2022-11-16, main language Python  
 
 
-### [lovely-tensors](https://github.com/xl0/lovely-tensors) by [xl0](https://github.com/xl0)  
-lovely-tensors: Tensors, ready for human consumption  
-[https://xl0.github.io/lovely-tensors](https://xl0.github.io/lovely-tensors)  
-[https://github.com/xl0/lovely-tensors](https://github.com/xl0/lovely-tensors)  
-82 stars per week over 8 weeks  
-715 stars, 9 forks, 5 watches  
-[util](categories/util.md) category, created 2022-10-07, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>deep-learning, library, pytorch, statistics, visualization</sup></sub>
+### [pyglove](https://github.com/google/pyglove) by [google](https://github.com/google)  
+pyglove: Manipulating Python Programs  
+[https://github.com/google/pyglove](https://github.com/google/pyglove)  
+5.23 stars per week over 42 weeks  
+222 stars, 8 forks, 7 watches  
+[util](categories/util.md) category, created 2022-05-12, last commit 2023-02-08, main language Python  
+<sub><sup>automl, evolution, machine-learning, manipulation, meta-learning, meta-programming, python, symbolic-programming</sup></sub>
 
 
-### [hamilton](https://github.com/stitchfix/hamilton) by [stitchfix](https://github.com/stitchfix)  
-hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc.  
-[https://hamilton-docs.gitbook.io/docs/](https://hamilton-docs.gitbook.io/docs/)  
-[https://github.com/stitchfix/hamilton](https://github.com/stitchfix/hamilton)  
-5.4 stars per week over 132 weeks  
-713 stars, 35 forks, 21 watches  
-[pandas](categories/pandas.md) category, created 2020-05-26, last commit 2022-12-04, main language Python  
-<sub><sup>dag, data-engineering, data-platform, data-science, dataframe, etl, etl-framework, etl-pipeline, feature-engineering, featurization, hamilton, hamiltonian, machine-learning, numpy, pandas, python, software-engineering, stitch-fix</sup></sub>
+### [pyscript-cli](https://github.com/pyscript/pyscript-cli) by [pyscript](https://github.com/pyscript)  
+pyscript-cli: A CLI for PyScript  
+[https://github.com/pyscript/pyscript-cli](https://github.com/pyscript/pyscript-cli)  
+3.27 stars per week over 44 weeks  
+144 stars, 14 forks, 12 watches  
+[util](categories/util.md) category, created 2022-05-01, last commit 2023-02-25, main language Python  
 
 
-### [whale](https://github.com/hyperqueryhq/whale) by [hyperqueryhq](https://github.com/hyperqueryhq)  
-whale: 🐳 The stupidly simple CLI workspace for your data warehouse.  
-[https://rsyi.gitbook.io/whale](https://rsyi.gitbook.io/whale)  
-[https://github.com/hyperqueryhq/whale](https://github.com/hyperqueryhq/whale)  
-5.39 stars per week over 132 weeks  
-711 stars, 39 forks, 42 watches  
-[data](categories/data.md) category, created 2020-05-27, last commit 2022-10-13, main language Python  
-<sub><sup>data-catalog, data-discovery, data-documentation</sup></sub>
+### [pypy](https://github.com/mozillazg/pypy) by [mozillazg](https://github.com/mozillazg)  
+pypy: The unofficial GitHub mirror of PyPy  
+[https://foss.heptapod.net/pypy/pypy](https://foss.heptapod.net/pypy/pypy)  
+[https://github.com/mozillazg/pypy](https://github.com/mozillazg/pypy)  
+0.93 stars per week over 395 weeks  
+370 stars, 60 forks, 11 watches  
+[util](categories/util.md) category, created 2015-08-03, last commit 2023-03-03, main language Python  
+<sub><sup>github-mirror, pypy, read-only-repository, readonly, unofficial, unofficial-mirror</sup></sub>
 
 
-### [parameterized](https://github.com/wolever/parameterized) by [wolever](https://github.com/wolever)  
-Parameterized testing with any Python test framework  
-[https://github.com/wolever/parameterized](https://github.com/wolever/parameterized)  
-1.26 stars per week over 560 weeks  
-708 stars, 94 forks, 18 watches  
-[testing](categories/testing.md) category, created 2012-03-10, last commit 2021-01-09, main language Python  
+### [flashtext](https://github.com/vi3k6i5/flashtext) by [vi3k6i5](https://github.com/vi3k6i5)  
+flashtext: Extract Keywords from sentence or Replace keywords in sentences.  
+[https://github.com/vi3k6i5/flashtext](https://github.com/vi3k6i5/flashtext)  
+18 stars per week over 289 weeks  
+5,362 stars, 599 forks, 139 watches  
+[data](categories/data.md) category, created 2017-08-15, last commit 2020-05-03, main language Python  
+<sub><sup>data-extraction, keyword-extraction, nlp, search-in-text, word2vec</sup></sub>
 
 
-### [natsort](https://github.com/sethmmorton/natsort) by [sethmmorton](https://github.com/sethmmorton)  
-natsort: Simple yet flexible natural sorting in Python.  
-[https://pypi.org/project/natsort/](https://pypi.org/project/natsort/)  
-[https://github.com/sethmmorton/natsort](https://github.com/sethmmorton/natsort)  
-1.28 stars per week over 552 weeks  
-706 stars, 40 forks, 14 watches  
-[util](categories/util.md) category, created 2012-05-03, last commit 2022-09-01, main language Python  
-<sub><sup>natsort, natural-sort, python, sorting, sorting-interface</sup></sub>
+### [momepy](https://github.com/pysal/momepy) by [pysal](https://github.com/pysal)  
+momepy: Urban Morphology Measuring Toolkit  
+[https://docs.momepy.org](https://docs.momepy.org)  
+[https://github.com/pysal/momepy](https://github.com/pysal/momepy)  
+1.41 stars per week over 257 weeks  
+364 stars, 48 forks, 16 watches  
+[gis](categories/gis.md) category, created 2018-03-30, last commit 2023-02-28, main language Python  
+<sub><sup>morphological-analysis, morphology, morphometrics, urban, urban-morphometrics, urban-street-networks</sup></sub>
 
 
-### [ipyvizzu](https://github.com/vizzuhq/ipyvizzu) by [vizzuhq](https://github.com/vizzuhq)  
-ipyvizzu: Build animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.  
-[https://ipyvizzu.vizzuhq.com](https://ipyvizzu.vizzuhq.com)  
-[https://github.com/vizzuhq/ipyvizzu](https://github.com/vizzuhq/ipyvizzu)  
-14 stars per week over 48 weeks  
-706 stars, 56 forks, 14 watches  
-[jupyter](categories/jupyter.md) category, created 2022-01-05, last commit 2022-12-06, main language Python  
-<sub><sup>animation, chart, charting, charts, data-visualization, dataviz, graphing, graphs, ipython, jupyter, jupyter-notebook, plotting, python, storytelling, vizzu</sup></sub>
+### [blessed](https://github.com/jquast/blessed) by [jquast](https://github.com/jquast)  
+Blessed is an easy, practical library for making python terminal apps  
+[http://pypi.python.org/pypi/blessed](http://pypi.python.org/pypi/blessed)  
+[https://github.com/jquast/blessed](https://github.com/jquast/blessed)  
+1.9 stars per week over 470 weeks  
+893 stars, 68 forks, 23 watches  
+[term](categories/term.md) category, created 2014-03-01, last commit 2023-02-04, main language Python  
+<sub><sup>cli, curses, terminal</sup></sub>
 
 
-### [mpmath](https://github.com/fredrik-johansson/mpmath) by [fredrik-johansson](https://github.com/fredrik-johansson)  
-mpmath: Python library for arbitrary-precision floating-point arithmetic  
-[http://mpmath.org](http://mpmath.org)  
-[https://github.com/fredrik-johansson/mpmath](https://github.com/fredrik-johansson/mpmath)  
-1.22 stars per week over 574 weeks  
-702 stars, 148 forks, 39 watches  
-[math](categories/math.md) category, created 2011-12-07, last commit 2022-11-07, main language Python  
-<sub><sup>arbitrary-precision, complex-numbers, floating-point, multiprecision, numerical-integration, numerical-methods, numerical-optimization, ordinary-differential-equations, plotting, python, special-functions</sup></sub>
+### [espresso](https://github.com/espressomd/espresso) by [espressomd](https://github.com/espressomd)  
+espresso: The ESPResSo package  
+[https://espressomd.org](https://espressomd.org)  
+[https://github.com/espressomd/espresso](https://github.com/espressomd/espresso)  
+0.29 stars per week over 623 weeks  
+181 stars, 170 forks, 20 watches  
+[sim](categories/sim.md) category, created 2011-03-25, last commit 2023-03-02, main language C++  
+<sub><sup>c-plus-plus, lattice-boltzmann, molecular-dynamics, physics, python, scientific-computing, soft-matter</sup></sub>
 
 
-### [basemap](https://github.com/matplotlib/basemap) by [matplotlib](https://github.com/matplotlib)  
-basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib  
-[https://github.com/matplotlib/basemap](https://github.com/matplotlib/basemap)  
-1.14 stars per week over 615 weeks  
-701 stars, 395 forks, 60 watches  
-[gis](categories/gis.md) category, created 2011-02-19, last commit 2022-11-29, main language Python  
-<sub><sup>gis, maps, plots</sup></sub>
+### [ffn](https://github.com/pmorissette/ffn) by [pmorissette](https://github.com/pmorissette)  
+ffn - a financial function library for Python  
+[pmorissette.github.io/ffn](pmorissette.github.io/ffn)  
+[https://github.com/pmorissette/ffn](https://github.com/pmorissette/ffn)  
+3.17 stars per week over 454 weeks  
+1,441 stars, 254 forks, 59 watches  
+[finance](categories/finance.md) category, created 2014-06-19, last commit 2022-12-21, main language Python  
 
 
-### [filprofiler](https://github.com/pythonspeed/filprofiler) by [pythonspeed](https://github.com/pythonspeed)  
-filprofiler: A Python memory profiler for data processing and scientific computing applications  
-[https://pythonspeed.com/products/filmemoryprofiler/](https://pythonspeed.com/products/filmemoryprofiler/)  
-[https://github.com/pythonspeed/filprofiler](https://github.com/pythonspeed/filprofiler)  
-5.35 stars per week over 128 weeks  
-690 stars, 20 forks, 8 watches  
-[profiling](categories/profiling.md) category, created 2020-06-18, last commit 2022-12-05, main language Rust  
-<sub><sup>memory, memory-, memory-leak, memory-leak-detection, memory-leak-finder, memory-leaks, memory-profiler, memory-profiling, python</sup></sub>
+### [FastTreeSHAP](https://github.com/linkedin/fasttreeshap) by [linkedin](https://github.com/linkedin)  
+FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models  
+[https://github.com/linkedin/fasttreeshap](https://github.com/linkedin/fasttreeshap)  
+6.64 stars per week over 57 weeks  
+384 stars, 23 forks, 7 watches  
+[ml](categories/ml.md) category, created 2022-01-24, last commit 2022-11-29, main language Python  
+<sub><sup>explainable-ai, interpretability, lightgbm, machine-learning, random-forest, shap, xgboost</sup></sub>
 
 
-### [pip-audit](https://github.com/trailofbits/pip-audit) by [trailofbits](https://github.com/trailofbits)  
-pip-audit: Audits Python environments and dependency trees for known vulnerabilities  
-[https://pypi.org/project/pip-audit/](https://pypi.org/project/pip-audit/)  
-[https://github.com/trailofbits/pip-audit](https://github.com/trailofbits/pip-audit)  
-10 stars per week over 65 weeks  
-686 stars, 39 forks, 19 watches  
-[security](categories/security.md) category, created 2021-09-02, last commit 2022-12-01, main language Python  
-<sub><sup>pip, python, security, security-audit, supply-chain</sup></sub>
+### [python-blosc](https://github.com/blosc/python-blosc) by [blosc](https://github.com/blosc)  
+python-blosc: A Python wrapper for the extremely fast Blosc compression library   
+[https://www.blosc.org/python-blosc/python-blosc.html](https://www.blosc.org/python-blosc/python-blosc.html)  
+[https://github.com/blosc/python-blosc](https://github.com/blosc/python-blosc)  
+0.51 stars per week over 648 weeks  
+329 stars, 75 forks, 14 watches  
+[perf](categories/perf.md) category, created 2010-09-30, last commit 2023-03-02, main language Python  
+<sub><sup>blosc, compression, python, wrapper</sup></sub>
 
 
-### [mordecai](https://github.com/openeventdata/mordecai) by [openeventdata](https://github.com/openeventdata)  
-mordecai: Full text geoparsing as a Python library  
-[https://github.com/openeventdata/mordecai](https://github.com/openeventdata/mordecai)  
-2.03 stars per week over 336 weeks  
-685 stars, 94 forks, 35 watches  
-[gis](categories/gis.md) category, created 2016-06-23, last commit 2021-02-01, main language Python  
-<sub><sup>geocoding, geonames, geoparsing, nlp, spacy, toponym-resolution</sup></sub>
+### [python-lambda](https://github.com/nficano/python-lambda) by [nficano](https://github.com/nficano)  
+python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda.   
+[https://github.com/nficano/python-lambda](https://github.com/nficano/python-lambda)  
+3.89 stars per week over 366 weeks  
+1,425 stars, 229 forks, 32 watches  
+[util](categories/util.md) category, created 2016-02-26, last commit 2022-06-03, main language Python  
+<sub><sup>aws, aws-lambda, microservices, python, serverless</sup></sub>
 
 
-### [hvplot](https://github.com/holoviz/hvplot) by [holoviz](https://github.com/holoviz)  
-hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews  
-[https://hvplot.holoviz.org](https://hvplot.holoviz.org)  
-[https://github.com/holoviz/hvplot](https://github.com/holoviz/hvplot)  
-2.77 stars per week over 246 weeks  
-682 stars, 77 forks, 23 watches  
-[pandas](categories/pandas.md) category, created 2018-03-19, last commit 2022-12-01, main language Python  
-<sub><sup>datashader, holoviews, holoviz, plotting</sup></sub>
+### [BookCode_Edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1) by [bayesianmodelingandcomputationinpython](https://github.com/bayesianmodelingandcomputationinpython)  
+bayesianmodelingandcomputationinpython/bookcode_edition1  
+[https://www.bayesiancomputationbook.com](https://www.bayesiancomputationbook.com)  
+[https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1)  
+4.73 stars per week over 80 weeks  
+382 stars, 93 forks, 18 watches  
+[study](categories/study.md) category, created 2021-08-17, last commit 2023-01-09, main language Jupyter Notebook  
 
 
-### [data-validation](https://github.com/tensorflow/data-validation) by [tensorflow](https://github.com/tensorflow)  
-data-validation: Library for exploring and validating machine learning data  
-[https://github.com/tensorflow/data-validation](https://github.com/tensorflow/data-validation)  
-2.95 stars per week over 231 weeks  
-682 stars, 142 forks, 47 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-07-02, last commit 2022-12-06, main language Python  
+### [felicette](https://github.com/plant99/felicette) by [plant99](https://github.com/plant99)  
+felicette: Satellite imagery for dummies.  
+[https://github.com/plant99/felicette](https://github.com/plant99/felicette)  
+13 stars per week over 138 weeks  
+1,796 stars, 85 forks, 39 watches  
+[gis](categories/gis.md) category, created 2020-07-12, last commit 2021-09-08, main language Python  
+<sub><sup>earth-observation, earth-science, geoinformatics, geospatial, geospatial-data, geospatial-visualization, gis, python, python3, satellite-data, satellite-imagery, satellite-images</sup></sub>
 
 
-### [landsat-util](https://github.com/developmentseed/landsat-util) by [developmentseed](https://github.com/developmentseed)  
-landsat-util: A utility to search, download and process Landsat 8 satellite imagery  
-[https://github.com/developmentseed/landsat-util](https://github.com/developmentseed/landsat-util)  
-1.56 stars per week over 435 weeks  
-681 stars, 155 forks, 125 watches  
-[gis](categories/gis.md) category, created 2014-08-01, last commit 2018-07-30, main language Python  
+### [qgrid](https://github.com/quantopian/qgrid) by [quantopian](https://github.com/quantopian)  
+qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks  
+[https://github.com/quantopian/qgrid](https://github.com/quantopian/qgrid)  
+6.7 stars per week over 439 weeks  
+2,946 stars, 419 forks, 88 watches  
+[jupyter](categories/jupyter.md) category, created 2014-09-30, last commit 2020-04-07, main language Python  
 
 
-### [py-frameworks-bench](https://github.com/klen/py-frameworks-bench) by [klen](https://github.com/klen)  
-py-frameworks-bench: Another benchmark for some python frameworks  
-[https://klen.github.io/py-frameworks-bench/](https://klen.github.io/py-frameworks-bench/)  
-[https://github.com/klen/py-frameworks-bench](https://github.com/klen/py-frameworks-bench)  
-1.69 stars per week over 396 weeks  
-670 stars, 78 forks, 28 watches  
-[perf](categories/perf.md) category, created 2015-04-30, last commit 2022-03-14, main language Python  
-<sub><sup>benchmark, python-frameworks</sup></sub>
+### [arch](https://github.com/bashtage/arch) by [bashtage](https://github.com/bashtage)  
+ARCH models in Python  
+[https://github.com/bashtage/arch](https://github.com/bashtage/arch)  
+2.41 stars per week over 444 weeks  
+1,072 stars, 229 forks, 42 watches  
+[time-series](categories/time-series.md) category, created 2014-08-29, last commit 2022-11-10, main language Python  
+<sub><sup>adf, arch, bootstrap, df-gls, dickey-fuller, finance, financial-econometrics, forecasting, model-confidence-set, multiple-comparison-procedures, phillips-perron, reality-check, risk, spa, time-series, unit-root, variance, volatility</sup></sub>
 
 
-### [spacy-stanza](https://github.com/explosion/spacy-stanza) by [explosion](https://github.com/explosion)  
-spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy  
-[https://github.com/explosion/spacy-stanza](https://github.com/explosion/spacy-stanza)  
-3.29 stars per week over 200 weeks  
-661 stars, 50 forks, 25 watches  
-[nlp](categories/nlp.md) category, created 2019-01-31, last commit 2022-05-27, main language Python  
-<sub><sup>corenlp, data-science, machine-learning, natural-language-processing, nlp, spacy, spacy-pipeline, stanford-corenlp, stanford-machine-learning, stanford-nlp, stanza</sup></sub>
+### [gin-config](https://github.com/google/gin-config) by [google](https://github.com/google)  
+gin-config: Gin provides a lightweight configuration framework for Python  
+[https://github.com/google/gin-config](https://github.com/google/gin-config)  
+7.23 stars per week over 244 weeks  
+1,768 stars, 113 forks, 24 watches  
+[util](categories/util.md) category, created 2018-06-27, last commit 2022-12-05, main language Python  
+<sub><sup>configuration-management, python, tensorflow, tensorflow-experiments</sup></sub>
 
 
-### [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) by [sentinel-hub](https://github.com/sentinel-hub)  
-sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.  
-[http://sentinelhub-py.readthedocs.io/en/latest/](http://sentinelhub-py.readthedocs.io/en/latest/)  
-[https://github.com/sentinel-hub/sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py)  
-2.26 stars per week over 290 weeks  
-654 stars, 211 forks, 49 watches  
-[gis](categories/gis.md) category, created 2017-05-17, last commit 2022-10-06, main language Python  
-<sub><sup>aws, ogc-services, python-library, satellite-imagery, sentinel-hub</sup></sub>
+### [pynacl](https://github.com/pyca/pynacl) by [pyca](https://github.com/pyca)  
+pynacl: Python binding to the Networking and Cryptography (NaCl) library  
+[https://pynacl.readthedocs.io/](https://pynacl.readthedocs.io/)  
+[https://github.com/pyca/pynacl](https://github.com/pyca/pynacl)  
+1.81 stars per week over 523 weeks  
+945 stars, 220 forks, 27 watches  
+[util](categories/util.md) category, created 2013-02-22, last commit 2023-01-19, main language C  
+<sub><sup>cryptography, libsodium, nacl, python</sup></sub>
 
 
-### [TabPFN](https://github.com/automl/tabpfn) by [automl](https://github.com/automl)  
-TabPFN: Official implementation of the TabPFN and the tabpfn package.  
-[https://arxiv.org/abs/2207.01848](https://arxiv.org/abs/2207.01848)  
-[https://github.com/automl/tabpfn](https://github.com/automl/tabpfn)  
-28 stars per week over 22 weeks  
-644 stars, 44 forks, 16 watches  
-[ml](categories/ml.md) category, created 2022-07-01, last commit 2022-11-17, main language Python  
+### [MEDIUM_NoteBook](https://github.com/cerlymarco/medium_notebook) by [cerlymarco](https://github.com/cerlymarco)  
+MEDIUM_NoteBook: Repository containing notebooks of my posts on Medium  
+[https://github.com/cerlymarco/medium_notebook](https://github.com/cerlymarco/medium_notebook)  
+8.61 stars per week over 201 weeks  
+1,738 stars, 910 forks, 97 watches  
+[study](categories/study.md) category, created 2019-04-22, last commit 2023-02-22, main language Jupyter Notebook  
+<sub><sup>artificial-intelligence, data-science, deep-learning, machine-learning, notebooks</sup></sub>
 
 
-### [AutoTS](https://github.com/winedarksea/autots) by [winedarksea](https://github.com/winedarksea)  
-AutoTS: Automated Time Series Forecasting  
-[https://github.com/winedarksea/autots](https://github.com/winedarksea/autots)  
-4.03 stars per week over 158 weeks  
-638 stars, 58 forks, 13 watches  
-[time-series](categories/time-series.md) category, created 2019-11-26, last commit 2022-11-15, main language Python  
-<sub><sup>automl, autots, deep-learning, feature-engineering, forecasting, machine-learning, preprocessing, time-series</sup></sub>
+### [autotyping](https://github.com/jellezijlstra/autotyping) by [jellezijlstra](https://github.com/jellezijlstra)  
+jellezijlstra/autotyping  
+[https://github.com/jellezijlstra/autotyping](https://github.com/jellezijlstra/autotyping)  
+1.43 stars per week over 88 weeks  
+126 stars, 9 forks, 4 watches  
+[typing](categories/typing.md) category, created 2021-06-25, last commit 2023-03-03, main language Python  
 
 
-### [xarray-spatial](https://github.com/makepath/xarray-spatial) by [makepath](https://github.com/makepath)  
-xarray-spatial: Raster-based Spatial Analytics for Python  
-[https://xarray-spatial.org](https://xarray-spatial.org)  
-[https://github.com/makepath/xarray-spatial](https://github.com/makepath/xarray-spatial)  
-4.32 stars per week over 147 weeks  
-638 stars, 73 forks, 25 watches  
-[gis](categories/gis.md) category, created 2020-02-08, last commit 2022-06-22, main language Python  
-<sub><sup>datashader, numba, python, raster-analysis, spatial-analysis, xarray</sup></sub>
+### [Auto_TS](https://github.com/autoviml/auto_ts) by [autoviml](https://github.com/autoviml)  
+Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.  
+[https://github.com/autoviml/auto_ts](https://github.com/autoviml/auto_ts)  
+3.46 stars per week over 159 weeks  
+550 stars, 97 forks, 17 watches  
+[time-series](categories/time-series.md) category, created 2020-02-15, last commit 2023-02-22, main language Jupyter Notebook  
+<sub><sup>arima, auto-arima, auto-sklearn, auto-timeseries, autokeras, automl, autosklearn, prophet, python, python3, sklearn, time-series, time-series-analysis, tpot</sup></sub>
 
 
-### [holoviz](https://github.com/holoviz/holoviz)  
-holoviz: High-level tools to simplify visualization in Python.  
-[https://holoviz.org/](https://holoviz.org/)  
-[https://github.com/holoviz/holoviz](https://github.com/holoviz/holoviz)  
-2.34 stars per week over 271 weeks  
-635 stars, 114 forks, 35 watches  
-[viz](categories/viz.md) category, created 2017-09-22, last commit 2022-12-07, main language Python  
-<sub><sup>colorcet, datashader, geoviews, holoviews, holoviz, hvplot, panel</sup></sub>
+### [weather-tools](https://github.com/google/weather-tools) by [google](https://github.com/google)  
+weather-tools: Apache Beam pipelines to make weather data accessible and useful.  
+[https://weather-tools.readthedocs.io/](https://weather-tools.readthedocs.io/)  
+[https://github.com/google/weather-tools](https://github.com/google/weather-tools)  
+1.9 stars per week over 66 weeks  
+127 stars, 27 forks, 15 watches  
+[data](categories/data.md) category, created 2021-11-22, last commit 2023-02-22, main language Python  
+<sub><sup>apache-beam, python, weather</sup></sub>
 
 
-### [nbQA](https://github.com/nbqa-dev/nbqa) by [nbqa-dev](https://github.com/nbqa-dev)  
-nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks  
-[https://nbqa.readthedocs.io/en/latest/index.html](https://nbqa.readthedocs.io/en/latest/index.html)  
-[https://github.com/nbqa-dev/nbqa](https://github.com/nbqa-dev/nbqa)  
-5.05 stars per week over 125 weeks  
-634 stars, 36 forks, 6 watches  
-[jupyter](categories/jupyter.md) category, created 2020-07-11, last commit 2022-11-21, main language Python  
-<sub><sup>black, codequality, doctest, flake8, isort, jupyter-notebook, lint, mypy, pre-commit, pre-commit-hook, pylint, python, pyupgrade, yapf</sup></sub>
+### [hypertools](https://github.com/contextlab/hypertools) by [contextlab](https://github.com/contextlab)  
+hypertools: A Python toolbox for gaining geometric insights into high-dimensional data  
+[http://hypertools.readthedocs.io/en/latest/](http://hypertools.readthedocs.io/en/latest/)  
+[https://github.com/contextlab/hypertools](https://github.com/contextlab/hypertools)  
+5.26 stars per week over 335 weeks  
+1,766 stars, 160 forks, 60 watches  
+[ml](categories/ml.md) category, created 2016-09-27, last commit 2022-02-12, main language Python  
+<sub><sup>data-visualization, data-wrangling, high-dimensional-data, python, text-vectorization, time-series, topic-modeling, visualization</sup></sub>
 
 
-### [python-devtools](https://github.com/samuelcolvin/python-devtools) by [samuelcolvin](https://github.com/samuelcolvin)  
-python-devtools: Dev tools for python  
-[https://python-devtools.helpmanual.io/](https://python-devtools.helpmanual.io/)  
-[https://github.com/samuelcolvin/python-devtools](https://github.com/samuelcolvin/python-devtools)  
-2.27 stars per week over 276 weeks  
-627 stars, 31 forks, 8 watches  
-[util](categories/util.md) category, created 2017-08-20, last commit 2022-11-28, main language Python  
-<sub><sup>devtools, python, python-devtools</sup></sub>
+### [long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion) by [sharonzhou](https://github.com/sharonzhou)  
+long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)  
+[https://github.com/sharonzhou/long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion)  
+23 stars per week over 26 weeks  
+598 stars, 48 forks, 14 watches  
+[diffusion](categories/diffusion.md) category, created 2022-09-04, last commit 2022-10-30, main language Python  
 
 
-### [awkward](https://github.com/scikit-hep/awkward-1.0) by [scikit-hep](https://github.com/scikit-hep)  
-awkward: Manipulate JSON-like data with NumPy-like idioms.  
-[https://awkward-array.org](https://awkward-array.org)  
-[https://github.com/scikit-hep/awkward-1.0](https://github.com/scikit-hep/awkward-1.0)  
-3.61 stars per week over 173 weeks  
-625 stars, 63 forks, 17 watches  
-[data](categories/data.md) category, created 2019-08-14, last commit 2022-12-06, main language Python  
-<sub><sup>apache-arrow, cern-root, columnar-format, data-analysis, jagged-array, json, numba, numpy, pandas, python, ragged-array, scikit-hep</sup></sub>
+### [reclist](https://github.com/jacopotagliabue/reclist) by [jacopotagliabue](https://github.com/jacopotagliabue)  
+reclist: Behavioral "black-box" testing for recommender systems  
+[https://github.com/jacopotagliabue/reclist](https://github.com/jacopotagliabue/reclist)  
+5.65 stars per week over 68 weeks  
+389 stars, 21 forks, 9 watches  
+[ml](categories/ml.md) category, created 2021-11-08, last commit 2023-01-26, main language Python  
+<sub><sup>machine-learning, qa-automation, recommender-system</sup></sub>
 
 
-### [fastparquet](https://github.com/dask/fastparquet) by [dask](https://github.com/dask)  
-fastparquet: python implementation of the parquet columnar file format.  
-[https://github.com/dask/fastparquet](https://github.com/dask/fastparquet)  
-1.69 stars per week over 369 weeks  
-623 stars, 161 forks, 18 watches  
-[data](categories/data.md) category, created 2015-11-06, last commit 2022-12-05, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [QuantLib-SWIG](https://github.com/lballabio/quantlib-swig) by [lballabio](https://github.com/lballabio)  
+QuantLib-SWIG: QuantLib wrappers to other languages  
+[https://github.com/lballabio/quantlib-swig](https://github.com/lballabio/quantlib-swig)  
+0.73 stars per week over 376 weeks  
+275 stars, 262 forks, 38 watches  
+[finance](categories/finance.md) category, created 2015-12-17, last commit 2023-01-30, main language SWIG  
+<sub><sup>quantitative-finance</sup></sub>
 
 
-### [muffin](https://github.com/klen/muffin) by [klen](https://github.com/klen)  
-Muffin is a fast, simple and asyncronous web-framework for Python 3  
-[https://github.com/klen/muffin](https://github.com/klen/muffin)  
-1.52 stars per week over 409 weeks  
-621 stars, 25 forks, 31 watches  
-[web](categories/web.md) category, created 2015-02-03, last commit 2022-08-12, main language Python  
-<sub><sup>asgi, asyncio, curio, muffin, python, trio, webframework</sup></sub>
+### [alphalens](https://github.com/quantopian/alphalens) by [quantopian](https://github.com/quantopian)  
+alphalens: Performance analysis of predictive (alpha) stock factors  
+[http://quantopian.github.io/alphalens](http://quantopian.github.io/alphalens)  
+[https://github.com/quantopian/alphalens](https://github.com/quantopian/alphalens)  
+7.28 stars per week over 352 weeks  
+2,565 stars, 982 forks, 163 watches  
+[finance](categories/finance.md) category, created 2016-06-03, last commit 2020-04-27, main language Jupyter Notebook  
+<sub><sup>algorithmic-trading, finance, jupyter, numpy, pandas, python</sup></sub>
 
 
-### [s3fs](https://github.com/fsspec/s3fs) by [fsspec](https://github.com/fsspec)  
-s3fs: S3 Filesystem   
-[http://s3fs.readthedocs.io/en/latest/](http://s3fs.readthedocs.io/en/latest/)  
-[https://github.com/fsspec/s3fs](https://github.com/fsspec/s3fs)  
-1.75 stars per week over 351 weeks  
-615 stars, 207 forks, 21 watches  
-[util](categories/util.md) category, created 2016-03-16, last commit 2022-12-06, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [yappi](https://github.com/sumerc/yappi) by [sumerc](https://github.com/sumerc)  
+yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.  
+[https://github.com/sumerc/yappi](https://github.com/sumerc/yappi)  
+1.54 stars per week over 699 weeks  
+1,078 stars, 58 forks, 13 watches  
+[profiling](categories/profiling.md) category, created 2009-10-07, last commit 2022-11-25, main language Python  
+<sub><sup>asgi, asynchronous, asyncio, coroutine, cpu, gevent, greenlet, multi-threaded-applications, multithreading, performance, profile, profilers, python, thread</sup></sub>
 
 
-### [human-learn](https://github.com/koaning/human-learn) by [koaning](https://github.com/koaning)  
-human-learn: Natural Intelligence is still a pretty good idea.  
-[https://koaning.github.io/human-learn/](https://koaning.github.io/human-learn/)  
-[https://github.com/koaning/human-learn](https://github.com/koaning/human-learn)  
-4.87 stars per week over 125 weeks  
-612 stars, 51 forks, 13 watches  
-[data](categories/data.md) category, created 2020-07-11, last commit 2021-10-05, main language Jupyter Notebook  
-<sub><sup>benchmark, machine-learning, scikit-learn</sup></sub>
+### [orator](https://github.com/sdispater/orator) by [sdispater](https://github.com/sdispater)  
+orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.  
+[https://orator-orm.com](https://orator-orm.com)  
+[https://github.com/sdispater/orator](https://github.com/sdispater/orator)  
+3.42 stars per week over 406 weeks  
+1,387 stars, 164 forks, 46 watches  
+[data](categories/data.md) category, created 2015-05-24, last commit 2022-03-13, main language Python  
+<sub><sup>database, orm, python</sup></sub>
 
 
-### [quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook) by [jackhidary](https://github.com/jackhidary)  
-quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach  
-[https://github.com/jackhidary/quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook)  
-3.1 stars per week over 196 weeks  
-611 stars, 186 forks, 54 watches  
-[study](categories/study.md) category, created 2019-02-28, last commit 2021-10-14, main language Jupyter Notebook  
-<sub><sup>cirq, google-quantum, qiskit, quantum, quantum-computing, quantum-information, quantum-information-science, quantum-processor, quantum-supremacy, rigetti, sycamore</sup></sub>
+### [tfcausalimpact](https://github.com/willianfuks/tfcausalimpact) by [willianfuks](https://github.com/willianfuks)  
+tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.  
+[https://github.com/willianfuks/tfcausalimpact](https://github.com/willianfuks/tfcausalimpact)  
+2.95 stars per week over 132 weeks  
+392 stars, 54 forks, 10 watches  
+[math](categories/math.md) category, created 2020-08-17, last commit 2022-12-20, main language Python  
+<sub><sup>causal-inference, causalimpact, python, tensorflow-probability</sup></sub>
 
 
-### [spacy-streamlit](https://github.com/explosion/spacy-streamlit) by [explosion](https://github.com/explosion)  
-spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps  
-[https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py](https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py)  
-[https://github.com/explosion/spacy-streamlit](https://github.com/explosion/spacy-streamlit)  
-4.72 stars per week over 128 weeks  
-605 stars, 102 forks, 17 watches  
-[nlp](categories/nlp.md) category, created 2020-06-23, last commit 2022-08-23, main language Python  
-<sub><sup>dependency-parsing, machine-learning, named-entity-recognition, natural-language-processing, ner, nlp, part-of-speech-tagging, spacy, streamlit, text-classification, tokenization, visualizer, visualizers, word-vectors</sup></sub>
+### [cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings) by [cgal](https://github.com/cgal)  
+cgal-swig-bindings: CGAL bindings using SWIG  
+[https://github.com/cgal/cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings)  
+0.64 stars per week over 416 weeks  
+266 stars, 80 forks, 26 watches  
+[gis](categories/gis.md) category, created 2015-03-14, last commit 2023-03-01, main language C++  
 
 
-### [algo-trader](https://github.com/idanya/algo-trader) by [idanya](https://github.com/idanya)  
-algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.  
-[https://github.com/idanya/algo-trader](https://github.com/idanya/algo-trader)  
-9.42 stars per week over 64 weeks  
-604 stars, 55 forks, 21 watches  
-[util](categories/util.md) category, created 2021-09-14, last commit 2022-11-29, main language Python  
-<sub><sup>algorithmic-trading, backtesting, crypto-bot, python, technical-analysis, trading-bot, trading-strategies</sup></sub>
+### [P-tuning-v2](https://github.com/thudm/p-tuning-v2) by [thudm](https://github.com/thudm)  
+P-tuning-v2: An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks  
+[https://github.com/thudm/p-tuning-v2](https://github.com/thudm/p-tuning-v2)  
+8.21 stars per week over 72 weeks  
+595 stars, 72 forks, 26 watches  
+[nlp](categories/nlp.md) category, created 2021-10-14, last commit 2022-11-04, main language Python  
+<sub><sup>natural-language-processing, p-tuning, parameter-efficient-learning, pretrained-language-model, prompt-tuning</sup></sub>
 
 
-### [h3-py](https://github.com/uber/h3-py) by [uber](https://github.com/uber)  
-h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system  
-[https://uber.github.io/h3-py](https://uber.github.io/h3-py)  
-[https://github.com/uber/h3-py](https://github.com/uber/h3-py)  
-2.53 stars per week over 234 weeks  
-593 stars, 112 forks, 34 watches  
-[gis](categories/gis.md) category, created 2018-06-12, last commit 2022-11-24, main language Python  
-<sub><sup>geocoding, geospatial, gis, h3, hexagonal-architecture, python, uber</sup></sub>
+### [bt](https://github.com/pmorissette/bt) by [pmorissette](https://github.com/pmorissette)  
+bt - flexible backtesting for Python  
+[http://pmorissette.github.io/bt](http://pmorissette.github.io/bt)  
+[https://github.com/pmorissette/bt](https://github.com/pmorissette/bt)  
+3.51 stars per week over 454 weeks  
+1,593 stars, 357 forks, 79 watches  
+[finance](categories/finance.md) category, created 2014-06-19, last commit 2022-11-22, main language Python  
 
 
-### [arxiv.py](https://github.com/lukasschwab/arxiv.py) by [lukasschwab](https://github.com/lukasschwab)  
-arxiv.py: Python wrapper for the arXiv API  
-[https://github.com/lukasschwab/arxiv.py](https://github.com/lukasschwab/arxiv.py)  
-1.59 stars per week over 367 weeks  
-583 stars, 76 forks, 16 watches  
-[util](categories/util.md) category, created 2015-11-25, last commit 2022-09-12, main language Python  
-<sub><sup>arxiv, arxiv-api, pdf, python-wrapper</sup></sub>
+### [pygeos](https://github.com/pygeos/pygeos)  
+pygeos: Wraps GEOS geometry functions in numpy ufuncs.  
+[https://pygeos.readthedocs.io](https://pygeos.readthedocs.io)  
+[https://github.com/pygeos/pygeos](https://github.com/pygeos/pygeos)  
+1.85 stars per week over 194 weeks  
+361 stars, 40 forks, 15 watches  
+[gis](categories/gis.md) category, created 2019-06-10, last commit 2022-12-14, main language Python  
 
 
-### [pyvis](https://github.com/westhealth/pyvis) by [westhealth](https://github.com/westhealth)  
-pyvis: Python package for creating and visualizing interactive network graphs.  
-[http://pyvis.readthedocs.io/en/latest/](http://pyvis.readthedocs.io/en/latest/)  
-[https://github.com/westhealth/pyvis](https://github.com/westhealth/pyvis)  
-2.42 stars per week over 238 weeks  
-577 stars, 109 forks, 13 watches  
-[graph](categories/graph.md) category, created 2018-05-10, last commit 2022-11-04, main language HTML  
-<sub><sup>network-visualization, networkx, python</sup></sub>
+### [sql-metadata](https://github.com/macbre/sql-metadata) by [macbre](https://github.com/macbre)  
+sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata  
+[https://pypi.python.org/pypi/sql-metadata](https://pypi.python.org/pypi/sql-metadata)  
+[https://github.com/macbre/sql-metadata](https://github.com/macbre/sql-metadata)  
+1.7 stars per week over 299 weeks  
+510 stars, 87 forks, 15 watches  
+[data](categories/data.md) category, created 2017-06-06, last commit 2023-02-16, main language Python  
+<sub><sup>database, hive, hiveql, metadata, mysql-query, parser, python-package, python3-library, sql, sql-parser, sqlparse</sup></sub>
 
 
-### [Blackstone](https://github.com/iclrandd/blackstone) by [iclrandd](https://github.com/iclrandd)  
-Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.  
-[https://research.iclr.co.uk](https://research.iclr.co.uk)  
-[https://github.com/iclrandd/blackstone](https://github.com/iclrandd/blackstone)  
-2.96 stars per week over 193 weeks  
-573 stars, 93 forks, 37 watches  
-[nlp](categories/nlp.md) category, created 2019-03-25, last commit 2021-01-31, main language Python  
-<sub><sup>caselaw, law, legaltech, nlp, spacy-models</sup></sub>
+### [pycoingecko](https://github.com/man-c/pycoingecko) by [man-c](https://github.com/man-c)  
+pycoingecko: Python wrapper for the CoinGecko API  
+[https://github.com/man-c/pycoingecko](https://github.com/man-c/pycoingecko)  
+4.09 stars per week over 236 weeks  
+966 stars, 259 forks, 33 watches  
+[crypto](categories/crypto.md) category, created 2018-08-24, last commit 2022-10-26, main language Python  
+<sub><sup>api, api-wrapper, coingecko, crypto, cryptocurrency, nft, nfts, python, python3, wrapper</sup></sub>
 
 
-### [scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
-scikit-mobility: mobility analysis in Python  
-[https://scikit-mobility.github.io/scikit-mobility/](https://scikit-mobility.github.io/scikit-mobility/)  
-[https://github.com/scikit-mobility/scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
-3.03 stars per week over 188 weeks  
-571 stars, 130 forks, 29 watches  
-[gis](categories/gis.md) category, created 2019-04-30, last commit 2022-06-13, main language Python  
-<sub><sup>complex-systems, data-analysis, data-science, human-mobility, mobility-analysis, mobility-flows, network-science, risk-assessment, scikit-mobility, statistics, synthetic-flows</sup></sub>
+### [pyogrio](https://github.com/geopandas/pyogrio) by [geopandas](https://github.com/geopandas)  
+pyogrio: Vectorized vector I/O using OGR  
+[https://pyogrio.readthedocs.io](https://pyogrio.readthedocs.io)  
+[https://github.com/geopandas/pyogrio](https://github.com/geopandas/pyogrio)  
+0.91 stars per week over 153 weeks  
+139 stars, 10 forks, 9 watches  
+[gis](categories/gis.md) category, created 2020-03-27, last commit 2023-02-08, main language Python  
 
 
-### [cattrs](https://github.com/python-attrs/cattrs) by [python-attrs](https://github.com/python-attrs)  
-cattrs: Complex custom class converters for attrs.  
-[https://github.com/python-attrs/cattrs](https://github.com/python-attrs/cattrs)  
-1.73 stars per week over 327 weeks  
-568 stars, 81 forks, 16 watches  
-[typing](categories/typing.md) category, created 2016-08-28, last commit 2022-11-30, main language Python  
-<sub><sup>attrs, deserialization, serialization</sup></sub>
+### [testbook](https://github.com/nteract/testbook) by [nteract](https://github.com/nteract)  
+testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way  
+[https://testbook.readthedocs.io](https://testbook.readthedocs.io)  
+[https://github.com/nteract/testbook](https://github.com/nteract/testbook)  
+2.19 stars per week over 157 weeks  
+345 stars, 38 forks, 15 watches  
+[jupyter](categories/jupyter.md) category, created 2020-02-26, last commit 2022-11-29, main language Python  
+<sub><sup>jupyter-notebook, nteract, pytest, python, testbook, unit-testing</sup></sub>
 
 
-### [Gymnasium](https://github.com/farama-foundation/gymnasium) by [farama-foundation](https://github.com/farama-foundation)  
-Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)  
-[https://gymnasium.farama.org](https://gymnasium.farama.org)  
-[https://github.com/farama-foundation/gymnasium](https://github.com/farama-foundation/gymnasium)  
-43 stars per week over 12 weeks  
-561 stars, 71 forks, 9 watches  
-[sim](categories/sim.md) category, created 2022-09-08, last commit 2022-12-05, main language Python  
+### [openfisca-core](https://github.com/openfisca/openfisca-core) by [openfisca](https://github.com/openfisca)  
+openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.  
+[https://openfisca.org](https://openfisca.org)  
+[https://github.com/openfisca/openfisca-core](https://github.com/openfisca/openfisca-core)  
+0.29 stars per week over 479 weeks  
+139 stars, 70 forks, 24 watches  
+[sim](categories/sim.md) category, created 2013-12-29, last commit 2023-01-24, main language Python  
+<sub><sup>better-rules, legislation-as-code, microsimulation, rules-as-code</sup></sub>
 
 
-### [fpdf2](https://github.com/pyfpdf/fpdf2) by [pyfpdf](https://github.com/pyfpdf)  
-fpdf2: Simple PDF generation for Python  
-[https://pyfpdf.github.io/fpdf2/](https://pyfpdf.github.io/fpdf2/)  
-[https://github.com/pyfpdf/fpdf2](https://github.com/pyfpdf/fpdf2)  
-1.87 stars per week over 299 weeks  
-560 stars, 150 forks, 16 watches  
-[util](categories/util.md) category, created 2017-03-15, last commit 2022-12-02, main language Python  
-<sub><sup>barcode, hacktoberfest, library, markdown, pdf, pdf-generation, pdf-library, python, python3, svg</sup></sub>
+### [geosnap](https://github.com/spatialucr/geosnap) by [spatialucr](https://github.com/spatialucr)  
+geosnap: The Geospatial Neighborhood Analysis Package  
+[https://spatialucr.github.io/geosnap-guide](https://spatialucr.github.io/geosnap-guide)  
+[https://github.com/spatialucr/geosnap](https://github.com/spatialucr/geosnap)  
+0.78 stars per week over 232 weeks  
+181 stars, 28 forks, 17 watches  
+[gis](categories/gis.md) category, created 2018-09-19, last commit 2023-01-25, main language Python  
 
 
-### [grass](https://github.com/osgeo/grass) by [osgeo](https://github.com/osgeo)  
-GRASS GIS - free and open source Geographic Information System (GIS)  
-[https://grass.osgeo.org](https://grass.osgeo.org)  
-[https://github.com/osgeo/grass](https://github.com/osgeo/grass)  
-3.01 stars per week over 185 weeks  
-559 stars, 208 forks, 47 watches  
-[gis](categories/gis.md) category, created 2019-05-17, last commit 2022-12-06, main language C  
-<sub><sup>earth-observation, geospatial, geospatial-analysis, gis, grass-gis, hacktoberfest, open-science, osgeo, raster, remote-sensing, science, spatial, timeseries-analysis, vector</sup></sub>
+### [mrab-regex](https://github.com/mrabarnett/mrab-regex) by [mrabarnett](https://github.com/mrabarnett)  
+mrabarnett/mrab-regex  
+[https://github.com/mrabarnett/mrab-regex](https://github.com/mrabarnett/mrab-regex)  
+1.77 stars per week over 121 weeks  
+216 stars, 27 forks, 6 watches  
+[util](categories/util.md) category, created 2020-11-02, last commit 2022-10-31, main language C  
 
 
-### [lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp) by [lexpredict](https://github.com/lexpredict)  
-lexpredict-lexnlp: LexNLP by LexPredict  
-[https://github.com/lexpredict/lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp)  
-2.05 stars per week over 270 weeks  
-556 stars, 153 forks, 49 watches  
-[nlp](categories/nlp.md) category, created 2017-09-30, last commit 2022-08-10, main language HTML  
-<sub><sup>analytics, contracts, data, law, legal, legaltech, linguistics, ml, nlp</sup></sub>
+### [pebble](https://github.com/noxdafox/pebble) by [noxdafox](https://github.com/noxdafox)  
+pebble: Multi threading and processing eye-candy.  
+[https://github.com/noxdafox/pebble](https://github.com/noxdafox/pebble)  
+0.83 stars per week over 489 weeks  
+406 stars, 46 forks, 10 watches  
+[perf](categories/perf.md) category, created 2013-10-16, last commit 2023-03-01, main language Python  
+<sub><sup>asyncio, decorators, multiprocessing, pool, python, threading</sup></sub>
 
 
-### [long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion) by [sharonzhou](https://github.com/sharonzhou)  
-long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)  
-[https://github.com/sharonzhou/long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion)  
-41 stars per week over 13 weeks  
-553 stars, 43 forks, 13 watches  
-[diffusion](categories/diffusion.md) category, created 2022-09-04, last commit 2022-10-30, main language Python  
+### [pandas_market_calendars](https://github.com/rsheftel/pandas_market_calendars) by [rsheftel](https://github.com/rsheftel)  
+pandas_market_calendars: Exchange calendars to use with pandas for trading applications  
+[https://github.com/rsheftel/pandas_market_calendars](https://github.com/rsheftel/pandas_market_calendars)  
+1.74 stars per week over 325 weeks  
+568 stars, 124 forks, 30 watches  
+[finance](categories/finance.md) category, created 2016-12-07, last commit 2023-02-04, main language Python  
+<sub><sup>calendar, date, datetime, exchange, pandas</sup></sub>
 
 
-### [FastAPI-template](https://github.com/s3rius/fastapi-template) by [s3rius](https://github.com/s3rius)  
-FastAPI-template: Feature rich robust FastAPI template.  
-[https://github.com/s3rius/fastapi-template](https://github.com/s3rius/fastapi-template)  
-4.87 stars per week over 113 weeks  
-552 stars, 47 forks, 9 watches  
-[web](categories/web.md) category, created 2020-10-05, last commit 2022-11-04, main language Python  
-<sub><sup>aerich, alembic, asynchronous, asyncio, cookiecutter, cookiecutter-python3, cookiecutter-template, fastapi, fastapi-boilerplate, fastapi-template, graphql, hacktoberfest, opentelemetry, ormar, prometheus, python3, sentry, sqlalchemy-orm, strawberry-graphql, tortoise-orm</sup></sub>
+### [Wikipedia](https://github.com/goldsmith/wikipedia) by [goldsmith](https://github.com/goldsmith)  
+Wikipedia: A Pythonic wrapper for the Wikipedia API  
+[https://wikipedia.readthedocs.org/](https://wikipedia.readthedocs.org/)  
+[https://github.com/goldsmith/wikipedia](https://github.com/goldsmith/wikipedia)  
+5.17 stars per week over 497 weeks  
+2,571 stars, 521 forks, 82 watches  
+[data](categories/data.md) category, created 2013-08-20, last commit 2020-10-09, main language Python  
 
 
-### [pynamical](https://github.com/gboeing/pynamical) by [gboeing](https://github.com/gboeing)  
-Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.  
-[https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/](https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/)  
-[https://github.com/gboeing/pynamical](https://github.com/gboeing/pynamical)  
-1.29 stars per week over 427 weeks  
-550 stars, 107 forks, 32 watches  
-[sim](categories/sim.md) category, created 2014-09-28, last commit 2022-05-24, main language Python  
-<sub><sup>animation, bifurcation-diagram, chaos, cobweb-plot, fractal, fractals, ipynb, logistic, math, matplotlib, modeling, nonlinear, numba, numpy, pandas, phase-diagram, physics, python, systems, visualization</sup></sub>
+### [urwid](https://github.com/urwid/urwid)  
+urwid: Console user interface library for Python (official repo)  
+[urwid.org](urwid.org)  
+[https://github.com/urwid/urwid](https://github.com/urwid/urwid)  
+3.75 stars per week over 679 weeks  
+2,545 stars, 311 forks, 62 watches  
+[term](categories/term.md) category, created 2010-02-25, last commit 2022-07-12, main language Python  
 
 
-### [crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app) by [pmaji](https://github.com/pmaji)  
-crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.  
-[https://github.com/pmaji/crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app)  
-2.16 stars per week over 254 weeks  
-548 stars, 132 forks, 48 watches  
-[crypto](categories/crypto.md) category, created 2018-01-23, last commit 2022-11-26, main language Python  
-<sub><sup>bitcoin, bitcoin-api, bitcoin-price, cryptocurrency, cryptocurrency-exchanges, cryptocurrency-price-ticker, cryptocurrency-prices, dash, ethereum, ethereum-blockchain, ethereum-price, gdax, gdax-api, gdax-python, litecoin, litecoin-price, plotly, plotly-dash, python, python3</sup></sub>
+### [torchsde](https://github.com/google-research/torchsde) by [google-research](https://github.com/google-research)  
+torchsde: Differentiable SDE solvers with GPU support and efficient sensitivity analysis.   
+[https://github.com/google-research/torchsde](https://github.com/google-research/torchsde)  
+8.79 stars per week over 138 weeks  
+1,220 stars, 145 forks, 33 watches  
+[math](categories/math.md) category, created 2020-07-06, last commit 2021-07-26, main language Python  
+<sub><sup>deep-learning, deep-neural-networks, differential-equations, dynamical-systems, neural-differential-equations, pytorch, stochastic-differential-equations, stochastic-processes, stochastic-volatility-models</sup></sub>
 
 
-### [CodeT5](https://github.com/salesforce/codet5) by [salesforce](https://github.com/salesforce)  
-Code for CodeT5: a new code-aware pre-trained encoder-decoder model.  
-[https://arxiv.org/abs/2109.00859](https://arxiv.org/abs/2109.00859)  
-[https://github.com/salesforce/codet5](https://github.com/salesforce/codet5)  
-7.82 stars per week over 68 weeks  
-534 stars, 103 forks, 17 watches  
-[nlp](categories/nlp.md) category, created 2021-08-16, last commit 2022-07-08, main language Python  
-<sub><sup>code-intelligence, language-model, nlp, programming-language, representation-learning</sup></sub>
+### [hstream](https://github.com/conradbez/hstream) by [conradbez](https://github.com/conradbez)  
+hstream: Hyper Stream  
+[https://github.com/conradbez/hstream](https://github.com/conradbez/hstream)  
+15 stars per week over 17 weeks  
+267 stars, 11 forks, 6 watches  
+[web](categories/web.md) category, created 2022-11-03, last commit 2023-02-10, main language Python  
 
 
-### [ipykernel](https://github.com/ipython/ipykernel) by [ipython](https://github.com/ipython)  
-ipykernel: IPython Kernel for Jupyter  
-[https://ipython.readthedocs.io/en/stable/](https://ipython.readthedocs.io/en/stable/)  
-[https://github.com/ipython/ipykernel](https://github.com/ipython/ipykernel)  
-1.32 stars per week over 399 weeks  
-528 stars, 332 forks, 32 watches  
-[util](categories/util.md) category, created 2015-04-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, ipython, ipython-kernel, jupyter, jupyter-notebook, kernel, python</sup></sub>
+### [pympler](https://github.com/pympler/pympler)  
+pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.  
+[https://github.com/pympler/pympler](https://github.com/pympler/pympler)  
+1.87 stars per week over 543 weeks  
+1,018 stars, 83 forks, 10 watches  
+[perf](categories/perf.md) category, created 2012-10-04, last commit 2022-07-24, main language Python  
 
 
-### [rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer) by [kakaobrain](https://github.com/kakaobrain)  
-rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)  
-[https://github.com/kakaobrain/rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer)  
-13 stars per week over 39 weeks  
-521 stars, 60 forks, 15 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-03-03, last commit 2022-08-18, main language Jupyter Notebook  
+### [verde](https://github.com/fatiando/verde) by [fatiando](https://github.com/fatiando)  
+verde: Processing and interpolating spatial data with a twist of machine learning  
+[https://www.fatiando.org/verde](https://www.fatiando.org/verde)  
+[https://github.com/fatiando/verde](https://github.com/fatiando/verde)  
+1.87 stars per week over 253 weeks  
+474 stars, 59 forks, 21 watches  
+[gis](categories/gis.md) category, created 2018-04-25, last commit 2022-12-09, main language Python  
+<sub><sup>earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, python, python3, scipy, scipy-stack</sup></sub>
 
 
-### [iris](https://github.com/scitools/iris) by [scitools](https://github.com/scitools)  
-iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data  
-[https://scitools-iris.readthedocs.io/en/latest/](https://scitools-iris.readthedocs.io/en/latest/)  
-[https://github.com/scitools/iris](https://github.com/scitools/iris)  
-0.96 stars per week over 539 weeks  
-520 stars, 258 forks, 44 watches  
-[gis](categories/gis.md) category, created 2012-08-06, last commit 2022-12-05, main language Python  
-<sub><sup>data-analysis, earth-science, grib, iris, meteorology, netcdf, oceanography, python, spaceweather, visualisation</sup></sub>
+### [spatialpandas](https://github.com/holoviz/spatialpandas) by [holoviz](https://github.com/holoviz)  
+spatialpandas: Pandas extension arrays for spatial/geometric operations  
+[https://github.com/holoviz/spatialpandas](https://github.com/holoviz/spatialpandas)  
+1.47 stars per week over 174 weeks  
+257 stars, 21 forks, 22 watches  
+[pandas](categories/pandas.md) category, created 2019-10-28, last commit 2023-03-02, main language Python  
+<sub><sup>geographic-data, geopandas, holoviz, pandas, spatialpandas</sup></sub>
 
 
-### [pySBD](https://github.com/nipunsadvilkar/pysbd) by [nipunsadvilkar](https://github.com/nipunsadvilkar)  
-pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.  
-[https://github.com/nipunsadvilkar/pysbd](https://github.com/nipunsadvilkar/pysbd)  
-1.81 stars per week over 286 weeks  
-519 stars, 63 forks, 10 watches  
-[nlp](categories/nlp.md) category, created 2017-06-11, last commit 2021-02-11, main language Python  
-<sub><sup>python, rule-based, segmentation, sentence, sentence-boundary-detection, sentence-tokenizer</sup></sub>
+### [dataclasses-json](https://github.com/lidatong/dataclasses-json) by [lidatong](https://github.com/lidatong)  
+dataclasses-json: Easily serialize Data Classes to and from JSON  
+[https://github.com/lidatong/dataclasses-json](https://github.com/lidatong/dataclasses-json)  
+4.24 stars per week over 254 weeks  
+1,077 stars, 117 forks, 10 watches  
+[util](categories/util.md) category, created 2018-04-21, last commit 2022-08-14, main language Python  
+<sub><sup>dataclasses, json, python</sup></sub>
 
 
-### [stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20) by [rasbt](https://github.com/rasbt)  
-stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)  
-[http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/)  
-[https://github.com/rasbt/stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20)  
-3.45 stars per week over 150 weeks  
-518 stars, 148 forks, 36 watches  
-[study](categories/study.md) category, created 2020-01-20, last commit 2020-05-01, main language Jupyter Notebook  
+### [muffin](https://github.com/klen/muffin) by [klen](https://github.com/klen)  
+Muffin is a fast, simple and asyncronous web-framework for Python 3  
+[https://github.com/klen/muffin](https://github.com/klen/muffin)  
+1.48 stars per week over 421 weeks  
+625 stars, 25 forks, 31 watches  
+[web](categories/web.md) category, created 2015-02-03, last commit 2023-03-04, main language Python  
+<sub><sup>asgi, asyncio, curio, muffin, python, trio, webframework</sup></sub>
 
 
-### [filesystem_spec](https://github.com/fsspec/filesystem_spec) by [fsspec](https://github.com/fsspec)  
-filesystem_spec: A specification that python filesystems should adhere to.  
-[https://github.com/fsspec/filesystem_spec](https://github.com/fsspec/filesystem_spec)  
-2.14 stars per week over 241 weeks  
-517 stars, 225 forks, 21 watches  
-[util](categories/util.md) category, created 2018-04-23, last commit 2022-12-02, main language Python  
+### [osmnx-examples](https://github.com/gboeing/osmnx-examples) by [gboeing](https://github.com/gboeing)  
+osmnx-examples: Usage examples, demos, and tutorials for OSMnx.  
+[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
+[https://github.com/gboeing/osmnx-examples](https://github.com/gboeing/osmnx-examples)  
+4.18 stars per week over 293 weeks  
+1,224 stars, 449 forks, 54 watches  
+[gis](categories/gis.md) category, created 2017-07-22, last commit 2023-01-01, main language Jupyter Notebook  
+<sub><sup>accessibility, binder, cities, city, jupyter-notebook, network-analysis, notebooks, openstreetmap, public-transport, python, street-networks, transit, transport, transportation, urban-analytics, urban-data-science, urban-design, urban-planning</sup></sub>
 
 
 ### [rtree](https://github.com/toblerity/rtree) by [toblerity](https://github.com/toblerity)  
 Rtree: spatial index for Python GIS ¶  
 [https://rtree.readthedocs.io/en/latest/](https://rtree.readthedocs.io/en/latest/)  
 [https://github.com/toblerity/rtree](https://github.com/toblerity/rtree)  
-0.86 stars per week over 598 weeks  
-514 stars, 123 forks, 30 watches  
-[gis](categories/gis.md) category, created 2011-06-19, last commit 2022-11-04, main language Python  
+0.86 stars per week over 611 weeks  
+527 stars, 123 forks, 30 watches  
+[gis](categories/gis.md) category, created 2011-06-19, last commit 2023-01-23, main language Python  
 
 
-### [cuda-python](https://github.com/nvidia/cuda-python) by [nvidia](https://github.com/nvidia)  
-cuda-python: CUDA Python Low-level Bindings  
-[https://nvidia.github.io/cuda-python/](https://nvidia.github.io/cuda-python/)  
-[https://github.com/nvidia/cuda-python](https://github.com/nvidia/cuda-python)  
-6.83 stars per week over 75 weeks  
-514 stars, 38 forks, 23 watches  
-[ml](categories/ml.md) category, created 2021-06-28, last commit 2022-11-04, main language Python  
+### [lambeq](https://github.com/cqcl/lambeq) by [cqcl](https://github.com/cqcl)  
+lambeq: A high-level Python library for Quantum Natural Language Processing  
+[https://cqcl.github.io/lambeq/](https://cqcl.github.io/lambeq/)  
+[https://github.com/cqcl/lambeq](https://github.com/cqcl/lambeq)  
+4.42 stars per week over 73 weeks  
+323 stars, 71 forks, 25 watches  
+[nlp](categories/nlp.md) category, created 2021-10-10, last commit 2023-01-09, main language Python  
+<sub><sup>python, qnlp</sup></sub>
 
 
-### [Auto_TS](https://github.com/autoviml/auto_ts) by [autoviml](https://github.com/autoviml)  
-Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.  
-[https://github.com/autoviml/auto_ts](https://github.com/autoviml/auto_ts)  
-3.48 stars per week over 146 weeks  
-510 stars, 92 forks, 16 watches  
-[time-series](categories/time-series.md) category, created 2020-02-15, last commit 2022-08-16, main language Jupyter Notebook  
-<sub><sup>arima, auto-arima, auto-sklearn, auto-timeseries, autokeras, automl, autosklearn, prophet, python, python3, sklearn, time-series, time-series-analysis, tpot</sup></sub>
+### [geoviews](https://github.com/holoviz/geoviews) by [holoviz](https://github.com/holoviz)  
+geoviews: Simple, concise geographical visualization in Python  
+[http://geoviews.org](http://geoviews.org)  
+[https://github.com/holoviz/geoviews](https://github.com/holoviz/geoviews)  
+1.28 stars per week over 358 weeks  
+460 stars, 68 forks, 28 watches  
+[gis](categories/gis.md) category, created 2016-04-19, last commit 2023-01-17, main language Python  
+<sub><sup>cartopy, geographic-visualizations, geoviews, holoviews, holoviz, plotting</sup></sub>
 
 
-### [panoramix](https://github.com/palkeo/panoramix) by [palkeo](https://github.com/palkeo)  
-panoramix: Ethereum decompiler  
-[https://github.com/palkeo/panoramix](https://github.com/palkeo/panoramix)  
-3.48 stars per week over 146 weeks  
-509 stars, 140 forks, 30 watches  
-[crypto](categories/crypto.md) category, created 2020-02-17, last commit 2020-08-22, main language Python  
+### [coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization) by [amanchadha](https://github.com/amanchadha)  
+coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models  
+[https://github.com/amanchadha/coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization)  
+12 stars per week over 140 weeks  
+1,794 stars, 1,564 forks, 17 watches  
+[study](categories/study.md) category, created 2020-06-24, last commit 2022-02-07, main language Jupyter Notebook  
+<sub><sup>andrew-ng, andrew-ng-course, cnns, convolutional-neural-network, convolutional-neural-networks, coursera, coursera-assignment, coursera-machine-learning, coursera-specialization, deep-learning, hyperparameter-optimization, hyperparameter-tuning, neural-machine-translation, neural-network, neural-networks, neural-style-transfer, recurrent-neural-network, recurrent-neural-networks, regularization, rnns</sup></sub>
 
 
-### [kedro-viz](https://github.com/kedro-org/kedro-viz) by [kedro-org](https://github.com/kedro-org)  
-kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments.   
-[https://demo.kedro.org/](https://demo.kedro.org/)  
-[https://github.com/kedro-org/kedro-viz](https://github.com/kedro-org/kedro-viz)  
-2.71 stars per week over 186 weeks  
-506 stars, 83 forks, 9 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-05-09, last commit 2022-11-18, main language JavaScript  
-<sub><sup>data-visualization, experiment-tracking, hacktoberfest, kedro, kedro-plugin, python, react</sup></sub>
+### [deepparse](https://github.com/graal-research/deepparse) by [graal-research](https://github.com/graal-research)  
+Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning  
+[https://deepparse.org/](https://deepparse.org/)  
+[https://github.com/graal-research/deepparse](https://github.com/graal-research/deepparse)  
+1.48 stars per week over 139 weeks  
+207 stars, 24 forks, 4 watches  
+[gis](categories/gis.md) category, created 2020-07-01, last commit 2023-02-23, main language Python  
+<sub><sup>addresses-parsing, machine-learning, python</sup></sub>
 
 
-### [python-soundfile](https://github.com/bastibe/python-soundfile) by [bastibe](https://github.com/bastibe)  
-python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy  
-[https://github.com/bastibe/python-soundfile](https://github.com/bastibe/python-soundfile)  
-1.04 stars per week over 484 weeks  
-503 stars, 85 forks, 17 watches  
-[util](categories/util.md) category, created 2013-08-27, last commit 2022-09-27, main language Python  
+### [spacy-stanza](https://github.com/explosion/spacy-stanza) by [explosion](https://github.com/explosion)  
+spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy  
+[https://github.com/explosion/spacy-stanza](https://github.com/explosion/spacy-stanza)  
+3.15 stars per week over 213 weeks  
+672 stars, 50 forks, 25 watches  
+[nlp](categories/nlp.md) category, created 2019-01-31, last commit 2022-05-27, main language Python  
+<sub><sup>corenlp, data-science, machine-learning, natural-language-processing, nlp, spacy, spacy-pipeline, stanford-corenlp, stanford-machine-learning, stanford-nlp, stanza</sup></sub>
 
 
-### [ml-metadata](https://github.com/google/ml-metadata) by [google](https://github.com/google)  
-ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.  
-[https://www.tensorflow.org/tfx/guide/mlmd](https://www.tensorflow.org/tfx/guide/mlmd)  
-[https://github.com/google/ml-metadata](https://github.com/google/ml-metadata)  
-2.46 stars per week over 203 weeks  
-500 stars, 113 forks, 27 watches  
-[ml-ops](categories/ml-ops.md) category, created 2019-01-15, last commit 2022-12-07, main language C++  
+### [Styleformer](https://github.com/prithivirajdamodaran/styleformer) by [prithivirajdamodaran](https://github.com/prithivirajdamodaran)  
+Styleformer: A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.  
+[https://github.com/prithivirajdamodaran/styleformer](https://github.com/prithivirajdamodaran/styleformer)  
+4.9 stars per week over 90 weeks  
+442 stars, 59 forks, 18 watches  
+[nlp](categories/nlp.md) category, created 2021-06-12, last commit 2022-12-27, main language Python  
+<sub><sup>active, formal-languages, informal-sentences, nlp, passive, slang, style-transfer, text-style, text-style-transfer, text-style-transfer-benchmark</sup></sub>
 
 
-### [ml-ane-transformers](https://github.com/apple/ml-ane-transformers) by [apple](https://github.com/apple)  
-ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)  
-[https://github.com/apple/ml-ane-transformers](https://github.com/apple/ml-ane-transformers)  
-18 stars per week over 26 weeks  
-488 stars, 26 forks, 26 watches  
-[ml](categories/ml.md) category, created 2022-06-03, last commit 2022-08-09, main language Python  
+### [python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser) by [sciunto-org](https://github.com/sciunto-org)  
+python-bibtexparser: Bibtex parser for Python 3  
+[https://bibtexparser.readthedocs.io](https://bibtexparser.readthedocs.io)  
+[https://github.com/sciunto-org/python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser)  
+0.65 stars per week over 530 weeks  
+347 stars, 118 forks, 17 watches  
+[util](categories/util.md) category, created 2013-01-05, last commit 2023-01-03, main language Python  
+<sub><sup>bibtex, bibtex-files, hacktoberfest2022, latex, python</sup></sub>
 
 
-### [Focal-Transformer](https://github.com/microsoft/focal-transformer) by [microsoft](https://github.com/microsoft)  
-Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"  
-[https://github.com/microsoft/focal-transformer](https://github.com/microsoft/focal-transformer)  
-6.61 stars per week over 73 weeks  
-486 stars, 57 forks, 17 watches  
-[ml](categories/ml.md) category, created 2021-07-10, last commit 2022-03-27, main language Python  
+### [aws-adfs](https://github.com/venth/aws-adfs) by [venth](https://github.com/venth)  
+aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory)  
+[https://github.com/venth/aws-adfs](https://github.com/venth/aws-adfs)  
+0.81 stars per week over 349 weeks  
+282 stars, 91 forks, 11 watches  
+[util](categories/util.md) category, created 2016-06-25, last commit 2022-12-14, main language Python  
+<sub><sup>adfs, aws, command-line, duo-security, multi-factor-authentication, python, tools</sup></sub>
 
 
-### [PiML-Toolbox](https://github.com/selfexplainml/piml-toolbox) by [selfexplainml](https://github.com/selfexplainml)  
-PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation  
-[https://selfexplainml.github.io/PiML-Toolbox](https://selfexplainml.github.io/PiML-Toolbox)  
-[https://github.com/selfexplainml/piml-toolbox](https://github.com/selfexplainml/piml-toolbox)  
-15 stars per week over 31 weeks  
-482 stars, 52 forks, 12 watches  
-[ml-interpretability](categories/ml-interpretability.md) category, created 2022-04-29, last commit 2022-12-01, main language Jupyter Notebook  
-<sub><sup>interpretable-machine-learning, low-code, ml-workflow, model-diagnostics</sup></sub>
+### [mpmath](https://github.com/fredrik-johansson/mpmath) by [fredrik-johansson](https://github.com/fredrik-johansson)  
+mpmath: Python library for arbitrary-precision floating-point arithmetic  
+[http://mpmath.org](http://mpmath.org)  
+[https://github.com/fredrik-johansson/mpmath](https://github.com/fredrik-johansson/mpmath)  
+1.25 stars per week over 586 weeks  
+736 stars, 152 forks, 40 watches  
+[math](categories/math.md) category, created 2011-12-07, last commit 2023-01-10, main language Python  
+<sub><sup>arbitrary-precision, complex-numbers, floating-point, multiprecision, numerical-integration, numerical-methods, numerical-optimization, ordinary-differential-equations, plotting, python, special-functions</sup></sub>
 
 
-### [CoastSat](https://github.com/kvos/coastsat) by [kvos](https://github.com/kvos)  
-CoastSat: Global shoreline mapping tool from satellite imagery  
-[http://coastsat.wrl.unsw.edu.au/](http://coastsat.wrl.unsw.edu.au/)  
-[https://github.com/kvos/coastsat](https://github.com/kvos/coastsat)  
-2.18 stars per week over 218 weeks  
-477 stars, 194 forks, 23 watches  
-[gis](categories/gis.md) category, created 2018-09-28, last commit 2022-11-11, main language Jupyter Notebook  
-<sub><sup>coastal-engineering, earth-engine, google-earth-engine, remote-sensing, satellite-images, shoreline-detection</sup></sub>
+### [CodeT5](https://github.com/salesforce/codet5) by [salesforce](https://github.com/salesforce)  
+Code for CodeT5: a new code-aware pre-trained encoder-decoder model.  
+[https://arxiv.org/abs/2109.00859](https://arxiv.org/abs/2109.00859)  
+[https://github.com/salesforce/codet5](https://github.com/salesforce/codet5)  
+8.19 stars per week over 80 weeks  
+662 stars, 124 forks, 22 watches  
+[nlp](categories/nlp.md) category, created 2021-08-16, last commit 2022-07-08, main language Python  
+<sub><sup>code-intelligence, language-model, nlp, programming-language, representation-learning</sup></sub>
 
 
-### [FEDOT](https://github.com/nccr-itmo/fedot) by [nccr-itmo](https://github.com/nccr-itmo)  
-FEDOT: Automated modeling and machine learning framework FEDOT  
-[https://fedot.readthedocs.io](https://fedot.readthedocs.io)  
-[https://github.com/nccr-itmo/fedot](https://github.com/nccr-itmo/fedot)  
-3.15 stars per week over 151 weeks  
-476 stars, 61 forks, 9 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-01-13, last commit 2022-12-01, main language Python  
-<sub><sup>automated-machine-learning, automation, automl, evolutionary-algorithms, fedot, genetic-programming, hyperparameter-optimization, machine-learning, multimodality, parameter-tuning, structural-learning</sup></sub>
+### [check-manifest](https://github.com/mgedmin/check-manifest) by [mgedmin](https://github.com/mgedmin)  
+check-manifest: Tool to check the completeness of MANIFEST.in for Python packages  
+[https://pypi.org/p/check-manifest](https://pypi.org/p/check-manifest)  
+[https://github.com/mgedmin/check-manifest](https://github.com/mgedmin/check-manifest)  
+0.53 stars per week over 521 weeks  
+275 stars, 37 forks, 7 watches  
+[util](categories/util.md) category, created 2013-03-05, last commit 2022-12-11, main language Python  
+
+
+### [arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
+arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.  
+[https://www.arxiv-vanity.com](https://www.arxiv-vanity.com)  
+[https://github.com/arxiv-vanity/arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
+4.78 stars per week over 290 weeks  
+1,386 stars, 89 forks, 22 watches  
+[nlp](categories/nlp.md) category, created 2017-08-12, last commit 2022-01-18, main language Python  
+<sub><sup>academic-publishing, arxiv, latex, science</sup></sub>
+
+
+### [asyncpraw](https://github.com/praw-dev/asyncpraw) by [praw-dev](https://github.com/praw-dev)  
+asyncpraw: Async PRAW, an abbreviation for "Asynchronous Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
+[https://asyncpraw.readthedocs.io](https://asyncpraw.readthedocs.io)  
+[https://github.com/praw-dev/asyncpraw](https://github.com/praw-dev/asyncpraw)  
+0.39 stars per week over 212 weeks  
+82 stars, 14 forks, 3 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-02-05, last commit 2023-02-25, main language Python  
+<sub><sup>api, async, asyncpraw, oauth, praw, python, reddit, reddit-api</sup></sub>
+
+
+### [cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic) by [developmentseed](https://github.com/developmentseed)  
+cogeo-mosaic: Create and use COG mosaic based on mosaicJSON  
+[https://developmentseed.org/cogeo-mosaic/](https://developmentseed.org/cogeo-mosaic/)  
+[https://github.com/developmentseed/cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic)  
+0.39 stars per week over 198 weeks  
+78 stars, 21 forks, 8 watches  
+[gis](categories/gis.md) category, created 2019-05-14, last commit 2023-03-03, main language Python  
 
 
-### [sql-metadata](https://github.com/macbre/sql-metadata) by [macbre](https://github.com/macbre)  
-sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata  
-[https://pypi.python.org/pypi/sql-metadata](https://pypi.python.org/pypi/sql-metadata)  
-[https://github.com/macbre/sql-metadata](https://github.com/macbre/sql-metadata)  
-1.63 stars per week over 287 weeks  
-468 stars, 84 forks, 15 watches  
-[data](categories/data.md) category, created 2017-06-06, last commit 2022-11-03, main language Python  
-<sub><sup>database, hive, hiveql, metadata, mysql-query, parser, python-package, python3-library, sql, sql-parser, sqlparse</sup></sub>
+### [nbval](https://github.com/computationalmodelling/nbval) by [computationalmodelling](https://github.com/computationalmodelling)  
+nbval: A py.test plugin to validate Jupyter notebooks  
+[https://github.com/computationalmodelling/nbval](https://github.com/computationalmodelling/nbval)  
+0.97 stars per week over 412 weeks  
+398 stars, 51 forks, 10 watches  
+[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2023-01-11, main language Python  
+<sub><sup>ipython-notebook, jupyter-notebook, pytest, pytest-plugin, python, testing</sup></sub>
 
 
-### [verde](https://github.com/fatiando/verde) by [fatiando](https://github.com/fatiando)  
-verde: Processing and interpolating spatial data with a twist of machine learning  
-[https://www.fatiando.org/verde](https://www.fatiando.org/verde)  
-[https://github.com/fatiando/verde](https://github.com/fatiando/verde)  
-1.94 stars per week over 241 weeks  
-467 stars, 60 forks, 21 watches  
-[gis](categories/gis.md) category, created 2018-04-25, last commit 2022-11-30, main language Python  
-<sub><sup>earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, python, python3, scipy, scipy-stack</sup></sub>
+### [PokerPy](https://github.com/glpcc/pokerpy) by [glpcc](https://github.com/glpcc)  
+PokerPy: Texas Hold'em Poker Probability Calculator in Python  
+[https://github.com/glpcc/pokerpy](https://github.com/glpcc/pokerpy)  
+3.42 stars per week over 12 weeks  
+41 stars, 4 forks, 1 watches  
+[sim](categories/sim.md) category, created 2022-12-11, last commit 2023-02-10, main language C++  
+<sub><sup>cpp, fast, performance, poker, pybind11, python, texas-holdem</sup></sub>
 
 
-### [specialist](https://github.com/brandtbucher/specialist) by [brandtbucher](https://github.com/brandtbucher)  
-specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:  
-[https://github.com/brandtbucher/specialist](https://github.com/brandtbucher/specialist)  
-17 stars per week over 27 weeks  
-465 stars, 9 forks, 8 watches  
-[perf](categories/perf.md) category, created 2022-06-01, last commit 2022-12-02, main language Python  
+### [research_public](https://github.com/quantopian/research_public) by [quantopian](https://github.com/quantopian)  
+research_public: Quantitative research and educational materials  
+[https://www.quantopian.com/lectures](https://www.quantopian.com/lectures)  
+[https://github.com/quantopian/research_public](https://github.com/quantopian/research_public)  
+4.95 stars per week over 418 weeks  
+2,071 stars, 1,451 forks, 201 watches  
+[finance](categories/finance.md) category, created 2015-02-26, last commit 2020-10-30, main language Jupyter Notebook  
 
 
-### [atspy](https://github.com/firmai/atspy) by [firmai](https://github.com/firmai)  
-AtsPy: Automated Time Series Models in Python (by @firmai)  
-[https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631)  
-[https://github.com/firmai/atspy](https://github.com/firmai/atspy)  
-3.1 stars per week over 149 weeks  
-462 stars, 88 forks, 21 watches  
-[time-series](categories/time-series.md) category, created 2020-01-28, last commit 2021-12-18, main language Python  
-<sub><sup>automated, finance, forecasting, forecasting-models, python, time-series, time-series-analysis</sup></sub>
+### [rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer) by [kakaobrain](https://github.com/kakaobrain)  
+rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)  
+[https://github.com/kakaobrain/rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer)  
+10 stars per week over 52 weeks  
+539 stars, 61 forks, 15 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-03-03, last commit 2022-08-18, main language Jupyter Notebook  
 
 
-### [ppuda](https://github.com/facebookresearch/ppuda) by [facebookresearch](https://github.com/facebookresearch)  
-ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)  
-[https://github.com/facebookresearch/ppuda](https://github.com/facebookresearch/ppuda)  
-7.76 stars per week over 58 weeks  
-457 stars, 61 forks, 17 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-10-21, last commit 2022-07-26, main language Python  
+### [data-link-python](https://github.com/nasdaq/data-link-python) by [nasdaq](https://github.com/nasdaq)  
+data-link-python: A Python library for Nasdaq Data Link's RESTful API  
+[https://github.com/nasdaq/data-link-python](https://github.com/nasdaq/data-link-python)  
+3.0 stars per week over 69 weeks  
+209 stars, 39 forks, 9 watches  
+[finance](categories/finance.md) category, created 2021-11-02, last commit 2022-08-29, main language Python  
 
 
-### [Deep-Video-Inpainting](https://github.com/mcahny/deep-video-inpainting) by [mcahny](https://github.com/mcahny)  
-Deep-Video-Inpainting: Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)  
-[https://github.com/mcahny/deep-video-inpainting](https://github.com/mcahny/deep-video-inpainting)  
-2.41 stars per week over 185 weeks  
-445 stars, 86 forks, 13 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-05-22, last commit 2020-12-10, main language Python  
+### [sgpt](https://github.com/muennighoff/sgpt) by [muennighoff](https://github.com/muennighoff)  
+SGPT: GPT Sentence Embeddings for Semantic Search  
+[https://github.com/muennighoff/sgpt](https://github.com/muennighoff/sgpt)  
+4.78 stars per week over 55 weeks  
+264 stars, 27 forks, 6 watches  
+[nlp](categories/nlp.md) category, created 2022-02-11, last commit 2022-09-12, main language Jupyter Notebook  
+<sub><sup>gpt, information-retrieval, language-model, large-language-models, neural-search, retrieval, semantic-search, sentence-embeddings, sgpt, text-embedding</sup></sub>
 
 
-### [datatile](https://github.com/polyaxon/datatile) by [polyaxon](https://github.com/polyaxon)  
-datatile: A library for managing, validating, summarizing, and visualizing data  
-[https://github.com/polyaxon/datatile](https://github.com/polyaxon/datatile)  
-1.27 stars per week over 349 weeks  
-443 stars, 40 forks, 13 watches  
-[pandas](categories/pandas.md) category, created 2016-03-25, last commit 2022-11-09, main language Python  
-<sub><sup>dask, data-analysis, data-exploration, data-profiling, data-quality, data-quality-checks, data-quality-monitoring, data-reporting, data-science, data-summary, data-visualization, dataframes, dataops, matplotlib, mlops, pandas, pandas-summary, plotly, spark, statistics</sup></sub>
+### [transition-amr-parser](https://github.com/ibm/transition-amr-parser) by [ibm](https://github.com/ibm)  
+transition-amr-parser: SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.  
+[https://github.com/ibm/transition-amr-parser](https://github.com/ibm/transition-amr-parser)  
+0.98 stars per week over 177 weeks  
+174 stars, 40 forks, 9 watches  
+[nlp](categories/nlp.md) category, created 2019-10-08, last commit 2023-02-01, main language Python  
+<sub><sup>abstract-meaning-representation, amr, amr-graphs, amr-parser, amr-parsing, machine-learning, nlp, semantic-parsing</sup></sub>
 
 
-### [geoviews](https://github.com/holoviz/geoviews) by [holoviz](https://github.com/holoviz)  
-geoviews: Simple, concise geographical visualization in Python  
-[http://geoviews.org](http://geoviews.org)  
-[https://github.com/holoviz/geoviews](https://github.com/holoviz/geoviews)  
-1.27 stars per week over 346 weeks  
-441 stars, 69 forks, 30 watches  
-[gis](categories/gis.md) category, created 2016-04-19, last commit 2022-11-18, main language Python  
-<sub><sup>cartopy, geographic-visualizations, geoviews, holoviews, holoviz, plotting</sup></sub>
+### [example-code-2e](https://github.com/fluentpython/example-code-2e) by [fluentpython](https://github.com/fluentpython)  
+example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022)   
+[https://amzn.to/3J48u2J](https://amzn.to/3J48u2J)  
+[https://github.com/fluentpython/example-code-2e](https://github.com/fluentpython/example-code-2e)  
+8.45 stars per week over 206 weeks  
+1,745 stars, 525 forks, 54 watches  
+[study](categories/study.md) category, created 2019-03-21, last commit 2022-04-24, main language Python  
+<sub><sup>concurrency, iterators, metaprogramming, python, python3, special-methods</sup></sub>
 
 
-### [nodevectors](https://github.com/vhranger/nodevectors) by [vhranger](https://github.com/vhranger)  
-nodevectors: Fastest network node embeddings in the west  
-[https://github.com/vhranger/nodevectors](https://github.com/vhranger/nodevectors)  
-2.5 stars per week over 175 weeks  
-440 stars, 52 forks, 11 watches  
-[viz](categories/viz.md) category, created 2019-07-25, last commit 2021-11-06, main language Python  
+### [fiber](https://github.com/uber/fiber) by [uber](https://github.com/uber)  
+fiber: Distributed Computing for AI Made Simple  
+[https://uber.github.io/fiber/](https://uber.github.io/fiber/)  
+[https://github.com/uber/fiber](https://github.com/uber/fiber)  
+6.1 stars per week over 164 weeks  
+1,004 stars, 113 forks, 22 watches  
+[data](categories/data.md) category, created 2020-01-07, last commit 2021-03-15, main language Python  
+<sub><sup>distributed-computing, machine-learning, multiprocessing, python, sandbox</sup></sub>
 
 
-### [whatlies](https://github.com/koaning/whatlies) by [koaning](https://github.com/koaning)  
-whatlies: Toolkit to help understand "what lies" in word embeddings. Also benchmarking!   
-[https://koaning.github.io/whatlies/](https://koaning.github.io/whatlies/)  
-[https://github.com/koaning/whatlies](https://github.com/koaning/whatlies)  
-2.99 stars per week over 145 weeks  
-435 stars, 49 forks, 13 watches  
-[nlp](categories/nlp.md) category, created 2020-02-22, last commit 2022-07-28, main language Python  
-<sub><sup>embeddings, nlp, visualisations</sup></sub>
+### [pytz](https://github.com/stub42/pytz) by [stub42](https://github.com/stub42)  
+pytz Python historical timezone library and database  
+[https://github.com/stub42/pytz](https://github.com/stub42/pytz)  
+0.7 stars per week over 346 weeks  
+244 stars, 69 forks, 14 watches  
+[util](categories/util.md) category, created 2016-07-12, last commit 2023-01-14, main language C  
 
 
-### [label-maker](https://github.com/developmentseed/label-maker) by [developmentseed](https://github.com/developmentseed)  
-label-maker: Data Preparation for Satellite Machine Learning  
-[http://devseed.com/label-maker/](http://devseed.com/label-maker/)  
-[https://github.com/developmentseed/label-maker](https://github.com/developmentseed/label-maker)  
-1.7 stars per week over 256 weeks  
-434 stars, 113 forks, 50 watches  
-[gis](categories/gis.md) category, created 2018-01-10, last commit 2020-11-19, main language Python  
-<sub><sup>computer-vision, data-preparation, deep-learning, keras, remote-sensing, satellite-imagery</sup></sub>
+### [contextily](https://github.com/geopandas/contextily) by [geopandas](https://github.com/geopandas)  
+contextily: Context geo-tiles in Python  
+[https://contextily.readthedocs.io/en/latest/](https://contextily.readthedocs.io/en/latest/)  
+[https://github.com/geopandas/contextily](https://github.com/geopandas/contextily)  
+1.14 stars per week over 338 weeks  
+387 stars, 68 forks, 14 watches  
+[gis](categories/gis.md) category, created 2016-09-08, last commit 2023-02-06, main language Jupyter Notebook  
+<sub><sup>cartography, geography, mapping, matplotlib, openstreetmap, osm, python, stamen, stamen-maps, tile, tiles, webtiles</sup></sub>
 
 
-### [python-rasterstats](https://github.com/perrygeo/python-rasterstats) by [perrygeo](https://github.com/perrygeo)  
-python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.  
-[https://github.com/perrygeo/python-rasterstats](https://github.com/perrygeo/python-rasterstats)  
-0.9 stars per week over 481 weeks  
-434 stars, 108 forks, 33 watches  
-[gis](categories/gis.md) category, created 2013-09-18, last commit 2022-10-18, main language Python  
+### [aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client) by [aws](https://github.com/aws)  
+aws/aws-lambda-python-runtime-interface-client  
+[https://github.com/aws/aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client)  
+1.51 stars per week over 130 weeks  
+197 stars, 49 forks, 16 watches  
+[util](categories/util.md) category, created 2020-09-02, last commit 2023-02-16, main language Python  
 
 
-### [loky](https://github.com/joblib/loky) by [joblib](https://github.com/joblib)  
-loky: Robust and reusable Executor for joblib  
-[http://loky.readthedocs.io/en/stable/](http://loky.readthedocs.io/en/stable/)  
-[https://github.com/joblib/loky](https://github.com/joblib/loky)  
-1.19 stars per week over 362 weeks  
-432 stars, 41 forks, 9 watches  
-[perf](categories/perf.md) category, created 2015-12-25, last commit 2022-09-15, main language Python  
-<sub><sup>multiprocessing-library, python</sup></sub>
+### [stockpredictionai](https://github.com/borisbanushev/stockpredictionai) by [borisbanushev](https://github.com/borisbanushev)  
+stockpredictionai:        In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.  
+[https://github.com/borisbanushev/stockpredictionai](https://github.com/borisbanushev/stockpredictionai)  
+16 stars per week over 216 weeks  
+3,597 stars, 1,588 forks, 262 watches  
+[finance](categories/finance.md) category, created 2019-01-09, last commit 2019-02-11, main language None  
 
 
-### [Daft](https://github.com/eventual-inc/daft) by [eventual-inc](https://github.com/eventual-inc)  
-Daft: The Python DataFrame for Complex Data  
-[https://github.com/eventual-inc/daft](https://github.com/eventual-inc/daft)  
-13 stars per week over 32 weeks  
-431 stars, 12 forks, 6 watches  
-[pandas](categories/pandas.md) category, created 2022-04-25, last commit 2022-12-07, main language Python  
-<sub><sup>data-engineering, data-science, dataframe, deep-learning, distributed-computing, image-processing, machine-learning, python</sup></sub>
+### [auton-survival](https://github.com/autonlab/auton-survival) by [autonlab](https://github.com/autonlab)  
+auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events   
+[http://autonlab.github.io/auton-survival](http://autonlab.github.io/auton-survival)  
+[https://github.com/autonlab/auton-survival](https://github.com/autonlab/auton-survival)  
+1.39 stars per week over 152 weeks  
+212 stars, 52 forks, 7 watches  
+[ml](categories/ml.md) category, created 2020-04-01, last commit 2023-03-03, main language Python  
+<sub><sup>causal-inference, counterfactual-inference, data-science, deep-learning, graphical-models, machine-learning, python, regression, reliability-analysis, survival-analysis, time-to-event</sup></sub>
 
 
-### [titiler](https://github.com/developmentseed/titiler) by [developmentseed](https://github.com/developmentseed)  
-titiler: Build your own Raster dynamic map tile services  
-[https://developmentseed.org/titiler/](https://developmentseed.org/titiler/)  
-[https://github.com/developmentseed/titiler](https://github.com/developmentseed/titiler)  
-2.39 stars per week over 179 weeks  
-430 stars, 98 forks, 18 watches  
-[gis](categories/gis.md) category, created 2019-06-28, last commit 2022-12-05, main language Python  
-<sub><sup>aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile</sup></sub>
+### [arxiv.py](https://github.com/lukasschwab/arxiv.py) by [lukasschwab](https://github.com/lukasschwab)  
+arxiv.py: Python wrapper for the arXiv API  
+[https://github.com/lukasschwab/arxiv.py](https://github.com/lukasschwab/arxiv.py)  
+1.61 stars per week over 379 weeks  
+613 stars, 81 forks, 17 watches  
+[util](categories/util.md) category, created 2015-11-25, last commit 2023-02-01, main language Python  
+<sub><sup>arxiv, arxiv-api, pdf, python-wrapper</sup></sub>
 
 
-### [astronomer](https://github.com/astronomer/astronomer)  
-astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes  
-[https://www.astronomer.io](https://www.astronomer.io)  
-[https://github.com/astronomer/astronomer](https://github.com/astronomer/astronomer)  
-1.68 stars per week over 255 weeks  
-430 stars, 77 forks, 43 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-01-15, last commit 2022-12-06, main language Python  
-<sub><sup>apache-airflow, astronomer-platform, docker, kubernetes</sup></sub>
+### [pypistats](https://github.com/hugovk/pypistats) by [hugovk](https://github.com/hugovk)  
+pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages  
+[https://pypistats.org/api/](https://pypistats.org/api/)  
+[https://github.com/hugovk/pypistats](https://github.com/hugovk/pypistats)  
+0.63 stars per week over 232 weeks  
+146 stars, 26 forks, 4 watches  
+[util](categories/util.md) category, created 2018-09-22, last commit 2023-03-01, main language Python  
+<sub><sup>api, cli, command-line, command-line-tool, downloads, hacktoberfest, pypi, python, python3, statistics, stats</sup></sub>
 
 
-### [urbansim](https://github.com/udst/urbansim) by [udst](https://github.com/udst)  
-urbansim: Platform for building statistical models of cities and regions  
-[https://udst.github.io/urbansim/](https://udst.github.io/urbansim/)  
-[https://github.com/udst/urbansim](https://github.com/udst/urbansim)  
-0.86 stars per week over 485 weeks  
-419 stars, 124 forks, 78 watches  
-[sim](categories/sim.md) category, created 2013-08-15, last commit 2020-05-11, main language Python  
+### [py-frameworks-bench](https://github.com/klen/py-frameworks-bench) by [klen](https://github.com/klen)  
+py-frameworks-bench: Another benchmark for some python frameworks  
+[https://klen.github.io/py-frameworks-bench/](https://klen.github.io/py-frameworks-bench/)  
+[https://github.com/klen/py-frameworks-bench](https://github.com/klen/py-frameworks-bench)  
+1.67 stars per week over 409 weeks  
+684 stars, 80 forks, 27 watches  
+[perf](categories/perf.md) category, created 2015-04-30, last commit 2022-03-14, main language Python  
+<sub><sup>benchmark, python-frameworks</sup></sub>
 
 
-### [ghapi](https://github.com/fastai/ghapi) by [fastai](https://github.com/fastai)  
-ghapi: A delightful and complete interface to GitHub's amazing API  
-[https://ghapi.fast.ai/](https://ghapi.fast.ai/)  
-[https://github.com/fastai/ghapi](https://github.com/fastai/ghapi)  
-3.93 stars per week over 106 weeks  
-419 stars, 44 forks, 8 watches  
-[util](categories/util.md) category, created 2020-11-21, last commit 2022-09-27, main language Jupyter Notebook  
-<sub><sup>api-client, github, github-api, nbdev, openapi</sup></sub>
+### [maxvit](https://github.com/google-research/maxvit) by [google-research](https://github.com/google-research)  
+[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...  
+[https://github.com/google-research/maxvit](https://github.com/google-research/maxvit)  
+9.0 stars per week over 34 weeks  
+310 stars, 19 forks, 6 watches  
+[ml](categories/ml.md) category, created 2022-07-07, last commit 2022-10-23, main language Jupyter Notebook  
+<sub><sup>architecture, classification, cnn, computer-vision, image, image-processing, mlp, object-detection, resnet, segmentation, transformer, transformer-architecture, vision-transformer</sup></sub>
 
 
-### [dit](https://github.com/dit/dit)  
-dit: Python package for information theory.  
-[http://docs.dit.io](http://docs.dit.io)  
-[https://github.com/dit/dit](https://github.com/dit/dit)  
-0.87 stars per week over 479 weeks  
-415 stars, 77 forks, 24 watches  
-[math](categories/math.md) category, created 2013-09-29, last commit 2022-07-25, main language Python  
-<sub><sup>information-theory, python</sup></sub>
+### [FGVC](https://github.com/vt-vl-lab/fgvc) by [vt-vl-lab](https://github.com/vt-vl-lab)  
+FGVC: [ECCV 2020] Flow-edge Guided Video Completion   
+[https://github.com/vt-vl-lab/fgvc](https://github.com/vt-vl-lab/fgvc)  
+11 stars per week over 129 weeks  
+1,482 stars, 242 forks, 68 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-09-09, last commit 2021-12-14, main language Python  
 
 
-### [earthpy](https://github.com/earthlab/earthpy) by [earthlab](https://github.com/earthlab)  
-earthpy: A package built to support working with spatial data using open source python  
-[https://earthpy.readthedocs.io](https://earthpy.readthedocs.io)  
-[https://github.com/earthlab/earthpy](https://github.com/earthlab/earthpy)  
-1.64 stars per week over 250 weeks  
-409 stars, 149 forks, 22 watches  
-[gis](categories/gis.md) category, created 2018-02-20, last commit 2021-12-20, main language Python  
-<sub><sup>education, python, raster, spatial-data, vector</sup></sub>
+### [fastapi-boilerplate](https://github.com/rawheel/fastapi-boilerplate) by [rawheel](https://github.com/rawheel)  
+fastapi-boilerplate: Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀   
+[https://github.com/rawheel/fastapi-boilerplate](https://github.com/rawheel/fastapi-boilerplate)  
+11 stars per week over 9 weeks  
+110 stars, 10 forks, 1 watches  
+[web](categories/web.md) category, created 2022-12-28, last commit 2023-01-07, main language Python  
+<sub><sup>alembic, boilerplate, docker, docker-compose, fastapi, fastapi-boilerplate, fastapi-sqlalchemy, orm, poetry-python, postgresql, pydantic, python3, sqlalchemy, sqlalchemy-orm</sup></sub>
 
 
-### [bodywork-core](https://github.com/bodywork-ml/bodywork-core) by [bodywork-ml](https://github.com/bodywork-ml)  
-bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.  
-[https://bodywork.readthedocs.io/en/latest/](https://bodywork.readthedocs.io/en/latest/)  
-[https://github.com/bodywork-ml/bodywork-core](https://github.com/bodywork-ml/bodywork-core)  
-3.8 stars per week over 107 weeks  
-407 stars, 19 forks, 9 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-11-17, last commit 2022-07-04, main language Python  
-<sub><sup>batch, cicd, continuous-deployment, data-science, devops, framework, kubernetes, machine-learning, mlops, orchestration, pipeline, python, serving</sup></sub>
+### [bit](https://github.com/ofek/bit) by [ofek](https://github.com/ofek)  
+Bitcoin made easy.  
+[https://ofek.dev/bit/](https://ofek.dev/bit/)  
+[https://github.com/ofek/bit](https://github.com/ofek/bit)  
+3.44 stars per week over 329 weeks  
+1,131 stars, 188 forks, 48 watches  
+[crypto](categories/crypto.md) category, created 2016-11-12, last commit 2023-02-11, main language Python  
+<sub><sup>bitcoin, cryptocurrencies, libraries, payments, python</sup></sub>
 
 
-### [byt5](https://github.com/google-research/byt5) by [google-research](https://github.com/google-research)  
-google-research/byt5  
-[https://github.com/google-research/byt5](https://github.com/google-research/byt5)  
-5.04 stars per week over 80 weeks  
-403 stars, 25 forks, 11 watches  
-[nlp](categories/nlp.md) category, created 2021-05-26, last commit 2022-03-02, main language Python  
+### [whatlies](https://github.com/koaning/whatlies) by [koaning](https://github.com/koaning)  
+whatlies: Toolkit to help understand "what lies" in word embeddings. Also benchmarking!   
+[https://koaning.github.io/whatlies/](https://koaning.github.io/whatlies/)  
+[https://github.com/koaning/whatlies](https://github.com/koaning/whatlies)  
+2.86 stars per week over 158 weeks  
+452 stars, 50 forks, 14 watches  
+[nlp](categories/nlp.md) category, created 2020-02-22, last commit 2023-02-06, main language Python  
+<sub><sup>embeddings, nlp, visualisations</sup></sub>
 
 
-### [ethtx](https://github.com/ethtx/ethtx)  
-ethtx: Python package with core transaction decoding functions.  
-[https://www.ethtx.info](https://www.ethtx.info)  
-[https://github.com/ethtx/ethtx](https://github.com/ethtx/ethtx)  
-5.19 stars per week over 75 weeks  
-391 stars, 61 forks, 16 watches  
-[crypto](categories/crypto.md) category, created 2021-06-28, last commit 2022-12-01, main language Python  
+### [traceml](https://github.com/polyaxon/datatile) by [polyaxon](https://github.com/polyaxon)  
+traceml: Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.  
+[https://github.com/polyaxon/datatile](https://github.com/polyaxon/datatile)  
+1.27 stars per week over 362 weeks  
+461 stars, 40 forks, 13 watches  
+[pandas](categories/pandas.md) category, created 2016-03-25, last commit 2023-02-24, main language Python  
+<sub><sup>dask, data-exploration, data-profiling, data-quality, data-quality-checks, data-science, data-visualization, dataframes, dataops, explainable-ai, matplotlib, mlops, pandas, pandas-summary, plotly, pytorch, spark, statistics, tensorflow, tracking</sup></sub>
 
 
-### [nbval](https://github.com/computationalmodelling/nbval) by [computationalmodelling](https://github.com/computationalmodelling)  
-nbval: A py.test plugin to validate Jupyter notebooks  
-[https://github.com/computationalmodelling/nbval](https://github.com/computationalmodelling/nbval)  
-0.98 stars per week over 399 weeks  
-391 stars, 51 forks, 10 watches  
-[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2022-09-17, main language Python  
-<sub><sup>ipython-notebook, jupyter-notebook, pytest, pytest-plugin, python, testing</sup></sub>
+### [breaching](https://github.com/jonasgeiping/breaching) by [jonasgeiping](https://github.com/jonasgeiping)  
+Breaching privacy in federated learning scenarios for vision and text  
+[https://github.com/jonasgeiping/breaching](https://github.com/jonasgeiping/breaching)  
+2.69 stars per week over 54 weeks  
+147 stars, 32 forks, 3 watches  
+[ml](categories/ml.md) category, created 2022-02-15, last commit 2023-02-09, main language Python  
+<sub><sup>decentralized-learning, federated-learning, machine-learning, privacy-audit, pytorch, security</sup></sub>
 
 
-### [pebble](https://github.com/noxdafox/pebble) by [noxdafox](https://github.com/noxdafox)  
-pebble: Multi threading and processing eye-candy.  
-[https://github.com/noxdafox/pebble](https://github.com/noxdafox/pebble)  
-0.81 stars per week over 477 weeks  
-387 stars, 45 forks, 10 watches  
-[perf](categories/perf.md) category, created 2013-10-16, last commit 2022-11-15, main language Python  
-<sub><sup>asyncio, decorators, multiprocessing, pool, python, threading</sup></sub>
+### [ml-ane-transformers](https://github.com/apple/ml-ane-transformers) by [apple](https://github.com/apple)  
+ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)  
+[https://github.com/apple/ml-ane-transformers](https://github.com/apple/ml-ane-transformers)  
+15 stars per week over 39 weeks  
+600 stars, 31 forks, 34 watches  
+[ml](categories/ml.md) category, created 2022-06-03, last commit 2022-08-09, main language Python  
 
 
-### [fonduer](https://github.com/hazyresearch/fonduer) by [hazyresearch](https://github.com/hazyresearch)  
-fonduer: A knowledge base construction engine for richly formatted data  
-[https://fonduer.readthedocs.io/](https://fonduer.readthedocs.io/)  
-[https://github.com/hazyresearch/fonduer](https://github.com/hazyresearch/fonduer)  
-1.53 stars per week over 252 weeks  
-386 stars, 79 forks, 27 watches  
-[nlp](categories/nlp.md) category, created 2018-02-02, last commit 2021-06-23, main language Python  
-<sub><sup>knowledge-base-construction, machine-learning, multimodality</sup></sub>
+### [logzero](https://github.com/metachris/logzero) by [metachris](https://github.com/metachris)  
+logzero: Robust and effective logging for Python 2 and 3.  
+[https://logzero.readthedocs.io](https://logzero.readthedocs.io)  
+[https://github.com/metachris/logzero](https://github.com/metachris/logzero)  
+3.45 stars per week over 298 weeks  
+1,030 stars, 69 forks, 26 watches  
+[util](categories/util.md) category, created 2017-06-12, last commit 2021-03-17, main language Python  
+<sub><sup>logfiles, logging, logzero, python</sup></sub>
 
 
-### [File-Injector](https://github.com/carlospuenteg/file-injector) by [carlospuenteg](https://github.com/carlospuenteg)  
-File-Injector: File Injector is a script that allows you to store any file in an image using steganography  
-[https://github.com/carlospuenteg/file-injector](https://github.com/carlospuenteg/file-injector)  
-57 stars per week over 6 weeks  
-380 stars, 17 forks, 6 watches  
-[util](categories/util.md) category, created 2022-10-22, last commit 2022-11-18, main language Python  
-<sub><sup>extraction, file, file-injection, file-injector, files, image, image-manipulation, image-processing, injection, noise, numpy, photography, python, python3, steganography, storage</sup></sub>
+### [ai-economist](https://github.com/salesforce/ai-economist) by [salesforce](https://github.com/salesforce)  
+ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).  
+[https://www.einstein.ai/the-ai-economist](https://www.einstein.ai/the-ai-economist)  
+[https://github.com/salesforce/ai-economist](https://github.com/salesforce/ai-economist)  
+6.81 stars per week over 139 weeks  
+949 stars, 194 forks, 46 watches  
+[sim](categories/sim.md) category, created 2020-07-02, last commit 2022-05-09, main language Python  
+<sub><sup>ai, deep-reinforcement-learning, economics, ml, multi-agent, multi-agent-reinforcement-learning, python-3, reinforcement-learning-environments, simulation-framework</sup></sub>
 
 
-### [python-dialogflow](https://github.com/dialogflow/dialogflow-python-client-v2) by [dialogflow](https://github.com/dialogflow)  
-python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.  
-[https://dialogflow.com/](https://dialogflow.com/)  
-[https://github.com/dialogflow/dialogflow-python-client-v2](https://github.com/dialogflow/dialogflow-python-client-v2)  
-1.41 stars per week over 267 weeks  
-378 stars, 146 forks, 53 watches  
-[nlp](categories/nlp.md) category, created 2017-10-24, last commit 2022-11-26, main language Python  
-<sub><sup>dialogflow, machine-learning, python</sup></sub>
+### [odin](https://github.com/python-odin/odin) by [python-odin](https://github.com/python-odin)  
+odin: Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python  
+[https://odin.readthedocs.org/en/latest/](https://odin.readthedocs.org/en/latest/)  
+[https://github.com/python-odin/odin](https://github.com/python-odin/odin)  
+0.06 stars per week over 497 weeks  
+29 stars, 7 forks, 3 watches  
+[util](categories/util.md) category, created 2013-08-20, last commit 2023-02-26, main language Python  
+<sub><sup>csv, data-mapping, data-structures, de-serialize, json, msgpack, python, serialize, validation, xml, yaml</sup></sub>
 
 
-### [pecos](https://github.com/amzn/pecos) by [amzn](https://github.com/amzn)  
-PECOS - Prediction for Enormous and Correlated Spaces  
-[https://libpecos.org/](https://libpecos.org/)  
-[https://github.com/amzn/pecos](https://github.com/amzn/pecos)  
-3.09 stars per week over 121 weeks  
-374 stars, 84 forks, 18 watches  
-[ml](categories/ml.md) category, created 2020-08-12, last commit 2022-12-03, main language Python  
-<sub><sup>approximate-nearest-neighbor-search, extreme-multi-label-classification, extreme-multi-label-ranking, machine-learning-algorithms, transformers</sup></sub>
+### [ion-python](https://github.com/amzn/ion-python) by [amzn](https://github.com/amzn)  
+ion-python: A Python implementation of Amazon Ion.  
+[https://amazon-ion.github.io/ion-docs/](https://amazon-ion.github.io/ion-docs/)  
+[https://github.com/amzn/ion-python](https://github.com/amzn/ion-python)  
+0.62 stars per week over 360 weeks  
+223 stars, 49 forks, 25 watches  
+[data](categories/data.md) category, created 2016-04-07, last commit 2023-02-14, main language Python  
 
 
-### [reclist](https://github.com/jacopotagliabue/reclist) by [jacopotagliabue](https://github.com/jacopotagliabue)  
-reclist: Behavioral "black-box" testing for recommender systems  
-[https://github.com/jacopotagliabue/reclist](https://github.com/jacopotagliabue/reclist)  
-6.56 stars per week over 56 weeks  
-369 stars, 19 forks, 8 watches  
-[ml](categories/ml.md) category, created 2021-11-08, last commit 2022-11-03, main language Python  
-<sub><sup>machine-learning, qa-automation, recommender-system</sup></sub>
+### [pysnyk](https://github.com/snyk-labs/pysnyk) by [snyk-labs](https://github.com/snyk-labs)  
+pysnyk: A Python client for the Snyk API.  
+[https://snyk.docs.apiary.io/](https://snyk.docs.apiary.io/)  
+[https://github.com/snyk-labs/pysnyk](https://github.com/snyk-labs/pysnyk)  
+0.25 stars per week over 213 weeks  
+53 stars, 95 forks, 10 watches  
+[security](categories/security.md) category, created 2019-02-03, last commit 2023-01-20, main language Python  
+<sub><sup>api, python, snyk</sup></sub>
 
 
-### [contextily](https://github.com/geopandas/contextily) by [geopandas](https://github.com/geopandas)  
-contextily: Context geo-tiles in Python  
-[https://contextily.readthedocs.io/en/latest/](https://contextily.readthedocs.io/en/latest/)  
-[https://github.com/geopandas/contextily](https://github.com/geopandas/contextily)  
-1.12 stars per week over 325 weeks  
-366 stars, 66 forks, 14 watches  
-[gis](categories/gis.md) category, created 2016-09-08, last commit 2022-11-30, main language Jupyter Notebook  
-<sub><sup>cartography, geography, mapping, matplotlib, openstreetmap, osm, python, stamen, stamen-maps, tile, tiles, webtiles</sup></sub>
+### [advertorch](https://github.com/borealisai/advertorch) by [borealisai](https://github.com/borealisai)  
+advertorch: A Toolbox for Adversarial Robustness Research  
+[https://github.com/borealisai/advertorch](https://github.com/borealisai/advertorch)  
+5.13 stars per week over 222 weeks  
+1,141 stars, 180 forks, 27 watches  
+[ml](categories/ml.md) category, created 2018-11-29, last commit 2022-05-29, main language Jupyter Notebook  
+<sub><sup>adversarial-attacks, adversarial-example, adversarial-examples, adversarial-learning, adversarial-machine-learning, adversarial-perturbations, benchmarking, machine-learning, pytorch, robustness, security, toolbox</sup></sub>
 
 
-### [opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib) by [open-telemetry](https://github.com/open-telemetry)  
-opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules  
-[https://opentelemetry.io](https://opentelemetry.io)  
-[https://github.com/open-telemetry/opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib)  
-2.26 stars per week over 160 weeks  
-363 stars, 275 forks, 14 watches  
-[util](categories/util.md) category, created 2019-11-08, last commit 2022-12-06, main language Python  
+### [httptools](https://github.com/magicstack/httptools) by [magicstack](https://github.com/magicstack)  
+httptools: Fast HTTP parser  
+[https://github.com/magicstack/httptools](https://github.com/magicstack/httptools)  
+3.05 stars per week over 357 weeks  
+1,092 stars, 71 forks, 40 watches  
+[web](categories/web.md) category, created 2016-04-25, last commit 2022-09-13, main language Python  
 
 
-### [rio-tiler](https://github.com/cogeotiff/rio-tiler) by [cogeotiff](https://github.com/cogeotiff)  
-rio-tiler: User friendly Rasterio plugin to read raster datasets.  
-[https://cogeotiff.github.io/rio-tiler/](https://cogeotiff.github.io/rio-tiler/)  
-[https://github.com/cogeotiff/rio-tiler](https://github.com/cogeotiff/rio-tiler)  
-1.34 stars per week over 269 weeks  
-362 stars, 84 forks, 65 watches  
-[gis](categories/gis.md) category, created 2017-10-06, last commit 2022-11-28, main language Python  
-<sub><sup>cog, cogeotiff, gdal, maptile, mercator, raster, raster-processing, rasterio, satellite, slippy-map, tile</sup></sub>
+### [textstat](https://github.com/shivam5992/textstat) by [shivam5992](https://github.com/shivam5992)  
+textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.  
+[https://textstat.org](https://textstat.org)  
+[https://github.com/shivam5992/textstat](https://github.com/shivam5992/textstat)  
+2.03 stars per week over 454 weeks  
+924 stars, 148 forks, 17 watches  
+[nlp](categories/nlp.md) category, created 2014-06-18, last commit 2022-07-08, main language Python  
+<sub><sup>flesch-kincaid-grade, flesch-reading-ease, python, readability, smog, textstat</sup></sub>
 
 
-### [tfcausalimpact](https://github.com/willianfuks/tfcausalimpact) by [willianfuks](https://github.com/willianfuks)  
-tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.  
-[https://github.com/willianfuks/tfcausalimpact](https://github.com/willianfuks/tfcausalimpact)  
-3.0 stars per week over 120 weeks  
-361 stars, 49 forks, 9 watches  
-[math](categories/math.md) category, created 2020-08-17, last commit 2022-10-07, main language Python  
-<sub><sup>causal-inference, causalimpact, python, tensorflow-probability</sup></sub>
+### [AutoProfiler](https://github.com/cmudig/autoprofiler) by [cmudig](https://github.com/cmudig)  
+AutoProfiler: Automatically profile dataframes in the Jupyter sidebar  
+[https://github.com/cmudig/autoprofiler](https://github.com/cmudig/autoprofiler)  
+1.9 stars per week over 49 weeks  
+94 stars, 5 forks, 1 watches  
+[jupyter](categories/jupyter.md) category, created 2022-03-24, last commit 2023-02-28, main language Svelte  
+<sub><sup>jupyter, pandas, python</sup></sub>
 
 
-### [pypy](https://github.com/mozillazg/pypy) by [mozillazg](https://github.com/mozillazg)  
-pypy: The unofficial GitHub mirror of PyPy  
-[https://foss.heptapod.net/pypy/pypy](https://foss.heptapod.net/pypy/pypy)  
-[https://github.com/mozillazg/pypy](https://github.com/mozillazg/pypy)  
-0.93 stars per week over 383 weeks  
-358 stars, 57 forks, 11 watches  
-[util](categories/util.md) category, created 2015-08-03, last commit 2022-12-06, main language Python  
-<sub><sup>github-mirror, pypy, read-only-repository, unofficial, unofficial-mirror</sup></sub>
+### [pandas_flavor](https://github.com/zsailer/pandas_flavor) by [zsailer](https://github.com/zsailer)  
+pandas_flavor: The easy way to write your own flavor of Pandas  
+[https://zsailer.github.io/software/pandas-flavor/](https://zsailer.github.io/software/pandas-flavor/)  
+[https://github.com/zsailer/pandas_flavor](https://github.com/zsailer/pandas_flavor)  
+1.02 stars per week over 266 weeks  
+273 stars, 17 forks, 11 watches  
+[pandas](categories/pandas.md) category, created 2018-01-25, last commit 2023-02-03, main language Python  
+<sub><sup>pandas</sup></sub>
 
 
-### [pygeos](https://github.com/pygeos/pygeos)  
-pygeos: Wraps GEOS geometry functions in numpy ufuncs.  
-[https://pygeos.readthedocs.io](https://pygeos.readthedocs.io)  
-[https://github.com/pygeos/pygeos](https://github.com/pygeos/pygeos)  
-1.96 stars per week over 182 weeks  
-358 stars, 37 forks, 15 watches  
-[gis](categories/gis.md) category, created 2019-06-10, last commit 2022-08-25, main language Python  
+### [NeuroNER](https://github.com/franck-dernoncourt/neuroner) by [franck-dernoncourt](https://github.com/franck-dernoncourt)  
+NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.  
+[http://neuroner.com](http://neuroner.com)  
+[https://github.com/franck-dernoncourt/neuroner](https://github.com/franck-dernoncourt/neuroner)  
+5.26 stars per week over 312 weeks  
+1,646 stars, 485 forks, 84 watches  
+[nlp](categories/nlp.md) category, created 2017-03-07, last commit 2019-10-02, main language Python  
+<sub><sup>deep-learning, machine-learning, named-entity-recognition, neural-networks, nlp, tensorflow</sup></sub>
 
 
-### [FastTreeSHAP](https://github.com/linkedin/fasttreeshap) by [linkedin](https://github.com/linkedin)  
-FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models  
-[https://github.com/linkedin/fasttreeshap](https://github.com/linkedin/fasttreeshap)  
-7.82 stars per week over 45 weeks  
-354 stars, 22 forks, 6 watches  
-[ml](categories/ml.md) category, created 2022-01-24, last commit 2022-11-29, main language Python  
-<sub><sup>explainable-ai, interpretability, lightgbm, machine-learning, random-forest, shap, xgboost</sup></sub>
+### [pyflux](https://github.com/rjt1990/pyflux) by [rjt1990](https://github.com/rjt1990)  
+pyflux: Open source time series library for Python  
+[https://github.com/rjt1990/pyflux](https://github.com/rjt1990/pyflux)  
+5.47 stars per week over 367 weeks  
+2,013 stars, 236 forks, 70 watches  
+[time-series](categories/time-series.md) category, created 2016-02-16, last commit 2018-12-16, main language Python  
+<sub><sup>statistics, time-series</sup></sub>
 
 
-### [STTN](https://github.com/researchmm/sttn) by [researchmm](https://github.com/researchmm)  
-[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting  
-[https://arxiv.org/abs/2007.10247](https://arxiv.org/abs/2007.10247)  
-[https://github.com/researchmm/sttn](https://github.com/researchmm/sttn)  
-2.82 stars per week over 125 weeks  
-354 stars, 69 forks, 20 watches  
-[ml-dl](categories/ml-dl.md) category, created 2020-07-10, last commit 2021-07-26, main language Jupyter Notebook  
-<sub><sup>completing-videos, spatial-temporal, transformer, video-inpainting</sup></sub>
+### [bodywork-core](https://github.com/bodywork-ml/bodywork-core) by [bodywork-ml](https://github.com/bodywork-ml)  
+bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.  
+[https://bodywork.readthedocs.io/en/latest/](https://bodywork.readthedocs.io/en/latest/)  
+[https://github.com/bodywork-ml/bodywork-core](https://github.com/bodywork-ml/bodywork-core)  
+3.45 stars per week over 119 weeks  
+413 stars, 19 forks, 9 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-11-17, last commit 2022-07-04, main language Python  
+<sub><sup>batch, cicd, continuous-deployment, data-science, devops, framework, kubernetes, machine-learning, mlops, orchestration, pipeline, python, serving</sup></sub>
 
 
-### [scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
-scikit-geometry: Scientific Python Geometric Algorithms Library  
-[https://scikit-geometry.github.io/scikit-geometry](https://scikit-geometry.github.io/scikit-geometry)  
-[https://github.com/scikit-geometry/scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
-1.01 stars per week over 349 weeks  
-354 stars, 47 forks, 13 watches  
-[gis](categories/gis.md) category, created 2016-03-28, last commit 2022-10-14, main language Jupyter Notebook  
-<sub><sup>cgal, geometric-algorithms, geometry, python, wrapper</sup></sub>
+### [pyql](https://github.com/enthought/pyql) by [enthought](https://github.com/enthought)  
+pyql: Cython QuantLib wrappers  
+[https://github.com/enthought/pyql](https://github.com/enthought/pyql)  
+1.33 stars per week over 573 weeks  
+761 stars, 176 forks, 105 watches  
+[finance](categories/finance.md) category, created 2012-03-08, last commit 2023-03-04, main language Cython  
+<sub><sup>cython, quantlib</sup></sub>
 
 
-### [git-re-basin](https://github.com/samuela/git-re-basin) by [samuela](https://github.com/samuela)  
-git-re-basin: Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"  
-[https://arxiv.org/abs/2209.04836](https://arxiv.org/abs/2209.04836)  
-[https://github.com/samuela/git-re-basin](https://github.com/samuela/git-re-basin)  
-28 stars per week over 12 weeks  
-344 stars, 27 forks, 4 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-09-13, last commit 2022-10-12, main language Python  
-<sub><sup>deep-learning, deeplearning, jax, machine-learning, neural-networks</sup></sub>
+### [pystan](https://github.com/stan-dev/pystan) by [stan-dev](https://github.com/stan-dev)  
+PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io  
+[https://github.com/stan-dev/pystan](https://github.com/stan-dev/pystan)  
+0.85 stars per week over 285 weeks  
+243 stars, 46 forks, 13 watches  
+[ml](categories/ml.md) category, created 2017-09-17, last commit 2022-11-26, main language Python  
 
 
-### [axcell](https://github.com/paperswithcode/axcell) by [paperswithcode](https://github.com/paperswithcode)  
-axcell: Tools for extracting tables and results from Machine Learning papers  
-[https://github.com/paperswithcode/axcell](https://github.com/paperswithcode/axcell)  
-1.91 stars per week over 179 weeks  
-343 stars, 51 forks, 13 watches  
-[util](categories/util.md) category, created 2019-06-27, last commit 2021-06-23, main language Python  
+### [segno](https://github.com/heuer/segno) by [heuer](https://github.com/heuer)  
+segno: Python QR Code and Micro QR Code encoder  
+[https://pypi.org/project/segno/](https://pypi.org/project/segno/)  
+[https://github.com/heuer/segno](https://github.com/heuer/segno)  
+1.13 stars per week over 343 weeks  
+387 stars, 42 forks, 11 watches  
+[util](categories/util.md) category, created 2016-08-04, last commit 2022-12-10, main language Python  
+<sub><sup>barcode, iso-18004, matrix-barcode, micro-qr-code, micro-qrcode, python, python-qrcode, qr-code, qr-generator, qrcode, segno, structured-append</sup></sub>
 
 
-### [momepy](https://github.com/pysal/momepy) by [pysal](https://github.com/pysal)  
-momepy: Urban Morphology Measuring Toolkit  
-[https://docs.momepy.org](https://docs.momepy.org)  
-[https://github.com/pysal/momepy](https://github.com/pysal/momepy)  
-1.39 stars per week over 244 weeks  
-341 stars, 46 forks, 16 watches  
-[gis](categories/gis.md) category, created 2018-03-30, last commit 2022-10-17, main language Python  
-<sub><sup>morphological-analysis, morphology, morphometrics, urban, urban-morphometrics, urban-street-networks</sup></sub>
+### [magnitude](https://github.com/plasticityai/magnitude) by [plasticityai](https://github.com/plasticityai)  
+magnitude: A fast, efficient universal vector embedding utility package.  
+[https://github.com/plasticityai/magnitude](https://github.com/plasticityai/magnitude)  
+5.95 stars per week over 262 weeks  
+1,560 stars, 113 forks, 37 watches  
+[nlp](categories/nlp.md) category, created 2018-02-24, last commit 2020-07-17, main language Python  
+<sub><sup>embeddings, fast, fasttext, gensim, glove, machine-learning, machine-learning-library, memory-efficient, natural-language-processing, nlp, python, vectors, word-embeddings, word2vec</sup></sub>
 
 
-### [dashing](https://github.com/federicoceratto/dashing) by [federicoceratto](https://github.com/federicoceratto)  
-dashing: Terminal dashboards for Python  
-[https://dashing.readthedocs.io/en/latest/](https://dashing.readthedocs.io/en/latest/)  
-[https://github.com/federicoceratto/dashing](https://github.com/federicoceratto/dashing)  
-1.17 stars per week over 287 weeks  
-337 stars, 30 forks, 9 watches  
-[term](categories/term.md) category, created 2017-06-03, last commit 2020-09-06, main language Python  
-<sub><sup>charts, dashboard, gauges, python, python3, terminal, terminal-based</sup></sub>
+### [jake](https://github.com/sonatype-nexus-community/jake) by [sonatype-nexus-community](https://github.com/sonatype-nexus-community)  
+jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.  
+[https://jake.readthedocs.io/](https://jake.readthedocs.io/)  
+[https://github.com/sonatype-nexus-community/jake](https://github.com/sonatype-nexus-community/jake)  
+0.45 stars per week over 177 weeks  
+80 stars, 21 forks, 8 watches  
+[security](categories/security.md) category, created 2019-10-10, last commit 2023-02-22, main language Python  
+<sub><sup>nexus-iq, ossindex, python, sonatype-iq, vulnerabilities, vulnerability-scanners</sup></sub>
 
 
-### [dask-geopandas](https://github.com/geopandas/dask-geopandas) by [geopandas](https://github.com/geopandas)  
-dask-geopandas: Parallel GeoPandas with Dask  
-[https://dask-geopandas.readthedocs.io/](https://dask-geopandas.readthedocs.io/)  
-[https://github.com/geopandas/dask-geopandas](https://github.com/geopandas/dask-geopandas)  
-2.29 stars per week over 146 weeks  
-336 stars, 32 forks, 23 watches  
-[gis](categories/gis.md) category, created 2020-02-13, last commit 2022-08-28, main language Python  
+### [pymdp](https://github.com/infer-actively/pymdp) by [infer-actively](https://github.com/infer-actively)  
+pymdp: A Python implementation of active inference for Markov Decision Processes  
+[https://github.com/infer-actively/pymdp](https://github.com/infer-actively/pymdp)  
+1.44 stars per week over 170 weeks  
+245 stars, 38 forks, 24 watches  
+[ml](categories/ml.md) category, created 2019-11-27, last commit 2022-12-08, main language Python  
 
 
-### [m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test) by [mrdbourke](https://github.com/mrdbourke)  
-m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.  
-[https://github.com/mrdbourke/m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test)  
-6.06 stars per week over 55 weeks  
-336 stars, 99 forks, 12 watches  
-[ml](categories/ml.md) category, created 2021-11-14, last commit 2022-07-16, main language Jupyter Notebook  
-<sub><sup>machine-learning, metal, tensorflow, tensorflow-macos</sup></sub>
+### [spherely](https://github.com/benbovy/spherely) by [benbovy](https://github.com/benbovy)  
+spherely: Manipulation and analysis of geometric objects on the sphere.  
+[https://spherely.readthedocs.io/](https://spherely.readthedocs.io/)  
+[https://github.com/benbovy/spherely](https://github.com/benbovy/spherely)  
+5.68 stars per week over 14 weeks  
+82 stars, 2 forks, 4 watches  
+[gis](categories/gis.md) category, created 2022-11-24, last commit 2023-01-12, main language C++  
 
 
-### [testbook](https://github.com/nteract/testbook) by [nteract](https://github.com/nteract)  
-testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way  
-[https://testbook.readthedocs.io](https://testbook.readthedocs.io)  
-[https://github.com/nteract/testbook](https://github.com/nteract/testbook)  
-2.31 stars per week over 145 weeks  
-335 stars, 34 forks, 15 watches  
-[jupyter](categories/jupyter.md) category, created 2020-02-26, last commit 2022-11-29, main language Python  
-<sub><sup>jupyter-notebook, nteract, pytest, python, testbook, unit-testing</sup></sub>
+### [empyrical](https://github.com/quantopian/empyrical) by [quantopian](https://github.com/quantopian)  
+empyrical: Common financial risk and performance metrics. Used by zipline and pyfolio.  
+[https://quantopian.github.io/empyrical](https://quantopian.github.io/empyrical)  
+[https://github.com/quantopian/empyrical](https://github.com/quantopian/empyrical)  
+2.85 stars per week over 363 weeks  
+1,034 stars, 339 forks, 72 watches  
+[finance](categories/finance.md) category, created 2016-03-18, last commit 2020-10-14, main language Python  
 
 
-### [mercantile](https://github.com/mapbox/mercantile) by [mapbox](https://github.com/mapbox)  
-mercantile: Spherical mercator tile and coordinate utilities  
-[https://github.com/mapbox/mercantile](https://github.com/mapbox/mercantile)  
-0.73 stars per week over 460 weeks  
-334 stars, 62 forks, 117 watches  
-[gis](categories/gis.md) category, created 2014-02-12, last commit 2021-10-22, main language Python  
-<sub><sup>imagery, pxm, satellite</sup></sub>
+### [xyzservices](https://github.com/geopandas/xyzservices) by [geopandas](https://github.com/geopandas)  
+xyzservices: Source of XYZ tiles providers  
+[https://xyzservices.readthedocs.io/](https://xyzservices.readthedocs.io/)  
+[https://github.com/geopandas/xyzservices](https://github.com/geopandas/xyzservices)  
+0.93 stars per week over 93 weeks  
+87 stars, 19 forks, 11 watches  
+[gis](categories/gis.md) category, created 2021-05-21, last commit 2023-03-01, main language Python  
 
 
-### [rioxarray](https://github.com/corteva/rioxarray) by [corteva](https://github.com/corteva)  
-rioxarray: geospatial xarray extension powered by rasterio  
-[https://corteva.github.io/rioxarray](https://corteva.github.io/rioxarray)  
-[https://github.com/corteva/rioxarray](https://github.com/corteva/rioxarray)  
-1.75 stars per week over 190 weeks  
-333 stars, 56 forks, 12 watches  
-[gis](categories/gis.md) category, created 2019-04-16, last commit 2022-11-29, main language Python  
-<sub><sup>gdal, geospatial, gis, hacktoberfest, netcdf, python, raster, rasterio, xarray</sup></sub>
+### [mordecai](https://github.com/openeventdata/mordecai) by [openeventdata](https://github.com/openeventdata)  
+mordecai: Full text geoparsing as a Python library  
+[https://github.com/openeventdata/mordecai](https://github.com/openeventdata/mordecai)  
+1.99 stars per week over 349 weeks  
+694 stars, 93 forks, 36 watches  
+[gis](categories/gis.md) category, created 2016-06-23, last commit 2021-02-01, main language Python  
+<sub><sup>geocoding, geonames, geoparsing, nlp, spacy, toponym-resolution</sup></sub>
 
 
-### [psaw](https://github.com/dmarx/psaw) by [dmarx](https://github.com/dmarx)  
-psaw: Python Pushshift.io API Wrapper (for comment/submission search)  
-[https://github.com/dmarx/psaw](https://github.com/dmarx/psaw)  
-1.37 stars per week over 242 weeks  
-331 stars, 45 forks, 9 watches  
-[data](categories/data.md) category, created 2018-04-15, last commit 2022-07-09, main language Python  
+### [watermark](https://github.com/rasbt/watermark) by [rasbt](https://github.com/rasbt)  
+watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information  
+[https://github.com/rasbt/watermark](https://github.com/rasbt/watermark)  
+1.71 stars per week over 448 weeks  
+768 stars, 82 forks, 13 watches  
+[util](categories/util.md) category, created 2014-07-30, last commit 2022-09-13, main language Python  
+<sub><sup>ipython, jupyter, magic-extension, python</sup></sub>
 
 
-### [python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser) by [sciunto-org](https://github.com/sciunto-org)  
-python-bibtexparser: Bibtex parser for Python 3  
-[https://bibtexparser.readthedocs.io](https://bibtexparser.readthedocs.io)  
-[https://github.com/sciunto-org/python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser)  
-0.64 stars per week over 517 weeks  
-330 stars, 116 forks, 16 watches  
-[util](categories/util.md) category, created 2013-01-05, last commit 2022-10-20, main language Python  
-<sub><sup>bibtex, bibtex-files, hacktoberfest2022, latex, python</sup></sub>
+### [bamboolib](https://github.com/tkrabel/bamboolib) by [tkrabel](https://github.com/tkrabel)  
+bamboolib - a GUI for pandas DataFrames  
+[https://bamboolib.com](https://bamboolib.com)  
+[https://github.com/tkrabel/bamboolib](https://github.com/tkrabel/bamboolib)  
+4.5 stars per week over 196 weeks  
+884 stars, 95 forks, 31 watches  
+[pandas](categories/pandas.md) category, created 2019-05-29, last commit 2022-09-27, main language Jupyter Notebook  
+<sub><sup>jupyter-notebook, jupyterlab, pandas, pandas-dataframes, python</sup></sub>
 
 
-### [warp-drive](https://github.com/salesforce/warp-drive) by [salesforce](https://github.com/salesforce)  
-warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU  
-[https://github.com/salesforce/warp-drive](https://github.com/salesforce/warp-drive)  
-4.9 stars per week over 67 weeks  
-328 stars, 57 forks, 12 watches  
-[ml](categories/ml.md) category, created 2021-08-25, last commit 2022-12-02, main language Python  
-<sub><sup>cuda, deep-learning, gpu, high-throughput, multiagent-reinforcement-learning, numba, pytorch, reinforcement-learning</sup></sub>
+### [radiant-mlhub](https://github.com/radiantearth/radiant-mlhub) by [radiantearth](https://github.com/radiantearth)  
+radiant-mlhub: A Python client for the Radiant MLHub API (https://mlhub.earth).  
+[https://radiant-mlhub.readthedocs.io/](https://radiant-mlhub.readthedocs.io/)  
+[https://github.com/radiantearth/radiant-mlhub](https://github.com/radiantearth/radiant-mlhub)  
+0.37 stars per week over 124 weeks  
+46 stars, 10 forks, 5 watches  
+[gis](categories/gis.md) category, created 2020-10-13, last commit 2023-02-13, main language Python  
+<sub><sup>machine-learning, python, python-3, python-client, satellite-imagery, stac</sup></sub>
 
 
-### [stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20) by [rasbt](https://github.com/rasbt)  
-stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)  
-[https://github.com/rasbt/stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20)  
-2.68 stars per week over 121 weeks  
-326 stars, 177 forks, 18 watches  
-[study](categories/study.md) category, created 2020-08-06, last commit 2020-12-03, main language Jupyter Notebook  
+### [nodevectors](https://github.com/vhranger/nodevectors) by [vhranger](https://github.com/vhranger)  
+nodevectors: Fastest network node embeddings in the west  
+[https://github.com/vhranger/nodevectors](https://github.com/vhranger/nodevectors)  
+2.43 stars per week over 188 weeks  
+458 stars, 53 forks, 11 watches  
+[viz](categories/viz.md) category, created 2019-07-25, last commit 2021-11-06, main language Python  
 
 
-### [gefyra](https://github.com/gefyrahq/gefyra) by [gefyrahq](https://github.com/gefyrahq)  
-gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.  
-[https://gefyra.dev](https://gefyra.dev)  
-[https://github.com/gefyrahq/gefyra](https://github.com/gefyrahq/gefyra)  
-5.94 stars per week over 54 weeks  
-326 stars, 22 forks, 6 watches  
-[util](categories/util.md) category, created 2021-11-18, last commit 2022-11-27, main language Python  
-<sub><sup>coding, containers, developer-tool, development, docker, k8s, kubernetes, tunnel</sup></sub>
+### [findatapy](https://github.com/cuemacro/findatapy) by [cuemacro](https://github.com/cuemacro)  
+findatapy: Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.  
+[https://github.com/cuemacro/findatapy](https://github.com/cuemacro/findatapy)  
+3.78 stars per week over 343 weeks  
+1,297 stars, 183 forks, 91 watches  
+[finance](categories/finance.md) category, created 2016-08-03, last commit 2022-08-24, main language Python  
+<sub><sup>arctic, bloomberg, dukascopy, eikon, fred, market-data, python-api, quandl</sup></sub>
 
 
-### [BookCode_Edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1) by [bayesianmodelingandcomputationinpython](https://github.com/bayesianmodelingandcomputationinpython)  
-bayesianmodelingandcomputationinpython/bookcode_edition1  
-[https://www.bayesiancomputationbook.com](https://www.bayesiancomputationbook.com)  
-[https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1)  
-4.75 stars per week over 68 weeks  
-324 stars, 75 forks, 13 watches  
-[study](categories/study.md) category, created 2021-08-17, last commit 2022-09-20, main language Jupyter Notebook  
+### [eth-utils](https://github.com/ethereum/eth-utils) by [ethereum](https://github.com/ethereum)  
+eth-utils: Utility functions for working with ethereum related codebases.  
+[https://eth-utils.readthedocs.io/en/latest/](https://eth-utils.readthedocs.io/en/latest/)  
+[https://github.com/ethereum/eth-utils](https://github.com/ethereum/eth-utils)  
+0.85 stars per week over 316 weeks  
+270 stars, 141 forks, 18 watches  
+[crypto](categories/crypto.md) category, created 2017-02-07, last commit 2022-11-17, main language Python  
+<sub><sup>ethereum, python, utility-library</sup></sub>
 
 
-### [fairing](https://github.com/kubeflow/fairing) by [kubeflow](https://github.com/kubeflow)  
-fairing: Python SDK for building, training, and deploying ML models  
-[https://github.com/kubeflow/fairing](https://github.com/kubeflow/fairing)  
-1.46 stars per week over 222 weeks  
-324 stars, 146 forks, 40 watches  
-[ml-ops](categories/ml-ops.md) category, created 2018-09-03, last commit 2021-08-26, main language Jsonnet  
+### [pyminiaudio](https://github.com/irmen/pyminiaudio) by [irmen](https://github.com/irmen)  
+pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library  
+[https://github.com/irmen/pyminiaudio](https://github.com/irmen/pyminiaudio)  
+0.68 stars per week over 192 weeks  
+130 stars, 16 forks, 3 watches  
+[util](categories/util.md) category, created 2019-06-30, last commit 2023-02-09, main language C  
 
 
-### [python-blosc](https://github.com/blosc/python-blosc) by [blosc](https://github.com/blosc)  
-python-blosc: A Python wrapper for the extremely fast Blosc compression library   
-[https://www.blosc.org/python-blosc/python-blosc.html](https://www.blosc.org/python-blosc/python-blosc.html)  
-[https://github.com/blosc/python-blosc](https://github.com/blosc/python-blosc)  
-0.51 stars per week over 635 weeks  
-322 stars, 75 forks, 12 watches  
-[perf](categories/perf.md) category, created 2010-09-30, last commit 2022-11-10, main language C  
-<sub><sup>blosc, compression, python, wrapper</sup></sub>
+### [enlighten](https://github.com/rockhopper-technologies/enlighten) by [rockhopper-technologies](https://github.com/rockhopper-technologies)  
+Enlighten Progress Bar for Python Console Apps  
+[https://python-enlighten.readthedocs.io](https://python-enlighten.readthedocs.io)  
+[https://github.com/rockhopper-technologies/enlighten](https://github.com/rockhopper-technologies/enlighten)  
+0.98 stars per week over 284 weeks  
+278 stars, 19 forks, 4 watches  
+[term](categories/term.md) category, created 2017-09-22, last commit 2023-02-04, main language Python  
+<sub><sup>python</sup></sub>
 
 
-### [DeepForest](https://github.com/weecology/deepforest) by [weecology](https://github.com/weecology)  
-DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery  
-[https://deepforest.readthedocs.io/](https://deepforest.readthedocs.io/)  
-[https://github.com/weecology/deepforest](https://github.com/weecology/deepforest)  
-1.29 stars per week over 248 weeks  
-319 stars, 120 forks, 15 watches  
-[gis](categories/gis.md) category, created 2018-03-07, last commit 2022-12-02, main language JavaScript  
+### [basana](https://github.com/gbeced/basana) by [gbeced](https://github.com/gbeced)  
+basana: A Python event driven framework for algorithmic trading, with a focus on crypto currencies.  
+[https://github.com/gbeced/basana](https://github.com/gbeced/basana)  
+14 stars per week over 0 weeks  
+2 stars, 0 forks, 1 watches  
+[finance](categories/finance.md) category, created 2023-03-04, last commit 2023-03-05, main language Python  
 
 
-### [OWSLib](https://github.com/geopython/owslib) by [geopython](https://github.com/geopython)  
-OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.  
-[https://geopython.github.io/OWSLib](https://geopython.github.io/OWSLib)  
-[https://github.com/geopython/owslib](https://github.com/geopython/owslib)  
-0.55 stars per week over 568 weeks  
-313 stars, 257 forks, 31 watches  
-[gis](categories/gis.md) category, created 2012-01-13, last commit 2022-12-03, main language Python  
+### [torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler) by [kshitij12345](https://github.com/kshitij12345)  
+torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module  
+[https://github.com/kshitij12345/torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler)  
+3.92 stars per week over 19 weeks  
+75 stars, 3 forks, 4 watches  
+[profiling](categories/profiling.md) category, created 2022-10-22, last commit 2022-11-02, main language Python  
 
 
-### [keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models) by [leondgarse](https://github.com/leondgarse)  
-keras_cv_attention_models: Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,gcvit,ghostnetv2,gmlp,halonet,hornet,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox  
-[https://github.com/leondgarse/keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models)  
-4.37 stars per week over 70 weeks  
-307 stars, 49 forks, 16 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-08-02, last commit 2022-12-04, main language Python  
-<sub><sup>anchor-free, attention, coco, detection, imagenet, keras, model, recognition, tensorflow, tf, tf2, visualizing</sup></sub>
+### [ethtx_ce](https://github.com/ethtx/ethtx_ce) by [ethtx](https://github.com/ethtx)  
+ethtx_ce: Ethereum transaction decoder (community version).  
+[https://ethtx.info](https://ethtx.info)  
+[https://github.com/ethtx/ethtx_ce](https://github.com/ethtx/ethtx_ce)  
+2.89 stars per week over 83 weeks  
+242 stars, 60 forks, 13 watches  
+[crypto](categories/crypto.md) category, created 2021-07-26, last commit 2022-12-22, main language Python  
 
 
-### [ModernConvNets](https://github.com/nyandwi/modernconvnets) by [nyandwi](https://github.com/nyandwi)  
-ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras  
-[https://github.com/nyandwi/modernconvnets](https://github.com/nyandwi/modernconvnets)  
-7.14 stars per week over 42 weeks  
-306 stars, 31 forks, 7 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-02-10, last commit 2022-10-05, main language Jupyter Notebook  
-<sub><sup>cnns, computer-vision, convnets, convolutional-neural-networks, deep-learning-algorithms, image-classification, keras, neural-networks, tensorflow</sup></sub>
+### [pypinfo](https://github.com/ofek/pypinfo) by [ofek](https://github.com/ofek)  
+pypinfo: Easily view PyPI download statistics via Google's BigQuery.  
+[https://github.com/ofek/pypinfo](https://github.com/ofek/pypinfo)  
+1.17 stars per week over 303 weeks  
+356 stars, 31 forks, 14 watches  
+[util](categories/util.md) category, created 2017-05-13, last commit 2022-11-30, main language Python  
+<sub><sup>bigquery, pypi, python, statistics</sup></sub>
 
 
-### [practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book) by [googlecloudplatform](https://github.com/googlecloudplatform)  
-googlecloudplatform/practical-ml-vision-book  
-[https://github.com/googlecloudplatform/practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book)  
-2.8 stars per week over 107 weeks  
-300 stars, 137 forks, 18 watches  
-[study](categories/study.md) category, created 2020-11-18, last commit 2022-11-21, main language Jupyter Notebook  
+### [psaw](https://github.com/dmarx/psaw) by [dmarx](https://github.com/dmarx)  
+psaw: Python Pushshift.io API Wrapper (for comment/submission search)  
+[https://github.com/dmarx/psaw](https://github.com/dmarx/psaw)  
+1.35 stars per week over 255 weeks  
+343 stars, 55 forks, 9 watches  
+[data](categories/data.md) category, created 2018-04-15, last commit 2022-07-09, main language Python  
 
 
-### [jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard) by [chaoleili](https://github.com/chaoleili)  
-jupyterlab_tensorboard: Tensorboard extension for jupyterlab.  
-[https://github.com/chaoleili/jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard)  
-1.31 stars per week over 225 weeks  
-295 stars, 35 forks, 11 watches  
-[jupyter](categories/jupyter.md) category, created 2018-08-14, last commit 2022-07-18, main language TypeScript  
-<sub><sup>jupyterlab, jupyterlab-extension, tensorboard</sup></sub>
+### [pyesridump](https://github.com/openaddresses/pyesridump) by [openaddresses](https://github.com/openaddresses)  
+pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.  
+[https://github.com/openaddresses/pyesridump](https://github.com/openaddresses/pyesridump)  
+0.54 stars per week over 482 weeks  
+260 stars, 60 forks, 16 watches  
+[gis](categories/gis.md) category, created 2013-12-06, last commit 2023-02-01, main language Python  
 
 
-### [high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e) by [mynameisfiber](https://github.com/mynameisfiber)  
-high_performance_python_2e: Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly   
-[https://github.com/mynameisfiber/high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e)  
-2.08 stars per week over 138 weeks  
-288 stars, 89 forks, 6 watches  
-[study](categories/study.md) category, created 2020-04-12, last commit 2021-01-15, main language Python  
-<sub><sup>code-samples, high-performance, oreilly, oreilly-books, python</sup></sub>
+### [panoramix](https://github.com/palkeo/panoramix) by [palkeo](https://github.com/palkeo)  
+panoramix: Ethereum decompiler  
+[https://github.com/palkeo/panoramix](https://github.com/palkeo/panoramix)  
+3.55 stars per week over 158 weeks  
+564 stars, 154 forks, 31 watches  
+[crypto](categories/crypto.md) category, created 2020-02-17, last commit 2020-08-22, main language Python  
 
 
-### [geolambda](https://github.com/developmentseed/geolambda) by [developmentseed](https://github.com/developmentseed)  
-geolambda: Create and deploy Geospatial AWS Lambda functions  
-[https://github.com/developmentseed/geolambda](https://github.com/developmentseed/geolambda)  
-0.95 stars per week over 292 weeks  
-277 stars, 84 forks, 50 watches  
-[gis](categories/gis.md) category, created 2017-05-02, last commit 2021-02-16, main language Dockerfile  
+### [quandl-python](https://github.com/quandl/quandl-python) by [quandl](https://github.com/quandl)  
+quandl/quandl-python  
+[https://github.com/quandl/quandl-python](https://github.com/quandl/quandl-python)  
+2.49 stars per week over 519 weeks  
+1,291 stars, 342 forks, 129 watches  
+[finance](categories/finance.md) category, created 2013-03-24, last commit 2021-12-08, main language Python  
+<sub><sup>api-client, data-frame, dataset, python, quandl, retrieve-data</sup></sub>
 
 
-### [aws-adfs](https://github.com/venth/aws-adfs) by [venth](https://github.com/venth)  
-aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory)  
-[https://github.com/venth/aws-adfs](https://github.com/venth/aws-adfs)  
-0.82 stars per week over 336 weeks  
-276 stars, 91 forks, 11 watches  
-[util](categories/util.md) category, created 2016-06-25, last commit 2022-10-29, main language Python  
-<sub><sup>adfs, aws, command-line, duo-security, multi-factor-authentication, python, tools</sup></sub>
+### [torch-points3d](https://github.com/nicolas-chaulet/torch-points3d) by [nicolas-chaulet](https://github.com/nicolas-chaulet)  
+torch-points3d: Pytorch framework for doing deep learning on point clouds.  
+[https://torch-points3d.readthedocs.io/en/latest/](https://torch-points3d.readthedocs.io/en/latest/)  
+[https://github.com/nicolas-chaulet/torch-points3d](https://github.com/nicolas-chaulet/torch-points3d)  
+2.22 stars per week over 60 weeks  
+133 stars, 32 forks, 0 watches  
+[ml](categories/ml.md) category, created 2022-01-09, last commit 2021-12-10, main language None  
 
 
-### [pastas](https://github.com/pastas/pastas)  
-pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.  
-[http://pastas.readthedocs.io/](http://pastas.readthedocs.io/)  
-[https://github.com/pastas/pastas](https://github.com/pastas/pastas)  
-0.79 stars per week over 346 weeks  
-274 stars, 54 forks, 15 watches  
-[time-series](categories/time-series.md) category, created 2016-04-15, last commit 2022-08-02, main language Jupyter Notebook  
-<sub><sup>analysis, groundwater, hydrology, pastas, python, timeseries</sup></sub>
+### [micropip](https://github.com/pyodide/micropip) by [pyodide](https://github.com/pyodide)  
+micropip: A lightweight Python package installer for Pyodide  
+[https://micropip.pyodide.org](https://micropip.pyodide.org)  
+[https://github.com/pyodide/micropip](https://github.com/pyodide/micropip)  
+0.65 stars per week over 24 weeks  
+16 stars, 5 forks, 5 watches  
+[util](categories/util.md) category, created 2022-09-15, last commit 2023-03-04, main language Python  
+<sub><sup>package-installer, pyodide, python, webassembly</sup></sub>
 
 
-### [GeoTorch](https://github.com/datasystemslab/geotorch) by [datasystemslab](https://github.com/datasystemslab)  
-GeoTorch: A Spatiotemporal Deep Learning Framework  
-[https://kanchanchy.github.io/geotorch/](https://kanchanchy.github.io/geotorch/)  
-[https://github.com/datasystemslab/geotorch](https://github.com/datasystemslab/geotorch)  
-9.58 stars per week over 28 weeks  
-271 stars, 14 forks, 7 watches  
-[gis](categories/gis.md) category, created 2022-05-23, last commit 2022-11-27, main language Python  
-<sub><sup>classification-model, convlstm-pytorch, deep-learning, deep-neural-networks, deepsat, prediction-model, raster-data, satellite-classification, satellite-images, segmentation-models, sequence-models, spatial-data-analysis, spatio-temporal-analysis, spatio-temporal-models, spatio-temporal-prediction, st-resnet</sup></sub>
+### [m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test) by [mrdbourke](https://github.com/mrdbourke)  
+m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.  
+[https://github.com/mrdbourke/m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test)  
+5.57 stars per week over 68 weeks  
+379 stars, 120 forks, 12 watches  
+[ml](categories/ml.md) category, created 2021-11-14, last commit 2022-07-16, main language Jupyter Notebook  
+<sub><sup>machine-learning, metal, tensorflow, tensorflow-macos</sup></sub>
 
 
-### [py-shiny](https://github.com/rstudio/py-shiny) by [rstudio](https://github.com/rstudio)  
-py-shiny: Shiny for Python  
-[https://shiny.rstudio.com/py/](https://shiny.rstudio.com/py/)  
-[https://github.com/rstudio/py-shiny](https://github.com/rstudio/py-shiny)  
-3.81 stars per week over 71 weeks  
-271 stars, 14 forks, 18 watches  
-[web](categories/web.md) category, created 2021-07-27, last commit 2022-11-06, main language JavaScript  
+### [graph-force](https://github.com/h4kor/graph-force) by [h4kor](https://github.com/h4kor)  
+graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.  
+[https://pypi.org/project/graph-force/](https://pypi.org/project/graph-force/)  
+[https://github.com/h4kor/graph-force](https://github.com/h4kor/graph-force)  
+11 stars per week over 13 weeks  
+164 stars, 0 forks, 9 watches  
+[graph](categories/graph.md) category, created 2022-11-28, last commit 2022-11-28, main language Rust  
+<sub><sup>force-directed-graphs, graph-algorithms, python, python3</sup></sub>
 
 
-### [check-manifest](https://github.com/mgedmin/check-manifest) by [mgedmin](https://github.com/mgedmin)  
-check-manifest: Tool to check the completeness of MANIFEST.in for Python packages  
-[https://pypi.org/p/check-manifest](https://pypi.org/p/check-manifest)  
-[https://github.com/mgedmin/check-manifest](https://github.com/mgedmin/check-manifest)  
-0.53 stars per week over 509 weeks  
-269 stars, 37 forks, 7 watches  
-[util](categories/util.md) category, created 2013-03-05, last commit 2022-12-05, main language Python  
+### [mutate](https://github.com/infinitylogesh/mutate) by [infinitylogesh](https://github.com/infinitylogesh)  
+mutate: A library to synthesize text datasets using Large Language Models (LLM)  
+[https://github.com/infinitylogesh/mutate](https://github.com/infinitylogesh/mutate)  
+2.27 stars per week over 61 weeks  
+140 stars, 11 forks, 3 watches  
+[nlp](categories/nlp.md) category, created 2021-12-29, last commit 2023-01-17, main language Python  
+<sub><sup>data-augmentation, data-labeling, language-model, nlp-library, text-generation</sup></sub>
 
 
-### [hstream](https://github.com/conradbez/hstream) by [conradbez](https://github.com/conradbez)  
-hstream: Hyper Stream  
-[https://github.com/conradbez/hstream](https://github.com/conradbez/hstream)  
-54 stars per week over 4 weeks  
-264 stars, 11 forks, 6 watches  
-[web](categories/web.md) category, created 2022-11-03, last commit 2022-11-24, main language Python  
+### [faster-cpython](https://github.com/markshannon/faster-cpython) by [markshannon](https://github.com/markshannon)  
+faster-cpython: How to make CPython faster.  
+[https://github.com/markshannon/faster-cpython](https://github.com/markshannon/faster-cpython)  
+7.27 stars per week over 123 weeks  
+901 stars, 21 forks, 84 watches  
+[perf](categories/perf.md) category, created 2020-10-19, last commit 2020-10-28, main language None  
 
 
-### [eth-utils](https://github.com/ethereum/eth-utils) by [ethereum](https://github.com/ethereum)  
-eth-utils: Utility functions for working with ethereum related codebases.  
-[https://eth-utils.readthedocs.io/en/latest/](https://eth-utils.readthedocs.io/en/latest/)  
-[https://github.com/ethereum/eth-utils](https://github.com/ethereum/eth-utils)  
-0.86 stars per week over 304 weeks  
-263 stars, 141 forks, 19 watches  
-[crypto](categories/crypto.md) category, created 2017-02-07, last commit 2022-11-17, main language Python  
-<sub><sup>ethereum, python, utility-library</sup></sub>
+### [pySBD](https://github.com/nipunsadvilkar/pysbd) by [nipunsadvilkar](https://github.com/nipunsadvilkar)  
+pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.  
+[https://github.com/nipunsadvilkar/pysbd](https://github.com/nipunsadvilkar/pysbd)  
+1.92 stars per week over 299 weeks  
+575 stars, 67 forks, 10 watches  
+[nlp](categories/nlp.md) category, created 2017-06-11, last commit 2021-02-11, main language Python  
+<sub><sup>python, rule-based, segmentation, sentence, sentence-boundary-detection, sentence-tokenizer</sup></sub>
 
 
-### [contractions](https://github.com/kootenpv/contractions) by [kootenpv](https://github.com/kootenpv)  
-contractions: Fixes contractions such as `you're` to you `are`  
-[https://github.com/kootenpv/contractions](https://github.com/kootenpv/contractions)  
-0.84 stars per week over 310 weeks  
-262 stars, 35 forks, 7 watches  
-[nlp](categories/nlp.md) category, created 2016-12-25, last commit 2022-11-15, main language Python  
+### [parquet-tools](https://github.com/ktrueda/parquet-tools) by [ktrueda](https://github.com/ktrueda)  
+parquet-tools: easy install parquet-tools  
+[https://github.com/ktrueda/parquet-tools](https://github.com/ktrueda/parquet-tools)  
+0.65 stars per week over 148 weeks  
+97 stars, 13 forks, 3 watches  
+[data](categories/data.md) category, created 2020-05-02, last commit 2023-01-18, main language Python  
+<sub><sup>cli, parquet, parquet-tools</sup></sub>
 
 
-### [enlighten](https://github.com/rockhopper-technologies/enlighten) by [rockhopper-technologies](https://github.com/rockhopper-technologies)  
-Enlighten Progress Bar for Python Console Apps  
-[https://python-enlighten.readthedocs.io](https://python-enlighten.readthedocs.io)  
-[https://github.com/rockhopper-technologies/enlighten](https://github.com/rockhopper-technologies/enlighten)  
-0.96 stars per week over 271 weeks  
-262 stars, 19 forks, 4 watches  
-[term](categories/term.md) category, created 2017-09-22, last commit 2022-12-01, main language Python  
-<sub><sup>python</sup></sub>
+### [repository-scanner](https://github.com/abnamro/repository-scanner) by [abnamro](https://github.com/abnamro)  
+repository-scanner: Tool to detect secrets in source code management systems.  
+[https://github.com/abnamro/repository-scanner](https://github.com/abnamro/repository-scanner)  
+2.28 stars per week over 25 weeks  
+58 stars, 3 forks, 6 watches  
+[security](categories/security.md) category, created 2022-09-08, last commit 2023-03-03, main language Python  
 
 
-### [poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin) by [tiangolo](https://github.com/tiangolo)  
-poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.  
-[https://github.com/tiangolo/poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin)  
-3.27 stars per week over 79 weeks  
-261 stars, 23 forks, 5 watches  
-[util](categories/util.md) category, created 2021-05-27, last commit 2021-05-28, main language Python  
-<sub><sup>packaging, packaging-for-pypi, pypi, python, python-poetry, python3</sup></sub>
+### [dit](https://github.com/dit/dit)  
+dit: Python package for information theory.  
+[http://docs.dit.io](http://docs.dit.io)  
+[https://github.com/dit/dit](https://github.com/dit/dit)  
+0.88 stars per week over 492 weeks  
+431 stars, 78 forks, 24 watches  
+[math](categories/math.md) category, created 2013-09-29, last commit 2022-07-25, main language Python  
+<sub><sup>information-theory, python</sup></sub>
 
 
-### [Mephisto](https://github.com/facebookresearch/mephisto) by [facebookresearch](https://github.com/facebookresearch)  
-Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.   
-[https://mephisto.ai/](https://mephisto.ai/)  
-[https://github.com/facebookresearch/mephisto](https://github.com/facebookresearch/mephisto)  
-1.49 stars per week over 172 weeks  
-257 stars, 58 forks, 14 watches  
-[data](categories/data.md) category, created 2019-08-19, last commit 2022-12-02, main language JavaScript  
+### [practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+googlecloudplatform/practical-ml-vision-book  
+[https://github.com/googlecloudplatform/practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book)  
+2.73 stars per week over 119 weeks  
+326 stars, 147 forks, 19 watches  
+[study](categories/study.md) category, created 2020-11-18, last commit 2022-11-21, main language Jupyter Notebook  
 
 
-### [ottr](https://github.com/airbnb/ottr) by [airbnb](https://github.com/airbnb)  
-ottr: Serverless Public Key Infrastructure Framework  
-[https://github.com/airbnb/ottr](https://github.com/airbnb/ottr)  
-3.84 stars per week over 66 weeks  
-256 stars, 27 forks, 8 watches  
-[util](categories/util.md) category, created 2021-08-27, last commit 2022-01-04, main language Python  
+### [fonduer](https://github.com/hazyresearch/fonduer) by [hazyresearch](https://github.com/hazyresearch)  
+fonduer: A knowledge base construction engine for richly formatted data  
+[https://fonduer.readthedocs.io/](https://fonduer.readthedocs.io/)  
+[https://github.com/hazyresearch/fonduer](https://github.com/hazyresearch/fonduer)  
+1.47 stars per week over 265 weeks  
+390 stars, 79 forks, 27 watches  
+[nlp](categories/nlp.md) category, created 2018-02-02, last commit 2021-06-23, main language Python  
+<sub><sup>knowledge-base-construction, machine-learning, multimodality</sup></sub>
 
 
-### [pandas_flavor](https://github.com/zsailer/pandas_flavor) by [zsailer](https://github.com/zsailer)  
-pandas_flavor: The easy way to write your own flavor of Pandas  
-[https://zsailer.github.io/software/pandas-flavor/](https://zsailer.github.io/software/pandas-flavor/)  
-[https://github.com/zsailer/pandas_flavor](https://github.com/zsailer/pandas_flavor)  
-1.0 stars per week over 253 weeks  
-254 stars, 17 forks, 6 watches  
-[pandas](categories/pandas.md) category, created 2018-01-25, last commit 2022-04-17, main language Python  
-<sub><sup>pandas</sup></sub>
+### [ppuda](https://github.com/facebookresearch/ppuda) by [facebookresearch](https://github.com/facebookresearch)  
+ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)  
+[https://github.com/facebookresearch/ppuda](https://github.com/facebookresearch/ppuda)  
+6.54 stars per week over 71 weeks  
+467 stars, 60 forks, 19 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-10-21, last commit 2022-07-26, main language Python  
 
 
-### [sota-extractor](https://github.com/paperswithcode/sota-extractor) by [paperswithcode](https://github.com/paperswithcode)  
-sota-extractor: The SOTA extractor pipeline  
-[https://github.com/paperswithcode/sota-extractor](https://github.com/paperswithcode/sota-extractor)  
-1.2 stars per week over 208 weeks  
-251 stars, 27 forks, 13 watches  
-[data](categories/data.md) category, created 2018-12-07, last commit 2022-03-09, main language Python  
+### [contractions](https://github.com/kootenpv/contractions) by [kootenpv](https://github.com/kootenpv)  
+contractions: Fixes contractions such as `you're` to `you are`  
+[https://github.com/kootenpv/contractions](https://github.com/kootenpv/contractions)  
+0.85 stars per week over 323 weeks  
+273 stars, 35 forks, 7 watches  
+[nlp](categories/nlp.md) category, created 2016-12-25, last commit 2022-11-15, main language Python  
 
 
-### [cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings) by [cgal](https://github.com/cgal)  
-cgal-swig-bindings: CGAL bindings using SWIG  
-[https://github.com/cgal/cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings)  
-0.62 stars per week over 403 weeks  
-251 stars, 78 forks, 26 watches  
-[gis](categories/gis.md) category, created 2015-03-14, last commit 2022-10-19, main language C++  
+### [omniduct](https://github.com/airbnb/omniduct) by [airbnb](https://github.com/airbnb)  
+omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).  
+[https://github.com/airbnb/omniduct](https://github.com/airbnb/omniduct)  
+0.77 stars per week over 314 weeks  
+243 stars, 49 forks, 30 watches  
+[data](categories/data.md) category, created 2017-02-22, last commit 2022-05-09, main language Python  
 
 
-### [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader) by [ndrplz](https://github.com/ndrplz)  
-google-drive-downloader: Minimal class to download shared files from Google Drive.  
-[https://github.com/ndrplz/google-drive-downloader](https://github.com/ndrplz/google-drive-downloader)  
-0.96 stars per week over 260 weeks  
-249 stars, 63 forks, 11 watches  
-[data](categories/data.md) category, created 2017-12-08, last commit 2019-02-09, main language Python  
+### [DeepTime](https://github.com/salesforce/deeptime) by [salesforce](https://github.com/salesforce)  
+PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting  
+[https://github.com/salesforce/deeptime](https://github.com/salesforce/deeptime)  
+5.91 stars per week over 35 weeks  
+212 stars, 36 forks, 7 watches  
+[time-series](categories/time-series.md) category, created 2022-06-27, last commit 2022-11-03, main language Python  
+<sub><sup>deep-learning, forecasting, implicit-neural-representation, meta-learning, time-series, time-series-forecasting, time-series-regression</sup></sub>
 
 
-### [squirrel-core](https://github.com/merantix-momentum/squirrel-core) by [merantix-momentum](https://github.com/merantix-momentum)  
-squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:  
-[https://squirrel-core.readthedocs.io/](https://squirrel-core.readthedocs.io/)  
-[https://github.com/merantix-momentum/squirrel-core](https://github.com/merantix-momentum/squirrel-core)  
-5.83 stars per week over 42 weeks  
-249 stars, 4 forks, 14 watches  
-[ml](categories/ml.md) category, created 2022-02-11, last commit 2022-11-17, main language Python  
-<sub><sup>ai, cloud-computing, collaboration, computer-vision, cv, data-ingestion, data-mesh, data-science, dataops, datasets, deep-learning, distributed, jax, machine-learning, ml, natural-language-processing, nlp, python, pytorch, tensorflow</sup></sub>
+### [heartrate](https://github.com/alexmojaki/heartrate) by [alexmojaki](https://github.com/alexmojaki)  
+heartrate: Simple real time visualisation of the execution of a Python program.  
+[https://github.com/alexmojaki/heartrate](https://github.com/alexmojaki/heartrate)  
+8.01 stars per week over 201 weeks  
+1,614 stars, 124 forks, 33 watches  
+[debug](categories/debug.md) category, created 2019-04-24, last commit 2021-11-13, main language Python  
+<sub><sup>debugger, python, visualization</sup></sub>
 
 
-### [apilogs](https://github.com/rpgreen/apilogs) by [rpgreen](https://github.com/rpgreen)  
-apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs  
-[https://github.com/rpgreen/apilogs](https://github.com/rpgreen/apilogs)  
-0.76 stars per week over 326 weeks  
-247 stars, 19 forks, 9 watches  
-[util](categories/util.md) category, created 2016-09-07, last commit 2019-11-13, main language Python  
-<sub><sup>api, api-gateway, aws, aws-apigateway, aws-lambda, cloudwatch-logs, gateway, lambda, logging</sup></sub>
+### [in3](https://github.com/blockchainsllc/in3) by [blockchainsllc](https://github.com/blockchainsllc)  
+in3: The IN3 client (written in C).  
+[https://in3.readthedocs.io/en/develop/index.html](https://in3.readthedocs.io/en/develop/index.html)  
+[https://github.com/blockchainsllc/in3](https://github.com/blockchainsllc/in3)  
+0.37 stars per week over 180 weeks  
+66 stars, 19 forks, 12 watches  
+[crypto](categories/crypto.md) category, created 2019-09-17, last commit 2022-04-01, main language C  
+<sub><sup>blockchain, crypto-economic, ethereum, ipfs, verify</sup></sub>
 
 
-### [grade-school-math](https://github.com/openai/grade-school-math) by [openai](https://github.com/openai)  
-openai/grade-school-math  
-[https://github.com/openai/grade-school-math](https://github.com/openai/grade-school-math)  
-4.14 stars per week over 59 weeks  
-244 stars, 45 forks, 7 watches  
-[nlp](categories/nlp.md) category, created 2021-10-20, last commit 2021-11-19, main language Python  
+### [scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
+scikit-geometry: Scientific Python Geometric Algorithms Library  
+[https://scikit-geometry.github.io/scikit-geometry](https://scikit-geometry.github.io/scikit-geometry)  
+[https://github.com/scikit-geometry/scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
+0.99 stars per week over 361 weeks  
+360 stars, 50 forks, 14 watches  
+[gis](categories/gis.md) category, created 2016-03-28, last commit 2022-10-14, main language Jupyter Notebook  
+<sub><sup>cgal, geometric-algorithms, geometry, python, wrapper</sup></sub>
 
 
-### [pyesridump](https://github.com/openaddresses/pyesridump) by [openaddresses](https://github.com/openaddresses)  
-pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.  
-[https://github.com/openaddresses/pyesridump](https://github.com/openaddresses/pyesridump)  
-0.52 stars per week over 469 weeks  
-243 stars, 59 forks, 16 watches  
-[gis](categories/gis.md) category, created 2013-12-06, last commit 2022-06-19, main language Python  
+### [label-maker](https://github.com/developmentseed/label-maker) by [developmentseed](https://github.com/developmentseed)  
+label-maker: Data Preparation for Satellite Machine Learning  
+[http://devseed.com/label-maker/](http://devseed.com/label-maker/)  
+[https://github.com/developmentseed/label-maker](https://github.com/developmentseed/label-maker)  
+1.65 stars per week over 268 weeks  
+443 stars, 112 forks, 53 watches  
+[gis](categories/gis.md) category, created 2018-01-10, last commit 2020-11-19, main language Python  
+<sub><sup>computer-vision, data-preparation, deep-learning, keras, remote-sensing, satellite-imagery</sup></sub>
 
 
-### [spatialpandas](https://github.com/holoviz/spatialpandas) by [holoviz](https://github.com/holoviz)  
-spatialpandas: Pandas extension arrays for spatial/geometric operations  
-[https://github.com/holoviz/spatialpandas](https://github.com/holoviz/spatialpandas)  
-1.5 stars per week over 162 weeks  
-243 stars, 20 forks, 21 watches  
-[pandas](categories/pandas.md) category, created 2019-10-28, last commit 2022-11-22, main language Python  
-<sub><sup>geographic-data, geopandas, holoviz, pandas, spatialpandas</sup></sub>
+### [CARLA](https://github.com/carla-recourse/carla) by [carla-recourse](https://github.com/carla-recourse)  
+CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms  
+[https://github.com/carla-recourse/carla](https://github.com/carla-recourse/carla)  
+1.78 stars per week over 116 weeks  
+207 stars, 49 forks, 5 watches  
+[ml](categories/ml.md) category, created 2020-12-09, last commit 2023-02-22, main language Python  
+<sub><sup>artificial-intelligence, benchmark, benchmarking, counterfactual, counterfactual-explanations, counterfactuals, explainability, explainable-ai, explainable-ml, machine-learning, python, pytorch, recourse, tensorflow, tensorflow2</sup></sub>
 
 
-### [unionml](https://github.com/unionai-oss/unionml) by [unionai-oss](https://github.com/unionai-oss)  
-UnionML: the easiest way to build and deploy machine learning microservices  
-[https://www.union.ai/unionml](https://www.union.ai/unionml)  
-[https://github.com/unionai-oss/unionml](https://github.com/unionai-oss/unionml)  
-4.4 stars per week over 55 weeks  
-242 stars, 38 forks, 4 watches  
-[ml-ops](categories/ml-ops.md) category, created 2021-11-17, last commit 2022-11-29, main language Python  
-<sub><sup>hacktoberfest, machine-learning, mlops</sup></sub>
+### [ged2dot](https://github.com/vmiklos/ged2dot) by [vmiklos](https://github.com/vmiklos)  
+ged2dot: GEDCOM to Graphviz converter  
+[https://vmiklos.hu/ged2dot/](https://vmiklos.hu/ged2dot/)  
+[https://github.com/vmiklos/ged2dot](https://github.com/vmiklos/ged2dot)  
+0.18 stars per week over 487 weeks  
+87 stars, 17 forks, 6 watches  
+[data](categories/data.md) category, created 2013-11-01, last commit 2023-02-26, main language Python  
+<sub><sup>dot, gedcom, libreoffice, python</sup></sub>
 
 
-### [ethtx_ce](https://github.com/ethtx/ethtx_ce) by [ethtx](https://github.com/ethtx)  
-ethtx_ce: Ethereum transaction decoder (community version).  
-[https://ethtx.info](https://ethtx.info)  
-[https://github.com/ethtx/ethtx_ce](https://github.com/ethtx/ethtx_ce)  
-3.35 stars per week over 71 weeks  
-239 stars, 59 forks, 13 watches  
-[crypto](categories/crypto.md) category, created 2021-07-26, last commit 2022-12-05, main language Python  
+### [landsat-util](https://github.com/developmentseed/landsat-util) by [developmentseed](https://github.com/developmentseed)  
+landsat-util: A utility to search, download and process Landsat 8 satellite imagery  
+[https://github.com/developmentseed/landsat-util](https://github.com/developmentseed/landsat-util)  
+1.53 stars per week over 448 weeks  
+685 stars, 155 forks, 128 watches  
+[gis](categories/gis.md) category, created 2014-08-01, last commit 2018-07-30, main language Python  
 
 
-### [omniduct](https://github.com/airbnb/omniduct) by [airbnb](https://github.com/airbnb)  
-omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).  
-[https://github.com/airbnb/omniduct](https://github.com/airbnb/omniduct)  
-0.78 stars per week over 302 weeks  
-237 stars, 47 forks, 30 watches  
-[data](categories/data.md) category, created 2017-02-22, last commit 2022-05-09, main language Python  
+### [BRIO](https://github.com/yixinl7/brio) by [yixinl7](https://github.com/yixinl7)  
+ACL 2022: BRIO: Bringing Order to Abstractive Summarization  
+[https://github.com/yixinl7/brio](https://github.com/yixinl7/brio)  
+4.38 stars per week over 50 weeks  
+222 stars, 38 forks, 2 watches  
+[nlp](categories/nlp.md) category, created 2022-03-15, last commit 2022-11-06, main language Python  
+<sub><sup>nlp, text-summarization</sup></sub>
 
 
-### [airflow-chart](https://github.com/astronomer/airflow-chart) by [astronomer](https://github.com/astronomer)  
-airflow-chart: A Helm chart to install Apache Airflow on Kubernetes  
-[https://github.com/astronomer/airflow-chart](https://github.com/astronomer/airflow-chart)  
-1.57 stars per week over 150 weeks  
-236 stars, 86 forks, 44 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-01-22, last commit 2022-12-06, main language Python  
-<sub><sup>airflow, apache-airflow, helm-chart, kubernetes</sup></sub>
+### [forbiddenfruit](https://github.com/clarete/forbiddenfruit) by [clarete](https://github.com/clarete)  
+forbiddenfruit: Patch built-in python objects  
+[https://clarete.li/forbiddenfruit/](https://clarete.li/forbiddenfruit/)  
+[https://github.com/clarete/forbiddenfruit](https://github.com/clarete/forbiddenfruit)  
+1.46 stars per week over 517 weeks  
+758 stars, 49 forks, 28 watches  
+[util](categories/util.md) category, created 2013-04-03, last commit 2022-03-12, main language Python  
+<sub><sup>monkey-patching, python</sup></sub>
 
 
-### [mako](https://github.com/sqlalchemy/mako) by [sqlalchemy](https://github.com/sqlalchemy)  
-Mako Templates for Python  
-[https://www.makotemplates.org](https://www.makotemplates.org)  
-[https://github.com/sqlalchemy/mako](https://github.com/sqlalchemy/mako)  
-1.11 stars per week over 210 weeks  
-234 stars, 46 forks, 10 watches  
-[template](categories/template.md) category, created 2018-11-26, last commit 2022-12-01, main language Python  
+### [s2orc-doc2json](https://github.com/allenai/s2orc-doc2json) by [allenai](https://github.com/allenai)  
+s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)  
+[https://github.com/allenai/s2orc-doc2json](https://github.com/allenai/s2orc-doc2json)  
+1.57 stars per week over 116 weeks  
+183 stars, 36 forks, 6 watches  
+[nlp](categories/nlp.md) category, created 2020-12-10, last commit 2022-12-09, main language Python  
 
 
-### [pymdp](https://github.com/infer-actively/pymdp) by [infer-actively](https://github.com/infer-actively)  
-pymdp: A Python implementation of active inference for Markov Decision Processes  
-[https://github.com/infer-actively/pymdp](https://github.com/infer-actively/pymdp)  
-1.47 stars per week over 158 weeks  
-232 stars, 37 forks, 23 watches  
-[ml](categories/ml.md) category, created 2019-11-27, last commit 2022-10-26, main language Python  
+### [pyfuncol](https://github.com/gondolav/pyfuncol) by [gondolav](https://github.com/gondolav)  
+pyfuncol: Functional collections extension functions for Python  
+[https://pyfuncol.readthedocs.io/](https://pyfuncol.readthedocs.io/)  
+[https://github.com/gondolav/pyfuncol](https://github.com/gondolav/pyfuncol)  
+0.5 stars per week over 63 weeks  
+32 stars, 2 forks, 3 watches  
+[util](categories/util.md) category, created 2021-12-16, last commit 2023-02-27, main language Python  
+<sub><sup>collections, extension-functions, functional, parallel, python, python3</sup></sub>
 
 
-### [data-lineage](https://github.com/tokern/data-lineage) by [tokern](https://github.com/tokern)  
-data-lineage: Generate and Visualize Data Lineage from query history  
-[https://tokern.io/data-lineage/](https://tokern.io/data-lineage/)  
-[https://github.com/tokern/data-lineage](https://github.com/tokern/data-lineage)  
-1.63 stars per week over 142 weeks  
-231 stars, 27 forks, 8 watches  
-[data](categories/data.md) category, created 2020-03-17, last commit 2022-05-02, main language Python  
-<sub><sup>data-governance, data-lineage, jupyter, postgresql, python</sup></sub>
+### [geoplot](https://github.com/residentmario/geoplot) by [residentmario](https://github.com/residentmario)  
+geoplot: High-level geospatial data visualization library for Python.  
+[https://residentmario.github.io/geoplot/index.html](https://residentmario.github.io/geoplot/index.html)  
+[https://github.com/residentmario/geoplot](https://github.com/residentmario/geoplot)  
+3.02 stars per week over 348 weeks  
+1,054 stars, 91 forks, 35 watches  
+[gis](categories/gis.md) category, created 2016-06-29, last commit 2022-03-18, main language Python  
+<sub><sup>geopandas, geospatial-data, geospatial-visualization, matplotlib, spatial-analysis</sup></sub>
 
 
 ### [genalog](https://github.com/microsoft/genalog) by [microsoft](https://github.com/microsoft)  
 Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.  
 [https://microsoft.github.io/genalog/](https://microsoft.github.io/genalog/)  
 [https://github.com/microsoft/genalog](https://github.com/microsoft/genalog)  
-1.79 stars per week over 129 weeks  
-231 stars, 23 forks, 10 watches  
-[data](categories/data.md) category, created 2020-06-15, last commit 2022-09-13, main language Jupyter Notebook  
+1.72 stars per week over 141 weeks  
+244 stars, 24 forks, 10 watches  
+[data](categories/data.md) category, created 2020-06-15, last commit 2023-02-14, main language Jupyter Notebook  
 <sub><sup>data-generation, data-science, machine-learning, ner, ocr-recognition, python, synthetic-data, synthetic-data-generation, synthetic-images, text-alignment</sup></sub>
 
 
-### [opendatasets](https://github.com/jovianml/opendatasets) by [jovianml](https://github.com/jovianml)  
-opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.  
-[https://github.com/jovianml/opendatasets](https://github.com/jovianml/opendatasets)  
-1.99 stars per week over 115 weeks  
-230 stars, 110 forks, 14 watches  
-[data](categories/data.md) category, created 2020-09-17, last commit 2022-11-01, main language Python  
-<sub><sup>data-science, datasets, machine-learning, python</sup></sub>
-
-
-### [pystan](https://github.com/stan-dev/pystan) by [stan-dev](https://github.com/stan-dev)  
-PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io  
-[https://github.com/stan-dev/pystan](https://github.com/stan-dev/pystan)  
-0.8 stars per week over 272 weeks  
-219 stars, 43 forks, 12 watches  
-[ml](categories/ml.md) category, created 2017-09-17, last commit 2022-11-26, main language Python  
-
-
-### [ion-python](https://github.com/amzn/ion-python) by [amzn](https://github.com/amzn)  
-ion-python: A Python implementation of Amazon Ion.  
-[http://amzn.github.io/ion-docs/](http://amzn.github.io/ion-docs/)  
-[https://github.com/amzn/ion-python](https://github.com/amzn/ion-python)  
-0.61 stars per week over 347 weeks  
-213 stars, 49 forks, 23 watches  
-[data](categories/data.md) category, created 2016-04-07, last commit 2022-08-19, main language Python  
+### [ModernConvNets](https://github.com/nyandwi/modernconvnets) by [nyandwi](https://github.com/nyandwi)  
+ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras  
+[https://github.com/nyandwi/modernconvnets](https://github.com/nyandwi/modernconvnets)  
+5.52 stars per week over 55 weeks  
+306 stars, 32 forks, 7 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-02-10, last commit 2022-10-05, main language Jupyter Notebook  
+<sub><sup>cnns, computer-vision, convnets, convolutional-neural-networks, deep-learning-algorithms, image-classification, keras, neural-networks, tensorflow</sup></sub>
 
 
-### [skops](https://github.com/skops-dev/skops) by [skops-dev](https://github.com/skops-dev)  
-skops is a Python library helping you share your scikit-learn based models and put them in production  
-[https://skops.readthedocs.io/en/stable/](https://skops.readthedocs.io/en/stable/)  
-[https://github.com/skops-dev/skops](https://github.com/skops-dev/skops)  
-6.87 stars per week over 31 weeks  
-213 stars, 31 forks, 9 watches  
-[ml-ops](categories/ml-ops.md) category, created 2022-05-04, last commit 2022-12-05, main language Python  
-<sub><sup>hacktoberfest, huggingface, machine-learning, mlops, scikit-learn</sup></sub>
+### [fairing](https://github.com/kubeflow/fairing) by [kubeflow](https://github.com/kubeflow)  
+fairing: Python SDK for building, training, and deploying ML models  
+[https://github.com/kubeflow/fairing](https://github.com/kubeflow/fairing)  
+1.39 stars per week over 234 weeks  
+327 stars, 147 forks, 39 watches  
+[ml-ops](categories/ml-ops.md) category, created 2018-09-03, last commit 2021-08-26, main language Jsonnet  
 
 
-### [rio-cogeo](https://github.com/cogeotiff/rio-cogeo) by [cogeotiff](https://github.com/cogeotiff)  
-rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio  
-[https://cogeotiff.github.io/rio-cogeo/](https://cogeotiff.github.io/rio-cogeo/)  
-[https://github.com/cogeotiff/rio-cogeo](https://github.com/cogeotiff/rio-cogeo)  
-0.86 stars per week over 247 weeks  
-212 stars, 30 forks, 44 watches  
-[gis](categories/gis.md) category, created 2018-03-09, last commit 2022-10-26, main language Python  
-<sub><sup>cog, cogeotiff, geotiff, rasterio, satellite</sup></sub>
+### [mercantile](https://github.com/mapbox/mercantile) by [mapbox](https://github.com/mapbox)  
+mercantile: Spherical mercator tile and coordinate utilities  
+[https://github.com/mapbox/mercantile](https://github.com/mapbox/mercantile)  
+0.74 stars per week over 472 weeks  
+349 stars, 61 forks, 117 watches  
+[gis](categories/gis.md) category, created 2014-02-12, last commit 2021-10-22, main language Python  
+<sub><sup>imagery, pxm, satellite</sup></sub>
 
 
-### [trafficSimulator](https://github.com/bilhim/trafficsimulator) by [bilhim](https://github.com/bilhim)  
-bilhim/trafficsimulator  
-[https://github.com/bilhim/trafficsimulator](https://github.com/bilhim/trafficsimulator)  
-3.1 stars per week over 65 weeks  
-203 stars, 77 forks, 13 watches  
-[sim](categories/sim.md) category, created 2021-09-05, last commit 2021-09-07, main language Python  
+### [SubredditMediaDownloader](https://github.com/psycoguana/subredditmediadownloader) by [psycoguana](https://github.com/psycoguana)  
+SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎  
+[https://github.com/psycoguana/subredditmediadownloader](https://github.com/psycoguana/subredditmediadownloader)  
+2.06 stars per week over 54 weeks  
+112 stars, 8 forks, 3 watches  
+[data](categories/data.md) category, created 2022-02-18, last commit 2023-01-17, main language Python  
 
 
-### [pyroad](https://github.com/amaargiru/pyroad) by [amaargiru](https://github.com/amaargiru)  
-pyroad: Detailed Python developer roadmap  
-[https://github.com/amaargiru/pyroad](https://github.com/amaargiru/pyroad)  
-40 stars per week over 4 weeks  
-199 stars, 25 forks, 5 watches  
-[study](categories/study.md) category, created 2022-11-03, last commit 2022-11-29, main language Jupyter Notebook  
-<sub><sup>python, roadmap, tutorial</sup></sub>
+### [Focal-Transformer](https://github.com/microsoft/focal-transformer) by [microsoft](https://github.com/microsoft)  
+Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"  
+[https://github.com/microsoft/focal-transformer](https://github.com/microsoft/focal-transformer)  
+5.73 stars per week over 86 weeks  
+494 stars, 58 forks, 17 watches  
+[ml](categories/ml.md) category, created 2021-07-10, last commit 2022-03-27, main language Python  
 
 
-### [CARLA](https://github.com/carla-recourse/carla) by [carla-recourse](https://github.com/carla-recourse)  
-CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms  
-[https://github.com/carla-recourse/carla](https://github.com/carla-recourse/carla)  
-1.89 stars per week over 104 weeks  
-197 stars, 41 forks, 5 watches  
-[ml](categories/ml.md) category, created 2020-12-09, last commit 2022-09-07, main language Python  
-<sub><sup>artificial-intelligence, benchmark, benchmarking, counterfactual, counterfactual-explanations, counterfactuals, explainability, explainable-ai, explainable-ml, machine-learning, python, pytorch, recourse, tensorflow, tensorflow2</sup></sub>
+### [dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+googlecloudplatform/dataflow-geobeam  
+[https://github.com/googlecloudplatform/dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam)  
+0.62 stars per week over 108 weeks  
+67 stars, 25 forks, 10 watches  
+[gis](categories/gis.md) category, created 2021-02-04, last commit 2022-11-29, main language Python  
 
 
-### [GameGAN_code](https://github.com/nv-tlabs/gamegan_code) by [nv-tlabs](https://github.com/nv-tlabs)  
-GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)  
-[https://github.com/nv-tlabs/gamegan_code](https://github.com/nv-tlabs/gamegan_code)  
-1.9 stars per week over 103 weeks  
-197 stars, 32 forks, 9 watches  
-[sim](categories/sim.md) category, created 2020-12-11, last commit 2021-11-11, main language Python  
+### [gds_env](https://github.com/darribas/gds_env) by [darribas](https://github.com/darribas)  
+gds_env: A containerised platform for Geographic Data Science  
+[https://darribas.org/gds_env](https://darribas.org/gds_env)  
+[https://github.com/darribas/gds_env](https://github.com/darribas/gds_env)  
+0.27 stars per week over 342 weeks  
+93 stars, 36 forks, 9 watches  
+[gis](categories/gis.md) category, created 2016-08-12, last commit 2022-12-09, main language Jupyter Notebook  
+<sub><sup>docker, geographic-data-science, jupyter-lab, latex, python, r</sup></sub>
 
 
-### [astro-sdk](https://github.com/astronomer/astro-sdk) by [astronomer](https://github.com/astronomer)  
-astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.  
-[https://docs.astronomer.io/learn/astro-python-sdk-etl](https://docs.astronomer.io/learn/astro-python-sdk-etl)  
-[https://github.com/astronomer/astro-sdk](https://github.com/astronomer/astro-sdk)  
-3.73 stars per week over 52 weeks  
-195 stars, 26 forks, 13 watches  
-[ml-ops](categories/ml-ops.md) category, created 2021-12-06, last commit 2022-12-07, main language Python  
-<sub><sup>airflow, apache-airflow, bigquery, dags, data-analysis, data-science, elt, etl, gcs, pandas, postgres, python, s3, snowflake, sql, sqlite, workflows</sup></sub>
+### [mapply](https://github.com/ddelange/mapply) by [ddelange](https://github.com/ddelange)  
+mapply: Sensible multi-core apply function for Pandas  
+[https://github.com/ddelange/mapply](https://github.com/ddelange/mapply)  
+0.32 stars per week over 122 weeks  
+39 stars, 3 forks, 4 watches  
+[pandas](categories/pandas.md) category, created 2020-10-26, last commit 2023-03-04, main language Python  
 
 
-### [richdem](https://github.com/r-barnes/richdem) by [r-barnes](https://github.com/r-barnes)  
-richdem: High-performance Terrain and Hydrology Analysis   
-[https://github.com/r-barnes/richdem](https://github.com/r-barnes/richdem)  
-0.37 stars per week over 517 weeks  
-194 stars, 57 forks, 14 watches  
-[gis](categories/gis.md) category, created 2013-01-06, last commit 2022-11-18, main language C++  
-<sub><sup>big-data, digital-elevation-model, geosciences, geospatial, hydrologic-modeling, hydrology</sup></sub>
+### [crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app) by [pmaji](https://github.com/pmaji)  
+crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.  
+[https://github.com/pmaji/crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app)  
+2.08 stars per week over 266 weeks  
+555 stars, 135 forks, 48 watches  
+[crypto](categories/crypto.md) category, created 2018-01-23, last commit 2022-12-08, main language Python  
+<sub><sup>bitcoin, bitcoin-api, bitcoin-price, cryptocurrency, cryptocurrency-exchanges, cryptocurrency-price-ticker, cryptocurrency-prices, dash, ethereum, ethereum-blockchain, ethereum-price, gdax, gdax-api, gdax-python, litecoin, litecoin-price, plotly, plotly-dash, python, python3</sup></sub>
 
 
-### [auton-survival](https://github.com/autonlab/auton-survival) by [autonlab](https://github.com/autonlab)  
-auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events   
-[http://autonlab.github.io/auton-survival](http://autonlab.github.io/auton-survival)  
-[https://github.com/autonlab/auton-survival](https://github.com/autonlab/auton-survival)  
-1.39 stars per week over 140 weeks  
-194 stars, 48 forks, 6 watches  
-[ml](categories/ml.md) category, created 2020-04-01, last commit 2022-11-05, main language Python  
-<sub><sup>causal-inference, counterfactual-inference, data-science, deep-learning, graphical-models, machine-learning, python, regression, reliability-analysis, survival-analysis, time-to-event</sup></sub>
+### [opendatasets](https://github.com/jovianml/opendatasets) by [jovianml](https://github.com/jovianml)  
+opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.  
+[https://github.com/jovianml/opendatasets](https://github.com/jovianml/opendatasets)  
+1.96 stars per week over 128 weeks  
+252 stars, 123 forks, 13 watches  
+[data](categories/data.md) category, created 2020-09-17, last commit 2022-11-01, main language Python  
+<sub><sup>data-science, datasets, machine-learning, python</sup></sub>
 
 
-### [nbformat](https://github.com/jupyter/nbformat) by [jupyter](https://github.com/jupyter)  
-nbformat: Reference implementation of the Jupyter Notebook format  
-[http://nbformat.readthedocs.io/](http://nbformat.readthedocs.io/)  
-[https://github.com/jupyter/nbformat](https://github.com/jupyter/nbformat)  
-0.48 stars per week over 399 weeks  
-193 stars, 142 forks, 26 watches  
-[jupyter](categories/jupyter.md) category, created 2015-04-09, last commit 2022-12-06, main language Python  
+### [PolyWorldPretrainedNetwork](https://github.com/zorzi-s/polyworldpretrainednetwork) by [zorzi-s](https://github.com/zorzi-s)  
+PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images  
+[https://github.com/zorzi-s/polyworldpretrainednetwork](https://github.com/zorzi-s/polyworldpretrainednetwork)  
+2.02 stars per week over 49 weeks  
+100 stars, 15 forks, 7 watches  
+[gis](categories/gis.md) category, created 2022-03-23, last commit 2022-11-10, main language Python  
 
 
-### [deepparse](https://github.com/graal-research/deepparse) by [graal-research](https://github.com/graal-research)  
-Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning  
-[https://deepparse.org/](https://deepparse.org/)  
-[https://github.com/graal-research/deepparse](https://github.com/graal-research/deepparse)  
-1.46 stars per week over 127 weeks  
-186 stars, 23 forks, 4 watches  
-[gis](categories/gis.md) category, created 2020-07-01, last commit 2022-12-01, main language Python  
-<sub><sup>addresses-parsing, machine-learning, python</sup></sub>
+### [lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp) by [lexpredict](https://github.com/lexpredict)  
+lexpredict-lexnlp: LexNLP by LexPredict  
+[https://github.com/lexpredict/lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp)  
+2.08 stars per week over 283 weeks  
+588 stars, 158 forks, 49 watches  
+[nlp](categories/nlp.md) category, created 2017-09-30, last commit 2022-08-10, main language HTML  
+<sub><sup>analytics, contracts, data, law, legal, legaltech, linguistics, ml, nlp</sup></sub>
 
 
-### [mrab-regex](https://github.com/mrabarnett/mrab-regex) by [mrabarnett](https://github.com/mrabarnett)  
-mrabarnett/mrab-regex  
-[https://github.com/mrabarnett/mrab-regex](https://github.com/mrabarnett/mrab-regex)  
-1.67 stars per week over 109 weeks  
-183 stars, 24 forks, 5 watches  
-[util](categories/util.md) category, created 2020-11-02, last commit 2022-10-31, main language C  
+### [atspy](https://github.com/firmai/atspy) by [firmai](https://github.com/firmai)  
+AtsPy: Automated Time Series Models in Python (by @firmai)  
+[https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631)  
+[https://github.com/firmai/atspy](https://github.com/firmai/atspy)  
+2.94 stars per week over 161 weeks  
+476 stars, 88 forks, 20 watches  
+[time-series](categories/time-series.md) category, created 2020-01-28, last commit 2021-12-18, main language Python  
+<sub><sup>automated, finance, forecasting, forecasting-models, python, time-series, time-series-analysis</sup></sub>
 
 
-### [spopt](https://github.com/pysal/spopt) by [pysal](https://github.com/pysal)  
-spopt: Spatial Optimization  
-[https://pysal.org/spopt/](https://pysal.org/spopt/)  
-[https://github.com/pysal/spopt](https://github.com/pysal/spopt)  
-0.93 stars per week over 196 weeks  
-182 stars, 30 forks, 13 watches  
-[gis](categories/gis.md) category, created 2019-03-01, last commit 2022-11-21, main language Python  
-<sub><sup>facility-location, location-allocation, location-modeling, python, regionalization, resource-planning, routing, spatial-analysis, spatial-optimization, transportation</sup></sub>
+### [quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook) by [jackhidary](https://github.com/jackhidary)  
+quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach  
+[https://github.com/jackhidary/quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook)  
+3.04 stars per week over 209 weeks  
+636 stars, 188 forks, 55 watches  
+[study](categories/study.md) category, created 2019-02-28, last commit 2021-10-14, main language Jupyter Notebook  
+<sub><sup>cirq, google-quantum, qiskit, quantum, quantum-computing, quantum-information, quantum-information-science, quantum-processor, quantum-supremacy, rigetti, sycamore</sup></sub>
 
 
-### [aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client) by [aws](https://github.com/aws)  
-aws/aws-lambda-python-runtime-interface-client  
-[https://github.com/aws/aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client)  
-1.51 stars per week over 118 weeks  
-178 stars, 41 forks, 12 watches  
-[util](categories/util.md) category, created 2020-09-02, last commit 2022-08-16, main language Python  
+### [urbansim](https://github.com/udst/urbansim) by [udst](https://github.com/udst)  
+urbansim: Platform for building statistical models of cities and regions  
+[https://udst.github.io/urbansim/](https://udst.github.io/urbansim/)  
+[https://github.com/udst/urbansim](https://github.com/udst/urbansim)  
+0.85 stars per week over 498 weeks  
+423 stars, 125 forks, 78 watches  
+[sim](categories/sim.md) category, created 2013-08-15, last commit 2020-05-11, main language Python  
 
 
-### [Polygonization-by-Frame-Field-Learning](https://github.com/lydorn/polygonization-by-frame-field-learning) by [lydorn](https://github.com/lydorn)  
-Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.  
-[https://github.com/lydorn/polygonization-by-frame-field-learning](https://github.com/lydorn/polygonization-by-frame-field-learning)  
-1.34 stars per week over 132 weeks  
-177 stars, 50 forks, 11 watches  
-[gis](categories/gis.md) category, created 2020-05-26, last commit 2021-07-08, main language Python  
-<sub><sup>field, frame, polygonization, remote, segmentation, sensing</sup></sub>
+### [fmpsdk](https://github.com/daxm/fmpsdk) by [daxm](https://github.com/daxm)  
+fmpsdk: SDK for Financial Modeling Prep's (FMP) API  
+[https://github.com/daxm/fmpsdk](https://github.com/daxm/fmpsdk)  
+0.79 stars per week over 117 weeks  
+93 stars, 37 forks, 9 watches  
+[finance](categories/finance.md) category, created 2020-12-06, last commit 2022-10-12, main language Python  
 
 
-### [geosnap](https://github.com/spatialucr/geosnap) by [spatialucr](https://github.com/spatialucr)  
-geosnap: The Geospatial Neighborhood Analysis Package  
-[https://spatialucr.github.io/geosnap-guide](https://spatialucr.github.io/geosnap-guide)  
-[https://github.com/spatialucr/geosnap](https://github.com/spatialucr/geosnap)  
-0.8 stars per week over 220 weeks  
-175 stars, 28 forks, 17 watches  
-[gis](categories/gis.md) category, created 2018-09-19, last commit 2022-10-24, main language Python  
+### [sota-extractor](https://github.com/paperswithcode/sota-extractor) by [paperswithcode](https://github.com/paperswithcode)  
+sota-extractor: The SOTA extractor pipeline  
+[https://github.com/paperswithcode/sota-extractor](https://github.com/paperswithcode/sota-extractor)  
+1.14 stars per week over 221 weeks  
+253 stars, 28 forks, 13 watches  
+[data](categories/data.md) category, created 2018-12-07, last commit 2022-03-09, main language Python  
 
 
-### [boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api) by [bowenc0221](https://github.com/bowenc0221)  
-boundary-iou-api: Boundary IoU API (Beta version)  
-[https://github.com/bowenc0221/boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api)  
-1.97 stars per week over 88 weeks  
-174 stars, 17 forks, 8 watches  
-[gis](categories/gis.md) category, created 2021-03-29, last commit 2021-04-05, main language Python  
+### [python-patterns](https://github.com/brandon-rhodes/python-patterns) by [brandon-rhodes](https://github.com/brandon-rhodes)  
+python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes  
+[https://github.com/brandon-rhodes/python-patterns](https://github.com/brandon-rhodes/python-patterns)  
+3.84 stars per week over 265 weeks  
+1,021 stars, 93 forks, 254 watches  
+[util](categories/util.md) category, created 2018-01-31, last commit 2021-01-05, main language Python  
 
 
-### [PyNeuraLogic](https://github.com/lukaszahradnik/pyneuralogic) by [lukaszahradnik](https://github.com/lukaszahradnik)  
-PyNeuraLogic lets you use Python to create Differentiable Logic Programs  
-[https://pyneuralogic.readthedocs.io/](https://pyneuralogic.readthedocs.io/)  
-[https://github.com/lukaszahradnik/pyneuralogic](https://github.com/lukaszahradnik/pyneuralogic)  
-1.66 stars per week over 104 weeks  
-173 stars, 13 forks, 4 watches  
-[math](categories/math.md) category, created 2020-12-06, last commit 2022-12-05, main language Python  
-<sub><sup>deep-learning, differentiable-programming, geometric-deep-learning, graph-neural-networks, logic-programming, machine-learning, python, pytorch, relational-learning</sup></sub>
+### [pycircular](https://github.com/albahnsen/pycircular) by [albahnsen](https://github.com/albahnsen)  
+pycircular is a Python module for circular data analysis  
+[https://github.com/albahnsen/pycircular](https://github.com/albahnsen/pycircular)  
+2.57 stars per week over 24 weeks  
+64 stars, 3 forks, 5 watches  
+[math](categories/math.md) category, created 2022-09-12, last commit 2023-01-21, main language Python  
 
 
-### [address-net](https://github.com/jasonrig/address-net) by [jasonrig](https://github.com/jasonrig)  
-address-net: A package to structure Australian addresses  
-[https://github.com/jasonrig/address-net](https://github.com/jasonrig/address-net)  
-0.82 stars per week over 209 weeks  
-171 stars, 71 forks, 13 watches  
-[gis](categories/gis.md) category, created 2018-12-05, last commit 2020-09-09, main language Python  
-<sub><sup>address-parser, deep-learning, machine-learning, rnn</sup></sub>
+### [high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e) by [mynameisfiber](https://github.com/mynameisfiber)  
+high_performance_python_2e: Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly   
+[https://github.com/mynameisfiber/high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e)  
+2.03 stars per week over 151 weeks  
+306 stars, 100 forks, 6 watches  
+[study](categories/study.md) category, created 2020-04-12, last commit 2023-01-18, main language Python  
+<sub><sup>code-samples, high-performance, oreilly, oreilly-books, python</sup></sub>
 
 
-### [s2orc-doc2json](https://github.com/allenai/s2orc-doc2json) by [allenai](https://github.com/allenai)  
-s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)  
-[https://github.com/allenai/s2orc-doc2json](https://github.com/allenai/s2orc-doc2json)  
-1.64 stars per week over 103 weeks  
-170 stars, 29 forks, 8 watches  
-[nlp](categories/nlp.md) category, created 2020-12-10, last commit 2022-11-18, main language Python  
+### [richdem](https://github.com/r-barnes/richdem) by [r-barnes](https://github.com/r-barnes)  
+richdem: High-performance Terrain and Hydrology Analysis   
+[https://github.com/r-barnes/richdem](https://github.com/r-barnes/richdem)  
+0.38 stars per week over 530 weeks  
+201 stars, 59 forks, 14 watches  
+[gis](categories/gis.md) category, created 2013-01-06, last commit 2022-11-18, main language C++  
+<sub><sup>big-data, digital-elevation-model, geosciences, geospatial, hydrologic-modeling, hydrology</sup></sub>
 
 
-### [zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text) by [yoadtew](https://github.com/yoadtew)  
-zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic  
-[https://github.com/yoadtew/zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text)  
-3.05 stars per week over 53 weeks  
-164 stars, 22 forks, 7 watches  
-[nlp](categories/nlp.md) category, created 2021-11-26, last commit 2022-09-17, main language Python  
+### [pyheat](https://github.com/csurfer/pyheat) by [csurfer](https://github.com/csurfer)  
+pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!  
+[https://github.com/csurfer/pyheat](https://github.com/csurfer/pyheat)  
+2.33 stars per week over 317 weeks  
+740 stars, 40 forks, 13 watches  
+[profiling](categories/profiling.md) category, created 2017-02-04, last commit 2021-09-18, main language Python  
+<sub><sup>heatmap, matplotlib, profiling, python</sup></sub>
 
 
-### [tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments) by [tlkh](https://github.com/tlkh)  
-tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)  
-[https://github.com/tlkh/tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments)  
-2.75 stars per week over 58 weeks  
-160 stars, 17 forks, 9 watches  
-[perf](categories/perf.md) category, created 2021-10-26, last commit 2021-11-15, main language Jupyter Notebook  
-<sub><sup>benchmark, bert, deep-learning, gpu, m1, m1-max, tensorflow</sup></sub>
+### [grade-school-math](https://github.com/openai/grade-school-math) by [openai](https://github.com/openai)  
+openai/grade-school-math  
+[https://github.com/openai/grade-school-math](https://github.com/openai/grade-school-math)  
+4.33 stars per week over 71 weeks  
+310 stars, 65 forks, 9 watches  
+[nlp](categories/nlp.md) category, created 2021-10-20, last commit 2021-11-19, main language Python  
 
 
-### [peartree](https://github.com/kuanb/peartree) by [kuanb](https://github.com/kuanb)  
-peartree: A library for converting transit data into a directed graph for sketch network analysis.  
-[https://github.com/kuanb/peartree](https://github.com/kuanb/peartree)  
-0.61 stars per week over 264 weeks  
-160 stars, 13 forks, 11 watches  
-[gis](categories/gis.md) category, created 2017-11-12, last commit 2021-01-18, main language Python  
-<sub><sup>gis, graphs, gtfs, modeling, network-analysis, spatial-analysis, transit</sup></sub>
+### [data-lineage](https://github.com/tokern/data-lineage) by [tokern](https://github.com/tokern)  
+data-lineage: Generate and Visualize Data Lineage from query history  
+[https://tokern.io/data-lineage/](https://tokern.io/data-lineage/)  
+[https://github.com/tokern/data-lineage](https://github.com/tokern/data-lineage)  
+1.58 stars per week over 154 weeks  
+244 stars, 28 forks, 8 watches  
+[data](categories/data.md) category, created 2020-03-17, last commit 2022-05-02, main language Python  
+<sub><sup>data-governance, data-lineage, jupyter, postgresql, python</sup></sub>
 
 
-### [calm-notebooks](https://github.com/koaning/calm-notebooks) by [koaning](https://github.com/koaning)  
-calm-notebooks: notebooks that are used at calmcode.io  
-[https://calmcode.io](https://calmcode.io)  
-[https://github.com/koaning/calm-notebooks](https://github.com/koaning/calm-notebooks)  
-1.09 stars per week over 144 weeks  
-157 stars, 133 forks, 7 watches  
-[study](categories/study.md) category, created 2020-03-01, last commit 2021-10-21, main language Jupyter Notebook  
+### [raster4ml](https://github.com/remotesensinglab/raster4ml) by [remotesensinglab](https://github.com/remotesensinglab)  
+raster4ml: A geospatial raster processing library for machine learning  
+[https://raster4ml.readthedocs.io](https://raster4ml.readthedocs.io)  
+[https://github.com/remotesensinglab/raster4ml](https://github.com/remotesensinglab/raster4ml)  
+3.13 stars per week over 33 weeks  
+106 stars, 12 forks, 4 watches  
+[gis](categories/gis.md) category, created 2022-07-11, last commit 2022-11-01, main language Python  
+<sub><sup>agriculture-research, data-science, geospatial-data, machine-learning, python, remote-sensing, vegetation, vegetation-index</sup></sub>
 
 
-### [DeepTime](https://github.com/salesforce/deeptime) by [salesforce](https://github.com/salesforce)  
-PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting  
-[https://github.com/salesforce/deeptime](https://github.com/salesforce/deeptime)  
-6.66 stars per week over 23 weeks  
-155 stars, 22 forks, 5 watches  
-[time-series](categories/time-series.md) category, created 2022-06-27, last commit 2022-11-03, main language Python  
-<sub><sup>deep-learning, forecasting, implicit-neural-representation, meta-learning, time-series, time-series-forecasting, time-series-regression</sup></sub>
+### [golly](https://github.com/alephalpha/golly) by [alephalpha](https://github.com/alephalpha)  
+Golly, a Game of Life simulator (unofficial mirror from SourceForge)  
+[http://sourceforge.net/projects/golly/](http://sourceforge.net/projects/golly/)  
+[https://github.com/alephalpha/golly](https://github.com/alephalpha/golly)  
+0.12 stars per week over 242 weeks  
+29 stars, 9 forks, 5 watches  
+[sim](categories/sim.md) category, created 2018-07-10, last commit 2023-02-25, main language C++  
+<sub><sup>cellular-automata, game-of-life</sup></sub>
 
 
-### [graph-force](https://github.com/h4kor/graph-force) by [h4kor](https://github.com/h4kor)  
-graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.  
-[https://pypi.org/project/graph-force/](https://pypi.org/project/graph-force/)  
-[https://github.com/h4kor/graph-force](https://github.com/h4kor/graph-force)  
-118 stars per week over 1 weeks  
-152 stars, 0 forks, 9 watches  
-[graph](categories/graph.md) category, created 2022-11-28, last commit 2022-11-28, main language Rust  
-<sub><sup>force-directed-graphs, graph-algorithms, python, python3</sup></sub>
+### [airflow-provider-ray](https://github.com/anyscale/airflow-provider-ray) by [anyscale](https://github.com/anyscale)  
+airflow-provider-ray: Ray provider for Apache Airflow  
+[https://github.com/anyscale/airflow-provider-ray](https://github.com/anyscale/airflow-provider-ray)  
+0.31 stars per week over 104 weeks  
+32 stars, 10 forks, 13 watches  
+[ml-ops](categories/ml-ops.md) category, created 2021-03-05, last commit 2021-10-03, main language Python  
 
 
-### [activitysim](https://github.com/activitysim/activitysim)  
-activitysim: An Open Platform for Activity-Based Travel Modeling  
-[https://activitysim.github.io](https://activitysim.github.io)  
-[https://github.com/activitysim/activitysim](https://github.com/activitysim/activitysim)  
-0.32 stars per week over 442 weeks  
-143 stars, 86 forks, 42 watches  
-[sim](categories/sim.md) category, created 2014-06-18, last commit 2022-09-14, main language Jupyter Notebook  
-<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, python, travel-modeling</sup></sub>
+### [valhalla-nmt](https://github.com/jerryyli/valhalla-nmt) by [jerryyli](https://github.com/jerryyli)  
+valhalla-nmt: Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"  
+[https://github.com/jerryyli/valhalla-nmt](https://github.com/jerryyli/valhalla-nmt)  
+0.46 stars per week over 49 weeks  
+23 stars, 4 forks, 1 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-03-22, last commit 2023-02-19, main language Python  
+<sub><sup>computer-vision, machine-translation, multimodal-learning, natural-language-processing</sup></sub>
 
 
 ### [auto-tensorflow](https://github.com/rafiqhasan/auto-tensorflow) by [rafiqhasan](https://github.com/rafiqhasan)  
 auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/  
 [https://github.com/rafiqhasan/auto-tensorflow](https://github.com/rafiqhasan/auto-tensorflow)  
-1.9 stars per week over 74 weeks  
-141 stars, 31 forks, 12 watches  
-[ml-dl](categories/ml-dl.md) category, created 2021-07-05, last commit 2022-10-31, main language Python  
+2.0 stars per week over 86 weeks  
+174 stars, 34 forks, 13 watches  
+[ml-dl](categories/ml-dl.md) category, created 2021-07-05, last commit 2022-12-09, main language Python  
 <sub><sup>auto-tensorflow, automl, autotensorflow, deeplearning, machine-learning, machinelearning, neural-networks, tensorflow, tfx</sup></sub>
 
 
-### [pyscript-cli](https://github.com/pyscript/pyscript-cli) by [pyscript](https://github.com/pyscript)  
-pyscript-cli: A CLI for PyScript  
-[https://github.com/pyscript/pyscript-cli](https://github.com/pyscript/pyscript-cli)  
-4.45 stars per week over 31 weeks  
-140 stars, 14 forks, 11 watches  
-[util](categories/util.md) category, created 2022-05-01, last commit 2022-12-05, main language Python  
+### [Blackstone](https://github.com/iclrandd/blackstone) by [iclrandd](https://github.com/iclrandd)  
+Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.  
+[https://research.iclr.co.uk](https://research.iclr.co.uk)  
+[https://github.com/iclrandd/blackstone](https://github.com/iclrandd/blackstone)  
+2.86 stars per week over 205 weeks  
+588 stars, 93 forks, 38 watches  
+[nlp](categories/nlp.md) category, created 2019-03-25, last commit 2021-01-31, main language Python  
+<sub><sup>caselaw, law, legaltech, nlp, spacy-models</sup></sub>
 
 
-### [pypistats](https://github.com/hugovk/pypistats) by [hugovk](https://github.com/hugovk)  
-pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages  
-[https://pypistats.org/api/](https://pypistats.org/api/)  
-[https://github.com/hugovk/pypistats](https://github.com/hugovk/pypistats)  
-0.62 stars per week over 219 weeks  
-137 stars, 25 forks, 4 watches  
-[util](categories/util.md) category, created 2018-09-22, last commit 2022-12-03, main language Python  
-<sub><sup>api, cli, command-line, command-line-tool, downloads, hacktoberfest, pypi, python, python3, statistics, stats</sup></sub>
+### [pytorch_image_classification](https://github.com/hysts/pytorch_image_classification) by [hysts](https://github.com/hysts)  
+pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet  
+[https://github.com/hysts/pytorch_image_classification](https://github.com/hysts/pytorch_image_classification)  
+4.32 stars per week over 273 weeks  
+1,179 stars, 292 forks, 27 watches  
+[ml-dl](categories/ml-dl.md) category, created 2017-12-09, last commit 2021-12-12, main language Python  
+<sub><sup>cifar10, computer-vision, fashion-mnist, imagenet, pytorch</sup></sub>
 
 
-### [cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience) by [crmne](https://github.com/crmne)  
-cookiecutter-modern-datascience: Start a data science project with modern tools  
-[https://github.com/crmne/cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience)  
-1.06 stars per week over 126 weeks  
-134 stars, 27 forks, 3 watches  
-[template](categories/template.md) category, created 2020-07-06, last commit 2022-06-10, main language Python  
-<sub><sup>cookiecutter, cookiecutter-data-science, cookiecutter-template, datascience, python</sup></sub>
+### [AIQC](https://github.com/aiqc/aiqc) by [aiqc](https://github.com/aiqc)  
+AIQC: End-to-end deep learning on your desktop or server.  
+[https://github.com/aiqc/aiqc](https://github.com/aiqc/aiqc)  
+0.77 stars per week over 117 weeks  
+91 stars, 20 forks, 4 watches  
+[ml-ops](categories/ml-ops.md) category, created 2020-12-02, last commit 2022-12-16, main language Jupyter Notebook  
 
 
-### [markov_clustering](https://github.com/guyallard/markov_clustering) by [guyallard](https://github.com/guyallard)  
-markov_clustering: markov clustering in python  
-[https://github.com/guyallard/markov_clustering](https://github.com/guyallard/markov_clustering)  
-0.49 stars per week over 271 weeks  
-132 stars, 33 forks, 9 watches  
-[graph](categories/graph.md) category, created 2017-09-27, last commit 2018-12-11, main language Python  
-<sub><sup>clustering, markov-clustering, networks, python</sup></sub>
+### [jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard) by [chaoleili](https://github.com/chaoleili)  
+jupyterlab_tensorboard: Tensorboard extension for jupyterlab.  
+[https://github.com/chaoleili/jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard)  
+1.25 stars per week over 237 weeks  
+297 stars, 36 forks, 11 watches  
+[jupyter](categories/jupyter.md) category, created 2018-08-14, last commit 2022-07-18, main language TypeScript  
+<sub><sup>jupyterlab, jupyterlab-extension, tensorboard</sup></sub>
 
 
-### [openfisca-core](https://github.com/openfisca/openfisca-core) by [openfisca](https://github.com/openfisca)  
-openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.  
-[https://openfisca.org](https://openfisca.org)  
-[https://github.com/openfisca/openfisca-core](https://github.com/openfisca/openfisca-core)  
-0.28 stars per week over 466 weeks  
-131 stars, 72 forks, 24 watches  
-[sim](categories/sim.md) category, created 2013-12-29, last commit 2022-12-01, main language Python  
-<sub><sup>better-rules, legislation-as-code, microsimulation, rules-as-code</sup></sub>
+### [poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin) by [tiangolo](https://github.com/tiangolo)  
+poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.  
+[https://github.com/tiangolo/poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin)  
+2.98 stars per week over 92 weeks  
+275 stars, 24 forks, 5 watches  
+[util](categories/util.md) category, created 2021-05-27, last commit 2021-05-28, main language Python  
+<sub><sup>packaging, packaging-for-pypi, pypi, python, python-poetry, python3</sup></sub>
+
+
+### [chartpy](https://github.com/cuemacro/chartpy) by [cuemacro](https://github.com/cuemacro)  
+chartpy: Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more  
+[https://github.com/cuemacro/chartpy](https://github.com/cuemacro/chartpy)  
+1.48 stars per week over 343 weeks  
+510 stars, 98 forks, 48 watches  
+[viz](categories/viz.md) category, created 2016-08-03, last commit 2022-11-02, main language Python  
+<sub><sup>bokeh, chart, matplotlib, plotly, plotting</sup></sub>
 
 
-### [unprompted](https://github.com/thereforegames/unprompted) by [thereforegames](https://github.com/thereforegames)  
-unprompted: Text generator written for Stable Diffusion workflows.  
-[https://github.com/thereforegames/unprompted](https://github.com/thereforegames/unprompted)  
-24 stars per week over 5 weeks  
-129 stars, 10 forks, 4 watches  
-[diffusion](categories/diffusion.md) category, created 2022-10-31, last commit 2022-12-07, main language Python  
+### [domino](https://github.com/hazyresearch/domino) by [hazyresearch](https://github.com/hazyresearch)  
+hazyresearch/domino  
+[https://github.com/hazyresearch/domino](https://github.com/hazyresearch/domino)  
+1.58 stars per week over 65 weeks  
+104 stars, 16 forks, 20 watches  
+[ml](categories/ml.md) category, created 2021-11-29, last commit 2022-08-02, main language Python  
 
 
-### [pyogrio](https://github.com/geopandas/pyogrio) by [geopandas](https://github.com/geopandas)  
-pyogrio: Vectorized vector I/O using OGR  
-[https://pyogrio.readthedocs.io](https://pyogrio.readthedocs.io)  
-[https://github.com/geopandas/pyogrio](https://github.com/geopandas/pyogrio)  
-0.92 stars per week over 140 weeks  
-129 stars, 8 forks, 8 watches  
-[gis](categories/gis.md) category, created 2020-03-27, last commit 2022-11-14, main language Python  
+### [lex-glue](https://github.com/coastalcph/lex-glue) by [coastalcph](https://github.com/coastalcph)  
+lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English  
+[https://github.com/coastalcph/lex-glue](https://github.com/coastalcph/lex-glue)  
+1.39 stars per week over 74 weeks  
+104 stars, 24 forks, 7 watches  
+[nlp](categories/nlp.md) category, created 2021-09-27, last commit 2022-11-04, main language Python  
+<sub><sup>benchmark, lawtech, legal, legaltech, nlp</sup></sub>
 
 
-### [jsontopydantic](https://github.com/brokenloop/jsontopydantic) by [brokenloop](https://github.com/brokenloop)  
-jsontopydantic: Web tool for generating Pydantic models from JSON objects  
-[https://jsontopydantic.com](https://jsontopydantic.com)  
-[https://github.com/brokenloop/jsontopydantic](https://github.com/brokenloop/jsontopydantic)  
-1.19 stars per week over 105 weeks  
-126 stars, 7 forks, 3 watches  
-[util](categories/util.md) category, created 2020-11-28, last commit 2022-05-13, main language TypeScript  
+### [prefect-anyscale](https://github.com/anyscale/prefect-anyscale) by [anyscale](https://github.com/anyscale)  
+prefect-anyscale: Prefect integration with Anyscale  
+[https://github.com/anyscale/prefect-anyscale](https://github.com/anyscale/prefect-anyscale)  
+0.36 stars per week over 16 weeks  
+6 stars, 1 forks, 3 watches  
+[ml-ops](categories/ml-ops.md) category, created 2022-11-07, last commit 2023-03-02, main language Python  
 
 
-### [python-collab-template](https://github.com/eugeneyan/python-collab-template) by [eugeneyan](https://github.com/eugeneyan)  
-python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.  
-[https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/](https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/)  
-[https://github.com/eugeneyan/python-collab-template](https://github.com/eugeneyan/python-collab-template)  
-0.97 stars per week over 128 weeks  
-124 stars, 35 forks, 4 watches  
-[template](categories/template.md) category, created 2020-06-21, last commit 2022-07-02, main language Python  
-<sub><sup>coverage, github-actions, hacktoberfest, linting, makefile, python, type-checking, unit-testing</sup></sub>
+### [crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python) by [dylanhogg](https://github.com/dylanhogg)  
+crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning  
+[https://www.awesomepython.org/](https://www.awesomepython.org/)  
+[https://github.com/dylanhogg/crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python)  
+0.38 stars per week over 141 weeks  
+53 stars, 8 forks, 3 watches  
+[study](categories/study.md) category, created 2020-06-20, last commit 2023-03-03, main language HTML  
+<sub><sup>awesome-list, data, machine-learning, natural-language-processing, python, python-data, python-frameworks, python-library, python-machine-learning, python-nlp</sup></sub>
 
 
-### [pytrait](https://github.com/xrudelis/pytrait) by [xrudelis](https://github.com/xrudelis)  
-pytrait: Traits for Python3  
-[https://github.com/xrudelis/pytrait](https://github.com/xrudelis/pytrait)  
-2.22 stars per week over 54 weeks  
-121 stars, 3 forks, 3 watches  
-[util](categories/util.md) category, created 2021-11-21, last commit 2021-11-27, main language Python  
+### [byt5](https://github.com/google-research/byt5) by [google-research](https://github.com/google-research)  
+google-research/byt5  
+[https://github.com/google-research/byt5](https://github.com/google-research/byt5)  
+4.46 stars per week over 92 weeks  
+413 stars, 25 forks, 11 watches  
+[nlp](categories/nlp.md) category, created 2021-05-26, last commit 2022-03-02, main language Python  
 
 
-### [fastai-serving](https://github.com/developmentseed/fastai-serving) by [developmentseed](https://github.com/developmentseed)  
-fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving  
-[https://github.com/developmentseed/fastai-serving](https://github.com/developmentseed/fastai-serving)  
-0.67 stars per week over 179 weeks  
-121 stars, 11 forks, 8 watches  
-[web](categories/web.md) category, created 2019-07-01, last commit 2020-02-10, main language Python  
-<sub><sup>deep-learning, docker, machine-learning, python, pytorch</sup></sub>
+### [ottr](https://github.com/airbnb/ottr) by [airbnb](https://github.com/airbnb)  
+ottr: Serverless Public Key Infrastructure Framework  
+[https://github.com/airbnb/ottr](https://github.com/airbnb/ottr)  
+3.29 stars per week over 79 weeks  
+261 stars, 30 forks, 7 watches  
+[util](categories/util.md) category, created 2021-08-27, last commit 2022-01-04, main language Python  
 
 
-### [torch-points3d](https://github.com/nicolas-chaulet/torch-points3d) by [nicolas-chaulet](https://github.com/nicolas-chaulet)  
-torch-points3d: Pytorch framework for doing deep learning on point clouds.  
-[https://torch-points3d.readthedocs.io/en/latest/](https://torch-points3d.readthedocs.io/en/latest/)  
-[https://github.com/nicolas-chaulet/torch-points3d](https://github.com/nicolas-chaulet/torch-points3d)  
-2.49 stars per week over 47 weeks  
-118 stars, 30 forks, 0 watches  
-[ml](categories/ml.md) category, created 2022-01-09, last commit 2021-12-10, main language None  
+### [tigerlily](https://github.com/benedekrozemberczki/tigerlily) by [benedekrozemberczki](https://github.com/benedekrozemberczki)  
+TigerLily: Finding drug interactions in silico with the Graph.  
+[https://github.com/benedekrozemberczki/tigerlily](https://github.com/benedekrozemberczki/tigerlily)  
+1.7 stars per week over 52 weeks  
+90 stars, 9 forks, 1 watches  
+[ml-dl](categories/ml-dl.md) category, created 2022-02-28, last commit 2022-12-17, main language Jupyter Notebook  
+<sub><sup>biology, ddi, deep-learning, drug-drug-interaction, embedding, gradient-boosting, graph, graph-database, graph-embedding, graph-machine-learning, heterogeneous-graph, knowledge-graph, machine-learning, network-science, node, node-embedding, pharmaceuticals, tigergraph, unsupervised-learning</sup></sub>
 
 
-### [pyminiaudio](https://github.com/irmen/pyminiaudio) by [irmen](https://github.com/irmen)  
-pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library  
-[https://github.com/irmen/pyminiaudio](https://github.com/irmen/pyminiaudio)  
-0.65 stars per week over 179 weeks  
-117 stars, 13 forks, 3 watches  
-[util](categories/util.md) category, created 2019-06-30, last commit 2022-11-15, main language C  
+### [LOD2BuildingModel](https://github.com/gdaosu/lod2buildingmodel) by [gdaosu](https://github.com/gdaosu)  
+LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto  
+[https://github.com/gdaosu/lod2buildingmodel](https://github.com/gdaosu/lod2buildingmodel)  
+1.32 stars per week over 78 weeks  
+104 stars, 23 forks, 9 watches  
+[gis](categories/gis.md) category, created 2021-08-30, last commit 2022-07-21, main language Python  
 
 
-### [geojson-pydantic](https://github.com/developmentseed/geojson-pydantic) by [developmentseed](https://github.com/developmentseed)  
-geojson-pydantic: Pydantic data models for the GeoJSON spec  
-[https://github.com/developmentseed/geojson-pydantic](https://github.com/developmentseed/geojson-pydantic)  
-0.85 stars per week over 132 weeks  
-113 stars, 27 forks, 11 watches  
-[gis](categories/gis.md) category, created 2020-05-21, last commit 2022-11-02, main language Python  
-<sub><sup>geojson, geojson-spec, pydantic</sup></sub>
+### [axcell](https://github.com/paperswithcode/axcell) by [paperswithcode](https://github.com/paperswithcode)  
+axcell: Tools for extracting tables and results from Machine Learning papers  
+[https://github.com/paperswithcode/axcell](https://github.com/paperswithcode/axcell)  
+1.81 stars per week over 192 weeks  
+349 stars, 56 forks, 13 watches  
+[util](categories/util.md) category, created 2019-06-27, last commit 2021-06-23, main language Python  
 
 
-### [earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer) by [amazon-science](https://github.com/amazon-science)  
-earth-forecasting-transformer: Official implementation of Earthformer  
-[https://github.com/amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer)  
-9.03 stars per week over 12 weeks  
-111 stars, 19 forks, 7 watches  
-[gis](categories/gis.md) category, created 2022-09-12, last commit 2022-12-01, main language Jupyter Notebook  
+### [geolambda](https://github.com/developmentseed/geolambda) by [developmentseed](https://github.com/developmentseed)  
+geolambda: Create and deploy Geospatial AWS Lambda functions  
+[https://github.com/developmentseed/geolambda](https://github.com/developmentseed/geolambda)  
+0.93 stars per week over 304 weeks  
+282 stars, 85 forks, 50 watches  
+[gis](categories/gis.md) category, created 2017-05-02, last commit 2021-02-16, main language Dockerfile  
 
 
-### [socialways](https://github.com/crowdbotp/socialways) by [crowdbotp](https://github.com/crowdbotp)  
-socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)  
-[https://github.com/crowdbotp/socialways](https://github.com/crowdbotp/socialways)  
-0.58 stars per week over 189 weeks  
-109 stars, 45 forks, 9 watches  
-[sim](categories/sim.md) category, created 2019-04-23, last commit 2020-03-20, main language Python  
-<sub><sup>crowd-simulation, gan, generative-adversarial-network, human-trajectory-prediction, info-gan, pedestrian, pedestrian-trajectories, prediction-model, self-driving-car, social-gan, social-navigation, social-robots, social-ways, trajectory-forecasting, trajectory-prediction</sup></sub>
+### [python-gedcom](https://github.com/nickreynke/python-gedcom) by [nickreynke](https://github.com/nickreynke)  
+python-gedcom: Python module for parsing, analyzing, and manipulating GEDCOM files  
+[https://nickreynke.github.io/python-gedcom/gedcom/index.html](https://nickreynke.github.io/python-gedcom/gedcom/index.html)  
+[https://github.com/nickreynke/python-gedcom](https://github.com/nickreynke/python-gedcom)  
+0.45 stars per week over 268 weeks  
+122 stars, 31 forks, 16 watches  
+[data](categories/data.md) category, created 2018-01-09, last commit 2021-06-03, main language Python  
+<sub><sup>gedcom, gedcom-parser, parser, python</sup></sub>
 
 
-### [weather-tools](https://github.com/google/weather-tools) by [google](https://github.com/google)  
-weather-tools: Apache Beam pipelines to make weather data accessible and useful.  
-[https://weather-tools.readthedocs.io/](https://weather-tools.readthedocs.io/)  
-[https://github.com/google/weather-tools](https://github.com/google/weather-tools)  
-1.99 stars per week over 54 weeks  
-108 stars, 23 forks, 12 watches  
-[data](categories/data.md) category, created 2021-11-22, last commit 2022-12-06, main language Python  
-<sub><sup>apache-beam, python, weather</sup></sub>
+### [cowait](https://github.com/backtick-se/cowait) by [backtick-se](https://github.com/backtick-se)  
+cowait: Containerized distributed programming framework for Python  
+[https://cowait.io](https://cowait.io)  
+[https://github.com/backtick-se/cowait](https://github.com/backtick-se/cowait)  
+0.3 stars per week over 180 weeks  
+55 stars, 5 forks, 8 watches  
+[util](categories/util.md) category, created 2019-09-18, last commit 2022-09-22, main language Python  
+<sub><sup>dask, data-engineering, data-science, docker, kubernetes, python, spark, task-scheduler, workflow-engine</sup></sub>
 
 
-### [mutate](https://github.com/infinitylogesh/mutate) by [infinitylogesh](https://github.com/infinitylogesh)  
-mutate: A library to synthesize text datasets using Large Language Models (LLM)  
-[https://github.com/infinitylogesh/mutate](https://github.com/infinitylogesh/mutate)  
-2.14 stars per week over 49 weeks  
-105 stars, 7 forks, 3 watches  
-[nlp](categories/nlp.md) category, created 2021-12-29, last commit 2022-04-18, main language Python  
-<sub><sup>data-augmentation, data-labeling, language-model, nlp-library, text-generation</sup></sub>
+### [pynamical](https://github.com/gboeing/pynamical) by [gboeing](https://github.com/gboeing)  
+Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.  
+[https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/](https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/)  
+[https://github.com/gboeing/pynamical](https://github.com/gboeing/pynamical)  
+1.29 stars per week over 440 weeks  
+567 stars, 109 forks, 31 watches  
+[sim](categories/sim.md) category, created 2014-09-28, last commit 2022-05-24, main language Python  
+<sub><sup>animation, bifurcation-diagram, chaos, cobweb-plot, fractal, fractals, ipynb, logistic, math, matplotlib, modeling, nonlinear, numba, numpy, pandas, phase-diagram, physics, python, systems, visualization</sup></sub>
 
 
-### [SubredditMediaDownloader](https://github.com/psycoguana/subredditmediadownloader) by [psycoguana](https://github.com/psycoguana)  
-SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎  
-[https://github.com/psycoguana/subredditmediadownloader](https://github.com/psycoguana/subredditmediadownloader)  
-2.45 stars per week over 41 weeks  
-102 stars, 6 forks, 3 watches  
-[data](categories/data.md) category, created 2022-02-18, last commit 2022-11-20, main language Python  
+### [forward_forward_vhts](https://github.com/pgniewko/forward_forward_vhts) by [pgniewko](https://github.com/pgniewko)  
+forward_forward_vhts: The Forward-Forward Algorithm for Drug Discovery  
+[https://github.com/pgniewko/forward_forward_vhts](https://github.com/pgniewko/forward_forward_vhts)  
+2.97 stars per week over 9 weeks  
+28 stars, 5 forks, 1 watches  
+[ml](categories/ml.md) category, created 2022-12-29, last commit 2022-12-30, main language Jupyter Notebook  
 
 
-### [domino](https://github.com/hazyresearch/domino) by [hazyresearch](https://github.com/hazyresearch)  
-hazyresearch/domino  
-[https://github.com/hazyresearch/domino](https://github.com/hazyresearch/domino)  
-1.84 stars per week over 53 weeks  
-98 stars, 14 forks, 20 watches  
-[ml](categories/ml.md) category, created 2021-11-29, last commit 2022-08-02, main language Python  
+### [apilogs](https://github.com/rpgreen/apilogs) by [rpgreen](https://github.com/rpgreen)  
+apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs  
+[https://github.com/rpgreen/apilogs](https://github.com/rpgreen/apilogs)  
+0.74 stars per week over 338 weeks  
+249 stars, 19 forks, 9 watches  
+[util](categories/util.md) category, created 2016-09-07, last commit 2019-11-13, main language Python  
+<sub><sup>api, api-gateway, aws, aws-apigateway, aws-lambda, cloudwatch-logs, gateway, lambda, logging</sup></sub>
 
 
-### [raster4ml](https://github.com/remotesensinglab/raster4ml) by [remotesensinglab](https://github.com/remotesensinglab)  
-raster4ml: A geospatial raster processing library for machine learning  
-[https://raster4ml.readthedocs.io](https://raster4ml.readthedocs.io)  
-[https://github.com/remotesensinglab/raster4ml](https://github.com/remotesensinglab/raster4ml)  
-4.56 stars per week over 21 weeks  
-97 stars, 11 forks, 4 watches  
-[gis](categories/gis.md) category, created 2022-07-11, last commit 2022-11-01, main language Python  
-<sub><sup>agriculture-research, data-science, geospatial-data, machine-learning, python, remote-sensing, vegetation, vegetation-index</sup></sub>
+### [Deep-Video-Inpainting](https://github.com/mcahny/deep-video-inpainting) by [mcahny](https://github.com/mcahny)  
+Deep-Video-Inpainting: Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)  
+[https://github.com/mcahny/deep-video-inpainting](https://github.com/mcahny/deep-video-inpainting)  
+2.34 stars per week over 197 weeks  
+463 stars, 88 forks, 14 watches  
+[ml-dl](categories/ml-dl.md) category, created 2019-05-22, last commit 2020-12-10, main language Python  
 
 
-### [fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials) by [hazyresearch](https://github.com/hazyresearch)  
-fonduer-tutorials: A collection of simple tutorials for using Fonduer  
-[https://github.com/HazyResearch/fonduer](https://github.com/HazyResearch/fonduer)  
-[https://github.com/hazyresearch/fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials)  
-0.39 stars per week over 245 weeks  
-96 stars, 23 forks, 18 watches  
-[nlp](categories/nlp.md) category, created 2018-03-23, last commit 2020-05-27, main language Jupyter Notebook  
+### [stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20) by [rasbt](https://github.com/rasbt)  
+stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)  
+[http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/)  
+[https://github.com/rasbt/stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20)  
+3.21 stars per week over 162 weeks  
+523 stars, 154 forks, 36 watches  
+[study](categories/study.md) category, created 2020-01-20, last commit 2020-05-01, main language Jupyter Notebook  
 
 
-### [LOD2BuildingModel](https://github.com/gdaosu/lod2buildingmodel) by [gdaosu](https://github.com/gdaosu)  
-LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto  
-[https://github.com/gdaosu/lod2buildingmodel](https://github.com/gdaosu/lod2buildingmodel)  
-1.45 stars per week over 66 weeks  
-96 stars, 23 forks, 9 watches  
-[gis](categories/gis.md) category, created 2021-08-30, last commit 2022-07-21, main language Python  
+### [zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text) by [yoadtew](https://github.com/yoadtew)  
+zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic  
+[https://github.com/yoadtew/zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text)  
+2.75 stars per week over 66 weeks  
+182 stars, 26 forks, 7 watches  
+[nlp](categories/nlp.md) category, created 2021-11-26, last commit 2022-09-17, main language Python  
 
 
 ### [forestatrisk](https://github.com/ghislainv/forestatrisk) by [ghislainv](https://github.com/ghislainv)  
 forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation  
 [https://ecology.ghislainv.fr/forestatrisk](https://ecology.ghislainv.fr/forestatrisk)  
 [https://github.com/ghislainv/forestatrisk](https://github.com/ghislainv/forestatrisk)  
-0.3 stars per week over 313 weeks  
-95 stars, 20 forks, 4 watches  
+0.29 stars per week over 326 weeks  
+96 stars, 21 forks, 4 watches  
 [gis](categories/gis.md) category, created 2016-12-01, last commit 2022-08-23, main language Python  
 <sub><sup>biodiversity-scenario, co2-emissions, deforestation, deforestation-risk, forecasting, forest-cover-change, ipbes, ipcc, land-use-change, protected-areas, python, redd, roads, spatial-analysis, spatial-autocorrelation, spatial-modelling, tropical-forests</sup></sub>
 
 
-### [lex-glue](https://github.com/coastalcph/lex-glue) by [coastalcph](https://github.com/coastalcph)  
-lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English  
-[https://github.com/coastalcph/lex-glue](https://github.com/coastalcph/lex-glue)  
-1.51 stars per week over 62 weeks  
-94 stars, 22 forks, 6 watches  
-[nlp](categories/nlp.md) category, created 2021-09-27, last commit 2022-11-04, main language Python  
-<sub><sup>benchmark, lawtech, legal, legaltech, nlp</sup></sub>
+### [tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments) by [tlkh](https://github.com/tlkh)  
+tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)  
+[https://github.com/tlkh/tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments)  
+2.73 stars per week over 70 weeks  
+193 stars, 20 forks, 11 watches  
+[perf](categories/perf.md) category, created 2021-10-26, last commit 2021-11-15, main language Jupyter Notebook  
+<sub><sup>benchmark, bert, deep-learning, gpu, m1, m1-max, tensorflow</sup></sub>
 
 
-### [gds_env](https://github.com/darribas/gds_env) by [darribas](https://github.com/darribas)  
-gds_env: A containerised platform for Geographic Data Science  
-[https://darribas.org/gds_env](https://darribas.org/gds_env)  
-[https://github.com/darribas/gds_env](https://github.com/darribas/gds_env)  
-0.28 stars per week over 329 weeks  
-93 stars, 36 forks, 10 watches  
-[gis](categories/gis.md) category, created 2016-08-12, last commit 2022-06-08, main language Jupyter Notebook  
-<sub><sup>docker, geographic-data-science, jupyter-lab, latex, python, r</sup></sub>
+### [STTN](https://github.com/researchmm/sttn) by [researchmm](https://github.com/researchmm)  
+[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting  
+[https://arxiv.org/abs/2007.10247](https://arxiv.org/abs/2007.10247)  
+[https://github.com/researchmm/sttn](https://github.com/researchmm/sttn)  
+2.62 stars per week over 138 weeks  
+362 stars, 72 forks, 20 watches  
+[ml-dl](categories/ml-dl.md) category, created 2020-07-10, last commit 2021-07-26, main language Jupyter Notebook  
+<sub><sup>completing-videos, spatial-temporal, transformer, video-inpainting</sup></sub>
 
 
-### [tigerlily](https://github.com/benedekrozemberczki/tigerlily) by [benedekrozemberczki](https://github.com/benedekrozemberczki)  
-TigerLily: Finding drug interactions in silico with the Graph.  
-[https://github.com/benedekrozemberczki/tigerlily](https://github.com/benedekrozemberczki/tigerlily)  
-2.23 stars per week over 40 weeks  
-90 stars, 9 forks, 1 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-02-28, last commit 2022-11-06, main language Jupyter Notebook  
-<sub><sup>biology, ddi, deep-learning, drug-drug-interaction, embedding, gradient-boosting, graph, graph-database, graph-embedding, graph-machine-learning, heterogeneous-graph, knowledge-graph, machine-learning, network-science, node, node-embedding, pharmaceuticals, tigergraph, unsupervised-learning</sup></sub>
+### [fastapi_client](https://github.com/dmontagu/fastapi_client) by [dmontagu](https://github.com/dmontagu)  
+fastapi_client: FastAPI client generator  
+[https://github.com/dmontagu/fastapi_client](https://github.com/dmontagu/fastapi_client)  
+1.58 stars per week over 187 weeks  
+296 stars, 39 forks, 8 watches  
+[web](categories/web.md) category, created 2019-08-03, last commit 2021-02-11, main language Python  
 
 
-### [autotyping](https://github.com/jellezijlstra/autotyping) by [jellezijlstra](https://github.com/jellezijlstra)  
-jellezijlstra/autotyping  
-[https://github.com/jellezijlstra/autotyping](https://github.com/jellezijlstra/autotyping)  
-1.16 stars per week over 75 weeks  
-88 stars, 7 forks, 3 watches  
-[typing](categories/typing.md) category, created 2021-06-25, last commit 2022-10-13, main language Python  
+### [populationsim](https://github.com/activitysim/populationsim) by [activitysim](https://github.com/activitysim)  
+populationsim: An Open Platform for Population Synthesis  
+[https://activitysim.github.io/populationsim](https://activitysim.github.io/populationsim)  
+[https://github.com/activitysim/populationsim](https://github.com/activitysim/populationsim)  
+0.13 stars per week over 315 weeks  
+40 stars, 28 forks, 11 watches  
+[sim](categories/sim.md) category, created 2017-02-14, last commit 2021-11-19, main language Jupyter Notebook  
+<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, population-synthesis, python</sup></sub>
 
 
-### [AIQC](https://github.com/aiqc/aiqc) by [aiqc](https://github.com/aiqc)  
-AIQC: End-to-end deep learning on your desktop or server.  
-[https://github.com/aiqc/aiqc](https://github.com/aiqc/aiqc)  
-0.84 stars per week over 105 weeks  
-88 stars, 19 forks, 4 watches  
-[ml-ops](categories/ml-ops.md) category, created 2020-12-02, last commit 2022-11-23, main language Jupyter Notebook  
+### [peartree](https://github.com/kuanb/peartree) by [kuanb](https://github.com/kuanb)  
+peartree: A library for converting transit data into a directed graph for sketch network analysis.  
+[https://github.com/kuanb/peartree](https://github.com/kuanb/peartree)  
+0.69 stars per week over 277 weeks  
+192 stars, 17 forks, 13 watches  
+[gis](categories/gis.md) category, created 2017-11-12, last commit 2021-01-18, main language Python  
+<sub><sup>gis, graphs, gtfs, modeling, network-analysis, spatial-analysis, transit</sup></sub>
 
 
-### [PolyWorldPretrainedNetwork](https://github.com/zorzi-s/polyworldpretrainednetwork) by [zorzi-s](https://github.com/zorzi-s)  
-PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images  
-[https://github.com/zorzi-s/polyworldpretrainednetwork](https://github.com/zorzi-s/polyworldpretrainednetwork)  
-2.38 stars per week over 37 weeks  
-88 stars, 13 forks, 7 watches  
-[gis](categories/gis.md) category, created 2022-03-23, last commit 2022-11-10, main language Python  
+### [easystac](https://github.com/cloudsen12/easystac) by [cloudsen12](https://github.com/cloudsen12)  
+easystac: A Python package for simple STAC queries  
+[https://easystac.readthedocs.io/](https://easystac.readthedocs.io/)  
+[https://github.com/cloudsen12/easystac](https://github.com/cloudsen12/easystac)  
+1.03 stars per week over 58 weeks  
+60 stars, 1 forks, 3 watches  
+[gis](categories/gis.md) category, created 2022-01-20, last commit 2022-08-07, main language Python  
+<sub><sup>earth-observation, gis, planetary-computer, python, python3, radiant, remote-sensing, spatio-temporal, spatio-temporal-data, stac</sup></sub>
 
 
-### [area](https://github.com/scisco/area) by [scisco](https://github.com/scisco)  
-area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python  
-[https://github.com/scisco/area](https://github.com/scisco/area)  
-0.23 stars per week over 367 weeks  
-86 stars, 19 forks, 3 watches  
-[gis](categories/gis.md) category, created 2015-11-25, last commit 2018-10-31, main language Python  
+### [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader) by [ndrplz](https://github.com/ndrplz)  
+google-drive-downloader: Minimal class to download shared files from Google Drive.  
+[https://github.com/ndrplz/google-drive-downloader](https://github.com/ndrplz/google-drive-downloader)  
+0.92 stars per week over 273 weeks  
+252 stars, 62 forks, 11 watches  
+[data](categories/data.md) category, created 2017-12-08, last commit 2019-02-09, main language Python  
 
 
-### [sparklines](https://github.com/deeplook/sparklines) by [deeplook](https://github.com/deeplook)  
-sparklines: Text-based sparkline command line mimicking those of Edward Tuft.  
-[https://github.com/deeplook/sparklines](https://github.com/deeplook/sparklines)  
-0.24 stars per week over 342 weeks  
-83 stars, 6 forks, 3 watches  
-[term](categories/term.md) category, created 2016-05-17, last commit 2021-06-26, main language Python  
-<sub><sup>ascii, command-line-tool, graphs, python, sparkline-graphs, sparklines</sup></sub>
+### [stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20) by [rasbt](https://github.com/rasbt)  
+stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)  
+[https://github.com/rasbt/stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20)  
+2.55 stars per week over 134 weeks  
+343 stars, 180 forks, 18 watches  
+[study](categories/study.md) category, created 2020-08-06, last commit 2020-12-03, main language Jupyter Notebook  
 
 
-### [xyzservices](https://github.com/geopandas/xyzservices) by [geopandas](https://github.com/geopandas)  
-xyzservices: Source of XYZ tiles providers  
-[https://xyzservices.readthedocs.io/](https://xyzservices.readthedocs.io/)  
-[https://github.com/geopandas/xyzservices](https://github.com/geopandas/xyzservices)  
-1.0 stars per week over 80 weeks  
-81 stars, 19 forks, 11 watches  
-[gis](categories/gis.md) category, created 2021-05-21, last commit 2022-12-01, main language Python  
+### [BoundaryVT](https://github.com/edomel/boundaryvt) by [edomel](https://github.com/edomel)  
+edomel/boundaryvt  
+[https://github.com/edomel/boundaryvt](https://github.com/edomel/boundaryvt)  
+0.03 stars per week over 31 weeks  
+1 stars, 0 forks, 2 watches  
+[gis](categories/gis.md) category, created 2022-07-29, last commit 2023-02-24, main language Python  
 
 
-### [parquet-tools](https://github.com/ktrueda/parquet-tools) by [ktrueda](https://github.com/ktrueda)  
-parquet-tools: easy install parquet-tools  
-[https://github.com/ktrueda/parquet-tools](https://github.com/ktrueda/parquet-tools)  
-0.6 stars per week over 135 weeks  
-81 stars, 10 forks, 3 watches  
-[data](categories/data.md) category, created 2020-05-02, last commit 2022-06-14, main language Python  
-<sub><sup>cli, parquet, parquet-tools</sup></sub>
+### [terminaltables](https://github.com/matthewdeanmartin/terminaltables) by [matthewdeanmartin](https://github.com/matthewdeanmartin)  
+terminaltables: Generate simple tables in terminals from a nested list of strings.  
+[https://robpol86.github.io/terminaltables](https://robpol86.github.io/terminaltables)  
+[https://github.com/matthewdeanmartin/terminaltables](https://github.com/matthewdeanmartin/terminaltables)  
+0.38 stars per week over 65 weeks  
+25 stars, 5 forks, 0 watches  
+[term](categories/term.md) category, created 2021-12-04, last commit 2022-01-30, main language Python  
 
 
-### [projectRegularization](https://github.com/zorzi-s/projectregularization) by [zorzi-s](https://github.com/zorzi-s)  
-projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses  
-[https://github.com/zorzi-s/projectregularization](https://github.com/zorzi-s/projectregularization)  
-0.99 stars per week over 81 weeks  
-80 stars, 7 forks, 2 watches  
-[gis](categories/gis.md) category, created 2021-05-18, last commit 2021-09-17, main language Python  
+### [bta-lib](https://github.com/mementum/bta-lib) by [mementum](https://github.com/mementum)  
+bta-lib: Technical Analysis library in pandas for backtesting algotrading and quantitative analysis  
+[https://github.com/mementum/bta-lib](https://github.com/mementum/bta-lib)  
+2.49 stars per week over 161 weeks  
+401 stars, 97 forks, 25 watches  
+[finance](categories/finance.md) category, created 2020-01-31, last commit 2020-03-11, main language Python  
 
 
-### [AutoProfiler](https://github.com/cmudig/autoprofiler) by [cmudig](https://github.com/cmudig)  
-AutoProfiler: Automatically profile dataframes in the Jupyter sidebar  
-[https://github.com/cmudig/autoprofiler](https://github.com/cmudig/autoprofiler)  
-2.14 stars per week over 36 weeks  
-79 stars, 4 forks, 1 watches  
-[jupyter](categories/jupyter.md) category, created 2022-03-24, last commit 2022-12-01, main language Svelte  
-<sub><sup>jupyter, pandas, python</sup></sub>
+### [stochastic](https://github.com/crflynn/stochastic) by [crflynn](https://github.com/crflynn)  
+stochastic: Generate realizations of stochastic processes in python.  
+[http://stochastic.readthedocs.io/en/stable/](http://stochastic.readthedocs.io/en/stable/)  
+[https://github.com/crflynn/stochastic](https://github.com/crflynn/stochastic)  
+1.05 stars per week over 315 weeks  
+332 stars, 64 forks, 15 watches  
+[sim](categories/sim.md) category, created 2017-02-17, last commit 2022-07-12, main language Python  
+<sub><sup>probability, stochastic, stochastic-differential-equations, stochastic-processes, stochastic-simulation-algorithm, stochastic-volatility-models</sup></sub>
 
 
-### [asyncpraw](https://github.com/praw-dev/asyncpraw) by [praw-dev](https://github.com/praw-dev)  
-asyncpraw: Async PRAW, an abbreviation for "Asynchronous Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
-[https://asyncpraw.readthedocs.io](https://asyncpraw.readthedocs.io)  
-[https://github.com/praw-dev/asyncpraw](https://github.com/praw-dev/asyncpraw)  
-0.39 stars per week over 200 weeks  
-78 stars, 14 forks, 3 watches  
-[ml-dl](categories/ml-dl.md) category, created 2019-02-05, last commit 2022-11-28, main language Python  
-<sub><sup>api, async, asyncpraw, oauth, praw, python, reddit, reddit-api</sup></sub>
+### [ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm) by [nerolation](https://github.com/nerolation)  
+ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io  
+[https://github.com/nerolation/ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm)  
+0.47 stars per week over 103 weeks  
+48 stars, 10 forks, 1 watches  
+[crypto](categories/crypto.md) category, created 2021-03-13, last commit 2023-02-25, main language Python  
 
 
-### [jake](https://github.com/sonatype-nexus-community/jake) by [sonatype-nexus-community](https://github.com/sonatype-nexus-community)  
-jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.  
-[https://jake.readthedocs.io/](https://jake.readthedocs.io/)  
-[https://github.com/sonatype-nexus-community/jake](https://github.com/sonatype-nexus-community/jake)  
-0.45 stars per week over 164 weeks  
-74 stars, 18 forks, 8 watches  
-[security](categories/security.md) category, created 2019-10-10, last commit 2022-12-05, main language Python  
-<sub><sup>nexus-iq, ossindex, python, sonatype-iq, vulnerabilities, vulnerability-scanners</sup></sub>
+### [Polygonization-by-Frame-Field-Learning](https://github.com/lydorn/polygonization-by-frame-field-learning) by [lydorn](https://github.com/lydorn)  
+Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.  
+[https://github.com/lydorn/polygonization-by-frame-field-learning](https://github.com/lydorn/polygonization-by-frame-field-learning)  
+1.49 stars per week over 144 weeks  
+215 stars, 54 forks, 11 watches  
+[gis](categories/gis.md) category, created 2020-05-26, last commit 2022-12-09, main language Python  
+<sub><sup>field, frame, polygonization, remote, segmentation, sensing</sup></sub>
+
 
+### [python-bizdays](https://github.com/wilsonfreitas/python-bizdays) by [wilsonfreitas](https://github.com/wilsonfreitas)  
+python-bizdays: Business days calculations and utilities  
+[http://wilsonfreitas.github.io/python-bizdays/](http://wilsonfreitas.github.io/python-bizdays/)  
+[https://github.com/wilsonfreitas/python-bizdays](https://github.com/wilsonfreitas/python-bizdays)  
+0.12 stars per week over 496 weeks  
+62 stars, 30 forks, 7 watches  
+[finance](categories/finance.md) category, created 2013-09-01, last commit 2023-01-20, main language Jupyter Notebook  
 
-### [cottonwood](https://github.com/brohrer/cottonwood) by [brohrer](https://github.com/brohrer)  
-cottonwood: A flexible neural network framework for running experiments and trying ideas.  
-[https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/](https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/)  
-[https://github.com/brohrer/cottonwood](https://github.com/brohrer/cottonwood)  
-0.43 stars per week over 166 weeks  
-72 stars, 13 forks, 14 watches  
-[ml](categories/ml.md) category, created 2019-09-29, last commit 2020-02-02, main language Python  
 
+### [trafficSimulator](https://github.com/bilhim/trafficsimulator) by [bilhim](https://github.com/bilhim)  
+bilhim/trafficsimulator  
+[https://github.com/bilhim/trafficsimulator](https://github.com/bilhim/trafficsimulator)  
+2.85 stars per week over 78 weeks  
+222 stars, 83 forks, 16 watches  
+[sim](categories/sim.md) category, created 2021-09-05, last commit 2021-09-07, main language Python  
 
-### [torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler) by [kshitij12345](https://github.com/kshitij12345)  
-torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module  
-[https://github.com/kshitij12345/torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler)  
-10 stars per week over 6 weeks  
-70 stars, 2 forks, 4 watches  
-[profiling](categories/profiling.md) category, created 2022-10-22, last commit 2022-11-02, main language Python  
 
+### [crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto) by [dylanhogg](https://github.com/dylanhogg)  
+crazy-awesome-crypto: A list of awesome crypto and blockchain projects  
+[https://www.awesomecrypto.xyz/](https://www.awesomecrypto.xyz/)  
+[https://github.com/dylanhogg/crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto)  
+0.64 stars per week over 74 weeks  
+48 stars, 15 forks, 4 watches  
+[crypto](categories/crypto.md) category, created 2021-09-27, last commit 2023-02-13, main language Python  
+<sub><sup>awesome, awesome-list, bitcoin, blockchain, crypto, cryptocurrency, data, data-analysis, ethereum, github</sup></sub>
 
-### [cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic) by [developmentseed](https://github.com/developmentseed)  
-cogeo-mosaic: Create and use COG mosaic based on mosaicJSON  
-[https://developmentseed.org/cogeo-mosaic/](https://developmentseed.org/cogeo-mosaic/)  
-[https://github.com/developmentseed/cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic)  
-0.37 stars per week over 186 weeks  
-69 stars, 19 forks, 8 watches  
-[gis](categories/gis.md) category, created 2019-05-14, last commit 2022-11-21, main language Python  
 
+### [SDNE](https://github.com/suanrong/sdne) by [suanrong](https://github.com/suanrong)  
+SDNE: This is a implementation of SDNE (Structural Deep Network embedding)  
+[http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding](http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding)  
+[https://github.com/suanrong/sdne](https://github.com/suanrong/sdne)  
+0.95 stars per week over 326 weeks  
+310 stars, 123 forks, 10 watches  
+[ml-dl](categories/ml-dl.md) category, created 2016-11-30, last commit 2021-09-10, main language Python  
 
-### [in3](https://github.com/blockchainsllc/in3) by [blockchainsllc](https://github.com/blockchainsllc)  
-in3: The IN3 client (written in C).  
-[https://in3.readthedocs.io/en/develop/index.html](https://in3.readthedocs.io/en/develop/index.html)  
-[https://github.com/blockchainsllc/in3](https://github.com/blockchainsllc/in3)  
-0.39 stars per week over 168 weeks  
-65 stars, 18 forks, 12 watches  
-[crypto](categories/crypto.md) category, created 2019-09-17, last commit 2022-04-01, main language C  
-<sub><sup>blockchain, crypto-economic, ethereum, ipfs, verify</sup></sub>
 
+### [fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials) by [hazyresearch](https://github.com/hazyresearch)  
+fonduer-tutorials: A collection of simple tutorials for using Fonduer  
+[https://github.com/HazyResearch/fonduer](https://github.com/HazyResearch/fonduer)  
+[https://github.com/hazyresearch/fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials)  
+0.38 stars per week over 258 weeks  
+97 stars, 25 forks, 18 watches  
+[nlp](categories/nlp.md) category, created 2018-03-23, last commit 2020-05-27, main language Jupyter Notebook  
 
-### [street-network-models](https://github.com/gboeing/street-network-models) by [gboeing](https://github.com/gboeing)  
-street-network-models: Street network models and indicators for every urban area in the world  
-[https://osf.io/f2dqc](https://osf.io/f2dqc)  
-[https://github.com/gboeing/street-network-models](https://github.com/gboeing/street-network-models)  
-0.45 stars per week over 138 weeks  
-62 stars, 4 forks, 2 watches  
-[sim](categories/sim.md) category, created 2020-04-13, last commit 2021-03-05, main language Python  
 
+### [jsontopydantic](https://github.com/brokenloop/jsontopydantic) by [brokenloop](https://github.com/brokenloop)  
+jsontopydantic: Web tool for generating Pydantic models from JSON objects  
+[https://jsontopydantic.com](https://jsontopydantic.com)  
+[https://github.com/brokenloop/jsontopydantic](https://github.com/brokenloop/jsontopydantic)  
+1.35 stars per week over 118 weeks  
+160 stars, 8 forks, 3 watches  
+[util](categories/util.md) category, created 2020-11-28, last commit 2022-05-13, main language TypeScript  
 
-### [dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam) by [googlecloudplatform](https://github.com/googlecloudplatform)  
-googlecloudplatform/dataflow-geobeam  
-[https://github.com/googlecloudplatform/dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam)  
-0.64 stars per week over 95 weeks  
-61 stars, 25 forks, 9 watches  
-[gis](categories/gis.md) category, created 2021-02-04, last commit 2022-11-29, main language Python  
 
+### [cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience) by [crmne](https://github.com/crmne)  
+cookiecutter-modern-datascience: Start a data science project with modern tools  
+[https://github.com/crmne/cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience)  
+1.03 stars per week over 138 weeks  
+143 stars, 29 forks, 3 watches  
+[template](categories/template.md) category, created 2020-07-06, last commit 2022-06-10, main language Python  
+<sub><sup>cookiecutter, cookiecutter-data-science, cookiecutter-template, datascience, python</sup></sub>
 
-### [easystac](https://github.com/cloudsen12/easystac) by [cloudsen12](https://github.com/cloudsen12)  
-easystac: A Python package for simple STAC queries  
-[https://easystac.readthedocs.io/](https://easystac.readthedocs.io/)  
-[https://github.com/cloudsen12/easystac](https://github.com/cloudsen12/easystac)  
-1.24 stars per week over 45 weeks  
-57 stars, 1 forks, 3 watches  
-[gis](categories/gis.md) category, created 2022-01-20, last commit 2022-08-07, main language Python  
-<sub><sup>earth-observation, gis, planetary-computer, python, python3, radiant, remote-sensing, spatio-temporal, spatio-temporal-data, stac</sup></sub>
 
+### [dashing](https://github.com/federicoceratto/dashing) by [federicoceratto](https://github.com/federicoceratto)  
+dashing: Terminal dashboards for Python  
+[https://dashing.readthedocs.io/en/latest/](https://dashing.readthedocs.io/en/latest/)  
+[https://github.com/federicoceratto/dashing](https://github.com/federicoceratto/dashing)  
+1.16 stars per week over 300 weeks  
+347 stars, 30 forks, 9 watches  
+[term](categories/term.md) category, created 2017-06-03, last commit 2020-09-06, main language Python  
+<sub><sup>charts, dashboard, gauges, python, python3, terminal, terminal-based</sup></sub>
 
-### [cowait](https://github.com/backtick-se/cowait) by [backtick-se](https://github.com/backtick-se)  
-cowait: Containerized distributed programming framework for Python  
-[https://cowait.io](https://cowait.io)  
-[https://github.com/backtick-se/cowait](https://github.com/backtick-se/cowait)  
-0.33 stars per week over 168 weeks  
-55 stars, 5 forks, 8 watches  
-[util](categories/util.md) category, created 2019-09-18, last commit 2022-09-22, main language Python  
-<sub><sup>dask, data-engineering, data-science, docker, kubernetes, python, spark, task-scheduler, workflow-engine</sup></sub>
 
+### [python-collab-template](https://github.com/eugeneyan/python-collab-template) by [eugeneyan](https://github.com/eugeneyan)  
+python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.  
+[https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/](https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/)  
+[https://github.com/eugeneyan/python-collab-template](https://github.com/eugeneyan/python-collab-template)  
+0.9 stars per week over 141 weeks  
+127 stars, 37 forks, 4 watches  
+[template](categories/template.md) category, created 2020-06-21, last commit 2022-07-02, main language Python  
+<sub><sup>coverage, github-actions, hacktoberfest, linting, makefile, python, type-checking, unit-testing</sup></sub>
 
-### [mapalignment](https://github.com/lydorn/mapalignment) by [lydorn](https://github.com/lydorn)  
-mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images  
-[https://github.com/lydorn/mapalignment](https://github.com/lydorn/mapalignment)  
-0.24 stars per week over 222 weeks  
-54 stars, 14 forks, 4 watches  
-[gis](categories/gis.md) category, created 2018-09-05, last commit 2020-09-03, main language Python  
 
+### [sparklines](https://github.com/deeplook/sparklines) by [deeplook](https://github.com/deeplook)  
+sparklines: Text-based sparkline command line mimicking those of Edward Tuft.  
+[https://github.com/deeplook/sparklines](https://github.com/deeplook/sparklines)  
+0.24 stars per week over 354 weeks  
+84 stars, 6 forks, 3 watches  
+[term](categories/term.md) category, created 2016-05-17, last commit 2021-06-26, main language Python  
+<sub><sup>ascii, command-line-tool, graphs, python, sparkline-graphs, sparklines</sup></sub>
 
-### [pysnyk](https://github.com/snyk-labs/pysnyk) by [snyk-labs](https://github.com/snyk-labs)  
-pysnyk: A Python client for the Snyk API.  
-[https://snyk.docs.apiary.io/](https://snyk.docs.apiary.io/)  
-[https://github.com/snyk-labs/pysnyk](https://github.com/snyk-labs/pysnyk)  
-0.25 stars per week over 200 weeks  
-50 stars, 89 forks, 10 watches  
-[security](categories/security.md) category, created 2019-02-03, last commit 2022-05-26, main language Python  
-<sub><sup>api, python, snyk</sup></sub>
 
+### [cottonwood](https://github.com/brohrer/cottonwood) by [brohrer](https://github.com/brohrer)  
+cottonwood: A flexible neural network framework for running experiments and trying ideas.  
+[https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/](https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/)  
+[https://github.com/brohrer/cottonwood](https://github.com/brohrer/cottonwood)  
+0.41 stars per week over 179 weeks  
+74 stars, 13 forks, 14 watches  
+[ml](categories/ml.md) category, created 2019-09-29, last commit 2020-02-02, main language Python  
 
-### [sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper) by [aws-samples](https://github.com/aws-samples)  
-sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH  
-[https://github.com/aws-samples/sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper)  
-6.48 stars per week over 7 weeks  
-50 stars, 5 forks, 6 watches  
-[util](categories/util.md) category, created 2022-10-14, last commit 2022-12-06, main language Python  
-<sub><sup>amazon-sagemaker, aws, aws-systems-manager, machine-learning, pycharm, sagemaker, sagemaker-studio, ssh, vscode</sup></sub>
 
+### [address-net](https://github.com/jasonrig/address-net) by [jasonrig](https://github.com/jasonrig)  
+address-net: A package to structure Australian addresses  
+[https://github.com/jasonrig/address-net](https://github.com/jasonrig/address-net)  
+0.79 stars per week over 221 weeks  
+176 stars, 72 forks, 13 watches  
+[gis](categories/gis.md) category, created 2018-12-05, last commit 2020-09-09, main language Python  
+<sub><sup>address-parser, deep-learning, machine-learning, rnn</sup></sub>
 
-### [crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python) by [dylanhogg](https://github.com/dylanhogg)  
-crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning  
-[https://www.awesomepython.org/](https://www.awesomepython.org/)  
-[https://github.com/dylanhogg/crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python)  
-0.36 stars per week over 128 weeks  
-46 stars, 8 forks, 3 watches  
-[study](categories/study.md) category, created 2020-06-20, last commit 2022-11-26, main language HTML  
-<sub><sup>awesome-list, data, machine-learning, natural-language-processing, python, python-data, python-frameworks, python-library, python-machine-learning, python-nlp</sup></sub>
 
+### [arxiv-dl](https://github.com/markhershey/arxiv-dl) by [markhershey](https://github.com/markhershey)  
+arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader  
+[https://pypi.org/project/arxiv-dl/](https://pypi.org/project/arxiv-dl/)  
+[https://github.com/markhershey/arxiv-dl](https://github.com/markhershey/arxiv-dl)  
+0.14 stars per week over 110 weeks  
+16 stars, 4 forks, 2 watches  
+[util](categories/util.md) category, created 2021-01-21, last commit 2023-01-30, main language Python  
+<sub><sup>arxiv, command-line-tool, cvpr, downloader, paper, paper-with-code</sup></sub>
 
-### [crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto) by [dylanhogg](https://github.com/dylanhogg)  
-crazy-awesome-crypto: A list of awesome crypto and blockchain projects  
-[https://www.awesomecrypto.xyz/](https://www.awesomecrypto.xyz/)  
-[https://github.com/dylanhogg/crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto)  
-0.67 stars per week over 62 weeks  
-42 stars, 12 forks, 4 watches  
-[crypto](categories/crypto.md) category, created 2021-09-27, last commit 2022-10-30, main language Python  
-<sub><sup>awesome, awesome-list, bitcoin, blockchain, crypto, cryptocurrency, data, data-analysis, ethereum, github</sup></sub>
 
+### [calm-notebooks](https://github.com/koaning/calm-notebooks) by [koaning](https://github.com/koaning)  
+calm-notebooks: notebooks that are used at calmcode.io  
+[https://calmcode.io](https://calmcode.io)  
+[https://github.com/koaning/calm-notebooks](https://github.com/koaning/calm-notebooks)  
+1.1 stars per week over 157 weeks  
+172 stars, 148 forks, 7 watches  
+[study](categories/study.md) category, created 2020-03-01, last commit 2021-10-21, main language Jupyter Notebook  
 
-### [populationsim](https://github.com/activitysim/populationsim) by [activitysim](https://github.com/activitysim)  
-populationsim: An Open Platform for Population Synthesis  
-[https://activitysim.github.io/populationsim](https://activitysim.github.io/populationsim)  
-[https://github.com/activitysim/populationsim](https://github.com/activitysim/populationsim)  
-0.12 stars per week over 303 weeks  
-37 stars, 27 forks, 11 watches  
-[sim](categories/sim.md) category, created 2017-02-14, last commit 2021-11-19, main language Jupyter Notebook  
-<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, population-synthesis, python</sup></sub>
+
+### [GameGAN_code](https://github.com/nv-tlabs/gamegan_code) by [nv-tlabs](https://github.com/nv-tlabs)  
+GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)  
+[https://github.com/nv-tlabs/gamegan_code](https://github.com/nv-tlabs/gamegan_code)  
+1.77 stars per week over 116 weeks  
+206 stars, 35 forks, 10 watches  
+[sim](categories/sim.md) category, created 2020-12-11, last commit 2021-11-11, main language Python  
 
 
-### [punctuator](https://github.com/ferdinandzhong/punctuator) by [ferdinandzhong](https://github.com/ferdinandzhong)  
-punctuator: A small seq2seq punctuator tool based on DistilBERT  
-[https://github.com/ferdinandzhong/punctuator](https://github.com/ferdinandzhong/punctuator)  
-0.33 stars per week over 106 weeks  
-35 stars, 5 forks, 1 watches  
-[nlp](categories/nlp.md) category, created 2020-11-19, last commit 2022-09-28, main language Python  
-<sub><sup>bert, bert-ner, chinese-nlp, deep-learning, nlp, punctuation, pytorch, seq2seq</sup></sub>
+### [mapcompare](https://github.com/gregorhd/mapcompare) by [gregorhd](https://github.com/gregorhd)  
+mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.  
+[https://github.com/gregorhd/mapcompare](https://github.com/gregorhd/mapcompare)  
+0.3 stars per week over 93 weeks  
+28 stars, 0 forks, 2 watches  
+[gis](categories/gis.md) category, created 2021-05-21, last commit 2022-12-03, main language Python  
+<sub><sup>comparison, data-visualisation, data-viz, interactive-visualisations, sample-visualisation, urban-data-science, visualisation-libraries</sup></sub>
 
 
-### [ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm) by [nerolation](https://github.com/nerolation)  
-ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io  
-[https://github.com/nerolation/ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm)  
-0.38 stars per week over 90 weeks  
-34 stars, 8 forks, 1 watches  
-[crypto](categories/crypto.md) category, created 2021-03-13, last commit 2022-11-19, main language Python  
+### [pytrait](https://github.com/xrudelis/pytrait) by [xrudelis](https://github.com/xrudelis)  
+pytrait: Traits for Python3  
+[https://github.com/xrudelis/pytrait](https://github.com/xrudelis/pytrait)  
+1.84 stars per week over 67 weeks  
+123 stars, 3 forks, 3 watches  
+[util](categories/util.md) category, created 2021-11-21, last commit 2021-11-27, main language Python  
 
 
-### [mapply](https://github.com/ddelange/mapply) by [ddelange](https://github.com/ddelange)  
-mapply: Sensible multi-core apply function for Pandas  
-[https://github.com/ddelange/mapply](https://github.com/ddelange/mapply)  
-0.3 stars per week over 110 weeks  
-33 stars, 2 forks, 3 watches  
-[pandas](categories/pandas.md) category, created 2020-10-26, last commit 2022-11-22, main language Python  
+### [boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api) by [bowenc0221](https://github.com/bowenc0221)  
+boundary-iou-api: Boundary IoU API (Beta version)  
+[https://github.com/bowenc0221/boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api)  
+1.77 stars per week over 100 weeks  
+179 stars, 19 forks, 8 watches  
+[gis](categories/gis.md) category, created 2021-03-29, last commit 2021-04-05, main language Python  
 
 
-### [pyfuncol](https://github.com/gondolav/pyfuncol) by [gondolav](https://github.com/gondolav)  
-pyfuncol: Functional collections extension functions for Python  
-[https://pyfuncol.readthedocs.io/](https://pyfuncol.readthedocs.io/)  
-[https://github.com/gondolav/pyfuncol](https://github.com/gondolav/pyfuncol)  
-0.63 stars per week over 50 weeks  
-32 stars, 3 forks, 3 watches  
-[util](categories/util.md) category, created 2021-12-16, last commit 2022-11-16, main language Python  
-<sub><sup>collections, extension-functions, functional, parallel, python, python3</sup></sub>
+### [socialways](https://github.com/crowdbotp/socialways) by [crowdbotp](https://github.com/crowdbotp)  
+socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)  
+[https://github.com/crowdbotp/socialways](https://github.com/crowdbotp/socialways)  
+0.55 stars per week over 201 weeks  
+111 stars, 45 forks, 9 watches  
+[sim](categories/sim.md) category, created 2019-04-23, last commit 2020-03-20, main language Python  
+<sub><sup>crowd-simulation, gan, generative-adversarial-network, human-trajectory-prediction, info-gan, pedestrian, pedestrian-trajectories, prediction-model, self-driving-car, social-gan, social-navigation, social-robots, social-ways, trajectory-forecasting, trajectory-prediction</sup></sub>
 
 
 ### [geonetworkx](https://github.com/artelys/geonetworkx) by [artelys](https://github.com/artelys)  
 geonetworkx: Python tools for geographic graphs  
 [https://github.com/artelys/geonetworkx](https://github.com/artelys/geonetworkx)  
-0.18 stars per week over 162 weeks  
-30 stars, 1 forks, 7 watches  
+0.17 stars per week over 175 weeks  
+29 stars, 1 forks, 7 watches  
 [gis](categories/gis.md) category, created 2019-10-24, last commit 2021-06-28, main language Python  
 
 
-### [mapcompare](https://github.com/gregorhd/mapcompare) by [gregorhd](https://github.com/gregorhd)  
-mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.  
-[https://github.com/gregorhd/mapcompare](https://github.com/gregorhd/mapcompare)  
-0.35 stars per week over 80 weeks  
-28 stars, 0 forks, 2 watches  
-[gis](categories/gis.md) category, created 2021-05-21, last commit 2022-12-03, main language Python  
-<sub><sup>comparison, data-visualisation, data-viz, interactive-visualisations, sample-visualisation, urban-data-science, visualisation-libraries</sup></sub>
+### [punctuator](https://github.com/ferdinandzhong/punctuator) by [ferdinandzhong](https://github.com/ferdinandzhong)  
+punctuator: A small seq2seq punctuator tool based on DistilBERT  
+[https://github.com/ferdinandzhong/punctuator](https://github.com/ferdinandzhong/punctuator)  
+0.3 stars per week over 119 weeks  
+36 stars, 5 forks, 1 watches  
+[nlp](categories/nlp.md) category, created 2020-11-19, last commit 2022-09-28, main language Python  
+<sub><sup>bert, bert-ner, chinese-nlp, deep-learning, nlp, punctuation, pytorch, seq2seq</sup></sub>
+
+
+### [rl-course](https://github.com/anyscale/rl-course) by [anyscale](https://github.com/anyscale)  
+anyscale/rl-course  
+[https://github.com/anyscale/rl-course](https://github.com/anyscale/rl-course)  
+0.34 stars per week over 52 weeks  
+18 stars, 1 forks, 5 watches  
+[study](categories/study.md) category, created 2022-03-01, last commit 2023-01-02, main language Jupyter Notebook  
 
 
 ### [crowddynamics](https://github.com/crowddynamics/crowddynamics)  
 crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.  
 [https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/](https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/)  
 [https://github.com/crowddynamics/crowddynamics](https://github.com/crowddynamics/crowddynamics)  
-0.07 stars per week over 350 weeks  
-26 stars, 9 forks, 9 watches  
+0.08 stars per week over 362 weeks  
+28 stars, 9 forks, 9 watches  
 [sim](categories/sim.md) category, created 2016-03-22, last commit 2020-01-02, main language Python  
 <sub><sup>continuous-time, crowd-dynamics, crowd-simulation, multi-agent</sup></sub>
 
 
-### [valhalla-nmt](https://github.com/jerryyli/valhalla-nmt) by [jerryyli](https://github.com/jerryyli)  
-valhalla-nmt: Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"  
-[https://github.com/jerryyli/valhalla-nmt](https://github.com/jerryyli/valhalla-nmt)  
-0.62 stars per week over 37 weeks  
-23 stars, 3 forks, 1 watches  
-[ml-dl](categories/ml-dl.md) category, created 2022-03-22, last commit 2022-06-06, main language Python  
-<sub><sup>computer-vision, machine-translation, multimodal-learning, natural-language-processing</sup></sub>
+### [python-project-template](https://github.com/dylanhogg/python-project-template) by [dylanhogg](https://github.com/dylanhogg)  
+python-project-template: A quick-start Python project template with helpful functionality and common libraries.  
+[https://github.com/dylanhogg/python-project-template](https://github.com/dylanhogg/python-project-template)  
+0.01 stars per week over 159 weeks  
+1 stars, 0 forks, 2 watches  
+[template](categories/template.md) category, created 2020-02-12, last commit 2022-08-19, main language Python  
+<sub><sup>cookiecutter, jupyterlab, python, template</sup></sub>
 
 
 ### [pacal](https://github.com/jszymon/pacal) by [jszymon](https://github.com/jszymon)  
 PaCAL - ProbAbilistic CALculator  
 [https://github.com/jszymon/pacal](https://github.com/jszymon/pacal)  
-0.05 stars per week over 435 weeks  
+0.05 stars per week over 447 weeks  
 21 stars, 8 forks, 6 watches  
 [math](categories/math.md) category, created 2014-08-04, last commit 2022-11-02, main language Python  
 
 
-### [pardata](https://github.com/codait/pardata) by [codait](https://github.com/codait)  
-codait/pardata  
-[https://pardata.readthedocs.io/en/latest/](https://pardata.readthedocs.io/en/latest/)  
-[https://github.com/codait/pardata](https://github.com/codait/pardata)  
-0.17 stars per week over 107 weeks  
-18 stars, 5 forks, 11 watches  
-[data](categories/data.md) category, created 2020-11-17, last commit 2021-12-01, main language Python  
-<sub><sup>artificial-intelligence, data-science, dataset, machine-learning, python</sup></sub>
-
-
-### [terminaltables](https://github.com/matthewdeanmartin/terminaltables) by [matthewdeanmartin](https://github.com/matthewdeanmartin)  
-terminaltables: Generate simple tables in terminals from a nested list of strings.  
-[https://robpol86.github.io/terminaltables](https://robpol86.github.io/terminaltables)  
-[https://github.com/matthewdeanmartin/terminaltables](https://github.com/matthewdeanmartin/terminaltables)  
-0.32 stars per week over 52 weeks  
-17 stars, 4 forks, 0 watches  
-[term](categories/term.md) category, created 2021-12-04, last commit 2022-01-30, main language Python  
+### [street-network-models](https://github.com/gboeing/street-network-models) by [gboeing](https://github.com/gboeing)  
+street-network-models: Street network models and indicators for every urban area in the world  
+[https://osf.io/f2dqc](https://osf.io/f2dqc)  
+[https://github.com/gboeing/street-network-models](https://github.com/gboeing/street-network-models)  
+0.42 stars per week over 150 weeks  
+64 stars, 4 forks, 2 watches  
+[sim](categories/sim.md) category, created 2020-04-13, last commit 2021-03-05, main language Python  
 
 
-### [arxiv-dl](https://github.com/markhershey/arxiv-dl) by [markhershey](https://github.com/markhershey)  
-arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader  
-[https://pypi.org/project/arxiv-dl/](https://pypi.org/project/arxiv-dl/)  
-[https://github.com/markhershey/arxiv-dl](https://github.com/markhershey/arxiv-dl)  
-0.16 stars per week over 97 weeks  
-16 stars, 4 forks, 2 watches  
-[util](categories/util.md) category, created 2021-01-21, last commit 2022-12-06, main language Python  
-<sub><sup>arxiv, command-line-tool, cvpr, downloader, paper, paper-with-code</sup></sub>
+### [projectRegularization](https://github.com/zorzi-s/projectregularization) by [zorzi-s](https://github.com/zorzi-s)  
+projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses  
+[https://github.com/zorzi-s/projectregularization](https://github.com/zorzi-s/projectregularization)  
+0.88 stars per week over 93 weeks  
+82 stars, 8 forks, 2 watches  
+[gis](categories/gis.md) category, created 2021-05-18, last commit 2021-09-17, main language Python  
 
 
-### [MapRepair](https://github.com/zorzi-s/maprepair) by [zorzi-s](https://github.com/zorzi-s)  
-MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images  
-[https://github.com/zorzi-s/maprepair](https://github.com/zorzi-s/maprepair)  
-0.13 stars per week over 122 weeks  
-16 stars, 4 forks, 2 watches  
-[gis](categories/gis.md) category, created 2020-07-30, last commit 2021-05-17, main language Python  
+### [markov_clustering](https://github.com/guyallard/markov_clustering) by [guyallard](https://github.com/guyallard)  
+markov_clustering: markov clustering in python  
+[https://github.com/guyallard/markov_clustering](https://github.com/guyallard/markov_clustering)  
+0.47 stars per week over 283 weeks  
+134 stars, 34 forks, 9 watches  
+[graph](categories/graph.md) category, created 2017-09-27, last commit 2018-12-11, main language Python  
+<sub><sup>clustering, markov-clustering, networks, python</sup></sub>
 
 
-### [micropip](https://github.com/pyodide/micropip) by [pyodide](https://github.com/pyodide)  
-micropip: A lightweight Python package installer for Pyodide  
-[https://micropip.pyodide.org](https://micropip.pyodide.org)  
-[https://github.com/pyodide/micropip](https://github.com/pyodide/micropip)  
-0.93 stars per week over 11 weeks  
-11 stars, 3 forks, 5 watches  
-[util](categories/util.md) category, created 2022-09-15, last commit 2022-12-07, main language Python  
+### [malloy-py](https://github.com/malloydata/malloy-py) by [malloydata](https://github.com/malloydata)  
+malloy-py: Python package for executing Malloy  
+[https://github.com/malloydata/malloy-py](https://github.com/malloydata/malloy-py)  
+0.17 stars per week over 17 weeks  
+3 stars, 1 forks, 4 watches  
+[data](categories/data.md) category, created 2022-11-02, last commit 2023-01-17, main language Python  
+<sub><sup>business-analytics, business-intelligence, data, data-modeling, python, semantic-modeling, sql</sup></sub>
 
 
 ### [wikinet](https://github.com/harangju/wikinet) by [harangju](https://github.com/harangju)  
 wikinet: Python library for exploring networks of hyperlinked Wikipedia articles  
 [https://github.com/harangju/wikinet](https://github.com/harangju/wikinet)  
-0.06 stars per week over 174 weeks  
+0.05 stars per week over 186 weeks  
 10 stars, 5 forks, 3 watches  
 [data](categories/data.md) category, created 2019-08-05, last commit 2022-01-25, main language Jupyter Notebook  
 
 
-### [docutils-stubs](https://github.com/tk0miya/docutils-stubs) by [tk0miya](https://github.com/tk0miya)  
-tk0miya/docutils-stubs  
-[https://github.com/tk0miya/docutils-stubs](https://github.com/tk0miya/docutils-stubs)  
-0.03 stars per week over 213 weeks  
-7 stars, 5 forks, 6 watches  
-[typing](categories/typing.md) category, created 2018-11-02, last commit 2022-01-02, main language Python  
+### [area](https://github.com/scisco/area) by [scisco](https://github.com/scisco)  
+area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python  
+[https://github.com/scisco/area](https://github.com/scisco/area)  
+0.23 stars per week over 379 weeks  
+87 stars, 20 forks, 3 watches  
+[gis](categories/gis.md) category, created 2015-11-25, last commit 2018-10-31, main language Python  
+
+
+### [mapalignment](https://github.com/lydorn/mapalignment) by [lydorn](https://github.com/lydorn)  
+mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images  
+[https://github.com/lydorn/mapalignment](https://github.com/lydorn/mapalignment)  
+0.25 stars per week over 234 weeks  
+58 stars, 14 forks, 4 watches  
+[gis](categories/gis.md) category, created 2018-09-05, last commit 2020-09-03, main language Python  
 
 
 ### [dynpy](https://github.com/artemyk/dynpy) by [artemyk](https://github.com/artemyk)  
 dynpy: Dynamical systems for Python  
 [https://github.com/artemyk/dynpy](https://github.com/artemyk/dynpy)  
-0.01 stars per week over 429 weeks  
-5 stars, 5 forks, 3 watches  
+0.01 stars per week over 442 weeks  
+6 stars, 5 forks, 3 watches  
 [sim](categories/sim.md) category, created 2014-09-12, last commit 2018-09-28, main language Python  
 
 
+### [PyCausality](https://github.com/zackeskin/pycausality) by [zackeskin](https://github.com/zackeskin)  
+PyCausality: Calculate predictive causality between time series using information-theoretic techniques  
+[https://github.com/zackeskin/pycausality](https://github.com/zackeskin/pycausality)  
+0.28 stars per week over 240 weeks  
+67 stars, 22 forks, 6 watches  
+[time-series](categories/time-series.md) category, created 2018-07-26, last commit 2018-12-24, main language Python  
+
+
 ### [wagyu](https://github.com/lycantropos/wagyu) by [lycantropos](https://github.com/lycantropos)  
 wagyu: Python port of mapbox/wagyu library (with separate C++ binding)  
 [https://github.com/mapbox/wagyu](https://github.com/mapbox/wagyu)  
 [https://github.com/lycantropos/wagyu](https://github.com/lycantropos/wagyu)  
-0.02 stars per week over 127 weeks  
+0.02 stars per week over 139 weeks  
 3 stars, 2 forks, 1 watches  
 [gis](categories/gis.md) category, created 2020-06-30, last commit 2020-11-21, main language Python  
 
 
-### [BoundaryVT](https://github.com/edomel/boundaryvt) by [edomel](https://github.com/edomel)  
-edomel/boundaryvt  
-[https://github.com/edomel/boundaryvt](https://github.com/edomel/boundaryvt)  
-0.11 stars per week over 18 weeks  
-2 stars, 0 forks, 2 watches  
-[gis](categories/gis.md) category, created 2022-07-29, last commit 2022-09-29, main language Python  
+### [Lenia-Tutorial](https://github.com/openlenia/lenia-tutorial) by [openlenia](https://github.com/openlenia)  
+openlenia/lenia-tutorial  
+[https://github.com/openlenia/lenia-tutorial](https://github.com/openlenia/lenia-tutorial)  
+0.27 stars per week over 85 weeks  
+23 stars, 2 forks, 2 watches  
+[sim](categories/sim.md) category, created 2021-07-15, last commit 2021-07-26, main language Jupyter Notebook  
 
 
-### [python-project-template](https://github.com/dylanhogg/python-project-template) by [dylanhogg](https://github.com/dylanhogg)  
-python-project-template: A quick-start Python project template with helpful functionality and common libraries.  
-[https://github.com/dylanhogg/python-project-template](https://github.com/dylanhogg/python-project-template)  
-0.01 stars per week over 147 weeks  
-1 stars, 0 forks, 2 watches  
-[template](categories/template.md) category, created 2020-02-12, last commit 2022-08-19, main language Python  
-<sub><sup>cookiecutter, jupyterlab, python, template</sup></sub>
+### [MapRepair](https://github.com/zorzi-s/maprepair) by [zorzi-s](https://github.com/zorzi-s)  
+MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images  
+[https://github.com/zorzi-s/maprepair](https://github.com/zorzi-s/maprepair)  
+0.13 stars per week over 135 weeks  
+17 stars, 4 forks, 2 watches  
+[gis](categories/gis.md) category, created 2020-07-30, last commit 2021-05-17, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/crypto.md b/categories/crypto.md
index c1ee47d..bbe3d49 100644
--- a/categories/crypto.md
+++ b/categories/crypto.md
@@ -8,9 +8,9 @@ Checkout the interactive version that you can filter and sort:
 ### [ccxt](https://github.com/ccxt/ccxt)  
 ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges  
 [https://github.com/ccxt/ccxt](https://github.com/ccxt/ccxt)  
-91 stars per week over 290 weeks  
-26,569 stars, 6,498 forks, 929 watches  
-created 2017-05-14, last commit 2022-12-07, main language JavaScript  
+90 stars per week over 303 weeks  
+27,419 stars, 6,729 forks, 940 watches  
+created 2017-05-14, last commit 2023-03-04, main language JavaScript  
 <sub><sup>altcoin, api, arbitrage, bitcoin, bot, btc, crypto, cryptocurrency, e-commerce, eth, ethereum, exchange, invest, library, market-data, merchant, strategy, trade, trading</sup></sub>
 
 
@@ -18,117 +18,100 @@ created 2017-05-14, last commit 2022-12-07, main language JavaScript
 freqtrade: Free, open source crypto trading bot  
 [https://www.freqtrade.io](https://www.freqtrade.io)  
 [https://github.com/freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  
-69 stars per week over 290 weeks  
-20,030 stars, 4,243 forks, 591 watches  
-created 2017-05-17, last commit 2022-12-06, main language Python  
+69 stars per week over 302 weeks  
+20,908 stars, 4,495 forks, 595 watches  
+created 2017-05-17, last commit 2023-03-03, main language Python  
 <sub><sup>algorithmic-trading, bitcoin, cryptocurrencies, cryptocurrency, freqtrade, python, telegram-bot, trade, trading-bot</sup></sub>
 
 
+### [consensus-specs](https://github.com/ethereum/consensus-specs) by [ethereum](https://github.com/ethereum)  
+consensus-specs: Ethereum Proof-of-Stake Consensus Specifications  
+[https://github.com/ethereum/consensus-specs](https://github.com/ethereum/consensus-specs)  
+13 stars per week over 232 weeks  
+3,073 stars, 787 forks, 246 watches  
+created 2018-09-20, last commit 2023-03-02, main language Python  
+
+
 ### [web3.py](https://github.com/ethereum/web3.py) by [ethereum](https://github.com/ethereum)  
 web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.  
 [http://web3py.readthedocs.io](http://web3py.readthedocs.io)  
 [https://github.com/ethereum/web3.py](https://github.com/ethereum/web3.py)  
-11 stars per week over 346 weeks  
-3,896 stars, 1,223 forks, 117 watches  
-created 2016-04-14, last commit 2022-12-02, main language Python  
+11 stars per week over 359 weeks  
+4,065 stars, 1,357 forks, 117 watches  
+created 2016-04-14, last commit 2023-02-24, main language Python  
 
 
 ### [slither](https://github.com/crytic/slither) by [crytic](https://github.com/crytic)  
 slither: Static Analyzer for Solidity  
 [https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/](https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/)  
 [https://github.com/crytic/slither](https://github.com/crytic/slither)  
-15 stars per week over 222 weeks  
-3,491 stars, 637 forks, 63 watches  
-created 2018-09-05, last commit 2022-11-28, main language Python  
+16 stars per week over 234 weeks  
+3,873 stars, 704 forks, 62 watches  
+created 2018-09-05, last commit 2023-02-25, main language Python  
 <sub><sup>ethereum, solidity, static-analysis</sup></sub>
 
 
+### [cryptofeed](https://github.com/bmoscon/cryptofeed) by [bmoscon](https://github.com/bmoscon)  
+cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler  
+[https://github.com/bmoscon/cryptofeed](https://github.com/bmoscon/cryptofeed)  
+6.17 stars per week over 272 weeks  
+1,680 stars, 544 forks, 75 watches  
+created 2017-12-16, last commit 2023-03-04, main language Python  
+<sub><sup>asyncio, binance, bitcoin, btc, coinbase, coinbase-api, crypto, cryptocurrencies, cryptocurrency, ethereum, exchange, ftx-exchange, influxdb, market-data, python, trading, trading-platform, websocket, websockets</sup></sub>
+
+
 ### [Binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot) by [cyberpunkmetalhead](https://github.com/cyberpunkmetalhead)  
 Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.  
 [https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot](https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot)  
-38 stars per week over 82 weeks  
-3,219 stars, 762 forks, 145 watches  
+34 stars per week over 95 weeks  
+3,243 stars, 760 forks, 148 watches  
 created 2021-05-08, last commit 2021-06-10, main language Python  
 
 
-### [consensus-specs](https://github.com/ethereum/consensus-specs) by [ethereum](https://github.com/ethereum)  
-consensus-specs: Ethereum Proof-of-Stake Consensus Specifications  
-[https://github.com/ethereum/consensus-specs](https://github.com/ethereum/consensus-specs)  
-13 stars per week over 219 weeks  
-2,952 stars, 740 forks, 245 watches  
-created 2018-09-20, last commit 2022-12-06, main language Python  
-
-
 ### [py-evm](https://github.com/ethereum/py-evm) by [ethereum](https://github.com/ethereum)  
 py-evm: A Python implementation of the Ethereum Virtual Machine  
 [https://py-evm.readthedocs.io/en/latest/](https://py-evm.readthedocs.io/en/latest/)  
 [https://github.com/ethereum/py-evm](https://github.com/ethereum/py-evm)  
-6.06 stars per week over 310 weeks  
-1,878 stars, 576 forks, 98 watches  
-created 2016-12-27, last commit 2022-11-14, main language Python  
+5.99 stars per week over 322 weeks  
+1,933 stars, 578 forks, 97 watches  
+created 2016-12-27, last commit 2022-12-16, main language Python  
 <sub><sup>ethereum, ethereum-virtual-machine, evm, python</sup></sub>
 
 
-### [cryptofeed](https://github.com/bmoscon/cryptofeed) by [bmoscon](https://github.com/bmoscon)  
-cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler  
-[https://github.com/bmoscon/cryptofeed](https://github.com/bmoscon/cryptofeed)  
-6.18 stars per week over 259 weeks  
-1,605 stars, 517 forks, 75 watches  
-created 2017-12-16, last commit 2022-12-02, main language Python  
-<sub><sup>asyncio, binance, bitcoin, btc, coinbase, coinbase-api, crypto, cryptocurrencies, cryptocurrency, ethereum, exchange, ftx-exchange, influxdb, market-data, python, trading, trading-platform, websocket, websockets</sup></sub>
-
-
-### [blankly](https://github.com/blankly-finance/blankly) by [blankly-finance](https://github.com/blankly-finance)  
-blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.  
-[https://package.blankly.finance](https://package.blankly.finance)  
-[https://github.com/blankly-finance/blankly](https://github.com/blankly-finance/blankly)  
-14 stars per week over 91 weeks  
-1,341 stars, 172 forks, 28 watches  
-created 2021-03-09, last commit 2022-11-24, main language Python  
-<sub><sup>algotrading, binance, blankly, bot, bot-framework, bots, coinbase, crypto, cryptocurrency, framework, investment, platform, python, stocks, trading, trading-bot, trading-strategies</sup></sub>
+### [ethtx](https://github.com/ethtx/ethtx)  
+ethtx: Python package with core transaction decoding functions.  
+[https://www.ethtx.info](https://www.ethtx.info)  
+[https://github.com/ethtx/ethtx](https://github.com/ethtx/ethtx)  
+4.61 stars per week over 87 weeks  
+405 stars, 64 forks, 16 watches  
+created 2021-06-28, last commit 2022-12-01, main language Python  
 
 
 ### [pycoingecko](https://github.com/man-c/pycoingecko) by [man-c](https://github.com/man-c)  
 pycoingecko: Python wrapper for the CoinGecko API  
 [https://github.com/man-c/pycoingecko](https://github.com/man-c/pycoingecko)  
-4.16 stars per week over 223 weeks  
-931 stars, 242 forks, 32 watches  
+4.09 stars per week over 236 weeks  
+966 stars, 259 forks, 33 watches  
 created 2018-08-24, last commit 2022-10-26, main language Python  
 <sub><sup>api, api-wrapper, coingecko, crypto, cryptocurrency, nft, nfts, python, python3, wrapper</sup></sub>
 
 
-### [crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app) by [pmaji](https://github.com/pmaji)  
-crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.  
-[https://github.com/pmaji/crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app)  
-2.16 stars per week over 254 weeks  
-548 stars, 132 forks, 48 watches  
-created 2018-01-23, last commit 2022-11-26, main language Python  
-<sub><sup>bitcoin, bitcoin-api, bitcoin-price, cryptocurrency, cryptocurrency-exchanges, cryptocurrency-price-ticker, cryptocurrency-prices, dash, ethereum, ethereum-blockchain, ethereum-price, gdax, gdax-api, gdax-python, litecoin, litecoin-price, plotly, plotly-dash, python, python3</sup></sub>
-
-
-### [panoramix](https://github.com/palkeo/panoramix) by [palkeo](https://github.com/palkeo)  
-panoramix: Ethereum decompiler  
-[https://github.com/palkeo/panoramix](https://github.com/palkeo/panoramix)  
-3.48 stars per week over 146 weeks  
-509 stars, 140 forks, 30 watches  
-created 2020-02-17, last commit 2020-08-22, main language Python  
-
-
-### [ethtx](https://github.com/ethtx/ethtx)  
-ethtx: Python package with core transaction decoding functions.  
-[https://www.ethtx.info](https://www.ethtx.info)  
-[https://github.com/ethtx/ethtx](https://github.com/ethtx/ethtx)  
-5.19 stars per week over 75 weeks  
-391 stars, 61 forks, 16 watches  
-created 2021-06-28, last commit 2022-12-01, main language Python  
+### [bit](https://github.com/ofek/bit) by [ofek](https://github.com/ofek)  
+Bitcoin made easy.  
+[https://ofek.dev/bit/](https://ofek.dev/bit/)  
+[https://github.com/ofek/bit](https://github.com/ofek/bit)  
+3.44 stars per week over 329 weeks  
+1,131 stars, 188 forks, 48 watches  
+created 2016-11-12, last commit 2023-02-11, main language Python  
+<sub><sup>bitcoin, cryptocurrencies, libraries, payments, python</sup></sub>
 
 
 ### [eth-utils](https://github.com/ethereum/eth-utils) by [ethereum](https://github.com/ethereum)  
 eth-utils: Utility functions for working with ethereum related codebases.  
 [https://eth-utils.readthedocs.io/en/latest/](https://eth-utils.readthedocs.io/en/latest/)  
 [https://github.com/ethereum/eth-utils](https://github.com/ethereum/eth-utils)  
-0.86 stars per week over 304 weeks  
-263 stars, 141 forks, 19 watches  
+0.85 stars per week over 316 weeks  
+270 stars, 141 forks, 18 watches  
 created 2017-02-07, last commit 2022-11-17, main language Python  
 <sub><sup>ethereum, python, utility-library</sup></sub>
 
@@ -137,40 +120,57 @@ created 2017-02-07, last commit 2022-11-17, main language Python
 ethtx_ce: Ethereum transaction decoder (community version).  
 [https://ethtx.info](https://ethtx.info)  
 [https://github.com/ethtx/ethtx_ce](https://github.com/ethtx/ethtx_ce)  
-3.35 stars per week over 71 weeks  
-239 stars, 59 forks, 13 watches  
-created 2021-07-26, last commit 2022-12-05, main language Python  
+2.89 stars per week over 83 weeks  
+242 stars, 60 forks, 13 watches  
+created 2021-07-26, last commit 2022-12-22, main language Python  
+
+
+### [panoramix](https://github.com/palkeo/panoramix) by [palkeo](https://github.com/palkeo)  
+panoramix: Ethereum decompiler  
+[https://github.com/palkeo/panoramix](https://github.com/palkeo/panoramix)  
+3.55 stars per week over 158 weeks  
+564 stars, 154 forks, 31 watches  
+created 2020-02-17, last commit 2020-08-22, main language Python  
 
 
 ### [in3](https://github.com/blockchainsllc/in3) by [blockchainsllc](https://github.com/blockchainsllc)  
 in3: The IN3 client (written in C).  
 [https://in3.readthedocs.io/en/develop/index.html](https://in3.readthedocs.io/en/develop/index.html)  
 [https://github.com/blockchainsllc/in3](https://github.com/blockchainsllc/in3)  
-0.39 stars per week over 168 weeks  
-65 stars, 18 forks, 12 watches  
+0.37 stars per week over 180 weeks  
+66 stars, 19 forks, 12 watches  
 created 2019-09-17, last commit 2022-04-01, main language C  
 <sub><sup>blockchain, crypto-economic, ethereum, ipfs, verify</sup></sub>
 
 
-### [crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto) by [dylanhogg](https://github.com/dylanhogg)  
-crazy-awesome-crypto: A list of awesome crypto and blockchain projects  
-[https://www.awesomecrypto.xyz/](https://www.awesomecrypto.xyz/)  
-[https://github.com/dylanhogg/crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto)  
-0.67 stars per week over 62 weeks  
-42 stars, 12 forks, 4 watches  
-created 2021-09-27, last commit 2022-10-30, main language Python  
-<sub><sup>awesome, awesome-list, bitcoin, blockchain, crypto, cryptocurrency, data, data-analysis, ethereum, github</sup></sub>
+### [crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app) by [pmaji](https://github.com/pmaji)  
+crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.  
+[https://github.com/pmaji/crypto-whale-watching-app](https://github.com/pmaji/crypto-whale-watching-app)  
+2.08 stars per week over 266 weeks  
+555 stars, 135 forks, 48 watches  
+created 2018-01-23, last commit 2022-12-08, main language Python  
+<sub><sup>bitcoin, bitcoin-api, bitcoin-price, cryptocurrency, cryptocurrency-exchanges, cryptocurrency-price-ticker, cryptocurrency-prices, dash, ethereum, ethereum-blockchain, ethereum-price, gdax, gdax-api, gdax-python, litecoin, litecoin-price, plotly, plotly-dash, python, python3</sup></sub>
 
 
 ### [ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm) by [nerolation](https://github.com/nerolation)  
 ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io  
 [https://github.com/nerolation/ethereum-datafarm](https://github.com/nerolation/ethereum-datafarm)  
-0.38 stars per week over 90 weeks  
-34 stars, 8 forks, 1 watches  
-created 2021-03-13, last commit 2022-11-19, main language Python  
+0.47 stars per week over 103 weeks  
+48 stars, 10 forks, 1 watches  
+created 2021-03-13, last commit 2023-02-25, main language Python  
+
+
+### [crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto) by [dylanhogg](https://github.com/dylanhogg)  
+crazy-awesome-crypto: A list of awesome crypto and blockchain projects  
+[https://www.awesomecrypto.xyz/](https://www.awesomecrypto.xyz/)  
+[https://github.com/dylanhogg/crazy-awesome-crypto](https://github.com/dylanhogg/crazy-awesome-crypto)  
+0.64 stars per week over 74 weeks  
+48 stars, 15 forks, 4 watches  
+created 2021-09-27, last commit 2023-02-13, main language Python  
+<sub><sup>awesome, awesome-list, bitcoin, blockchain, crypto, cryptocurrency, data, data-analysis, ethereum, github</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/data.md b/categories/data.md
index 185c80f..2306023 100644
--- a/categories/data.md
+++ b/categories/data.md
@@ -1,710 +1,765 @@
 # Crazy Awesome Python
-A selection of 74 curated data Python libraries and frameworks ordered by stars.  
+A selection of 80 curated data Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
+### [arrow](https://github.com/apache/arrow) by [apache](https://github.com/apache)  
+arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing  
+[https://arrow.apache.org/](https://arrow.apache.org/)  
+[https://github.com/apache/arrow](https://github.com/apache/arrow)  
+30 stars per week over 367 weeks  
+11,225 stars, 2,764 forks, 345 watches  
+created 2016-02-17, last commit 2023-03-04, main language C++  
+<sub><sup>arrow</sup></sub>
+
+
 ### [scrapy](https://github.com/scrapy/scrapy)  
 Scrapy, a fast high-level web crawling & scraping framework for Python.  
 [https://scrapy.org](https://scrapy.org)  
 [https://github.com/scrapy/scrapy](https://github.com/scrapy/scrapy)  
-67 stars per week over 667 weeks  
-45,297 stars, 9,798 forks, 1,787 watches  
-created 2010-02-22, last commit 2022-12-05, main language Python  
-<sub><sup>crawler, crawling, framework, hacktoberfest, python, scraping</sup></sub>
-
-
-### [EasyOCR](https://github.com/jaidedai/easyocr) by [jaidedai](https://github.com/jaidedai)  
-EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.  
-[https://www.jaided.ai](https://www.jaided.ai)  
-[https://github.com/jaidedai/easyocr](https://github.com/jaidedai/easyocr)  
-115 stars per week over 142 weeks  
-16,464 stars, 2,375 forks, 282 watches  
-created 2020-03-14, last commit 2022-11-18, main language Python  
-<sub><sup>cnn, crnn, data-mining, deep-learning, easyocr, image-processing, information-retrieval, lstm, machine-learning, ocr, optical-character-recognition, python, pytorch, scene-text, scene-text-recognition</sup></sub>
-
-
-### [pyspider](https://github.com/binux/pyspider) by [binux](https://github.com/binux)  
-pyspider: A Powerful Spider(Web Crawler) System in Python.  
-[http://docs.pyspider.org/](http://docs.pyspider.org/)  
-[https://github.com/binux/pyspider](https://github.com/binux/pyspider)  
-34 stars per week over 458 weeks  
-15,669 stars, 3,662 forks, 906 watches  
-created 2014-02-21, last commit 2020-08-02, main language Python  
-<sub><sup>crawler, python</sup></sub>
-
-
-### [faker](https://github.com/joke2k/faker) by [joke2k](https://github.com/joke2k)  
-Faker is a Python package that generates fake data for you.  
-[http://faker.rtfd.org](http://faker.rtfd.org)  
-[https://github.com/joke2k/faker](https://github.com/joke2k/faker)  
-28 stars per week over 525 weeks  
-15,138 stars, 1,702 forks, 222 watches  
-created 2012-11-12, last commit 2022-11-30, main language Python  
-<sub><sup>dataset, fake, fake-data, python, test-data, test-data-generator, testing</sup></sub>
+68 stars per week over 679 weeks  
+46,354 stars, 9,883 forks, 1,783 watches  
+created 2010-02-22, last commit 2023-03-02, main language Python  
+<sub><sup>crawler, crawling, framework, hacktoberfest, python, scraping, web-scraping, web-scraping-python</sup></sub>
 
 
-### [twint](https://github.com/twintproject/twint) by [twintproject](https://github.com/twintproject)  
-twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.  
-[https://github.com/twintproject/twint](https://github.com/twintproject/twint)  
-49 stars per week over 286 weeks  
-14,151 stars, 2,429 forks, 310 watches  
-created 2017-06-10, last commit 2021-03-02, main language Python  
-<sub><sup>elasticsearch, kibana, osint, python, scrape, scrape-followers, scrape-following, scrape-likes, tweep, tweets, twint, twitter</sup></sub>
+### [duckdb](https://github.com/duckdb/duckdb)  
+DuckDB is an in-process SQL OLAP Database Management System  
+[http://www.duckdb.org](http://www.duckdb.org)  
+[https://github.com/duckdb/duckdb](https://github.com/duckdb/duckdb)  
+35 stars per week over 244 weeks  
+8,808 stars, 815 forks, 136 watches  
+created 2018-06-26, last commit 2023-03-04, main language C++  
+<sub><sup>analytics, database, embedded-database, olap, sql</sup></sub>
 
 
-### [arrow](https://github.com/apache/arrow) by [apache](https://github.com/apache)  
-arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing  
-[https://arrow.apache.org/](https://arrow.apache.org/)  
-[https://github.com/apache/arrow](https://github.com/apache/arrow)  
-30 stars per week over 355 weeks  
-10,747 stars, 2,638 forks, 345 watches  
-created 2016-02-17, last commit 2022-12-07, main language C++  
-<sub><sup>arrow</sup></sub>
+### [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
+sqlalchemy: The Database Toolkit for Python  
+[https://www.sqlalchemy.org](https://www.sqlalchemy.org)  
+[https://github.com/sqlalchemy/sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
+30 stars per week over 222 weeks  
+6,870 stars, 1,087 forks, 90 watches  
+created 2018-11-27, last commit 2023-03-03, main language Python  
+<sub><sup>python, sql, sqlalchemy</sup></sub>
 
 
 ### [dvc](https://github.com/iterative/dvc) by [iterative](https://github.com/iterative)  
 dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management  
 [https://dvc.org](https://dvc.org)  
 [https://github.com/iterative/dvc](https://github.com/iterative/dvc)  
-35 stars per week over 300 weeks  
-10,746 stars, 1,006 forks, 136 watches  
-created 2017-03-04, last commit 2022-12-07, main language Python  
+35 stars per week over 313 weeks  
+11,169 stars, 1,034 forks, 135 watches  
+created 2017-03-04, last commit 2023-03-04, main language Python  
 <sub><sup>ai, collaboration, data-science, data-version-control, developer-tools, git, hacktoberfest, machine-learning, python, reproducibility</sup></sub>
 
 
-### [Photon](https://github.com/s0md3v/photon) by [s0md3v](https://github.com/s0md3v)  
-Photon: Incredibly fast crawler designed for OSINT.  
-[https://github.com/s0md3v/photon](https://github.com/s0md3v/photon)  
-37 stars per week over 244 weeks  
-9,197 stars, 1,358 forks, 324 watches  
-created 2018-03-30, last commit 2022-03-16, main language Python  
-<sub><sup>crawler, information-gathering, osint, python, spider</sup></sub>
+### [EasyOCR](https://github.com/jaidedai/easyocr) by [jaidedai](https://github.com/jaidedai)  
+EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.  
+[https://www.jaided.ai](https://www.jaided.ai)  
+[https://github.com/jaidedai/easyocr](https://github.com/jaidedai/easyocr)  
+110 stars per week over 155 weeks  
+17,157 stars, 2,483 forks, 283 watches  
+created 2020-03-14, last commit 2023-01-06, main language Python  
+<sub><sup>cnn, crnn, data-mining, deep-learning, easyocr, image-processing, information-retrieval, lstm, machine-learning, ocr, optical-character-recognition, python, pytorch, scene-text, scene-text-recognition</sup></sub>
+
+
+### [faker](https://github.com/joke2k/faker) by [joke2k](https://github.com/joke2k)  
+Faker is a Python package that generates fake data for you.  
+[https://faker.readthedocs.io](https://faker.readthedocs.io)  
+[https://github.com/joke2k/faker](https://github.com/joke2k/faker)  
+28 stars per week over 537 weeks  
+15,469 stars, 1,728 forks, 222 watches  
+created 2012-11-12, last commit 2023-03-03, main language Python  
+<sub><sup>dataset, fake, fake-data, python, test-data, test-data-generator, testing</sup></sub>
 
 
 ### [sqlmodel](https://github.com/tiangolo/sqlmodel) by [tiangolo](https://github.com/tiangolo)  
 sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.  
 [https://sqlmodel.tiangolo.com/](https://sqlmodel.tiangolo.com/)  
 [https://github.com/tiangolo/sqlmodel](https://github.com/tiangolo/sqlmodel)  
-134 stars per week over 67 weeks  
-9,026 stars, 385 forks, 114 watches  
-created 2021-08-24, last commit 2022-11-12, main language Python  
+119 stars per week over 79 weeks  
+9,495 stars, 409 forks, 125 watches  
+created 2021-08-24, last commit 2023-02-21, main language Python  
 <sub><sup>fastapi, json, json-schema, pydantic, python, sql, sqlalchemy</sup></sub>
 
 
-### [duckdb](https://github.com/duckdb/duckdb)  
-DuckDB is an in-process SQL OLAP Database Management System  
-[http://www.duckdb.org](http://www.duckdb.org)  
-[https://github.com/duckdb/duckdb](https://github.com/duckdb/duckdb)  
-32 stars per week over 232 weeks  
-7,538 stars, 716 forks, 114 watches  
-created 2018-06-26, last commit 2022-12-07, main language C++  
-<sub><sup>analytics, database, embedded-database, olap, sql</sup></sub>
-
-
 ### [datasette](https://github.com/simonw/datasette) by [simonw](https://github.com/simonw)  
 datasette: An open source multi-tool for exploring and publishing data  
 [https://datasette.io](https://datasette.io)  
 [https://github.com/simonw/datasette](https://github.com/simonw/datasette)  
-25 stars per week over 267 weeks  
-6,729 stars, 470 forks, 99 watches  
-created 2017-10-23, last commit 2022-12-03, main language Python  
+25 stars per week over 279 weeks  
+7,185 stars, 498 forks, 101 watches  
+created 2017-10-23, last commit 2023-01-28, main language Python  
 <sub><sup>asgi, automatic-api, csv, datasets, datasette, datasette-io, docker, json, python, sql, sqlite</sup></sub>
 
 
+### [data-diff](https://github.com/datafold/data-diff) by [datafold](https://github.com/datafold)  
+data-diff: Efficiently diff data in or across relational databases  
+[https://www.datafold.com/blog/open-source-data-diff](https://www.datafold.com/blog/open-source-data-diff)  
+[https://github.com/datafold/data-diff](https://github.com/datafold/data-diff)  
+41 stars per week over 51 weeks  
+2,155 stars, 102 forks, 16 watches  
+created 2022-03-07, last commit 2023-03-04, main language Python  
+<sub><sup>data-engineering, data-quality, data-quality-monitoring, data-science, database, databricks-sql, dataengineering, dataquality, dbt, mysql, oracle-database, postgres, postgresql, python, rdbms, snowflake, sql, trino</sup></sub>
+
+
+### [grist-core](https://github.com/gristlabs/grist-core) by [gristlabs](https://github.com/gristlabs)  
+grist-core: Grist is the evolution of spreadsheets.  
+[https://support.getgrist.com/self-managed/](https://support.getgrist.com/self-managed/)  
+[https://github.com/gristlabs/grist-core](https://github.com/gristlabs/grist-core)  
+25 stars per week over 145 weeks  
+3,669 stars, 171 forks, 41 watches  
+created 2020-05-22, last commit 2023-03-03, main language TypeScript  
+<sub><sup>awesome, database, spreadsheet</sup></sub>
+
+
+### [deepchecks](https://github.com/deepchecks/deepchecks)  
+Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.  
+[https://docs.deepchecks.com/stable](https://docs.deepchecks.com/stable)  
+[https://github.com/deepchecks/deepchecks](https://github.com/deepchecks/deepchecks)  
+33 stars per week over 72 weeks  
+2,460 stars, 179 forks, 11 watches  
+created 2021-10-11, last commit 2023-03-03, main language Python  
+<sub><sup>data-drift, data-science, data-validation, deep-learning, html-report, jupyter-notebook, machine-learning, ml, mlops, model-monitoring, model-validation, pandas-dataframe, python, pytorch</sup></sub>
+
+
 ### [pyod](https://github.com/yzhao062/pyod) by [yzhao062](https://github.com/yzhao062)  
 pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)  
 [http://pyod.readthedocs.io](http://pyod.readthedocs.io)  
 [https://github.com/yzhao062/pyod](https://github.com/yzhao062/pyod)  
-24 stars per week over 270 weeks  
-6,529 stars, 1,214 forks, 150 watches  
-created 2017-10-03, last commit 2022-10-24, main language Python  
+24 stars per week over 282 weeks  
+6,790 stars, 1,240 forks, 152 watches  
+created 2017-10-03, last commit 2022-12-16, main language Python  
 <sub><sup>anomaly, anomaly-detection, autoencoder, data-analysis, data-mining, data-science, deep-learning, fraud-detection, machine-learning, neural-networks, novelty-detection, out-of-distribution-detection, outlier-detection, outlier-ensembles, outliers, python, python2, python3, unsupervised-learning</sup></sub>
 
 
-### [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
-sqlalchemy: The Database Toolkit for Python  
-[https://www.sqlalchemy.org](https://www.sqlalchemy.org)  
-[https://github.com/sqlalchemy/sqlalchemy](https://github.com/sqlalchemy/sqlalchemy)  
-30 stars per week over 210 weeks  
-6,408 stars, 1,022 forks, 95 watches  
-created 2018-11-27, last commit 2022-12-06, main language Python  
+### [amundsen](https://github.com/amundsen-io/amundsen) by [amundsen-io](https://github.com/amundsen-io)  
+Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.  
+[https://www.amundsen.io/amundsen/](https://www.amundsen.io/amundsen/)  
+[https://github.com/amundsen-io/amundsen](https://github.com/amundsen-io/amundsen)  
+19 stars per week over 198 weeks  
+3,796 stars, 906 forks, 246 watches  
+created 2019-05-14, last commit 2023-02-28, main language Python  
+<sub><sup>amundsen, data-catalog, data-discovery, linuxfoundation, metadata</sup></sub>
+
+
+### [ibis](https://github.com/ibis-project/ibis) by [ibis-project](https://github.com/ibis-project)  
+ibis: Expressive analytics in Python at any scale.  
+[https://ibis-project.org](https://ibis-project.org)  
+[https://github.com/ibis-project/ibis](https://github.com/ibis-project/ibis)  
+6.03 stars per week over 411 weeks  
+2,478 stars, 397 forks, 75 watches  
+created 2015-04-17, last commit 2023-03-04, main language Python  
+<sub><sup>bigquery, clickhouse, dask, database, datafusion, duckdb, impala, mssql, mysql, pandas, polars, postgresql, pyarrow, pyspark, python, snowflake, sql, sqlite, trino</sup></sub>
+
+
+### [alembic](https://github.com/sqlalchemy/alembic) by [sqlalchemy](https://github.com/sqlalchemy)  
+alembic: A database migrations tool for SQLAlchemy.  
+[https://github.com/sqlalchemy/alembic](https://github.com/sqlalchemy/alembic)  
+8.01 stars per week over 222 weeks  
+1,785 stars, 180 forks, 19 watches  
+created 2018-11-27, last commit 2023-03-01, main language Python  
 <sub><sup>python, sql, sqlalchemy</sup></sub>
 
 
-### [flashtext](https://github.com/vi3k6i5/flashtext) by [vi3k6i5](https://github.com/vi3k6i5)  
-flashtext: Extract Keywords from sentence or Replace keywords in sentences.  
-[https://github.com/vi3k6i5/flashtext](https://github.com/vi3k6i5/flashtext)  
-19 stars per week over 277 weeks  
-5,321 stars, 598 forks, 139 watches  
-created 2017-08-15, last commit 2020-05-03, main language Python  
-<sub><sup>data-extraction, keyword-extraction, nlp, search-in-text, word2vec</sup></sub>
+### [data](https://github.com/pytorch/data) by [pytorch](https://github.com/pytorch)  
+data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.  
+[https://github.com/pytorch/data](https://github.com/pytorch/data)  
+9.75 stars per week over 94 weeks  
+922 stars, 115 forks, 26 watches  
+created 2021-05-12, last commit 2023-03-03, main language Python  
 
 
 ### [knowledge-repo](https://github.com/airbnb/knowledge-repo) by [airbnb](https://github.com/airbnb)  
 knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.  
 [https://github.com/airbnb/knowledge-repo](https://github.com/airbnb/knowledge-repo)  
-15 stars per week over 329 weeks  
-5,229 stars, 704 forks, 180 watches  
-created 2016-08-17, last commit 2022-12-06, main language Python  
+15 stars per week over 341 weeks  
+5,282 stars, 710 forks, 175 watches  
+created 2016-08-17, last commit 2023-03-01, main language Python  
 <sub><sup>data, data-analysis, data-science, knowledge</sup></sub>
 
 
-### [kaggle-api](https://github.com/kaggle/kaggle-api) by [kaggle](https://github.com/kaggle)  
-kaggle-api: Official Kaggle API  
-[https://github.com/kaggle/kaggle-api](https://github.com/kaggle/kaggle-api)  
-19 stars per week over 253 weeks  
-5,054 stars, 979 forks, 188 watches  
-created 2018-01-25, last commit 2021-03-15, main language Python  
+### [twint](https://github.com/twintproject/twint) by [twintproject](https://github.com/twintproject)  
+twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.  
+[https://github.com/twintproject/twint](https://github.com/twintproject/twint)  
+48 stars per week over 299 weeks  
+14,458 stars, 2,490 forks, 313 watches  
+created 2017-06-10, last commit 2021-03-02, main language Python  
+<sub><sup>elasticsearch, kibana, osint, python, scrape, scrape-followers, scrape-following, scrape-likes, tweep, tweets, twint, twitter</sup></sub>
 
 
-### [autoscraper](https://github.com/alirezamika/autoscraper) by [alirezamika](https://github.com/alirezamika)  
-autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python  
-[https://github.com/alirezamika/autoscraper](https://github.com/alirezamika/autoscraper)  
-40 stars per week over 118 weeks  
-4,756 stars, 510 forks, 124 watches  
-created 2020-08-31, last commit 2022-07-17, main language Python  
-<sub><sup>ai, artificial-intelligence, automation, crawler, machine-learning, python, scrape, scraper, scraping, web-scraping, webautomation, webscraping</sup></sub>
+### [mimesis](https://github.com/lk-geimfari/mimesis) by [lk-geimfari](https://github.com/lk-geimfari)  
+Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.   
+[https://mimesis.name](https://mimesis.name)  
+[https://github.com/lk-geimfari/mimesis](https://github.com/lk-geimfari/mimesis)  
+11 stars per week over 338 weeks  
+3,915 stars, 308 forks, 64 watches  
+created 2016-09-09, last commit 2023-02-26, main language Python  
+<sub><sup>api-mock, data, datascience, dummy, fake, faker, fixtures, generator, json, json-generator, mimesis, mock, python, schema, synthetic-data, testing</sup></sub>
+
+
+### [ormar](https://github.com/collerek/ormar) by [collerek](https://github.com/collerek)  
+ormar: python async orm with fastapi in mind and pydantic validation  
+[https://collerek.github.io/ormar/](https://collerek.github.io/ormar/)  
+[https://github.com/collerek/ormar](https://github.com/collerek/ormar)  
+9.36 stars per week over 135 weeks  
+1,264 stars, 62 forks, 15 watches  
+created 2020-08-02, last commit 2023-02-28, main language Python  
+<sub><sup>alembic, async-orm, databases, fastapi, orm, pydantic, python-orm, sqlalchemy</sup></sub>
+
+
+### [tablib](https://github.com/jazzband/tablib) by [jazzband](https://github.com/jazzband)  
+tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.  
+[https://tablib.readthedocs.io/](https://tablib.readthedocs.io/)  
+[https://github.com/jazzband/tablib](https://github.com/jazzband/tablib)  
+6.8 stars per week over 622 weeks  
+4,233 stars, 573 forks, 141 watches  
+created 2011-03-28, last commit 2023-03-03, main language Python  
 
 
 ### [AugLy](https://github.com/facebookresearch/augly) by [facebookresearch](https://github.com/facebookresearch)  
 AugLy: A data augmentations library for audio, image, text, and video.  
 [https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/](https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/)  
 [https://github.com/facebookresearch/augly](https://github.com/facebookresearch/augly)  
-59 stars per week over 78 weeks  
-4,618 stars, 265 forks, 61 watches  
+51 stars per week over 90 weeks  
+4,671 stars, 275 forks, 62 watches  
 created 2021-06-09, last commit 2022-12-05, main language Python  
 
 
-### [tablib](https://github.com/jazzband/tablib) by [jazzband](https://github.com/jazzband)  
-tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.  
-[https://tablib.readthedocs.io/](https://tablib.readthedocs.io/)  
-[https://github.com/jazzband/tablib](https://github.com/jazzband/tablib)  
-6.88 stars per week over 610 weeks  
-4,197 stars, 568 forks, 141 watches  
-created 2011-03-28, last commit 2022-10-31, main language Python  
+### [zarr-python](https://github.com/zarr-developers/zarr-python) by [zarr-developers](https://github.com/zarr-developers)  
+zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.  
+[http://zarr.readthedocs.io/](http://zarr.readthedocs.io/)  
+[https://github.com/zarr-developers/zarr-python](https://github.com/zarr-developers/zarr-python)  
+2.9 stars per week over 376 weeks  
+1,093 stars, 217 forks, 45 watches  
+created 2015-12-15, last commit 2023-02-23, main language Python  
+<sub><sup>compressed, hacktoberfest, ndimensional-arrays, python, zarr</sup></sub>
 
 
-### [mimesis](https://github.com/lk-geimfari/mimesis) by [lk-geimfari](https://github.com/lk-geimfari)  
-Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages.   
-[https://mimesis.name](https://mimesis.name)  
-[https://github.com/lk-geimfari/mimesis](https://github.com/lk-geimfari/mimesis)  
-11 stars per week over 325 weeks  
-3,822 stars, 303 forks, 64 watches  
-created 2016-09-09, last commit 2022-10-27, main language Python  
-<sub><sup>api-mock, data, datascience, dummy, fake, faker, fixtures, generator, json, json-generator, mimesis, mock, python, schema, synthetic-data, testing</sup></sub>
+### [tensorstore](https://github.com/google/tensorstore) by [google](https://github.com/google)  
+tensorstore: Library for reading and writing large multi-dimensional arrays.  
+[https://google.github.io/tensorstore/](https://google.github.io/tensorstore/)  
+[https://github.com/google/tensorstore](https://github.com/google/tensorstore)  
+7.2 stars per week over 152 weeks  
+1,100 stars, 83 forks, 33 watches  
+created 2020-03-30, last commit 2023-03-03, main language C++  
 
 
-### [amundsen](https://github.com/amundsen-io/amundsen) by [amundsen-io](https://github.com/amundsen-io)  
-Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.  
-[https://www.amundsen.io/amundsen/](https://www.amundsen.io/amundsen/)  
-[https://github.com/amundsen-io/amundsen](https://github.com/amundsen-io/amundsen)  
-19 stars per week over 186 weeks  
-3,661 stars, 888 forks, 245 watches  
-created 2019-05-14, last commit 2022-12-06, main language Python  
-<sub><sup>amundsen, data-catalog, data-discovery, linuxfoundation, metadata</sup></sub>
+### [Photon](https://github.com/s0md3v/photon) by [s0md3v](https://github.com/s0md3v)  
+Photon: Incredibly fast crawler designed for OSINT.  
+[https://github.com/s0md3v/photon](https://github.com/s0md3v/photon)  
+36 stars per week over 257 weeks  
+9,433 stars, 1,380 forks, 326 watches  
+created 2018-03-30, last commit 2022-12-20, main language Python  
+<sub><sup>crawler, information-gathering, osint, python, spider</sup></sub>
 
 
-### [grist-core](https://github.com/gristlabs/grist-core) by [gristlabs](https://github.com/gristlabs)  
-grist-core: Grist is the evolution of spreadsheets.  
-[https://support.getgrist.com/self-managed/](https://support.getgrist.com/self-managed/)  
-[https://github.com/gristlabs/grist-core](https://github.com/gristlabs/grist-core)  
-26 stars per week over 132 weeks  
-3,487 stars, 162 forks, 40 watches  
-created 2020-05-22, last commit 2022-12-05, main language TypeScript  
-<sub><sup>awesome, database, spreadsheet</sup></sub>
+### [xlwings](https://github.com/zoomeranalytics/xlwings) by [zoomeranalytics](https://github.com/zoomeranalytics)  
+xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.   
+[https://www.xlwings.org](https://www.xlwings.org)  
+[https://github.com/zoomeranalytics/xlwings](https://github.com/zoomeranalytics/xlwings)  
+5.42 stars per week over 467 weeks  
+2,534 stars, 455 forks, 119 watches  
+created 2014-03-17, last commit 2023-03-02, main language Python  
+<sub><sup>automation, excel, google-sheets, googlesheets, python, reporting</sup></sub>
 
 
 ### [XlsxWriter](https://github.com/jmcnamara/xlsxwriter) by [jmcnamara](https://github.com/jmcnamara)  
 XlsxWriter: A Python module for creating Excel XLSX files.  
 [https://xlsxwriter.readthedocs.io](https://xlsxwriter.readthedocs.io)  
 [https://github.com/jmcnamara/xlsxwriter](https://github.com/jmcnamara/xlsxwriter)  
-6.0 stars per week over 517 weeks  
-3,105 stars, 590 forks, 120 watches  
-created 2013-01-04, last commit 2022-11-01, main language Python  
+5.98 stars per week over 530 weeks  
+3,169 stars, 594 forks, 121 watches  
+created 2013-01-04, last commit 2023-03-01, main language Python  
 <sub><sup>charts, libxlsxwriter, pandas, python, spreadsheet, xlsx, xlsx-files, xlsxwriter</sup></sub>
 
 
-### [sqlparse](https://github.com/andialbrecht/sqlparse) by [andialbrecht](https://github.com/andialbrecht)  
-sqlparse: A non-validating SQL parser module for Python  
-[https://github.com/andialbrecht/sqlparse](https://github.com/andialbrecht/sqlparse)  
-5.54 stars per week over 555 weeks  
-3,077 stars, 612 forks, 93 watches  
-created 2012-04-18, last commit 2022-09-23, main language Python  
-
-
-### [praw](https://github.com/praw-dev/praw) by [praw-dev](https://github.com/praw-dev)  
-PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
-[http://praw.readthedocs.io/](http://praw.readthedocs.io/)  
-[https://github.com/praw-dev/praw](https://github.com/praw-dev/praw)  
-4.61 stars per week over 641 weeks  
-2,956 stars, 449 forks, 72 watches  
-created 2010-08-19, last commit 2022-12-07, main language Python  
-<sub><sup>api, oauth, praw, python, reddit, reddit-api</sup></sub>
+### [awkward](https://github.com/scikit-hep/awkward-1.0) by [scikit-hep](https://github.com/scikit-hep)  
+awkward: Manipulate JSON-like data with NumPy-like idioms.  
+[https://awkward-array.org](https://awkward-array.org)  
+[https://github.com/scikit-hep/awkward-1.0](https://github.com/scikit-hep/awkward-1.0)  
+3.51 stars per week over 185 weeks  
+651 stars, 68 forks, 17 watches  
+created 2019-08-14, last commit 2023-03-03, main language Python  
+<sub><sup>apache-arrow, cern-root, columnar-format, data-analysis, jagged-array, json, numba, numpy, pandas, python, ragged-array, scikit-hep</sup></sub>
 
 
-### [cerberus](https://github.com/pyeve/cerberus) by [pyeve](https://github.com/pyeve)  
-cerberus: Lightweight, extensible data validation library for Python  
-[http://python-cerberus.org](http://python-cerberus.org)  
-[https://github.com/pyeve/cerberus](https://github.com/pyeve/cerberus)  
-5.44 stars per week over 530 weeks  
-2,884 stars, 226 forks, 48 watches  
-created 2012-10-10, last commit 2021-05-05, main language Python  
-<sub><sup>data-validation, python</sup></sub>
+### [connector-x](https://github.com/sfu-db/connector-x) by [sfu-db](https://github.com/sfu-db)  
+connector-x: Fastest library to load data from DB to DataFrames in Rust and Python  
+[https://sfu-db.github.io/connector-x/intro.html](https://sfu-db.github.io/connector-x/intro.html)  
+[https://github.com/sfu-db/connector-x](https://github.com/sfu-db/connector-x)  
+10 stars per week over 111 weeks  
+1,122 stars, 79 forks, 26 watches  
+created 2021-01-13, last commit 2023-02-28, main language Rust  
+<sub><sup>database, dataframe, python, rust, sql</sup></sub>
 
 
-### [itsdangerous](https://github.com/pallets/itsdangerous) by [pallets](https://github.com/pallets)  
-itsdangerous: Safely pass trusted data to untrusted environments and back.  
-[https://itsdangerous.palletsprojects.com](https://itsdangerous.palletsprojects.com)  
-[https://github.com/pallets/itsdangerous](https://github.com/pallets/itsdangerous)  
-4.33 stars per week over 597 weeks  
-2,589 stars, 212 forks, 57 watches  
-created 2011-06-24, last commit 2022-11-01, main language Python  
-<sub><sup>hmac, itsdangerous, pallets, python, security, serialization</sup></sub>
+### [kaggle-api](https://github.com/kaggle/kaggle-api) by [kaggle](https://github.com/kaggle)  
+kaggle-api: Official Kaggle API  
+[https://github.com/kaggle/kaggle-api](https://github.com/kaggle/kaggle-api)  
+19 stars per week over 266 weeks  
+5,190 stars, 984 forks, 192 watches  
+created 2018-01-25, last commit 2023-03-01, main language Python  
 
 
-### [Wikipedia](https://github.com/goldsmith/wikipedia) by [goldsmith](https://github.com/goldsmith)  
-Wikipedia: A Pythonic wrapper for the Wikipedia API  
-[https://wikipedia.readthedocs.org/](https://wikipedia.readthedocs.org/)  
-[https://github.com/goldsmith/wikipedia](https://github.com/goldsmith/wikipedia)  
-5.21 stars per week over 485 weeks  
-2,528 stars, 514 forks, 82 watches  
-created 2013-08-20, last commit 2020-10-09, main language Python  
+### [autoscraper](https://github.com/alirezamika/autoscraper) by [alirezamika](https://github.com/alirezamika)  
+autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python  
+[https://github.com/alirezamika/autoscraper](https://github.com/alirezamika/autoscraper)  
+38 stars per week over 130 weeks  
+4,975 stars, 525 forks, 125 watches  
+created 2020-08-31, last commit 2022-07-17, main language Python  
+<sub><sup>ai, artificial-intelligence, automation, crawler, machine-learning, python, scrape, scraper, scraping, web-scraping, webautomation, webscraping</sup></sub>
 
 
-### [xlwings](https://github.com/zoomeranalytics/xlwings) by [zoomeranalytics](https://github.com/zoomeranalytics)  
-xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.   
-[https://www.xlwings.org](https://www.xlwings.org)  
-[https://github.com/zoomeranalytics/xlwings](https://github.com/zoomeranalytics/xlwings)  
-5.4 stars per week over 455 weeks  
-2,458 stars, 450 forks, 120 watches  
-created 2014-03-17, last commit 2022-12-03, main language Python  
-<sub><sup>automation, excel, google-sheets, googlesheets, python, reporting</sup></sub>
+### [SDV](https://github.com/sdv-dev/sdv) by [sdv-dev](https://github.com/sdv-dev)  
+SDV: Synthetic Data Generation for tabular, relational and time series data.  
+[https://sdv.dev/SDV](https://sdv.dev/SDV)  
+[https://github.com/sdv-dev/sdv](https://github.com/sdv-dev/sdv)  
+5.18 stars per week over 251 weeks  
+1,302 stars, 208 forks, 40 watches  
+created 2018-05-11, last commit 2023-01-24, main language Python  
+<sub><sup>data-generation, deep-learning, gan, gans, generative-adversarial-network, generative-ai, generative-model, machine-learning, multi-table, relational-datasets, sdv, synthetic-data, synthetic-data-generation, time-series</sup></sub>
 
 
-### [deepchecks](https://github.com/deepchecks/deepchecks)  
-deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.  
-[https://docs.deepchecks.com](https://docs.deepchecks.com)  
-[https://github.com/deepchecks/deepchecks](https://github.com/deepchecks/deepchecks)  
-37 stars per week over 60 weeks  
-2,265 stars, 158 forks, 13 watches  
-created 2021-10-11, last commit 2022-12-06, main language Python  
-<sub><sup>data-drift, data-science, data-validation, deep-learning, html-report, jupyter-notebook, machine-learning, ml, mlops, model-monitoring, model-validation, pandas-dataframe, python, pytorch</sup></sub>
+### [praw](https://github.com/praw-dev/praw) by [praw-dev](https://github.com/praw-dev)  
+PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
+[http://praw.readthedocs.io/](http://praw.readthedocs.io/)  
+[https://github.com/praw-dev/praw](https://github.com/praw-dev/praw)  
+4.6 stars per week over 654 weeks  
+3,012 stars, 450 forks, 71 watches  
+created 2010-08-19, last commit 2023-02-25, main language Python  
+<sub><sup>api, oauth, praw, python, reddit, reddit-api</sup></sub>
 
 
-### [ibis](https://github.com/ibis-project/ibis) by [ibis-project](https://github.com/ibis-project)  
-ibis: Expressive analytics in Python at any scale.  
-[http://ibis-project.org](http://ibis-project.org)  
-[https://github.com/ibis-project/ibis](https://github.com/ibis-project/ibis)  
-5.56 stars per week over 398 weeks  
-2,217 stars, 371 forks, 77 watches  
-created 2015-04-17, last commit 2022-12-07, main language Python  
-<sub><sup>arrow, bigquery, clickhouse, dask, database, datafusion, duckdb, impala, mssql, mysql, pandas, polars, postgresql, pyarrow, pyspark, python, spark, sql, sqlalchemy, sqlite</sup></sub>
+### [pyspider](https://github.com/binux/pyspider) by [binux](https://github.com/binux)  
+pyspider: A Powerful Spider(Web Crawler) System in Python.  
+[http://docs.pyspider.org/](http://docs.pyspider.org/)  
+[https://github.com/binux/pyspider](https://github.com/binux/pyspider)  
+33 stars per week over 471 weeks  
+15,758 stars, 3,673 forks, 905 watches  
+created 2014-02-21, last commit 2020-08-02, main language Python  
+<sub><sup>crawler, python</sup></sub>
 
 
 ### [PynamoDB](https://github.com/pynamodb/pynamodb) by [pynamodb](https://github.com/pynamodb)  
 PynamoDB: A pythonic interface to Amazon's DynamoDB  
 [http://pynamodb.readthedocs.io](http://pynamodb.readthedocs.io)  
 [https://github.com/pynamodb/pynamodb](https://github.com/pynamodb/pynamodb)  
-4.42 stars per week over 463 weeks  
-2,048 stars, 411 forks, 41 watches  
-created 2014-01-20, last commit 2022-12-06, main language Python  
+4.47 stars per week over 475 weeks  
+2,126 stars, 418 forks, 41 watches  
+created 2014-01-20, last commit 2023-02-28, main language Python  
 <sub><sup>aws, dynamodb, python</sup></sub>
 
 
-### [data-diff](https://github.com/datafold/data-diff) by [datafold](https://github.com/datafold)  
-data-diff: Efficiently diff data in or across relational databases  
-[https://www.datafold.com/blog/open-source-data-diff](https://www.datafold.com/blog/open-source-data-diff)  
-[https://github.com/datafold/data-diff](https://github.com/datafold/data-diff)  
-47 stars per week over 39 weeks  
-1,849 stars, 81 forks, 14 watches  
-created 2022-03-07, last commit 2022-12-06, main language Python  
-<sub><sup>data-engineering, data-quality, data-quality-monitoring, data-science, database, databricks-sql, dataengineering, dataquality, mysql, oracle-database, postgres, postgresql, rdbms, snowflake, sql, trino</sup></sub>
-
-
-### [dill](https://github.com/uqfoundation/dill) by [uqfoundation](https://github.com/uqfoundation)  
-dill: serialize all of python  
-[http://dill.rtfd.io](http://dill.rtfd.io)  
-[https://github.com/uqfoundation/dill](https://github.com/uqfoundation/dill)  
-3.68 stars per week over 492 weeks  
-1,814 stars, 149 forks, 22 watches  
-created 2013-06-28, last commit 2022-10-26, main language Python  
-
-
-### [pygraphistry](https://github.com/graphistry/pygraphistry) by [graphistry](https://github.com/graphistry)  
-PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer  
-[https://github.com/graphistry/pygraphistry](https://github.com/graphistry/pygraphistry)  
-4.49 stars per week over 392 weeks  
-1,759 stars, 185 forks, 48 watches  
-created 2015-06-02, last commit 2022-11-29, main language Python  
-<sub><sup>csv, cudf, cugraph, gpu, graph, graph-visualization, graphistry, igraph, jupyter, neo4j, network-analysis, network-visualization, networkx, pandas, python, rapids, splunk, tigergraph, visualization, webgl</sup></sub>
-
-
-### [alembic](https://github.com/sqlalchemy/alembic) by [sqlalchemy](https://github.com/sqlalchemy)  
-alembic: A database migrations tool for SQLAlchemy.  
-[https://github.com/sqlalchemy/alembic](https://github.com/sqlalchemy/alembic)  
-7.89 stars per week over 210 weeks  
-1,659 stars, 170 forks, 18 watches  
-created 2018-11-27, last commit 2022-11-28, main language Python  
-<sub><sup>python, sql, sqlalchemy</sup></sub>
+### [python-bigquery](https://github.com/googleapis/python-bigquery) by [googleapis](https://github.com/googleapis)  
+googleapis/python-bigquery  
+[https://github.com/googleapis/python-bigquery](https://github.com/googleapis/python-bigquery)  
+3.4 stars per week over 168 weeks  
+573 stars, 233 forks, 58 watches  
+created 2019-12-10, last commit 2023-03-04, main language Python  
 
 
 ### [petastorm](https://github.com/uber/petastorm) by [uber](https://github.com/uber)  
 Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.  
 [https://github.com/uber/petastorm](https://github.com/uber/petastorm)  
-6.57 stars per week over 233 weeks  
-1,536 stars, 265 forks, 41 watches  
-created 2018-06-15, last commit 2022-09-14, main language Python  
+6.45 stars per week over 246 weeks  
+1,589 stars, 267 forks, 43 watches  
+created 2018-06-15, last commit 2023-02-03, main language Python  
 <sub><sup>deep-learning, machine-learning, parquet, parquet-files, pyarrow, pyspark, pytorch, sysml, tensorflow</sup></sub>
 
 
-### [orator](https://github.com/sdispater/orator) by [sdispater](https://github.com/sdispater)  
-orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.  
-[https://orator-orm.com](https://orator-orm.com)  
-[https://github.com/sdispater/orator](https://github.com/sdispater/orator)  
-3.48 stars per week over 393 weeks  
-1,371 stars, 166 forks, 46 watches  
-created 2015-05-24, last commit 2022-03-13, main language Python  
-<sub><sup>database, orm, python</sup></sub>
-
-
-### [simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
-simple-salesforce: A very simple Salesforce.com REST API client for Python  
-[https://github.com/simple-salesforce/simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
-2.65 stars per week over 515 weeks  
-1,368 stars, 604 forks, 88 watches  
-created 2013-01-17, last commit 2022-10-26, main language Python  
-<sub><sup>api, api-client, python, salesforce</sup></sub>
+### [dill](https://github.com/uqfoundation/dill) by [uqfoundation](https://github.com/uqfoundation)  
+dill: serialize all of python  
+[http://dill.rtfd.io](http://dill.rtfd.io)  
+[https://github.com/uqfoundation/dill](https://github.com/uqfoundation/dill)  
+3.7 stars per week over 505 weeks  
+1,870 stars, 157 forks, 22 watches  
+created 2013-06-28, last commit 2023-02-20, main language Python  
 
 
-### [JoJoGAN](https://github.com/mchong6/jojogan) by [mchong6](https://github.com/mchong6)  
-Official PyTorch repo for JoJoGAN: One Shot Face Stylization  
-[https://github.com/mchong6/jojogan](https://github.com/mchong6/jojogan)  
-24 stars per week over 50 weeks  
-1,264 stars, 185 forks, 24 watches  
-created 2021-12-17, last commit 2022-02-05, main language Jupyter Notebook  
-<sub><sup>anime, gans, image-translation</sup></sub>
+### [python-driver](https://github.com/datastax/python-driver) by [datastax](https://github.com/datastax)  
+python-driver: DataStax Python Driver for Apache Cassandra  
+[https://github.com/datastax/python-driver](https://github.com/datastax/python-driver)  
+2.62 stars per week over 503 weeks  
+1,319 stars, 510 forks, 81 watches  
+created 2013-07-08, last commit 2023-02-28, main language Python  
 
 
-### [sqlacodegen](https://github.com/agronholm/sqlacodegen) by [agronholm](https://github.com/agronholm)  
-sqlacodegen: Automatic model code generator for SQLAlchemy  
-[https://github.com/agronholm/sqlacodegen](https://github.com/agronholm/sqlacodegen)  
-3.98 stars per week over 310 weeks  
-1,235 stars, 195 forks, 20 watches  
-created 2016-12-28, last commit 2022-11-23, main language Python  
+### [intake](https://github.com/intake/intake)  
+Intake is a lightweight package for finding, investigating, loading and disseminating data.  
+[https://intake.readthedocs.io/](https://intake.readthedocs.io/)  
+[https://github.com/intake/intake](https://github.com/intake/intake)  
+3.01 stars per week over 289 weeks  
+873 stars, 125 forks, 43 watches  
+created 2017-08-14, last commit 2023-03-01, main language Python  
+<sub><sup>data-access, data-catalog, python</sup></sub>
 
 
-### [ormar](https://github.com/collerek/ormar) by [collerek](https://github.com/collerek)  
-ormar: python async orm with fastapi in mind and pydantic validation  
-[https://collerek.github.io/ormar/](https://collerek.github.io/ormar/)  
-[https://github.com/collerek/ormar](https://github.com/collerek/ormar)  
-9.58 stars per week over 122 weeks  
-1,173 stars, 60 forks, 15 watches  
-created 2020-08-02, last commit 2022-11-23, main language Python  
-<sub><sup>alembic, async-orm, databases, fastapi, orm, pydantic, python-orm, sqlalchemy</sup></sub>
+### [pygraphistry](https://github.com/graphistry/pygraphistry) by [graphistry](https://github.com/graphistry)  
+PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer  
+[https://github.com/graphistry/pygraphistry](https://github.com/graphistry/pygraphistry)  
+4.47 stars per week over 404 weeks  
+1,811 stars, 188 forks, 47 watches  
+created 2015-06-02, last commit 2022-12-23, main language Python  
+<sub><sup>csv, cudf, cugraph, gpu, graph, graph-visualization, graphistry, igraph, jupyter, neo4j, network-analysis, network-visualization, networkx, pandas, python, rapids, splunk, tigergraph, visualization, webgl</sup></sub>
 
 
-### [SDV](https://github.com/sdv-dev/sdv) by [sdv-dev](https://github.com/sdv-dev)  
-SDV: Synthetic Data Generation for tabular, relational and time series data.  
-[https://sdv.dev/SDV](https://sdv.dev/SDV)  
-[https://github.com/sdv-dev/sdv](https://github.com/sdv-dev/sdv)  
-4.9 stars per week over 238 weeks  
-1,169 stars, 188 forks, 39 watches  
-created 2018-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>data-generation, deep-learning, gan, gans, generative-adversarial-network, generative-ai, generative-model, machine-learning, multi-table, relational-datasets, sdv, synthetic-data, synthetic-data-generation, time-series</sup></sub>
+### [sqlparse](https://github.com/andialbrecht/sqlparse) by [andialbrecht](https://github.com/andialbrecht)  
+sqlparse: A non-validating SQL parser module for Python  
+[https://github.com/andialbrecht/sqlparse](https://github.com/andialbrecht/sqlparse)  
+5.57 stars per week over 567 weeks  
+3,164 stars, 622 forks, 93 watches  
+created 2012-04-18, last commit 2023-01-05, main language Python  
 
 
 ### [PyTables](https://github.com/pytables/pytables) by [pytables](https://github.com/pytables)  
 PyTables: A Python package to manage extremely large amounts of data  
 [http://www.pytables.org](http://www.pytables.org)  
 [https://github.com/pytables/pytables](https://github.com/pytables/pytables)  
-1.93 stars per week over 600 weeks  
-1,161 stars, 235 forks, 59 watches  
-created 2011-06-03, last commit 2022-11-17, main language Python  
-
-
-### [jsonpickle](https://github.com/jsonpickle/jsonpickle)  
-jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.  
-[https://jsonpickle.github.io](https://jsonpickle.github.io)  
-[https://github.com/jsonpickle/jsonpickle](https://github.com/jsonpickle/jsonpickle)  
-1.59 stars per week over 677 weeks  
-1,078 stars, 152 forks, 31 watches  
-created 2009-12-10, last commit 2022-12-02, main language Python  
-<sub><sup>bsd-3-clause, deserialization, json, objectstorage, pickle, python, serialization</sup></sub>
+1.94 stars per week over 613 weeks  
+1,190 stars, 241 forks, 58 watches  
+created 2011-06-03, last commit 2023-02-09, main language Python  
 
 
-### [tensorstore](https://github.com/google/tensorstore) by [google](https://github.com/google)  
-tensorstore: Library for reading and writing large multi-dimensional arrays.  
-[https://google.github.io/tensorstore/](https://google.github.io/tensorstore/)  
-[https://github.com/google/tensorstore](https://github.com/google/tensorstore)  
-7.59 stars per week over 140 weeks  
-1,065 stars, 77 forks, 30 watches  
-created 2020-03-30, last commit 2022-12-06, main language C++  
+### [fugue](https://github.com/fugue-project/fugue) by [fugue-project](https://github.com/fugue-project)  
+fugue: A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.  
+[https://fugue-tutorials.readthedocs.io/](https://fugue-tutorials.readthedocs.io/)  
+[https://github.com/fugue-project/fugue](https://github.com/fugue-project/fugue)  
+8.11 stars per week over 153 weeks  
+1,246 stars, 66 forks, 20 watches  
+created 2020-03-24, last commit 2023-02-23, main language Python  
+<sub><sup>dask, data-practitioners, distributed, distributed-computing, distributed-systems, machine-learning, pandas, spark, sql</sup></sub>
 
 
-### [zarr-python](https://github.com/zarr-developers/zarr-python) by [zarr-developers](https://github.com/zarr-developers)  
-zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.  
-[http://zarr.readthedocs.io/](http://zarr.readthedocs.io/)  
-[https://github.com/zarr-developers/zarr-python](https://github.com/zarr-developers/zarr-python)  
-2.89 stars per week over 364 weeks  
-1,052 stars, 210 forks, 43 watches  
-created 2015-12-15, last commit 2022-12-07, main language Python  
-<sub><sup>compressed, hacktoberfest, ndimensional-arrays, python, zarr</sup></sub>
+### [sqlacodegen](https://github.com/agronholm/sqlacodegen) by [agronholm](https://github.com/agronholm)  
+sqlacodegen: Automatic model code generator for SQLAlchemy  
+[https://github.com/agronholm/sqlacodegen](https://github.com/agronholm/sqlacodegen)  
+4.05 stars per week over 322 weeks  
+1,307 stars, 200 forks, 21 watches  
+created 2016-12-28, last commit 2023-03-04, main language Python  
 
 
 ### [sqlite-utils](https://github.com/simonw/sqlite-utils) by [simonw](https://github.com/simonw)  
 sqlite-utils: Python CLI utility and library for manipulating SQLite databases  
 [https://sqlite-utils.datasette.io](https://sqlite-utils.datasette.io)  
 [https://github.com/simonw/sqlite-utils](https://github.com/simonw/sqlite-utils)  
-4.54 stars per week over 229 weeks  
-1,043 stars, 81 forks, 17 watches  
-created 2018-07-14, last commit 2022-11-29, main language Python  
+4.57 stars per week over 242 weeks  
+1,106 stars, 84 forks, 19 watches  
+created 2018-07-14, last commit 2022-12-10, main language Python  
 <sub><sup>cli, click, datasette, datasette-io, datasette-tool, python, sqlite, sqlite-database</sup></sub>
 
 
-### [fiber](https://github.com/uber/fiber) by [uber](https://github.com/uber)  
-fiber: Distributed Computing for AI Made Simple  
-[https://uber.github.io/fiber/](https://uber.github.io/fiber/)  
-[https://github.com/uber/fiber](https://github.com/uber/fiber)  
-6.53 stars per week over 152 weeks  
-994 stars, 112 forks, 21 watches  
-created 2020-01-07, last commit 2021-03-15, main language Python  
-<sub><sup>distributed-computing, machine-learning, multiprocessing, python, sandbox</sup></sub>
-
-
-### [connector-x](https://github.com/sfu-db/connector-x) by [sfu-db](https://github.com/sfu-db)  
-connector-x: Fastest library to load data from DB to DataFrames in Rust and Python  
-[https://sfu-db.github.io/connector-x/intro.html](https://sfu-db.github.io/connector-x/intro.html)  
-[https://github.com/sfu-db/connector-x](https://github.com/sfu-db/connector-x)  
-9.1 stars per week over 99 weeks  
-901 stars, 66 forks, 24 watches  
-created 2021-01-13, last commit 2022-12-05, main language Rust  
-<sub><sup>database, dataframe, python, rust, sql</sup></sub>
-
-
-### [data](https://github.com/pytorch/data) by [pytorch](https://github.com/pytorch)  
-data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.  
-[https://github.com/pytorch/data](https://github.com/pytorch/data)  
-10 stars per week over 82 weeks  
-865 stars, 100 forks, 26 watches  
-created 2021-05-12, last commit 2022-12-06, main language Python  
-
-
-### [intake](https://github.com/intake/intake)  
-Intake is a lightweight package for finding, investigating, loading and disseminating data.  
-[https://intake.readthedocs.io/](https://intake.readthedocs.io/)  
-[https://github.com/intake/intake](https://github.com/intake/intake)  
-3.03 stars per week over 277 weeks  
-841 stars, 125 forks, 41 watches  
-created 2017-08-14, last commit 2022-12-02, main language Python  
-<sub><sup>data-access, data-catalog, python</sup></sub>
-
-
 ### [scholarly](https://github.com/scholarly-python-package/scholarly) by [scholarly-python-package](https://github.com/scholarly-python-package)  
 scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!  
 [https://scholarly.readthedocs.io/](https://scholarly.readthedocs.io/)  
 [https://github.com/scholarly-python-package/scholarly](https://github.com/scholarly-python-package/scholarly)  
-1.98 stars per week over 418 weeks  
-830 stars, 249 forks, 24 watches  
-created 2014-12-02, last commit 2022-11-30, main language Python  
+2.05 stars per week over 430 weeks  
+883 stars, 254 forks, 25 watches  
+created 2014-12-02, last commit 2023-01-16, main language Python  
 <sub><sup>citation-analysis, citation-index, citation-network, citations, googlescholar, publication-data, python, python-3, python3, scholar, scholarly-articles, scholarly-communications</sup></sub>
 
 
+### [jsonpickle](https://github.com/jsonpickle/jsonpickle)  
+jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.  
+[https://jsonpickle.github.io](https://jsonpickle.github.io)  
+[https://github.com/jsonpickle/jsonpickle](https://github.com/jsonpickle/jsonpickle)  
+1.6 stars per week over 690 weeks  
+1,106 stars, 155 forks, 32 watches  
+created 2009-12-10, last commit 2023-02-22, main language Python  
+<sub><sup>bsd-3-clause, deserialization, json, objectstorage, pickle, python, serialization</sup></sub>
+
+
+### [fastparquet](https://github.com/dask/fastparquet) by [dask](https://github.com/dask)  
+fastparquet: python implementation of the parquet columnar file format.  
+[https://github.com/dask/fastparquet](https://github.com/dask/fastparquet)  
+1.68 stars per week over 382 weeks  
+642 stars, 164 forks, 18 watches  
+created 2015-11-06, last commit 2023-02-09, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
+
+
 ### [neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver) by [neo4j](https://github.com/neo4j)  
 neo4j-python-driver: Neo4j Bolt driver for Python  
 [https://neo4j.com/docs/api/python-driver/current/](https://neo4j.com/docs/api/python-driver/current/)  
 [https://github.com/neo4j/neo4j-python-driver](https://github.com/neo4j/neo4j-python-driver)  
-1.91 stars per week over 396 weeks  
-757 stars, 167 forks, 99 watches  
-created 2015-05-05, last commit 2022-12-06, main language Python  
+1.9 stars per week over 408 weeks  
+775 stars, 170 forks, 98 watches  
+created 2015-05-05, last commit 2023-02-27, main language Python  
 <sub><sup>binary-protocol, cypher, database-driver, driver, graph-database, neo4j, protocol, python, python3, query-language</sup></sub>
 
 
-### [advertools](https://github.com/eliasdabbas/advertools) by [eliasdabbas](https://github.com/eliasdabbas)  
-advertools - online marketing productivity and analysis tools  
-[https://advertools.readthedocs.io](https://advertools.readthedocs.io)  
-[https://github.com/eliasdabbas/advertools](https://github.com/eliasdabbas/advertools)  
-2.5 stars per week over 290 weeks  
-727 stars, 158 forks, 33 watches  
-created 2017-05-14, last commit 2022-11-25, main language Python  
-<sub><sup>advertising, adwords, digital-marketing, google-ads, keywords, log-analysis, logfile-parser, marketing, online-marketing, python, robots-txt, scrapy, search-engine-marketing, search-engine-optimization, seo, seo-crawler, serp, social-media, twitter-api, youtube</sup></sub>
+### [itsdangerous](https://github.com/pallets/itsdangerous) by [pallets](https://github.com/pallets)  
+itsdangerous: Safely pass trusted data to untrusted environments and back.  
+[https://itsdangerous.palletsprojects.com](https://itsdangerous.palletsprojects.com)  
+[https://github.com/pallets/itsdangerous](https://github.com/pallets/itsdangerous)  
+4.32 stars per week over 610 weeks  
+2,637 stars, 214 forks, 57 watches  
+created 2011-06-24, last commit 2023-03-01, main language Python  
+<sub><sup>hmac, itsdangerous, pallets, python, security, serialization</sup></sub>
+
+
+### [Mephisto](https://github.com/facebookresearch/mephisto) by [facebookresearch](https://github.com/facebookresearch)  
+Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.   
+[https://mephisto.ai/](https://mephisto.ai/)  
+[https://github.com/facebookresearch/mephisto](https://github.com/facebookresearch/mephisto)  
+1.42 stars per week over 184 weeks  
+263 stars, 59 forks, 15 watches  
+created 2019-08-19, last commit 2023-02-18, main language JavaScript  
+
+
+### [cerberus](https://github.com/pyeve/cerberus) by [pyeve](https://github.com/pyeve)  
+cerberus: Lightweight, extensible data validation library for Python  
+[http://python-cerberus.org](http://python-cerberus.org)  
+[https://github.com/pyeve/cerberus](https://github.com/pyeve/cerberus)  
+5.42 stars per week over 542 weeks  
+2,943 stars, 230 forks, 48 watches  
+created 2012-10-10, last commit 2021-05-05, main language Python  
+<sub><sup>data-validation, python</sup></sub>
+
+
+### [simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
+simple-salesforce: A very simple Salesforce.com REST API client for Python  
+[https://github.com/simple-salesforce/simple-salesforce](https://github.com/simple-salesforce/simple-salesforce)  
+2.65 stars per week over 528 weeks  
+1,402 stars, 615 forks, 89 watches  
+created 2013-01-17, last commit 2023-01-18, main language Python  
+<sub><sup>api, api-client, python, salesforce</sup></sub>
+
+
+### [human-learn](https://github.com/koaning/human-learn) by [koaning](https://github.com/koaning)  
+human-learn: Natural Intelligence is still a pretty good idea.  
+[https://koaning.github.io/human-learn/](https://koaning.github.io/human-learn/)  
+[https://github.com/koaning/human-learn](https://github.com/koaning/human-learn)  
+4.94 stars per week over 138 weeks  
+682 stars, 55 forks, 13 watches  
+created 2020-07-11, last commit 2023-02-23, main language Jupyter Notebook  
+<sub><sup>benchmark, machine-learning, scikit-learn</sup></sub>
 
 
 ### [whale](https://github.com/hyperqueryhq/whale) by [hyperqueryhq](https://github.com/hyperqueryhq)  
 whale: 🐳 The stupidly simple CLI workspace for your data warehouse.  
 [https://rsyi.gitbook.io/whale](https://rsyi.gitbook.io/whale)  
 [https://github.com/hyperqueryhq/whale](https://github.com/hyperqueryhq/whale)  
-5.39 stars per week over 132 weeks  
-711 stars, 39 forks, 42 watches  
+4.97 stars per week over 144 weeks  
+718 stars, 38 forks, 41 watches  
 created 2020-05-27, last commit 2022-10-13, main language Python  
 <sub><sup>data-catalog, data-discovery, data-documentation</sup></sub>
 
 
-### [awkward](https://github.com/scikit-hep/awkward-1.0) by [scikit-hep](https://github.com/scikit-hep)  
-awkward: Manipulate JSON-like data with NumPy-like idioms.  
-[https://awkward-array.org](https://awkward-array.org)  
-[https://github.com/scikit-hep/awkward-1.0](https://github.com/scikit-hep/awkward-1.0)  
-3.61 stars per week over 173 weeks  
-625 stars, 63 forks, 17 watches  
-created 2019-08-14, last commit 2022-12-06, main language Python  
-<sub><sup>apache-arrow, cern-root, columnar-format, data-analysis, jagged-array, json, numba, numpy, pandas, python, ragged-array, scikit-hep</sup></sub>
+### [advertools](https://github.com/eliasdabbas/advertools) by [eliasdabbas](https://github.com/eliasdabbas)  
+advertools - online marketing productivity and analysis tools  
+[https://advertools.readthedocs.io](https://advertools.readthedocs.io)  
+[https://github.com/eliasdabbas/advertools](https://github.com/eliasdabbas/advertools)  
+2.56 stars per week over 303 weeks  
+776 stars, 164 forks, 33 watches  
+created 2017-05-14, last commit 2022-12-13, main language Python  
+<sub><sup>advertising, adwords, digital-marketing, google-ads, keywords, log-analysis, logfile-parser, marketing, online-marketing, python, robots-txt, scrapy, search-engine-marketing, search-engine-optimization, seo, seo-crawler, serp, social-media, twitter-api, youtube</sup></sub>
 
 
-### [fastparquet](https://github.com/dask/fastparquet) by [dask](https://github.com/dask)  
-fastparquet: python implementation of the parquet columnar file format.  
-[https://github.com/dask/fastparquet](https://github.com/dask/fastparquet)  
-1.69 stars per week over 369 weeks  
-623 stars, 161 forks, 18 watches  
-created 2015-11-06, last commit 2022-12-05, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [JoJoGAN](https://github.com/mchong6/jojogan) by [mchong6](https://github.com/mchong6)  
+Official PyTorch repo for JoJoGAN: One Shot Face Stylization  
+[https://github.com/mchong6/jojogan](https://github.com/mchong6/jojogan)  
+20 stars per week over 63 weeks  
+1,303 stars, 196 forks, 25 watches  
+created 2021-12-17, last commit 2022-02-05, main language Jupyter Notebook  
+<sub><sup>anime, gans, image-translation</sup></sub>
 
 
-### [human-learn](https://github.com/koaning/human-learn) by [koaning](https://github.com/koaning)  
-human-learn: Natural Intelligence is still a pretty good idea.  
-[https://koaning.github.io/human-learn/](https://koaning.github.io/human-learn/)  
-[https://github.com/koaning/human-learn](https://github.com/koaning/human-learn)  
-4.87 stars per week over 125 weeks  
-612 stars, 51 forks, 13 watches  
-created 2020-07-11, last commit 2021-10-05, main language Jupyter Notebook  
-<sub><sup>benchmark, machine-learning, scikit-learn</sup></sub>
+### [python-driver](https://github.com/scylladb/python-driver) by [scylladb](https://github.com/scylladb)  
+python-driver: ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra  
+[https://python-driver.docs.scylladb.com](https://python-driver.docs.scylladb.com)  
+[https://github.com/scylladb/python-driver](https://github.com/scylladb/python-driver)  
+0.17 stars per week over 223 weeks  
+38 stars, 27 forks, 6 watches  
+created 2018-11-20, last commit 2023-02-15, main language Python  
+<sub><sup>python, scylladb</sup></sub>
+
+
+### [flashtext](https://github.com/vi3k6i5/flashtext) by [vi3k6i5](https://github.com/vi3k6i5)  
+flashtext: Extract Keywords from sentence or Replace keywords in sentences.  
+[https://github.com/vi3k6i5/flashtext](https://github.com/vi3k6i5/flashtext)  
+18 stars per week over 289 weeks  
+5,362 stars, 599 forks, 139 watches  
+created 2017-08-15, last commit 2020-05-03, main language Python  
+<sub><sup>data-extraction, keyword-extraction, nlp, search-in-text, word2vec</sup></sub>
+
+
+### [weather-tools](https://github.com/google/weather-tools) by [google](https://github.com/google)  
+weather-tools: Apache Beam pipelines to make weather data accessible and useful.  
+[https://weather-tools.readthedocs.io/](https://weather-tools.readthedocs.io/)  
+[https://github.com/google/weather-tools](https://github.com/google/weather-tools)  
+1.9 stars per week over 66 weeks  
+127 stars, 27 forks, 15 watches  
+created 2021-11-22, last commit 2023-02-22, main language Python  
+<sub><sup>apache-beam, python, weather</sup></sub>
+
+
+### [orator](https://github.com/sdispater/orator) by [sdispater](https://github.com/sdispater)  
+orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.  
+[https://orator-orm.com](https://orator-orm.com)  
+[https://github.com/sdispater/orator](https://github.com/sdispater/orator)  
+3.42 stars per week over 406 weeks  
+1,387 stars, 164 forks, 46 watches  
+created 2015-05-24, last commit 2022-03-13, main language Python  
+<sub><sup>database, orm, python</sup></sub>
 
 
 ### [sql-metadata](https://github.com/macbre/sql-metadata) by [macbre](https://github.com/macbre)  
 sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata  
 [https://pypi.python.org/pypi/sql-metadata](https://pypi.python.org/pypi/sql-metadata)  
 [https://github.com/macbre/sql-metadata](https://github.com/macbre/sql-metadata)  
-1.63 stars per week over 287 weeks  
-468 stars, 84 forks, 15 watches  
-created 2017-06-06, last commit 2022-11-03, main language Python  
+1.7 stars per week over 299 weeks  
+510 stars, 87 forks, 15 watches  
+created 2017-06-06, last commit 2023-02-16, main language Python  
 <sub><sup>database, hive, hiveql, metadata, mysql-query, parser, python-package, python3-library, sql, sql-parser, sqlparse</sup></sub>
 
 
-### [psaw](https://github.com/dmarx/psaw) by [dmarx](https://github.com/dmarx)  
-psaw: Python Pushshift.io API Wrapper (for comment/submission search)  
-[https://github.com/dmarx/psaw](https://github.com/dmarx/psaw)  
-1.37 stars per week over 242 weeks  
-331 stars, 45 forks, 9 watches  
-created 2018-04-15, last commit 2022-07-09, main language Python  
+### [Wikipedia](https://github.com/goldsmith/wikipedia) by [goldsmith](https://github.com/goldsmith)  
+Wikipedia: A Pythonic wrapper for the Wikipedia API  
+[https://wikipedia.readthedocs.org/](https://wikipedia.readthedocs.org/)  
+[https://github.com/goldsmith/wikipedia](https://github.com/goldsmith/wikipedia)  
+5.17 stars per week over 497 weeks  
+2,571 stars, 521 forks, 82 watches  
+created 2013-08-20, last commit 2020-10-09, main language Python  
 
 
-### [Mephisto](https://github.com/facebookresearch/mephisto) by [facebookresearch](https://github.com/facebookresearch)  
-Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.   
-[https://mephisto.ai/](https://mephisto.ai/)  
-[https://github.com/facebookresearch/mephisto](https://github.com/facebookresearch/mephisto)  
-1.49 stars per week over 172 weeks  
-257 stars, 58 forks, 14 watches  
-created 2019-08-19, last commit 2022-12-02, main language JavaScript  
+### [fiber](https://github.com/uber/fiber) by [uber](https://github.com/uber)  
+fiber: Distributed Computing for AI Made Simple  
+[https://uber.github.io/fiber/](https://uber.github.io/fiber/)  
+[https://github.com/uber/fiber](https://github.com/uber/fiber)  
+6.1 stars per week over 164 weeks  
+1,004 stars, 113 forks, 22 watches  
+created 2020-01-07, last commit 2021-03-15, main language Python  
+<sub><sup>distributed-computing, machine-learning, multiprocessing, python, sandbox</sup></sub>
 
 
-### [sota-extractor](https://github.com/paperswithcode/sota-extractor) by [paperswithcode](https://github.com/paperswithcode)  
-sota-extractor: The SOTA extractor pipeline  
-[https://github.com/paperswithcode/sota-extractor](https://github.com/paperswithcode/sota-extractor)  
-1.2 stars per week over 208 weeks  
-251 stars, 27 forks, 13 watches  
-created 2018-12-07, last commit 2022-03-09, main language Python  
+### [ion-python](https://github.com/amzn/ion-python) by [amzn](https://github.com/amzn)  
+ion-python: A Python implementation of Amazon Ion.  
+[https://amazon-ion.github.io/ion-docs/](https://amazon-ion.github.io/ion-docs/)  
+[https://github.com/amzn/ion-python](https://github.com/amzn/ion-python)  
+0.62 stars per week over 360 weeks  
+223 stars, 49 forks, 25 watches  
+created 2016-04-07, last commit 2023-02-14, main language Python  
 
 
-### [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader) by [ndrplz](https://github.com/ndrplz)  
-google-drive-downloader: Minimal class to download shared files from Google Drive.  
-[https://github.com/ndrplz/google-drive-downloader](https://github.com/ndrplz/google-drive-downloader)  
-0.96 stars per week over 260 weeks  
-249 stars, 63 forks, 11 watches  
-created 2017-12-08, last commit 2019-02-09, main language Python  
+### [psaw](https://github.com/dmarx/psaw) by [dmarx](https://github.com/dmarx)  
+psaw: Python Pushshift.io API Wrapper (for comment/submission search)  
+[https://github.com/dmarx/psaw](https://github.com/dmarx/psaw)  
+1.35 stars per week over 255 weeks  
+343 stars, 55 forks, 9 watches  
+created 2018-04-15, last commit 2022-07-09, main language Python  
+
+
+### [parquet-tools](https://github.com/ktrueda/parquet-tools) by [ktrueda](https://github.com/ktrueda)  
+parquet-tools: easy install parquet-tools  
+[https://github.com/ktrueda/parquet-tools](https://github.com/ktrueda/parquet-tools)  
+0.65 stars per week over 148 weeks  
+97 stars, 13 forks, 3 watches  
+created 2020-05-02, last commit 2023-01-18, main language Python  
+<sub><sup>cli, parquet, parquet-tools</sup></sub>
 
 
 ### [omniduct](https://github.com/airbnb/omniduct) by [airbnb](https://github.com/airbnb)  
 omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).  
 [https://github.com/airbnb/omniduct](https://github.com/airbnb/omniduct)  
-0.78 stars per week over 302 weeks  
-237 stars, 47 forks, 30 watches  
+0.77 stars per week over 314 weeks  
+243 stars, 49 forks, 30 watches  
 created 2017-02-22, last commit 2022-05-09, main language Python  
 
 
-### [data-lineage](https://github.com/tokern/data-lineage) by [tokern](https://github.com/tokern)  
-data-lineage: Generate and Visualize Data Lineage from query history  
-[https://tokern.io/data-lineage/](https://tokern.io/data-lineage/)  
-[https://github.com/tokern/data-lineage](https://github.com/tokern/data-lineage)  
-1.63 stars per week over 142 weeks  
-231 stars, 27 forks, 8 watches  
-created 2020-03-17, last commit 2022-05-02, main language Python  
-<sub><sup>data-governance, data-lineage, jupyter, postgresql, python</sup></sub>
+### [ged2dot](https://github.com/vmiklos/ged2dot) by [vmiklos](https://github.com/vmiklos)  
+ged2dot: GEDCOM to Graphviz converter  
+[https://vmiklos.hu/ged2dot/](https://vmiklos.hu/ged2dot/)  
+[https://github.com/vmiklos/ged2dot](https://github.com/vmiklos/ged2dot)  
+0.18 stars per week over 487 weeks  
+87 stars, 17 forks, 6 watches  
+created 2013-11-01, last commit 2023-02-26, main language Python  
+<sub><sup>dot, gedcom, libreoffice, python</sup></sub>
 
 
 ### [genalog](https://github.com/microsoft/genalog) by [microsoft](https://github.com/microsoft)  
 Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.  
 [https://microsoft.github.io/genalog/](https://microsoft.github.io/genalog/)  
 [https://github.com/microsoft/genalog](https://github.com/microsoft/genalog)  
-1.79 stars per week over 129 weeks  
-231 stars, 23 forks, 10 watches  
-created 2020-06-15, last commit 2022-09-13, main language Jupyter Notebook  
+1.72 stars per week over 141 weeks  
+244 stars, 24 forks, 10 watches  
+created 2020-06-15, last commit 2023-02-14, main language Jupyter Notebook  
 <sub><sup>data-generation, data-science, machine-learning, ner, ocr-recognition, python, synthetic-data, synthetic-data-generation, synthetic-images, text-alignment</sup></sub>
 
 
+### [SubredditMediaDownloader](https://github.com/psycoguana/subredditmediadownloader) by [psycoguana](https://github.com/psycoguana)  
+SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎  
+[https://github.com/psycoguana/subredditmediadownloader](https://github.com/psycoguana/subredditmediadownloader)  
+2.06 stars per week over 54 weeks  
+112 stars, 8 forks, 3 watches  
+created 2022-02-18, last commit 2023-01-17, main language Python  
+
+
 ### [opendatasets](https://github.com/jovianml/opendatasets) by [jovianml](https://github.com/jovianml)  
 opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.  
 [https://github.com/jovianml/opendatasets](https://github.com/jovianml/opendatasets)  
-1.99 stars per week over 115 weeks  
-230 stars, 110 forks, 14 watches  
+1.96 stars per week over 128 weeks  
+252 stars, 123 forks, 13 watches  
 created 2020-09-17, last commit 2022-11-01, main language Python  
 <sub><sup>data-science, datasets, machine-learning, python</sup></sub>
 
 
-### [ion-python](https://github.com/amzn/ion-python) by [amzn](https://github.com/amzn)  
-ion-python: A Python implementation of Amazon Ion.  
-[http://amzn.github.io/ion-docs/](http://amzn.github.io/ion-docs/)  
-[https://github.com/amzn/ion-python](https://github.com/amzn/ion-python)  
-0.61 stars per week over 347 weeks  
-213 stars, 49 forks, 23 watches  
-created 2016-04-07, last commit 2022-08-19, main language Python  
+### [sota-extractor](https://github.com/paperswithcode/sota-extractor) by [paperswithcode](https://github.com/paperswithcode)  
+sota-extractor: The SOTA extractor pipeline  
+[https://github.com/paperswithcode/sota-extractor](https://github.com/paperswithcode/sota-extractor)  
+1.14 stars per week over 221 weeks  
+253 stars, 28 forks, 13 watches  
+created 2018-12-07, last commit 2022-03-09, main language Python  
 
 
-### [weather-tools](https://github.com/google/weather-tools) by [google](https://github.com/google)  
-weather-tools: Apache Beam pipelines to make weather data accessible and useful.  
-[https://weather-tools.readthedocs.io/](https://weather-tools.readthedocs.io/)  
-[https://github.com/google/weather-tools](https://github.com/google/weather-tools)  
-1.99 stars per week over 54 weeks  
-108 stars, 23 forks, 12 watches  
-created 2021-11-22, last commit 2022-12-06, main language Python  
-<sub><sup>apache-beam, python, weather</sup></sub>
+### [data-lineage](https://github.com/tokern/data-lineage) by [tokern](https://github.com/tokern)  
+data-lineage: Generate and Visualize Data Lineage from query history  
+[https://tokern.io/data-lineage/](https://tokern.io/data-lineage/)  
+[https://github.com/tokern/data-lineage](https://github.com/tokern/data-lineage)  
+1.58 stars per week over 154 weeks  
+244 stars, 28 forks, 8 watches  
+created 2020-03-17, last commit 2022-05-02, main language Python  
+<sub><sup>data-governance, data-lineage, jupyter, postgresql, python</sup></sub>
 
 
-### [SubredditMediaDownloader](https://github.com/psycoguana/subredditmediadownloader) by [psycoguana](https://github.com/psycoguana)  
-SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎  
-[https://github.com/psycoguana/subredditmediadownloader](https://github.com/psycoguana/subredditmediadownloader)  
-2.45 stars per week over 41 weeks  
-102 stars, 6 forks, 3 watches  
-created 2022-02-18, last commit 2022-11-20, main language Python  
+### [python-gedcom](https://github.com/nickreynke/python-gedcom) by [nickreynke](https://github.com/nickreynke)  
+python-gedcom: Python module for parsing, analyzing, and manipulating GEDCOM files  
+[https://nickreynke.github.io/python-gedcom/gedcom/index.html](https://nickreynke.github.io/python-gedcom/gedcom/index.html)  
+[https://github.com/nickreynke/python-gedcom](https://github.com/nickreynke/python-gedcom)  
+0.45 stars per week over 268 weeks  
+122 stars, 31 forks, 16 watches  
+created 2018-01-09, last commit 2021-06-03, main language Python  
+<sub><sup>gedcom, gedcom-parser, parser, python</sup></sub>
 
 
-### [parquet-tools](https://github.com/ktrueda/parquet-tools) by [ktrueda](https://github.com/ktrueda)  
-parquet-tools: easy install parquet-tools  
-[https://github.com/ktrueda/parquet-tools](https://github.com/ktrueda/parquet-tools)  
-0.6 stars per week over 135 weeks  
-81 stars, 10 forks, 3 watches  
-created 2020-05-02, last commit 2022-06-14, main language Python  
-<sub><sup>cli, parquet, parquet-tools</sup></sub>
+### [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader) by [ndrplz](https://github.com/ndrplz)  
+google-drive-downloader: Minimal class to download shared files from Google Drive.  
+[https://github.com/ndrplz/google-drive-downloader](https://github.com/ndrplz/google-drive-downloader)  
+0.92 stars per week over 273 weeks  
+252 stars, 62 forks, 11 watches  
+created 2017-12-08, last commit 2019-02-09, main language Python  
 
 
-### [pardata](https://github.com/codait/pardata) by [codait](https://github.com/codait)  
-codait/pardata  
-[https://pardata.readthedocs.io/en/latest/](https://pardata.readthedocs.io/en/latest/)  
-[https://github.com/codait/pardata](https://github.com/codait/pardata)  
-0.17 stars per week over 107 weeks  
-18 stars, 5 forks, 11 watches  
-created 2020-11-17, last commit 2021-12-01, main language Python  
-<sub><sup>artificial-intelligence, data-science, dataset, machine-learning, python</sup></sub>
+### [malloy-py](https://github.com/malloydata/malloy-py) by [malloydata](https://github.com/malloydata)  
+malloy-py: Python package for executing Malloy  
+[https://github.com/malloydata/malloy-py](https://github.com/malloydata/malloy-py)  
+0.17 stars per week over 17 weeks  
+3 stars, 1 forks, 4 watches  
+created 2022-11-02, last commit 2023-01-17, main language Python  
+<sub><sup>business-analytics, business-intelligence, data, data-modeling, python, semantic-modeling, sql</sup></sub>
 
 
 ### [wikinet](https://github.com/harangju/wikinet) by [harangju](https://github.com/harangju)  
 wikinet: Python library for exploring networks of hyperlinked Wikipedia articles  
 [https://github.com/harangju/wikinet](https://github.com/harangju/wikinet)  
-0.06 stars per week over 174 weeks  
+0.05 stars per week over 186 weeks  
 10 stars, 5 forks, 3 watches  
 created 2019-08-05, last commit 2022-01-25, main language Jupyter Notebook  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/debug.md b/categories/debug.md
index 28546b4..0dffd86 100644
--- a/categories/debug.md
+++ b/categories/debug.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 7 curated debug Python libraries and frameworks ordered by stars.  
+A selection of 8 curated debug Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -8,17 +8,17 @@ Checkout the interactive version that you can filter and sort:
 ### [PySnooper](https://github.com/cool-rr/pysnooper) by [cool-rr](https://github.com/cool-rr)  
 PySnooper: Never use print for debugging again  
 [https://github.com/cool-rr/pysnooper](https://github.com/cool-rr/pysnooper)  
-81 stars per week over 189 weeks  
-15,426 stars, 931 forks, 234 watches  
-created 2019-04-18, last commit 2022-04-02, main language Python  
+77 stars per week over 202 weeks  
+15,700 stars, 938 forks, 234 watches  
+created 2019-04-18, last commit 2023-01-03, main language Python  
 <sub><sup>debug, debugger, introspection, logging, python</sup></sub>
 
 
 ### [icecream](https://github.com/gruns/icecream) by [gruns](https://github.com/gruns)  
 icecream: 🍦 Never use print() to debug again.  
 [https://github.com/gruns/icecream](https://github.com/gruns/icecream)  
-25 stars per week over 251 weeks  
-6,449 stars, 134 forks, 50 watches  
+25 stars per week over 263 weeks  
+6,618 stars, 137 forks, 50 watches  
 created 2018-02-13, last commit 2022-12-04, main language Python  
 <sub><sup>debug, debugging, debugging-tool, inspects, library, print, python, python3</sup></sub>
 
@@ -27,27 +27,45 @@ created 2018-02-13, last commit 2022-12-04, main language Python
 pudb: Full-screen console debugger for Python  
 [https://documen.tician.de/pudb/](https://documen.tician.de/pudb/)  
 [https://github.com/inducer/pudb](https://github.com/inducer/pudb)  
-4.22 stars per week over 603 weeks  
-2,547 stars, 216 forks, 45 watches  
-created 2011-05-13, last commit 2022-11-20, main language Python  
+4.22 stars per week over 616 weeks  
+2,601 stars, 217 forks, 47 watches  
+created 2011-05-13, last commit 2023-01-10, main language Python  
 <sub><sup>bpython, debug, debugger, ipython, pdb, pytest, pytest-plugin, python, urwid</sup></sub>
 
 
 ### [ipdb](https://github.com/gotcha/ipdb) by [gotcha](https://github.com/gotcha)  
 ipdb: Integration of IPython pdb  
 [https://github.com/gotcha/ipdb](https://github.com/gotcha/ipdb)  
-2.63 stars per week over 620 weeks  
-1,633 stars, 143 forks, 27 watches  
-created 2011-01-15, last commit 2021-12-30, main language Python  
+2.63 stars per week over 633 weeks  
+1,667 stars, 146 forks, 27 watches  
+created 2011-01-15, last commit 2022-12-13, main language Python  
 <sub><sup>debugger, ipython, python</sup></sub>
 
 
+### [snoop](https://github.com/alexmojaki/snoop) by [alexmojaki](https://github.com/alexmojaki)  
+snoop: A powerful set of Python debugging tools, based on PySnooper  
+[https://github.com/alexmojaki/snoop](https://github.com/alexmojaki/snoop)  
+4.53 stars per week over 198 weeks  
+901 stars, 31 forks, 17 watches  
+created 2019-05-13, last commit 2022-12-22, main language Python  
+<sub><sup>debugger, debugging, debugging-tools, logging, python</sup></sub>
+
+
+### [rebound](https://github.com/shobrook/rebound) by [shobrook](https://github.com/shobrook)  
+rebound: Command-line tool that instantly fetches Stack Overflow results when an exception is thrown  
+[https://github.com/shobrook/rebound](https://github.com/shobrook/rebound)  
+15 stars per week over 261 weeks  
+3,998 stars, 383 forks, 77 watches  
+created 2018-02-28, last commit 2022-02-16, main language Python  
+<sub><sup>command-line-interface, command-line-tool, error-messages, python, stackoverflow, terminal-app</sup></sub>
+
+
 ### [birdseye](https://github.com/alexmojaki/birdseye) by [alexmojaki](https://github.com/alexmojaki)  
 birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions  
 [https://birdseye.readthedocs.io](https://birdseye.readthedocs.io)  
 [https://github.com/alexmojaki/birdseye](https://github.com/alexmojaki/birdseye)  
-5.42 stars per week over 280 weeks  
-1,522 stars, 76 forks, 43 watches  
+5.26 stars per week over 293 weeks  
+1,542 stars, 77 forks, 42 watches  
 created 2017-07-22, last commit 2022-05-18, main language JavaScript  
 <sub><sup>ast, birdseye, debugger, debugging, python, python-debugger</sup></sub>
 
@@ -55,22 +73,13 @@ created 2017-07-22, last commit 2022-05-18, main language JavaScript
 ### [heartrate](https://github.com/alexmojaki/heartrate) by [alexmojaki](https://github.com/alexmojaki)  
 heartrate: Simple real time visualisation of the execution of a Python program.  
 [https://github.com/alexmojaki/heartrate](https://github.com/alexmojaki/heartrate)  
-7.93 stars per week over 189 weeks  
-1,498 stars, 120 forks, 30 watches  
+8.01 stars per week over 201 weeks  
+1,614 stars, 124 forks, 33 watches  
 created 2019-04-24, last commit 2021-11-13, main language Python  
 <sub><sup>debugger, python, visualization</sup></sub>
 
 
-### [snoop](https://github.com/alexmojaki/snoop) by [alexmojaki](https://github.com/alexmojaki)  
-snoop: A powerful set of Python debugging tools, based on PySnooper  
-[https://github.com/alexmojaki/snoop](https://github.com/alexmojaki/snoop)  
-4.55 stars per week over 186 weeks  
-848 stars, 29 forks, 16 watches  
-created 2019-05-13, last commit 2022-12-05, main language Python  
-<sub><sup>debugger, debugging, debugging-tools, logging, python</sup></sub>
-
-
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/diffusion.md b/categories/diffusion.md
index 3b49223..e5f0c2f 100644
--- a/categories/diffusion.md
+++ b/categories/diffusion.md
@@ -1,160 +1,177 @@
 # Crazy Awesome Python
-A selection of 17 curated diffusion Python libraries and frameworks ordered by stars.  
+A selection of 19 curated diffusion Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
-### [stable-diffusion](https://github.com/compvis/stable-diffusion) by [compvis](https://github.com/compvis)  
-stable-diffusion: A latent text-to-image diffusion model  
-[https://ommer-lab.com/research/latent-diffusion-models/](https://ommer-lab.com/research/latent-diffusion-models/)  
-[https://github.com/compvis/stable-diffusion](https://github.com/compvis/stable-diffusion)  
-2148 stars per week over 17 weeks  
-36,523 stars, 5,617 forks, 348 watches  
-created 2022-08-10, last commit 2022-11-16, main language Jupyter Notebook  
-
-
-### [stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui) by [automatic1111](https://github.com/automatic1111)  
-stable-diffusion-webui: Stable Diffusion web UI  
-[https://github.com/automatic1111/stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui)  
-1567 stars per week over 15 weeks  
-23,958 stars, 4,338 forks, 245 watches  
-created 2022-08-22, last commit 2022-12-04, main language Python  
+### [InvokeAI](https://github.com/invoke-ai/invokeai) by [invoke-ai](https://github.com/invoke-ai)  
+InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.  
+[https://invoke-ai.github.io/InvokeAI/](https://invoke-ai.github.io/InvokeAI/)  
+[https://github.com/invoke-ai/invokeai](https://github.com/invoke-ai/invokeai)  
+400 stars per week over 28 weeks  
+11,435 stars, 1,296 forks, 131 watches  
+created 2022-08-17, last commit 2023-03-04, main language Jupyter Notebook  
+<sub><sup>ai-art, artificial-intelligence, generative-art, image-generation, img2img, inpainting, latent-diffusion, linux, macos, outpainting, stable-diffusion, txt2img, windows</sup></sub>
 
 
 ### [diffusers](https://github.com/huggingface/diffusers) by [huggingface](https://github.com/huggingface)  
 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch  
 [https://huggingface.co/docs/diffusers](https://huggingface.co/docs/diffusers)  
 [https://github.com/huggingface/diffusers](https://github.com/huggingface/diffusers)  
-306 stars per week over 27 weeks  
-8,376 stars, 1,378 forks, 92 watches  
-created 2022-05-30, last commit 2022-12-07, main language Python  
+281 stars per week over 39 weeks  
+11,238 stars, 2,215 forks, 119 watches  
+created 2022-05-30, last commit 2023-03-03, main language Python  
 <sub><sup>deep-learning, diffusion, hacktoberfest, image-generation, image2image, pytorch, score-based-generative-modeling, stable-diffusion, text2image</sup></sub>
 
 
-### [InvokeAI](https://github.com/invoke-ai/invokeai) by [invoke-ai](https://github.com/invoke-ai)  
-InvokeAI: This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, and multiple features and other enhancements. For more info, see the website link below.  
-[https://invoke-ai.github.io/InvokeAI/](https://invoke-ai.github.io/InvokeAI/)  
-[https://github.com/invoke-ai/invokeai](https://github.com/invoke-ai/invokeai)  
-465 stars per week over 16 weeks  
-7,444 stars, 843 forks, 82 watches  
-created 2022-08-17, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>ai-art, artificial-intelligence, generative-art, image-generation, img2img, inpainting, latent-diffusion, linux, macos, outpainting, stable-diffusion, txt2img, windows</sup></sub>
+### [stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui) by [automatic1111](https://github.com/automatic1111)  
+stable-diffusion-webui: Stable Diffusion web UI  
+[https://github.com/automatic1111/stable-diffusion-webui](https://github.com/automatic1111/stable-diffusion-webui)  
+1555 stars per week over 27 weeks  
+43,329 stars, 8,008 forks, 402 watches  
+created 2022-08-22, last commit 2023-02-20, main language Python  
+
+
+### [dream-textures](https://github.com/carson-katri/dream-textures) by [carson-katri](https://github.com/carson-katri)  
+dream-textures: Stable Diffusion built-in to Blender  
+[https://github.com/carson-katri/dream-textures](https://github.com/carson-katri/dream-textures)  
+234 stars per week over 25 weeks  
+5,974 stars, 306 forks, 95 watches  
+created 2022-09-08, last commit 2023-02-15, main language Python  
+<sub><sup>ai, blender, blender-addon, image-generation, stable-diffusion</sup></sub>
+
+
+### [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) by [apple](https://github.com/apple)  
+ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon  
+[https://github.com/apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion)  
+367 stars per week over 15 weeks  
+5,723 stars, 273 forks, 70 watches  
+created 2022-11-16, last commit 2023-03-04, main language Python  
 
 
 ### [diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui) by [divamgupta](https://github.com/divamgupta)  
 diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.  
 [https://diffusionbee.com](https://diffusionbee.com)  
 [https://github.com/divamgupta/diffusionbee-stable-diffusion-ui](https://github.com/divamgupta/diffusionbee-stable-diffusion-ui)  
-516 stars per week over 13 weeks  
-6,794 stars, 263 forks, 67 watches  
-created 2022-09-06, last commit 2022-11-23, main language JavaScript  
+323 stars per week over 25 weeks  
+8,308 stars, 330 forks, 77 watches  
+created 2022-09-06, last commit 2023-02-13, main language JavaScript  
 <sub><sup>electron-app, macos, stable-diffusion</sup></sub>
 
 
-### [latent-diffusion](https://github.com/compvis/latent-diffusion) by [compvis](https://github.com/compvis)  
-latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models  
-[https://github.com/compvis/latent-diffusion](https://github.com/compvis/latent-diffusion)  
-106 stars per week over 50 weeks  
-5,350 stars, 690 forks, 70 watches  
-created 2021-12-20, last commit 2022-07-26, main language Jupyter Notebook  
+### [stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos) by [nateraw](https://github.com/nateraw)  
+stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts  
+[https://github.com/nateraw/stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos)  
+84 stars per week over 25 weeks  
+2,183 stars, 214 forks, 28 watches  
+created 2022-09-06, last commit 2023-02-18, main language Python  
+<sub><sup>ai-art, huggingface, huggingface-diffusers, machine-learning, stable-diffusion</sup></sub>
 
 
-### [Dreambooth-Stable-Diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion) by [xavierxiao](https://github.com/xavierxiao)  
-Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion  
-[https://github.com/xavierxiao/dreambooth-stable-diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion)  
-343 stars per week over 13 weeks  
-4,516 stars, 494 forks, 70 watches  
-created 2022-09-06, last commit 2022-09-21, main language Jupyter Notebook  
-<sub><sup>pytorch, pytorch-lightning, stable-diffusion, text-to-image</sup></sub>
+### [stable-diffusion](https://github.com/compvis/stable-diffusion) by [compvis](https://github.com/compvis)  
+stable-diffusion: A latent text-to-image diffusion model  
+[https://ommer-lab.com/research/latent-diffusion-models/](https://ommer-lab.com/research/latent-diffusion-models/)  
+[https://github.com/compvis/stable-diffusion](https://github.com/compvis/stable-diffusion)  
+1496 stars per week over 29 weeks  
+44,263 stars, 6,888 forks, 422 watches  
+created 2022-08-10, last commit 2022-11-16, main language Jupyter Notebook  
 
 
-### [ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) by [apple](https://github.com/apple)  
-ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon  
-[https://github.com/apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion)  
-1241 stars per week over 3 weeks  
-3,725 stars, 128 forks, 46 watches  
-created 2022-11-16, last commit 2022-11-30, main language Python  
+### [stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion) by [ashawkey](https://github.com/ashawkey)  
+stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.  
+[https://github.com/ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  
+183 stars per week over 21 weeks  
+3,937 stars, 346 forks, 83 watches  
+created 2022-10-06, last commit 2023-03-03, main language Python  
+<sub><sup>dreamfusion, gui, nerf, stable-diffusion, text-to-3d</sup></sub>
 
 
-### [dream-textures](https://github.com/carson-katri/dream-textures) by [carson-katri](https://github.com/carson-katri)  
-dream-textures: Stable Diffusion built-in to the Blender shader editor  
-[https://github.com/carson-katri/dream-textures](https://github.com/carson-katri/dream-textures)  
-275 stars per week over 12 weeks  
-3,545 stars, 167 forks, 70 watches  
-created 2022-09-08, last commit 2022-12-06, main language Python  
-<sub><sup>ai, blender, blender-addon, image-generation, stable-diffusion</sup></sub>
+### [stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity) by [lkwq007](https://github.com/lkwq007)  
+stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas  
+[https://github.com/lkwq007/stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity)  
+116 stars per week over 26 weeks  
+3,056 stars, 240 forks, 32 watches  
+created 2022-09-02, last commit 2023-01-24, main language Python  
+<sub><sup>outpainting, stablediffusion</sup></sub>
 
 
 ### [discoart](https://github.com/jina-ai/discoart) by [jina-ai](https://github.com/jina-ai)  
 discoart: 🪩 Create Disco Diffusion artworks in one line  
 [https://github.com/jina-ai/discoart](https://github.com/jina-ai/discoart)  
-149 stars per week over 22 weeks  
-3,407 stars, 203 forks, 32 watches  
+102 stars per week over 35 weeks  
+3,648 stars, 221 forks, 33 watches  
 created 2022-06-30, last commit 2022-08-17, main language Python  
 <sub><sup>clip-guided-diffusion, creative-ai, creative-art, cross-modal, dalle, diffusion, disco-diffusion, discodiffusion, generative-art, imgen, latent-diffusion, midjourney, multimodal, prompts, stable-diffusion</sup></sub>
 
 
-### [stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion) by [ashawkey](https://github.com/ashawkey)  
-stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.  
-[https://github.com/ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  
-364 stars per week over 8 weeks  
-3,229 stars, 264 forks, 74 watches  
-created 2022-10-06, last commit 2022-12-03, main language Python  
-<sub><sup>dreamfusion, gui, nerf, stable-diffusion, text-to-3d</sup></sub>
-
-
-### [glide-text2im](https://github.com/openai/glide-text2im) by [openai](https://github.com/openai)  
-glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model  
-[https://github.com/openai/glide-text2im](https://github.com/openai/glide-text2im)  
-55 stars per week over 51 weeks  
-2,878 stars, 401 forks, 116 watches  
-created 2021-12-10, last commit 2022-03-21, main language Python  
-
-
-### [stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity) by [lkwq007](https://github.com/lkwq007)  
-stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas  
-[https://github.com/lkwq007/stablediffusion-infinity](https://github.com/lkwq007/stablediffusion-infinity)  
-203 stars per week over 13 weeks  
-2,784 stars, 210 forks, 29 watches  
-created 2022-09-02, last commit 2022-12-07, main language Python  
-<sub><sup>outpainting, stablediffusion</sup></sub>
+### [Dreambooth-Stable-Diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion) by [xavierxiao](https://github.com/xavierxiao)  
+Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion  
+[https://github.com/xavierxiao/dreambooth-stable-diffusion](https://github.com/xavierxiao/dreambooth-stable-diffusion)  
+220 stars per week over 25 weeks  
+5,662 stars, 622 forks, 83 watches  
+created 2022-09-06, last commit 2022-09-21, main language Jupyter Notebook  
+<sub><sup>pytorch, pytorch-lightning, stable-diffusion, text-to-image</sup></sub>
 
 
-### [stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos) by [nateraw](https://github.com/nateraw)  
-stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts  
-[https://github.com/nateraw/stable-diffusion-videos](https://github.com/nateraw/stable-diffusion-videos)  
-131 stars per week over 13 weeks  
-1,722 stars, 151 forks, 19 watches  
-created 2022-09-06, last commit 2022-12-05, main language Python  
-<sub><sup>ai-art, huggingface, huggingface-diffusers, machine-learning, stable-diffusion</sup></sub>
+### [latent-diffusion](https://github.com/compvis/latent-diffusion) by [compvis](https://github.com/compvis)  
+latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models  
+[https://github.com/compvis/latent-diffusion](https://github.com/compvis/latent-diffusion)  
+100 stars per week over 62 weeks  
+6,337 stars, 852 forks, 78 watches  
+created 2021-12-20, last commit 2022-07-26, main language Jupyter Notebook  
 
 
 ### [stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow) by [divamgupta](https://github.com/divamgupta)  
 stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras  
 [https://github.com/divamgupta/stable-diffusion-tensorflow](https://github.com/divamgupta/stable-diffusion-tensorflow)  
-107 stars per week over 11 weeks  
-1,276 stars, 167 forks, 19 watches  
+56 stars per week over 24 weeks  
+1,382 stars, 193 forks, 21 watches  
 created 2022-09-15, last commit 2022-11-22, main language Python  
 
 
+### [unprompted](https://github.com/thereforegames/unprompted) by [thereforegames](https://github.com/thereforegames)  
+unprompted: Text generator written for Stable Diffusion workflows.  
+[https://github.com/thereforegames/unprompted](https://github.com/thereforegames/unprompted)  
+16 stars per week over 17 weeks  
+287 stars, 31 forks, 9 watches  
+created 2022-10-31, last commit 2023-02-25, main language Python  
+
+
+### [ultimate-upscale-for-automatic1111](https://github.com/coyote-a/ultimate-upscale-for-automatic1111) by [coyote-a](https://github.com/coyote-a)  
+coyote-a/ultimate-upscale-for-automatic1111  
+[https://github.com/coyote-a/ultimate-upscale-for-automatic1111](https://github.com/coyote-a/ultimate-upscale-for-automatic1111)  
+22 stars per week over 8 weeks  
+201 stars, 15 forks, 4 watches  
+created 2023-01-02, last commit 2023-02-07, main language Python  
+
+
+### [latentblending](https://github.com/lunarring/latentblending) by [lunarring](https://github.com/lunarring)  
+latentblending: Create butter-smooth transitions between prompts, powered by stable diffusion  
+[https://github.com/lunarring/latentblending](https://github.com/lunarring/latentblending)  
+13 stars per week over 15 weeks  
+206 stars, 18 forks, 12 watches  
+created 2022-11-19, last commit 2023-03-02, main language Python  
+<sub><sup>animation, diffusion, stable-diffusion</sup></sub>
+
+
+### [glide-text2im](https://github.com/openai/glide-text2im) by [openai](https://github.com/openai)  
+glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model  
+[https://github.com/openai/glide-text2im](https://github.com/openai/glide-text2im)  
+47 stars per week over 64 weeks  
+3,041 stars, 434 forks, 124 watches  
+created 2021-12-10, last commit 2022-03-21, main language Python  
+
+
 ### [long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion) by [sharonzhou](https://github.com/sharonzhou)  
 long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)  
 [https://github.com/sharonzhou/long_stable_diffusion](https://github.com/sharonzhou/long_stable_diffusion)  
-41 stars per week over 13 weeks  
-553 stars, 43 forks, 13 watches  
+23 stars per week over 26 weeks  
+598 stars, 48 forks, 14 watches  
 created 2022-09-04, last commit 2022-10-30, main language Python  
 
 
-### [unprompted](https://github.com/thereforegames/unprompted) by [thereforegames](https://github.com/thereforegames)  
-unprompted: Text generator written for Stable Diffusion workflows.  
-[https://github.com/thereforegames/unprompted](https://github.com/thereforegames/unprompted)  
-24 stars per week over 5 weeks  
-129 stars, 10 forks, 4 watches  
-created 2022-10-31, last commit 2022-12-07, main language Python  
-
-
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/finance.md b/categories/finance.md
new file mode 100644
index 0000000..265b398
--- /dev/null
+++ b/categories/finance.md
@@ -0,0 +1,345 @@
+# Crazy Awesome Python
+A selection of 36 curated finance Python libraries and frameworks ordered by stars.  
+
+Checkout the interactive version that you can filter and sort: 
+[https://www.awesomepython.org/](https://www.awesomepython.org/)  
+
+
+### [OpenBBTerminal](https://github.com/openbb-finance/openbbterminal) by [openbb-finance](https://github.com/openbb-finance)  
+OpenBBTerminal: Investment Research for Everyone, Anywhere.  
+[https://openbb.co](https://openbb.co)  
+[https://github.com/openbb-finance/openbbterminal](https://github.com/openbb-finance/openbbterminal)  
+168 stars per week over 115 weeks  
+19,426 stars, 2,023 forks, 239 watches  
+created 2020-12-20, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, crypto, cryptocurrency, economics, finance, investment, investment-research, machine-learning, openbb, python, quantitative-finance, stocks</sup></sub>
+
+
+### [qlib](https://github.com/microsoft/qlib) by [microsoft](https://github.com/microsoft)  
+Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of  SOTA Quant research works/papers are released in Qlib.  
+[https://qlib.readthedocs.io/en/latest/](https://qlib.readthedocs.io/en/latest/)  
+[https://github.com/microsoft/qlib](https://github.com/microsoft/qlib)  
+78 stars per week over 133 weeks  
+10,418 stars, 1,861 forks, 250 watches  
+created 2020-08-14, last commit 2023-03-03, main language Python  
+<sub><sup>algorithmic-trading, auto-quant, deep-learning, finance, fintech, investment, machine-learning, paper, platform, python, quant, quant-dataset, quant-models, quantitative-finance, quantitative-trading, research, research-paper, stock-data</sup></sub>
+
+
+### [yfinance](https://github.com/ranaroussi/yfinance) by [ranaroussi](https://github.com/ranaroussi)  
+yfinance: Download market data from Yahoo! Finance's API  
+[https://aroussi.com/post/python-yahoo-finance](https://aroussi.com/post/python-yahoo-finance)  
+[https://github.com/ranaroussi/yfinance](https://github.com/ranaroussi/yfinance)  
+29 stars per week over 302 weeks  
+9,050 stars, 1,832 forks, 220 watches  
+created 2017-05-21, last commit 2023-02-21, main language Python  
+<sub><sup>financial-data, fix-yahoo-finance, market-data, pandas, python, stock-data, yahoo-finance, yahoo-finance-api</sup></sub>
+
+
+### [mplfinance](https://github.com/matplotlib/mplfinance) by [matplotlib](https://github.com/matplotlib)  
+mplfinance: Financial Markets Data Visualization using Matplotlib  
+[https://pypi.org/project/mplfinance/](https://pypi.org/project/mplfinance/)  
+[https://github.com/matplotlib/mplfinance](https://github.com/matplotlib/mplfinance)  
+15 stars per week over 169 weeks  
+2,620 stars, 534 forks, 85 watches  
+created 2019-12-05, last commit 2023-01-26, main language Python  
+<sub><sup>candlestick, candlestick-chart, candlestickchart, finance, hacktoberfest, hacktoberfest2022, hactoberfest, intraday-data, market-data, matplotlib, mplfinance, ohlc, ohlc-chart, ohlc-data, ohlc-plot, ohlcv, trading-days</sup></sub>
+
+
+### [ta-lib-python](https://github.com/ta-lib/ta-lib-python) by [ta-lib](https://github.com/ta-lib)  
+ta-lib-python: Python wrapper for TA-Lib (http://ta-lib.org/).  
+[http://ta-lib.github.io/ta-lib-python](http://ta-lib.github.io/ta-lib-python)  
+[https://github.com/ta-lib/ta-lib-python](https://github.com/ta-lib/ta-lib-python)  
+13 stars per week over 571 weeks  
+7,519 stars, 1,472 forks, 319 watches  
+created 2012-03-23, last commit 2023-02-28, main language Cython  
+<sub><sup>finance, pattern-recognition, python, quantitative-finance, ta-lib, technical-analysis</sup></sub>
+
+
+### [blankly](https://github.com/blankly-finance/blankly) by [blankly-finance](https://github.com/blankly-finance)  
+blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.  
+[https://package.blankly.finance](https://package.blankly.finance)  
+[https://github.com/blankly-finance/blankly](https://github.com/blankly-finance/blankly)  
+14 stars per week over 103 weeks  
+1,474 stars, 194 forks, 28 watches  
+created 2021-03-09, last commit 2023-02-02, main language Python  
+<sub><sup>algotrading, binance, blankly, bot, bot-framework, bots, coinbase, crypto, cryptocurrency, framework, investment, platform, python, stocks, trading, trading-bot, trading-strategies</sup></sub>
+
+
+### [zipline](https://github.com/quantopian/zipline) by [quantopian](https://github.com/quantopian)  
+Zipline, a Pythonic Algorithmic Trading Library  
+[https://www.zipline.io](https://www.zipline.io)  
+[https://github.com/quantopian/zipline](https://github.com/quantopian/zipline)  
+29 stars per week over 541 weeks  
+15,851 stars, 4,541 forks, 1,008 watches  
+created 2012-10-19, last commit 2020-10-14, main language Python  
+<sub><sup>algorithmic-trading, python, quant, zipline</sup></sub>
+
+
+### [tf-quant-finance](https://github.com/google/tf-quant-finance) by [google](https://github.com/google)  
+tf-quant-finance: High-performance TensorFlow library for quantitative finance.  
+[https://github.com/google/tf-quant-finance](https://github.com/google/tf-quant-finance)  
+19 stars per week over 188 weeks  
+3,655 stars, 490 forks, 169 watches  
+created 2019-07-24, last commit 2023-02-17, main language Python  
+<sub><sup>finance, gpu, gpu-computing, high-performance, high-performance-computing, numerical-integration, numerical-methods, numerical-optimization, python, quantitative-finance, quantlib, tensorflow</sup></sub>
+
+
+### [backtesting.py](https://github.com/kernc/backtesting.py) by [kernc](https://github.com/kernc)  
+backtesting.py: :mag_right: :chart_with_upwards_trend: :snake: :moneybag:  Backtest trading strategies in Python.  
+[https://kernc.github.io/backtesting.py/](https://kernc.github.io/backtesting.py/)  
+[https://github.com/kernc/backtesting.py](https://github.com/kernc/backtesting.py)  
+15 stars per week over 217 weeks  
+3,336 stars, 665 forks, 94 watches  
+created 2019-01-02, last commit 2023-01-15, main language Python  
+<sub><sup>algo-trading, algorithmic-trading, backtesting, backtesting-engine, backtesting-frameworks, backtesting-trading-strategies, finance, financial-markets, forex, forex-trading, framework, hacktoberfest, investing, investment, investment-strategies, stocks, trading, trading-algorithms, trading-simulator, trading-strategies</sup></sub>
+
+
+### [quantstats](https://github.com/ranaroussi/quantstats) by [ranaroussi](https://github.com/ranaroussi)  
+quantstats: Portfolio analytics for quants, written in Python  
+[https://github.com/ranaroussi/quantstats](https://github.com/ranaroussi/quantstats)  
+14 stars per week over 200 weeks  
+2,862 stars, 570 forks, 86 watches  
+created 2019-05-01, last commit 2022-07-05, main language Python  
+<sub><sup>algo-trading, algorithmic-trading, algotrading, finance, plotting, python, quant, quantitative-analysis, quantitative-finance, quantitative-trading, visualization</sup></sub>
+
+
+### [pysystemtrade](https://github.com/robcarver17/pysystemtrade) by [robcarver17](https://github.com/robcarver17)  
+pysystemtrade: Systematic Trading in python  
+[https://github.com/robcarver17/pysystemtrade](https://github.com/robcarver17/pysystemtrade)  
+5.02 stars per week over 379 weeks  
+1,904 stars, 637 forks, 156 watches  
+created 2015-11-27, last commit 2023-03-03, main language Python  
+
+
+### [vectorbt](https://github.com/polakowo/vectorbt) by [polakowo](https://github.com/polakowo)  
+vectorbt: Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.   
+[https://vectorbt.dev](https://vectorbt.dev)  
+[https://github.com/polakowo/vectorbt](https://github.com/polakowo/vectorbt)  
+9.48 stars per week over 276 weeks  
+2,624 stars, 453 forks, 97 watches  
+created 2017-11-14, last commit 2023-02-27, main language Python  
+<sub><sup>algorithmic-trading, algorithmic-traiding, backtesting, cryptocurrency, data-science, data-visualization, finance, machine-learning, portfolio-optimization, quantitative-analysis, quantitative-finance, time-series, trading, trading-strategies</sup></sub>
+
+
+### [FinancePy](https://github.com/domokane/financepy) by [domokane](https://github.com/domokane)  
+FinancePy: A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.   
+[https://financepy.com/](https://financepy.com/)  
+[https://github.com/domokane/financepy](https://github.com/domokane/financepy)  
+7.34 stars per week over 175 weeks  
+1,285 stars, 196 forks, 49 watches  
+created 2019-10-27, last commit 2023-02-26, main language Jupyter Notebook  
+<sub><sup>asset-allocation, bonds, credit, currency, derivatives, derivatives-pricing, finance, fixed-income, investment, numba, pricing, python, risk, risk-management, students, valuation</sup></sub>
+
+
+### [backtrader](https://github.com/mementum/backtrader) by [mementum](https://github.com/mementum)  
+backtrader: Python Backtesting library for trading strategies  
+[https://www.backtrader.com](https://www.backtrader.com)  
+[https://github.com/mementum/backtrader](https://github.com/mementum/backtrader)  
+23 stars per week over 425 weeks  
+10,145 stars, 3,152 forks, 579 watches  
+created 2015-01-10, last commit 2021-07-17, main language Python  
+<sub><sup>backtesting, metaclass, python, trading</sup></sub>
+
+
+### [gs-quant](https://github.com/goldmansachs/gs-quant) by [goldmansachs](https://github.com/goldmansachs)  
+gs-quant: Python toolkit for quantitative finance  
+[https://developer.gs.com/discover/products/gs-quant/](https://developer.gs.com/discover/products/gs-quant/)  
+[https://github.com/goldmansachs/gs-quant](https://github.com/goldmansachs/gs-quant)  
+7.62 stars per week over 220 weeks  
+1,678 stars, 340 forks, 75 watches  
+created 2018-12-14, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>derivatives, goldman-sachs, gs-quant, risk-management, trading-strategies</sup></sub>
+
+
+### [algo-trader](https://github.com/idanya/algo-trader) by [idanya](https://github.com/idanya)  
+algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.  
+[https://github.com/idanya/algo-trader](https://github.com/idanya/algo-trader)  
+8.28 stars per week over 76 weeks  
+635 stars, 67 forks, 22 watches  
+created 2021-09-14, last commit 2023-03-02, main language Python  
+<sub><sup>algorithmic-trading, backtesting, crypto-bot, python, technical-analysis, trading-bot, trading-strategies</sup></sub>
+
+
+### [pyfolio](https://github.com/quantopian/pyfolio) by [quantopian](https://github.com/quantopian)  
+pyfolio: Portfolio and risk analytics in Python  
+[https://quantopian.github.io/pyfolio](https://quantopian.github.io/pyfolio)  
+[https://github.com/quantopian/pyfolio](https://github.com/quantopian/pyfolio)  
+11 stars per week over 404 weeks  
+4,845 stars, 1,553 forks, 306 watches  
+created 2015-06-01, last commit 2020-07-15, main language Jupyter Notebook  
+
+
+### [finmarketpy](https://github.com/cuemacro/finmarketpy) by [cuemacro](https://github.com/cuemacro)  
+finmarketpy: Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)  
+[http://www.cuemacro.com](http://www.cuemacro.com)  
+[https://github.com/cuemacro/finmarketpy](https://github.com/cuemacro/finmarketpy)  
+7.31 stars per week over 419 weeks  
+3,065 stars, 482 forks, 217 watches  
+created 2015-02-19, last commit 2022-12-20, main language Python  
+<sub><sup>backtesting-trading-strategies, python, trading-strategies</sup></sub>
+
+
+### [exchange_calendars](https://github.com/gerrymanoim/exchange_calendars) by [gerrymanoim](https://github.com/gerrymanoim)  
+exchange_calendars: Calendars for various securities exchanges.  
+[https://github.com/gerrymanoim/exchange_calendars](https://github.com/gerrymanoim/exchange_calendars)  
+1.92 stars per week over 122 weeks  
+235 stars, 78 forks, 14 watches  
+created 2020-10-30, last commit 2023-02-14, main language Python  
+
+
+### [pyalgotrade](https://github.com/gbeced/pyalgotrade) by [gbeced](https://github.com/gbeced)  
+pyalgotrade: Python Algorithmic Trading Library  
+[http://gbeced.github.io/pyalgotrade/](http://gbeced.github.io/pyalgotrade/)  
+[https://github.com/gbeced/pyalgotrade](https://github.com/gbeced/pyalgotrade)  
+6.83 stars per week over 573 weeks  
+3,915 stars, 1,333 forks, 353 watches  
+created 2012-03-07, last commit 2023-03-05, main language Python  
+
+
+### [ffn](https://github.com/pmorissette/ffn) by [pmorissette](https://github.com/pmorissette)  
+ffn - a financial function library for Python  
+[pmorissette.github.io/ffn](pmorissette.github.io/ffn)  
+[https://github.com/pmorissette/ffn](https://github.com/pmorissette/ffn)  
+3.17 stars per week over 454 weeks  
+1,441 stars, 254 forks, 59 watches  
+created 2014-06-19, last commit 2022-12-21, main language Python  
+
+
+### [QuantLib-SWIG](https://github.com/lballabio/quantlib-swig) by [lballabio](https://github.com/lballabio)  
+QuantLib-SWIG: QuantLib wrappers to other languages  
+[https://github.com/lballabio/quantlib-swig](https://github.com/lballabio/quantlib-swig)  
+0.73 stars per week over 376 weeks  
+275 stars, 262 forks, 38 watches  
+created 2015-12-17, last commit 2023-01-30, main language SWIG  
+<sub><sup>quantitative-finance</sup></sub>
+
+
+### [alphalens](https://github.com/quantopian/alphalens) by [quantopian](https://github.com/quantopian)  
+alphalens: Performance analysis of predictive (alpha) stock factors  
+[http://quantopian.github.io/alphalens](http://quantopian.github.io/alphalens)  
+[https://github.com/quantopian/alphalens](https://github.com/quantopian/alphalens)  
+7.28 stars per week over 352 weeks  
+2,565 stars, 982 forks, 163 watches  
+created 2016-06-03, last commit 2020-04-27, main language Jupyter Notebook  
+<sub><sup>algorithmic-trading, finance, jupyter, numpy, pandas, python</sup></sub>
+
+
+### [bt](https://github.com/pmorissette/bt) by [pmorissette](https://github.com/pmorissette)  
+bt - flexible backtesting for Python  
+[http://pmorissette.github.io/bt](http://pmorissette.github.io/bt)  
+[https://github.com/pmorissette/bt](https://github.com/pmorissette/bt)  
+3.51 stars per week over 454 weeks  
+1,593 stars, 357 forks, 79 watches  
+created 2014-06-19, last commit 2022-11-22, main language Python  
+
+
+### [pandas_market_calendars](https://github.com/rsheftel/pandas_market_calendars) by [rsheftel](https://github.com/rsheftel)  
+pandas_market_calendars: Exchange calendars to use with pandas for trading applications  
+[https://github.com/rsheftel/pandas_market_calendars](https://github.com/rsheftel/pandas_market_calendars)  
+1.74 stars per week over 325 weeks  
+568 stars, 124 forks, 30 watches  
+created 2016-12-07, last commit 2023-02-04, main language Python  
+<sub><sup>calendar, date, datetime, exchange, pandas</sup></sub>
+
+
+### [research_public](https://github.com/quantopian/research_public) by [quantopian](https://github.com/quantopian)  
+research_public: Quantitative research and educational materials  
+[https://www.quantopian.com/lectures](https://www.quantopian.com/lectures)  
+[https://github.com/quantopian/research_public](https://github.com/quantopian/research_public)  
+4.95 stars per week over 418 weeks  
+2,071 stars, 1,451 forks, 201 watches  
+created 2015-02-26, last commit 2020-10-30, main language Jupyter Notebook  
+
+
+### [data-link-python](https://github.com/nasdaq/data-link-python) by [nasdaq](https://github.com/nasdaq)  
+data-link-python: A Python library for Nasdaq Data Link's RESTful API  
+[https://github.com/nasdaq/data-link-python](https://github.com/nasdaq/data-link-python)  
+3.0 stars per week over 69 weeks  
+209 stars, 39 forks, 9 watches  
+created 2021-11-02, last commit 2022-08-29, main language Python  
+
+
+### [stockpredictionai](https://github.com/borisbanushev/stockpredictionai) by [borisbanushev](https://github.com/borisbanushev)  
+stockpredictionai:        In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.  
+[https://github.com/borisbanushev/stockpredictionai](https://github.com/borisbanushev/stockpredictionai)  
+16 stars per week over 216 weeks  
+3,597 stars, 1,588 forks, 262 watches  
+created 2019-01-09, last commit 2019-02-11, main language None  
+
+
+### [pyql](https://github.com/enthought/pyql) by [enthought](https://github.com/enthought)  
+pyql: Cython QuantLib wrappers  
+[https://github.com/enthought/pyql](https://github.com/enthought/pyql)  
+1.33 stars per week over 573 weeks  
+761 stars, 176 forks, 105 watches  
+created 2012-03-08, last commit 2023-03-04, main language Cython  
+<sub><sup>cython, quantlib</sup></sub>
+
+
+### [empyrical](https://github.com/quantopian/empyrical) by [quantopian](https://github.com/quantopian)  
+empyrical: Common financial risk and performance metrics. Used by zipline and pyfolio.  
+[https://quantopian.github.io/empyrical](https://quantopian.github.io/empyrical)  
+[https://github.com/quantopian/empyrical](https://github.com/quantopian/empyrical)  
+2.85 stars per week over 363 weeks  
+1,034 stars, 339 forks, 72 watches  
+created 2016-03-18, last commit 2020-10-14, main language Python  
+
+
+### [findatapy](https://github.com/cuemacro/findatapy) by [cuemacro](https://github.com/cuemacro)  
+findatapy: Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.  
+[https://github.com/cuemacro/findatapy](https://github.com/cuemacro/findatapy)  
+3.78 stars per week over 343 weeks  
+1,297 stars, 183 forks, 91 watches  
+created 2016-08-03, last commit 2022-08-24, main language Python  
+<sub><sup>arctic, bloomberg, dukascopy, eikon, fred, market-data, python-api, quandl</sup></sub>
+
+
+### [basana](https://github.com/gbeced/basana) by [gbeced](https://github.com/gbeced)  
+basana: A Python event driven framework for algorithmic trading, with a focus on crypto currencies.  
+[https://github.com/gbeced/basana](https://github.com/gbeced/basana)  
+14 stars per week over 0 weeks  
+2 stars, 0 forks, 1 watches  
+created 2023-03-04, last commit 2023-03-05, main language Python  
+
+
+### [quandl-python](https://github.com/quandl/quandl-python) by [quandl](https://github.com/quandl)  
+quandl/quandl-python  
+[https://github.com/quandl/quandl-python](https://github.com/quandl/quandl-python)  
+2.49 stars per week over 519 weeks  
+1,291 stars, 342 forks, 129 watches  
+created 2013-03-24, last commit 2021-12-08, main language Python  
+<sub><sup>api-client, data-frame, dataset, python, quandl, retrieve-data</sup></sub>
+
+
+### [fmpsdk](https://github.com/daxm/fmpsdk) by [daxm](https://github.com/daxm)  
+fmpsdk: SDK for Financial Modeling Prep's (FMP) API  
+[https://github.com/daxm/fmpsdk](https://github.com/daxm/fmpsdk)  
+0.79 stars per week over 117 weeks  
+93 stars, 37 forks, 9 watches  
+created 2020-12-06, last commit 2022-10-12, main language Python  
+
+
+### [bta-lib](https://github.com/mementum/bta-lib) by [mementum](https://github.com/mementum)  
+bta-lib: Technical Analysis library in pandas for backtesting algotrading and quantitative analysis  
+[https://github.com/mementum/bta-lib](https://github.com/mementum/bta-lib)  
+2.49 stars per week over 161 weeks  
+401 stars, 97 forks, 25 watches  
+created 2020-01-31, last commit 2020-03-11, main language Python  
+
+
+### [python-bizdays](https://github.com/wilsonfreitas/python-bizdays) by [wilsonfreitas](https://github.com/wilsonfreitas)  
+python-bizdays: Business days calculations and utilities  
+[http://wilsonfreitas.github.io/python-bizdays/](http://wilsonfreitas.github.io/python-bizdays/)  
+[https://github.com/wilsonfreitas/python-bizdays](https://github.com/wilsonfreitas/python-bizdays)  
+0.12 stars per week over 496 weeks  
+62 stars, 30 forks, 7 watches  
+created 2013-09-01, last commit 2023-01-20, main language Jupyter Notebook  
+
+
+This file was automatically generated on 2023-03-05.  
+
+To curate your own github list, simply clone and change the input csv file.  
+
+Inspired by:  
+[https://github.com/vinta/awesome-python](https://github.com/vinta/awesome-python)  
+[https://github.com/trananhkma/fucking-awesome-python](https://github.com/trananhkma/fucking-awesome-python)  
\ No newline at end of file
diff --git a/categories/gamedev.md b/categories/gamedev.md
index 2a03486..d606fb7 100644
--- a/categories/gamedev.md
+++ b/categories/gamedev.md
@@ -9,43 +9,43 @@ Checkout the interactive version that you can filter and sort:
 pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.  
 [https://www.pygame.org](https://www.pygame.org)  
 [https://github.com/pygame/pygame](https://github.com/pygame/pygame)  
-18 stars per week over 297 weeks  
-5,518 stars, 2,415 forks, 160 watches  
-created 2017-03-26, last commit 2022-12-04, main language C  
+18 stars per week over 310 weeks  
+5,773 stars, 2,540 forks, 156 watches  
+created 2017-03-26, last commit 2023-03-04, main language C  
 <sub><sup>game-dev, game-development, gamedev, pygame, python, sdl, sdl2</sup></sub>
 
 
-### [panda3d](https://github.com/panda3d/panda3d)  
-panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU  
-[https://www.panda3d.org/](https://www.panda3d.org/)  
-[https://github.com/panda3d/panda3d](https://github.com/panda3d/panda3d)  
-7.5 stars per week over 479 weeks  
-3,594 stars, 732 forks, 193 watches  
-created 2013-09-30, last commit 2022-12-06, main language C++  
-<sub><sup>c-plus-plus, cross-platform, game-development, game-engine, gamedev, multi-platform, open-source, opengl, panda3d, panda3d-game-engine, python</sup></sub>
+### [pyglet](https://github.com/pyglet/pyglet)  
+pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.  
+[http://pyglet.org](http://pyglet.org)  
+[https://github.com/pyglet/pyglet](https://github.com/pyglet/pyglet)  
+7.27 stars per week over 195 weeks  
+1,417 stars, 252 forks, 32 watches  
+created 2019-06-09, last commit 2023-03-03, main language Python  
+<sub><sup>gamedev, opengl, pyglet, python, scientific-visualization</sup></sub>
 
 
 ### [arcade](https://github.com/pythonarcade/arcade) by [pythonarcade](https://github.com/pythonarcade)  
 arcade: Easy to use Python library for creating 2D arcade games.  
 [http://arcade.academy](http://arcade.academy)  
 [https://github.com/pythonarcade/arcade](https://github.com/pythonarcade/arcade)  
-3.7 stars per week over 361 weeks  
-1,338 stars, 253 forks, 56 watches  
-created 2016-01-04, last commit 2022-12-04, main language Python  
+3.76 stars per week over 373 weeks  
+1,404 stars, 264 forks, 57 watches  
+created 2016-01-04, last commit 2023-03-04, main language Python  
 <sub><sup>arcade-api, arcade-framework, arcade-learning-environment, educational-resources, educational-technology, opengl, python, python3</sup></sub>
 
 
-### [pyglet](https://github.com/pyglet/pyglet)  
-pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.  
-[http://pyglet.org](http://pyglet.org)  
-[https://github.com/pyglet/pyglet](https://github.com/pyglet/pyglet)  
-7.15 stars per week over 182 weeks  
-1,304 stars, 247 forks, 29 watches  
-created 2019-06-09, last commit 2022-12-04, main language Python  
-<sub><sup>gamedev, opengl, pyglet, python, scientific-visualization</sup></sub>
+### [panda3d](https://github.com/panda3d/panda3d)  
+panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU  
+[https://www.panda3d.org/](https://www.panda3d.org/)  
+[https://github.com/panda3d/panda3d](https://github.com/panda3d/panda3d)  
+7.61 stars per week over 491 weeks  
+3,745 stars, 755 forks, 195 watches  
+created 2013-09-30, last commit 2023-02-26, main language C++  
+<sub><sup>c-plus-plus, cross-platform, game-development, game-engine, gamedev, multi-platform, open-source, opengl, panda3d, panda3d-game-engine, python</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/gis.md b/categories/gis.md
index 4808189..217a40e 100644
--- a/categories/gis.md
+++ b/categories/gis.md
@@ -1,818 +1,864 @@
 # Crazy Awesome Python
-A selection of 87 curated gis Python libraries and frameworks ordered by stars.  
+A selection of 92 curated gis Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
+### [gdal](https://github.com/osgeo/gdal) by [osgeo](https://github.com/osgeo)  
+GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.  
+[https://gdal.org](https://gdal.org)  
+[https://github.com/osgeo/gdal](https://github.com/osgeo/gdal)  
+6.69 stars per week over 542 weeks  
+3,633 stars, 2,021 forks, 163 watches  
+created 2012-10-09, last commit 2023-03-02, main language C++  
+<sub><sup>geospatial-data, raster, remote-sensing, vector</sup></sub>
+
+
+### [torchgeo](https://github.com/microsoft/torchgeo) by [microsoft](https://github.com/microsoft)  
+TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data  
+[https://torchgeo.rtfd.io](https://torchgeo.rtfd.io)  
+[https://github.com/microsoft/torchgeo](https://github.com/microsoft/torchgeo)  
+15 stars per week over 93 weeks  
+1,487 stars, 174 forks, 37 watches  
+created 2021-05-21, last commit 2023-03-03, main language Python  
+<sub><sup>datasets, deep-learning, earth-observation, models, pytorch, remote-sensing, torchvision, transforms</sup></sub>
+
+
+### [geemap](https://github.com/giswqs/geemap) by [giswqs](https://github.com/giswqs)  
+geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.  
+[https://geemap.org](https://geemap.org)  
+[https://github.com/giswqs/geemap](https://github.com/giswqs/geemap)  
+16 stars per week over 156 weeks  
+2,570 stars, 929 forks, 101 watches  
+created 2020-03-08, last commit 2023-02-28, main language Python  
+<sub><sup>colab, data-science, dataviz, earth-engine, earthengine, folium, geospatial, gis, google-earth-engine, image-processing, ipyleaflet, ipywidgets, jupyter, jupyter-notebook, landsat, mapping, python, remote-sensing, streamlit, streamlit-webapp</sup></sub>
+
+
 ### [folium](https://github.com/python-visualization/folium) by [python-visualization](https://github.com/python-visualization)  
 folium: Python Data. Leaflet.js Maps.   
 [https://python-visualization.github.io/folium/](https://python-visualization.github.io/folium/)  
 [https://github.com/python-visualization/folium](https://github.com/python-visualization/folium)  
-12 stars per week over 499 weeks  
-6,008 stars, 2,154 forks, 166 watches  
-created 2013-05-09, last commit 2022-11-30, main language Python  
+11 stars per week over 512 weeks  
+6,115 stars, 2,173 forks, 164 watches  
+created 2013-05-09, last commit 2023-02-17, main language Python  
 <sub><sup>closember, data-science, data-visualization, javascript, maps, python</sup></sub>
 
 
-### [BlenderGIS](https://github.com/domlysz/blendergis) by [domlysz](https://github.com/domlysz)  
-BlenderGIS: Blender addons to make the bridge between Blender and geographic data  
-[https://github.com/domlysz/blendergis](https://github.com/domlysz/blendergis)  
-13 stars per week over 447 weeks  
-5,848 stars, 1,087 forks, 244 watches  
-created 2014-05-08, last commit 2022-05-31, main language Python  
-<sub><sup>3d, 3d-map, 3dgis, addon, basemap, blender, delaunay-triangulation, dem, geodata, georeferencing, geospatial, gis, importexport, map, openstreetmap, python, raster, shapefile, terrain-model</sup></sub>
+### [shapely](https://github.com/shapely/shapely)  
+shapely: Manipulation and analysis of geometric objects  
+[https://shapely.readthedocs.io/en/stable/](https://shapely.readthedocs.io/en/stable/)  
+[https://github.com/shapely/shapely](https://github.com/shapely/shapely)  
+5.46 stars per week over 583 weeks  
+3,185 stars, 514 forks, 86 watches  
+created 2011-12-31, last commit 2023-02-27, main language Python  
 
 
 ### [osmnx](https://github.com/gboeing/osmnx) by [gboeing](https://github.com/gboeing)  
 OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.  
 [https://geoffboeing.com/publications/osmnx-complex-street-networks/](https://geoffboeing.com/publications/osmnx-complex-street-networks/)  
 [https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
-11 stars per week over 332 weeks  
-3,948 stars, 731 forks, 123 watches  
-created 2016-07-24, last commit 2022-11-28, main language Python  
+11 stars per week over 345 weeks  
+4,070 stars, 746 forks, 121 watches  
+created 2016-07-24, last commit 2023-02-22, main language Python  
 <sub><sup>geography, geospatial, gis, mapping, networks, networkx, openstreetmap, osm, osmnx, overpass-api, python, routing, spatial, spatial-analysis, spatial-data, street-networks, transport, transportation, urban, urban-planning</sup></sub>
 
 
-### [gdal](https://github.com/osgeo/gdal) by [osgeo](https://github.com/osgeo)  
-GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.  
-[https://gdal.org](https://gdal.org)  
-[https://github.com/osgeo/gdal](https://github.com/osgeo/gdal)  
-6.57 stars per week over 530 weeks  
-3,482 stars, 1,946 forks, 170 watches  
-created 2012-10-09, last commit 2022-12-06, main language C++  
-<sub><sup>geospatial-data, raster, remote-sensing, vector</sup></sub>
+### [leafmap](https://github.com/giswqs/leafmap) by [giswqs](https://github.com/giswqs)  
+leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment  
+[https://leafmap.org](https://leafmap.org)  
+[https://github.com/giswqs/leafmap](https://github.com/giswqs/leafmap)  
+14 stars per week over 103 weeks  
+1,527 stars, 190 forks, 46 watches  
+created 2021-03-10, last commit 2023-03-04, main language Python  
+<sub><sup>data-science, dataviz, folium, geopython, geospatial, geospatial-analysis, gis, ipyleaflet, jupyter, jupyter-notebook, keplergl, leafmap, mapping, plotly, pydeck, python, streamlit, streamlit-webapp, whiteboxtools</sup></sub>
+
+
+### [satpy](https://github.com/pytroll/satpy) by [pytroll](https://github.com/pytroll)  
+satpy: Python package for earth-observing satellite data processing  
+[http://satpy.readthedocs.org/en/latest/](http://satpy.readthedocs.org/en/latest/)  
+[https://github.com/pytroll/satpy](https://github.com/pytroll/satpy)  
+2.43 stars per week over 368 weeks  
+897 stars, 261 forks, 31 watches  
+created 2016-02-09, last commit 2023-02-21, main language Python  
+<sub><sup>closember, dask, hacktoberfest, python, satellite, weather, xarray</sup></sub>
 
 
 ### [geopandas](https://github.com/geopandas/geopandas)  
 geopandas: Python tools for geographic data  
 [http://geopandas.org/](http://geopandas.org/)  
 [https://github.com/geopandas/geopandas](https://github.com/geopandas/geopandas)  
-6.99 stars per week over 492 weeks  
-3,443 stars, 770 forks, 105 watches  
-created 2013-06-27, last commit 2022-12-06, main language Python  
+7.06 stars per week over 505 weeks  
+3,568 stars, 794 forks, 106 watches  
+created 2013-06-27, last commit 2023-03-04, main language Python  
 
 
-### [shapely](https://github.com/shapely/shapely)  
-shapely: Manipulation and analysis of geometric objects  
-[https://shapely.readthedocs.io/en/stable/](https://shapely.readthedocs.io/en/stable/)  
-[https://github.com/shapely/shapely](https://github.com/shapely/shapely)  
-5.4 stars per week over 570 weeks  
-3,080 stars, 497 forks, 82 watches  
-created 2011-12-31, last commit 2022-12-07, main language Python  
+### [rasterio](https://github.com/rasterio/rasterio)  
+Rasterio reads and writes geospatial raster datasets  
+[https://rasterio.readthedocs.io/](https://rasterio.readthedocs.io/)  
+[https://github.com/rasterio/rasterio](https://github.com/rasterio/rasterio)  
+3.88 stars per week over 486 weeks  
+1,889 stars, 508 forks, 151 watches  
+created 2013-11-04, last commit 2023-02-27, main language Python  
+<sub><sup>cli, cython, gdal, gis, mapbox-satellite-oss, python, raster</sup></sub>
 
 
 ### [datashader](https://github.com/holoviz/datashader) by [holoviz](https://github.com/holoviz)  
 datashader: Quickly and accurately render even the largest data.  
 [http://datashader.org](http://datashader.org)  
 [https://github.com/holoviz/datashader](https://github.com/holoviz/datashader)  
-7.94 stars per week over 363 weeks  
-2,882 stars, 360 forks, 94 watches  
-created 2015-12-23, last commit 2022-11-17, main language Python  
+7.81 stars per week over 375 weeks  
+2,932 stars, 364 forks, 95 watches  
+created 2015-12-23, last commit 2023-02-27, main language Python  
 <sub><sup>data-visualizations, datashader, holoviz, rasterization</sup></sub>
 
 
-### [geemap](https://github.com/giswqs/geemap) by [giswqs](https://github.com/giswqs)  
-geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.  
-[https://geemap.org](https://geemap.org)  
-[https://github.com/giswqs/geemap](https://github.com/giswqs/geemap)  
-16 stars per week over 143 weeks  
-2,407 stars, 894 forks, 96 watches  
-created 2020-03-08, last commit 2022-12-05, main language Python  
-<sub><sup>colab, data-science, dataviz, earth-engine, earthengine, folium, geospatial, gis, google-earth-engine, image-processing, ipyleaflet, ipywidgets, jupyter, jupyter-notebook, landsat, mapping, python, remote-sensing, streamlit, streamlit-webapp</sup></sub>
-
-
-### [earthengine-api](https://github.com/google/earthengine-api) by [google](https://github.com/google)  
-earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.  
-[https://github.com/google/earthengine-api](https://github.com/google/earthengine-api)  
-5.23 stars per week over 398 weeks  
-2,082 stars, 888 forks, 204 watches  
-created 2015-04-22, last commit 2022-11-30, main language JavaScript  
+### [grass](https://github.com/osgeo/grass) by [osgeo](https://github.com/osgeo)  
+GRASS GIS - free and open source Geographic Information System (GIS)  
+[https://grass.osgeo.org](https://grass.osgeo.org)  
+[https://github.com/osgeo/grass](https://github.com/osgeo/grass)  
+3.01 stars per week over 198 weeks  
+596 stars, 223 forks, 43 watches  
+created 2019-05-17, last commit 2023-03-02, main language C  
+<sub><sup>earth-observation, geospatial, geospatial-analysis, gis, grass-gis, hacktoberfest, open-science, osgeo, raster, remote-sensing, science, spatial, timeseries-analysis, vector</sup></sub>
 
 
-### [rasterio](https://github.com/rasterio/rasterio)  
-Rasterio reads and writes geospatial raster datasets  
-[https://rasterio.readthedocs.io/](https://rasterio.readthedocs.io/)  
-[https://github.com/rasterio/rasterio](https://github.com/rasterio/rasterio)  
-3.91 stars per week over 474 weeks  
-1,853 stars, 490 forks, 152 watches  
-created 2013-11-04, last commit 2022-12-01, main language Python  
-<sub><sup>cli, cython, gdal, gis, mapbox-satellite-oss, python, raster</sup></sub>
+### [raster-vision](https://github.com/azavea/raster-vision) by [azavea](https://github.com/azavea)  
+raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.  
+[https://docs.rastervision.io](https://docs.rastervision.io)  
+[https://github.com/azavea/raster-vision](https://github.com/azavea/raster-vision)  
+5.67 stars per week over 317 weeks  
+1,799 stars, 351 forks, 83 watches  
+created 2017-02-02, last commit 2023-02-27, main language Python  
+<sub><sup>classification, computer-vision, deep-learning, geospatial, machine-learning, object-detection, pytorch, remote-sensing, semantic-segmentation</sup></sub>
 
 
-### [cityscapesScripts](https://github.com/mcordts/cityscapesscripts) by [mcordts](https://github.com/mcordts)  
-cityscapesScripts: README and scripts for the Cityscapes Dataset  
-[https://github.com/mcordts/cityscapesscripts](https://github.com/mcordts/cityscapesscripts)  
-5.17 stars per week over 354 weeks  
-1,832 stars, 565 forks, 46 watches  
-created 2016-02-20, last commit 2022-10-22, main language Python  
+### [BlenderGIS](https://github.com/domlysz/blendergis) by [domlysz](https://github.com/domlysz)  
+BlenderGIS: Blender addons to make the bridge between Blender and geographic data  
+[https://github.com/domlysz/blendergis](https://github.com/domlysz/blendergis)  
+13 stars per week over 460 weeks  
+6,075 stars, 1,134 forks, 245 watches  
+created 2014-05-08, last commit 2022-05-31, main language Python  
+<sub><sup>3d, 3d-map, 3dgis, addon, basemap, blender, delaunay-triangulation, dem, geodata, georeferencing, geospatial, gis, importexport, map, openstreetmap, python, raster, shapefile, terrain-model</sup></sub>
 
 
-### [felicette](https://github.com/plant99/felicette) by [plant99](https://github.com/plant99)  
-felicette: Satellite imagery for dummies.  
-[https://github.com/plant99/felicette](https://github.com/plant99/felicette)  
-14 stars per week over 125 weeks  
-1,792 stars, 86 forks, 38 watches  
-created 2020-07-12, last commit 2021-09-08, main language Python  
-<sub><sup>earth-observation, earth-science, geoinformatics, geospatial, geospatial-data, geospatial-visualization, gis, python, python3, satellite-data, satellite-imagery, satellite-images</sup></sub>
+### [sedona](https://github.com/apache/incubator-sedona) by [apache](https://github.com/apache)  
+sedona: A cluster computing framework for processing large-scale geospatial data  
+[http://sedona.apache.org/](http://sedona.apache.org/)  
+[https://github.com/apache/incubator-sedona](https://github.com/apache/incubator-sedona)  
+3.33 stars per week over 410 weeks  
+1,366 stars, 561 forks, 105 watches  
+created 2015-04-24, last commit 2023-03-04, main language Java  
+<sub><sup>cluster-computing, geospatial, java, python, scala, spatial-analysis, spatial-query, spatial-sql</sup></sub>
 
 
-### [leafmap](https://github.com/giswqs/leafmap) by [giswqs](https://github.com/giswqs)  
-leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment  
-[https://leafmap.org](https://leafmap.org)  
-[https://github.com/giswqs/leafmap](https://github.com/giswqs/leafmap)  
-14 stars per week over 91 weeks  
-1,361 stars, 162 forks, 40 watches  
-created 2021-03-10, last commit 2022-12-01, main language Python  
-<sub><sup>data-science, dataviz, folium, geopython, geospatial, geospatial-analysis, gis, ipyleaflet, jupyter, jupyter-notebook, keplergl, leafmap, mapping, plotly, pydeck, python, streamlit, streamlit-webapp, whiteboxtools</sup></sub>
+### [eo-learn](https://github.com/sentinel-hub/eo-learn) by [sentinel-hub](https://github.com/sentinel-hub)  
+eo-learn: Earth observation processing framework for machine learning in Python  
+[https://github.com/sentinel-hub/eo-learn](https://github.com/sentinel-hub/eo-learn)  
+3.92 stars per week over 248 weeks  
+974 stars, 283 forks, 48 watches  
+created 2018-05-31, last commit 2023-01-24, main language Python  
+<sub><sup>eo-data, eo-research, machine-learning, python-package</sup></sub>
 
 
-### [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) by [jupyter-widgets](https://github.com/jupyter-widgets)  
-ipyleaflet: A Jupyter - Leaflet.js bridge  
-[https://ipyleaflet.readthedocs.io](https://ipyleaflet.readthedocs.io)  
-[https://github.com/jupyter-widgets/ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet)  
-2.93 stars per week over 448 weeks  
-1,314 stars, 348 forks, 61 watches  
-created 2014-05-07, last commit 2022-10-27, main language JavaScript  
-<sub><sup>jupyter, jupyterlab-extension, leaflet, visualization</sup></sub>
+### [pyproj](https://github.com/pyproj4/pyproj) by [pyproj4](https://github.com/pyproj4)  
+pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library)  
+[https://pyproj4.github.io/pyproj](https://pyproj4.github.io/pyproj)  
+[https://github.com/pyproj4/pyproj](https://github.com/pyproj4/pyproj)  
+2.01 stars per week over 426 weeks  
+858 stars, 190 forks, 30 watches  
+created 2014-12-29, last commit 2023-02-25, main language Python  
+<sub><sup>cartographic-projection, coordinate-systems, coordinate-transformation, geodesic, geospatial, hacktoberfest, python</sup></sub>
 
 
-### [incubator-sedona](https://github.com/apache/incubator-sedona) by [apache](https://github.com/apache)  
-incubator-sedona: A cluster computing framework for processing large-scale geospatial data  
-[http://sedona.apache.org/](http://sedona.apache.org/)  
-[https://github.com/apache/incubator-sedona](https://github.com/apache/incubator-sedona)  
-3.19 stars per week over 397 weeks  
-1,269 stars, 532 forks, 101 watches  
-created 2015-04-24, last commit 2022-12-03, main language Java  
-<sub><sup>cluster-computing, geospatial, java, python, scala, spatial-analysis, spatial-query, spatial-sql</sup></sub>
+### [aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo) by [giswqs](https://github.com/giswqs)  
+aws-open-data-geo: A list of open geospatial datasets on AWS  
+[https://github.com/giswqs/aws-open-data-geo](https://github.com/giswqs/aws-open-data-geo)  
+21 stars per week over 11 weeks  
+235 stars, 6 forks, 9 watches  
+created 2022-12-18, last commit 2023-03-04, main language Python  
+<sub><sup>aws, environment, geospatial, mapping, open-data, satellite-imagery, sustainability</sup></sub>
 
 
-### [osmnx-examples](https://github.com/gboeing/osmnx-examples) by [gboeing](https://github.com/gboeing)  
-osmnx-examples: Usage examples, demos, and tutorials for OSMnx.  
-[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
-[https://github.com/gboeing/osmnx-examples](https://github.com/gboeing/osmnx-examples)  
-4.15 stars per week over 280 weeks  
-1,165 stars, 433 forks, 54 watches  
-created 2017-07-22, last commit 2022-08-05, main language Jupyter Notebook  
-<sub><sup>accessibility, binder, cities, city, jupyter-notebook, network-analysis, notebooks, openstreetmap, public-transport, python, street-networks, transit, transport, transportation, urban-analytics, urban-data-science, urban-design, urban-planning</sup></sub>
+### [rioxarray](https://github.com/corteva/rioxarray) by [corteva](https://github.com/corteva)  
+rioxarray: geospatial xarray extension powered by rasterio  
+[https://corteva.github.io/rioxarray](https://corteva.github.io/rioxarray)  
+[https://github.com/corteva/rioxarray](https://github.com/corteva/rioxarray)  
+1.84 stars per week over 202 weeks  
+373 stars, 60 forks, 14 watches  
+created 2019-04-16, last commit 2023-03-03, main language Python  
+<sub><sup>gdal, geospatial, gis, hacktoberfest, netcdf, python, raster, rasterio, xarray</sup></sub>
 
 
-### [torchgeo](https://github.com/microsoft/torchgeo) by [microsoft](https://github.com/microsoft)  
-TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data  
-[https://torchgeo.rtfd.io](https://torchgeo.rtfd.io)  
-[https://github.com/microsoft/torchgeo](https://github.com/microsoft/torchgeo)  
-14 stars per week over 80 weeks  
-1,162 stars, 137 forks, 32 watches  
-created 2021-05-21, last commit 2022-12-05, main language Python  
-<sub><sup>datasets, deep-learning, earth-observation, models, pytorch, remote-sensing, torchvision, transforms</sup></sub>
+### [movingpandas](https://github.com/anitagraser/movingpandas) by [anitagraser](https://github.com/anitagraser)  
+movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas  
+[http://movingpandas.org](http://movingpandas.org)  
+[https://github.com/anitagraser/movingpandas](https://github.com/anitagraser/movingpandas)  
+4.24 stars per week over 220 weeks  
+932 stars, 170 forks, 37 watches  
+created 2018-12-16, last commit 2023-02-16, main language Python  
+<sub><sup>geopandas, movement-data, python, spatial-data-analysis, trajectory, trajectory-analysis</sup></sub>
 
 
 ### [cartopy](https://github.com/scitools/cartopy) by [scitools](https://github.com/scitools)  
 Cartopy - a cartographic python library with matplotlib support  
 [https://scitools.org.uk/cartopy/docs/latest](https://scitools.org.uk/cartopy/docs/latest)  
 [https://github.com/scitools/cartopy](https://github.com/scitools/cartopy)  
-2.11 stars per week over 539 weeks  
-1,137 stars, 334 forks, 55 watches  
-created 2012-08-03, last commit 2022-11-30, main language Python  
+2.15 stars per week over 552 weeks  
+1,185 stars, 338 forks, 56 watches  
+created 2012-08-03, last commit 2023-02-28, main language Python  
 <sub><sup>cartopy, geometry, maps, matplotlib, projections, python, spatial</sup></sub>
 
 
-### [pysal](https://github.com/pysal/pysal)  
-PySAL: Python Spatial Analysis Library Meta-Package  
-[http://pysal.org/pysal](http://pysal.org/pysal)  
-[https://github.com/pysal/pysal](https://github.com/pysal/pysal)  
-2.11 stars per week over 511 weeks  
-1,080 stars, 283 forks, 81 watches  
-created 2013-02-19, last commit 2022-07-23, main language Jupyter Notebook  
+### [titiler](https://github.com/developmentseed/titiler) by [developmentseed](https://github.com/developmentseed)  
+titiler: Build your own Raster dynamic map tile services  
+[https://developmentseed.org/titiler/](https://developmentseed.org/titiler/)  
+[https://github.com/developmentseed/titiler](https://github.com/developmentseed/titiler)  
+2.51 stars per week over 192 weeks  
+482 stars, 103 forks, 18 watches  
+created 2019-06-28, last commit 2023-03-01, main language Python  
+<sub><sup>aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile</sup></sub>
 
 
-### [geoplot](https://github.com/residentmario/geoplot) by [residentmario](https://github.com/residentmario)  
-geoplot: High-level geospatial data visualization library for Python.  
-[https://residentmario.github.io/geoplot/index.html](https://residentmario.github.io/geoplot/index.html)  
-[https://github.com/residentmario/geoplot](https://github.com/residentmario/geoplot)  
-3.07 stars per week over 336 weeks  
-1,030 stars, 90 forks, 35 watches  
-created 2016-06-29, last commit 2022-03-18, main language Python  
-<sub><sup>geopandas, geospatial-data, geospatial-visualization, matplotlib, spatial-analysis</sup></sub>
+### [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) by [sentinel-hub](https://github.com/sentinel-hub)  
+sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.  
+[http://sentinelhub-py.readthedocs.io/en/latest/](http://sentinelhub-py.readthedocs.io/en/latest/)  
+[https://github.com/sentinel-hub/sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py)  
+2.24 stars per week over 302 weeks  
+677 stars, 219 forks, 47 watches  
+created 2017-05-17, last commit 2023-02-24, main language Python  
+<sub><sup>aws, ogc-services, python-library, satellite-imagery, sentinel-hub</sup></sub>
 
 
-### [pyshp](https://github.com/geospatialpython/pyshp) by [geospatialpython](https://github.com/geospatialpython)  
-pyshp: This library reads and writes ESRI Shapefiles in pure Python.  
-[https://github.com/geospatialpython/pyshp](https://github.com/geospatialpython/pyshp)  
-2.15 stars per week over 457 weeks  
-984 stars, 258 forks, 63 watches  
-created 2014-03-04, last commit 2022-07-28, main language Python  
+### [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) by [jupyter-widgets](https://github.com/jupyter-widgets)  
+ipyleaflet: A Jupyter - Leaflet.js bridge  
+[https://ipyleaflet.readthedocs.io](https://ipyleaflet.readthedocs.io)  
+[https://github.com/jupyter-widgets/ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet)  
+2.89 stars per week over 460 weeks  
+1,332 stars, 351 forks, 61 watches  
+created 2014-05-07, last commit 2023-02-10, main language JavaScript  
+<sub><sup>jupyter, jupyterlab-extension, leaflet, visualization</sup></sub>
 
 
 ### [Fiona](https://github.com/toblerity/fiona) by [toblerity](https://github.com/toblerity)  
 Fiona reads and writes geographic data files  
 [https://fiona.readthedocs.io/](https://fiona.readthedocs.io/)  
 [https://github.com/toblerity/fiona](https://github.com/toblerity/fiona)  
-1.71 stars per week over 570 weeks  
-977 stars, 190 forks, 49 watches  
-created 2011-12-31, last commit 2022-03-01, main language Python  
+1.76 stars per week over 583 weeks  
+1,024 stars, 196 forks, 48 watches  
+created 2011-12-31, last commit 2023-02-26, main language Python  
 <sub><sup>cli, cython, gdal, gis, ogr, python, vector</sup></sub>
 
 
-### [eo-learn](https://github.com/sentinel-hub/eo-learn) by [sentinel-hub](https://github.com/sentinel-hub)  
-eo-learn: Earth observation processing framework for machine learning in Python  
-[https://github.com/sentinel-hub/eo-learn](https://github.com/sentinel-hub/eo-learn)  
-4.02 stars per week over 235 weeks  
-948 stars, 275 forks, 51 watches  
-created 2018-05-31, last commit 2022-11-23, main language Python  
-<sub><sup>eo-data, eo-research, machine-learning, python-package</sup></sub>
+### [xarray-spatial](https://github.com/makepath/xarray-spatial) by [makepath](https://github.com/makepath)  
+xarray-spatial: Raster-based Spatial Analytics for Python  
+[https://xarray-spatial.org](https://xarray-spatial.org)  
+[https://github.com/makepath/xarray-spatial](https://github.com/makepath/xarray-spatial)  
+4.24 stars per week over 160 weeks  
+679 stars, 76 forks, 24 watches  
+created 2020-02-08, last commit 2023-03-02, main language Python  
+<sub><sup>datashader, numba, python, raster-analysis, spatial-analysis, xarray</sup></sub>
 
 
-### [movingpandas](https://github.com/anitagraser/movingpandas) by [anitagraser](https://github.com/anitagraser)  
-movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas  
-[http://movingpandas.org](http://movingpandas.org)  
-[https://github.com/anitagraser/movingpandas](https://github.com/anitagraser/movingpandas)  
-4.28 stars per week over 207 weeks  
-888 stars, 164 forks, 36 watches  
-created 2018-12-16, last commit 2022-12-02, main language Python  
-<sub><sup>geopandas, movement-data, python, spatial-data-analysis, trajectory, trajectory-analysis</sup></sub>
+### [iris](https://github.com/scitools/iris) by [scitools](https://github.com/scitools)  
+iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data  
+[https://scitools-iris.readthedocs.io/en/latest/](https://scitools-iris.readthedocs.io/en/latest/)  
+[https://github.com/scitools/iris](https://github.com/scitools/iris)  
+0.97 stars per week over 551 weeks  
+538 stars, 264 forks, 45 watches  
+created 2012-08-06, last commit 2023-02-28, main language Python  
+<sub><sup>data-analysis, earth-science, grib, iris, meteorology, netcdf, oceanography, python, spaceweather, visualisation</sup></sub>
 
 
-### [satpy](https://github.com/pytroll/satpy) by [pytroll](https://github.com/pytroll)  
-satpy: Python package for earth-observing satellite data processing  
-[http://satpy.readthedocs.org/en/latest/](http://satpy.readthedocs.org/en/latest/)  
-[https://github.com/pytroll/satpy](https://github.com/pytroll/satpy)  
-2.47 stars per week over 356 weeks  
-880 stars, 255 forks, 32 watches  
-created 2016-02-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, dask, hacktoberfest, python, satellite, weather, xarray</sup></sub>
+### [dask-geopandas](https://github.com/geopandas/dask-geopandas) by [geopandas](https://github.com/geopandas)  
+dask-geopandas: Parallel GeoPandas with Dask  
+[https://dask-geopandas.readthedocs.io/](https://dask-geopandas.readthedocs.io/)  
+[https://github.com/geopandas/dask-geopandas](https://github.com/geopandas/dask-geopandas)  
+2.26 stars per week over 159 weeks  
+361 stars, 37 forks, 22 watches  
+created 2020-02-13, last commit 2023-02-27, main language Python  
 
 
-### [sentinelsat](https://github.com/sentinelsat/sentinelsat)  
-sentinelsat: Search and download Copernicus Sentinel satellite images  
-[https://sentinelsat.readthedocs.io](https://sentinelsat.readthedocs.io)  
-[https://github.com/sentinelsat/sentinelsat](https://github.com/sentinelsat/sentinelsat)  
-2.12 stars per week over 393 weeks  
-833 stars, 225 forks, 59 watches  
-created 2015-05-22, last commit 2022-11-03, main language Python  
-<sub><sup>copernicus, esa, geographic-data, hacktoberfest, open-data, remote-sensing, satellite-imagery, sentinel</sup></sub>
+### [CoastSat](https://github.com/kvos/coastsat) by [kvos](https://github.com/kvos)  
+CoastSat: Global shoreline mapping tool from satellite imagery  
+[http://coastsat.wrl.unsw.edu.au/](http://coastsat.wrl.unsw.edu.au/)  
+[https://github.com/kvos/coastsat](https://github.com/kvos/coastsat)  
+2.18 stars per week over 231 weeks  
+505 stars, 206 forks, 23 watches  
+created 2018-09-28, last commit 2023-02-23, main language Jupyter Notebook  
+<sub><sup>coastal-engineering, earth-engine, google-earth-engine, remote-sensing, satellite-images, shoreline-detection</sup></sub>
 
 
-### [pyproj](https://github.com/pyproj4/pyproj) by [pyproj4](https://github.com/pyproj4)  
-pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library)  
-[https://pyproj4.github.io/pyproj](https://pyproj4.github.io/pyproj)  
-[https://github.com/pyproj4/pyproj](https://github.com/pyproj4/pyproj)  
-1.99 stars per week over 414 weeks  
-824 stars, 188 forks, 30 watches  
-created 2014-12-29, last commit 2022-12-06, main language Python  
-<sub><sup>cartographic-projection, coordinate-systems, coordinate-transformation, geodesic, geospatial, hacktoberfest, python</sup></sub>
+### [pysal](https://github.com/pysal/pysal)  
+PySAL: Python Spatial Analysis Library Meta-Package  
+[http://pysal.org/pysal](http://pysal.org/pysal)  
+[https://github.com/pysal/pysal](https://github.com/pysal/pysal)  
+2.13 stars per week over 523 weeks  
+1,117 stars, 292 forks, 81 watches  
+created 2013-02-19, last commit 2023-01-28, main language Jupyter Notebook  
+
+
+### [earthengine-api](https://github.com/google/earthengine-api) by [google](https://github.com/google)  
+earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.  
+[https://github.com/google/earthengine-api](https://github.com/google/earthengine-api)  
+5.22 stars per week over 410 weeks  
+2,143 stars, 918 forks, 207 watches  
+created 2015-04-22, last commit 2023-03-01, main language JavaScript  
 
 
 ### [basemap](https://github.com/matplotlib/basemap) by [matplotlib](https://github.com/matplotlib)  
 basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib  
 [https://github.com/matplotlib/basemap](https://github.com/matplotlib/basemap)  
-1.14 stars per week over 615 weeks  
-701 stars, 395 forks, 60 watches  
+1.13 stars per week over 628 weeks  
+712 stars, 395 forks, 60 watches  
 created 2011-02-19, last commit 2022-11-29, main language Python  
 <sub><sup>gis, maps, plots</sup></sub>
 
 
-### [mordecai](https://github.com/openeventdata/mordecai) by [openeventdata](https://github.com/openeventdata)  
-mordecai: Full text geoparsing as a Python library  
-[https://github.com/openeventdata/mordecai](https://github.com/openeventdata/mordecai)  
-2.03 stars per week over 336 weeks  
-685 stars, 94 forks, 35 watches  
-created 2016-06-23, last commit 2021-02-01, main language Python  
-<sub><sup>geocoding, geonames, geoparsing, nlp, spacy, toponym-resolution</sup></sub>
-
-
-### [landsat-util](https://github.com/developmentseed/landsat-util) by [developmentseed](https://github.com/developmentseed)  
-landsat-util: A utility to search, download and process Landsat 8 satellite imagery  
-[https://github.com/developmentseed/landsat-util](https://github.com/developmentseed/landsat-util)  
-1.56 stars per week over 435 weeks  
-681 stars, 155 forks, 125 watches  
-created 2014-08-01, last commit 2018-07-30, main language Python  
+### [DeepForest](https://github.com/weecology/deepforest) by [weecology](https://github.com/weecology)  
+DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery  
+[https://deepforest.readthedocs.io/](https://deepforest.readthedocs.io/)  
+[https://github.com/weecology/deepforest](https://github.com/weecology/deepforest)  
+1.31 stars per week over 260 weeks  
+341 stars, 132 forks, 15 watches  
+created 2018-03-07, last commit 2023-02-22, main language JavaScript  
 
 
-### [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) by [sentinel-hub](https://github.com/sentinel-hub)  
-sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.  
-[http://sentinelhub-py.readthedocs.io/en/latest/](http://sentinelhub-py.readthedocs.io/en/latest/)  
-[https://github.com/sentinel-hub/sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py)  
-2.26 stars per week over 290 weeks  
-654 stars, 211 forks, 49 watches  
-created 2017-05-17, last commit 2022-10-06, main language Python  
-<sub><sup>aws, ogc-services, python-library, satellite-imagery, sentinel-hub</sup></sub>
+### [GeoTorchAI](https://github.com/datasystemslab/geotorch) by [datasystemslab](https://github.com/datasystemslab)  
+GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036)  
+[https://kanchanchy.github.io/geotorchai/](https://kanchanchy.github.io/geotorchai/)  
+[https://github.com/datasystemslab/geotorch](https://github.com/datasystemslab/geotorch)  
+7.56 stars per week over 40 weeks  
+309 stars, 21 forks, 9 watches  
+created 2022-05-23, last commit 2023-02-05, main language Python  
+<sub><sup>classification-model, convlstm-pytorch, deep-learning, deep-neural-networks, deepsat, prediction-model, raster-data, satellite-classification, satellite-images, segmentation-models, sequence-models, spatial-data-analysis, spatio-temporal-analysis, spatio-temporal-models, spatio-temporal-prediction, st-resnet</sup></sub>
 
 
-### [xarray-spatial](https://github.com/makepath/xarray-spatial) by [makepath](https://github.com/makepath)  
-xarray-spatial: Raster-based Spatial Analytics for Python  
-[https://xarray-spatial.org](https://xarray-spatial.org)  
-[https://github.com/makepath/xarray-spatial](https://github.com/makepath/xarray-spatial)  
-4.32 stars per week over 147 weeks  
-638 stars, 73 forks, 25 watches  
-created 2020-02-08, last commit 2022-06-22, main language Python  
-<sub><sup>datashader, numba, python, raster-analysis, spatial-analysis, xarray</sup></sub>
+### [earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer) by [amazon-science](https://github.com/amazon-science)  
+earth-forecasting-transformer: Official implementation of Earthformer  
+[https://github.com/amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer)  
+7.08 stars per week over 24 weeks  
+176 stars, 30 forks, 10 watches  
+created 2022-09-12, last commit 2023-02-03, main language Jupyter Notebook  
 
 
-### [h3-py](https://github.com/uber/h3-py) by [uber](https://github.com/uber)  
-h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system  
-[https://uber.github.io/h3-py](https://uber.github.io/h3-py)  
-[https://github.com/uber/h3-py](https://github.com/uber/h3-py)  
-2.53 stars per week over 234 weeks  
-593 stars, 112 forks, 34 watches  
-created 2018-06-12, last commit 2022-11-24, main language Python  
-<sub><sup>geocoding, geospatial, gis, h3, hexagonal-architecture, python, uber</sup></sub>
+### [OWSLib](https://github.com/geopython/owslib) by [geopython](https://github.com/geopython)  
+OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.  
+[https://geopython.github.io/OWSLib](https://geopython.github.io/OWSLib)  
+[https://github.com/geopython/owslib](https://github.com/geopython/owslib)  
+0.55 stars per week over 581 weeks  
+322 stars, 262 forks, 30 watches  
+created 2012-01-13, last commit 2023-02-24, main language Python  
 
 
-### [scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
-scikit-mobility: mobility analysis in Python  
-[https://scikit-mobility.github.io/scikit-mobility/](https://scikit-mobility.github.io/scikit-mobility/)  
-[https://github.com/scikit-mobility/scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
-3.03 stars per week over 188 weeks  
-571 stars, 130 forks, 29 watches  
-created 2019-04-30, last commit 2022-06-13, main language Python  
-<sub><sup>complex-systems, data-analysis, data-science, human-mobility, mobility-analysis, mobility-flows, network-science, risk-assessment, scikit-mobility, statistics, synthetic-flows</sup></sub>
-
-
-### [grass](https://github.com/osgeo/grass) by [osgeo](https://github.com/osgeo)  
-GRASS GIS - free and open source Geographic Information System (GIS)  
-[https://grass.osgeo.org](https://grass.osgeo.org)  
-[https://github.com/osgeo/grass](https://github.com/osgeo/grass)  
-3.01 stars per week over 185 weeks  
-559 stars, 208 forks, 47 watches  
-created 2019-05-17, last commit 2022-12-06, main language C  
-<sub><sup>earth-observation, geospatial, geospatial-analysis, gis, grass-gis, hacktoberfest, open-science, osgeo, raster, remote-sensing, science, spatial, timeseries-analysis, vector</sup></sub>
-
-
-### [iris](https://github.com/scitools/iris) by [scitools](https://github.com/scitools)  
-iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data  
-[https://scitools-iris.readthedocs.io/en/latest/](https://scitools-iris.readthedocs.io/en/latest/)  
-[https://github.com/scitools/iris](https://github.com/scitools/iris)  
-0.96 stars per week over 539 weeks  
-520 stars, 258 forks, 44 watches  
-created 2012-08-06, last commit 2022-12-05, main language Python  
-<sub><sup>data-analysis, earth-science, grib, iris, meteorology, netcdf, oceanography, python, spaceweather, visualisation</sup></sub>
-
-
-### [rtree](https://github.com/toblerity/rtree) by [toblerity](https://github.com/toblerity)  
-Rtree: spatial index for Python GIS ¶  
-[https://rtree.readthedocs.io/en/latest/](https://rtree.readthedocs.io/en/latest/)  
-[https://github.com/toblerity/rtree](https://github.com/toblerity/rtree)  
-0.86 stars per week over 598 weeks  
-514 stars, 123 forks, 30 watches  
-created 2011-06-19, last commit 2022-11-04, main language Python  
-
-
-### [CoastSat](https://github.com/kvos/coastsat) by [kvos](https://github.com/kvos)  
-CoastSat: Global shoreline mapping tool from satellite imagery  
-[http://coastsat.wrl.unsw.edu.au/](http://coastsat.wrl.unsw.edu.au/)  
-[https://github.com/kvos/coastsat](https://github.com/kvos/coastsat)  
-2.18 stars per week over 218 weeks  
-477 stars, 194 forks, 23 watches  
-created 2018-09-28, last commit 2022-11-11, main language Jupyter Notebook  
-<sub><sup>coastal-engineering, earth-engine, google-earth-engine, remote-sensing, satellite-images, shoreline-detection</sup></sub>
-
-
-### [verde](https://github.com/fatiando/verde) by [fatiando](https://github.com/fatiando)  
-verde: Processing and interpolating spatial data with a twist of machine learning  
-[https://www.fatiando.org/verde](https://www.fatiando.org/verde)  
-[https://github.com/fatiando/verde](https://github.com/fatiando/verde)  
-1.94 stars per week over 241 weeks  
-467 stars, 60 forks, 21 watches  
-created 2018-04-25, last commit 2022-11-30, main language Python  
-<sub><sup>earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, python, python3, scipy, scipy-stack</sup></sub>
-
-
-### [geoviews](https://github.com/holoviz/geoviews) by [holoviz](https://github.com/holoviz)  
-geoviews: Simple, concise geographical visualization in Python  
-[http://geoviews.org](http://geoviews.org)  
-[https://github.com/holoviz/geoviews](https://github.com/holoviz/geoviews)  
-1.27 stars per week over 346 weeks  
-441 stars, 69 forks, 30 watches  
-created 2016-04-19, last commit 2022-11-18, main language Python  
-<sub><sup>cartopy, geographic-visualizations, geoviews, holoviews, holoviz, plotting</sup></sub>
+### [cityscapesScripts](https://github.com/mcordts/cityscapesscripts) by [mcordts](https://github.com/mcordts)  
+cityscapesScripts: README and scripts for the Cityscapes Dataset  
+[https://github.com/mcordts/cityscapesscripts](https://github.com/mcordts/cityscapesscripts)  
+5.1 stars per week over 367 weeks  
+1,874 stars, 578 forks, 45 watches  
+created 2016-02-20, last commit 2022-10-22, main language Python  
 
 
-### [label-maker](https://github.com/developmentseed/label-maker) by [developmentseed](https://github.com/developmentseed)  
-label-maker: Data Preparation for Satellite Machine Learning  
-[http://devseed.com/label-maker/](http://devseed.com/label-maker/)  
-[https://github.com/developmentseed/label-maker](https://github.com/developmentseed/label-maker)  
-1.7 stars per week over 256 weeks  
-434 stars, 113 forks, 50 watches  
-created 2018-01-10, last commit 2020-11-19, main language Python  
-<sub><sup>computer-vision, data-preparation, deep-learning, keras, remote-sensing, satellite-imagery</sup></sub>
+### [spopt](https://github.com/pysal/spopt) by [pysal](https://github.com/pysal)  
+spopt: Spatial Optimization  
+[https://pysal.org/spopt/](https://pysal.org/spopt/)  
+[https://github.com/pysal/spopt](https://github.com/pysal/spopt)  
+0.89 stars per week over 209 weeks  
+187 stars, 34 forks, 13 watches  
+created 2019-03-01, last commit 2023-03-02, main language Python  
+<sub><sup>facility-location, location-allocation, location-modeling, python, regionalization, resource-planning, routing, spatial-analysis, spatial-optimization, transportation</sup></sub>
 
 
-### [python-rasterstats](https://github.com/perrygeo/python-rasterstats) by [perrygeo](https://github.com/perrygeo)  
-python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.  
-[https://github.com/perrygeo/python-rasterstats](https://github.com/perrygeo/python-rasterstats)  
-0.9 stars per week over 481 weeks  
-434 stars, 108 forks, 33 watches  
-created 2013-09-18, last commit 2022-10-18, main language Python  
+### [sentinelsat](https://github.com/sentinelsat/sentinelsat)  
+sentinelsat: Search and download Copernicus Sentinel satellite images  
+[https://sentinelsat.readthedocs.io](https://sentinelsat.readthedocs.io)  
+[https://github.com/sentinelsat/sentinelsat](https://github.com/sentinelsat/sentinelsat)  
+2.09 stars per week over 406 weeks  
+850 stars, 230 forks, 60 watches  
+created 2015-05-22, last commit 2022-11-03, main language Python  
+<sub><sup>copernicus, esa, geographic-data, hacktoberfest, open-data, remote-sensing, satellite-imagery, sentinel</sup></sub>
 
 
-### [titiler](https://github.com/developmentseed/titiler) by [developmentseed](https://github.com/developmentseed)  
-titiler: Build your own Raster dynamic map tile services  
-[https://developmentseed.org/titiler/](https://developmentseed.org/titiler/)  
-[https://github.com/developmentseed/titiler](https://github.com/developmentseed/titiler)  
-2.39 stars per week over 179 weeks  
-430 stars, 98 forks, 18 watches  
-created 2019-06-28, last commit 2022-12-05, main language Python  
-<sub><sup>aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile</sup></sub>
+### [geojson-pydantic](https://github.com/developmentseed/geojson-pydantic) by [developmentseed](https://github.com/developmentseed)  
+geojson-pydantic: Pydantic data models for the GeoJSON spec  
+[https://github.com/developmentseed/geojson-pydantic](https://github.com/developmentseed/geojson-pydantic)  
+0.87 stars per week over 145 weeks  
+126 stars, 28 forks, 11 watches  
+created 2020-05-21, last commit 2023-03-01, main language Python  
+<sub><sup>geojson, geojson-spec, pydantic</sup></sub>
 
 
 ### [earthpy](https://github.com/earthlab/earthpy) by [earthlab](https://github.com/earthlab)  
 earthpy: A package built to support working with spatial data using open source python  
 [https://earthpy.readthedocs.io](https://earthpy.readthedocs.io)  
 [https://github.com/earthlab/earthpy](https://github.com/earthlab/earthpy)  
-1.64 stars per week over 250 weeks  
-409 stars, 149 forks, 22 watches  
+1.61 stars per week over 262 weeks  
+422 stars, 151 forks, 21 watches  
 created 2018-02-20, last commit 2021-12-20, main language Python  
 <sub><sup>education, python, raster, spatial-data, vector</sup></sub>
 
 
-### [contextily](https://github.com/geopandas/contextily) by [geopandas](https://github.com/geopandas)  
-contextily: Context geo-tiles in Python  
-[https://contextily.readthedocs.io/en/latest/](https://contextily.readthedocs.io/en/latest/)  
-[https://github.com/geopandas/contextily](https://github.com/geopandas/contextily)  
-1.12 stars per week over 325 weeks  
-366 stars, 66 forks, 14 watches  
-created 2016-09-08, last commit 2022-11-30, main language Jupyter Notebook  
-<sub><sup>cartography, geography, mapping, matplotlib, openstreetmap, osm, python, stamen, stamen-maps, tile, tiles, webtiles</sup></sub>
-
-
 ### [rio-tiler](https://github.com/cogeotiff/rio-tiler) by [cogeotiff](https://github.com/cogeotiff)  
 rio-tiler: User friendly Rasterio plugin to read raster datasets.  
 [https://cogeotiff.github.io/rio-tiler/](https://cogeotiff.github.io/rio-tiler/)  
 [https://github.com/cogeotiff/rio-tiler](https://github.com/cogeotiff/rio-tiler)  
-1.34 stars per week over 269 weeks  
-362 stars, 84 forks, 65 watches  
-created 2017-10-06, last commit 2022-11-28, main language Python  
+1.35 stars per week over 282 weeks  
+382 stars, 86 forks, 66 watches  
+created 2017-10-06, last commit 2023-02-28, main language Python  
 <sub><sup>cog, cogeotiff, gdal, maptile, mercator, raster, raster-processing, rasterio, satellite, slippy-map, tile</sup></sub>
 
 
-### [pygeos](https://github.com/pygeos/pygeos)  
-pygeos: Wraps GEOS geometry functions in numpy ufuncs.  
-[https://pygeos.readthedocs.io](https://pygeos.readthedocs.io)  
-[https://github.com/pygeos/pygeos](https://github.com/pygeos/pygeos)  
-1.96 stars per week over 182 weeks  
-358 stars, 37 forks, 15 watches  
-created 2019-06-10, last commit 2022-08-25, main language Python  
+### [h3-py](https://github.com/uber/h3-py) by [uber](https://github.com/uber)  
+h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system  
+[https://uber.github.io/h3-py](https://uber.github.io/h3-py)  
+[https://github.com/uber/h3-py](https://github.com/uber/h3-py)  
+2.55 stars per week over 246 weeks  
+628 stars, 115 forks, 36 watches  
+created 2018-06-12, last commit 2022-11-24, main language Python  
+<sub><sup>geocoding, geospatial, gis, h3, hexagonal-architecture, python, uber</sup></sub>
 
 
-### [scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
-scikit-geometry: Scientific Python Geometric Algorithms Library  
-[https://scikit-geometry.github.io/scikit-geometry](https://scikit-geometry.github.io/scikit-geometry)  
-[https://github.com/scikit-geometry/scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
-1.01 stars per week over 349 weeks  
-354 stars, 47 forks, 13 watches  
-created 2016-03-28, last commit 2022-10-14, main language Jupyter Notebook  
-<sub><sup>cgal, geometric-algorithms, geometry, python, wrapper</sup></sub>
+### [python-rasterstats](https://github.com/perrygeo/python-rasterstats) by [perrygeo](https://github.com/perrygeo)  
+python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.  
+[https://github.com/perrygeo/python-rasterstats](https://github.com/perrygeo/python-rasterstats)  
+0.91 stars per week over 493 weeks  
+447 stars, 108 forks, 33 watches  
+created 2013-09-18, last commit 2023-03-01, main language Python  
+
+
+### [scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
+scikit-mobility: mobility analysis in Python  
+[https://scikit-mobility.github.io/scikit-mobility/](https://scikit-mobility.github.io/scikit-mobility/)  
+[https://github.com/scikit-mobility/scikit-mobility](https://github.com/scikit-mobility/scikit-mobility)  
+2.97 stars per week over 200 weeks  
+597 stars, 139 forks, 28 watches  
+created 2019-04-30, last commit 2023-01-20, main language Python  
+<sub><sup>complex-systems, data-analysis, data-science, human-mobility, mobility-analysis, mobility-flows, network-science, risk-assessment, scikit-mobility, statistics, synthetic-flows</sup></sub>
+
+
+### [rio-cogeo](https://github.com/cogeotiff/rio-cogeo) by [cogeotiff](https://github.com/cogeotiff)  
+rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio  
+[https://cogeotiff.github.io/rio-cogeo/](https://cogeotiff.github.io/rio-cogeo/)  
+[https://github.com/cogeotiff/rio-cogeo](https://github.com/cogeotiff/rio-cogeo)  
+0.84 stars per week over 260 weeks  
+219 stars, 30 forks, 44 watches  
+created 2018-03-09, last commit 2022-10-26, main language Python  
+<sub><sup>cog, cogeotiff, geotiff, rasterio, satellite</sup></sub>
+
+
+### [pyshp](https://github.com/geospatialpython/pyshp) by [geospatialpython](https://github.com/geospatialpython)  
+pyshp: This library reads and writes ESRI Shapefiles in pure Python.  
+[https://github.com/geospatialpython/pyshp](https://github.com/geospatialpython/pyshp)  
+2.15 stars per week over 469 weeks  
+1,008 stars, 260 forks, 64 watches  
+created 2014-03-04, last commit 2023-02-02, main language Python  
+
+
+### [GlobalMLBuildingFootprints](https://github.com/microsoft/globalmlbuildingfootprints) by [microsoft](https://github.com/microsoft)  
+GlobalMLBuildingFootprints: Worldwide building footprints derived from satellite imagery   
+[https://github.com/microsoft/globalmlbuildingfootprints](https://github.com/microsoft/globalmlbuildingfootprints)  
+16 stars per week over 45 weeks  
+754 stars, 94 forks, 31 watches  
+created 2022-04-22, last commit 2022-11-16, main language Python  
 
 
 ### [momepy](https://github.com/pysal/momepy) by [pysal](https://github.com/pysal)  
 momepy: Urban Morphology Measuring Toolkit  
 [https://docs.momepy.org](https://docs.momepy.org)  
 [https://github.com/pysal/momepy](https://github.com/pysal/momepy)  
-1.39 stars per week over 244 weeks  
-341 stars, 46 forks, 16 watches  
-created 2018-03-30, last commit 2022-10-17, main language Python  
+1.41 stars per week over 257 weeks  
+364 stars, 48 forks, 16 watches  
+created 2018-03-30, last commit 2023-02-28, main language Python  
 <sub><sup>morphological-analysis, morphology, morphometrics, urban, urban-morphometrics, urban-street-networks</sup></sub>
 
 
-### [dask-geopandas](https://github.com/geopandas/dask-geopandas) by [geopandas](https://github.com/geopandas)  
-dask-geopandas: Parallel GeoPandas with Dask  
-[https://dask-geopandas.readthedocs.io/](https://dask-geopandas.readthedocs.io/)  
-[https://github.com/geopandas/dask-geopandas](https://github.com/geopandas/dask-geopandas)  
-2.29 stars per week over 146 weeks  
-336 stars, 32 forks, 23 watches  
-created 2020-02-13, last commit 2022-08-28, main language Python  
-
-
-### [mercantile](https://github.com/mapbox/mercantile) by [mapbox](https://github.com/mapbox)  
-mercantile: Spherical mercator tile and coordinate utilities  
-[https://github.com/mapbox/mercantile](https://github.com/mapbox/mercantile)  
-0.73 stars per week over 460 weeks  
-334 stars, 62 forks, 117 watches  
-created 2014-02-12, last commit 2021-10-22, main language Python  
-<sub><sup>imagery, pxm, satellite</sup></sub>
-
-
-### [rioxarray](https://github.com/corteva/rioxarray) by [corteva](https://github.com/corteva)  
-rioxarray: geospatial xarray extension powered by rasterio  
-[https://corteva.github.io/rioxarray](https://corteva.github.io/rioxarray)  
-[https://github.com/corteva/rioxarray](https://github.com/corteva/rioxarray)  
-1.75 stars per week over 190 weeks  
-333 stars, 56 forks, 12 watches  
-created 2019-04-16, last commit 2022-11-29, main language Python  
-<sub><sup>gdal, geospatial, gis, hacktoberfest, netcdf, python, raster, rasterio, xarray</sup></sub>
+### [felicette](https://github.com/plant99/felicette) by [plant99](https://github.com/plant99)  
+felicette: Satellite imagery for dummies.  
+[https://github.com/plant99/felicette](https://github.com/plant99/felicette)  
+13 stars per week over 138 weeks  
+1,796 stars, 85 forks, 39 watches  
+created 2020-07-12, last commit 2021-09-08, main language Python  
+<sub><sup>earth-observation, earth-science, geoinformatics, geospatial, geospatial-data, geospatial-visualization, gis, python, python3, satellite-data, satellite-imagery, satellite-images</sup></sub>
 
 
-### [DeepForest](https://github.com/weecology/deepforest) by [weecology](https://github.com/weecology)  
-DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery  
-[https://deepforest.readthedocs.io/](https://deepforest.readthedocs.io/)  
-[https://github.com/weecology/deepforest](https://github.com/weecology/deepforest)  
-1.29 stars per week over 248 weeks  
-319 stars, 120 forks, 15 watches  
-created 2018-03-07, last commit 2022-12-02, main language JavaScript  
+### [cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings) by [cgal](https://github.com/cgal)  
+cgal-swig-bindings: CGAL bindings using SWIG  
+[https://github.com/cgal/cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings)  
+0.64 stars per week over 416 weeks  
+266 stars, 80 forks, 26 watches  
+created 2015-03-14, last commit 2023-03-01, main language C++  
 
 
-### [OWSLib](https://github.com/geopython/owslib) by [geopython](https://github.com/geopython)  
-OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.  
-[https://geopython.github.io/OWSLib](https://geopython.github.io/OWSLib)  
-[https://github.com/geopython/owslib](https://github.com/geopython/owslib)  
-0.55 stars per week over 568 weeks  
-313 stars, 257 forks, 31 watches  
-created 2012-01-13, last commit 2022-12-03, main language Python  
+### [pygeos](https://github.com/pygeos/pygeos)  
+pygeos: Wraps GEOS geometry functions in numpy ufuncs.  
+[https://pygeos.readthedocs.io](https://pygeos.readthedocs.io)  
+[https://github.com/pygeos/pygeos](https://github.com/pygeos/pygeos)  
+1.85 stars per week over 194 weeks  
+361 stars, 40 forks, 15 watches  
+created 2019-06-10, last commit 2022-12-14, main language Python  
 
 
-### [geolambda](https://github.com/developmentseed/geolambda) by [developmentseed](https://github.com/developmentseed)  
-geolambda: Create and deploy Geospatial AWS Lambda functions  
-[https://github.com/developmentseed/geolambda](https://github.com/developmentseed/geolambda)  
-0.95 stars per week over 292 weeks  
-277 stars, 84 forks, 50 watches  
-created 2017-05-02, last commit 2021-02-16, main language Dockerfile  
+### [pyogrio](https://github.com/geopandas/pyogrio) by [geopandas](https://github.com/geopandas)  
+pyogrio: Vectorized vector I/O using OGR  
+[https://pyogrio.readthedocs.io](https://pyogrio.readthedocs.io)  
+[https://github.com/geopandas/pyogrio](https://github.com/geopandas/pyogrio)  
+0.91 stars per week over 153 weeks  
+139 stars, 10 forks, 9 watches  
+created 2020-03-27, last commit 2023-02-08, main language Python  
 
 
-### [GeoTorch](https://github.com/datasystemslab/geotorch) by [datasystemslab](https://github.com/datasystemslab)  
-GeoTorch: A Spatiotemporal Deep Learning Framework  
-[https://kanchanchy.github.io/geotorch/](https://kanchanchy.github.io/geotorch/)  
-[https://github.com/datasystemslab/geotorch](https://github.com/datasystemslab/geotorch)  
-9.58 stars per week over 28 weeks  
-271 stars, 14 forks, 7 watches  
-created 2022-05-23, last commit 2022-11-27, main language Python  
-<sub><sup>classification-model, convlstm-pytorch, deep-learning, deep-neural-networks, deepsat, prediction-model, raster-data, satellite-classification, satellite-images, segmentation-models, sequence-models, spatial-data-analysis, spatio-temporal-analysis, spatio-temporal-models, spatio-temporal-prediction, st-resnet</sup></sub>
+### [geosnap](https://github.com/spatialucr/geosnap) by [spatialucr](https://github.com/spatialucr)  
+geosnap: The Geospatial Neighborhood Analysis Package  
+[https://spatialucr.github.io/geosnap-guide](https://spatialucr.github.io/geosnap-guide)  
+[https://github.com/spatialucr/geosnap](https://github.com/spatialucr/geosnap)  
+0.78 stars per week over 232 weeks  
+181 stars, 28 forks, 17 watches  
+created 2018-09-19, last commit 2023-01-25, main language Python  
 
 
-### [cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings) by [cgal](https://github.com/cgal)  
-cgal-swig-bindings: CGAL bindings using SWIG  
-[https://github.com/cgal/cgal-swig-bindings](https://github.com/cgal/cgal-swig-bindings)  
-0.62 stars per week over 403 weeks  
-251 stars, 78 forks, 26 watches  
-created 2015-03-14, last commit 2022-10-19, main language C++  
+### [verde](https://github.com/fatiando/verde) by [fatiando](https://github.com/fatiando)  
+verde: Processing and interpolating spatial data with a twist of machine learning  
+[https://www.fatiando.org/verde](https://www.fatiando.org/verde)  
+[https://github.com/fatiando/verde](https://github.com/fatiando/verde)  
+1.87 stars per week over 253 weeks  
+474 stars, 59 forks, 21 watches  
+created 2018-04-25, last commit 2022-12-09, main language Python  
+<sub><sup>earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, python, python3, scipy, scipy-stack</sup></sub>
 
 
-### [pyesridump](https://github.com/openaddresses/pyesridump) by [openaddresses](https://github.com/openaddresses)  
-pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.  
-[https://github.com/openaddresses/pyesridump](https://github.com/openaddresses/pyesridump)  
-0.52 stars per week over 469 weeks  
-243 stars, 59 forks, 16 watches  
-created 2013-12-06, last commit 2022-06-19, main language Python  
+### [osmnx-examples](https://github.com/gboeing/osmnx-examples) by [gboeing](https://github.com/gboeing)  
+osmnx-examples: Usage examples, demos, and tutorials for OSMnx.  
+[https://github.com/gboeing/osmnx](https://github.com/gboeing/osmnx)  
+[https://github.com/gboeing/osmnx-examples](https://github.com/gboeing/osmnx-examples)  
+4.18 stars per week over 293 weeks  
+1,224 stars, 449 forks, 54 watches  
+created 2017-07-22, last commit 2023-01-01, main language Jupyter Notebook  
+<sub><sup>accessibility, binder, cities, city, jupyter-notebook, network-analysis, notebooks, openstreetmap, public-transport, python, street-networks, transit, transport, transportation, urban-analytics, urban-data-science, urban-design, urban-planning</sup></sub>
 
 
-### [rio-cogeo](https://github.com/cogeotiff/rio-cogeo) by [cogeotiff](https://github.com/cogeotiff)  
-rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio  
-[https://cogeotiff.github.io/rio-cogeo/](https://cogeotiff.github.io/rio-cogeo/)  
-[https://github.com/cogeotiff/rio-cogeo](https://github.com/cogeotiff/rio-cogeo)  
-0.86 stars per week over 247 weeks  
-212 stars, 30 forks, 44 watches  
-created 2018-03-09, last commit 2022-10-26, main language Python  
-<sub><sup>cog, cogeotiff, geotiff, rasterio, satellite</sup></sub>
+### [rtree](https://github.com/toblerity/rtree) by [toblerity](https://github.com/toblerity)  
+Rtree: spatial index for Python GIS ¶  
+[https://rtree.readthedocs.io/en/latest/](https://rtree.readthedocs.io/en/latest/)  
+[https://github.com/toblerity/rtree](https://github.com/toblerity/rtree)  
+0.86 stars per week over 611 weeks  
+527 stars, 123 forks, 30 watches  
+created 2011-06-19, last commit 2023-01-23, main language Python  
 
 
-### [richdem](https://github.com/r-barnes/richdem) by [r-barnes](https://github.com/r-barnes)  
-richdem: High-performance Terrain and Hydrology Analysis   
-[https://github.com/r-barnes/richdem](https://github.com/r-barnes/richdem)  
-0.37 stars per week over 517 weeks  
-194 stars, 57 forks, 14 watches  
-created 2013-01-06, last commit 2022-11-18, main language C++  
-<sub><sup>big-data, digital-elevation-model, geosciences, geospatial, hydrologic-modeling, hydrology</sup></sub>
+### [geoviews](https://github.com/holoviz/geoviews) by [holoviz](https://github.com/holoviz)  
+geoviews: Simple, concise geographical visualization in Python  
+[http://geoviews.org](http://geoviews.org)  
+[https://github.com/holoviz/geoviews](https://github.com/holoviz/geoviews)  
+1.28 stars per week over 358 weeks  
+460 stars, 68 forks, 28 watches  
+created 2016-04-19, last commit 2023-01-17, main language Python  
+<sub><sup>cartopy, geographic-visualizations, geoviews, holoviews, holoviz, plotting</sup></sub>
 
 
 ### [deepparse](https://github.com/graal-research/deepparse) by [graal-research](https://github.com/graal-research)  
 Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning  
 [https://deepparse.org/](https://deepparse.org/)  
 [https://github.com/graal-research/deepparse](https://github.com/graal-research/deepparse)  
-1.46 stars per week over 127 weeks  
-186 stars, 23 forks, 4 watches  
-created 2020-07-01, last commit 2022-12-01, main language Python  
+1.48 stars per week over 139 weeks  
+207 stars, 24 forks, 4 watches  
+created 2020-07-01, last commit 2023-02-23, main language Python  
 <sub><sup>addresses-parsing, machine-learning, python</sup></sub>
 
 
-### [spopt](https://github.com/pysal/spopt) by [pysal](https://github.com/pysal)  
-spopt: Spatial Optimization  
-[https://pysal.org/spopt/](https://pysal.org/spopt/)  
-[https://github.com/pysal/spopt](https://github.com/pysal/spopt)  
-0.93 stars per week over 196 weeks  
-182 stars, 30 forks, 13 watches  
-created 2019-03-01, last commit 2022-11-21, main language Python  
-<sub><sup>facility-location, location-allocation, location-modeling, python, regionalization, resource-planning, routing, spatial-analysis, spatial-optimization, transportation</sup></sub>
+### [cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic) by [developmentseed](https://github.com/developmentseed)  
+cogeo-mosaic: Create and use COG mosaic based on mosaicJSON  
+[https://developmentseed.org/cogeo-mosaic/](https://developmentseed.org/cogeo-mosaic/)  
+[https://github.com/developmentseed/cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic)  
+0.39 stars per week over 198 weeks  
+78 stars, 21 forks, 8 watches  
+created 2019-05-14, last commit 2023-03-03, main language Python  
 
 
-### [Polygonization-by-Frame-Field-Learning](https://github.com/lydorn/polygonization-by-frame-field-learning) by [lydorn](https://github.com/lydorn)  
-Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.  
-[https://github.com/lydorn/polygonization-by-frame-field-learning](https://github.com/lydorn/polygonization-by-frame-field-learning)  
-1.34 stars per week over 132 weeks  
-177 stars, 50 forks, 11 watches  
-created 2020-05-26, last commit 2021-07-08, main language Python  
-<sub><sup>field, frame, polygonization, remote, segmentation, sensing</sup></sub>
+### [contextily](https://github.com/geopandas/contextily) by [geopandas](https://github.com/geopandas)  
+contextily: Context geo-tiles in Python  
+[https://contextily.readthedocs.io/en/latest/](https://contextily.readthedocs.io/en/latest/)  
+[https://github.com/geopandas/contextily](https://github.com/geopandas/contextily)  
+1.14 stars per week over 338 weeks  
+387 stars, 68 forks, 14 watches  
+created 2016-09-08, last commit 2023-02-06, main language Jupyter Notebook  
+<sub><sup>cartography, geography, mapping, matplotlib, openstreetmap, osm, python, stamen, stamen-maps, tile, tiles, webtiles</sup></sub>
 
 
-### [geosnap](https://github.com/spatialucr/geosnap) by [spatialucr](https://github.com/spatialucr)  
-geosnap: The Geospatial Neighborhood Analysis Package  
-[https://spatialucr.github.io/geosnap-guide](https://spatialucr.github.io/geosnap-guide)  
-[https://github.com/spatialucr/geosnap](https://github.com/spatialucr/geosnap)  
-0.8 stars per week over 220 weeks  
-175 stars, 28 forks, 17 watches  
-created 2018-09-19, last commit 2022-10-24, main language Python  
+### [spherely](https://github.com/benbovy/spherely) by [benbovy](https://github.com/benbovy)  
+spherely: Manipulation and analysis of geometric objects on the sphere.  
+[https://spherely.readthedocs.io/](https://spherely.readthedocs.io/)  
+[https://github.com/benbovy/spherely](https://github.com/benbovy/spherely)  
+5.68 stars per week over 14 weeks  
+82 stars, 2 forks, 4 watches  
+created 2022-11-24, last commit 2023-01-12, main language C++  
 
 
-### [boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api) by [bowenc0221](https://github.com/bowenc0221)  
-boundary-iou-api: Boundary IoU API (Beta version)  
-[https://github.com/bowenc0221/boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api)  
-1.97 stars per week over 88 weeks  
-174 stars, 17 forks, 8 watches  
-created 2021-03-29, last commit 2021-04-05, main language Python  
+### [xyzservices](https://github.com/geopandas/xyzservices) by [geopandas](https://github.com/geopandas)  
+xyzservices: Source of XYZ tiles providers  
+[https://xyzservices.readthedocs.io/](https://xyzservices.readthedocs.io/)  
+[https://github.com/geopandas/xyzservices](https://github.com/geopandas/xyzservices)  
+0.93 stars per week over 93 weeks  
+87 stars, 19 forks, 11 watches  
+created 2021-05-21, last commit 2023-03-01, main language Python  
 
 
-### [address-net](https://github.com/jasonrig/address-net) by [jasonrig](https://github.com/jasonrig)  
-address-net: A package to structure Australian addresses  
-[https://github.com/jasonrig/address-net](https://github.com/jasonrig/address-net)  
-0.82 stars per week over 209 weeks  
-171 stars, 71 forks, 13 watches  
-created 2018-12-05, last commit 2020-09-09, main language Python  
-<sub><sup>address-parser, deep-learning, machine-learning, rnn</sup></sub>
+### [mordecai](https://github.com/openeventdata/mordecai) by [openeventdata](https://github.com/openeventdata)  
+mordecai: Full text geoparsing as a Python library  
+[https://github.com/openeventdata/mordecai](https://github.com/openeventdata/mordecai)  
+1.99 stars per week over 349 weeks  
+694 stars, 93 forks, 36 watches  
+created 2016-06-23, last commit 2021-02-01, main language Python  
+<sub><sup>geocoding, geonames, geoparsing, nlp, spacy, toponym-resolution</sup></sub>
 
 
-### [peartree](https://github.com/kuanb/peartree) by [kuanb](https://github.com/kuanb)  
-peartree: A library for converting transit data into a directed graph for sketch network analysis.  
-[https://github.com/kuanb/peartree](https://github.com/kuanb/peartree)  
-0.61 stars per week over 264 weeks  
-160 stars, 13 forks, 11 watches  
-created 2017-11-12, last commit 2021-01-18, main language Python  
-<sub><sup>gis, graphs, gtfs, modeling, network-analysis, spatial-analysis, transit</sup></sub>
+### [radiant-mlhub](https://github.com/radiantearth/radiant-mlhub) by [radiantearth](https://github.com/radiantearth)  
+radiant-mlhub: A Python client for the Radiant MLHub API (https://mlhub.earth).  
+[https://radiant-mlhub.readthedocs.io/](https://radiant-mlhub.readthedocs.io/)  
+[https://github.com/radiantearth/radiant-mlhub](https://github.com/radiantearth/radiant-mlhub)  
+0.37 stars per week over 124 weeks  
+46 stars, 10 forks, 5 watches  
+created 2020-10-13, last commit 2023-02-13, main language Python  
+<sub><sup>machine-learning, python, python-3, python-client, satellite-imagery, stac</sup></sub>
 
 
-### [pyogrio](https://github.com/geopandas/pyogrio) by [geopandas](https://github.com/geopandas)  
-pyogrio: Vectorized vector I/O using OGR  
-[https://pyogrio.readthedocs.io](https://pyogrio.readthedocs.io)  
-[https://github.com/geopandas/pyogrio](https://github.com/geopandas/pyogrio)  
-0.92 stars per week over 140 weeks  
-129 stars, 8 forks, 8 watches  
-created 2020-03-27, last commit 2022-11-14, main language Python  
+### [pyesridump](https://github.com/openaddresses/pyesridump) by [openaddresses](https://github.com/openaddresses)  
+pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.  
+[https://github.com/openaddresses/pyesridump](https://github.com/openaddresses/pyesridump)  
+0.54 stars per week over 482 weeks  
+260 stars, 60 forks, 16 watches  
+created 2013-12-06, last commit 2023-02-01, main language Python  
 
 
-### [geojson-pydantic](https://github.com/developmentseed/geojson-pydantic) by [developmentseed](https://github.com/developmentseed)  
-geojson-pydantic: Pydantic data models for the GeoJSON spec  
-[https://github.com/developmentseed/geojson-pydantic](https://github.com/developmentseed/geojson-pydantic)  
-0.85 stars per week over 132 weeks  
-113 stars, 27 forks, 11 watches  
-created 2020-05-21, last commit 2022-11-02, main language Python  
-<sub><sup>geojson, geojson-spec, pydantic</sup></sub>
+### [scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
+scikit-geometry: Scientific Python Geometric Algorithms Library  
+[https://scikit-geometry.github.io/scikit-geometry](https://scikit-geometry.github.io/scikit-geometry)  
+[https://github.com/scikit-geometry/scikit-geometry](https://github.com/scikit-geometry/scikit-geometry)  
+0.99 stars per week over 361 weeks  
+360 stars, 50 forks, 14 watches  
+created 2016-03-28, last commit 2022-10-14, main language Jupyter Notebook  
+<sub><sup>cgal, geometric-algorithms, geometry, python, wrapper</sup></sub>
 
 
-### [earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer) by [amazon-science](https://github.com/amazon-science)  
-earth-forecasting-transformer: Official implementation of Earthformer  
-[https://github.com/amazon-science/earth-forecasting-transformer](https://github.com/amazon-science/earth-forecasting-transformer)  
-9.03 stars per week over 12 weeks  
-111 stars, 19 forks, 7 watches  
-created 2022-09-12, last commit 2022-12-01, main language Jupyter Notebook  
+### [label-maker](https://github.com/developmentseed/label-maker) by [developmentseed](https://github.com/developmentseed)  
+label-maker: Data Preparation for Satellite Machine Learning  
+[http://devseed.com/label-maker/](http://devseed.com/label-maker/)  
+[https://github.com/developmentseed/label-maker](https://github.com/developmentseed/label-maker)  
+1.65 stars per week over 268 weeks  
+443 stars, 112 forks, 53 watches  
+created 2018-01-10, last commit 2020-11-19, main language Python  
+<sub><sup>computer-vision, data-preparation, deep-learning, keras, remote-sensing, satellite-imagery</sup></sub>
 
 
-### [raster4ml](https://github.com/remotesensinglab/raster4ml) by [remotesensinglab](https://github.com/remotesensinglab)  
-raster4ml: A geospatial raster processing library for machine learning  
-[https://raster4ml.readthedocs.io](https://raster4ml.readthedocs.io)  
-[https://github.com/remotesensinglab/raster4ml](https://github.com/remotesensinglab/raster4ml)  
-4.56 stars per week over 21 weeks  
-97 stars, 11 forks, 4 watches  
-created 2022-07-11, last commit 2022-11-01, main language Python  
-<sub><sup>agriculture-research, data-science, geospatial-data, machine-learning, python, remote-sensing, vegetation, vegetation-index</sup></sub>
+### [landsat-util](https://github.com/developmentseed/landsat-util) by [developmentseed](https://github.com/developmentseed)  
+landsat-util: A utility to search, download and process Landsat 8 satellite imagery  
+[https://github.com/developmentseed/landsat-util](https://github.com/developmentseed/landsat-util)  
+1.53 stars per week over 448 weeks  
+685 stars, 155 forks, 128 watches  
+created 2014-08-01, last commit 2018-07-30, main language Python  
 
 
-### [LOD2BuildingModel](https://github.com/gdaosu/lod2buildingmodel) by [gdaosu](https://github.com/gdaosu)  
-LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto  
-[https://github.com/gdaosu/lod2buildingmodel](https://github.com/gdaosu/lod2buildingmodel)  
-1.45 stars per week over 66 weeks  
-96 stars, 23 forks, 9 watches  
-created 2021-08-30, last commit 2022-07-21, main language Python  
+### [geoplot](https://github.com/residentmario/geoplot) by [residentmario](https://github.com/residentmario)  
+geoplot: High-level geospatial data visualization library for Python.  
+[https://residentmario.github.io/geoplot/index.html](https://residentmario.github.io/geoplot/index.html)  
+[https://github.com/residentmario/geoplot](https://github.com/residentmario/geoplot)  
+3.02 stars per week over 348 weeks  
+1,054 stars, 91 forks, 35 watches  
+created 2016-06-29, last commit 2022-03-18, main language Python  
+<sub><sup>geopandas, geospatial-data, geospatial-visualization, matplotlib, spatial-analysis</sup></sub>
 
 
-### [forestatrisk](https://github.com/ghislainv/forestatrisk) by [ghislainv](https://github.com/ghislainv)  
-forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation  
-[https://ecology.ghislainv.fr/forestatrisk](https://ecology.ghislainv.fr/forestatrisk)  
-[https://github.com/ghislainv/forestatrisk](https://github.com/ghislainv/forestatrisk)  
-0.3 stars per week over 313 weeks  
-95 stars, 20 forks, 4 watches  
-created 2016-12-01, last commit 2022-08-23, main language Python  
-<sub><sup>biodiversity-scenario, co2-emissions, deforestation, deforestation-risk, forecasting, forest-cover-change, ipbes, ipcc, land-use-change, protected-areas, python, redd, roads, spatial-analysis, spatial-autocorrelation, spatial-modelling, tropical-forests</sup></sub>
+### [mercantile](https://github.com/mapbox/mercantile) by [mapbox](https://github.com/mapbox)  
+mercantile: Spherical mercator tile and coordinate utilities  
+[https://github.com/mapbox/mercantile](https://github.com/mapbox/mercantile)  
+0.74 stars per week over 472 weeks  
+349 stars, 61 forks, 117 watches  
+created 2014-02-12, last commit 2021-10-22, main language Python  
+<sub><sup>imagery, pxm, satellite</sup></sub>
+
+
+### [dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+googlecloudplatform/dataflow-geobeam  
+[https://github.com/googlecloudplatform/dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam)  
+0.62 stars per week over 108 weeks  
+67 stars, 25 forks, 10 watches  
+created 2021-02-04, last commit 2022-11-29, main language Python  
 
 
 ### [gds_env](https://github.com/darribas/gds_env) by [darribas](https://github.com/darribas)  
 gds_env: A containerised platform for Geographic Data Science  
 [https://darribas.org/gds_env](https://darribas.org/gds_env)  
 [https://github.com/darribas/gds_env](https://github.com/darribas/gds_env)  
-0.28 stars per week over 329 weeks  
-93 stars, 36 forks, 10 watches  
-created 2016-08-12, last commit 2022-06-08, main language Jupyter Notebook  
+0.27 stars per week over 342 weeks  
+93 stars, 36 forks, 9 watches  
+created 2016-08-12, last commit 2022-12-09, main language Jupyter Notebook  
 <sub><sup>docker, geographic-data-science, jupyter-lab, latex, python, r</sup></sub>
 
 
 ### [PolyWorldPretrainedNetwork](https://github.com/zorzi-s/polyworldpretrainednetwork) by [zorzi-s](https://github.com/zorzi-s)  
 PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images  
 [https://github.com/zorzi-s/polyworldpretrainednetwork](https://github.com/zorzi-s/polyworldpretrainednetwork)  
-2.38 stars per week over 37 weeks  
-88 stars, 13 forks, 7 watches  
+2.02 stars per week over 49 weeks  
+100 stars, 15 forks, 7 watches  
 created 2022-03-23, last commit 2022-11-10, main language Python  
 
 
-### [area](https://github.com/scisco/area) by [scisco](https://github.com/scisco)  
-area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python  
-[https://github.com/scisco/area](https://github.com/scisco/area)  
-0.23 stars per week over 367 weeks  
-86 stars, 19 forks, 3 watches  
-created 2015-11-25, last commit 2018-10-31, main language Python  
+### [richdem](https://github.com/r-barnes/richdem) by [r-barnes](https://github.com/r-barnes)  
+richdem: High-performance Terrain and Hydrology Analysis   
+[https://github.com/r-barnes/richdem](https://github.com/r-barnes/richdem)  
+0.38 stars per week over 530 weeks  
+201 stars, 59 forks, 14 watches  
+created 2013-01-06, last commit 2022-11-18, main language C++  
+<sub><sup>big-data, digital-elevation-model, geosciences, geospatial, hydrologic-modeling, hydrology</sup></sub>
 
 
-### [xyzservices](https://github.com/geopandas/xyzservices) by [geopandas](https://github.com/geopandas)  
-xyzservices: Source of XYZ tiles providers  
-[https://xyzservices.readthedocs.io/](https://xyzservices.readthedocs.io/)  
-[https://github.com/geopandas/xyzservices](https://github.com/geopandas/xyzservices)  
-1.0 stars per week over 80 weeks  
-81 stars, 19 forks, 11 watches  
-created 2021-05-21, last commit 2022-12-01, main language Python  
+### [raster4ml](https://github.com/remotesensinglab/raster4ml) by [remotesensinglab](https://github.com/remotesensinglab)  
+raster4ml: A geospatial raster processing library for machine learning  
+[https://raster4ml.readthedocs.io](https://raster4ml.readthedocs.io)  
+[https://github.com/remotesensinglab/raster4ml](https://github.com/remotesensinglab/raster4ml)  
+3.13 stars per week over 33 weeks  
+106 stars, 12 forks, 4 watches  
+created 2022-07-11, last commit 2022-11-01, main language Python  
+<sub><sup>agriculture-research, data-science, geospatial-data, machine-learning, python, remote-sensing, vegetation, vegetation-index</sup></sub>
 
 
-### [projectRegularization](https://github.com/zorzi-s/projectregularization) by [zorzi-s](https://github.com/zorzi-s)  
-projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses  
-[https://github.com/zorzi-s/projectregularization](https://github.com/zorzi-s/projectregularization)  
-0.99 stars per week over 81 weeks  
-80 stars, 7 forks, 2 watches  
-created 2021-05-18, last commit 2021-09-17, main language Python  
+### [LOD2BuildingModel](https://github.com/gdaosu/lod2buildingmodel) by [gdaosu](https://github.com/gdaosu)  
+LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto  
+[https://github.com/gdaosu/lod2buildingmodel](https://github.com/gdaosu/lod2buildingmodel)  
+1.32 stars per week over 78 weeks  
+104 stars, 23 forks, 9 watches  
+created 2021-08-30, last commit 2022-07-21, main language Python  
 
 
-### [cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic) by [developmentseed](https://github.com/developmentseed)  
-cogeo-mosaic: Create and use COG mosaic based on mosaicJSON  
-[https://developmentseed.org/cogeo-mosaic/](https://developmentseed.org/cogeo-mosaic/)  
-[https://github.com/developmentseed/cogeo-mosaic](https://github.com/developmentseed/cogeo-mosaic)  
-0.37 stars per week over 186 weeks  
-69 stars, 19 forks, 8 watches  
-created 2019-05-14, last commit 2022-11-21, main language Python  
+### [geolambda](https://github.com/developmentseed/geolambda) by [developmentseed](https://github.com/developmentseed)  
+geolambda: Create and deploy Geospatial AWS Lambda functions  
+[https://github.com/developmentseed/geolambda](https://github.com/developmentseed/geolambda)  
+0.93 stars per week over 304 weeks  
+282 stars, 85 forks, 50 watches  
+created 2017-05-02, last commit 2021-02-16, main language Dockerfile  
 
 
-### [dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam) by [googlecloudplatform](https://github.com/googlecloudplatform)  
-googlecloudplatform/dataflow-geobeam  
-[https://github.com/googlecloudplatform/dataflow-geobeam](https://github.com/googlecloudplatform/dataflow-geobeam)  
-0.64 stars per week over 95 weeks  
-61 stars, 25 forks, 9 watches  
-created 2021-02-04, last commit 2022-11-29, main language Python  
+### [forestatrisk](https://github.com/ghislainv/forestatrisk) by [ghislainv](https://github.com/ghislainv)  
+forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation  
+[https://ecology.ghislainv.fr/forestatrisk](https://ecology.ghislainv.fr/forestatrisk)  
+[https://github.com/ghislainv/forestatrisk](https://github.com/ghislainv/forestatrisk)  
+0.29 stars per week over 326 weeks  
+96 stars, 21 forks, 4 watches  
+created 2016-12-01, last commit 2022-08-23, main language Python  
+<sub><sup>biodiversity-scenario, co2-emissions, deforestation, deforestation-risk, forecasting, forest-cover-change, ipbes, ipcc, land-use-change, protected-areas, python, redd, roads, spatial-analysis, spatial-autocorrelation, spatial-modelling, tropical-forests</sup></sub>
+
+
+### [peartree](https://github.com/kuanb/peartree) by [kuanb](https://github.com/kuanb)  
+peartree: A library for converting transit data into a directed graph for sketch network analysis.  
+[https://github.com/kuanb/peartree](https://github.com/kuanb/peartree)  
+0.69 stars per week over 277 weeks  
+192 stars, 17 forks, 13 watches  
+created 2017-11-12, last commit 2021-01-18, main language Python  
+<sub><sup>gis, graphs, gtfs, modeling, network-analysis, spatial-analysis, transit</sup></sub>
 
 
 ### [easystac](https://github.com/cloudsen12/easystac) by [cloudsen12](https://github.com/cloudsen12)  
 easystac: A Python package for simple STAC queries  
 [https://easystac.readthedocs.io/](https://easystac.readthedocs.io/)  
 [https://github.com/cloudsen12/easystac](https://github.com/cloudsen12/easystac)  
-1.24 stars per week over 45 weeks  
-57 stars, 1 forks, 3 watches  
+1.03 stars per week over 58 weeks  
+60 stars, 1 forks, 3 watches  
 created 2022-01-20, last commit 2022-08-07, main language Python  
 <sub><sup>earth-observation, gis, planetary-computer, python, python3, radiant, remote-sensing, spatio-temporal, spatio-temporal-data, stac</sup></sub>
 
 
-### [mapalignment](https://github.com/lydorn/mapalignment) by [lydorn](https://github.com/lydorn)  
-mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images  
-[https://github.com/lydorn/mapalignment](https://github.com/lydorn/mapalignment)  
-0.24 stars per week over 222 weeks  
-54 stars, 14 forks, 4 watches  
-created 2018-09-05, last commit 2020-09-03, main language Python  
+### [BoundaryVT](https://github.com/edomel/boundaryvt) by [edomel](https://github.com/edomel)  
+edomel/boundaryvt  
+[https://github.com/edomel/boundaryvt](https://github.com/edomel/boundaryvt)  
+0.03 stars per week over 31 weeks  
+1 stars, 0 forks, 2 watches  
+created 2022-07-29, last commit 2023-02-24, main language Python  
 
 
-### [geonetworkx](https://github.com/artelys/geonetworkx) by [artelys](https://github.com/artelys)  
-geonetworkx: Python tools for geographic graphs  
-[https://github.com/artelys/geonetworkx](https://github.com/artelys/geonetworkx)  
-0.18 stars per week over 162 weeks  
-30 stars, 1 forks, 7 watches  
-created 2019-10-24, last commit 2021-06-28, main language Python  
+### [Polygonization-by-Frame-Field-Learning](https://github.com/lydorn/polygonization-by-frame-field-learning) by [lydorn](https://github.com/lydorn)  
+Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.  
+[https://github.com/lydorn/polygonization-by-frame-field-learning](https://github.com/lydorn/polygonization-by-frame-field-learning)  
+1.49 stars per week over 144 weeks  
+215 stars, 54 forks, 11 watches  
+created 2020-05-26, last commit 2022-12-09, main language Python  
+<sub><sup>field, frame, polygonization, remote, segmentation, sensing</sup></sub>
+
+
+### [address-net](https://github.com/jasonrig/address-net) by [jasonrig](https://github.com/jasonrig)  
+address-net: A package to structure Australian addresses  
+[https://github.com/jasonrig/address-net](https://github.com/jasonrig/address-net)  
+0.79 stars per week over 221 weeks  
+176 stars, 72 forks, 13 watches  
+created 2018-12-05, last commit 2020-09-09, main language Python  
+<sub><sup>address-parser, deep-learning, machine-learning, rnn</sup></sub>
 
 
 ### [mapcompare](https://github.com/gregorhd/mapcompare) by [gregorhd](https://github.com/gregorhd)  
 mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.  
 [https://github.com/gregorhd/mapcompare](https://github.com/gregorhd/mapcompare)  
-0.35 stars per week over 80 weeks  
+0.3 stars per week over 93 weeks  
 28 stars, 0 forks, 2 watches  
 created 2021-05-21, last commit 2022-12-03, main language Python  
 <sub><sup>comparison, data-visualisation, data-viz, interactive-visualisations, sample-visualisation, urban-data-science, visualisation-libraries</sup></sub>
 
 
-### [MapRepair](https://github.com/zorzi-s/maprepair) by [zorzi-s](https://github.com/zorzi-s)  
-MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images  
-[https://github.com/zorzi-s/maprepair](https://github.com/zorzi-s/maprepair)  
-0.13 stars per week over 122 weeks  
-16 stars, 4 forks, 2 watches  
-created 2020-07-30, last commit 2021-05-17, main language Python  
+### [boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api) by [bowenc0221](https://github.com/bowenc0221)  
+boundary-iou-api: Boundary IoU API (Beta version)  
+[https://github.com/bowenc0221/boundary-iou-api](https://github.com/bowenc0221/boundary-iou-api)  
+1.77 stars per week over 100 weeks  
+179 stars, 19 forks, 8 watches  
+created 2021-03-29, last commit 2021-04-05, main language Python  
+
+
+### [geonetworkx](https://github.com/artelys/geonetworkx) by [artelys](https://github.com/artelys)  
+geonetworkx: Python tools for geographic graphs  
+[https://github.com/artelys/geonetworkx](https://github.com/artelys/geonetworkx)  
+0.17 stars per week over 175 weeks  
+29 stars, 1 forks, 7 watches  
+created 2019-10-24, last commit 2021-06-28, main language Python  
+
+
+### [projectRegularization](https://github.com/zorzi-s/projectregularization) by [zorzi-s](https://github.com/zorzi-s)  
+projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses  
+[https://github.com/zorzi-s/projectregularization](https://github.com/zorzi-s/projectregularization)  
+0.88 stars per week over 93 weeks  
+82 stars, 8 forks, 2 watches  
+created 2021-05-18, last commit 2021-09-17, main language Python  
+
+
+### [area](https://github.com/scisco/area) by [scisco](https://github.com/scisco)  
+area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python  
+[https://github.com/scisco/area](https://github.com/scisco/area)  
+0.23 stars per week over 379 weeks  
+87 stars, 20 forks, 3 watches  
+created 2015-11-25, last commit 2018-10-31, main language Python  
+
+
+### [mapalignment](https://github.com/lydorn/mapalignment) by [lydorn](https://github.com/lydorn)  
+mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images  
+[https://github.com/lydorn/mapalignment](https://github.com/lydorn/mapalignment)  
+0.25 stars per week over 234 weeks  
+58 stars, 14 forks, 4 watches  
+created 2018-09-05, last commit 2020-09-03, main language Python  
 
 
 ### [wagyu](https://github.com/lycantropos/wagyu) by [lycantropos](https://github.com/lycantropos)  
 wagyu: Python port of mapbox/wagyu library (with separate C++ binding)  
 [https://github.com/mapbox/wagyu](https://github.com/mapbox/wagyu)  
 [https://github.com/lycantropos/wagyu](https://github.com/lycantropos/wagyu)  
-0.02 stars per week over 127 weeks  
+0.02 stars per week over 139 weeks  
 3 stars, 2 forks, 1 watches  
 created 2020-06-30, last commit 2020-11-21, main language Python  
 
 
-### [BoundaryVT](https://github.com/edomel/boundaryvt) by [edomel](https://github.com/edomel)  
-edomel/boundaryvt  
-[https://github.com/edomel/boundaryvt](https://github.com/edomel/boundaryvt)  
-0.11 stars per week over 18 weeks  
-2 stars, 0 forks, 2 watches  
-created 2022-07-29, last commit 2022-09-29, main language Python  
+### [MapRepair](https://github.com/zorzi-s/maprepair) by [zorzi-s](https://github.com/zorzi-s)  
+MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images  
+[https://github.com/zorzi-s/maprepair](https://github.com/zorzi-s/maprepair)  
+0.13 stars per week over 135 weeks  
+17 stars, 4 forks, 2 watches  
+created 2020-07-30, last commit 2021-05-17, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/graph.md b/categories/graph.md
index 7fe8b89..9804d92 100644
--- a/categories/graph.md
+++ b/categories/graph.md
@@ -9,9 +9,9 @@ Checkout the interactive version that you can filter and sort:
 networkx: Network Analysis in Python  
 [https://networkx.org](https://networkx.org)  
 [https://github.com/networkx/networkx](https://github.com/networkx/networkx)  
-18 stars per week over 639 weeks  
-11,918 stars, 2,797 forks, 276 watches  
-created 2010-09-06, last commit 2022-12-06, main language Python  
+18 stars per week over 651 weeks  
+12,291 stars, 2,850 forks, 280 watches  
+created 2010-09-06, last commit 2023-03-02, main language Python  
 <sub><sup>complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, python</sup></sub>
 
 
@@ -19,8 +19,8 @@ created 2010-09-06, last commit 2022-12-06, main language Python
 StellarGraph - Machine Learning on Graphs  
 [https://stellargraph.readthedocs.io/](https://stellargraph.readthedocs.io/)  
 [https://github.com/stellargraph/stellargraph](https://github.com/stellargraph/stellargraph)  
-10 stars per week over 242 weeks  
-2,562 stars, 395 forks, 62 watches  
+10 stars per week over 255 weeks  
+2,637 stars, 401 forks, 61 watches  
 created 2018-04-13, last commit 2021-10-29, main language Python  
 <sub><sup>data-science, deep-learning, gcn, geometric-deep-learning, graph-analysis, graph-convolutional-networks, graph-data, graph-machine-learning, graph-neural-networks, graphs, heterogeneous-networks, interpretability, link-prediction, machine-learning, machine-learning-algorithms, networkx, python, saliency-map, stellargraph-library</sup></sub>
 
@@ -29,9 +29,9 @@ created 2018-04-13, last commit 2021-10-29, main language Python
 pyvis: Python package for creating and visualizing interactive network graphs.  
 [http://pyvis.readthedocs.io/en/latest/](http://pyvis.readthedocs.io/en/latest/)  
 [https://github.com/westhealth/pyvis](https://github.com/westhealth/pyvis)  
-2.42 stars per week over 238 weeks  
-577 stars, 109 forks, 13 watches  
-created 2018-05-10, last commit 2022-11-04, main language HTML  
+2.45 stars per week over 251 weeks  
+616 stars, 115 forks, 15 watches  
+created 2018-05-10, last commit 2023-02-10, main language HTML  
 <sub><sup>network-visualization, networkx, python</sup></sub>
 
 
@@ -39,8 +39,8 @@ created 2018-05-10, last commit 2022-11-04, main language HTML
 graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.  
 [https://pypi.org/project/graph-force/](https://pypi.org/project/graph-force/)  
 [https://github.com/h4kor/graph-force](https://github.com/h4kor/graph-force)  
-118 stars per week over 1 weeks  
-152 stars, 0 forks, 9 watches  
+11 stars per week over 13 weeks  
+164 stars, 0 forks, 9 watches  
 created 2022-11-28, last commit 2022-11-28, main language Rust  
 <sub><sup>force-directed-graphs, graph-algorithms, python, python3</sup></sub>
 
@@ -48,13 +48,13 @@ created 2022-11-28, last commit 2022-11-28, main language Rust
 ### [markov_clustering](https://github.com/guyallard/markov_clustering) by [guyallard](https://github.com/guyallard)  
 markov_clustering: markov clustering in python  
 [https://github.com/guyallard/markov_clustering](https://github.com/guyallard/markov_clustering)  
-0.49 stars per week over 271 weeks  
-132 stars, 33 forks, 9 watches  
+0.47 stars per week over 283 weeks  
+134 stars, 34 forks, 9 watches  
 created 2017-09-27, last commit 2018-12-11, main language Python  
 <sub><sup>clustering, markov-clustering, networks, python</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/gui.md b/categories/gui.md
index ed997e6..fd34b3d 100644
--- a/categories/gui.md
+++ b/categories/gui.md
@@ -6,11 +6,11 @@ Checkout the interactive version that you can filter and sort:
 
 
 ### [PySimpleGUI](https://github.com/pysimplegui/pysimplegui) by [pysimplegui](https://github.com/pysimplegui)  
-PySimpleGUI: Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive documentation.  Examples for Machine Learning(OpenCV Integration,  Chatterbot), Rainmeter-like Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers. docs -  PySimpleGUI.org GitHub - PySimpleGUI.com. The Minecraft of GUIs - simple to complex... does them all.  
+PySimpleGUI: Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs  
 [https://github.com/pysimplegui/pysimplegui](https://github.com/pysimplegui/pysimplegui)  
-47 stars per week over 230 weeks  
-10,910 stars, 1,623 forks, 219 watches  
-created 2018-07-11, last commit 2022-12-04, main language Python  
+46 stars per week over 242 weeks  
+11,304 stars, 1,684 forks, 218 watches  
+created 2018-07-11, last commit 2023-03-01, main language Python  
 <sub><sup>beginner-friendly, datavisualization, games, gui, gui-framework, gui-programming, gui-window, pyside2, pysimplegui, python, python-gui, qt, qt-gui, remi, systemtray, tkinter, tkinter-gui, tkinter-python, user-interface, wxpython</sup></sub>
 
 
@@ -18,9 +18,9 @@ created 2018-07-11, last commit 2022-12-04, main language Python
 DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies  
 [https://dearpygui.readthedocs.io/en/latest/](https://dearpygui.readthedocs.io/en/latest/)  
 [https://github.com/hoffstadt/dearpygui](https://github.com/hoffstadt/dearpygui)  
-69 stars per week over 131 weeks  
-9,195 stars, 487 forks, 135 watches  
-created 2020-05-28, last commit 2022-12-01, main language C++  
+67 stars per week over 144 weeks  
+9,757 stars, 511 forks, 138 watches  
+created 2020-05-28, last commit 2023-03-02, main language C++  
 <sub><sup>cpp, cross-platform, dearpygui, graphics, gui, imgui, linux, macos, native, python, python-gui, toolkit, tools, ui, windows</sup></sub>
 
 
@@ -28,18 +28,18 @@ created 2020-05-28, last commit 2022-12-01, main language C++
 pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS  
 [https://pywebview.flowrl.com](https://pywebview.flowrl.com)  
 [https://github.com/r0x0r/pywebview](https://github.com/r0x0r/pywebview)  
-7.68 stars per week over 419 weeks  
-3,224 stars, 430 forks, 57 watches  
-created 2014-11-20, last commit 2022-12-05, main language Python  
+7.86 stars per week over 432 weeks  
+3,400 stars, 442 forks, 58 watches  
+created 2014-11-20, last commit 2023-02-28, main language Python  
 <sub><sup>cef, cocoa, gtk, gui, html, javascript, linux, osx, python, qt, webkit, windows</sup></sub>
 
 
 ### [remi](https://github.com/dddomodossola/remi) by [dddomodossola](https://github.com/dddomodossola)  
 remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.  
 [https://github.com/dddomodossola/remi](https://github.com/dddomodossola/remi)  
-6.98 stars per week over 454 weeks  
-3,177 stars, 388 forks, 119 watches  
-created 2014-03-20, last commit 2022-11-23, main language Python  
+6.91 stars per week over 467 weeks  
+3,232 stars, 394 forks, 121 watches  
+created 2014-03-20, last commit 2023-02-01, main language Python  
 <sub><sup>gui, gui-library, platform-independent, python, remi, ui</sup></sub>
 
 
@@ -47,13 +47,13 @@ created 2014-03-20, last commit 2022-11-23, main language Python
 Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.  
 [http://wxpython.org/](http://wxpython.org/)  
 [https://github.com/wxwidgets/phoenix](https://github.com/wxwidgets/phoenix)  
-3.51 stars per week over 542 weeks  
-1,905 stars, 488 forks, 105 watches  
-created 2012-07-17, last commit 2022-11-10, main language Python  
+3.52 stars per week over 554 weeks  
+1,953 stars, 496 forks, 104 watches  
+created 2012-07-17, last commit 2023-03-03, main language Python  
 <sub><sup>awesome, cross-platform, gui, gui-framework, gui-toolkit, linux, macosx, python, windows, wxpython, wxwidgets</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/jupyter.md b/categories/jupyter.md
index a293317..5bfcafc 100644
--- a/categories/jupyter.md
+++ b/categories/jupyter.md
@@ -9,9 +9,9 @@ Checkout the interactive version that you can filter and sort:
 JupyterLab computational environment.  
 [https://jupyterlab.readthedocs.io/](https://jupyterlab.readthedocs.io/)  
 [https://github.com/jupyterlab/jupyterlab](https://github.com/jupyterlab/jupyterlab)  
-36 stars per week over 339 weeks  
-12,496 stars, 2,506 forks, 312 watches  
-created 2016-06-03, last commit 2022-12-06, main language TypeScript  
+35 stars per week over 352 weeks  
+12,669 stars, 2,576 forks, 309 watches  
+created 2016-06-03, last commit 2023-03-04, main language TypeScript  
 <sub><sup>jupyter, jupyterlab</sup></sub>
 
 
@@ -19,47 +19,39 @@ created 2016-06-03, last commit 2022-12-06, main language TypeScript
 notebook: Jupyter Interactive Notebook  
 [https://jupyter-notebook.readthedocs.io/](https://jupyter-notebook.readthedocs.io/)  
 [https://github.com/jupyter/notebook](https://github.com/jupyter/notebook)  
-24 stars per week over 399 weeks  
-9,602 stars, 3,982 forks, 319 watches  
-created 2015-04-09, last commit 2022-12-06, main language Jupyter Notebook  
+23 stars per week over 412 weeks  
+9,808 stars, 4,017 forks, 321 watches  
+created 2015-04-09, last commit 2023-03-01, main language Jupyter Notebook  
 <sub><sup>closember, jupyter, jupyter-notebook, notebook</sup></sub>
 
 
+### [jupyterlite](https://github.com/jupyterlite/jupyterlite)  
+jupyterlite: Wasm powered Jupyter running in the browser 💡  
+[https://jupyterlite.rtfd.io/en/latest/try/lab](https://jupyterlite.rtfd.io/en/latest/try/lab)  
+[https://github.com/jupyterlite/jupyterlite](https://github.com/jupyterlite/jupyterlite)  
+30 stars per week over 101 weeks  
+3,096 stars, 194 forks, 43 watches  
+created 2021-03-27, last commit 2023-02-15, main language Python  
+<sub><sup>jupyter, jupyterlab, jupyterlab-extension, lite, pyodide, wasm, webassembly</sup></sub>
+
+
 ### [jupytext](https://github.com/mwouts/jupytext) by [mwouts](https://github.com/mwouts)  
 jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts  
 [https://jupytext.readthedocs.io](https://jupytext.readthedocs.io)  
 [https://github.com/mwouts/jupytext](https://github.com/mwouts/jupytext)  
-24 stars per week over 233 weeks  
-5,695 stars, 361 forks, 70 watches  
-created 2018-06-15, last commit 2022-11-12, main language Python  
+23 stars per week over 246 weeks  
+5,851 stars, 379 forks, 68 watches  
+created 2018-06-15, last commit 2023-02-25, main language Python  
 <sub><sup>hydrogen, jupyter-notebook, jupyterlab, jupyterlab-extension, knitr, markdown, notebooks, python, rmarkdown, rstudio, version-control</sup></sub>
 
 
-### [papermill](https://github.com/nteract/papermill) by [nteract](https://github.com/nteract)  
-papermill: 📚 Parameterize, execute, and analyze notebooks  
-[http://papermill.readthedocs.io/en/latest/](http://papermill.readthedocs.io/en/latest/)  
-[https://github.com/nteract/papermill](https://github.com/nteract/papermill)  
-17 stars per week over 282 weeks  
-5,021 stars, 378 forks, 91 watches  
-created 2017-07-06, last commit 2022-10-18, main language Python  
-<sub><sup>julia, jupyter, notebook, notebook-generator, notebooks, nteract, pipeline, publishing, python, r, scala</sup></sub>
-
-
-### [handcalcs](https://github.com/connorferster/handcalcs) by [connorferster](https://github.com/connorferster)  
-handcalcs: Python library for converting Python calculations into rendered latex.  
-[https://github.com/connorferster/handcalcs](https://github.com/connorferster/handcalcs)  
-34 stars per week over 146 weeks  
-4,975 stars, 391 forks, 76 watches  
-created 2020-02-19, last commit 2022-09-28, main language CSS  
-
-
 ### [voila](https://github.com/voila-dashboards/voila) by [voila-dashboards](https://github.com/voila-dashboards)  
 voila: Voilà turns Jupyter notebooks into standalone web applications  
 [https://voila.readthedocs.io](https://voila.readthedocs.io)  
 [https://github.com/voila-dashboards/voila](https://github.com/voila-dashboards/voila)  
-19 stars per week over 224 weeks  
-4,472 stars, 448 forks, 77 watches  
-created 2018-08-21, last commit 2022-11-30, main language Python  
+19 stars per week over 236 weeks  
+4,586 stars, 459 forks, 78 watches  
+created 2018-08-21, last commit 2023-03-03, main language Python  
 <sub><sup>dashboarding, jupyter, jupyter-notebook, jupyterlab-extension</sup></sub>
 
 
@@ -67,163 +59,171 @@ created 2018-08-21, last commit 2022-11-30, main language Python
 jupyter-book: Create beautiful, publication-quality books and documents from computational content.  
 [http://jupyterbook.org](http://jupyterbook.org)  
 [https://github.com/executablebooks/jupyter-book](https://github.com/executablebooks/jupyter-book)  
-13 stars per week over 233 weeks  
-3,149 stars, 582 forks, 63 watches  
-created 2018-06-14, last commit 2022-11-23, main language Python  
+13 stars per week over 246 weeks  
+3,257 stars, 614 forks, 60 watches  
+created 2018-06-14, last commit 2023-03-01, main language Python  
 <sub><sup>documentation-generator, jupyter, sphinx-doc</sup></sub>
 
 
-### [jupyterlite](https://github.com/jupyterlite/jupyterlite)  
-jupyterlite: Wasm powered Jupyter running in the browser 💡  
-[https://jupyterlite.rtfd.io/en/latest/try/lab](https://jupyterlite.rtfd.io/en/latest/try/lab)  
-[https://github.com/jupyterlite/jupyterlite](https://github.com/jupyterlite/jupyterlite)  
-33 stars per week over 88 weeks  
-2,932 stars, 177 forks, 43 watches  
-created 2021-03-27, last commit 2022-11-30, main language Python  
-<sub><sup>jupyter, jupyterlab, jupyterlab-extension, lite, pyodide, wasm, webassembly</sup></sub>
-
-
-### [qgrid](https://github.com/quantopian/qgrid) by [quantopian](https://github.com/quantopian)  
-qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks  
-[https://github.com/quantopian/qgrid](https://github.com/quantopian/qgrid)  
-6.82 stars per week over 427 weeks  
-2,915 stars, 416 forks, 89 watches  
-created 2014-09-30, last commit 2020-04-07, main language Python  
-
-
-### [nbdime](https://github.com/jupyter/nbdime) by [jupyter](https://github.com/jupyter)  
-nbdime: Tools for diffing and merging of Jupyter notebooks.  
-[http://nbdime.readthedocs.io](http://nbdime.readthedocs.io)  
-[https://github.com/jupyter/nbdime](https://github.com/jupyter/nbdime)  
-6.34 stars per week over 368 weeks  
-2,334 stars, 151 forks, 43 watches  
-created 2015-11-16, last commit 2022-11-24, main language Python  
-<sub><sup>diff, diffing, git, hg, jupyter, jupyter-notebook, jupyterlab-extension, mercurial, merge, merge-driver, mergetool, vcs, version-control</sup></sub>
-
-
 ### [jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop) by [jupyterlab](https://github.com/jupyterlab)  
 jupyterlab-desktop: JupyterLab desktop application, based on Electron.  
 [https://github.com/jupyterlab/jupyterlab-desktop](https://github.com/jupyterlab/jupyterlab-desktop)  
-6.98 stars per week over 291 weeks  
-2,038 stars, 211 forks, 43 watches  
-created 2017-05-04, last commit 2022-12-06, main language TypeScript  
+8.59 stars per week over 304 weeks  
+2,616 stars, 237 forks, 42 watches  
+created 2017-05-04, last commit 2023-02-24, main language TypeScript  
 <sub><sup>jupyter, jupyter-notebook, jupyterlab</sup></sub>
 
 
-### [nbviewer](https://github.com/jupyter/nbviewer) by [jupyter](https://github.com/jupyter)  
-nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages  
-[https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)  
-[https://github.com/jupyter/nbviewer](https://github.com/jupyter/nbviewer)  
-3.77 stars per week over 539 weeks  
-2,031 stars, 530 forks, 92 watches  
-created 2012-08-05, last commit 2022-11-07, main language Python  
-<sub><sup>jupyter, jupyter-notebook, nbconvert</sup></sub>
+### [handcalcs](https://github.com/connorferster/handcalcs) by [connorferster](https://github.com/connorferster)  
+handcalcs: Python library for converting Python calculations into rendered latex.  
+[https://github.com/connorferster/handcalcs](https://github.com/connorferster/handcalcs)  
+32 stars per week over 158 weeks  
+5,140 stars, 398 forks, 78 watches  
+created 2020-02-19, last commit 2022-12-27, main language CSS  
 
 
-### [ipyvolume](https://github.com/maartenbreddels/ipyvolume) by [maartenbreddels](https://github.com/maartenbreddels)  
-ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL  
-[https://github.com/maartenbreddels/ipyvolume](https://github.com/maartenbreddels/ipyvolume)  
-5.81 stars per week over 311 weeks  
-1,807 stars, 233 forks, 53 watches  
-created 2016-12-21, last commit 2022-07-26, main language TypeScript  
-<sub><sup>dataviz, ipython-widget, jupyter, jupyter-notebook, plotting, python, quiver, rendering-3d-volumes, scientific-visualization, threejs, virtual-reality, visualisation, volume-rendering, webgl</sup></sub>
+### [papermill](https://github.com/nteract/papermill) by [nteract](https://github.com/nteract)  
+papermill: 📚 Parameterize, execute, and analyze notebooks  
+[http://papermill.readthedocs.io/en/latest/](http://papermill.readthedocs.io/en/latest/)  
+[https://github.com/nteract/papermill](https://github.com/nteract/papermill)  
+17 stars per week over 295 weeks  
+5,130 stars, 388 forks, 91 watches  
+created 2017-07-06, last commit 2022-10-18, main language Python  
+<sub><sup>julia, jupyter, notebook, notebook-generator, notebooks, nteract, pipeline, publishing, python, r, scala</sup></sub>
+
+
+### [ipyvizzu](https://github.com/vizzuhq/ipyvizzu) by [vizzuhq](https://github.com/vizzuhq)  
+ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.  
+[https://ipyvizzu.vizzuhq.com](https://ipyvizzu.vizzuhq.com)  
+[https://github.com/vizzuhq/ipyvizzu](https://github.com/vizzuhq/ipyvizzu)  
+12 stars per week over 60 weeks  
+762 stars, 60 forks, 16 watches  
+created 2022-01-05, last commit 2023-03-01, main language Python  
+<sub><sup>animation, chart, charting, charts, data-visualization, dataviz, graphing, graphs, ipython, jupyter, jupyter-notebook, plotting, python, storytelling, vizzu</sup></sub>
 
 
 ### [nbconvert](https://github.com/jupyter/nbconvert) by [jupyter](https://github.com/jupyter)  
 nbconvert: Jupyter Notebook Conversion  
 [https://nbconvert.readthedocs.io/](https://nbconvert.readthedocs.io/)  
 [https://github.com/jupyter/nbconvert](https://github.com/jupyter/nbconvert)  
-3.54 stars per week over 399 weeks  
-1,415 stars, 509 forks, 50 watches  
-created 2015-04-09, last commit 2022-12-06, main language Python  
+3.52 stars per week over 412 weeks  
+1,451 stars, 512 forks, 51 watches  
+created 2015-04-09, last commit 2023-02-20, main language Python  
+
+
+### [ipyvolume](https://github.com/maartenbreddels/ipyvolume) by [maartenbreddels](https://github.com/maartenbreddels)  
+ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL  
+[https://github.com/maartenbreddels/ipyvolume](https://github.com/maartenbreddels/ipyvolume)  
+5.66 stars per week over 323 weeks  
+1,830 stars, 236 forks, 51 watches  
+created 2016-12-21, last commit 2023-02-25, main language TypeScript  
+<sub><sup>dataviz, ipython-widget, jupyter, jupyter-notebook, plotting, python, quiver, rendering-3d-volumes, scientific-visualization, threejs, virtual-reality, visualisation, volume-rendering, webgl</sup></sub>
 
 
 ### [jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp) by [jupyter-lsp](https://github.com/jupyter-lsp)  
 jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol  
 [https://github.com/jupyter-lsp/jupyterlab-lsp](https://github.com/jupyter-lsp/jupyterlab-lsp)  
-8.0 stars per week over 172 weeks  
-1,381 stars, 115 forks, 16 watches  
-created 2019-08-17, last commit 2022-09-28, main language TypeScript  
+7.75 stars per week over 185 weeks  
+1,434 stars, 119 forks, 17 watches  
+created 2019-08-17, last commit 2023-01-02, main language TypeScript  
 <sub><sup>autocompletion, ipython, julia-language, jupyter, jupyter-lab, jupyter-notebook, jupyterlab, jupyterlab-extension, language-server-protocol, linter, lsp, notebook, notebook-jupyter, r</sup></sub>
 
 
+### [nbQA](https://github.com/nbqa-dev/nbqa) by [nbqa-dev](https://github.com/nbqa-dev)  
+nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks  
+[https://nbqa.readthedocs.io/en/latest/index.html](https://nbqa.readthedocs.io/en/latest/index.html)  
+[https://github.com/nbqa-dev/nbqa](https://github.com/nbqa-dev/nbqa)  
+5.13 stars per week over 138 weeks  
+709 stars, 35 forks, 7 watches  
+created 2020-07-11, last commit 2023-02-27, main language Python  
+<sub><sup>black, codequality, doctest, flake8, isort, jupyter-notebook, lint, mypy, pre-commit, pre-commit-hook, pylint, python, pyupgrade, yapf</sup></sub>
+
+
+### [nbdime](https://github.com/jupyter/nbdime) by [jupyter](https://github.com/jupyter)  
+nbdime: Tools for diffing and merging of Jupyter notebooks.  
+[http://nbdime.readthedocs.io](http://nbdime.readthedocs.io)  
+[https://github.com/jupyter/nbdime](https://github.com/jupyter/nbdime)  
+6.25 stars per week over 380 weeks  
+2,382 stars, 156 forks, 44 watches  
+created 2015-11-16, last commit 2023-01-15, main language Python  
+<sub><sup>diff, diffing, git, hg, jupyter, jupyter-notebook, jupyterlab-extension, mercurial, merge, merge-driver, mergetool, vcs, version-control</sup></sub>
+
+
 ### [nbgrader](https://github.com/jupyter/nbgrader) by [jupyter](https://github.com/jupyter)  
 nbgrader: A system for assigning and grading notebooks  
 [https://nbgrader.readthedocs.io/](https://nbgrader.readthedocs.io/)  
 [https://github.com/jupyter/nbgrader](https://github.com/jupyter/nbgrader)  
-2.67 stars per week over 429 weeks  
-1,148 stars, 314 forks, 43 watches  
-created 2014-09-13, last commit 2022-11-30, main language Python  
+2.63 stars per week over 442 weeks  
+1,162 stars, 318 forks, 42 watches  
+created 2014-09-13, last commit 2023-03-03, main language Python  
 <sub><sup>grading, jupyter, jupyter-notebook, jupyterhub, nbgrader, teaching</sup></sub>
 
 
-### [ipyvizzu](https://github.com/vizzuhq/ipyvizzu) by [vizzuhq](https://github.com/vizzuhq)  
-ipyvizzu: Build animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.  
-[https://ipyvizzu.vizzuhq.com](https://ipyvizzu.vizzuhq.com)  
-[https://github.com/vizzuhq/ipyvizzu](https://github.com/vizzuhq/ipyvizzu)  
-14 stars per week over 48 weeks  
-706 stars, 56 forks, 14 watches  
-created 2022-01-05, last commit 2022-12-06, main language Python  
-<sub><sup>animation, chart, charting, charts, data-visualization, dataviz, graphing, graphs, ipython, jupyter, jupyter-notebook, plotting, python, storytelling, vizzu</sup></sub>
+### [nbviewer](https://github.com/jupyter/nbviewer) by [jupyter](https://github.com/jupyter)  
+nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages  
+[https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)  
+[https://github.com/jupyter/nbviewer](https://github.com/jupyter/nbviewer)  
+3.73 stars per week over 552 weeks  
+2,061 stars, 537 forks, 93 watches  
+created 2012-08-05, last commit 2023-01-27, main language Python  
+<sub><sup>jupyter, jupyter-notebook, nbconvert</sup></sub>
 
 
-### [nbQA](https://github.com/nbqa-dev/nbqa) by [nbqa-dev](https://github.com/nbqa-dev)  
-nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks  
-[https://nbqa.readthedocs.io/en/latest/index.html](https://nbqa.readthedocs.io/en/latest/index.html)  
-[https://github.com/nbqa-dev/nbqa](https://github.com/nbqa-dev/nbqa)  
-5.05 stars per week over 125 weeks  
-634 stars, 36 forks, 6 watches  
-created 2020-07-11, last commit 2022-11-21, main language Python  
-<sub><sup>black, codequality, doctest, flake8, isort, jupyter-notebook, lint, mypy, pre-commit, pre-commit-hook, pylint, python, pyupgrade, yapf</sup></sub>
+### [nbformat](https://github.com/jupyter/nbformat) by [jupyter](https://github.com/jupyter)  
+nbformat: Reference implementation of the Jupyter Notebook format  
+[http://nbformat.readthedocs.io/](http://nbformat.readthedocs.io/)  
+[https://github.com/jupyter/nbformat](https://github.com/jupyter/nbformat)  
+0.49 stars per week over 412 weeks  
+204 stars, 144 forks, 26 watches  
+created 2015-04-09, last commit 2023-03-01, main language Python  
 
 
-### [nbval](https://github.com/computationalmodelling/nbval) by [computationalmodelling](https://github.com/computationalmodelling)  
-nbval: A py.test plugin to validate Jupyter notebooks  
-[https://github.com/computationalmodelling/nbval](https://github.com/computationalmodelling/nbval)  
-0.98 stars per week over 399 weeks  
-391 stars, 51 forks, 10 watches  
-created 2015-04-09, last commit 2022-09-17, main language Python  
-<sub><sup>ipython-notebook, jupyter-notebook, pytest, pytest-plugin, python, testing</sup></sub>
+### [qgrid](https://github.com/quantopian/qgrid) by [quantopian](https://github.com/quantopian)  
+qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks  
+[https://github.com/quantopian/qgrid](https://github.com/quantopian/qgrid)  
+6.7 stars per week over 439 weeks  
+2,946 stars, 419 forks, 88 watches  
+created 2014-09-30, last commit 2020-04-07, main language Python  
 
 
 ### [testbook](https://github.com/nteract/testbook) by [nteract](https://github.com/nteract)  
 testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way  
 [https://testbook.readthedocs.io](https://testbook.readthedocs.io)  
 [https://github.com/nteract/testbook](https://github.com/nteract/testbook)  
-2.31 stars per week over 145 weeks  
-335 stars, 34 forks, 15 watches  
+2.19 stars per week over 157 weeks  
+345 stars, 38 forks, 15 watches  
 created 2020-02-26, last commit 2022-11-29, main language Python  
 <sub><sup>jupyter-notebook, nteract, pytest, python, testbook, unit-testing</sup></sub>
 
 
-### [jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard) by [chaoleili](https://github.com/chaoleili)  
-jupyterlab_tensorboard: Tensorboard extension for jupyterlab.  
-[https://github.com/chaoleili/jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard)  
-1.31 stars per week over 225 weeks  
-295 stars, 35 forks, 11 watches  
-created 2018-08-14, last commit 2022-07-18, main language TypeScript  
-<sub><sup>jupyterlab, jupyterlab-extension, tensorboard</sup></sub>
-
-
-### [nbformat](https://github.com/jupyter/nbformat) by [jupyter](https://github.com/jupyter)  
-nbformat: Reference implementation of the Jupyter Notebook format  
-[http://nbformat.readthedocs.io/](http://nbformat.readthedocs.io/)  
-[https://github.com/jupyter/nbformat](https://github.com/jupyter/nbformat)  
-0.48 stars per week over 399 weeks  
-193 stars, 142 forks, 26 watches  
-created 2015-04-09, last commit 2022-12-06, main language Python  
+### [nbval](https://github.com/computationalmodelling/nbval) by [computationalmodelling](https://github.com/computationalmodelling)  
+nbval: A py.test plugin to validate Jupyter notebooks  
+[https://github.com/computationalmodelling/nbval](https://github.com/computationalmodelling/nbval)  
+0.97 stars per week over 412 weeks  
+398 stars, 51 forks, 10 watches  
+created 2015-04-09, last commit 2023-01-11, main language Python  
+<sub><sup>ipython-notebook, jupyter-notebook, pytest, pytest-plugin, python, testing</sup></sub>
 
 
 ### [AutoProfiler](https://github.com/cmudig/autoprofiler) by [cmudig](https://github.com/cmudig)  
 AutoProfiler: Automatically profile dataframes in the Jupyter sidebar  
 [https://github.com/cmudig/autoprofiler](https://github.com/cmudig/autoprofiler)  
-2.14 stars per week over 36 weeks  
-79 stars, 4 forks, 1 watches  
-created 2022-03-24, last commit 2022-12-01, main language Svelte  
+1.9 stars per week over 49 weeks  
+94 stars, 5 forks, 1 watches  
+created 2022-03-24, last commit 2023-02-28, main language Svelte  
 <sub><sup>jupyter, pandas, python</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+### [jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard) by [chaoleili](https://github.com/chaoleili)  
+jupyterlab_tensorboard: Tensorboard extension for jupyterlab.  
+[https://github.com/chaoleili/jupyterlab_tensorboard](https://github.com/chaoleili/jupyterlab_tensorboard)  
+1.25 stars per week over 237 weeks  
+297 stars, 36 forks, 11 watches  
+created 2018-08-14, last commit 2022-07-18, main language TypeScript  
+<sub><sup>jupyterlab, jupyterlab-extension, tensorboard</sup></sub>
+
+
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/math.md b/categories/math.md
index 2aa0637..6d99dfa 100644
--- a/categories/math.md
+++ b/categories/math.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 8 curated math Python libraries and frameworks ordered by stars.  
+A selection of 10 curated math Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,38 +9,66 @@ Checkout the interactive version that you can filter and sort:
 numpy: The fundamental package for scientific computing with Python.  
 [https://numpy.org](https://numpy.org)  
 [https://github.com/numpy/numpy](https://github.com/numpy/numpy)  
-34 stars per week over 638 weeks  
-22,137 stars, 7,583 forks, 569 watches  
-created 2010-09-13, last commit 2022-12-07, main language Python  
-<sub><sup>closember, numpy, python</sup></sub>
+35 stars per week over 650 weeks  
+22,829 stars, 7,814 forks, 572 watches  
+created 2010-09-13, last commit 2023-03-03, main language Python  
+<sub><sup>numpy, python</sup></sub>
 
 
 ### [sympy](https://github.com/sympy/sympy)  
 sympy: A computer algebra system written in pure Python  
 [https://sympy.org/](https://sympy.org/)  
 [https://github.com/sympy/sympy](https://github.com/sympy/sympy)  
-14 stars per week over 657 weeks  
-9,861 stars, 3,781 forks, 281 watches  
-created 2010-04-30, last commit 2022-12-04, main language Python  
+15 stars per week over 670 weeks  
+10,361 stars, 3,882 forks, 287 watches  
+created 2010-04-30, last commit 2023-03-04, main language Python  
 <sub><sup>computer-algebra, hacktoberfest, math, python, science</sup></sub>
 
 
 ### [theseus](https://github.com/facebookresearch/theseus) by [facebookresearch](https://github.com/facebookresearch)  
 theseus: A library for differentiable nonlinear optimization  
 [https://github.com/facebookresearch/theseus](https://github.com/facebookresearch/theseus)  
-20 stars per week over 54 weeks  
-1,125 stars, 74 forks, 28 watches  
-created 2021-11-18, last commit 2022-12-05, main language Python  
+18 stars per week over 67 weeks  
+1,226 stars, 85 forks, 29 watches  
+created 2021-11-18, last commit 2023-02-27, main language Python  
 <sub><sup>bilevel-optimization, computer-vision, deep-learning, differentiable-optimization, embodied-ai, gauss-newton, implicit-differentiation, levenberg-marquardt, nonlinear-least-squares, pytorch, robotics</sup></sub>
 
 
+### [PyNeuraLogic](https://github.com/lukaszahradnik/pyneuralogic) by [lukaszahradnik](https://github.com/lukaszahradnik)  
+PyNeuraLogic lets you use Python to create Differentiable Logic Programs  
+[https://pyneuralogic.readthedocs.io/](https://pyneuralogic.readthedocs.io/)  
+[https://github.com/lukaszahradnik/pyneuralogic](https://github.com/lukaszahradnik/pyneuralogic)  
+1.85 stars per week over 117 weeks  
+216 stars, 18 forks, 5 watches  
+created 2020-12-06, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, differentiable-programming, geometric-deep-learning, graph-neural-networks, logic-programming, machine-learning, python, pytorch, relational-learning</sup></sub>
+
+
+### [tfcausalimpact](https://github.com/willianfuks/tfcausalimpact) by [willianfuks](https://github.com/willianfuks)  
+tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.  
+[https://github.com/willianfuks/tfcausalimpact](https://github.com/willianfuks/tfcausalimpact)  
+2.95 stars per week over 132 weeks  
+392 stars, 54 forks, 10 watches  
+created 2020-08-17, last commit 2022-12-20, main language Python  
+<sub><sup>causal-inference, causalimpact, python, tensorflow-probability</sup></sub>
+
+
+### [torchsde](https://github.com/google-research/torchsde) by [google-research](https://github.com/google-research)  
+torchsde: Differentiable SDE solvers with GPU support and efficient sensitivity analysis.   
+[https://github.com/google-research/torchsde](https://github.com/google-research/torchsde)  
+8.79 stars per week over 138 weeks  
+1,220 stars, 145 forks, 33 watches  
+created 2020-07-06, last commit 2021-07-26, main language Python  
+<sub><sup>deep-learning, deep-neural-networks, differential-equations, dynamical-systems, neural-differential-equations, pytorch, stochastic-differential-equations, stochastic-processes, stochastic-volatility-models</sup></sub>
+
+
 ### [mpmath](https://github.com/fredrik-johansson/mpmath) by [fredrik-johansson](https://github.com/fredrik-johansson)  
 mpmath: Python library for arbitrary-precision floating-point arithmetic  
 [http://mpmath.org](http://mpmath.org)  
 [https://github.com/fredrik-johansson/mpmath](https://github.com/fredrik-johansson/mpmath)  
-1.22 stars per week over 574 weeks  
-702 stars, 148 forks, 39 watches  
-created 2011-12-07, last commit 2022-11-07, main language Python  
+1.25 stars per week over 586 weeks  
+736 stars, 152 forks, 40 watches  
+created 2011-12-07, last commit 2023-01-10, main language Python  
 <sub><sup>arbitrary-precision, complex-numbers, floating-point, multiprecision, numerical-integration, numerical-methods, numerical-optimization, ordinary-differential-equations, plotting, python, special-functions</sup></sub>
 
 
@@ -48,40 +76,29 @@ created 2011-12-07, last commit 2022-11-07, main language Python
 dit: Python package for information theory.  
 [http://docs.dit.io](http://docs.dit.io)  
 [https://github.com/dit/dit](https://github.com/dit/dit)  
-0.87 stars per week over 479 weeks  
-415 stars, 77 forks, 24 watches  
+0.88 stars per week over 492 weeks  
+431 stars, 78 forks, 24 watches  
 created 2013-09-29, last commit 2022-07-25, main language Python  
 <sub><sup>information-theory, python</sup></sub>
 
 
-### [tfcausalimpact](https://github.com/willianfuks/tfcausalimpact) by [willianfuks](https://github.com/willianfuks)  
-tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.  
-[https://github.com/willianfuks/tfcausalimpact](https://github.com/willianfuks/tfcausalimpact)  
-3.0 stars per week over 120 weeks  
-361 stars, 49 forks, 9 watches  
-created 2020-08-17, last commit 2022-10-07, main language Python  
-<sub><sup>causal-inference, causalimpact, python, tensorflow-probability</sup></sub>
-
-
-### [PyNeuraLogic](https://github.com/lukaszahradnik/pyneuralogic) by [lukaszahradnik](https://github.com/lukaszahradnik)  
-PyNeuraLogic lets you use Python to create Differentiable Logic Programs  
-[https://pyneuralogic.readthedocs.io/](https://pyneuralogic.readthedocs.io/)  
-[https://github.com/lukaszahradnik/pyneuralogic](https://github.com/lukaszahradnik/pyneuralogic)  
-1.66 stars per week over 104 weeks  
-173 stars, 13 forks, 4 watches  
-created 2020-12-06, last commit 2022-12-05, main language Python  
-<sub><sup>deep-learning, differentiable-programming, geometric-deep-learning, graph-neural-networks, logic-programming, machine-learning, python, pytorch, relational-learning</sup></sub>
+### [pycircular](https://github.com/albahnsen/pycircular) by [albahnsen](https://github.com/albahnsen)  
+pycircular is a Python module for circular data analysis  
+[https://github.com/albahnsen/pycircular](https://github.com/albahnsen/pycircular)  
+2.57 stars per week over 24 weeks  
+64 stars, 3 forks, 5 watches  
+created 2022-09-12, last commit 2023-01-21, main language Python  
 
 
 ### [pacal](https://github.com/jszymon/pacal) by [jszymon](https://github.com/jszymon)  
 PaCAL - ProbAbilistic CALculator  
 [https://github.com/jszymon/pacal](https://github.com/jszymon/pacal)  
-0.05 stars per week over 435 weeks  
+0.05 stars per week over 447 weeks  
 21 stars, 8 forks, 6 watches  
 created 2014-08-04, last commit 2022-11-02, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/ml-dl.md b/categories/ml-dl.md
index 0159347..f8ae82d 100644
--- a/categories/ml-dl.md
+++ b/categories/ml-dl.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 64 curated ml-dl Python libraries and frameworks ordered by stars.  
+A selection of 67 curated ml-dl Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,9 +9,9 @@ Checkout the interactive version that you can filter and sort:
 tensorflow: An Open Source Machine Learning Framework for Everyone  
 [https://tensorflow.org](https://tensorflow.org)  
 [https://github.com/tensorflow/tensorflow](https://github.com/tensorflow/tensorflow)  
-458 stars per week over 369 weeks  
-169,543 stars, 87,524 forks, 7,795 watches  
-created 2015-11-07, last commit 2022-12-07, main language C++  
+449 stars per week over 382 weeks  
+171,770 stars, 87,871 forks, 7,751 watches  
+created 2015-11-07, last commit 2023-03-03, main language C++  
 <sub><sup>deep-learning, deep-neural-networks, distributed, machine-learning, ml, neural-network, python, tensorflow</sup></sub>
 
 
@@ -19,9 +19,9 @@ created 2015-11-07, last commit 2022-12-07, main language C++
 pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration  
 [https://pytorch.org](https://pytorch.org)  
 [https://github.com/pytorch/pytorch](https://github.com/pytorch/pytorch)  
-184 stars per week over 329 weeks  
-60,819 stars, 16,942 forks, 1,624 watches  
-created 2016-08-13, last commit 2022-12-07, main language C++  
+185 stars per week over 342 weeks  
+63,350 stars, 17,591 forks, 1,632 watches  
+created 2016-08-13, last commit 2023-03-04, main language C++  
 <sub><sup>autograd, deep-learning, gpu, machine-learning, neural-network, numpy, python, tensor</sup></sub>
 
 
@@ -29,387 +29,378 @@ created 2016-08-13, last commit 2022-12-07, main language C++
 keras: Deep Learning for humans  
 [http://keras.io/](http://keras.io/)  
 [https://github.com/keras-team/keras](https://github.com/keras-team/keras)  
-141 stars per week over 401 weeks  
-56,789 stars, 19,224 forks, 1,937 watches  
-created 2015-03-28, last commit 2022-12-07, main language Python  
+138 stars per week over 414 weeks  
+57,473 stars, 19,305 forks, 1,923 watches  
+created 2015-03-28, last commit 2023-03-02, main language Python  
 <sub><sup>data-science, deep-learning, machine-learning, neural-networks, python, tensorflow</sup></sub>
 
 
-### [faceswap](https://github.com/deepfakes/faceswap) by [deepfakes](https://github.com/deepfakes)  
-faceswap: Deepfakes Software For All  
-[https://www.faceswap.dev](https://www.faceswap.dev)  
-[https://github.com/deepfakes/faceswap](https://github.com/deepfakes/faceswap)  
-165 stars per week over 259 weeks  
-42,917 stars, 12,004 forks, 1,504 watches  
-created 2017-12-19, last commit 2022-11-22, main language Python  
-<sub><sup>deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, myfakeapp, neural-nets, neural-networks, openfaceswap</sup></sub>
+### [ColossalAI](https://github.com/hpcaitech/colossalai) by [hpcaitech](https://github.com/hpcaitech)  
+ColossalAI: Making large AI models cheaper, faster and more accessible  
+[https://www.colossalai.org/](https://www.colossalai.org/)  
+[https://github.com/hpcaitech/colossalai](https://github.com/hpcaitech/colossalai)  
+249 stars per week over 70 weeks  
+17,548 stars, 1,853 forks, 206 watches  
+created 2021-10-28, last commit 2023-03-04, main language Python  
+<sub><sup>ai, big-model, data-parallelism, deep-learning, distributed-computing, foundation-models, heterogeneous-training, hpc, inference, large-scale, model-parallelism, pipeline-parallelism</sup></sub>
 
 
-### [DeepFaceLab](https://github.com/iperov/deepfacelab) by [iperov](https://github.com/iperov)  
-DeepFaceLab is the leading software for creating deepfakes.  
-[https://github.com/iperov/deepfacelab](https://github.com/iperov/deepfacelab)  
-153 stars per week over 235 weeks  
-36,022 stars, 8,114 forks, 1,049 watches  
-created 2018-06-04, last commit 2022-10-31, main language Python  
-<sub><sup>arxiv, creating-deepfakes, deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfacelab, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, neural-nets, neural-networks</sup></sub>
+### [lightning](https://github.com/pytorchlightning/pytorch-lightning) by [pytorchlightning](https://github.com/pytorchlightning)  
+lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast.  
+[https://lightning.ai](https://lightning.ai)  
+[https://github.com/pytorchlightning/pytorch-lightning](https://github.com/pytorchlightning/pytorch-lightning)  
+106 stars per week over 205 weeks  
+21,777 stars, 2,761 forks, 229 watches  
+created 2019-03-31, last commit 2023-03-03, main language Python  
+<sub><sup>ai, artificial-intelligence, data-science, deep-learning, machine-learning, python, pytorch</sup></sub>
 
 
-### [Detectron](https://github.com/facebookresearch/detectron) by [facebookresearch](https://github.com/facebookresearch)  
-Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.  
-[https://github.com/facebookresearch/detectron](https://github.com/facebookresearch/detectron)  
-94 stars per week over 269 weeks  
-25,445 stars, 5,480 forks, 959 watches  
-created 2017-10-05, last commit 2021-03-27, main language Python  
+### [Paddle](https://github.com/paddlepaddle/paddle) by [paddlepaddle](https://github.com/paddlepaddle)  
+Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）  
+[http://www.paddlepaddle.org/](http://www.paddlepaddle.org/)  
+[https://github.com/paddlepaddle/paddle](https://github.com/paddlepaddle/paddle)  
+57 stars per week over 341 weeks  
+19,707 stars, 5,002 forks, 731 watches  
+created 2016-08-15, last commit 2023-03-03, main language C++  
+<sub><sup>deep-learning, distributed-training, efficiency, machine-learning, neural-network, paddlepaddle, python, scalability</sup></sub>
+
+
+### [pytorch-image-models](https://github.com/rwightman/pytorch-image-models) by [rwightman](https://github.com/rwightman)  
+pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more  
+[https://huggingface.co/docs/timm](https://huggingface.co/docs/timm)  
+[https://github.com/rwightman/pytorch-image-models](https://github.com/rwightman/pytorch-image-models)  
+111 stars per week over 213 weeks  
+23,868 stars, 3,936 forks, 296 watches  
+created 2019-02-02, last commit 2023-02-27, main language Python  
+<sub><sup>augmix, cnn-classification, distributed-training, dual-path-networks, efficientnet, efficientnet-training, imagenet-classifier, mixnet, mnasnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models</sup></sub>
+
+
+### [dgl](https://github.com/dmlc/dgl) by [dmlc](https://github.com/dmlc)  
+dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.  
+[http://dgl.ai](http://dgl.ai)  
+[https://github.com/dmlc/dgl](https://github.com/dmlc/dgl)  
+44 stars per week over 254 weeks  
+11,212 stars, 2,722 forks, 173 watches  
+created 2018-04-20, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, graph-neural-networks</sup></sub>
+
+
+### [pytorch_geometric](https://github.com/pyg-team/pytorch_geometric) by [pyg-team](https://github.com/pyg-team)  
+pytorch_geometric: Graph Neural Network Library for PyTorch  
+[https://pyg.org](https://pyg.org)  
+[https://github.com/pyg-team/pytorch_geometric](https://github.com/pyg-team/pytorch_geometric)  
+59 stars per week over 282 weeks  
+16,927 stars, 3,110 forks, 250 watches  
+created 2017-10-06, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, geometric-deep-learning, graph-convolutional-networks, graph-neural-networks, pytorch</sup></sub>
+
+
+### [lama-cleaner](https://github.com/sanster/lama-cleaner) by [sanster](https://github.com/sanster)  
+lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.  
+[https://lama-cleaner-docs.vercel.app/](https://lama-cleaner-docs.vercel.app/)  
+[https://github.com/sanster/lama-cleaner](https://github.com/sanster/lama-cleaner)  
+122 stars per week over 67 weeks  
+8,307 stars, 734 forks, 63 watches  
+created 2021-11-15, last commit 2023-03-02, main language Python  
+<sub><sup>inpainting, lama, latent-diffusion, mat, pytorch, stable-diffusion, zits</sup></sub>
 
 
 ### [detectron2](https://github.com/facebookresearch/detectron2) by [facebookresearch](https://github.com/facebookresearch)  
 Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.  
 [https://detectron2.readthedocs.io/en/latest/](https://detectron2.readthedocs.io/en/latest/)  
 [https://github.com/facebookresearch/detectron2](https://github.com/facebookresearch/detectron2)  
-135 stars per week over 169 weeks  
-23,038 stars, 6,272 forks, 365 watches  
-created 2019-09-05, last commit 2022-12-06, main language Python  
+130 stars per week over 182 weeks  
+23,740 stars, 6,491 forks, 366 watches  
+created 2019-09-05, last commit 2023-03-03, main language Python  
 
 
-### [Mask_RCNN](https://github.com/matterport/mask_rcnn) by [matterport](https://github.com/matterport)  
-Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow  
-[https://github.com/matterport/mask_rcnn](https://github.com/matterport/mask_rcnn)  
-83 stars per week over 267 weeks  
-22,482 stars, 11,162 forks, 599 watches  
-created 2017-10-19, last commit 2019-03-31, main language Python  
-<sub><sup>instance-segmentation, keras, mask-rcnn, object-detection, tensorflow</sup></sub>
+### [DeepSpeed](https://github.com/microsoft/deepspeed) by [microsoft](https://github.com/microsoft)  
+DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.  
+[https://www.deepspeed.ai/](https://www.deepspeed.ai/)  
+[https://github.com/microsoft/deepspeed](https://github.com/microsoft/deepspeed)  
+56 stars per week over 162 weeks  
+9,202 stars, 1,106 forks, 146 watches  
+created 2020-01-23, last commit 2023-03-01, main language Python  
+<sub><sup>billion-parameters, compression, data-parallelism, deep-learning, gpu, inference, machine-learning, mixture-of-experts, model-parallelism, pipeline-parallelism, pytorch, trillion-parameters, zero</sup></sub>
 
 
-### [pytorch-image-models](https://github.com/rwightman/pytorch-image-models) by [rwightman](https://github.com/rwightman)  
-pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more  
-[https://huggingface.co/docs/timm](https://huggingface.co/docs/timm)  
-[https://github.com/rwightman/pytorch-image-models](https://github.com/rwightman/pytorch-image-models)  
-111 stars per week over 200 weeks  
-22,389 stars, 3,729 forks, 290 watches  
-created 2019-02-02, last commit 2022-12-05, main language Python  
-<sub><sup>augmix, cnn-classification, distributed-training, dual-path-networks, efficientnet, efficientnet-training, imagenet-classifier, mixnet, mnasnet, mobile-deep-learning, mobilenet-v2, mobilenetv3, nfnets, normalization-free-training, pretrained-models, pretrained-weights, pytorch, randaugment, resnet, vision-transformer-models</sup></sub>
+### [faceswap](https://github.com/deepfakes/faceswap) by [deepfakes](https://github.com/deepfakes)  
+faceswap: Deepfakes Software For All  
+[https://www.faceswap.dev](https://www.faceswap.dev)  
+[https://github.com/deepfakes/faceswap](https://github.com/deepfakes/faceswap)  
+161 stars per week over 271 weeks  
+43,839 stars, 12,151 forks, 1,504 watches  
+created 2017-12-19, last commit 2023-02-24, main language Python  
+<sub><sup>deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, myfakeapp, neural-nets, neural-networks, openfaceswap</sup></sub>
 
 
-### [lightning](https://github.com/pytorchlightning/pytorch-lightning) by [pytorchlightning](https://github.com/pytorchlightning)  
-lightning: Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.  
-[https://lightning.ai](https://lightning.ai)  
-[https://github.com/pytorchlightning/pytorch-lightning](https://github.com/pytorchlightning/pytorch-lightning)  
-108 stars per week over 192 weeks  
-20,867 stars, 2,662 forks, 229 watches  
-created 2019-03-31, last commit 2022-12-07, main language Python  
-<sub><sup>ai, artificial-intelligence, data-science, deep-learning, machine-learning, python, pytorch</sup></sub>
+### [AITemplate](https://github.com/facebookincubator/aitemplate) by [facebookincubator](https://github.com/facebookincubator)  
+AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.  
+[https://github.com/facebookincubator/aitemplate](https://github.com/facebookincubator/aitemplate)  
+89 stars per week over 33 weeks  
+2,979 stars, 238 forks, 77 watches  
+created 2022-07-15, last commit 2023-03-04, main language Python  
+
+
+### [dalle-mini](https://github.com/borisdayma/dalle-mini) by [borisdayma](https://github.com/borisdayma)  
+dalle-mini: DALL·E Mini - Generate images from a text prompt  
+[https://www.craiyon.com](https://www.craiyon.com)  
+[https://github.com/borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini)  
+157 stars per week over 87 weeks  
+13,731 stars, 1,062 forks, 102 watches  
+created 2021-07-03, last commit 2023-02-10, main language Python  
+
+
+### [DALLE2-pytorch](https://github.com/lucidrains/dalle2-pytorch) by [lucidrains](https://github.com/lucidrains)  
+DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch  
+[https://github.com/lucidrains/dalle2-pytorch](https://github.com/lucidrains/dalle2-pytorch)  
+190 stars per week over 47 weeks  
+9,043 stars, 787 forks, 123 watches  
+created 2022-04-07, last commit 2023-02-12, main language Python  
+<sub><sup>artificial-intelligence, deep-learning, text-to-image</sup></sub>
 
 
 ### [mxnet](https://github.com/apache/incubator-mxnet) by [apache](https://github.com/apache)  
 mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more  
 [https://mxnet.apache.org](https://mxnet.apache.org)  
 [https://github.com/apache/incubator-mxnet](https://github.com/apache/incubator-mxnet)  
-50 stars per week over 396 weeks  
-20,178 stars, 6,877 forks, 1,089 watches  
-created 2015-04-30, last commit 2022-09-26, main language C++  
+49 stars per week over 409 weeks  
+20,272 stars, 6,872 forks, 1,087 watches  
+created 2015-04-30, last commit 2023-01-26, main language C++  
 <sub><sup>mxnet</sup></sub>
 
 
-### [Paddle](https://github.com/paddlepaddle/paddle) by [paddlepaddle](https://github.com/paddlepaddle)  
-Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）  
-[http://www.paddlepaddle.org/](http://www.paddlepaddle.org/)  
-[https://github.com/paddlepaddle/paddle](https://github.com/paddlepaddle/paddle)  
-58 stars per week over 329 weeks  
-19,267 stars, 4,815 forks, 733 watches  
-created 2016-08-15, last commit 2022-12-07, main language C++  
-<sub><sup>deep-learning, distributed-training, efficiency, machine-learning, neural-network, paddlepaddle, python, scalability</sup></sub>
-
-
 ### [Real-ESRGAN](https://github.com/xinntao/real-esrgan) by [xinntao](https://github.com/xinntao)  
 Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.  
 [https://github.com/xinntao/real-esrgan](https://github.com/xinntao/real-esrgan)  
-232 stars per week over 72 weeks  
-16,801 stars, 1,792 forks, 182 watches  
+217 stars per week over 84 weeks  
+18,447 stars, 1,993 forks, 188 watches  
 created 2021-07-19, last commit 2022-09-20, main language Python  
 <sub><sup>amine, denoise, esrgan, image-restoration, jpeg-compression, pytorch, real-esrgan, super-resolution</sup></sub>
 
 
-### [pytorch_geometric](https://github.com/pyg-team/pytorch_geometric) by [pyg-team](https://github.com/pyg-team)  
-pytorch_geometric: Graph Neural Network Library for PyTorch  
-[https://pytorch-geometric.readthedocs.io/](https://pytorch-geometric.readthedocs.io/)  
-[https://github.com/pyg-team/pytorch_geometric](https://github.com/pyg-team/pytorch_geometric)  
-60 stars per week over 269 weeks  
-16,304 stars, 2,971 forks, 245 watches  
-created 2017-10-06, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, geometric-deep-learning, graph-convolutional-networks, graph-neural-networks, pytorch</sup></sub>
+### [kornia](https://github.com/kornia/kornia)  
+kornia: Open Source Differentiable Computer Vision Library  
+[https://kornia.github.io/kornia/](https://kornia.github.io/kornia/)  
+[https://github.com/kornia/kornia](https://github.com/kornia/kornia)  
+33 stars per week over 236 weeks  
+7,825 stars, 794 forks, 119 watches  
+created 2018-08-22, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, computer-vision, deep-learning, image-processing, machine-learning, neural-network, python, pytorch</sup></sub>
 
 
-### [deeplearning-models](https://github.com/rasbt/deeplearning-models) by [rasbt](https://github.com/rasbt)  
-deeplearning-models: A collection of various deep learning architectures, models, and tips  
-[https://github.com/rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)  
-84 stars per week over 183 weeks  
-15,461 stars, 3,826 forks, 598 watches  
-created 2019-06-05, last commit 2022-11-16, main language Jupyter Notebook  
+### [pytorch3d](https://github.com/facebookresearch/pytorch3d) by [facebookresearch](https://github.com/facebookresearch)  
+PyTorch3D is FAIR's library of reusable components for deep learning with 3D data  
+[https://pytorch3d.org/](https://pytorch3d.org/)  
+[https://github.com/facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d)  
+39 stars per week over 175 weeks  
+7,009 stars, 1,077 forks, 141 watches  
+created 2019-10-25, last commit 2023-02-28, main language Python  
 
 
-### [dalle-mini](https://github.com/borisdayma/dalle-mini) by [borisdayma](https://github.com/borisdayma)  
-dalle-mini: DALL·E Mini - Generate images from a text prompt  
-[https://www.craiyon.com](https://www.craiyon.com)  
-[https://github.com/borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini)  
-179 stars per week over 74 weeks  
-13,392 stars, 1,006 forks, 105 watches  
-created 2021-07-03, last commit 2022-11-09, main language Python  
+### [rembg](https://github.com/danielgatis/rembg) by [danielgatis](https://github.com/danielgatis)  
+Rembg is a tool to remove images background  
+[https://github.com/danielgatis/rembg](https://github.com/danielgatis/rembg)  
+63 stars per week over 133 weeks  
+8,561 stars, 1,069 forks, 105 watches  
+created 2020-08-10, last commit 2022-12-28, main language Python  
+<sub><sup>background-removal, image-processing, python</sup></sub>
 
 
 ### [albumentations](https://github.com/albumentations-team/albumentations) by [albumentations-team](https://github.com/albumentations-team)  
 albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125  
 [https://albumentations.ai](https://albumentations.ai)  
 [https://github.com/albumentations-team/albumentations](https://github.com/albumentations-team/albumentations)  
-47 stars per week over 235 weeks  
-11,273 stars, 1,442 forks, 124 watches  
-created 2018-06-06, last commit 2022-11-24, main language Python  
+47 stars per week over 247 weeks  
+11,637 stars, 1,478 forks, 124 watches  
+created 2018-06-06, last commit 2023-02-21, main language Python  
 <sub><sup>augmentation, deep-learning, detection, fast-augmentations, image-augmentation, image-classification, image-processing, image-segmentation, machine-learning, object-detection, python, segmentation</sup></sub>
 
 
-### [dgl](https://github.com/dmlc/dgl) by [dmlc](https://github.com/dmlc)  
-dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.  
-[http://dgl.ai](http://dgl.ai)  
-[https://github.com/dmlc/dgl](https://github.com/dmlc/dgl)  
-44 stars per week over 241 weeks  
-10,816 stars, 2,633 forks, 175 watches  
-created 2018-04-20, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, graph-neural-networks</sup></sub>
+### [flax](https://github.com/google/flax) by [google](https://github.com/google)  
+Flax is a neural network library for JAX that is designed for flexibility.  
+[https://flax.readthedocs.io](https://flax.readthedocs.io)  
+[https://github.com/google/flax](https://github.com/google/flax)  
+24 stars per week over 164 weeks  
+4,071 stars, 486 forks, 77 watches  
+created 2020-01-10, last commit 2023-03-03, main language Python  
+<sub><sup>jax</sup></sub>
+
+
+### [composer](https://github.com/mosaicml/composer) by [mosaicml](https://github.com/mosaicml)  
+composer: Train neural networks up to 7x faster  
+[http://docs.mosaicml.com](http://docs.mosaicml.com)  
+[https://github.com/mosaicml/composer](https://github.com/mosaicml/composer)  
+41 stars per week over 72 weeks  
+3,018 stars, 196 forks, 27 watches  
+created 2021-10-12, last commit 2023-03-04, main language Python  
+<sub><sup>deep-learning, machine-learning, ml-efficiency, ml-systems, ml-training, neural-network, neural-networks, pytorch</sup></sub>
+
+
+### [VToonify](https://github.com/williamyang1991/vtoonify) by [williamyang1991](https://github.com/williamyang1991)  
+[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer  
+[https://github.com/williamyang1991/vtoonify](https://github.com/williamyang1991/vtoonify)  
+116 stars per week over 25 weeks  
+2,948 stars, 358 forks, 59 watches  
+created 2022-09-09, last commit 2023-02-24, main language Jupyter Notebook  
+<sub><sup>face, siggraph-asia, style-transfer, stylegan2, toonify, video-style-transfer</sup></sub>
 
 
 ### [detr](https://github.com/facebookresearch/detr) by [facebookresearch](https://github.com/facebookresearch)  
 detr: End-to-End Object Detection with Transformers  
 [https://github.com/facebookresearch/detr](https://github.com/facebookresearch/detr)  
-77 stars per week over 132 weeks  
-10,186 stars, 1,844 forks, 145 watches  
-created 2020-05-26, last commit 2022-03-07, main language Python  
+72 stars per week over 144 weeks  
+10,503 stars, 1,929 forks, 150 watches  
+created 2020-05-26, last commit 2023-02-07, main language Python  
+
+
+### [pyro](https://github.com/pyro-ppl/pyro) by [pyro-ppl](https://github.com/pyro-ppl)  
+pyro: Deep universal probabilistic programming with Python and PyTorch  
+[http://pyro.ai](http://pyro.ai)  
+[https://github.com/pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)  
+26 stars per week over 298 weeks  
+7,813 stars, 965 forks, 201 watches  
+created 2017-06-16, last commit 2023-03-04, main language Python  
+<sub><sup>bayesian, bayesian-inference, deep-learning, machine-learning, probabilistic-modeling, probabilistic-programming, python, pytorch, variational-inference</sup></sub>
 
 
 ### [autokeras](https://github.com/keras-team/autokeras) by [keras-team](https://github.com/keras-team)  
 autokeras: AutoML library for deep learning  
 [http://autokeras.com/](http://autokeras.com/)  
 [https://github.com/keras-team/autokeras](https://github.com/keras-team/autokeras)  
-32 stars per week over 263 weeks  
-8,668 stars, 1,385 forks, 305 watches  
-created 2017-11-19, last commit 2022-12-04, main language Python  
+31 stars per week over 276 weeks  
+8,758 stars, 1,394 forks, 306 watches  
+created 2017-11-19, last commit 2023-02-22, main language Python  
 <sub><sup>autodl, automated-machine-learning, automl, deep-learning, keras, machine-learning, neural-architecture-search, python, tensorflow</sup></sub>
 
 
-### [DALLE2-pytorch](https://github.com/lucidrains/dalle2-pytorch) by [lucidrains](https://github.com/lucidrains)  
-DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch  
-[https://github.com/lucidrains/dalle2-pytorch](https://github.com/lucidrains/dalle2-pytorch)  
-241 stars per week over 34 weeks  
-8,421 stars, 685 forks, 112 watches  
-created 2022-04-07, last commit 2022-11-23, main language Python  
-<sub><sup>artificial-intelligence, deep-learning, text-to-image</sup></sub>
-
-
-### [DeepSpeed](https://github.com/microsoft/deepspeed) by [microsoft](https://github.com/microsoft)  
-DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.  
-[https://www.deepspeed.ai/](https://www.deepspeed.ai/)  
-[https://github.com/microsoft/deepspeed](https://github.com/microsoft/deepspeed)  
-55 stars per week over 149 weeks  
-8,276 stars, 968 forks, 142 watches  
-created 2020-01-23, last commit 2022-12-06, main language Python  
-<sub><sup>billion-parameters, compression, data-parallelism, deep-learning, gpu, inference, machine-learning, mixture-of-experts, model-parallelism, pipeline-parallelism, pytorch, trillion-parameters, zero</sup></sub>
+### [DeepFaceLab](https://github.com/iperov/deepfacelab) by [iperov](https://github.com/iperov)  
+DeepFaceLab is the leading software for creating deepfakes.  
+[https://github.com/iperov/deepfacelab](https://github.com/iperov/deepfacelab)  
+152 stars per week over 247 weeks  
+37,675 stars, 8,436 forks, 1,056 watches  
+created 2018-06-04, last commit 2022-12-31, main language Python  
+<sub><sup>arxiv, creating-deepfakes, deep-face-swap, deep-learning, deep-neural-networks, deepface, deepfacelab, deepfakes, deeplearning, face-swap, faceswap, fakeapp, machine-learning, neural-nets, neural-networks</sup></sub>
 
 
-### [pyro](https://github.com/pyro-ppl/pyro) by [pyro-ppl](https://github.com/pyro-ppl)  
-pyro: Deep universal probabilistic programming with Python and PyTorch  
-[http://pyro.ai](http://pyro.ai)  
-[https://github.com/pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)  
-26 stars per week over 285 weeks  
-7,698 stars, 939 forks, 203 watches  
-created 2017-06-16, last commit 2022-12-02, main language Python  
-<sub><sup>bayesian, bayesian-inference, deep-learning, machine-learning, probabilistic-modeling, probabilistic-programming, python, pytorch, variational-inference</sup></sub>
+### [deeplearning-models](https://github.com/rasbt/deeplearning-models) by [rasbt](https://github.com/rasbt)  
+deeplearning-models: A collection of various deep learning architectures, models, and tips  
+[https://github.com/rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)  
+79 stars per week over 195 weeks  
+15,637 stars, 3,853 forks, 594 watches  
+created 2019-06-05, last commit 2023-02-16, main language Jupyter Notebook  
 
 
-### [rembg](https://github.com/danielgatis/rembg) by [danielgatis](https://github.com/danielgatis)  
-Rembg is a tool to remove images background.  
-[https://github.com/danielgatis/rembg](https://github.com/danielgatis/rembg)  
-62 stars per week over 121 weeks  
-7,549 stars, 955 forks, 99 watches  
-created 2020-08-10, last commit 2022-11-28, main language Python  
-<sub><sup>background-removal, image-processing, python</sup></sub>
+### [torchrec](https://github.com/pytorch/torchrec) by [pytorch](https://github.com/pytorch)  
+torchrec: Pytorch domain library for recommendation systems  
+[https://github.com/pytorch/torchrec](https://github.com/pytorch/torchrec)  
+15 stars per week over 85 weeks  
+1,325 stars, 229 forks, 26 watches  
+created 2021-07-12, last commit 2023-03-02, main language Python  
+<sub><sup>cuda, deep-learning, gpu, pytorch, recommendation-system, recommender-system, sharding</sup></sub>
 
 
-### [kornia](https://github.com/kornia/kornia)  
-kornia: Open Source Differentiable Computer Vision Library  
-[https://kornia.github.io/kornia/](https://kornia.github.io/kornia/)  
-[https://github.com/kornia/kornia](https://github.com/kornia/kornia)  
-33 stars per week over 224 weeks  
-7,480 stars, 750 forks, 118 watches  
-created 2018-08-22, last commit 2022-12-07, main language Python  
-<sub><sup>artificial-intelligence, computer-vision, deep-learning, image-processing, machine-learning, neural-network, python, pytorch</sup></sub>
+### [alpa](https://github.com/alpa-projects/alpa) by [alpa-projects](https://github.com/alpa-projects)  
+alpa: Training and serving large-scale neural networks  
+[https://alpa.ai](https://alpa.ai)  
+[https://github.com/alpa-projects/alpa](https://github.com/alpa-projects/alpa)  
+18 stars per week over 105 weeks  
+1,958 stars, 241 forks, 33 watches  
+created 2021-02-22, last commit 2023-02-28, main language Python  
+<sub><sup>alpa, auto-parallelization, compiler, deep-learning, distributed-computing, distributed-training, high-performance-computing, jax, llm, machine-learning</sup></sub>
 
 
-### [trax](https://github.com/google/trax) by [google](https://github.com/google)  
-Trax — Deep Learning with Clear Code and Speed  
-[https://github.com/google/trax](https://github.com/google/trax)  
-43 stars per week over 165 weeks  
-7,203 stars, 751 forks, 145 watches  
-created 2019-10-05, last commit 2022-11-09, main language Python  
-<sub><sup>deep-learning, deep-reinforcement-learning, jax, machine-learning, numpy, reinforcement-learning, transformer</sup></sub>
+### [ignite](https://github.com/pytorch/ignite) by [pytorch](https://github.com/pytorch)  
+ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.  
+[https://pytorch-ignite.ai](https://pytorch-ignite.ai)  
+[https://github.com/pytorch/ignite](https://github.com/pytorch/ignite)  
+15 stars per week over 275 weeks  
+4,212 stars, 584 forks, 59 watches  
+created 2017-11-23, last commit 2023-02-27, main language Python  
+<sub><sup>closember, deep-learning, hacktoberfest, machine-learning, metrics, neural-network, python, pytorch</sup></sub>
 
 
-### [TensorLayer](https://github.com/tensorlayer/tensorlayer) by [tensorlayer](https://github.com/tensorlayer)  
-TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers   
-[http://tensorlayer.org](http://tensorlayer.org)  
-[https://github.com/tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)  
-20 stars per week over 339 weeks  
-7,119 stars, 1,609 forks, 462 watches  
-created 2016-06-07, last commit 2022-04-23, main language Python  
-<sub><sup>a3c, artificial-intelligence, chatbot, deep-learning, dqn, gan, google, imagenet, neural-network, object-detection, python, reinforcement-learning, tensorflow, tensorflow-tutorial, tensorflow-tutorials, tensorlayer</sup></sub>
+### [Mask_RCNN](https://github.com/matterport/mask_rcnn) by [matterport](https://github.com/matterport)  
+Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow  
+[https://github.com/matterport/mask_rcnn](https://github.com/matterport/mask_rcnn)  
+81 stars per week over 280 weeks  
+22,741 stars, 11,272 forks, 596 watches  
+created 2017-10-19, last commit 2019-03-31, main language Python  
+<sub><sup>instance-segmentation, keras, mask-rcnn, object-detection, tensorflow</sup></sub>
 
 
-### [ColossalAI](https://github.com/hpcaitech/colossalai) by [hpcaitech](https://github.com/hpcaitech)  
-ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era  
-[https://www.colossalai.org/](https://www.colossalai.org/)  
-[https://github.com/hpcaitech/colossalai](https://github.com/hpcaitech/colossalai)  
-119 stars per week over 57 weeks  
-6,901 stars, 649 forks, 88 watches  
-created 2021-10-28, last commit 2022-12-07, main language Python  
-<sub><sup>ai, big-model, data-parallelism, deep-learning, distributed-computing, heterogeneous-training, hpc, inference, large-scale, model-parallelism, pipeline-parallelism</sup></sub>
+### [Detectron](https://github.com/facebookresearch/detectron) by [facebookresearch](https://github.com/facebookresearch)  
+Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.  
+[https://github.com/facebookresearch/detectron](https://github.com/facebookresearch/detectron)  
+90 stars per week over 282 weeks  
+25,558 stars, 5,492 forks, 960 watches  
+created 2017-10-05, last commit 2023-02-21, main language Python  
 
 
-### [pytorch3d](https://github.com/facebookresearch/pytorch3d) by [facebookresearch](https://github.com/facebookresearch)  
-PyTorch3D is FAIR's library of reusable components for deep learning with 3D data  
-[https://pytorch3d.org/](https://pytorch3d.org/)  
-[https://github.com/facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d)  
-41 stars per week over 162 weeks  
-6,781 stars, 1,026 forks, 140 watches  
-created 2019-10-25, last commit 2022-12-05, main language Python  
+### [botorch](https://github.com/pytorch/botorch) by [pytorch](https://github.com/pytorch)  
+botorch: Bayesian optimization in PyTorch  
+[https://botorch.org/](https://botorch.org/)  
+[https://github.com/pytorch/botorch](https://github.com/pytorch/botorch)  
+10 stars per week over 239 weeks  
+2,544 stars, 306 forks, 50 watches  
+created 2018-07-30, last commit 2023-03-02, main language Jupyter Notebook  
 
 
 ### [einops](https://github.com/arogozhnikov/einops) by [arogozhnikov](https://github.com/arogozhnikov)  
 einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)  
 [https://einops.rocks](https://einops.rocks)  
 [https://github.com/arogozhnikov/einops](https://github.com/arogozhnikov/einops)  
-27 stars per week over 219 weeks  
-6,099 stars, 264 forks, 62 watches  
-created 2018-09-22, last commit 2022-12-04, main language Python  
+27 stars per week over 232 weeks  
+6,449 stars, 290 forks, 63 watches  
+created 2018-09-22, last commit 2023-01-18, main language Python  
 <sub><sup>chainer, cupy, deep-learning, gluon, jax, keras, numpy, pytorch, tensor, tensorflow</sup></sub>
 
 
-### [lama-cleaner](https://github.com/sanster/lama-cleaner) by [sanster](https://github.com/sanster)  
-lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.  
-[https://github.com/sanster/lama-cleaner](https://github.com/sanster/lama-cleaner)  
-95 stars per week over 55 weeks  
-5,278 stars, 415 forks, 42 watches  
-created 2021-11-15, last commit 2022-12-05, main language Python  
-<sub><sup>inpainting, lama, latent-diffusion, mat, pytorch, stable-diffusion, zits</sup></sub>
-
-
-### [mmf](https://github.com/facebookresearch/mmf) by [facebookresearch](https://github.com/facebookresearch)  
-mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)  
-[https://mmf.sh/](https://mmf.sh/)  
-[https://github.com/facebookresearch/mmf](https://github.com/facebookresearch/mmf)  
-21 stars per week over 232 weeks  
-5,084 stars, 895 forks, 117 watches  
-created 2018-06-27, last commit 2022-10-19, main language Python  
-<sub><sup>captioning, deep-learning, dialog, hateful-memes, multi-tasking, multimodal, pretrained-models, pytorch, textvqa, vqa</sup></sub>
+### [trax](https://github.com/google/trax) by [google](https://github.com/google)  
+Trax — Deep Learning with Clear Code and Speed  
+[https://github.com/google/trax](https://github.com/google/trax)  
+41 stars per week over 178 weeks  
+7,382 stars, 765 forks, 145 watches  
+created 2019-10-05, last commit 2023-02-15, main language Python  
+<sub><sup>deep-learning, deep-reinforcement-learning, jax, machine-learning, numpy, reinforcement-learning, transformer</sup></sub>
 
 
 ### [skorch](https://github.com/skorch-dev/skorch) by [skorch-dev](https://github.com/skorch-dev)  
 skorch: A scikit-learn compatible neural network library that wraps PyTorch  
 [https://github.com/skorch-dev/skorch](https://github.com/skorch-dev/skorch)  
-17 stars per week over 281 weeks  
-4,879 stars, 328 forks, 80 watches  
-created 2017-07-18, last commit 2022-11-29, main language Jupyter Notebook  
+17 stars per week over 293 weeks  
+5,049 stars, 337 forks, 82 watches  
+created 2017-07-18, last commit 2023-02-13, main language Jupyter Notebook  
 <sub><sup>hacktoberfest, machine-learning, pytorch, scikit-learn</sup></sub>
 
 
-### [BasicSR](https://github.com/xpixelgroup/basicsr) by [xpixelgroup](https://github.com/xpixelgroup)  
-BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.  
-[https://basicsr.readthedocs.io/en/latest/](https://basicsr.readthedocs.io/en/latest/)  
-[https://github.com/xpixelgroup/basicsr](https://github.com/xpixelgroup/basicsr)  
-17 stars per week over 241 weeks  
-4,137 stars, 859 forks, 85 watches  
-created 2018-04-19, last commit 2022-11-06, main language Python  
-<sub><sup>basicsr, basicvsr, dfdnet, ecbsr, edsr, edvr, esrgan, pytorch, rcan, restoration, srgan, srresnet, stylegan2, super-resolution, swinir</sup></sub>
-
-
-### [ignite](https://github.com/pytorch/ignite) by [pytorch](https://github.com/pytorch)  
-ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.  
-[https://pytorch-ignite.ai](https://pytorch-ignite.ai)  
-[https://github.com/pytorch/ignite](https://github.com/pytorch/ignite)  
-15 stars per week over 262 weeks  
-4,136 stars, 562 forks, 59 watches  
-created 2017-11-23, last commit 2022-12-05, main language Python  
-<sub><sup>closember, deep-learning, hacktoberfest, machine-learning, metrics, neural-network, python, pytorch</sup></sub>
-
-
-### [flax](https://github.com/google/flax) by [google](https://github.com/google)  
-Flax is a neural network library for JAX that is designed for flexibility.  
-[https://flax.readthedocs.io](https://flax.readthedocs.io)  
-[https://github.com/google/flax](https://github.com/google/flax)  
-24 stars per week over 151 weeks  
-3,788 stars, 437 forks, 74 watches  
-created 2020-01-10, last commit 2022-12-07, main language Python  
-<sub><sup>jax</sup></sub>
-
-
-### [AITemplate](https://github.com/facebookincubator/aitemplate) by [facebookincubator](https://github.com/facebookincubator)  
-AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.  
-[https://github.com/facebookincubator/aitemplate](https://github.com/facebookincubator/aitemplate)  
-133 stars per week over 20 weeks  
-2,764 stars, 180 forks, 78 watches  
-created 2022-07-15, last commit 2022-12-02, main language Python  
-
-
-### [composer](https://github.com/mosaicml/composer) by [mosaicml](https://github.com/mosaicml)  
-composer: Train neural networks up to 7x faster  
-[http://docs.mosaicml.com](http://docs.mosaicml.com)  
-[https://github.com/mosaicml/composer](https://github.com/mosaicml/composer)  
-45 stars per week over 60 weeks  
-2,738 stars, 169 forks, 22 watches  
-created 2021-10-12, last commit 2022-12-07, main language Python  
-<sub><sup>deep-learning, machine-learning, ml-efficiency, ml-systems, ml-training, neural-network, neural-networks, pytorch</sup></sub>
-
-
-### [thinc](https://github.com/explosion/thinc) by [explosion](https://github.com/explosion)  
-thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries  
-[https://thinc.ai](https://thinc.ai)  
-[https://github.com/explosion/thinc](https://github.com/explosion/thinc)  
-6.18 stars per week over 424 weeks  
-2,627 stars, 259 forks, 85 watches  
-created 2014-10-16, last commit 2022-11-30, main language Python  
-<sub><sup>ai, artificial-intelligence, deep-learning, functional-programming, jax, machine-learning, machine-learning-library, mxnet, natural-language-processing, nlp, python, pytorch, spacy, tensorflow, type-checking</sup></sub>
-
-
-### [dalle-playground](https://github.com/saharmor/dalle-playground) by [saharmor](https://github.com/saharmor)  
-dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)  
-[https://github.com/saharmor/dalle-playground](https://github.com/saharmor/dalle-playground)  
-38 stars per week over 64 weeks  
-2,485 stars, 553 forks, 28 watches  
-created 2021-09-13, last commit 2022-12-02, main language Jupyter Notebook  
-<sub><sup>artificial, artificial-intelligence, dall-e, dalle, dalle-mini, gan, machine-learning, openai, stable-diffusion, text-to-image, transformers</sup></sub>
-
-
-### [botorch](https://github.com/pytorch/botorch) by [pytorch](https://github.com/pytorch)  
-botorch: Bayesian optimization in PyTorch  
-[https://botorch.org/](https://botorch.org/)  
-[https://github.com/pytorch/botorch](https://github.com/pytorch/botorch)  
-10 stars per week over 227 weeks  
-2,471 stars, 292 forks, 52 watches  
-created 2018-07-30, last commit 2022-12-07, main language Jupyter Notebook  
+### [mmf](https://github.com/facebookresearch/mmf) by [facebookresearch](https://github.com/facebookresearch)  
+mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)  
+[https://mmf.sh/](https://mmf.sh/)  
+[https://github.com/facebookresearch/mmf](https://github.com/facebookresearch/mmf)  
+21 stars per week over 244 weeks  
+5,154 stars, 911 forks, 117 watches  
+created 2018-06-27, last commit 2023-02-02, main language Python  
+<sub><sup>captioning, deep-learning, dialog, hateful-memes, multi-tasking, multimodal, pretrained-models, pytorch, textvqa, vqa</sup></sub>
 
 
-### [VQGAN-CLIP](https://github.com/nerdyrodent/vqgan-clip) by [nerdyrodent](https://github.com/nerdyrodent)  
-VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.  
-[https://github.com/nerdyrodent/vqgan-clip](https://github.com/nerdyrodent/vqgan-clip)  
-30 stars per week over 74 weeks  
-2,293 stars, 395 forks, 53 watches  
-created 2021-07-02, last commit 2022-10-02, main language Python  
-<sub><sup>text-to-image, text2image</sup></sub>
+### [TensorLayer](https://github.com/tensorlayer/tensorlayer) by [tensorlayer](https://github.com/tensorlayer)  
+TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers   
+[http://tensorlayerx.com](http://tensorlayerx.com)  
+[https://github.com/tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)  
+20 stars per week over 351 weeks  
+7,154 stars, 1,617 forks, 466 watches  
+created 2016-06-07, last commit 2023-02-18, main language Python  
+<sub><sup>a3c, artificial-intelligence, chatbot, deep-learning, dqn, gan, google, imagenet, neural-network, object-detection, python, reinforcement-learning, tensorflow, tensorflow-tutorial, tensorflow-tutorials, tensorlayer</sup></sub>
 
 
 ### [dm-haiku](https://github.com/deepmind/dm-haiku) by [deepmind](https://github.com/deepmind)  
 dm-haiku: JAX-based neural network library  
 [https://dm-haiku.readthedocs.io](https://dm-haiku.readthedocs.io)  
 [https://github.com/deepmind/dm-haiku](https://github.com/deepmind/dm-haiku)  
-15 stars per week over 146 weeks  
-2,270 stars, 190 forks, 37 watches  
-created 2020-02-18, last commit 2022-11-22, main language Python  
+15 stars per week over 158 weeks  
+2,385 stars, 199 forks, 39 watches  
+created 2020-02-18, last commit 2023-03-03, main language Python  
 <sub><sup>deep-learning, deep-neural-networks, jax, machine-learning, neural-networks</sup></sub>
 
 
@@ -417,191 +408,229 @@ created 2020-02-18, last commit 2022-11-22, main language Python
 torchio: Medical imaging toolkit for deep learning  
 [http://www.torchio.org](http://www.torchio.org)  
 [https://github.com/fepegar/torchio](https://github.com/fepegar/torchio)  
-9.93 stars per week over 158 weeks  
-1,570 stars, 195 forks, 14 watches  
-created 2019-11-26, last commit 2022-11-19, main language Python  
+9.66 stars per week over 170 weeks  
+1,649 stars, 203 forks, 17 watches  
+created 2019-11-26, last commit 2023-03-01, main language Python  
 <sub><sup>augmentation, data-augmentation, deep-learning, machine-learning, medical-image-analysis, medical-image-computing, medical-image-processing, medical-images, medical-imaging-datasets, medical-imaging-with-deep-learning, python, pytorch</sup></sub>
 
 
-### [nebullvm](https://github.com/nebuly-ai/nebullvm) by [nebuly-ai](https://github.com/nebuly-ai)  
-nebullvm: Accelerate AI models inference leveraging best-of-breed optimization techniques 🚀  
-[https://github.com/nebuly-ai/nebullvm](https://github.com/nebuly-ai/nebullvm)  
-35 stars per week over 42 weeks  
-1,495 stars, 68 forks, 17 watches  
-created 2022-02-12, last commit 2022-11-30, main language Python  
-<sub><sup>compiler, computing, deep-learning, huggingface, inference, machine-learning, onnx, openvino, pytorch, tensorflow, tensorrt, tvm</sup></sub>
-
-
-### [FGVC](https://github.com/vt-vl-lab/fgvc) by [vt-vl-lab](https://github.com/vt-vl-lab)  
-FGVC: [ECCV 2020] Flow-edge Guided Video Completion   
-[https://github.com/vt-vl-lab/fgvc](https://github.com/vt-vl-lab/fgvc)  
-12 stars per week over 117 weeks  
-1,472 stars, 237 forks, 68 watches  
-created 2020-09-09, last commit 2021-12-14, main language Python  
+### [dalle-playground](https://github.com/saharmor/dalle-playground) by [saharmor](https://github.com/saharmor)  
+dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)  
+[https://github.com/saharmor/dalle-playground](https://github.com/saharmor/dalle-playground)  
+33 stars per week over 76 weeks  
+2,587 stars, 565 forks, 28 watches  
+created 2021-09-13, last commit 2023-02-19, main language JavaScript  
+<sub><sup>artificial, artificial-intelligence, dall-e, dalle, dalle-mini, gan, machine-learning, openai, stable-diffusion, text-to-image, transformers</sup></sub>
 
 
 ### [sparseml](https://github.com/neuralmagic/sparseml) by [neuralmagic](https://github.com/neuralmagic)  
 sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models  
 [https://github.com/neuralmagic/sparseml](https://github.com/neuralmagic/sparseml)  
-13 stars per week over 103 weeks  
-1,443 stars, 103 forks, 36 watches  
-created 2020-12-11, last commit 2022-12-05, main language Python  
+13 stars per week over 116 weeks  
+1,519 stars, 116 forks, 40 watches  
+created 2020-12-11, last commit 2023-03-04, main language Python  
 <sub><sup>automl, computer-vision-algorithms, deep-learning-algorithms, deep-learning-library, deep-learning-models, image-classification, keras, model-sparsification, nlp, object-detection, onnx, pruning, pruning-algorithms, pytorch, recipe-driven-approaches, smaller-models, sparsification, sparsification-recipes, sparsity, tensorflow</sup></sub>
 
 
-### [mesh](https://github.com/tensorflow/mesh) by [tensorflow](https://github.com/tensorflow)  
-Mesh TensorFlow: Model Parallelism Made Easier  
-[https://github.com/tensorflow/mesh](https://github.com/tensorflow/mesh)  
-6.09 stars per week over 219 weeks  
-1,340 stars, 233 forks, 43 watches  
-created 2018-09-20, last commit 2022-10-04, main language Python  
+### [BasicSR](https://github.com/xpixelgroup/basicsr) by [xpixelgroup](https://github.com/xpixelgroup)  
+BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.  
+[https://basicsr.readthedocs.io/en/latest/](https://basicsr.readthedocs.io/en/latest/)  
+[https://github.com/xpixelgroup/basicsr](https://github.com/xpixelgroup/basicsr)  
+17 stars per week over 254 weeks  
+4,434 stars, 899 forks, 88 watches  
+created 2018-04-19, last commit 2023-02-02, main language Python  
+<sub><sup>basicsr, basicvsr, dfdnet, ecbsr, edsr, edvr, esrgan, pytorch, rcan, restoration, srgan, srresnet, stylegan2, super-resolution, swinir</sup></sub>
 
 
-### [torchrec](https://github.com/pytorch/torchrec) by [pytorch](https://github.com/pytorch)  
-torchrec: Pytorch domain library for recommendation systems  
-[https://github.com/pytorch/torchrec](https://github.com/pytorch/torchrec)  
-16 stars per week over 73 weeks  
-1,231 stars, 200 forks, 24 watches  
-created 2021-07-12, last commit 2022-12-06, main language Python  
-<sub><sup>cuda, deep-learning, gpu, pytorch, recommendation-system, recommender-system, sharding</sup></sub>
+### [spektral](https://github.com/danielegrattarola/spektral) by [danielegrattarola](https://github.com/danielegrattarola)  
+spektral: Graph Neural Networks with Keras and Tensorflow 2.  
+[https://graphneural.network](https://graphneural.network)  
+[https://github.com/danielegrattarola/spektral](https://github.com/danielegrattarola/spektral)  
+10 stars per week over 215 weeks  
+2,235 stars, 332 forks, 43 watches  
+created 2019-01-17, last commit 2023-02-11, main language Python  
+<sub><sup>deep-learning, graph-deep-learning, graph-neural-networks, keras, python, tensorflow, tensorflow2</sup></sub>
 
 
-### [alpa](https://github.com/alpa-projects/alpa) by [alpa-projects](https://github.com/alpa-projects)  
-alpa: Training and serving large-scale neural networks  
-[https://alpa.ai](https://alpa.ai)  
-[https://github.com/alpa-projects/alpa](https://github.com/alpa-projects/alpa)  
-12 stars per week over 93 weeks  
-1,203 stars, 130 forks, 20 watches  
-created 2021-02-22, last commit 2022-12-07, main language Python  
-<sub><sup>alpa, auto-parallelization, compiler, deep-learning, distributed-computing, distributed-training, high-performance-computing, jax, llm, machine-learning</sup></sub>
+### [thinc](https://github.com/explosion/thinc) by [explosion](https://github.com/explosion)  
+thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries  
+[https://thinc.ai](https://thinc.ai)  
+[https://github.com/explosion/thinc](https://github.com/explosion/thinc)  
+6.11 stars per week over 437 weeks  
+2,673 stars, 270 forks, 82 watches  
+created 2014-10-16, last commit 2023-03-03, main language Python  
+<sub><sup>ai, artificial-intelligence, deep-learning, functional-programming, jax, machine-learning, machine-learning-library, mxnet, natural-language-processing, nlp, python, pytorch, spacy, tensorflow, type-checking</sup></sub>
 
 
-### [pytorch_image_classification](https://github.com/hysts/pytorch_image_classification) by [hysts](https://github.com/hysts)  
-pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet  
-[https://github.com/hysts/pytorch_image_classification](https://github.com/hysts/pytorch_image_classification)  
-4.43 stars per week over 260 weeks  
-1,154 stars, 291 forks, 27 watches  
-created 2017-12-09, last commit 2021-12-12, main language Python  
-<sub><sup>cifar10, computer-vision, fashion-mnist, imagenet, pytorch</sup></sub>
+### [PyTorch-BigGraph](https://github.com/facebookresearch/pytorch-biggraph) by [facebookresearch](https://github.com/facebookresearch)  
+PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.  
+[https://torchbiggraph.readthedocs.io/](https://torchbiggraph.readthedocs.io/)  
+[https://github.com/facebookresearch/pytorch-biggraph](https://github.com/facebookresearch/pytorch-biggraph)  
+13 stars per week over 230 weeks  
+3,194 stars, 438 forks, 92 watches  
+created 2018-10-01, last commit 2022-12-08, main language Python  
 
 
 ### [WeightWatcher](https://github.com/calculatedcontent/weightwatcher) by [calculatedcontent](https://github.com/calculatedcontent)  
 WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks  
 [https://github.com/calculatedcontent/weightwatcher](https://github.com/calculatedcontent/weightwatcher)  
-4.9 stars per week over 210 weeks  
-1,029 stars, 94 forks, 29 watches  
-created 2018-11-28, last commit 2022-12-07, main language Python  
+5.18 stars per week over 222 weeks  
+1,153 stars, 100 forks, 29 watches  
+created 2018-11-28, last commit 2023-03-04, main language Python  
+
+
+### [keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models) by [leondgarse](https://github.com/leondgarse)  
+keras_cv_attention_models: Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox  
+[https://github.com/leondgarse/keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models)  
+4.32 stars per week over 82 weeks  
+358 stars, 59 forks, 17 watches  
+created 2021-08-02, last commit 2023-02-25, main language Python  
+<sub><sup>anchor-free, attention, coco, detection, imagenet, keras, model, recognition, tensorflow, tf, tf2, visualizing</sup></sub>
+
+
+### [VQGAN-CLIP](https://github.com/nerdyrodent/vqgan-clip) by [nerdyrodent](https://github.com/nerdyrodent)  
+VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.  
+[https://github.com/nerdyrodent/vqgan-clip](https://github.com/nerdyrodent/vqgan-clip)  
+27 stars per week over 87 weeks  
+2,373 stars, 410 forks, 53 watches  
+created 2021-07-02, last commit 2022-10-02, main language Python  
+<sub><sup>text-to-image, text2image</sup></sub>
 
 
 ### [similarity](https://github.com/tensorflow/similarity) by [tensorflow](https://github.com/tensorflow)  
 similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.  
 [https://github.com/tensorflow/similarity](https://github.com/tensorflow/similarity)  
-6.96 stars per week over 129 weeks  
-900 stars, 84 forks, 27 watches  
-created 2020-06-15, last commit 2022-12-02, main language Python  
+6.53 stars per week over 141 weeks  
+926 stars, 91 forks, 31 watches  
+created 2020-06-15, last commit 2023-01-16, main language Python  
 <sub><sup>barlow-twins, clustering, contrastive-learning, cosine-similarity, deep-learning, knn, machine-learning, metric-learning, nearest-neighbor-search, nearest-neighbors, python, simclr, simclr2, similarity-learning, similarity-search, simsiam, tensorflow, unsupervised-learning</sup></sub>
 
 
-### [rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer) by [kakaobrain](https://github.com/kakaobrain)  
-rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)  
-[https://github.com/kakaobrain/rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer)  
-13 stars per week over 39 weeks  
-521 stars, 60 forks, 15 watches  
-created 2022-03-03, last commit 2022-08-18, main language Jupyter Notebook  
+### [git-re-basin](https://github.com/samuela/git-re-basin) by [samuela](https://github.com/samuela)  
+git-re-basin: Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"  
+[https://arxiv.org/abs/2209.04836](https://arxiv.org/abs/2209.04836)  
+[https://github.com/samuela/git-re-basin](https://github.com/samuela/git-re-basin)  
+15 stars per week over 24 weeks  
+378 stars, 33 forks, 5 watches  
+created 2022-09-13, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, deeplearning, jax, machine-learning, neural-networks</sup></sub>
 
 
-### [ppuda](https://github.com/facebookresearch/ppuda) by [facebookresearch](https://github.com/facebookresearch)  
-ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)  
-[https://github.com/facebookresearch/ppuda](https://github.com/facebookresearch/ppuda)  
-7.76 stars per week over 58 weeks  
-457 stars, 61 forks, 17 watches  
-created 2021-10-21, last commit 2022-07-26, main language Python  
+### [mesh](https://github.com/tensorflow/mesh) by [tensorflow](https://github.com/tensorflow)  
+Mesh TensorFlow: Model Parallelism Made Easier  
+[https://github.com/tensorflow/mesh](https://github.com/tensorflow/mesh)  
+5.92 stars per week over 232 weeks  
+1,375 stars, 241 forks, 47 watches  
+created 2018-09-20, last commit 2023-01-25, main language Python  
 
 
-### [Deep-Video-Inpainting](https://github.com/mcahny/deep-video-inpainting) by [mcahny](https://github.com/mcahny)  
-Deep-Video-Inpainting: Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)  
-[https://github.com/mcahny/deep-video-inpainting](https://github.com/mcahny/deep-video-inpainting)  
-2.41 stars per week over 185 weeks  
-445 stars, 86 forks, 13 watches  
-created 2019-05-22, last commit 2020-12-10, main language Python  
+### [asyncpraw](https://github.com/praw-dev/asyncpraw) by [praw-dev](https://github.com/praw-dev)  
+asyncpraw: Async PRAW, an abbreviation for "Asynchronous Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
+[https://asyncpraw.readthedocs.io](https://asyncpraw.readthedocs.io)  
+[https://github.com/praw-dev/asyncpraw](https://github.com/praw-dev/asyncpraw)  
+0.39 stars per week over 212 weeks  
+82 stars, 14 forks, 3 watches  
+created 2019-02-05, last commit 2023-02-25, main language Python  
+<sub><sup>api, async, asyncpraw, oauth, praw, python, reddit, reddit-api</sup></sub>
 
 
-### [STTN](https://github.com/researchmm/sttn) by [researchmm](https://github.com/researchmm)  
-[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting  
-[https://arxiv.org/abs/2007.10247](https://arxiv.org/abs/2007.10247)  
-[https://github.com/researchmm/sttn](https://github.com/researchmm/sttn)  
-2.82 stars per week over 125 weeks  
-354 stars, 69 forks, 20 watches  
-created 2020-07-10, last commit 2021-07-26, main language Jupyter Notebook  
-<sub><sup>completing-videos, spatial-temporal, transformer, video-inpainting</sup></sub>
+### [rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer) by [kakaobrain](https://github.com/kakaobrain)  
+rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)  
+[https://github.com/kakaobrain/rq-vae-transformer](https://github.com/kakaobrain/rq-vae-transformer)  
+10 stars per week over 52 weeks  
+539 stars, 61 forks, 15 watches  
+created 2022-03-03, last commit 2022-08-18, main language Jupyter Notebook  
 
 
-### [git-re-basin](https://github.com/samuela/git-re-basin) by [samuela](https://github.com/samuela)  
-git-re-basin: Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"  
-[https://arxiv.org/abs/2209.04836](https://arxiv.org/abs/2209.04836)  
-[https://github.com/samuela/git-re-basin](https://github.com/samuela/git-re-basin)  
-28 stars per week over 12 weeks  
-344 stars, 27 forks, 4 watches  
-created 2022-09-13, last commit 2022-10-12, main language Python  
-<sub><sup>deep-learning, deeplearning, jax, machine-learning, neural-networks</sup></sub>
+### [FGVC](https://github.com/vt-vl-lab/fgvc) by [vt-vl-lab](https://github.com/vt-vl-lab)  
+FGVC: [ECCV 2020] Flow-edge Guided Video Completion   
+[https://github.com/vt-vl-lab/fgvc](https://github.com/vt-vl-lab/fgvc)  
+11 stars per week over 129 weeks  
+1,482 stars, 242 forks, 68 watches  
+created 2020-09-09, last commit 2021-12-14, main language Python  
 
 
-### [keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models) by [leondgarse](https://github.com/leondgarse)  
-keras_cv_attention_models: Keras/Tensorflow models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,gcvit,ghostnetv2,gmlp,halonet,hornet,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox  
-[https://github.com/leondgarse/keras_cv_attention_models](https://github.com/leondgarse/keras_cv_attention_models)  
-4.37 stars per week over 70 weeks  
-307 stars, 49 forks, 16 watches  
-created 2021-08-02, last commit 2022-12-04, main language Python  
-<sub><sup>anchor-free, attention, coco, detection, imagenet, keras, model, recognition, tensorflow, tf, tf2, visualizing</sup></sub>
+### [ppuda](https://github.com/facebookresearch/ppuda) by [facebookresearch](https://github.com/facebookresearch)  
+ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)  
+[https://github.com/facebookresearch/ppuda](https://github.com/facebookresearch/ppuda)  
+6.54 stars per week over 71 weeks  
+467 stars, 60 forks, 19 watches  
+created 2021-10-21, last commit 2022-07-26, main language Python  
 
 
 ### [ModernConvNets](https://github.com/nyandwi/modernconvnets) by [nyandwi](https://github.com/nyandwi)  
 ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras  
 [https://github.com/nyandwi/modernconvnets](https://github.com/nyandwi/modernconvnets)  
-7.14 stars per week over 42 weeks  
-306 stars, 31 forks, 7 watches  
+5.52 stars per week over 55 weeks  
+306 stars, 32 forks, 7 watches  
 created 2022-02-10, last commit 2022-10-05, main language Jupyter Notebook  
 <sub><sup>cnns, computer-vision, convnets, convolutional-neural-networks, deep-learning-algorithms, image-classification, keras, neural-networks, tensorflow</sup></sub>
 
 
+### [valhalla-nmt](https://github.com/jerryyli/valhalla-nmt) by [jerryyli](https://github.com/jerryyli)  
+valhalla-nmt: Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"  
+[https://github.com/jerryyli/valhalla-nmt](https://github.com/jerryyli/valhalla-nmt)  
+0.46 stars per week over 49 weeks  
+23 stars, 4 forks, 1 watches  
+created 2022-03-22, last commit 2023-02-19, main language Python  
+<sub><sup>computer-vision, machine-translation, multimodal-learning, natural-language-processing</sup></sub>
+
+
 ### [auto-tensorflow](https://github.com/rafiqhasan/auto-tensorflow) by [rafiqhasan](https://github.com/rafiqhasan)  
 auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/  
 [https://github.com/rafiqhasan/auto-tensorflow](https://github.com/rafiqhasan/auto-tensorflow)  
-1.9 stars per week over 74 weeks  
-141 stars, 31 forks, 12 watches  
-created 2021-07-05, last commit 2022-10-31, main language Python  
+2.0 stars per week over 86 weeks  
+174 stars, 34 forks, 13 watches  
+created 2021-07-05, last commit 2022-12-09, main language Python  
 <sub><sup>auto-tensorflow, automl, autotensorflow, deeplearning, machine-learning, machinelearning, neural-networks, tensorflow, tfx</sup></sub>
 
 
+### [pytorch_image_classification](https://github.com/hysts/pytorch_image_classification) by [hysts](https://github.com/hysts)  
+pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet  
+[https://github.com/hysts/pytorch_image_classification](https://github.com/hysts/pytorch_image_classification)  
+4.32 stars per week over 273 weeks  
+1,179 stars, 292 forks, 27 watches  
+created 2017-12-09, last commit 2021-12-12, main language Python  
+<sub><sup>cifar10, computer-vision, fashion-mnist, imagenet, pytorch</sup></sub>
+
+
 ### [tigerlily](https://github.com/benedekrozemberczki/tigerlily) by [benedekrozemberczki](https://github.com/benedekrozemberczki)  
 TigerLily: Finding drug interactions in silico with the Graph.  
 [https://github.com/benedekrozemberczki/tigerlily](https://github.com/benedekrozemberczki/tigerlily)  
-2.23 stars per week over 40 weeks  
+1.7 stars per week over 52 weeks  
 90 stars, 9 forks, 1 watches  
-created 2022-02-28, last commit 2022-11-06, main language Jupyter Notebook  
+created 2022-02-28, last commit 2022-12-17, main language Jupyter Notebook  
 <sub><sup>biology, ddi, deep-learning, drug-drug-interaction, embedding, gradient-boosting, graph, graph-database, graph-embedding, graph-machine-learning, heterogeneous-graph, knowledge-graph, machine-learning, network-science, node, node-embedding, pharmaceuticals, tigergraph, unsupervised-learning</sup></sub>
 
 
-### [asyncpraw](https://github.com/praw-dev/asyncpraw) by [praw-dev](https://github.com/praw-dev)  
-asyncpraw: Async PRAW, an abbreviation for "Asynchronous Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.  
-[https://asyncpraw.readthedocs.io](https://asyncpraw.readthedocs.io)  
-[https://github.com/praw-dev/asyncpraw](https://github.com/praw-dev/asyncpraw)  
-0.39 stars per week over 200 weeks  
-78 stars, 14 forks, 3 watches  
-created 2019-02-05, last commit 2022-11-28, main language Python  
-<sub><sup>api, async, asyncpraw, oauth, praw, python, reddit, reddit-api</sup></sub>
+### [Deep-Video-Inpainting](https://github.com/mcahny/deep-video-inpainting) by [mcahny](https://github.com/mcahny)  
+Deep-Video-Inpainting: Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)  
+[https://github.com/mcahny/deep-video-inpainting](https://github.com/mcahny/deep-video-inpainting)  
+2.34 stars per week over 197 weeks  
+463 stars, 88 forks, 14 watches  
+created 2019-05-22, last commit 2020-12-10, main language Python  
 
 
-### [valhalla-nmt](https://github.com/jerryyli/valhalla-nmt) by [jerryyli](https://github.com/jerryyli)  
-valhalla-nmt: Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"  
-[https://github.com/jerryyli/valhalla-nmt](https://github.com/jerryyli/valhalla-nmt)  
-0.62 stars per week over 37 weeks  
-23 stars, 3 forks, 1 watches  
-created 2022-03-22, last commit 2022-06-06, main language Python  
-<sub><sup>computer-vision, machine-translation, multimodal-learning, natural-language-processing</sup></sub>
+### [STTN](https://github.com/researchmm/sttn) by [researchmm](https://github.com/researchmm)  
+[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting  
+[https://arxiv.org/abs/2007.10247](https://arxiv.org/abs/2007.10247)  
+[https://github.com/researchmm/sttn](https://github.com/researchmm/sttn)  
+2.62 stars per week over 138 weeks  
+362 stars, 72 forks, 20 watches  
+created 2020-07-10, last commit 2021-07-26, main language Jupyter Notebook  
+<sub><sup>completing-videos, spatial-temporal, transformer, video-inpainting</sup></sub>
+
+
+### [SDNE](https://github.com/suanrong/sdne) by [suanrong](https://github.com/suanrong)  
+SDNE: This is a implementation of SDNE (Structural Deep Network embedding)  
+[http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding](http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding)  
+[https://github.com/suanrong/sdne](https://github.com/suanrong/sdne)  
+0.95 stars per week over 326 weeks  
+310 stars, 123 forks, 10 watches  
+created 2016-11-30, last commit 2021-09-10, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/ml-interpretability.md b/categories/ml-interpretability.md
index 47dc27e..71a6fb7 100644
--- a/categories/ml-interpretability.md
+++ b/categories/ml-interpretability.md
@@ -8,90 +8,90 @@ Checkout the interactive version that you can filter and sort:
 ### [shap](https://github.com/slundberg/shap) by [slundberg](https://github.com/slundberg)  
 shap: A game theoretic approach to explain the output of any machine learning model.  
 [https://github.com/slundberg/shap](https://github.com/slundberg/shap)  
-57 stars per week over 315 weeks  
-18,096 stars, 2,722 forks, 260 watches  
+57 stars per week over 327 weeks  
+18,682 stars, 2,815 forks, 263 watches  
 created 2016-11-22, last commit 2022-06-16, main language Jupyter Notebook  
 <sub><sup>deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley</sup></sub>
 
 
-### [lime](https://github.com/marcotcr/lime) by [marcotcr](https://github.com/marcotcr)  
-Lime: Explaining the predictions of any machine learning classifier  
-[https://github.com/marcotcr/lime](https://github.com/marcotcr/lime)  
-29 stars per week over 351 weeks  
-10,276 stars, 1,685 forks, 272 watches  
-created 2016-03-15, last commit 2021-07-29, main language JavaScript  
-
-
 ### [captum](https://github.com/pytorch/captum) by [pytorch](https://github.com/pytorch)  
 captum: Model interpretability and understanding for PyTorch  
 [https://captum.ai](https://captum.ai)  
 [https://github.com/pytorch/captum](https://github.com/pytorch/captum)  
-21 stars per week over 171 weeks  
-3,615 stars, 388 forks, 212 watches  
-created 2019-08-27, last commit 2022-11-18, main language Python  
+20 stars per week over 183 weeks  
+3,779 stars, 404 forks, 214 watches  
+created 2019-08-27, last commit 2023-02-03, main language Python  
 <sub><sup>feature-attribution, feature-importance, interpretability, interpretable-ai, interpretable-ml</sup></sub>
 
 
-### [lit](https://github.com/pair-code/lit) by [pair-code](https://github.com/pair-code)  
-lit: The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.  
-[https://pair-code.github.io/lit](https://pair-code.github.io/lit)  
-[https://github.com/pair-code/lit](https://github.com/pair-code/lit)  
-24 stars per week over 123 weeks  
-3,023 stars, 318 forks, 72 watches  
-created 2020-07-28, last commit 2022-12-02, main language TypeScript  
-<sub><sup>machine-learning, natural-language-processing, visualization</sup></sub>
+### [explainerdashboard](https://github.com/oegedijk/explainerdashboard) by [oegedijk](https://github.com/oegedijk)  
+explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.  
+[http://explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io)  
+[https://github.com/oegedijk/explainerdashboard](https://github.com/oegedijk/explainerdashboard)  
+9.1 stars per week over 174 weeks  
+1,588 stars, 208 forks, 18 watches  
+created 2019-10-30, last commit 2023-02-18, main language Python  
+<sub><sup>dash, dashboard, data-scientists, explainer, inner-workings, interactive-dashboards, interactive-plots, model-predictions, permutation-importances, plotly, shap, shap-values, xai, xai-library</sup></sub>
 
 
 ### [alibi](https://github.com/seldonio/alibi) by [seldonio](https://github.com/seldonio)  
 alibi: Algorithms for explaining machine learning models  
 [https://docs.seldon.io/projects/alibi/en/stable/](https://docs.seldon.io/projects/alibi/en/stable/)  
 [https://github.com/seldonio/alibi](https://github.com/seldonio/alibi)  
-9.48 stars per week over 197 weeks  
-1,868 stars, 213 forks, 43 watches  
-created 2019-02-26, last commit 2022-11-24, main language Python  
+9.29 stars per week over 209 weeks  
+1,949 stars, 221 forks, 42 watches  
+created 2019-02-26, last commit 2023-03-01, main language Python  
 <sub><sup>counterfactual, explanations, interpretability, machine-learning, xai</sup></sub>
 
 
+### [lime](https://github.com/marcotcr/lime) by [marcotcr](https://github.com/marcotcr)  
+Lime: Explaining the predictions of any machine learning classifier  
+[https://github.com/marcotcr/lime](https://github.com/marcotcr/lime)  
+28 stars per week over 363 weeks  
+10,476 stars, 1,716 forks, 270 watches  
+created 2016-03-15, last commit 2021-07-29, main language JavaScript  
+
+
+### [PiML-Toolbox](https://github.com/selfexplainml/piml-toolbox) by [selfexplainml](https://github.com/selfexplainml)  
+PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation  
+[https://selfexplainml.github.io/PiML-Toolbox](https://selfexplainml.github.io/PiML-Toolbox)  
+[https://github.com/selfexplainml/piml-toolbox](https://github.com/selfexplainml/piml-toolbox)  
+12 stars per week over 44 weeks  
+550 stars, 61 forks, 15 watches  
+created 2022-04-29, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>interpretable-machine-learning, low-code, ml-workflow, model-diagnostics</sup></sub>
+
+
+### [lit](https://github.com/pair-code/lit) by [pair-code](https://github.com/pair-code)  
+lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.  
+[https://pair-code.github.io/lit](https://pair-code.github.io/lit)  
+[https://github.com/pair-code/lit](https://github.com/pair-code/lit)  
+22 stars per week over 135 weeks  
+3,082 stars, 327 forks, 70 watches  
+created 2020-07-28, last commit 2022-12-02, main language TypeScript  
+<sub><sup>machine-learning, natural-language-processing, visualization</sup></sub>
+
+
 ### [ecco](https://github.com/jalammar/ecco) by [jalammar](https://github.com/jalammar)  
 ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).  
 [https://ecco.readthedocs.io](https://ecco.readthedocs.io)  
 [https://github.com/jalammar/ecco](https://github.com/jalammar/ecco)  
-14 stars per week over 108 weeks  
-1,549 stars, 108 forks, 20 watches  
+13 stars per week over 121 weeks  
+1,615 stars, 118 forks, 21 watches  
 created 2020-11-07, last commit 2022-01-18, main language Jupyter Notebook  
 <sub><sup>explorables, language-models, natural-language-processing, nlp, pytorch, visualization</sup></sub>
 
 
-### [explainerdashboard](https://github.com/oegedijk/explainerdashboard) by [oegedijk](https://github.com/oegedijk)  
-explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.  
-[http://explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io)  
-[https://github.com/oegedijk/explainerdashboard](https://github.com/oegedijk/explainerdashboard)  
-8.62 stars per week over 162 weeks  
-1,396 stars, 182 forks, 15 watches  
-created 2019-10-30, last commit 2022-06-16, main language Python  
-<sub><sup>dash, dashboard, data-scientists, explainer, inner-workings, interactive-dashboards, interactive-plots, model-predictions, permutation-importances, plotly, shap, shap-values, xai, xai-library</sup></sub>
-
-
 ### [transformers-interpret](https://github.com/cdpierse/transformers-interpret) by [cdpierse](https://github.com/cdpierse)  
 transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.   
 [https://github.com/cdpierse/transformers-interpret](https://github.com/cdpierse/transformers-interpret)  
-6.87 stars per week over 132 weeks  
-907 stars, 80 forks, 16 watches  
-created 2020-05-27, last commit 2022-11-17, main language Jupyter Notebook  
+6.74 stars per week over 144 weeks  
+975 stars, 86 forks, 17 watches  
+created 2020-05-27, last commit 2023-01-14, main language Jupyter Notebook  
 <sub><sup>captum, computer-vision, deep-learning, explainable-ai, interpretability, machine-learning, model-explainability, natural-language-processing, neural-network, nlp, transformers, transformers-model</sup></sub>
 
 
-### [PiML-Toolbox](https://github.com/selfexplainml/piml-toolbox) by [selfexplainml](https://github.com/selfexplainml)  
-PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation  
-[https://selfexplainml.github.io/PiML-Toolbox](https://selfexplainml.github.io/PiML-Toolbox)  
-[https://github.com/selfexplainml/piml-toolbox](https://github.com/selfexplainml/piml-toolbox)  
-15 stars per week over 31 weeks  
-482 stars, 52 forks, 12 watches  
-created 2022-04-29, last commit 2022-12-01, main language Jupyter Notebook  
-<sub><sup>interpretable-machine-learning, low-code, ml-workflow, model-diagnostics</sup></sub>
-
-
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/ml-ops.md b/categories/ml-ops.md
index 0275b9b..8fd665f 100644
--- a/categories/ml-ops.md
+++ b/categories/ml-ops.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 37 curated ml-ops Python libraries and frameworks ordered by stars.  
+A selection of 40 curated ml-ops Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,148 +9,158 @@ Checkout the interactive version that you can filter and sort:
 airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows  
 [https://airflow.apache.org/](https://airflow.apache.org/)  
 [https://github.com/apache/airflow](https://github.com/apache/airflow)  
-71 stars per week over 399 weeks  
-28,369 stars, 11,636 forks, 766 watches  
-created 2015-04-13, last commit 2022-12-07, main language Python  
+71 stars per week over 411 weeks  
+29,349 stars, 12,007 forks, 758 watches  
+created 2015-04-13, last commit 2023-03-03, main language Python  
 <sub><sup>airflow, apache, apache-airflow, hacktoberfest, python, scheduler, workflow</sup></sub>
 
 
-### [luigi](https://github.com/spotify/luigi) by [spotify](https://github.com/spotify)  
-Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.   
-[https://github.com/spotify/luigi](https://github.com/spotify/luigi)  
-30 stars per week over 532 weeks  
-16,176 stars, 2,353 forks, 485 watches  
-created 2012-09-20, last commit 2022-12-02, main language Python  
-<sub><sup>hadoop, luigi, orchestration-framework, python, scheduling</sup></sub>
+### [ray](https://github.com/ray-project/ray) by [ray-project](https://github.com/ray-project)  
+Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.  
+[https://ray.io](https://ray.io)  
+[https://github.com/ray-project/ray](https://github.com/ray-project/ray)  
+73 stars per week over 331 weeks  
+24,399 stars, 4,238 forks, 441 watches  
+created 2016-10-25, last commit 2023-03-04, main language Python  
+<sub><sup>automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow</sup></sub>
 
 
 ### [mlflow](https://github.com/mlflow/mlflow)  
 mlflow: Open source platform for the machine learning lifecycle  
 [https://mlflow.org](https://mlflow.org)  
 [https://github.com/mlflow/mlflow](https://github.com/mlflow/mlflow)  
-55 stars per week over 235 weeks  
-13,162 stars, 3,070 forks, 286 watches  
-created 2018-06-05, last commit 2022-12-07, main language Python  
+55 stars per week over 247 weeks  
+13,770 stars, 3,217 forks, 287 watches  
+created 2018-06-05, last commit 2023-03-03, main language Python  
 <sub><sup>ai, apache-spark, machine-learning, ml, mlflow, model-management</sup></sub>
 
 
-### [horovod](https://github.com/horovod/horovod)  
-horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.  
-[http://horovod.ai](http://horovod.ai)  
-[https://github.com/horovod/horovod](https://github.com/horovod/horovod)  
-46 stars per week over 278 weeks  
-12,875 stars, 2,143 forks, 331 watches  
-created 2017-08-09, last commit 2022-11-30, main language Python  
-<sub><sup>baidu, deep-learning, deeplearning, keras, machine-learning, machinelearning, mpi, mxnet, pytorch, ray, spark, tensorflow, uber</sup></sub>
-
-
 ### [prefect](https://github.com/prefecthq/prefect) by [prefecthq](https://github.com/prefecthq)  
 prefect: The easiest way to coordinate your dataflow  
 [https://prefect.io](https://prefect.io)  
 [https://github.com/prefecthq/prefect](https://github.com/prefecthq/prefect)  
-45 stars per week over 231 weeks  
-10,618 stars, 1,069 forks, 153 watches  
-created 2018-06-29, last commit 2022-12-06, main language Python  
+46 stars per week over 244 weeks  
+11,414 stars, 1,142 forks, 156 watches  
+created 2018-06-29, last commit 2023-03-03, main language Python  
 <sub><sup>automation, data, data-engineering, data-ops, data-science, infrastructure, ml-ops, observability, orchestration, orion, pipeline, prefect, python, workflow, workflow-engine</sup></sub>
 
 
-### [ludwig](https://github.com/uber/ludwig) by [uber](https://github.com/uber)  
-ludwig: Data-centric declarative deep learning framework  
-[http://ludwig.ai](http://ludwig.ai)  
-[https://github.com/uber/ludwig](https://github.com/uber/ludwig)  
-41 stars per week over 205 weeks  
-8,645 stars, 1,020 forks, 181 watches  
-created 2018-12-27, last commit 2022-12-06, main language Python  
-<sub><sup>computer-vision, data-centric, data-science, datascience, deep, deep-learning, deeplearning, learning, machine, machine-learning, machinelearning, ml, natural-language, natural-language-processing, neural-network, python, pytorch</sup></sub>
-
-
-### [kedro](https://github.com/kedro-org/kedro) by [kedro-org](https://github.com/kedro-org)  
-kedro: A Python framework for creating reproducible, maintainable and modular data science code.  
-[https://kedro.org](https://kedro.org)  
-[https://github.com/kedro-org/kedro](https://github.com/kedro-org/kedro)  
-41 stars per week over 189 weeks  
-7,871 stars, 739 forks, 103 watches  
-created 2019-04-18, last commit 2022-12-06, main language Python  
-<sub><sup>experiment-tracking, hacktoberfest, kedro, machine-learning, mlops, pipeline, python</sup></sub>
+### [dagster](https://github.com/dagster-io/dagster) by [dagster-io](https://github.com/dagster-io)  
+dagster: An orchestration platform for the development, production, and observation of data assets.  
+[https://dagster.io](https://dagster.io)  
+[https://github.com/dagster-io/dagster](https://github.com/dagster-io/dagster)  
+26 stars per week over 252 weeks  
+6,671 stars, 841 forks, 92 watches  
+created 2018-04-30, last commit 2023-03-03, main language Python  
+<sub><sup>analytics, dagster, data-engineering, data-integration, data-orchestrator, data-pipelines, data-science, etl, metadata, mlops, orchestration, python, scheduler, workflow, workflow-automation</sup></sub>
 
 
 ### [great_expectations](https://github.com/great-expectations/great_expectations) by [great-expectations](https://github.com/great-expectations)  
 great_expectations: Always know what to expect from your data.  
 [https://docs.greatexpectations.io/](https://docs.greatexpectations.io/)  
 [https://github.com/great-expectations/great_expectations](https://github.com/great-expectations/great_expectations)  
-28 stars per week over 273 weeks  
-7,712 stars, 1,144 forks, 70 watches  
-created 2017-09-11, last commit 2022-12-06, main language Python  
+28 stars per week over 285 weeks  
+8,050 stars, 1,249 forks, 71 watches  
+created 2017-09-11, last commit 2023-03-03, main language Python  
 <sub><sup>cleandata, data-engineering, data-profilers, data-profiling, data-quality, data-science, data-unit-tests, datacleaner, datacleaning, dataquality, dataunittest, eda, exploratory-analysis, exploratory-data-analysis, exploratorydataanalysis, mlops, pipeline, pipeline-debt, pipeline-testing, pipeline-tests</sup></sub>
 
 
-### [metaflow](https://github.com/netflix/metaflow) by [netflix](https://github.com/netflix)  
-metaflow: :rocket: Build and manage real-life data science projects with ease!  
-[https://metaflow.org](https://metaflow.org)  
-[https://github.com/netflix/metaflow](https://github.com/netflix/metaflow)  
-36 stars per week over 168 weeks  
-6,193 stars, 577 forks, 239 watches  
-created 2019-09-17, last commit 2022-12-06, main language Python  
-<sub><sup>ai, cli, data-science, datascience, high-performance-computing, kubernetes, machine-learning, ml, ml-infrastructure, ml-platform, mlops, model-management, productivity, python, r, r-package, reproducible-research, rstats</sup></sub>
+### [mage-ai](https://github.com/mage-ai/mage-ai)  
+mage-ai: 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.  
+[https://www.mage.ai/](https://www.mage.ai/)  
+[https://github.com/mage-ai/mage-ai](https://github.com/mage-ai/mage-ai)  
+85 stars per week over 41 weeks  
+3,562 stars, 276 forks, 46 watches  
+created 2022-05-16, last commit 2023-03-04, main language Python  
+<sub><sup>artificial-intelligence, data, data-engineering, data-integration, data-pipelines, data-science, dbt, elt, etl, machine-learning, orchestration, pipeline, pipelines, python, reverse-etl, spark, sql, transformation</sup></sub>
 
 
 ### [haystack](https://github.com/deepset-ai/haystack) by [deepset-ai](https://github.com/deepset-ai)  
-haystack: :mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.  
-[https://deepset.ai/haystack](https://deepset.ai/haystack)  
+haystack: :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.  
+[https://haystack.deepset.ai](https://haystack.deepset.ai)  
 [https://github.com/deepset-ai/haystack](https://github.com/deepset-ai/haystack)  
-38 stars per week over 159 weeks  
-6,155 stars, 955 forks, 89 watches  
-created 2019-11-14, last commit 2022-12-07, main language Python  
-<sub><sup>ai, bert, dpr, elasticsearch, information-retrieval, language-model, machine-learning, natural-language-processing, neural-search, nlp, python, pytorch, question-answering, search-engine, semantic-search, squad, summarization, transfer-learning, transformers</sup></sub>
+41 stars per week over 172 weeks  
+7,133 stars, 1,066 forks, 103 watches  
+created 2019-11-14, last commit 2023-03-03, main language Python  
+<sub><sup>ai, bert, chatgpt, elasticsearch, generative-ai, gpt-3, information-retrieval, language-model, large-language-models, machine-learning, natural-language-processing, nlp, python, pytorch, question-answering, semantic-search, squad, summarization, transfer-learning, transformers</sup></sub>
 
 
-### [dbt-core](https://github.com/dbt-labs/dbt-core) by [dbt-labs](https://github.com/dbt-labs)  
-dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  
-[https://getdbt.com](https://getdbt.com)  
-[https://github.com/dbt-labs/dbt-core](https://github.com/dbt-labs/dbt-core)  
-17 stars per week over 351 weeks  
-6,151 stars, 1,084 forks, 128 watches  
-created 2016-03-10, last commit 2022-12-07, main language Python  
-<sub><sup>analytics, business-intelligence, data-modeling, dbt-viewpoint, elt, pypa, slack</sup></sub>
+### [ludwig](https://github.com/uber/ludwig) by [uber](https://github.com/uber)  
+ludwig: Data-centric declarative deep learning framework  
+[http://ludwig.ai](http://ludwig.ai)  
+[https://github.com/uber/ludwig](https://github.com/uber/ludwig)  
+40 stars per week over 218 weeks  
+8,780 stars, 1,030 forks, 183 watches  
+created 2018-12-27, last commit 2023-03-04, main language Python  
+<sub><sup>computer-vision, data-centric, data-science, datascience, deep, deep-learning, deeplearning, learning, machine, machine-learning, machinelearning, ml, natural-language, natural-language-processing, neural-network, python, pytorch</sup></sub>
 
 
-### [dagster](https://github.com/dagster-io/dagster) by [dagster-io](https://github.com/dagster-io)  
-dagster: An orchestration platform for the development, production, and observation of data assets.  
-[https://dagster.io](https://dagster.io)  
-[https://github.com/dagster-io/dagster](https://github.com/dagster-io/dagster)  
-24 stars per week over 240 weeks  
-5,988 stars, 743 forks, 87 watches  
-created 2018-04-30, last commit 2022-12-06, main language Python  
-<sub><sup>analytics, dagster, data-engineering, data-integration, data-orchestrator, data-pipelines, data-science, etl, metadata, mlops, orchestration, python, scheduler, workflow, workflow-automation</sup></sub>
+### [horovod](https://github.com/horovod/horovod)  
+horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.  
+[http://horovod.ai](http://horovod.ai)  
+[https://github.com/horovod/horovod](https://github.com/horovod/horovod)  
+44 stars per week over 290 weeks  
+13,071 stars, 2,158 forks, 331 watches  
+created 2017-08-09, last commit 2023-02-23, main language Python  
+<sub><sup>baidu, deep-learning, deeplearning, keras, machine-learning, machinelearning, mpi, mxnet, pytorch, ray, spark, tensorflow, uber</sup></sub>
+
+
+### [kedro](https://github.com/kedro-org/kedro) by [kedro-org](https://github.com/kedro-org)  
+kedro: A Python framework for creating reproducible, maintainable and modular data science code.  
+[https://kedro.org](https://kedro.org)  
+[https://github.com/kedro-org/kedro](https://github.com/kedro-org/kedro)  
+40 stars per week over 202 weeks  
+8,138 stars, 765 forks, 104 watches  
+created 2019-04-18, last commit 2023-03-02, main language Python  
+<sub><sup>experiment-tracking, hacktoberfest, kedro, machine-learning, mlops, pipeline, python</sup></sub>
 
 
 ### [deeplake](https://github.com/activeloopai/hub) by [activeloopai](https://github.com/activeloopai)  
 deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai   
 [https://activeloop.ai](https://activeloop.ai)  
 [https://github.com/activeloopai/hub](https://github.com/activeloopai/hub)  
-29 stars per week over 173 weeks  
-5,059 stars, 409 forks, 63 watches  
-created 2019-08-09, last commit 2022-12-06, main language Python  
+28 stars per week over 186 weeks  
+5,275 stars, 420 forks, 64 watches  
+created 2019-08-09, last commit 2023-03-04, main language Python  
 <sub><sup>ai, computer-vision, cv, data-centric, data-processing, data-science, data-version-control, datalake, datasets, deep-learning, image-processing, jupyter-notebook, lakehouse, machine-learning, ml, mlops, python, pytorch, tensorflow</sup></sub>
 
 
-### [clearml](https://github.com/allegroai/clearml) by [allegroai](https://github.com/allegroai)  
-ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management  
-[https://clear.ml/docs](https://clear.ml/docs)  
-[https://github.com/allegroai/clearml](https://github.com/allegroai/clearml)  
-20 stars per week over 182 weeks  
-3,816 stars, 516 forks, 80 watches  
-created 2019-06-10, last commit 2022-12-06, main language Python  
-<sub><sup>ai, clearml, control, deep-learning, deeplearning, devops, experiment, experiment-manager, k8s, machine-learning, machinelearning, mlops, trains, trainsai, version, version-control</sup></sub>
+### [dbt-core](https://github.com/dbt-labs/dbt-core) by [dbt-labs](https://github.com/dbt-labs)  
+dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  
+[https://getdbt.com](https://getdbt.com)  
+[https://github.com/dbt-labs/dbt-core](https://github.com/dbt-labs/dbt-core)  
+18 stars per week over 364 weeks  
+6,625 stars, 1,169 forks, 135 watches  
+created 2016-03-10, last commit 2023-03-03, main language Python  
+<sub><sup>analytics, business-intelligence, data-modeling, dbt-viewpoint, elt, pypa, slack</sup></sub>
+
+
+### [luigi](https://github.com/spotify/luigi) by [spotify](https://github.com/spotify)  
+Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.   
+[https://github.com/spotify/luigi](https://github.com/spotify/luigi)  
+30 stars per week over 545 weeks  
+16,367 stars, 2,355 forks, 483 watches  
+created 2012-09-20, last commit 2023-02-25, main language Python  
+<sub><sup>hadoop, luigi, orchestration-framework, python, scheduling</sup></sub>
+
+
+### [metaflow](https://github.com/netflix/metaflow) by [netflix](https://github.com/netflix)  
+metaflow: :rocket: Build and manage real-life data science projects with ease!  
+[https://metaflow.org](https://metaflow.org)  
+[https://github.com/netflix/metaflow](https://github.com/netflix/metaflow)  
+35 stars per week over 180 weeks  
+6,450 stars, 614 forks, 248 watches  
+created 2019-09-17, last commit 2023-03-02, main language Python  
+<sub><sup>ai, aws, azure, data-science, datascience, gcp, high-performance-computing, kubernetes, machine-learning, ml, ml-infrastructure, ml-platform, mlops, model-management, productivity, python, r, r-package, reproducible-research, rstats</sup></sub>
 
 
 ### [feast](https://github.com/feast-dev/feast) by [feast-dev](https://github.com/feast-dev)  
 feast: Feature Store for Machine Learning  
 [https://feast.dev](https://feast.dev)  
 [https://github.com/feast-dev/feast](https://github.com/feast-dev/feast)  
-18 stars per week over 208 weeks  
-3,798 stars, 708 forks, 74 watches  
-created 2018-12-10, last commit 2022-12-05, main language Python  
+18 stars per week over 220 weeks  
+4,027 stars, 752 forks, 74 watches  
+created 2018-12-10, last commit 2023-03-04, main language Python  
 <sub><sup>big-data, data-engineering, data-quality, data-science, feature-store, features, machine-learning, ml, mlops, python</sup></sub>
 
 
@@ -158,58 +168,58 @@ created 2018-12-10, last commit 2022-12-05, main language Python
 orchest: Build data pipelines, the easy way 🛠️  
 [https://orchest.io](https://orchest.io)  
 [https://github.com/orchest/orchest](https://github.com/orchest/orchest)  
-26 stars per week over 132 weeks  
-3,565 stars, 208 forks, 37 watches  
-created 2020-05-21, last commit 2022-12-06, main language TypeScript  
+25 stars per week over 145 weeks  
+3,751 stars, 224 forks, 39 watches  
+created 2020-05-21, last commit 2023-01-20, main language Python  
 <sub><sup>airflow, cloud, dag, data-pipelines, data-science, deployment, docker, etl, etl-pipeline, ide, jupyter, jupyterlab, kubernetes, machine-learning, notebooks, orchest, pipelines, python, self-hosted</sup></sub>
 
 
-### [polyaxon](https://github.com/polyaxon/polyaxon)  
-polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle  
-[https://polyaxon.com](https://polyaxon.com)  
-[https://github.com/polyaxon/polyaxon](https://github.com/polyaxon/polyaxon)  
-10 stars per week over 310 weeks  
-3,212 stars, 315 forks, 77 watches  
-created 2016-12-26, last commit 2022-11-11, main language Python  
-<sub><sup>artificial-intelligence, caffe, data-science, deep-learning, hyperparameter-optimization, jupyter, jupyterlab, k8s, keras, kubernetes, machine-learning, ml, mlops, mxnet, notebook, pipelines, pytorch, reinforcement-learning, tensorflow, workflow</sup></sub>
+### [aim](https://github.com/aimhubio/aim) by [aimhubio](https://github.com/aimhubio)  
+Aim 💫 — easy-to-use and performant open-source ML experiment tracker.  
+[https://aimstack.io](https://aimstack.io)  
+[https://github.com/aimhubio/aim](https://github.com/aimhubio/aim)  
+16 stars per week over 196 weeks  
+3,207 stars, 201 forks, 37 watches  
+created 2019-05-31, last commit 2023-03-02, main language TypeScript  
+<sub><sup>ai, data-science, data-visualization, experiment-tracking, machine-learning, metadata, metadata-tracking, ml, mlflow, mlops, python, pytorch, tensorboard, tensorflow, visualization</sup></sub>
 
 
-### [pipelines](https://github.com/kubeflow/pipelines) by [kubeflow](https://github.com/kubeflow)  
-pipelines: Machine Learning Pipelines for Kubeflow  
-[https://www.kubeflow.org/docs/components/pipelines/](https://www.kubeflow.org/docs/components/pipelines/)  
-[https://github.com/kubeflow/pipelines](https://github.com/kubeflow/pipelines)  
-12 stars per week over 238 weeks  
-3,054 stars, 1,348 forks, 103 watches  
-created 2018-05-12, last commit 2022-12-06, main language Python  
-<sub><sup>data-science, kubeflow, kubeflow-pipelines, kubernetes, machine-learning, mlops, pipeline</sup></sub>
+### [clearml](https://github.com/allegroai/clearml) by [allegroai](https://github.com/allegroai)  
+ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management  
+[https://clear.ml/docs](https://clear.ml/docs)  
+[https://github.com/allegroai/clearml](https://github.com/allegroai/clearml)  
+21 stars per week over 194 weeks  
+4,149 stars, 563 forks, 85 watches  
+created 2019-06-10, last commit 2023-03-02, main language Python  
+<sub><sup>ai, clearml, control, deep-learning, deeplearning, devops, experiment, experiment-manager, k8s, machine-learning, machinelearning, mlops, trains, trainsai, version, version-control</sup></sub>
 
 
 ### [evidently](https://github.com/evidentlyai/evidently) by [evidentlyai](https://github.com/evidentlyai)  
 evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b  
 [https://github.com/evidentlyai/evidently](https://github.com/evidentlyai/evidently)  
-27 stars per week over 106 weeks  
-2,913 stars, 317 forks, 32 watches  
-created 2020-11-25, last commit 2022-12-06, main language Python  
+26 stars per week over 118 weeks  
+3,193 stars, 346 forks, 36 watches  
+created 2020-11-25, last commit 2023-03-03, main language Python  
 <sub><sup>data-drift, data-science, hacktoberfest, html-report, jupyter-notebook, machine-learning, machine-learning-operations, mlops, model-monitoring, pandas-dataframe, production-machine-learning</sup></sub>
 
 
-### [aim](https://github.com/aimhubio/aim) by [aimhubio](https://github.com/aimhubio)  
-Aim 💫 — easy-to-use and performant open-source ML experiment tracker.  
-[https://aimstack.io](https://aimstack.io)  
-[https://github.com/aimhubio/aim](https://github.com/aimhubio/aim)  
-15 stars per week over 183 weeks  
-2,903 stars, 178 forks, 35 watches  
-created 2019-05-31, last commit 2022-12-06, main language TypeScript  
-<sub><sup>ai, data-science, data-visualization, experiment-tracking, machine-learning, metadata, metadata-tracking, ml, mlflow, mlops, python, pytorch, tensorboard, tensorflow, visualization</sup></sub>
+### [pipelines](https://github.com/kubeflow/pipelines) by [kubeflow](https://github.com/kubeflow)  
+pipelines: Machine Learning Pipelines for Kubeflow  
+[https://www.kubeflow.org/docs/components/pipelines/](https://www.kubeflow.org/docs/components/pipelines/)  
+[https://github.com/kubeflow/pipelines](https://github.com/kubeflow/pipelines)  
+12 stars per week over 251 weeks  
+3,120 stars, 1,394 forks, 102 watches  
+created 2018-05-12, last commit 2023-03-04, main language Python  
+<sub><sup>data-science, kubeflow, kubeflow-pipelines, kubernetes, machine-learning, mlops, pipeline</sup></sub>
 
 
 ### [flyte](https://github.com/flyteorg/flyte) by [flyteorg](https://github.com/flyteorg)  
 flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.  
 [https://flyte.org](https://flyte.org)  
 [https://github.com/flyteorg/flyte](https://github.com/flyteorg/flyte)  
-17 stars per week over 163 weeks  
-2,896 stars, 304 forks, 266 watches  
-created 2019-10-21, last commit 2022-12-05, main language Python  
+17 stars per week over 175 weeks  
+3,138 stars, 329 forks, 266 watches  
+created 2019-10-21, last commit 2023-03-04, main language Python  
 <sub><sup>battle-tested, data, data-analysis, data-science, dataops, declarative, flyte, golang, grpc, hacktoberfest, kubernetes, kubernetes-operator, machine-learning, mlops, orchestration-engine, production, production-grade, python, scale, workflow</sup></sub>
 
 
@@ -217,76 +227,69 @@ created 2019-10-21, last commit 2022-12-05, main language Python
 ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️  
 [https://ploomber.io](https://ploomber.io)  
 [https://github.com/ploomber/ploomber](https://github.com/ploomber/ploomber)  
-19 stars per week over 150 weeks  
-2,856 stars, 196 forks, 27 watches  
-created 2020-01-20, last commit 2022-11-22, main language Python  
-<sub><sup>data-engineering, data-science, hacktoberfest, jupyter, jupyter-notebooks, machine-learning, mlops, notebooks, papermill, pipelines, pycharm, vscode, workflow</sup></sub>
-
-
-### [mage-ai](https://github.com/mage-ai/mage-ai)  
-mage-ai: 🧙 A modern replacement for Airflow.  
-[https://www.mage.ai/](https://www.mage.ai/)  
-[https://github.com/mage-ai/mage-ai](https://github.com/mage-ai/mage-ai)  
-74 stars per week over 29 weeks  
-2,173 stars, 189 forks, 39 watches  
-created 2022-05-16, last commit 2022-12-06, main language Python  
-<sub><sup>artificial-intelligence, data, data-engineering, data-integration, data-pipelines, data-science, dbt, elt, etl, machine-learning, orchestration, pipeline, pipelines, python, reverse-etl, spark, sql, transformation</sup></sub>
+18 stars per week over 162 weeks  
+2,983 stars, 206 forks, 26 watches  
+created 2020-01-20, last commit 2023-01-31, main language Python  
+<sub><sup>data-engineering, data-science, jupyter, jupyter-notebooks, machine-learning, mlops, notebooks, papermill, pipelines, pycharm, vscode, workflow</sup></sub>
 
 
 ### [flower](https://github.com/adap/flower) by [adap](https://github.com/adap)  
-Flower - A Friendly Federated Learning Framework  
+Flower: A Friendly Federated Learning Framework  
 [https://flower.dev](https://flower.dev)  
 [https://github.com/adap/flower](https://github.com/adap/flower)  
-12 stars per week over 146 weeks  
-1,776 stars, 378 forks, 24 watches  
-created 2020-02-17, last commit 2022-12-06, main language Python  
-<sub><sup>federated-analytics, federated-learning, federated-learning-framework, fleet-intelligence, fleet-learning, flower, keras-federated-learning, pytorch-federated-learning, tensorflow-federated-learning</sup></sub>
+12 stars per week over 158 weeks  
+2,061 stars, 449 forks, 23 watches  
+created 2020-02-17, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, federated-analytics, federated-learning, federated-learning-framework, fleet-intelligence, fleet-learning, flower, keras-federated-learning, machine-learning, pytorch, pytorch-federated-learning, scikit-learn, tensorflow, tensorflow-federated-learning</sup></sub>
 
 
-### [optimus](https://github.com/hi-primus/optimus) by [hi-primus](https://github.com/hi-primus)  
-optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark  
-[https://hi-optimus.com](https://hi-optimus.com)  
-[https://github.com/hi-primus/optimus](https://github.com/hi-primus/optimus)  
-4.68 stars per week over 281 weeks  
-1,320 stars, 223 forks, 40 watches  
-created 2017-07-13, last commit 2022-10-17, main language Python  
-<sub><sup>big-data-cleaning, bigdata, cudf, dask, dask-cudf, data-analysis, data-cleaner, data-cleaning, data-cleansing, data-exploration, data-extraction, data-preparation, data-profiling, data-science, data-transformation, data-wrangling, machine-learning, pyspark, spark</sup></sub>
+### [polyaxon](https://github.com/polyaxon/polyaxon)  
+polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle  
+[https://polyaxon.com](https://polyaxon.com)  
+[https://github.com/polyaxon/polyaxon](https://github.com/polyaxon/polyaxon)  
+10 stars per week over 322 weeks  
+3,265 stars, 319 forks, 78 watches  
+created 2016-12-26, last commit 2023-03-03, main language None  
+<sub><sup>artificial-intelligence, caffe, data-science, deep-learning, hyperparameter-optimization, jupyter, jupyterlab, k8s, keras, kubernetes, machine-learning, ml, mlops, mxnet, notebook, pipelines, pytorch, reinforcement-learning, tensorflow, workflow</sup></sub>
 
 
-### [data-validation](https://github.com/tensorflow/data-validation) by [tensorflow](https://github.com/tensorflow)  
-data-validation: Library for exploring and validating machine learning data  
-[https://github.com/tensorflow/data-validation](https://github.com/tensorflow/data-validation)  
-2.95 stars per week over 231 weeks  
-682 stars, 142 forks, 47 watches  
-created 2018-07-02, last commit 2022-12-06, main language Python  
+### [skops](https://github.com/skops-dev/skops) by [skops-dev](https://github.com/skops-dev)  
+skops is a Python library helping you share your scikit-learn based models and put them in production  
+[https://skops.readthedocs.io/en/stable/](https://skops.readthedocs.io/en/stable/)  
+[https://github.com/skops-dev/skops](https://github.com/skops-dev/skops)  
+6.17 stars per week over 43 weeks  
+269 stars, 42 forks, 9 watches  
+created 2022-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>hacktoberfest, huggingface, machine-learning, mlops, scikit-learn</sup></sub>
+
+
+### [astro-sdk](https://github.com/astronomer/astro-sdk) by [astronomer](https://github.com/astronomer)  
+astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.  
+[https://astro-sdk-python.rtfd.io/](https://astro-sdk-python.rtfd.io/)  
+[https://github.com/astronomer/astro-sdk](https://github.com/astronomer/astro-sdk)  
+3.56 stars per week over 64 weeks  
+231 stars, 32 forks, 14 watches  
+created 2021-12-06, last commit 2023-03-02, main language Python  
+<sub><sup>airflow, apache-airflow, bigquery, dags, data-analysis, data-science, elt, etl, gcs, pandas, postgres, python, s3, snowflake, sql, sqlite, workflows</sup></sub>
 
 
 ### [kedro-viz](https://github.com/kedro-org/kedro-viz) by [kedro-org](https://github.com/kedro-org)  
 kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments.   
 [https://demo.kedro.org/](https://demo.kedro.org/)  
 [https://github.com/kedro-org/kedro-viz](https://github.com/kedro-org/kedro-viz)  
-2.71 stars per week over 186 weeks  
-506 stars, 83 forks, 9 watches  
-created 2019-05-09, last commit 2022-11-18, main language JavaScript  
+2.63 stars per week over 199 weeks  
+525 stars, 87 forks, 11 watches  
+created 2019-05-09, last commit 2023-03-02, main language JavaScript  
 <sub><sup>data-visualization, experiment-tracking, hacktoberfest, kedro, kedro-plugin, python, react</sup></sub>
 
 
-### [ml-metadata](https://github.com/google/ml-metadata) by [google](https://github.com/google)  
-ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.  
-[https://www.tensorflow.org/tfx/guide/mlmd](https://www.tensorflow.org/tfx/guide/mlmd)  
-[https://github.com/google/ml-metadata](https://github.com/google/ml-metadata)  
-2.46 stars per week over 203 weeks  
-500 stars, 113 forks, 27 watches  
-created 2019-01-15, last commit 2022-12-07, main language C++  
-
-
 ### [FEDOT](https://github.com/nccr-itmo/fedot) by [nccr-itmo](https://github.com/nccr-itmo)  
 FEDOT: Automated modeling and machine learning framework FEDOT  
 [https://fedot.readthedocs.io](https://fedot.readthedocs.io)  
 [https://github.com/nccr-itmo/fedot](https://github.com/nccr-itmo/fedot)  
-3.15 stars per week over 151 weeks  
-476 stars, 61 forks, 9 watches  
-created 2020-01-13, last commit 2022-12-01, main language Python  
+3.03 stars per week over 163 weeks  
+497 stars, 70 forks, 10 watches  
+created 2020-01-13, last commit 2023-02-27, main language Python  
 <sub><sup>automated-machine-learning, automation, automl, evolutionary-algorithms, fedot, genetic-programming, hyperparameter-optimization, machine-learning, multimodality, parameter-tuning, structural-learning</sup></sub>
 
 
@@ -294,78 +297,101 @@ created 2020-01-13, last commit 2022-12-01, main language Python
 astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes  
 [https://www.astronomer.io](https://www.astronomer.io)  
 [https://github.com/astronomer/astronomer](https://github.com/astronomer/astronomer)  
-1.68 stars per week over 255 weeks  
-430 stars, 77 forks, 43 watches  
-created 2018-01-15, last commit 2022-12-06, main language Python  
+1.64 stars per week over 267 weeks  
+440 stars, 81 forks, 44 watches  
+created 2018-01-15, last commit 2023-03-03, main language Python  
 <sub><sup>apache-airflow, astronomer-platform, docker, kubernetes</sup></sub>
 
 
-### [bodywork-core](https://github.com/bodywork-ml/bodywork-core) by [bodywork-ml](https://github.com/bodywork-ml)  
-bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.  
-[https://bodywork.readthedocs.io/en/latest/](https://bodywork.readthedocs.io/en/latest/)  
-[https://github.com/bodywork-ml/bodywork-core](https://github.com/bodywork-ml/bodywork-core)  
-3.8 stars per week over 107 weeks  
-407 stars, 19 forks, 9 watches  
-created 2020-11-17, last commit 2022-07-04, main language Python  
-<sub><sup>batch, cicd, continuous-deployment, data-science, devops, framework, kubernetes, machine-learning, mlops, orchestration, pipeline, python, serving</sup></sub>
+### [optimus](https://github.com/hi-primus/optimus) by [hi-primus](https://github.com/hi-primus)  
+optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark  
+[https://hi-optimus.com](https://hi-optimus.com)  
+[https://github.com/hi-primus/optimus](https://github.com/hi-primus/optimus)  
+4.56 stars per week over 294 weeks  
+1,342 stars, 225 forks, 42 watches  
+created 2017-07-13, last commit 2022-10-17, main language Python  
+<sub><sup>big-data-cleaning, bigdata, cudf, dask, dask-cudf, data-analysis, data-cleaner, data-cleaning, data-cleansing, data-exploration, data-extraction, data-preparation, data-profiling, data-science, data-transformation, data-wrangling, machine-learning, pyspark, spark</sup></sub>
 
 
-### [fairing](https://github.com/kubeflow/fairing) by [kubeflow](https://github.com/kubeflow)  
-fairing: Python SDK for building, training, and deploying ML models  
-[https://github.com/kubeflow/fairing](https://github.com/kubeflow/fairing)  
-1.46 stars per week over 222 weeks  
-324 stars, 146 forks, 40 watches  
-created 2018-09-03, last commit 2021-08-26, main language Jsonnet  
+### [data-validation](https://github.com/tensorflow/data-validation) by [tensorflow](https://github.com/tensorflow)  
+data-validation: Library for exploring and validating machine learning data  
+[https://github.com/tensorflow/data-validation](https://github.com/tensorflow/data-validation)  
+2.87 stars per week over 243 weeks  
+699 stars, 150 forks, 49 watches  
+created 2018-07-02, last commit 2023-03-02, main language Python  
 
 
 ### [unionml](https://github.com/unionai-oss/unionml) by [unionai-oss](https://github.com/unionai-oss)  
 UnionML: the easiest way to build and deploy machine learning microservices  
 [https://www.union.ai/unionml](https://www.union.ai/unionml)  
 [https://github.com/unionai-oss/unionml](https://github.com/unionai-oss/unionml)  
-4.4 stars per week over 55 weeks  
-242 stars, 38 forks, 4 watches  
-created 2021-11-17, last commit 2022-11-29, main language Python  
+3.94 stars per week over 67 weeks  
+266 stars, 37 forks, 4 watches  
+created 2021-11-17, last commit 2022-12-21, main language Python  
 <sub><sup>hacktoberfest, machine-learning, mlops</sup></sub>
 
 
 ### [airflow-chart](https://github.com/astronomer/airflow-chart) by [astronomer](https://github.com/astronomer)  
 airflow-chart: A Helm chart to install Apache Airflow on Kubernetes  
 [https://github.com/astronomer/airflow-chart](https://github.com/astronomer/airflow-chart)  
-1.57 stars per week over 150 weeks  
-236 stars, 86 forks, 44 watches  
-created 2020-01-22, last commit 2022-12-06, main language Python  
+1.53 stars per week over 162 weeks  
+248 stars, 89 forks, 44 watches  
+created 2020-01-22, last commit 2023-03-02, main language Python  
 <sub><sup>airflow, apache-airflow, helm-chart, kubernetes</sup></sub>
 
 
-### [skops](https://github.com/skops-dev/skops) by [skops-dev](https://github.com/skops-dev)  
-skops is a Python library helping you share your scikit-learn based models and put them in production  
-[https://skops.readthedocs.io/en/stable/](https://skops.readthedocs.io/en/stable/)  
-[https://github.com/skops-dev/skops](https://github.com/skops-dev/skops)  
-6.87 stars per week over 31 weeks  
-213 stars, 31 forks, 9 watches  
-created 2022-05-04, last commit 2022-12-05, main language Python  
-<sub><sup>hacktoberfest, huggingface, machine-learning, mlops, scikit-learn</sup></sub>
+### [ml-metadata](https://github.com/google/ml-metadata) by [google](https://github.com/google)  
+ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.  
+[https://www.tensorflow.org/tfx/guide/mlmd](https://www.tensorflow.org/tfx/guide/mlmd)  
+[https://github.com/google/ml-metadata](https://github.com/google/ml-metadata)  
+2.41 stars per week over 215 weeks  
+520 stars, 118 forks, 29 watches  
+created 2019-01-15, last commit 2023-03-02, main language C++  
 
 
-### [astro-sdk](https://github.com/astronomer/astro-sdk) by [astronomer](https://github.com/astronomer)  
-astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.  
-[https://docs.astronomer.io/learn/astro-python-sdk-etl](https://docs.astronomer.io/learn/astro-python-sdk-etl)  
-[https://github.com/astronomer/astro-sdk](https://github.com/astronomer/astro-sdk)  
-3.73 stars per week over 52 weeks  
-195 stars, 26 forks, 13 watches  
-created 2021-12-06, last commit 2022-12-07, main language Python  
-<sub><sup>airflow, apache-airflow, bigquery, dags, data-analysis, data-science, elt, etl, gcs, pandas, postgres, python, s3, snowflake, sql, sqlite, workflows</sup></sub>
+### [bodywork-core](https://github.com/bodywork-ml/bodywork-core) by [bodywork-ml](https://github.com/bodywork-ml)  
+bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.  
+[https://bodywork.readthedocs.io/en/latest/](https://bodywork.readthedocs.io/en/latest/)  
+[https://github.com/bodywork-ml/bodywork-core](https://github.com/bodywork-ml/bodywork-core)  
+3.45 stars per week over 119 weeks  
+413 stars, 19 forks, 9 watches  
+created 2020-11-17, last commit 2022-07-04, main language Python  
+<sub><sup>batch, cicd, continuous-deployment, data-science, devops, framework, kubernetes, machine-learning, mlops, orchestration, pipeline, python, serving</sup></sub>
+
+
+### [fairing](https://github.com/kubeflow/fairing) by [kubeflow](https://github.com/kubeflow)  
+fairing: Python SDK for building, training, and deploying ML models  
+[https://github.com/kubeflow/fairing](https://github.com/kubeflow/fairing)  
+1.39 stars per week over 234 weeks  
+327 stars, 147 forks, 39 watches  
+created 2018-09-03, last commit 2021-08-26, main language Jsonnet  
+
+
+### [airflow-provider-ray](https://github.com/anyscale/airflow-provider-ray) by [anyscale](https://github.com/anyscale)  
+airflow-provider-ray: Ray provider for Apache Airflow  
+[https://github.com/anyscale/airflow-provider-ray](https://github.com/anyscale/airflow-provider-ray)  
+0.31 stars per week over 104 weeks  
+32 stars, 10 forks, 13 watches  
+created 2021-03-05, last commit 2021-10-03, main language Python  
 
 
 ### [AIQC](https://github.com/aiqc/aiqc) by [aiqc](https://github.com/aiqc)  
 AIQC: End-to-end deep learning on your desktop or server.  
 [https://github.com/aiqc/aiqc](https://github.com/aiqc/aiqc)  
-0.84 stars per week over 105 weeks  
-88 stars, 19 forks, 4 watches  
-created 2020-12-02, last commit 2022-11-23, main language Jupyter Notebook  
+0.77 stars per week over 117 weeks  
+91 stars, 20 forks, 4 watches  
+created 2020-12-02, last commit 2022-12-16, main language Jupyter Notebook  
+
+
+### [prefect-anyscale](https://github.com/anyscale/prefect-anyscale) by [anyscale](https://github.com/anyscale)  
+prefect-anyscale: Prefect integration with Anyscale  
+[https://github.com/anyscale/prefect-anyscale](https://github.com/anyscale/prefect-anyscale)  
+0.36 stars per week over 16 weeks  
+6 stars, 1 forks, 3 watches  
+created 2022-11-07, last commit 2023-03-02, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/ml.md b/categories/ml.md
index f20b9bc..13db66e 100644
--- a/categories/ml.md
+++ b/categories/ml.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 95 curated ml Python libraries and frameworks ordered by stars.  
+A selection of 111 curated ml Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,899 +9,1046 @@ Checkout the interactive version that you can filter and sort:
 scikit-learn: machine learning in Python  
 [https://scikit-learn.org](https://scikit-learn.org)  
 [https://github.com/scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)  
-81 stars per week over 642 weeks  
-52,254 stars, 23,758 forks, 2,170 watches  
-created 2010-08-17, last commit 2022-12-07, main language Python  
+81 stars per week over 654 weeks  
+53,184 stars, 24,000 forks, 2,155 watches  
+created 2010-08-17, last commit 2023-03-03, main language Python  
 <sub><sup>data-analysis, data-science, machine-learning, python, statistics</sup></sub>
 
 
-### [GFPGAN](https://github.com/tencentarc/gfpgan) by [tencentarc](https://github.com/tencentarc)  
-GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.  
-[https://github.com/tencentarc/gfpgan](https://github.com/tencentarc/gfpgan)  
-278 stars per week over 89 weeks  
-24,990 stars, 3,771 forks, 368 watches  
-created 2021-03-19, last commit 2022-09-16, main language Python  
-<sub><sup>deep-learning, face-restoration, gan, gfpgan, image-restoration, pytorch, super-resolution</sup></sub>
-
-
-### [handson-ml2](https://github.com/ageron/handson-ml2) by [ageron](https://github.com/ageron)  
-handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.  
-[https://github.com/ageron/handson-ml2](https://github.com/ageron/handson-ml2)  
-115 stars per week over 204 weeks  
-23,637 stars, 11,425 forks, 621 watches  
-created 2019-01-08, last commit 2022-11-08, main language Jupyter Notebook  
-
-
-### [xgboost](https://github.com/dmlc/xgboost) by [dmlc](https://github.com/dmlc)  
-xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow  
-[https://xgboost.ai/](https://xgboost.ai/)  
-[https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)  
-51 stars per week over 460 weeks  
-23,534 stars, 8,529 forks, 931 watches  
-created 2014-02-06, last commit 2022-12-07, main language C++  
-<sub><sup>distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost</sup></sub>
-
-
 ### [mmdetection](https://github.com/open-mmlab/mmdetection) by [open-mmlab](https://github.com/open-mmlab)  
 mmdetection: OpenMMLab Detection Toolbox and Benchmark  
 [https://mmdetection.readthedocs.io](https://mmdetection.readthedocs.io)  
 [https://github.com/open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection)  
-99 stars per week over 224 weeks  
-22,303 stars, 8,115 forks, 362 watches  
-created 2018-08-22, last commit 2022-11-23, main language Python  
-<sub><sup>cascade-rcnn, fast-rcnn, faster-rcnn, instance-segmentation, mask-rcnn, object-detection, pytorch, retinanet, rpn, ssd</sup></sub>
+97 stars per week over 236 weeks  
+23,179 stars, 8,406 forks, 363 watches  
+created 2018-08-22, last commit 2023-02-28, main language Python  
+<sub><sup>cascade-rcnn, convnext, detr, fast-rcnn, faster-rcnn, instance-segmentation, mask-rcnn, object-detection, panoptic-segmentation, pytorch, retinanet, rtmdet, semisupervised-learning, ssd, swin-transformer, transformer, vision-transformer, yolo</sup></sub>
 
 
 ### [jax](https://github.com/google/jax) by [google](https://github.com/google)  
 jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more  
 [http://jax.readthedocs.io/](http://jax.readthedocs.io/)  
 [https://github.com/google/jax](https://github.com/google/jax)  
-98 stars per week over 214 weeks  
-21,094 stars, 1,969 forks, 288 watches  
-created 2018-10-25, last commit 2022-12-07, main language Python  
+97 stars per week over 227 weeks  
+22,126 stars, 2,073 forks, 309 watches  
+created 2018-10-25, last commit 2023-03-03, main language Python  
 <sub><sup>jax</sup></sub>
 
 
-### [mediapipe](https://github.com/google/mediapipe) by [google](https://github.com/google)  
-mediapipe: Cross-platform, customizable ML solutions for live and streaming media.  
-[https://mediapipe.dev](https://mediapipe.dev)  
-[https://github.com/google/mediapipe](https://github.com/google/mediapipe)  
-107 stars per week over 181 weeks  
-19,623 stars, 4,132 forks, 495 watches  
-created 2019-06-13, last commit 2022-12-07, main language C++  
-<sub><sup>android, audio-processing, c-plus-plus, calculator, computer-vision, deep-learning, framework, graph-based, graph-framework, inference, machine-learning, mediapipe, mobile-development, perception, pipeline-framework, stream-processing, video-processing</sup></sub>
-
-
-### [PlotNeuralNet](https://github.com/harisiqbal88/plotneuralnet) by [harisiqbal88](https://github.com/harisiqbal88)  
-PlotNeuralNet: Latex code for making neural networks diagrams  
-[https://github.com/harisiqbal88/plotneuralnet](https://github.com/harisiqbal88/plotneuralnet)  
-80 stars per week over 228 weeks  
-18,387 stars, 2,528 forks, 219 watches  
-created 2018-07-24, last commit 2020-11-06, main language TeX  
-<sub><sup>deep-neural-networks, latex</sup></sub>
-
-
 ### [jina](https://github.com/jina-ai/jina) by [jina-ai](https://github.com/jina-ai)  
 jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native  
 [https://docs.jina.ai](https://docs.jina.ai)  
 [https://github.com/jina-ai/jina](https://github.com/jina-ai/jina)  
-114 stars per week over 146 weeks  
-16,835 stars, 1,992 forks, 183 watches  
-created 2020-02-13, last commit 2022-12-07, main language Python  
+110 stars per week over 159 weeks  
+17,606 stars, 2,045 forks, 191 watches  
+created 2020-02-13, last commit 2023-03-03, main language Python  
 <sub><sup>aiops, airflow, cloud-native, creative-ai, crossmodal, deep-learning, fastapi, framework, generative-ai, grpc, kubernetes, machine-learning, microservices, mlops, multimodal, neural-search, pipeline, semantic-search, vector-search-engine, workflow</sup></sub>
 
 
-### [onnx](https://github.com/onnx/onnx)  
-onnx: Open standard for machine learning interoperability  
-[https://onnx.ai/](https://onnx.ai/)  
-[https://github.com/onnx/onnx](https://github.com/onnx/onnx)  
-50 stars per week over 273 weeks  
-13,753 stars, 3,199 forks, 430 watches  
-created 2017-09-07, last commit 2022-11-29, main language Python  
-<sub><sup>deep-learning, deep-neural-networks, dnn, keras, machine-learning, ml, mxnet, neural-network, onnx, pytorch, scikit-learn, tensorflow</sup></sub>
-
-
-### [imgaug](https://github.com/aleju/imgaug) by [aleju](https://github.com/aleju)  
-imgaug: Image augmentation for machine learning experiments.  
-[http://imgaug.readthedocs.io](http://imgaug.readthedocs.io)  
-[https://github.com/aleju/imgaug](https://github.com/aleju/imgaug)  
-34 stars per week over 386 weeks  
-13,162 stars, 2,334 forks, 228 watches  
-created 2015-07-10, last commit 2020-06-01, main language Python  
-<sub><sup>affine-transformation, augment-images, augmentation, bounding-boxes, contrast, crop, deep-learning, heatmap, image-augmentation, images, keypoints, machine-learning, polygon, segmentation-maps</sup></sub>
-
-
-### [tensor2tensor](https://github.com/tensorflow/tensor2tensor) by [tensorflow](https://github.com/tensorflow)  
-tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  
-[https://github.com/tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)  
-44 stars per week over 285 weeks  
-12,814 stars, 3,145 forks, 457 watches  
-created 2017-06-15, last commit 2022-10-24, main language Python  
-<sub><sup>deep-learning, machine-learning, machine-translation, reinforcement-learning, tpu</sup></sub>
+### [mediapipe](https://github.com/google/mediapipe) by [google](https://github.com/google)  
+mediapipe: Cross-platform, customizable ML solutions for live and streaming media.  
+[https://mediapipe.dev](https://mediapipe.dev)  
+[https://github.com/google/mediapipe](https://github.com/google/mediapipe)  
+106 stars per week over 194 weeks  
+20,716 stars, 4,331 forks, 503 watches  
+created 2019-06-13, last commit 2023-03-03, main language C++  
+<sub><sup>android, audio-processing, c-plus-plus, calculator, computer-vision, deep-learning, framework, graph-based, graph-framework, inference, machine-learning, mediapipe, mobile-development, perception, pipeline-framework, stream-processing, video-processing</sup></sub>
 
 
-### [nni](https://github.com/microsoft/nni) by [microsoft](https://github.com/microsoft)  
-nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.  
-[https://nni.readthedocs.io](https://nni.readthedocs.io)  
-[https://github.com/microsoft/nni](https://github.com/microsoft/nni)  
-52 stars per week over 235 weeks  
-12,291 stars, 1,725 forks, 281 watches  
-created 2018-06-01, last commit 2022-12-07, main language Python  
-<sub><sup>automated-machine-learning, automl, bayesian-optimization, data-science, deep-learning, deep-neural-network, distributed, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, mlops, model-compression, nas, neural-architecture-search, neural-network, python, pytorch, tensorflow</sup></sub>
+### [openai-cookbook](https://github.com/openai/openai-cookbook) by [openai](https://github.com/openai)  
+openai-cookbook: Examples and guides for using the OpenAI API  
+[https://github.com/openai/openai-cookbook](https://github.com/openai/openai-cookbook)  
+302 stars per week over 51 weeks  
+15,510 stars, 2,042 forks, 336 watches  
+created 2022-03-11, last commit 2023-03-03, main language Jupyter Notebook  
 
 
-### [deepmind-research](https://github.com/deepmind/deepmind-research) by [deepmind](https://github.com/deepmind)  
-deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications  
-[https://github.com/deepmind/deepmind-research](https://github.com/deepmind/deepmind-research)  
-54 stars per week over 203 weeks  
-11,153 stars, 2,291 forks, 322 watches  
-created 2019-01-15, last commit 2022-10-24, main language Jupyter Notebook  
+### [xgboost](https://github.com/dmlc/xgboost) by [dmlc](https://github.com/dmlc)  
+xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow  
+[https://xgboost.ai/](https://xgboost.ai/)  
+[https://github.com/dmlc/xgboost](https://github.com/dmlc/xgboost)  
+50 stars per week over 473 weeks  
+23,825 stars, 8,551 forks, 925 watches  
+created 2014-02-06, last commit 2023-03-03, main language C++  
+<sub><sup>distributed-systems, gbdt, gbm, gbrt, machine-learning, xgboost</sup></sub>
 
 
 ### [scipy](https://github.com/scipy/scipy)  
 SciPy library main repository  
 [https://scipy.org](https://scipy.org)  
 [https://github.com/scipy/scipy](https://github.com/scipy/scipy)  
-17 stars per week over 613 weeks  
-10,560 stars, 4,498 forks, 339 watches  
-created 2011-03-09, last commit 2022-12-07, main language Python  
+17 stars per week over 625 weeks  
+10,895 stars, 4,616 forks, 343 watches  
+created 2011-03-09, last commit 2023-03-04, main language Python  
 <sub><sup>algorithms, closember, python, scientific-computing, scipy</sup></sub>
 
 
-### [annoy](https://github.com/spotify/annoy) by [spotify](https://github.com/spotify)  
-annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk  
-[https://github.com/spotify/annoy](https://github.com/spotify/annoy)  
-20 stars per week over 505 weeks  
-10,540 stars, 1,062 forks, 325 watches  
-created 2013-04-01, last commit 2022-10-27, main language C++  
-<sub><sup>approximate-nearest-neighbor-search, c-plus-plus, golang, locality-sensitive-hashing, lua, nearest-neighbor-search, python</sup></sub>
+### [optuna](https://github.com/optuna/optuna)  
+optuna: A hyperparameter optimization framework  
+[https://optuna.org](https://optuna.org)  
+[https://github.com/optuna/optuna](https://github.com/optuna/optuna)  
+29 stars per week over 262 weeks  
+7,685 stars, 811 forks, 123 watches  
+created 2018-02-21, last commit 2023-03-03, main language Python  
+<sub><sup>distributed, hacktoberfest, hyperparameter-optimization, machine-learning, parallel, python</sup></sub>
 
 
-### [dopamine](https://github.com/google/dopamine) by [google](https://github.com/google)  
-Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.   
-[https://github.com/google/dopamine](https://github.com/google/dopamine)  
-[https://github.com/google/dopamine](https://github.com/google/dopamine)  
-43 stars per week over 227 weeks  
-9,944 stars, 1,336 forks, 441 watches  
-created 2018-07-26, last commit 2022-11-28, main language Jupyter Notebook  
-<sub><sup>ai, google, ml, rl, tensorflow</sup></sub>
+### [GFPGAN](https://github.com/tencentarc/gfpgan) by [tencentarc](https://github.com/tencentarc)  
+GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.  
+[https://github.com/tencentarc/gfpgan](https://github.com/tencentarc/gfpgan)  
+263 stars per week over 102 weeks  
+26,952 stars, 4,156 forks, 395 watches  
+created 2021-03-19, last commit 2022-09-16, main language Python  
+<sub><sup>deep-learning, face-restoration, gan, gfpgan, image-restoration, pytorch, super-resolution</sup></sub>
 
 
-### [tpot](https://github.com/epistasislab/tpot) by [epistasislab](https://github.com/epistasislab)  
-tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.  
-[http://epistasislab.github.io/tpot/](http://epistasislab.github.io/tpot/)  
-[https://github.com/epistasislab/tpot](https://github.com/epistasislab/tpot)  
-23 stars per week over 370 weeks  
-8,829 stars, 1,503 forks, 292 watches  
-created 2015-11-03, last commit 2022-07-29, main language Python  
-<sub><sup>adsp, ag066833, aiml, alzheimer, alzheimers, automated-machine-learning, automation, automl, data-science, feature-engineering, gradient-boosting, hyperparameter-optimization, machine-learning, model-selection, nia, parameter-tuning, python, random-forest, scikit-learn, u01ag066833</sup></sub>
+### [autogluon](https://github.com/awslabs/autogluon) by [awslabs](https://github.com/awslabs)  
+AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data  
+[https://auto.gluon.ai/](https://auto.gluon.ai/)  
+[https://github.com/awslabs/autogluon](https://github.com/awslabs/autogluon)  
+28 stars per week over 187 weeks  
+5,400 stars, 703 forks, 90 watches  
+created 2019-07-29, last commit 2023-03-03, main language Python  
+<sub><sup>autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning, ensemble-learning, forecasting, gluon, hyperparameter-optimization, image-classification, machine-learning, natural-language-processing, object-detection, pytorch, scikit-learn, structured-data, tabular-data, time-series, transfer-learning</sup></sub>
 
 
-### [statsmodels](https://github.com/statsmodels/statsmodels)  
-Statsmodels: statistical modeling and econometrics in Python  
-[http://www.statsmodels.org/devel/](http://www.statsmodels.org/devel/)  
-[https://github.com/statsmodels/statsmodels](https://github.com/statsmodels/statsmodels)  
-13 stars per week over 599 weeks  
-7,967 stars, 2,619 forks, 271 watches  
-created 2011-06-12, last commit 2022-12-06, main language Python  
-<sub><sup>count-model, data-analysis, data-science, econometrics, forecasting, generalized-linear-models, hypothesis-testing, prediction, python, regression-models, robust-estimation, statistics, timeseries-analysis</sup></sub>
+### [musiclm-pytorch](https://github.com/lucidrains/musiclm-pytorch) by [lucidrains](https://github.com/lucidrains)  
+musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch  
+[https://github.com/lucidrains/musiclm-pytorch](https://github.com/lucidrains/musiclm-pytorch)  
+306 stars per week over 5 weeks  
+1,620 stars, 101 forks, 74 watches  
+created 2023-01-27, last commit 2023-03-02, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, music-synthesis, transformers</sup></sub>
 
 
 ### [YOLOX](https://github.com/megvii-basedetection/yolox) by [megvii-basedetection](https://github.com/megvii-basedetection)  
 YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/  
 [https://github.com/megvii-basedetection/yolox](https://github.com/megvii-basedetection/yolox)  
-105 stars per week over 72 weeks  
-7,636 stars, 1,828 forks, 72 watches  
-created 2021-07-17, last commit 2022-11-30, main language Python  
+93 stars per week over 85 weeks  
+7,920 stars, 1,915 forks, 72 watches  
+created 2021-07-17, last commit 2023-03-03, main language Python  
 <sub><sup>deep-learning, megengine, ncnn, object-detection, onnx, openvino, pytorch, tensorrt, yolo, yolov3, yolox</sup></sub>
 
 
-### [optuna](https://github.com/optuna/optuna)  
-optuna: A hyperparameter optimization framework  
-[https://optuna.org](https://optuna.org)  
-[https://github.com/optuna/optuna](https://github.com/optuna/optuna)  
-29 stars per week over 250 weeks  
-7,264 stars, 784 forks, 122 watches  
-created 2018-02-21, last commit 2022-12-07, main language Python  
-<sub><sup>distributed, hacktoberfest, hyperparameter-optimization, machine-learning, parallel, python</sup></sub>
-
-
-### [pymc](https://github.com/pymc-devs/pymc3) by [pymc-devs](https://github.com/pymc-devs)  
-pymc: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor  
-[https://docs.pymc.io/](https://docs.pymc.io/)  
-[https://github.com/pymc-devs/pymc3](https://github.com/pymc-devs/pymc3)  
-10 stars per week over 709 weeks  
-7,175 stars, 1,705 forks, 224 watches  
-created 2009-05-05, last commit 2022-12-06, main language Python  
-<sub><sup>aesara, bayesian-inference, hacktoberfest, mcmc, probabilistic-programming, pytensor, python, statistical-analysis, variational-inference</sup></sub>
+### [nni](https://github.com/microsoft/nni) by [microsoft](https://github.com/microsoft)  
+nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.  
+[https://nni.readthedocs.io](https://nni.readthedocs.io)  
+[https://github.com/microsoft/nni](https://github.com/microsoft/nni)  
+50 stars per week over 248 weeks  
+12,566 stars, 1,755 forks, 282 watches  
+created 2018-06-01, last commit 2023-03-03, main language Python  
+<sub><sup>automated-machine-learning, automl, bayesian-optimization, data-science, deep-learning, deep-neural-network, distributed, feature-engineering, hyperparameter-optimization, hyperparameter-tuning, machine-learning, machine-learning-algorithms, mlops, model-compression, nas, neural-architecture-search, neural-network, python, pytorch, tensorflow</sup></sub>
 
 
 ### [catboost](https://github.com/catboost/catboost)  
 catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.  
 [https://catboost.ai](https://catboost.ai)  
 [https://github.com/catboost/catboost](https://github.com/catboost/catboost)  
-24 stars per week over 281 weeks  
-6,830 stars, 1,067 forks, 194 watches  
-created 2017-07-18, last commit 2022-12-07, main language C  
+23 stars per week over 293 weeks  
+6,977 stars, 1,092 forks, 192 watches  
+created 2017-07-18, last commit 2023-03-04, main language C  
 <sub><sup>big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial</sup></sub>
 
 
-### [auto-sklearn](https://github.com/automl/auto-sklearn) by [automl](https://github.com/automl)  
-auto-sklearn: Automated Machine Learning with scikit-learn  
-[https://automl.github.io/auto-sklearn](https://automl.github.io/auto-sklearn)  
-[https://github.com/automl/auto-sklearn](https://github.com/automl/auto-sklearn)  
-17 stars per week over 387 weeks  
-6,650 stars, 1,208 forks, 213 watches  
-created 2015-07-02, last commit 2022-12-07, main language Python  
-<sub><sup>automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, meta-learning, metalearning, scikit-learn, smac</sup></sub>
-
-
 ### [pycaret](https://github.com/pycaret/pycaret)  
 pycaret: An open-source, low-code machine learning library in Python  
 [https://www.pycaret.org](https://www.pycaret.org)  
 [https://github.com/pycaret/pycaret](https://github.com/pycaret/pycaret)  
-41 stars per week over 158 weeks  
-6,625 stars, 1,514 forks, 124 watches  
-created 2019-11-23, last commit 2022-12-06, main language Jupyter Notebook  
+40 stars per week over 171 weeks  
+6,966 stars, 1,584 forks, 128 watches  
+created 2019-11-23, last commit 2023-03-02, main language Jupyter Notebook  
 <sub><sup>anomaly-detection, citizen-data-scientists, classification, clustering, data-science, gpu, machine-learning, ml, nlp, pycaret, python, regression, time-series</sup></sub>
 
 
-### [hyperopt](https://github.com/hyperopt/hyperopt)  
-hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python  
-[http://hyperopt.github.io/hyperopt](http://hyperopt.github.io/hyperopt)  
-[https://github.com/hyperopt/hyperopt](https://github.com/hyperopt/hyperopt)  
-11 stars per week over 587 weeks  
-6,496 stars, 1,001 forks, 126 watches  
-created 2011-09-06, last commit 2021-11-29, main language Python  
-
-
-### [featuretools](https://github.com/featurelabs/featuretools) by [featurelabs](https://github.com/featurelabs)  
-featuretools: An open source python library for automated feature engineering  
-[https://www.featuretools.com](https://www.featuretools.com)  
-[https://github.com/featurelabs/featuretools](https://github.com/featurelabs/featuretools)  
-23 stars per week over 273 weeks  
-6,406 stars, 834 forks, 158 watches  
-created 2017-09-08, last commit 2022-12-06, main language Python  
-<sub><sup>automated-feature-engineering, automated-machine-learning, automl, data-science, feature-engineering, machine-learning, python, scikit-learn</sup></sub>
+### [onnx](https://github.com/onnx/onnx)  
+onnx: Open standard for machine learning interoperability  
+[https://onnx.ai/](https://onnx.ai/)  
+[https://github.com/onnx/onnx](https://github.com/onnx/onnx)  
+49 stars per week over 286 weeks  
+14,187 stars, 3,350 forks, 431 watches  
+created 2017-09-07, last commit 2023-03-03, main language Python  
+<sub><sup>deep-learning, deep-neural-networks, dnn, keras, machine-learning, ml, mxnet, neural-network, onnx, pytorch, scikit-learn, tensorflow</sup></sub>
 
 
-### [autograd](https://github.com/hips/autograd) by [hips](https://github.com/hips)  
-autograd: Efficiently computes derivatives of numpy code.  
-[https://github.com/hips/autograd](https://github.com/hips/autograd)  
-14 stars per week over 419 weeks  
-6,097 stars, 842 forks, 215 watches  
-created 2014-11-24, last commit 2022-09-29, main language Python  
+### [mmsegmentation](https://github.com/open-mmlab/mmsegmentation) by [open-mmlab](https://github.com/open-mmlab)  
+mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.  
+[https://mmsegmentation.readthedocs.io/en/latest/](https://mmsegmentation.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation)  
+37 stars per week over 142 weeks  
+5,308 stars, 1,955 forks, 52 watches  
+created 2020-06-14, last commit 2023-02-28, main language Python  
+<sub><sup>deeplabv3, image-segmentation, medical-image-segmentation, pspnet, pytorch, realtime-segmentation, retinal-vessel-segmentation, semantic-segmentation, swin-transformer, transformer, vessel-segmentation</sup></sub>
 
 
-### [umap](https://github.com/lmcinnes/umap) by [lmcinnes](https://github.com/lmcinnes)  
-umap: Uniform Manifold Approximation and Projection  
-[https://github.com/lmcinnes/umap](https://github.com/lmcinnes/umap)  
-20 stars per week over 283 weeks  
-5,939 stars, 692 forks, 125 watches  
-created 2017-07-02, last commit 2022-11-11, main language Python  
-<sub><sup>dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization</sup></sub>
+### [accelerate](https://github.com/huggingface/accelerate) by [huggingface](https://github.com/huggingface)  
+accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision  
+[https://huggingface.co/docs/accelerate](https://huggingface.co/docs/accelerate)  
+[https://github.com/huggingface/accelerate](https://github.com/huggingface/accelerate)  
+31 stars per week over 122 weeks  
+3,793 stars, 346 forks, 70 watches  
+created 2020-10-30, last commit 2023-03-03, main language Python  
 
 
-### [cleverhans](https://github.com/cleverhans-lab/cleverhans) by [cleverhans-lab](https://github.com/cleverhans-lab)  
-cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both  
-[https://github.com/cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)  
-17 stars per week over 324 weeks  
-5,661 stars, 1,377 forks, 190 watches  
-created 2016-09-15, last commit 2021-09-23, main language Jupyter Notebook  
-<sub><sup>benchmarking, machine-learning, security</sup></sub>
+### [marqo](https://github.com/marqo-ai/marqo) by [marqo-ai](https://github.com/marqo-ai)  
+marqo: Tensor search for humans.  
+[https://www.marqo.ai/](https://www.marqo.ai/)  
+[https://github.com/marqo-ai/marqo](https://github.com/marqo-ai/marqo)  
+78 stars per week over 30 weeks  
+2,409 stars, 93 forks, 26 watches  
+created 2022-08-01, last commit 2023-03-03, main language Python  
+<sub><sup>chatgpt, clip, deep-learning, gpt, hacktoberfest, hnsw, information-retrieval, knn, large-language-models, machine-learning, machinelearning, multi-modal, natural-language-processing, search-engine, semantic-search, tensor-search, transformers, vector-search, vision-language, visual-search</sup></sub>
 
 
-### [Surprise](https://github.com/nicolashug/surprise) by [nicolashug](https://github.com/nicolashug)  
-Surprise: A Python scikit for building and analyzing recommender systems  
-[http://surpriselib.com](http://surpriselib.com)  
-[https://github.com/nicolashug/surprise](https://github.com/nicolashug/surprise)  
-17 stars per week over 319 weeks  
-5,623 stars, 960 forks, 149 watches  
-created 2016-10-23, last commit 2022-10-31, main language Python  
-<sub><sup>factorization, machine-learning, matrix, recommendation, recommender, svd, systems</sup></sub>
+### [mmcv](https://github.com/open-mmlab/mmcv) by [open-mmlab](https://github.com/open-mmlab)  
+mmcv: OpenMMLab Computer Vision Foundation  
+[https://mmcv.readthedocs.io/en/latest/](https://mmcv.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmcv](https://github.com/open-mmlab/mmcv)  
+19 stars per week over 236 weeks  
+4,727 stars, 1,408 forks, 84 watches  
+created 2018-08-22, last commit 2023-03-03, main language Python  
 
 
-### [dowhy](https://github.com/py-why/dowhy) by [py-why](https://github.com/py-why)  
-DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.   
-[https://www.pywhy.org/dowhy](https://www.pywhy.org/dowhy)  
-[https://github.com/py-why/dowhy](https://github.com/py-why/dowhy)  
-23 stars per week over 235 weeks  
-5,445 stars, 766 forks, 135 watches  
-created 2018-05-31, last commit 2022-12-06, main language Python  
-<sub><sup>bayesian-networks, causal-inference, causal-machine-learning, causal-models, causality, data-science, do-calculus, graphical-models, machine-learning, python3, treatment-effects</sup></sub>
+### [tensor2tensor](https://github.com/tensorflow/tensor2tensor) by [tensorflow](https://github.com/tensorflow)  
+tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  
+[https://github.com/tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)  
+43 stars per week over 298 weeks  
+13,064 stars, 3,183 forks, 460 watches  
+created 2017-06-15, last commit 2023-02-17, main language Python  
+<sub><sup>deep-learning, machine-learning, machine-translation, reinforcement-learning, tpu</sup></sub>
 
 
-### [pyprobml](https://github.com/probml/pyprobml) by [probml](https://github.com/probml)  
-pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy  
-[https://github.com/probml/pyprobml](https://github.com/probml/pyprobml)  
-15 stars per week over 329 weeks  
-5,256 stars, 1,243 forks, 173 watches  
-created 2016-08-17, last commit 2022-11-26, main language Jupyter Notebook  
-<sub><sup>blackjax, colab, flax, jax, jupyter-notebooks, machine-learning, numpyro, pml, probabilistic-programming, pymc3, pyro, pytorch, tensorflow</sup></sub>
+### [river](https://github.com/online-ml/river) by [online-ml](https://github.com/online-ml)  
+river: 🌊 Online machine learning in Python  
+[https://riverml.xyz](https://riverml.xyz)  
+[https://github.com/online-ml/river](https://github.com/online-ml/river)  
+19 stars per week over 214 weeks  
+4,107 stars, 460 forks, 83 watches  
+created 2019-01-24, last commit 2023-03-03, main language Python  
+<sub><sup>concept-drift, data-science, incremental-learning, machine-learning, online-learning, online-machine-learning, online-statistics, python, real-time-processing, stream-processing, streaming, streaming-data</sup></sub>
 
 
-### [automl](https://github.com/google/automl) by [google](https://github.com/google)  
-automl: Google Brain AutoML  
-[https://github.com/google/automl](https://github.com/google/automl)  
-36 stars per week over 142 weeks  
-5,209 stars, 1,382 forks, 150 watches  
-created 2020-03-12, last commit 2022-10-09, main language Jupyter Notebook  
-<sub><sup>automl, efficientdet, efficientnet, efficientnetv2, object-detection</sup></sub>
+### [pymc](https://github.com/pymc-devs/pymc3) by [pymc-devs](https://github.com/pymc-devs)  
+pymc: Bayesian Modeling in Python  
+[https://docs.pymc.io/](https://docs.pymc.io/)  
+[https://github.com/pymc-devs/pymc3](https://github.com/pymc-devs/pymc3)  
+10 stars per week over 721 weeks  
+7,348 stars, 1,748 forks, 226 watches  
+created 2009-05-05, last commit 2023-03-02, main language Python  
+<sub><sup>bayesian-inference, mcmc, probabilistic-programming, pytensor, python, statistical-analysis, variational-inference</sup></sub>
 
 
-### [autogluon](https://github.com/awslabs/autogluon) by [awslabs](https://github.com/awslabs)  
-AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data  
-[https://auto.gluon.ai/](https://auto.gluon.ai/)  
-[https://github.com/awslabs/autogluon](https://github.com/awslabs/autogluon)  
-29 stars per week over 175 weeks  
-5,124 stars, 672 forks, 96 watches  
-created 2019-07-29, last commit 2022-12-07, main language Python  
-<sub><sup>autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning, ensemble-learning, gluon, hyperparameter-optimization, image-classification, machine-learning, natural-language-processing, object-detection, pytorch, scikit-learn, structured-data, tabular-data, time-series, transfer-learning</sup></sub>
+### [MONAI](https://github.com/project-monai/monai) by [project-monai](https://github.com/project-monai)  
+MONAI: AI Toolkit for Healthcare Imaging  
+[https://monai.io/](https://monai.io/)  
+[https://github.com/project-monai/monai](https://github.com/project-monai/monai)  
+21 stars per week over 177 weeks  
+3,811 stars, 740 forks, 88 watches  
+created 2019-10-11, last commit 2023-03-02, main language Python  
+<sub><sup>deep-learning, healthcare-imaging, medical-image-computing, medical-image-processing, monai, python3, pytorch</sup></sub>
 
 
 ### [wandb](https://github.com/wandb/client)  
 wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.  
 [https://wandb.ai](https://wandb.ai)  
 [https://github.com/wandb/client](https://github.com/wandb/client)  
-16 stars per week over 297 weeks  
-5,051 stars, 385 forks, 39 watches  
-created 2017-03-24, last commit 2022-12-07, main language Python  
+17 stars per week over 310 weeks  
+5,559 stars, 442 forks, 43 watches  
+created 2017-03-24, last commit 2023-03-04, main language Python  
 <sub><sup>collaboration, data-science, data-versioning, deep-learning, experiment-track, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, keras, machine-learning, ml-platform, mlops, model-versioning, pytorch, reinforcement-learning, reproducibility, tensorflow</sup></sub>
 
 
-### [mmsegmentation](https://github.com/open-mmlab/mmsegmentation) by [open-mmlab](https://github.com/open-mmlab)  
-mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.  
-[https://mmsegmentation.readthedocs.io/en/latest/](https://mmsegmentation.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation)  
-37 stars per week over 129 weeks  
-4,880 stars, 1,803 forks, 50 watches  
-created 2020-06-14, last commit 2022-12-01, main language Python  
-<sub><sup>deeplabv3, image-segmentation, medical-image-segmentation, pspnet, pytorch, realtime-segmentation, retinal-vessel-segmentation, semantic-segmentation, swin-transformer, transformer, vessel-segmentation</sup></sub>
+### [dowhy](https://github.com/py-why/dowhy) by [py-why](https://github.com/py-why)  
+DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.   
+[https://www.pywhy.org/dowhy](https://www.pywhy.org/dowhy)  
+[https://github.com/py-why/dowhy](https://github.com/py-why/dowhy)  
+22 stars per week over 248 weeks  
+5,706 stars, 817 forks, 136 watches  
+created 2018-05-31, last commit 2023-02-14, main language Python  
+<sub><sup>bayesian-networks, causal-inference, causal-machine-learning, causal-models, causality, data-science, do-calculus, graphical-models, machine-learning, python3, treatment-effects</sup></sub>
 
 
-### [Augmentor](https://github.com/mdbloice/augmentor) by [mdbloice](https://github.com/mdbloice)  
-Augmentor: Image augmentation library in Python for machine learning.  
-[https://augmentor.readthedocs.io/en/stable](https://augmentor.readthedocs.io/en/stable)  
-[https://github.com/mdbloice/augmentor](https://github.com/mdbloice/augmentor)  
-13 stars per week over 353 weeks  
-4,833 stars, 850 forks, 123 watches  
-created 2016-03-01, last commit 2022-09-23, main language Python  
-<sub><sup>augmentation, deep-learning, machine-learning, neural-networks</sup></sub>
+### [handson-ml2](https://github.com/ageron/handson-ml2) by [ageron](https://github.com/ageron)  
+handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.  
+[https://github.com/ageron/handson-ml2](https://github.com/ageron/handson-ml2)  
+111 stars per week over 216 weeks  
+24,242 stars, 11,679 forks, 632 watches  
+created 2019-01-08, last commit 2023-02-04, main language Jupyter Notebook  
 
 
-### [mmcv](https://github.com/open-mmlab/mmcv) by [open-mmlab](https://github.com/open-mmlab)  
-mmcv: OpenMMLab Computer Vision Foundation  
-[https://mmcv.readthedocs.io/en/latest/](https://mmcv.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmcv](https://github.com/open-mmlab/mmcv)  
-20 stars per week over 224 weeks  
-4,560 stars, 1,308 forks, 83 watches  
-created 2018-08-22, last commit 2022-12-07, main language Python  
+### [mmediting](https://github.com/open-mmlab/mmediting) by [open-mmlab](https://github.com/open-mmlab)  
+mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox  
+[https://mmediting.readthedocs.io/en/latest/](https://mmediting.readthedocs.io/en/latest/)  
+[https://github.com/open-mmlab/mmediting](https://github.com/open-mmlab/mmediting)  
+22 stars per week over 184 weeks  
+4,101 stars, 732 forks, 87 watches  
+created 2019-08-23, last commit 2023-02-24, main language Python  
+<sub><sup>computer-vision, deep-learning, generative-adversarial-network, image-editing, image-generation, image-processing, image-synthesis, inpainting, matting, pytorch, super-resolution, video-frame-interpolation, video-interpolation, video-super-resolution</sup></sub>
 
 
-### [deep-daze](https://github.com/lucidrains/deep-daze) by [lucidrains](https://github.com/lucidrains)  
-deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun  
-[https://github.com/lucidrains/deep-daze](https://github.com/lucidrains/deep-daze)  
-44 stars per week over 98 weeks  
-4,365 stars, 326 forks, 76 watches  
-created 2021-01-17, last commit 2022-03-13, main language Python  
-<sub><sup>artificial-intelligence, deep-learning, implicit-neural-representation, multi-modality, siren, text-to-image, transformers</sup></sub>
+### [sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk) by [aws](https://github.com/aws)  
+sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker  
+[https://sagemaker.readthedocs.io/](https://sagemaker.readthedocs.io/)  
+[https://github.com/aws/sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk)  
+6.45 stars per week over 276 weeks  
+1,785 stars, 937 forks, 135 watches  
+created 2017-11-14, last commit 2023-03-03, main language Python  
+<sub><sup>aws, huggingface, machine-learning, mxnet, python, pytorch, sagemaker, tensorflow</sup></sub>
 
 
 ### [cleanlab](https://github.com/cleanlab/cleanlab)  
 cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.  
 [https://cleanlab.ai](https://cleanlab.ai)  
 [https://github.com/cleanlab/cleanlab](https://github.com/cleanlab/cleanlab)  
-17 stars per week over 238 weeks  
-4,269 stars, 394 forks, 63 watches  
-created 2018-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>audio-classification, classification, confident-learning, data-centric-ai, data-centric-machine-learning, data-cleaning, data-quality, data-science, exploratory-data-analysis, image-classification, label-errors, learning-with-confident-examples, learning-with-noisy-labels, machine-learning, noisy-data, noisy-labels, robust-machine-learning, text-classification, weak-supervision</sup></sub>
-
-
-### [mlxtend](https://github.com/rasbt/mlxtend) by [rasbt](https://github.com/rasbt)  
-mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.  
-[http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)  
-[https://github.com/rasbt/mlxtend](https://github.com/rasbt/mlxtend)  
-9.61 stars per week over 433 weeks  
-4,171 stars, 795 forks, 121 watches  
-created 2014-08-14, last commit 2022-12-03, main language Python  
-<sub><sup>association-rules, data-mining, data-science, machine-learning, python, supervised-learning, unsupervised-learning</sup></sub>
+21 stars per week over 251 weeks  
+5,424 stars, 455 forks, 70 watches  
+created 2018-05-11, last commit 2023-03-01, main language Python  
+<sub><sup>active-learning, annotations, classification, crowdsourcing, data-centric-ai, data-cleaning, data-labeling, data-quality, data-science, data-validation, entity-recognition, exploratory-data-analysis, image-tagging, label-errors, machine-learning, noisy-labels, out-of-distribution-detection, outlier-detection, robust-machine-learning, weak-supervision</sup></sub>
 
 
-### [river](https://github.com/online-ml/river) by [online-ml](https://github.com/online-ml)  
-river: 🌊 Online machine learning in Python  
-[https://riverml.xyz](https://riverml.xyz)  
-[https://github.com/online-ml/river](https://github.com/online-ml/river)  
-19 stars per week over 201 weeks  
-3,915 stars, 432 forks, 82 watches  
-created 2019-01-24, last commit 2022-12-06, main language Python  
-<sub><sup>concept-drift, data-science, incremental-learning, machine-learning, online-learning, online-machine-learning, online-statistics, python, real-time-processing, stream-processing, streaming, streaming-data</sup></sub>
+### [evaluate](https://github.com/huggingface/evaluate) by [huggingface](https://github.com/huggingface)  
+🤗 Evaluate: A library for easily evaluating machine learning models and datasets.  
+[https://huggingface.co/docs/evaluate](https://huggingface.co/docs/evaluate)  
+[https://github.com/huggingface/evaluate](https://github.com/huggingface/evaluate)  
+24 stars per week over 48 weeks  
+1,169 stars, 117 forks, 43 watches  
+created 2022-03-30, last commit 2023-03-01, main language Python  
+<sub><sup>evaluation, machine-learning</sup></sub>
 
 
-### [yellowbrick](https://github.com/districtdatalabs/yellowbrick) by [districtdatalabs](https://github.com/districtdatalabs)  
-yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.  
-[http://www.scikit-yb.org/](http://www.scikit-yb.org/)  
-[https://github.com/districtdatalabs/yellowbrick](https://github.com/districtdatalabs/yellowbrick)  
-11 stars per week over 342 weeks  
-3,861 stars, 538 forks, 102 watches  
-created 2016-05-18, last commit 2022-12-05, main language Python  
-<sub><sup>anaconda, estimator, machine-learning, matplotlib, model-selection, python, scikit-learn, visual-analysis, visualization, visualizer</sup></sub>
+### [featuretools](https://github.com/featurelabs/featuretools) by [featurelabs](https://github.com/featurelabs)  
+featuretools: An open source python library for automated feature engineering  
+[https://www.featuretools.com](https://www.featuretools.com)  
+[https://github.com/featurelabs/featuretools](https://github.com/featurelabs/featuretools)  
+22 stars per week over 286 weeks  
+6,531 stars, 840 forks, 158 watches  
+created 2017-09-08, last commit 2023-03-03, main language Python  
+<sub><sup>automated-feature-engineering, automated-machine-learning, automl, data-science, feature-engineering, machine-learning, python, scikit-learn</sup></sub>
 
 
-### [mmediting](https://github.com/open-mmlab/mmediting) by [open-mmlab](https://github.com/open-mmlab)  
-mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox  
-[https://mmediting.readthedocs.io/en/latest/](https://mmediting.readthedocs.io/en/latest/)  
-[https://github.com/open-mmlab/mmediting](https://github.com/open-mmlab/mmediting)  
-22 stars per week over 171 weeks  
-3,839 stars, 685 forks, 83 watches  
-created 2019-08-23, last commit 2022-11-30, main language Python  
-<sub><sup>computer-vision, deep-learning, generative-adversarial-network, image-editing, image-generation, image-processing, image-synthesis, inpainting, matting, pytorch, super-resolution, video-frame-interpolation, video-interpolation, video-super-resolution</sup></sub>
+### [tianshou](https://github.com/thu-ml/tianshou) by [thu-ml](https://github.com/thu-ml)  
+tianshou: An elegant PyTorch deep reinforcement learning library.  
+[https://tianshou.readthedocs.io](https://tianshou.readthedocs.io)  
+[https://github.com/thu-ml/tianshou](https://github.com/thu-ml/tianshou)  
+22 stars per week over 254 weeks  
+5,847 stars, 917 forks, 82 watches  
+created 2018-04-16, last commit 2023-03-04, main language Python  
+<sub><sup>a2c, atari, bcq, benchmark, cql, ddpg, double-dqn, dqn, drl, imitation-learning, library, mujoco, npg, policy-gradient, ppo, pytorch, rl, sac, td3, trpo</sup></sub>
 
 
-### [MONAI](https://github.com/project-monai/monai) by [project-monai](https://github.com/project-monai)  
-MONAI: AI Toolkit for Healthcare Imaging  
-[https://monai.io/](https://monai.io/)  
-[https://github.com/project-monai/monai](https://github.com/project-monai/monai)  
-22 stars per week over 164 weeks  
-3,633 stars, 683 forks, 89 watches  
-created 2019-10-11, last commit 2022-12-06, main language Python  
-<sub><sup>deep-learning, healthcare-imaging, medical-image-computing, medical-image-processing, monai, python3, pytorch</sup></sub>
+### [FLAML](https://github.com/microsoft/flaml) by [microsoft](https://github.com/microsoft)  
+FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.  
+[https://microsoft.github.io/FLAML/](https://microsoft.github.io/FLAML/)  
+[https://github.com/microsoft/flaml](https://github.com/microsoft/flaml)  
+17 stars per week over 132 weeks  
+2,291 stars, 349 forks, 41 watches  
+created 2020-08-20, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>automated-machine-learning, automl, classification, data-science, deep-learning, finetuning, hyperparam, hyperparameter-optimization, jupyter-notebook, machine-learning, natural-language-generation, natural-language-processing, python, random-forest, regression, scikit-learn, tabular-data, timeseries-forecasting, tuning</sup></sub>
 
 
-### [causalml](https://github.com/uber/causalml) by [uber](https://github.com/uber)  
-causalml: Uplift modeling and causal inference with machine learning algorithms  
-[https://github.com/uber/causalml](https://github.com/uber/causalml)  
-20 stars per week over 178 weeks  
-3,618 stars, 575 forks, 76 watches  
-created 2019-07-09, last commit 2022-11-10, main language Python  
-<sub><sup>causal-inference, incubation, machine-learning, uplift-modeling</sup></sub>
+### [statsmodels](https://github.com/statsmodels/statsmodels)  
+Statsmodels: statistical modeling and econometrics in Python  
+[http://www.statsmodels.org/devel/](http://www.statsmodels.org/devel/)  
+[https://github.com/statsmodels/statsmodels](https://github.com/statsmodels/statsmodels)  
+13 stars per week over 612 weeks  
+8,235 stars, 2,670 forks, 275 watches  
+created 2011-06-12, last commit 2023-02-26, main language Python  
+<sub><sup>count-model, data-analysis, data-science, econometrics, forecasting, generalized-linear-models, hypothesis-testing, prediction, python, regression-models, robust-estimation, statistics, timeseries-analysis</sup></sub>
 
 
-### [accelerate](https://github.com/huggingface/accelerate) by [huggingface](https://github.com/huggingface)  
-accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision  
-[https://huggingface.co/docs/accelerate](https://huggingface.co/docs/accelerate)  
-[https://github.com/huggingface/accelerate](https://github.com/huggingface/accelerate)  
-30 stars per week over 109 weeks  
-3,312 stars, 277 forks, 63 watches  
-created 2020-10-30, last commit 2022-12-06, main language Python  
+### [umap](https://github.com/lmcinnes/umap) by [lmcinnes](https://github.com/lmcinnes)  
+umap: Uniform Manifold Approximation and Projection  
+[https://github.com/lmcinnes/umap](https://github.com/lmcinnes/umap)  
+20 stars per week over 296 weeks  
+6,081 stars, 705 forks, 126 watches  
+created 2017-07-02, last commit 2023-02-23, main language Python  
+<sub><sup>dimensionality-reduction, machine-learning, topological-data-analysis, umap, visualization</sup></sub>
 
 
-### [ReAgent](https://github.com/facebookresearch/reagent) by [facebookresearch](https://github.com/facebookresearch)  
-ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)  
-[https://reagent.ai](https://reagent.ai)  
-[https://github.com/facebookresearch/reagent](https://github.com/facebookresearch/reagent)  
-11 stars per week over 279 weeks  
-3,308 stars, 497 forks, 146 watches  
-created 2017-07-27, last commit 2022-11-15, main language Python  
+### [netron](https://github.com/lutzroeder/netron) by [lutzroeder](https://github.com/lutzroeder)  
+netron: Visualizer for neural network, deep learning, and machine learning models  
+[https://netron.app](https://netron.app)  
+[https://github.com/lutzroeder/netron](https://github.com/lutzroeder/netron)  
+33 stars per week over 636 weeks  
+21,483 stars, 2,405 forks, 275 watches  
+created 2010-12-26, last commit 2023-03-04, main language JavaScript  
+<sub><sup>ai, caffe, caffe2, coreml, darknet, deep-learning, deeplearning, keras, machine-learning, machinelearning, ml, mxnet, neural-network, onnx, paddle, pytorch, tensorflow, tensorflow-lite, torch, visualizer</sup></sub>
 
 
-### [opencv-python](https://github.com/skvark/opencv-python) by [skvark](https://github.com/skvark)  
-opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.  
-[https://pypi.org/project/opencv-python/](https://pypi.org/project/opencv-python/)  
-[https://github.com/skvark/opencv-python](https://github.com/skvark/opencv-python)  
-9.03 stars per week over 347 weeks  
-3,140 stars, 616 forks, 82 watches  
-created 2016-04-08, last commit 2022-12-05, main language Shell  
-<sub><sup>manylinux, opencv, opencv-contrib-python, opencv-python, precompiled, pypi, python, python-3, wheel</sup></sub>
+### [balance](https://github.com/facebookresearch/balance) by [facebookresearch](https://github.com/facebookresearch)  
+balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.  
+[https://import-balance.org](https://import-balance.org)  
+[https://github.com/facebookresearch/balance](https://github.com/facebookresearch/balance)  
+37 stars per week over 15 weeks  
+590 stars, 28 forks, 5 watches  
+created 2022-11-15, last commit 2023-02-19, main language Python  
+
+
+### [neural_prophet](https://github.com/ourownstory/neural_prophet) by [ourownstory](https://github.com/ourownstory)  
+neural_prophet: NeuralProphet: A simple forecasting package  
+[https://neuralprophet.com](https://neuralprophet.com)  
+[https://github.com/ourownstory/neural_prophet](https://github.com/ourownstory/neural_prophet)  
+19 stars per week over 147 weeks  
+2,813 stars, 390 forks, 50 watches  
+created 2020-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>artificial-intelligence, autoregression, deep-learning, fbprophet, forecast, forecasting, forecasting-algorithm, forecasting-model, machine-learning, neural, neural-network, neuralprophet, prediction, prophet, python, pytorch, seasonality, time-series, timeseries, trend</sup></sub>
+
+
+### [optimum](https://github.com/huggingface/optimum) by [huggingface](https://github.com/huggingface)  
+optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools  
+[https://huggingface.co/docs/optimum/](https://huggingface.co/docs/optimum/)  
+[https://github.com/huggingface/optimum](https://github.com/huggingface/optimum)  
+11 stars per week over 84 weeks  
+947 stars, 142 forks, 41 watches  
+created 2021-07-20, last commit 2023-03-04, main language Python  
+<sub><sup>graphcore, habana, inference, intel, onnx, onnxruntime, optimization, pytorch, quantization, training, transformers</sup></sub>
+
+
+### [pyprobml](https://github.com/probml/pyprobml) by [probml](https://github.com/probml)  
+pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy  
+[https://github.com/probml/pyprobml](https://github.com/probml/pyprobml)  
+16 stars per week over 341 weeks  
+5,468 stars, 1,309 forks, 178 watches  
+created 2016-08-17, last commit 2023-01-20, main language Jupyter Notebook  
+<sub><sup>blackjax, colab, flax, jax, jupyter-notebooks, machine-learning, numpyro, pml, probabilistic-programming, pymc3, pyro, pytorch, tensorflow</sup></sub>
+
+
+### [annoy](https://github.com/spotify/annoy) by [spotify](https://github.com/spotify)  
+annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk  
+[https://github.com/spotify/annoy](https://github.com/spotify/annoy)  
+20 stars per week over 517 weeks  
+10,849 stars, 1,078 forks, 324 watches  
+created 2013-04-01, last commit 2023-02-25, main language C++  
+<sub><sup>approximate-nearest-neighbor-search, c-plus-plus, golang, locality-sensitive-hashing, lua, nearest-neighbor-search, python</sup></sub>
 
 
 ### [coremltools](https://github.com/apple/coremltools) by [apple](https://github.com/apple)  
 coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.  
 [https://coremltools.readme.io](https://coremltools.readme.io)  
 [https://github.com/apple/coremltools](https://github.com/apple/coremltools)  
-10 stars per week over 283 weeks  
-2,981 stars, 476 forks, 109 watches  
-created 2017-06-30, last commit 2022-12-06, main language Python  
+10 stars per week over 296 weeks  
+3,140 stars, 488 forks, 114 watches  
+created 2017-06-30, last commit 2023-02-21, main language Python  
 <sub><sup>coreml, coremltools, machine-learning, model-conversion, model-converter, pytorch, tensorflow</sup></sub>
 
 
-### [glow](https://github.com/pytorch/glow) by [pytorch](https://github.com/pytorch)  
-glow: Compiler for Neural Network hardware accelerators  
-[https://github.com/pytorch/glow](https://github.com/pytorch/glow)  
-10 stars per week over 270 weeks  
-2,880 stars, 654 forks, 154 watches  
-created 2017-09-29, last commit 2022-12-05, main language C++  
+### [lightly](https://github.com/lightly-ai/lightly) by [lightly-ai](https://github.com/lightly-ai)  
+lightly: A python library for self-supervised learning on images.  
+[https://docs.lightly.ai/self-supervised-learning/](https://docs.lightly.ai/self-supervised-learning/)  
+[https://github.com/lightly-ai/lightly](https://github.com/lightly-ai/lightly)  
+17 stars per week over 124 weeks  
+2,155 stars, 181 forks, 23 watches  
+created 2020-10-13, last commit 2023-03-03, main language Python  
+<sub><sup>active-learning, computer-vision, contrastive-learning, deep-learning, embeddings, machine-learning, pytorch, self-supervised-learning</sup></sub>
 
 
-### [vissl](https://github.com/facebookresearch/vissl) by [facebookresearch](https://github.com/facebookresearch)  
-VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.  
-[https://vissl.ai](https://vissl.ai)  
-[https://github.com/facebookresearch/vissl](https://github.com/facebookresearch/vissl)  
-20 stars per week over 138 weeks  
-2,866 stars, 299 forks, 53 watches  
-created 2020-04-09, last commit 2022-10-12, main language Jupyter Notebook  
+### [opencv-python](https://github.com/skvark/opencv-python) by [skvark](https://github.com/skvark)  
+opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.  
+[https://pypi.org/project/opencv-python/](https://pypi.org/project/opencv-python/)  
+[https://github.com/skvark/opencv-python](https://github.com/skvark/opencv-python)  
+9.16 stars per week over 360 weeks  
+3,301 stars, 640 forks, 81 watches  
+created 2016-04-08, last commit 2023-02-22, main language Shell  
+<sub><sup>manylinux, opencv, opencv-contrib-python, opencv-python, precompiled, pypi, python, python-3, wheel</sup></sub>
 
 
-### [neural_prophet](https://github.com/ourownstory/neural_prophet) by [ourownstory](https://github.com/ourownstory)  
-neural_prophet: NeuralProphet: A simple forecasting package  
-[https://neuralprophet.com](https://neuralprophet.com)  
-[https://github.com/ourownstory/neural_prophet](https://github.com/ourownstory/neural_prophet)  
-19 stars per week over 135 weeks  
-2,674 stars, 360 forks, 48 watches  
-created 2020-05-04, last commit 2022-12-07, main language Python  
-<sub><sup>artificial-intelligence, autoregression, deep-learning, fbprophet, forecast, forecasting, forecasting-algorithm, forecasting-model, machine-learning, neural, neural-network, neuralprophet, prediction, prophet, python, pytorch, seasonality, time-series, timeseries, trend</sup></sub>
+### [mlxtend](https://github.com/rasbt/mlxtend) by [rasbt](https://github.com/rasbt)  
+mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.  
+[http://rasbt.github.io/mlxtend/](http://rasbt.github.io/mlxtend/)  
+[https://github.com/rasbt/mlxtend](https://github.com/rasbt/mlxtend)  
+9.6 stars per week over 446 weeks  
+4,286 stars, 806 forks, 117 watches  
+created 2014-08-14, last commit 2023-02-26, main language Python  
+<sub><sup>association-rules, data-mining, data-science, machine-learning, python, supervised-learning, unsupervised-learning</sup></sub>
 
 
-### [eli5](https://github.com/teamhg-memex/eli5) by [teamhg-memex](https://github.com/teamhg-memex)  
-eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions  
-[http://eli5.readthedocs.io](http://eli5.readthedocs.io)  
-[https://github.com/teamhg-memex/eli5](https://github.com/teamhg-memex/eli5)  
-8.04 stars per week over 324 weeks  
-2,611 stars, 326 forks, 68 watches  
-created 2016-09-15, last commit 2020-01-22, main language Jupyter Notebook  
-<sub><sup>crfsuite, data-science, explanation, inspection, lightgbm, machine-learning, nlp, python, scikit-learn, xgboost</sup></sub>
+### [deepmind-research](https://github.com/deepmind/deepmind-research) by [deepmind](https://github.com/deepmind)  
+deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications  
+[https://github.com/deepmind/deepmind-research](https://github.com/deepmind/deepmind-research)  
+53 stars per week over 215 weeks  
+11,494 stars, 2,359 forks, 329 watches  
+created 2019-01-15, last commit 2023-01-31, main language Jupyter Notebook  
 
 
-### [mljar-supervised](https://github.com/mljar/mljar-supervised) by [mljar](https://github.com/mljar)  
-mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation  
-[https://mljar.com](https://mljar.com)  
-[https://github.com/mljar/mljar-supervised](https://github.com/mljar/mljar-supervised)  
-11 stars per week over 213 weeks  
-2,357 stars, 308 forks, 41 watches  
-created 2018-11-05, last commit 2022-11-03, main language Python  
-<sub><sup>automated-machine-learning, automatic-machine-learning, automl, catboost, data-science, decision-tree, ensemble, feature-engineering, hyper-parameters, hyperparameter-optimization, lightgbm, machine-learning, mljar, models-tuning, neural-network, random-forest, scikit-learn, shap, tuning-algorithm, xgboost</sup></sub>
+### [auto-sklearn](https://github.com/automl/auto-sklearn) by [automl](https://github.com/automl)  
+auto-sklearn: Automated Machine Learning with scikit-learn  
+[https://automl.github.io/auto-sklearn](https://automl.github.io/auto-sklearn)  
+[https://github.com/automl/auto-sklearn](https://github.com/automl/auto-sklearn)  
+16 stars per week over 400 weeks  
+6,772 stars, 1,213 forks, 213 watches  
+created 2015-07-02, last commit 2022-12-07, main language Python  
+<sub><sup>automated-machine-learning, automl, bayesian-optimization, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, meta-learning, metalearning, scikit-learn, smac</sup></sub>
 
 
-### [hnswlib](https://github.com/nmslib/hnswlib) by [nmslib](https://github.com/nmslib)  
-hnswlib: Header-only C++/python library for fast approximate nearest neighbors  
-[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
-[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
-7.98 stars per week over 282 weeks  
-2,256 stars, 418 forks, 62 watches  
-created 2017-07-06, last commit 2022-04-16, main language C++  
+### [RecBole](https://github.com/rucaibox/recbole) by [rucaibox](https://github.com/rucaibox)  
+RecBole: A unified, comprehensive and efficient recommendation library  
+[https://recbole.io/](https://recbole.io/)  
+[https://github.com/rucaibox/recbole](https://github.com/rucaibox/recbole)  
+17 stars per week over 142 weeks  
+2,491 stars, 459 forks, 39 watches  
+created 2020-06-11, last commit 2023-03-02, main language Python  
+<sub><sup>collaborative-filtering, ctr-prediction, deep-learning, graph-neural-networks, knowledge-graph, pytorch, recommendation-system, recommendations, recommender, recommender-systems, sequential-recommendation</sup></sub>
 
 
-### [FLAML](https://github.com/microsoft/flaml) by [microsoft](https://github.com/microsoft)  
-FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.  
-[https://microsoft.github.io/FLAML/](https://microsoft.github.io/FLAML/)  
-[https://github.com/microsoft/flaml](https://github.com/microsoft/flaml)  
-18 stars per week over 119 weeks  
-2,158 stars, 328 forks, 37 watches  
-created 2020-08-20, last commit 2022-12-07, main language Jupyter Notebook  
-<sub><sup>automated-machine-learning, automl, classification, data-science, deep-learning, finetuning, hyperparam, hyperparameter-optimization, jupyter-notebook, machine-learning, natural-language-generation, natural-language-processing, python, random-forest, regression, scikit-learn, tabular-data, timeseries-forecasting, tuning</sup></sub>
+### [tpot](https://github.com/epistasislab/tpot) by [epistasislab](https://github.com/epistasislab)  
+tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.  
+[http://epistasislab.github.io/tpot/](http://epistasislab.github.io/tpot/)  
+[https://github.com/epistasislab/tpot](https://github.com/epistasislab/tpot)  
+23 stars per week over 382 weeks  
+8,968 stars, 1,517 forks, 293 watches  
+created 2015-11-03, last commit 2022-07-29, main language Python  
+<sub><sup>adsp, ag066833, aiml, alzheimer, alzheimers, automated-machine-learning, automation, automl, data-science, feature-engineering, gradient-boosting, hyperparameter-optimization, machine-learning, model-selection, nia, parameter-tuning, python, random-forest, scikit-learn, u01ag066833</sup></sub>
+
+
+### [PlotNeuralNet](https://github.com/harisiqbal88/plotneuralnet) by [harisiqbal88](https://github.com/harisiqbal88)  
+PlotNeuralNet: Latex code for making neural networks diagrams  
+[https://github.com/harisiqbal88/plotneuralnet](https://github.com/harisiqbal88/plotneuralnet)  
+78 stars per week over 240 weeks  
+18,929 stars, 2,579 forks, 223 watches  
+created 2018-07-24, last commit 2020-11-06, main language TeX  
+<sub><sup>deep-neural-networks, latex</sup></sub>
+
+
+### [causalml](https://github.com/uber/causalml) by [uber](https://github.com/uber)  
+causalml: Uplift modeling and causal inference with machine learning algorithms  
+[https://github.com/uber/causalml](https://github.com/uber/causalml)  
+20 stars per week over 190 weeks  
+3,819 stars, 613 forks, 78 watches  
+created 2019-07-09, last commit 2023-02-03, main language Python  
+<sub><sup>causal-inference, incubation, machine-learning, uplift-modeling</sup></sub>
+
+
+### [finetuner](https://github.com/jina-ai/finetuner) by [jina-ai](https://github.com/jina-ai)  
+finetuner: :dart: Task-oriented finetuning for better embeddings on neural search  
+[https://finetuner.jina.ai](https://finetuner.jina.ai)  
+[https://github.com/jina-ai/finetuner](https://github.com/jina-ai/finetuner)  
+11 stars per week over 81 weeks  
+954 stars, 48 forks, 24 watches  
+created 2021-08-11, last commit 2023-03-02, main language Python  
+<sub><sup>few-shot-learning, fine-tuning, finetuning, jina, metric-learning, negative-sampling, neural-search, pretrained-models, siamese-network, similarity-learning, transfer-learning, triplet-loss</sup></sub>
+
+
+### [vizier](https://github.com/google/vizier) by [google](https://github.com/google)  
+vizier: Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.  
+[https://oss-vizier.readthedocs.io](https://oss-vizier.readthedocs.io)  
+[https://github.com/google/vizier](https://github.com/google/vizier)  
+17 stars per week over 54 weeks  
+967 stars, 45 forks, 20 watches  
+created 2022-02-16, last commit 2023-03-01, main language Python  
+<sub><sup>algorithm, bayesian-optimization, blackbox-optimization, deep-learning, distributed-computing, distributed-systems, evolutionary-algorithms, google, grpc, hyperparameter-optimization, hyperparameter-tuning, machine-learning, open-source, optimization, tuning, tuning-parameters, vizier</sup></sub>
+
+
+### [addons](https://github.com/tensorflow/addons) by [tensorflow](https://github.com/tensorflow)  
+addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons  
+[https://github.com/tensorflow/addons](https://github.com/tensorflow/addons)  
+7.24 stars per week over 222 weeks  
+1,613 stars, 599 forks, 58 watches  
+created 2018-11-26, last commit 2023-03-01, main language Python  
+<sub><sup>deep-learning, machine-learning, neural-network, python, tensorflow, tensorflow-addons</sup></sub>
+
+
+### [ReAgent](https://github.com/facebookresearch/reagent) by [facebookresearch](https://github.com/facebookresearch)  
+ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)  
+[https://reagent.ai](https://reagent.ai)  
+[https://github.com/facebookresearch/reagent](https://github.com/facebookresearch/reagent)  
+11 stars per week over 292 weeks  
+3,352 stars, 508 forks, 150 watches  
+created 2017-07-27, last commit 2023-02-28, main language Python  
+
+
+### [automl](https://github.com/google/automl) by [google](https://github.com/google)  
+automl: Google Brain AutoML  
+[https://github.com/google/automl](https://github.com/google/automl)  
+35 stars per week over 155 weeks  
+5,594 stars, 1,418 forks, 157 watches  
+created 2020-03-12, last commit 2023-02-15, main language Jupyter Notebook  
+<sub><sup>automl, efficientdet, efficientnet, efficientnetv2, object-detection</sup></sub>
+
+
+### [vissl](https://github.com/facebookresearch/vissl) by [facebookresearch](https://github.com/facebookresearch)  
+VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.  
+[https://vissl.ai](https://vissl.ai)  
+[https://github.com/facebookresearch/vissl](https://github.com/facebookresearch/vissl)  
+19 stars per week over 151 weeks  
+2,968 stars, 312 forks, 52 watches  
+created 2020-04-09, last commit 2022-12-28, main language Jupyter Notebook  
+
+
+### [imgaug](https://github.com/aleju/imgaug) by [aleju](https://github.com/aleju)  
+imgaug: Image augmentation for machine learning experiments.  
+[http://imgaug.readthedocs.io](http://imgaug.readthedocs.io)  
+[https://github.com/aleju/imgaug](https://github.com/aleju/imgaug)  
+33 stars per week over 399 weeks  
+13,340 stars, 2,362 forks, 231 watches  
+created 2015-07-10, last commit 2020-06-01, main language Python  
+<sub><sup>affine-transformation, augment-images, augmentation, bounding-boxes, contrast, crop, deep-learning, heatmap, image-augmentation, images, keypoints, machine-learning, polygon, segmentation-maps</sup></sub>
+
+
+### [vertex-ai-samples](https://github.com/googlecloudplatform/vertex-ai-samples) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+vertex-ai-samples: Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud  
+[https://cloud.google.com/vertex-ai](https://cloud.google.com/vertex-ai)  
+[https://github.com/googlecloudplatform/vertex-ai-samples](https://github.com/googlecloudplatform/vertex-ai-samples)  
+6.64 stars per week over 92 weeks  
+614 stars, 417 forks, 37 watches  
+created 2021-05-27, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>ai, data-science, gcp, google-cloud-platform, ml, mlops, notebook, python, samples, vertex-ai</sup></sub>
 
 
 ### [shapash](https://github.com/maif/shapash) by [maif](https://github.com/maif)  
 shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone  
 [https://maif.github.io/shapash/](https://maif.github.io/shapash/)  
 [https://github.com/maif/shapash](https://github.com/maif/shapash)  
-15 stars per week over 136 weeks  
-2,044 stars, 251 forks, 38 watches  
-created 2020-04-29, last commit 2022-12-02, main language Jupyter Notebook  
+14 stars per week over 148 weeks  
+2,123 stars, 260 forks, 38 watches  
+created 2020-04-29, last commit 2023-03-03, main language Jupyter Notebook  
 <sub><sup>ethical-artificial-intelligence, explainability, explainable-ml, interpretability, lime, machine-learning, python, shap, transparency</sup></sub>
 
 
-### [lightly](https://github.com/lightly-ai/lightly) by [lightly-ai](https://github.com/lightly-ai)  
-lightly: A python library for self-supervised learning on images.  
-[https://github.com/lightly-ai/lightly](https://github.com/lightly-ai/lightly)  
-17 stars per week over 112 weeks  
-1,952 stars, 159 forks, 25 watches  
-created 2020-10-13, last commit 2022-12-06, main language Python  
-<sub><sup>active-learning, computer-vision, contrastive-learning, deep-learning, embeddings, machine-learning, pytorch, self-supervised-learning</sup></sub>
+### [CogVideo](https://github.com/thudm/cogvideo) by [thudm](https://github.com/thudm)  
+Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"  
+[https://github.com/thudm/cogvideo](https://github.com/thudm/cogvideo)  
+62 stars per week over 40 weeks  
+2,489 stars, 237 forks, 89 watches  
+created 2022-05-29, last commit 2022-11-17, main language Python  
 
 
-### [hypertools](https://github.com/contextlab/hypertools) by [contextlab](https://github.com/contextlab)  
-hypertools: A Python toolbox for gaining geometric insights into high-dimensional data  
-[http://hypertools.readthedocs.io/en/latest/](http://hypertools.readthedocs.io/en/latest/)  
-[https://github.com/contextlab/hypertools](https://github.com/contextlab/hypertools)  
-5.43 stars per week over 323 weeks  
-1,754 stars, 159 forks, 60 watches  
-created 2016-09-27, last commit 2022-02-12, main language Python  
-<sub><sup>data-visualization, data-wrangling, high-dimensional-data, python, text-vectorization, time-series, topic-modeling, visualization</sup></sub>
+### [Surprise](https://github.com/nicolashug/surprise) by [nicolashug](https://github.com/nicolashug)  
+Surprise: A Python scikit for building and analyzing recommender systems  
+[http://surpriselib.com](http://surpriselib.com)  
+[https://github.com/nicolashug/surprise](https://github.com/nicolashug/surprise)  
+17 stars per week over 332 weeks  
+5,705 stars, 968 forks, 147 watches  
+created 2016-10-23, last commit 2023-01-27, main language Python  
+<sub><sup>factorization, machine-learning, matrix, recommendation, recommender, svd, systems</sup></sub>
 
 
-### [sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk) by [aws](https://github.com/aws)  
-sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker  
-[https://sagemaker.readthedocs.io/](https://sagemaker.readthedocs.io/)  
-[https://github.com/aws/sagemaker-python-sdk](https://github.com/aws/sagemaker-python-sdk)  
-6.59 stars per week over 264 weeks  
-1,740 stars, 899 forks, 131 watches  
-created 2017-11-14, last commit 2022-12-07, main language Python  
-<sub><sup>aws, huggingface, machine-learning, mxnet, python, pytorch, sagemaker, tensorflow</sup></sub>
+### [baselines](https://github.com/openai/baselines) by [openai](https://github.com/openai)  
+OpenAI Baselines: high-quality implementations of reinforcement learning algorithms  
+[https://github.com/openai/baselines](https://github.com/openai/baselines)  
+45 stars per week over 301 weeks  
+13,822 stars, 4,533 forks, 615 watches  
+created 2017-05-24, last commit 2020-01-31, main language Python  
 
 
-### [koila](https://github.com/rentruewang/koila) by [rentruewang](https://github.com/rentruewang)  
-koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.  
-[https://rentruewang.github.io/koila](https://rentruewang.github.io/koila)  
-[https://github.com/rentruewang/koila](https://github.com/rentruewang/koila)  
-30 stars per week over 55 weeks  
-1,686 stars, 58 forks, 11 watches  
-created 2021-11-17, last commit 2022-11-26, main language Python  
-<sub><sup>deep-learning, gradient-accumulation, lazy-evaluation, machine-learning, memory-management, neural-network, out-of-memory, python, pytorch</sup></sub>
+### [dopamine](https://github.com/google/dopamine) by [google](https://github.com/google)  
+Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.   
+[https://github.com/google/dopamine](https://github.com/google/dopamine)  
+[https://github.com/google/dopamine](https://github.com/google/dopamine)  
+41 stars per week over 240 weeks  
+10,026 stars, 1,343 forks, 442 watches  
+created 2018-07-26, last commit 2023-02-27, main language Jupyter Notebook  
+<sub><sup>ai, google, ml, rl, tensorflow</sup></sub>
 
 
-### [pyLDAvis](https://github.com/bmabey/pyldavis) by [bmabey](https://github.com/bmabey)  
-pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.  
-[https://github.com/bmabey/pyldavis](https://github.com/bmabey/pyldavis)  
-4.17 stars per week over 399 weeks  
-1,667 stars, 340 forks, 57 watches  
-created 2015-04-09, last commit 2021-03-24, main language Jupyter Notebook  
+### [mljar-supervised](https://github.com/mljar/mljar-supervised) by [mljar](https://github.com/mljar)  
+mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation  
+[https://mljar.com](https://mljar.com)  
+[https://github.com/mljar/mljar-supervised](https://github.com/mljar/mljar-supervised)  
+11 stars per week over 225 weeks  
+2,489 stars, 326 forks, 43 watches  
+created 2018-11-05, last commit 2022-12-30, main language Python  
+<sub><sup>automated-machine-learning, automatic-machine-learning, automl, catboost, data-science, decision-tree, ensemble, feature-engineering, hyper-parameters, hyperparameter-optimization, lightgbm, machine-learning, mljar, models-tuning, neural-network, random-forest, scikit-learn, shap, tuning-algorithm, xgboost</sup></sub>
 
 
-### [greykite](https://github.com/linkedin/greykite) by [linkedin](https://github.com/linkedin)  
-greykite: A flexible, intuitive and fast forecasting library  
-[https://github.com/linkedin/greykite](https://github.com/linkedin/greykite)  
-19 stars per week over 84 weeks  
-1,648 stars, 87 forks, 37 watches  
-created 2021-04-27, last commit 2022-08-31, main language Python  
+### [yellowbrick](https://github.com/districtdatalabs/yellowbrick) by [districtdatalabs](https://github.com/districtdatalabs)  
+yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.  
+[http://www.scikit-yb.org/](http://www.scikit-yb.org/)  
+[https://github.com/districtdatalabs/yellowbrick](https://github.com/districtdatalabs/yellowbrick)  
+11 stars per week over 354 weeks  
+3,927 stars, 543 forks, 101 watches  
+created 2016-05-18, last commit 2023-02-27, main language Python  
+<sub><sup>anaconda, estimator, machine-learning, matplotlib, model-selection, python, scikit-learn, visual-analysis, visualization, visualizer</sup></sub>
 
 
-### [marqo](https://github.com/marqo-ai/marqo) by [marqo-ai](https://github.com/marqo-ai)  
-marqo: Tensor search for humans.  
-[https://www.marqo.ai/](https://www.marqo.ai/)  
-[https://github.com/marqo-ai/marqo](https://github.com/marqo-ai/marqo)  
-88 stars per week over 18 weeks  
-1,624 stars, 61 forks, 19 watches  
-created 2022-08-01, last commit 2022-12-07, main language Python  
-<sub><sup>clip, deep-learning, hacktoberfest, hacktoberfest-accepted, hnsw, information-retrieval, knn, machine-learning, machinelearning, multi-modal, natural-language-processing, search, search-engine, semantic-search, tensor-search, timm, transformers, vector-search, vision-language, visual-search</sup></sub>
+### [TabPFN](https://github.com/automl/tabpfn) by [automl](https://github.com/automl)  
+TabPFN: Official implementation of the TabPFN and the tabpfn package.  
+[https://arxiv.org/abs/2207.01848](https://arxiv.org/abs/2207.01848)  
+[https://github.com/automl/tabpfn](https://github.com/automl/tabpfn)  
+19 stars per week over 35 weeks  
+701 stars, 49 forks, 16 watches  
+created 2022-07-01, last commit 2023-03-02, main language Python  
 
 
-### [addons](https://github.com/tensorflow/addons) by [tensorflow](https://github.com/tensorflow)  
-addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons  
-[https://github.com/tensorflow/addons](https://github.com/tensorflow/addons)  
-7.55 stars per week over 210 weeks  
-1,587 stars, 594 forks, 57 watches  
-created 2018-11-26, last commit 2022-11-23, main language Python  
-<sub><sup>deep-learning, machine-learning, neural-network, python, tensorflow, tensorflow-addons</sup></sub>
+### [glow](https://github.com/pytorch/glow) by [pytorch](https://github.com/pytorch)  
+glow: Compiler for Neural Network hardware accelerators  
+[https://github.com/pytorch/glow](https://github.com/pytorch/glow)  
+10 stars per week over 283 weeks  
+2,920 stars, 665 forks, 155 watches  
+created 2017-09-29, last commit 2023-02-22, main language C++  
+
+
+### [scikit-lego](https://github.com/koaning/scikit-lego) by [koaning](https://github.com/koaning)  
+scikit-lego: Extra blocks for scikit-learn pipelines.  
+[https://scikit-lego.netlify.app](https://scikit-lego.netlify.app)  
+[https://github.com/koaning/scikit-lego](https://github.com/koaning/scikit-lego)  
+4.55 stars per week over 214 weeks  
+978 stars, 102 forks, 19 watches  
+created 2019-01-21, last commit 2023-03-04, main language Python  
+<sub><sup>common-sense, machine-learning, scikit-learn</sup></sub>
 
 
 ### [tensorly](https://github.com/tensorly/tensorly)  
 TensorLy: Tensor Learning in Python.  
 [http://tensorly.org](http://tensorly.org)  
 [https://github.com/tensorly/tensorly](https://github.com/tensorly/tensorly)  
-4.17 stars per week over 319 weeks  
-1,332 stars, 261 forks, 45 watches  
-created 2016-10-21, last commit 2022-11-22, main language Python  
+4.13 stars per week over 332 weeks  
+1,371 stars, 269 forks, 46 watches  
+created 2016-10-21, last commit 2023-02-16, main language Python  
 <sub><sup>cupy, decomposition, jax, machine-learning, mxnet, numpy, python, pytorch, regression, tensor, tensor-algebra, tensor-decomposition, tensor-factorization, tensor-learning, tensor-methods, tensor-regression, tensorflow, tensorly</sup></sub>
 
 
-### [advertorch](https://github.com/borealisai/advertorch) by [borealisai](https://github.com/borealisai)  
-advertorch: A Toolbox for Adversarial Robustness Research  
-[https://github.com/borealisai/advertorch](https://github.com/borealisai/advertorch)  
-5.33 stars per week over 209 weeks  
-1,119 stars, 178 forks, 27 watches  
-created 2018-11-29, last commit 2022-05-29, main language Jupyter Notebook  
-<sub><sup>adversarial-attacks, adversarial-example, adversarial-examples, adversarial-learning, adversarial-machine-learning, adversarial-perturbations, benchmarking, machine-learning, pytorch, robustness, security, toolbox</sup></sub>
+### [imodels](https://github.com/csinva/imodels) by [csinva](https://github.com/csinva)  
+imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).  
+[https://csinva.io/imodels](https://csinva.io/imodels)  
+[https://github.com/csinva/imodels](https://github.com/csinva/imodels)  
+5.51 stars per week over 191 weeks  
+1,054 stars, 97 forks, 24 watches  
+created 2019-07-04, last commit 2023-02-12, main language Jupyter Notebook  
+<sub><sup>ai, artificial-intelligence, bayesian-rule-list, data-science, explainable-ai, explainable-ml, imodels, interpretability, machine-learning, ml, optimal-classification-tree, python, rule-learning, rulefit, rules, scikit-learn, statistics, supervised-learning</sup></sub>
 
 
-### [dgl-ke](https://github.com/awslabs/dgl-ke) by [awslabs](https://github.com/awslabs)  
-dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.  
-[https://dglke.dgl.ai/doc/](https://dglke.dgl.ai/doc/)  
-[https://github.com/awslabs/dgl-ke](https://github.com/awslabs/dgl-ke)  
-7.15 stars per week over 144 weeks  
-1,030 stars, 174 forks, 23 watches  
-created 2020-03-03, last commit 2022-11-18, main language Python  
-<sub><sup>dgl, graph-learning, knowledge-graph, knowledge-graphs-embeddings, machine-learning</sup></sub>
+### [autograd](https://github.com/hips/autograd) by [hips](https://github.com/hips)  
+autograd: Efficiently computes derivatives of numpy code.  
+[https://github.com/hips/autograd](https://github.com/hips/autograd)  
+14 stars per week over 431 weeks  
+6,211 stars, 850 forks, 217 watches  
+created 2014-11-24, last commit 2022-09-29, main language Python  
 
 
-### [evaluate](https://github.com/huggingface/evaluate) by [huggingface](https://github.com/huggingface)  
-🤗 Evaluate: A library for easily evaluating machine learning models and datasets.  
-[https://huggingface.co/docs/evaluate](https://huggingface.co/docs/evaluate)  
-[https://github.com/huggingface/evaluate](https://github.com/huggingface/evaluate)  
-27 stars per week over 36 weeks  
-994 stars, 79 forks, 36 watches  
-created 2022-03-30, last commit 2022-12-06, main language Python  
-<sub><sup>evaluation, machine-learning</sup></sub>
+### [cleverhans](https://github.com/cleverhans-lab/cleverhans) by [cleverhans-lab](https://github.com/cleverhans-lab)  
+cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both  
+[https://github.com/cleverhans-lab/cleverhans](https://github.com/cleverhans-lab/cleverhans)  
+16 stars per week over 337 weeks  
+5,721 stars, 1,383 forks, 191 watches  
+created 2016-09-15, last commit 2023-01-31, main language Jupyter Notebook  
+<sub><sup>benchmarking, machine-learning, security</sup></sub>
 
 
-### [imodels](https://github.com/csinva/imodels) by [csinva](https://github.com/csinva)  
-imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).  
-[https://csinva.io/imodels](https://csinva.io/imodels)  
-[https://github.com/csinva/imodels](https://github.com/csinva/imodels)  
-5.43 stars per week over 178 weeks  
-971 stars, 97 forks, 22 watches  
-created 2019-07-04, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>ai, artificial-intelligence, bayesian-rule-list, data-science, explainable-ai, explainable-ml, imodels, interpretability, machine-learning, ml, optimal-classification-tree, python, rule-learning, rulefit, rules, scikit-learn, statistics, supervised-learning</sup></sub>
+### [Augmentor](https://github.com/mdbloice/augmentor) by [mdbloice](https://github.com/mdbloice)  
+Augmentor: Image augmentation library in Python for machine learning.  
+[https://augmentor.readthedocs.io/en/stable](https://augmentor.readthedocs.io/en/stable)  
+[https://github.com/mdbloice/augmentor](https://github.com/mdbloice/augmentor)  
+13 stars per week over 365 weeks  
+4,868 stars, 858 forks, 123 watches  
+created 2016-03-01, last commit 2023-01-24, main language Python  
+<sub><sup>augmentation, deep-learning, machine-learning, neural-networks</sup></sub>
 
 
-### [scikit-lego](https://github.com/koaning/scikit-lego) by [koaning](https://github.com/koaning)  
-scikit-lego: Extra blocks for scikit-learn pipelines.  
-[https://scikit-lego.netlify.app](https://scikit-lego.netlify.app)  
-[https://github.com/koaning/scikit-lego](https://github.com/koaning/scikit-lego)  
-4.61 stars per week over 202 weeks  
-932 stars, 99 forks, 18 watches  
-created 2019-01-21, last commit 2022-11-02, main language Python  
-<sub><sup>common-sense, machine-learning, scikit-learn</sup></sub>
+### [deep-daze](https://github.com/lucidrains/deep-daze) by [lucidrains](https://github.com/lucidrains)  
+deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun  
+[https://github.com/lucidrains/deep-daze](https://github.com/lucidrains/deep-daze)  
+39 stars per week over 111 weeks  
+4,384 stars, 329 forks, 75 watches  
+created 2021-01-17, last commit 2022-03-13, main language Python  
+<sub><sup>artificial-intelligence, deep-learning, implicit-neural-representation, multi-modality, siren, text-to-image, transformers</sup></sub>
 
 
-### [dask-ml](https://github.com/dask/dask-ml) by [dask](https://github.com/dask)  
-dask-ml: Scalable Machine Learning with Dask  
-[http://ml.dask.org](http://ml.dask.org)  
-[https://github.com/dask/dask-ml](https://github.com/dask/dask-ml)  
-2.91 stars per week over 285 weeks  
-832 stars, 236 forks, 40 watches  
-created 2017-06-15, last commit 2022-10-19, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [greykite](https://github.com/linkedin/greykite) by [linkedin](https://github.com/linkedin)  
+greykite: A flexible, intuitive and fast forecasting library  
+[https://github.com/linkedin/greykite](https://github.com/linkedin/greykite)  
+17 stars per week over 96 weeks  
+1,674 stars, 92 forks, 37 watches  
+created 2021-04-27, last commit 2022-08-31, main language Python  
 
 
-### [deeplab2](https://github.com/google-research/deeplab2) by [google-research](https://github.com/google-research)  
-DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.  
-[https://github.com/google-research/deeplab2](https://github.com/google-research/deeplab2)  
-9.91 stars per week over 82 weeks  
-813 stars, 137 forks, 19 watches  
-created 2021-05-12, last commit 2022-11-05, main language Python  
+### [hyperopt](https://github.com/hyperopt/hyperopt)  
+hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python  
+[http://hyperopt.github.io/hyperopt](http://hyperopt.github.io/hyperopt)  
+[https://github.com/hyperopt/hyperopt](https://github.com/hyperopt/hyperopt)  
+11 stars per week over 599 weeks  
+6,607 stars, 1,009 forks, 126 watches  
+created 2011-09-06, last commit 2021-11-29, main language Python  
 
 
-### [optimum](https://github.com/huggingface/optimum) by [huggingface](https://github.com/huggingface)  
-optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools  
-[https://huggingface.co/docs/optimum/](https://huggingface.co/docs/optimum/)  
-[https://github.com/huggingface/optimum](https://github.com/huggingface/optimum)  
-11 stars per week over 72 weeks  
-808 stars, 98 forks, 35 watches  
-created 2021-07-20, last commit 2022-12-06, main language Python  
-<sub><sup>graphcore, habana, inference, intel, onnx, onnxruntime, optimization, pytorch, quantization, training, transformers</sup></sub>
+### [hnswlib](https://github.com/nmslib/hnswlib) by [nmslib](https://github.com/nmslib)  
+hnswlib: Header-only C++/python library for fast approximate nearest neighbors  
+[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
+[https://github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  
+8.1 stars per week over 295 weeks  
+2,394 stars, 432 forks, 62 watches  
+created 2017-07-06, last commit 2023-02-05, main language C++  
 
 
-### [finetuner](https://github.com/jina-ai/finetuner) by [jina-ai](https://github.com/jina-ai)  
-finetuner: :dart: Task-oriented finetuning for better embeddings on neural search  
-[https://finetuner.jina.ai](https://finetuner.jina.ai)  
-[https://github.com/jina-ai/finetuner](https://github.com/jina-ai/finetuner)  
-10 stars per week over 69 weeks  
-754 stars, 37 forks, 21 watches  
-created 2021-08-11, last commit 2022-12-06, main language Python  
-<sub><sup>few-shot-learning, fine-tuning, finetuning, jina, metric-learning, negative-sampling, neural-search, pretrained-models, siamese-network, similarity-learning, transfer-learning, triplet-loss</sup></sub>
+### [koila](https://github.com/rentruewang/koila) by [rentruewang](https://github.com/rentruewang)  
+koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.  
+[https://rentruewang.github.io/koila](https://rentruewang.github.io/koila)  
+[https://github.com/rentruewang/koila](https://github.com/rentruewang/koila)  
+25 stars per week over 67 weeks  
+1,720 stars, 63 forks, 11 watches  
+created 2021-11-17, last commit 2023-02-28, main language Python  
+<sub><sup>deep-learning, gradient-accumulation, lazy-evaluation, machine-learning, memory-management, neural-network, out-of-memory, python, pytorch</sup></sub>
 
 
 ### [lazypredict](https://github.com/shankarpandala/lazypredict) by [shankarpandala](https://github.com/shankarpandala)  
 lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning  
 [https://github.com/shankarpandala/lazypredict](https://github.com/shankarpandala/lazypredict)  
-4.52 stars per week over 159 weeks  
-721 stars, 101 forks, 12 watches  
+10 stars per week over 172 weeks  
+1,874 stars, 212 forks, 23 watches  
 created 2019-11-16, last commit 2022-09-28, main language Python  
 <sub><sup>automl, classification, machine-learning, regression</sup></sub>
 
 
-### [TabPFN](https://github.com/automl/tabpfn) by [automl](https://github.com/automl)  
-TabPFN: Official implementation of the TabPFN and the tabpfn package.  
-[https://arxiv.org/abs/2207.01848](https://arxiv.org/abs/2207.01848)  
-[https://github.com/automl/tabpfn](https://github.com/automl/tabpfn)  
-28 stars per week over 22 weeks  
-644 stars, 44 forks, 16 watches  
-created 2022-07-01, last commit 2022-11-17, main language Python  
+### [squirrel-core](https://github.com/merantix-momentum/squirrel-core) by [merantix-momentum](https://github.com/merantix-momentum)  
+squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:  
+[https://squirrel-core.readthedocs.io/](https://squirrel-core.readthedocs.io/)  
+[https://github.com/merantix-momentum/squirrel-core](https://github.com/merantix-momentum/squirrel-core)  
+4.61 stars per week over 55 weeks  
+255 stars, 6 forks, 13 watches  
+created 2022-02-11, last commit 2023-03-02, main language Python  
+<sub><sup>ai, cloud-computing, collaboration, computer-vision, cv, data-ingestion, data-mesh, data-science, dataops, datasets, deep-learning, distributed, jax, machine-learning, ml, natural-language-processing, nlp, python, pytorch, tensorflow</sup></sub>
+
+
+### [pyLDAvis](https://github.com/bmabey/pyldavis) by [bmabey](https://github.com/bmabey)  
+pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.  
+[https://github.com/bmabey/pyldavis](https://github.com/bmabey/pyldavis)  
+4.09 stars per week over 412 weeks  
+1,688 stars, 350 forks, 56 watches  
+created 2015-04-09, last commit 2023-02-15, main language Jupyter Notebook  
+
+
+### [deeplab2](https://github.com/google-research/deeplab2) by [google-research](https://github.com/google-research)  
+DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.  
+[https://github.com/google-research/deeplab2](https://github.com/google-research/deeplab2)  
+9.24 stars per week over 94 weeks  
+874 stars, 146 forks, 22 watches  
+created 2021-05-12, last commit 2023-01-17, main language Python  
+
+
+### [dask-ml](https://github.com/dask/dask-ml) by [dask](https://github.com/dask)  
+dask-ml: Scalable Machine Learning with Dask  
+[http://ml.dask.org](http://ml.dask.org)  
+[https://github.com/dask/dask-ml](https://github.com/dask/dask-ml)  
+2.8 stars per week over 298 weeks  
+836 stars, 237 forks, 41 watches  
+created 2017-06-15, last commit 2023-02-10, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
 
 
 ### [cuda-python](https://github.com/nvidia/cuda-python) by [nvidia](https://github.com/nvidia)  
 cuda-python: CUDA Python Low-level Bindings  
 [https://nvidia.github.io/cuda-python/](https://nvidia.github.io/cuda-python/)  
 [https://github.com/nvidia/cuda-python](https://github.com/nvidia/cuda-python)  
-6.83 stars per week over 75 weeks  
-514 stars, 38 forks, 23 watches  
-created 2021-06-28, last commit 2022-11-04, main language Python  
+6.24 stars per week over 87 weeks  
+548 stars, 43 forks, 22 watches  
+created 2021-06-28, last commit 2023-02-28, main language Python  
 
 
-### [ml-ane-transformers](https://github.com/apple/ml-ane-transformers) by [apple](https://github.com/apple)  
-ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)  
-[https://github.com/apple/ml-ane-transformers](https://github.com/apple/ml-ane-transformers)  
-18 stars per week over 26 weeks  
-488 stars, 26 forks, 26 watches  
-created 2022-06-03, last commit 2022-08-09, main language Python  
+### [tiny-diffusion](https://github.com/tanelp/tiny-diffusion) by [tanelp](https://github.com/tanelp)  
+tiny-diffusion: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.  
+[https://github.com/tanelp/tiny-diffusion](https://github.com/tanelp/tiny-diffusion)  
+49 stars per week over 7 weeks  
+357 stars, 25 forks, 7 watches  
+created 2023-01-13, last commit 2023-02-19, main language Jupyter Notebook  
 
 
-### [Focal-Transformer](https://github.com/microsoft/focal-transformer) by [microsoft](https://github.com/microsoft)  
-Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"  
-[https://github.com/microsoft/focal-transformer](https://github.com/microsoft/focal-transformer)  
-6.61 stars per week over 73 weeks  
-486 stars, 57 forks, 17 watches  
-created 2021-07-10, last commit 2022-03-27, main language Python  
+### [pymde](https://github.com/cvxgrp/pymde) by [cvxgrp](https://github.com/cvxgrp)  
+pymde: Minimum-distortion embedding with PyTorch  
+[https://pymde.org](https://pymde.org)  
+[https://github.com/cvxgrp/pymde](https://github.com/cvxgrp/pymde)  
+3.94 stars per week over 118 weeks  
+465 stars, 26 forks, 9 watches  
+created 2020-11-29, last commit 2022-11-20, main language Python  
+<sub><sup>cuda, dimensionality-reduction, embedding, feature-vectors, gpu, graph-embedding, machine-learning, pytorch, visualization</sup></sub>
+
+
+### [dgl-ke](https://github.com/awslabs/dgl-ke) by [awslabs](https://github.com/awslabs)  
+dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.  
+[https://dglke.dgl.ai/doc/](https://dglke.dgl.ai/doc/)  
+[https://github.com/awslabs/dgl-ke](https://github.com/awslabs/dgl-ke)  
+6.88 stars per week over 156 weeks  
+1,078 stars, 183 forks, 23 watches  
+created 2020-03-03, last commit 2022-11-18, main language Python  
+<sub><sup>dgl, graph-learning, knowledge-graph, knowledge-graphs-embeddings, machine-learning</sup></sub>
+
+
+### [eli5](https://github.com/teamhg-memex/eli5) by [teamhg-memex](https://github.com/teamhg-memex)  
+eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions  
+[http://eli5.readthedocs.io](http://eli5.readthedocs.io)  
+[https://github.com/teamhg-memex/eli5](https://github.com/teamhg-memex/eli5)  
+7.86 stars per week over 337 weeks  
+2,651 stars, 326 forks, 70 watches  
+created 2016-09-15, last commit 2020-01-22, main language Jupyter Notebook  
+<sub><sup>crfsuite, data-science, explanation, inspection, lightgbm, machine-learning, nlp, python, scikit-learn, xgboost</sup></sub>
+
+
+### [keras-rl](https://github.com/keras-rl/keras-rl)  
+keras-rl: Deep Reinforcement Learning for Keras.  
+[http://keras-rl.readthedocs.io/](http://keras-rl.readthedocs.io/)  
+[https://github.com/keras-rl/keras-rl](https://github.com/keras-rl/keras-rl)  
+15 stars per week over 348 weeks  
+5,380 stars, 1,360 forks, 211 watches  
+created 2016-07-02, last commit 2019-11-11, main language Python  
+<sub><sup>keras, machine-learning, neural-networks, reinforcement-learning, tensorflow, theano</sup></sub>
 
 
 ### [pecos](https://github.com/amzn/pecos) by [amzn](https://github.com/amzn)  
 PECOS - Prediction for Enormous and Correlated Spaces  
 [https://libpecos.org/](https://libpecos.org/)  
 [https://github.com/amzn/pecos](https://github.com/amzn/pecos)  
-3.09 stars per week over 121 weeks  
-374 stars, 84 forks, 18 watches  
-created 2020-08-12, last commit 2022-12-03, main language Python  
+3.02 stars per week over 133 weeks  
+403 stars, 89 forks, 21 watches  
+created 2020-08-12, last commit 2023-02-28, main language Python  
 <sub><sup>approximate-nearest-neighbor-search, extreme-multi-label-classification, extreme-multi-label-ranking, machine-learning-algorithms, transformers</sup></sub>
 
 
-### [reclist](https://github.com/jacopotagliabue/reclist) by [jacopotagliabue](https://github.com/jacopotagliabue)  
-reclist: Behavioral "black-box" testing for recommender systems  
-[https://github.com/jacopotagliabue/reclist](https://github.com/jacopotagliabue/reclist)  
-6.56 stars per week over 56 weeks  
-369 stars, 19 forks, 8 watches  
-created 2021-11-08, last commit 2022-11-03, main language Python  
-<sub><sup>machine-learning, qa-automation, recommender-system</sup></sub>
+### [warp-drive](https://github.com/salesforce/warp-drive) by [salesforce](https://github.com/salesforce)  
+warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)  
+[https://github.com/salesforce/warp-drive](https://github.com/salesforce/warp-drive)  
+4.42 stars per week over 79 weeks  
+352 stars, 65 forks, 13 watches  
+created 2021-08-25, last commit 2023-01-17, main language Python  
+<sub><sup>cuda, deep-learning, gpu, high-throughput, multiagent-reinforcement-learning, numba, pytorch, reinforcement-learning</sup></sub>
 
 
 ### [FastTreeSHAP](https://github.com/linkedin/fasttreeshap) by [linkedin](https://github.com/linkedin)  
 FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models  
 [https://github.com/linkedin/fasttreeshap](https://github.com/linkedin/fasttreeshap)  
-7.82 stars per week over 45 weeks  
-354 stars, 22 forks, 6 watches  
+6.64 stars per week over 57 weeks  
+384 stars, 23 forks, 7 watches  
 created 2022-01-24, last commit 2022-11-29, main language Python  
 <sub><sup>explainable-ai, interpretability, lightgbm, machine-learning, random-forest, shap, xgboost</sup></sub>
 
 
-### [m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test) by [mrdbourke](https://github.com/mrdbourke)  
-m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.  
-[https://github.com/mrdbourke/m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test)  
-6.06 stars per week over 55 weeks  
-336 stars, 99 forks, 12 watches  
-created 2021-11-14, last commit 2022-07-16, main language Jupyter Notebook  
-<sub><sup>machine-learning, metal, tensorflow, tensorflow-macos</sup></sub>
+### [hypertools](https://github.com/contextlab/hypertools) by [contextlab](https://github.com/contextlab)  
+hypertools: A Python toolbox for gaining geometric insights into high-dimensional data  
+[http://hypertools.readthedocs.io/en/latest/](http://hypertools.readthedocs.io/en/latest/)  
+[https://github.com/contextlab/hypertools](https://github.com/contextlab/hypertools)  
+5.26 stars per week over 335 weeks  
+1,766 stars, 160 forks, 60 watches  
+created 2016-09-27, last commit 2022-02-12, main language Python  
+<sub><sup>data-visualization, data-wrangling, high-dimensional-data, python, text-vectorization, time-series, topic-modeling, visualization</sup></sub>
 
 
-### [warp-drive](https://github.com/salesforce/warp-drive) by [salesforce](https://github.com/salesforce)  
-warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU  
-[https://github.com/salesforce/warp-drive](https://github.com/salesforce/warp-drive)  
-4.9 stars per week over 67 weeks  
-328 stars, 57 forks, 12 watches  
-created 2021-08-25, last commit 2022-12-02, main language Python  
-<sub><sup>cuda, deep-learning, gpu, high-throughput, multiagent-reinforcement-learning, numba, pytorch, reinforcement-learning</sup></sub>
+### [reclist](https://github.com/jacopotagliabue/reclist) by [jacopotagliabue](https://github.com/jacopotagliabue)  
+reclist: Behavioral "black-box" testing for recommender systems  
+[https://github.com/jacopotagliabue/reclist](https://github.com/jacopotagliabue/reclist)  
+5.65 stars per week over 68 weeks  
+389 stars, 21 forks, 9 watches  
+created 2021-11-08, last commit 2023-01-26, main language Python  
+<sub><sup>machine-learning, qa-automation, recommender-system</sup></sub>
 
 
-### [squirrel-core](https://github.com/merantix-momentum/squirrel-core) by [merantix-momentum](https://github.com/merantix-momentum)  
-squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:  
-[https://squirrel-core.readthedocs.io/](https://squirrel-core.readthedocs.io/)  
-[https://github.com/merantix-momentum/squirrel-core](https://github.com/merantix-momentum/squirrel-core)  
-5.83 stars per week over 42 weeks  
-249 stars, 4 forks, 14 watches  
-created 2022-02-11, last commit 2022-11-17, main language Python  
-<sub><sup>ai, cloud-computing, collaboration, computer-vision, cv, data-ingestion, data-mesh, data-science, dataops, datasets, deep-learning, distributed, jax, machine-learning, ml, natural-language-processing, nlp, python, pytorch, tensorflow</sup></sub>
+### [auton-survival](https://github.com/autonlab/auton-survival) by [autonlab](https://github.com/autonlab)  
+auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events   
+[http://autonlab.github.io/auton-survival](http://autonlab.github.io/auton-survival)  
+[https://github.com/autonlab/auton-survival](https://github.com/autonlab/auton-survival)  
+1.39 stars per week over 152 weeks  
+212 stars, 52 forks, 7 watches  
+created 2020-04-01, last commit 2023-03-03, main language Python  
+<sub><sup>causal-inference, counterfactual-inference, data-science, deep-learning, graphical-models, machine-learning, python, regression, reliability-analysis, survival-analysis, time-to-event</sup></sub>
 
 
-### [pymdp](https://github.com/infer-actively/pymdp) by [infer-actively](https://github.com/infer-actively)  
-pymdp: A Python implementation of active inference for Markov Decision Processes  
-[https://github.com/infer-actively/pymdp](https://github.com/infer-actively/pymdp)  
-1.47 stars per week over 158 weeks  
-232 stars, 37 forks, 23 watches  
-created 2019-11-27, last commit 2022-10-26, main language Python  
+### [maxvit](https://github.com/google-research/maxvit) by [google-research](https://github.com/google-research)  
+[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...  
+[https://github.com/google-research/maxvit](https://github.com/google-research/maxvit)  
+9.0 stars per week over 34 weeks  
+310 stars, 19 forks, 6 watches  
+created 2022-07-07, last commit 2022-10-23, main language Jupyter Notebook  
+<sub><sup>architecture, classification, cnn, computer-vision, image, image-processing, mlp, object-detection, resnet, segmentation, transformer, transformer-architecture, vision-transformer</sup></sub>
+
+
+### [breaching](https://github.com/jonasgeiping/breaching) by [jonasgeiping](https://github.com/jonasgeiping)  
+Breaching privacy in federated learning scenarios for vision and text  
+[https://github.com/jonasgeiping/breaching](https://github.com/jonasgeiping/breaching)  
+2.69 stars per week over 54 weeks  
+147 stars, 32 forks, 3 watches  
+created 2022-02-15, last commit 2023-02-09, main language Python  
+<sub><sup>decentralized-learning, federated-learning, machine-learning, privacy-audit, pytorch, security</sup></sub>
+
+
+### [ml-ane-transformers](https://github.com/apple/ml-ane-transformers) by [apple](https://github.com/apple)  
+ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)  
+[https://github.com/apple/ml-ane-transformers](https://github.com/apple/ml-ane-transformers)  
+15 stars per week over 39 weeks  
+600 stars, 31 forks, 34 watches  
+created 2022-06-03, last commit 2022-08-09, main language Python  
+
+
+### [advertorch](https://github.com/borealisai/advertorch) by [borealisai](https://github.com/borealisai)  
+advertorch: A Toolbox for Adversarial Robustness Research  
+[https://github.com/borealisai/advertorch](https://github.com/borealisai/advertorch)  
+5.13 stars per week over 222 weeks  
+1,141 stars, 180 forks, 27 watches  
+created 2018-11-29, last commit 2022-05-29, main language Jupyter Notebook  
+<sub><sup>adversarial-attacks, adversarial-example, adversarial-examples, adversarial-learning, adversarial-machine-learning, adversarial-perturbations, benchmarking, machine-learning, pytorch, robustness, security, toolbox</sup></sub>
 
 
 ### [pystan](https://github.com/stan-dev/pystan) by [stan-dev](https://github.com/stan-dev)  
 PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io  
 [https://github.com/stan-dev/pystan](https://github.com/stan-dev/pystan)  
-0.8 stars per week over 272 weeks  
-219 stars, 43 forks, 12 watches  
+0.85 stars per week over 285 weeks  
+243 stars, 46 forks, 13 watches  
 created 2017-09-17, last commit 2022-11-26, main language Python  
 
 
-### [CARLA](https://github.com/carla-recourse/carla) by [carla-recourse](https://github.com/carla-recourse)  
-CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms  
-[https://github.com/carla-recourse/carla](https://github.com/carla-recourse/carla)  
-1.89 stars per week over 104 weeks  
-197 stars, 41 forks, 5 watches  
-created 2020-12-09, last commit 2022-09-07, main language Python  
-<sub><sup>artificial-intelligence, benchmark, benchmarking, counterfactual, counterfactual-explanations, counterfactuals, explainability, explainable-ai, explainable-ml, machine-learning, python, pytorch, recourse, tensorflow, tensorflow2</sup></sub>
-
-
-### [auton-survival](https://github.com/autonlab/auton-survival) by [autonlab](https://github.com/autonlab)  
-auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events   
-[http://autonlab.github.io/auton-survival](http://autonlab.github.io/auton-survival)  
-[https://github.com/autonlab/auton-survival](https://github.com/autonlab/auton-survival)  
-1.39 stars per week over 140 weeks  
-194 stars, 48 forks, 6 watches  
-created 2020-04-01, last commit 2022-11-05, main language Python  
-<sub><sup>causal-inference, counterfactual-inference, data-science, deep-learning, graphical-models, machine-learning, python, regression, reliability-analysis, survival-analysis, time-to-event</sup></sub>
+### [pymdp](https://github.com/infer-actively/pymdp) by [infer-actively](https://github.com/infer-actively)  
+pymdp: A Python implementation of active inference for Markov Decision Processes  
+[https://github.com/infer-actively/pymdp](https://github.com/infer-actively/pymdp)  
+1.44 stars per week over 170 weeks  
+245 stars, 38 forks, 24 watches  
+created 2019-11-27, last commit 2022-12-08, main language Python  
 
 
 ### [torch-points3d](https://github.com/nicolas-chaulet/torch-points3d) by [nicolas-chaulet](https://github.com/nicolas-chaulet)  
 torch-points3d: Pytorch framework for doing deep learning on point clouds.  
 [https://torch-points3d.readthedocs.io/en/latest/](https://torch-points3d.readthedocs.io/en/latest/)  
 [https://github.com/nicolas-chaulet/torch-points3d](https://github.com/nicolas-chaulet/torch-points3d)  
-2.49 stars per week over 47 weeks  
-118 stars, 30 forks, 0 watches  
+2.22 stars per week over 60 weeks  
+133 stars, 32 forks, 0 watches  
 created 2022-01-09, last commit 2021-12-10, main language None  
 
 
+### [m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test) by [mrdbourke](https://github.com/mrdbourke)  
+m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.  
+[https://github.com/mrdbourke/m1-machine-learning-test](https://github.com/mrdbourke/m1-machine-learning-test)  
+5.57 stars per week over 68 weeks  
+379 stars, 120 forks, 12 watches  
+created 2021-11-14, last commit 2022-07-16, main language Jupyter Notebook  
+<sub><sup>machine-learning, metal, tensorflow, tensorflow-macos</sup></sub>
+
+
+### [CARLA](https://github.com/carla-recourse/carla) by [carla-recourse](https://github.com/carla-recourse)  
+CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms  
+[https://github.com/carla-recourse/carla](https://github.com/carla-recourse/carla)  
+1.78 stars per week over 116 weeks  
+207 stars, 49 forks, 5 watches  
+created 2020-12-09, last commit 2023-02-22, main language Python  
+<sub><sup>artificial-intelligence, benchmark, benchmarking, counterfactual, counterfactual-explanations, counterfactuals, explainability, explainable-ai, explainable-ml, machine-learning, python, pytorch, recourse, tensorflow, tensorflow2</sup></sub>
+
+
+### [Focal-Transformer](https://github.com/microsoft/focal-transformer) by [microsoft](https://github.com/microsoft)  
+Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"  
+[https://github.com/microsoft/focal-transformer](https://github.com/microsoft/focal-transformer)  
+5.73 stars per week over 86 weeks  
+494 stars, 58 forks, 17 watches  
+created 2021-07-10, last commit 2022-03-27, main language Python  
+
+
 ### [domino](https://github.com/hazyresearch/domino) by [hazyresearch](https://github.com/hazyresearch)  
 hazyresearch/domino  
 [https://github.com/hazyresearch/domino](https://github.com/hazyresearch/domino)  
-1.84 stars per week over 53 weeks  
-98 stars, 14 forks, 20 watches  
+1.58 stars per week over 65 weeks  
+104 stars, 16 forks, 20 watches  
 created 2021-11-29, last commit 2022-08-02, main language Python  
 
 
+### [forward_forward_vhts](https://github.com/pgniewko/forward_forward_vhts) by [pgniewko](https://github.com/pgniewko)  
+forward_forward_vhts: The Forward-Forward Algorithm for Drug Discovery  
+[https://github.com/pgniewko/forward_forward_vhts](https://github.com/pgniewko/forward_forward_vhts)  
+2.97 stars per week over 9 weeks  
+28 stars, 5 forks, 1 watches  
+created 2022-12-29, last commit 2022-12-30, main language Jupyter Notebook  
+
+
 ### [cottonwood](https://github.com/brohrer/cottonwood) by [brohrer](https://github.com/brohrer)  
 cottonwood: A flexible neural network framework for running experiments and trying ideas.  
 [https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/](https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/)  
 [https://github.com/brohrer/cottonwood](https://github.com/brohrer/cottonwood)  
-0.43 stars per week over 166 weeks  
-72 stars, 13 forks, 14 watches  
+0.41 stars per week over 179 weeks  
+74 stars, 13 forks, 14 watches  
 created 2019-09-29, last commit 2020-02-02, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/nlp.md b/categories/nlp.md
index 7e810a0..f72c8ca 100644
--- a/categories/nlp.md
+++ b/categories/nlp.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 69 curated nlp Python libraries and frameworks ordered by stars.  
+A selection of 88 curated nlp Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,655 +9,823 @@ Checkout the interactive version that you can filter and sort:
 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.  
 [https://huggingface.co/transformers](https://huggingface.co/transformers)  
 [https://github.com/huggingface/transformers](https://github.com/huggingface/transformers)  
-352 stars per week over 214 weeks  
-75,566 stars, 17,147 forks, 860 watches  
-created 2018-10-29, last commit 2022-12-07, main language Python  
+367 stars per week over 226 weeks  
+83,475 stars, 18,339 forks, 912 watches  
+created 2018-10-29, last commit 2023-03-03, main language Python  
 <sub><sup>bert, deep-learning, flax, hacktoberfest, jax, language-model, language-models, machine-learning, model-hub, natural-language-processing, nlp, nlp-library, pretrained-models, python, pytorch, pytorch-transformers, seq2seq, speech-recognition, tensorflow, transformer</sup></sub>
 
 
-### [spaCy](https://github.com/explosion/spacy) by [explosion](https://github.com/explosion)  
-spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python  
-[https://spacy.io](https://spacy.io)  
-[https://github.com/explosion/spacy](https://github.com/explosion/spacy)  
-56 stars per week over 439 weeks  
-24,716 stars, 3,984 forks, 547 watches  
-created 2014-07-03, last commit 2022-12-07, main language Python  
-<sub><sup>ai, artificial-intelligence, cython, data-science, deep-learning, entity-linking, machine-learning, named-entity-recognition, natural-language-processing, neural-network, neural-networks, nlp, nlp-library, python, spacy, text-classification, tokenization</sup></sub>
+### [ChatGPT](https://github.com/acheong08/chatgpt) by [acheong08](https://github.com/acheong08)  
+ChatGPT: Reverse engineered ChatGPT API  
+[https://github.com/acheong08/chatgpt](https://github.com/acheong08/chatgpt)  
+1507 stars per week over 13 weeks  
+19,819 stars, 3,052 forks, 210 watches  
+created 2022-12-03, last commit 2023-03-04, main language Python  
+<sub><sup>chatgpt, cli, gptchat, library, pypi-package, revchatgpt</sup></sub>
 
 
-### [fairseq](https://github.com/pytorch/fairseq) by [pytorch](https://github.com/pytorch)  
-fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.  
-[https://github.com/pytorch/fairseq](https://github.com/pytorch/fairseq)  
-72 stars per week over 275 weeks  
-20,065 stars, 5,058 forks, 354 watches  
-created 2017-08-29, last commit 2022-11-29, main language Python  
-<sub><sup>artificial-intelligence, python, pytorch</sup></sub>
+### [Open-Assistant](https://github.com/laion-ai/open-assistant) by [laion-ai](https://github.com/laion-ai)  
+Open-Assistant: OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.  
+[https://open-assistant.io](https://open-assistant.io)  
+[https://github.com/laion-ai/open-assistant](https://github.com/laion-ai/open-assistant)  
+1514 stars per week over 11 weeks  
+17,736 stars, 1,338 forks, 270 watches  
+created 2022-12-13, last commit 2023-03-04, main language Python  
+<sub><sup>ai, assistant, chatgpt, discord-bot, language-model, machine-learning, nextjs, python, rlhf</sup></sub>
 
 
-### [gpt-2](https://github.com/openai/gpt-2) by [openai](https://github.com/openai)  
-gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"  
-[https://openai.com/blog/better-language-models/](https://openai.com/blog/better-language-models/)  
-[https://github.com/openai/gpt-2](https://github.com/openai/gpt-2)  
-79 stars per week over 199 weeks  
-15,784 stars, 3,983 forks, 585 watches  
-created 2019-02-11, last commit 2020-12-02, main language Python  
-<sub><sup>paper</sup></sub>
+### [langchain](https://github.com/hwchase17/langchain) by [hwchase17](https://github.com/hwchase17)  
+langchain: ⚡ Building applications with LLMs through composability ⚡  
+[https://github.com/hwchase17/langchain](https://github.com/hwchase17/langchain)  
+462 stars per week over 19 weeks  
+9,178 stars, 810 forks, 137 watches  
+created 2022-10-17, last commit 2023-03-04, main language Python  
+
+
+### [EdgeGPT](https://github.com/acheong08/edgegpt) by [acheong08](https://github.com/acheong08)  
+EdgeGPT: Reverse engineered API of Microsoft's Bing Chat  
+[https://github.com/acheong08/edgegpt](https://github.com/acheong08/edgegpt)  
+687 stars per week over 3 weeks  
+2,357 stars, 228 forks, 34 watches  
+created 2023-02-09, last commit 2023-03-05, main language Python  
+<sub><sup>binggpt, chatgpt, edge, edgegpt, gpt, reverse-engineering</sup></sub>
 
 
 ### [datasets](https://github.com/huggingface/datasets) by [huggingface](https://github.com/huggingface)  
 datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools  
 [https://huggingface.co/docs/datasets](https://huggingface.co/docs/datasets)  
 [https://github.com/huggingface/datasets](https://github.com/huggingface/datasets)  
-105 stars per week over 140 weeks  
-14,856 stars, 1,932 forks, 256 watches  
-created 2020-03-26, last commit 2022-12-06, main language Python  
+100 stars per week over 153 weeks  
+15,388 stars, 2,044 forks, 261 watches  
+created 2020-03-26, last commit 2023-03-03, main language Python  
 <sub><sup>computer-vision, datasets, deep-learning, evaluation, hacktoberfest, machine-learning, metrics, natural-language-processing, nlp, numpy, pandas, pytorch, speech, tensorflow</sup></sub>
 
 
-### [gensim](https://github.com/rare-technologies/gensim) by [rare-technologies](https://github.com/rare-technologies)  
-gensim: Topic Modelling for Humans  
-[https://radimrehurek.com/gensim](https://radimrehurek.com/gensim)  
-[https://github.com/rare-technologies/gensim](https://github.com/rare-technologies/gensim)  
-22 stars per week over 616 weeks  
-13,764 stars, 4,294 forks, 432 watches  
-created 2011-02-10, last commit 2022-12-07, main language Python  
-<sub><sup>data-mining, data-science, document-similarity, fasttext, gensim, information-retrieval, machine-learning, natural-language-processing, neural-network, nlp, python, topic-modeling, word-embeddings, word-similarity, word2vec</sup></sub>
+### [PaLM-rlhf-pytorch](https://github.com/lucidrains/palm-rlhf-pytorch) by [lucidrains](https://github.com/lucidrains)  
+PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM  
+[https://github.com/lucidrains/palm-rlhf-pytorch](https://github.com/lucidrains/palm-rlhf-pytorch)  
+450 stars per week over 12 weeks  
+5,536 stars, 431 forks, 109 watches  
+created 2022-12-09, last commit 2023-03-01, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, human-feedback, reinforcement-learning, transformers</sup></sub>
 
 
-### [ChatterBot](https://github.com/gunthercox/chatterbot) by [gunthercox](https://github.com/gunthercox)  
-ChatterBot is a machine learning, conversational dialog engine for creating chat bots  
-[https://chatterbot.readthedocs.io](https://chatterbot.readthedocs.io)  
-[https://github.com/gunthercox/chatterbot](https://github.com/gunthercox/chatterbot)  
-29 stars per week over 427 weeks  
-12,704 stars, 4,181 forks, 553 watches  
-created 2014-09-28, last commit 2021-06-01, main language Python  
-<sub><sup>bot, chatbot, chatterbot, conversation, language, machine-learning, python</sup></sub>
+### [spaCy](https://github.com/explosion/spacy) by [explosion](https://github.com/explosion)  
+spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python  
+[https://spacy.io](https://spacy.io)  
+[https://github.com/explosion/spacy](https://github.com/explosion/spacy)  
+56 stars per week over 452 weeks  
+25,397 stars, 4,040 forks, 548 watches  
+created 2014-07-03, last commit 2023-03-01, main language Python  
+<sub><sup>ai, artificial-intelligence, cython, data-science, deep-learning, entity-linking, machine-learning, named-entity-recognition, natural-language-processing, neural-network, neural-networks, nlp, nlp-library, python, spacy, text-classification, tokenization</sup></sub>
+
+
+### [fairseq](https://github.com/pytorch/fairseq) by [pytorch](https://github.com/pytorch)  
+fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.  
+[https://github.com/pytorch/fairseq](https://github.com/pytorch/fairseq)  
+73 stars per week over 287 weeks  
+21,071 stars, 5,271 forks, 358 watches  
+created 2017-08-29, last commit 2023-02-23, main language Python  
+<sub><sup>artificial-intelligence, python, pytorch</sup></sub>
+
+
+### [llama](https://github.com/facebookresearch/llama) by [facebookresearch](https://github.com/facebookresearch)  
+llama: Inference code for LLaMA models  
+[https://github.com/facebookresearch/llama](https://github.com/facebookresearch/llama)  
+2540 stars per week over 2 weeks  
+6,895 stars, 708 forks, 87 watches  
+created 2023-02-14, last commit 2023-03-04, main language Python  
 
 
 ### [flair](https://github.com/flairnlp/flair) by [flairnlp](https://github.com/flairnlp)  
 flair: A very simple framework for state-of-the-art Natural Language Processing (NLP)  
 [https://github.com/flairnlp/flair](https://github.com/flairnlp/flair)  
-52 stars per week over 234 weeks  
-12,280 stars, 1,972 forks, 204 watches  
-created 2018-06-11, last commit 2022-12-06, main language Python  
+50 stars per week over 246 weeks  
+12,538 stars, 1,999 forks, 202 watches  
+created 2018-06-11, last commit 2023-03-03, main language Python  
 <sub><sup>machine-learning, named-entity-recognition, natural-language-processing, nlp, pytorch, semantic-role-labeling, sequence-labeling, word-embeddings</sup></sub>
 
 
-### [allennlp](https://github.com/allenai/allennlp) by [allenai](https://github.com/allenai)  
-allennlp: An open-source NLP research library, built on PyTorch.  
-[http://www.allennlp.org](http://www.allennlp.org)  
-[https://github.com/allenai/allennlp](https://github.com/allenai/allennlp)  
-38 stars per week over 290 weeks  
-11,320 stars, 2,230 forks, 280 watches  
-created 2017-05-15, last commit 2022-11-22, main language Python  
-<sub><sup>data-science, deep-learning, natural-language-processing, nlp, python, pytorch</sup></sub>
+### [speechbrain](https://github.com/speechbrain/speechbrain)  
+speechbrain: A PyTorch-based Speech Toolkit  
+[http://speechbrain.github.io](http://speechbrain.github.io)  
+[https://github.com/speechbrain/speechbrain](https://github.com/speechbrain/speechbrain)  
+36 stars per week over 148 weeks  
+5,413 stars, 1,023 forks, 115 watches  
+created 2020-04-28, last commit 2023-03-03, main language Python  
+<sub><sup>asr, audio, audio-processing, deep-learning, huggingface, language-model, pytorch, speaker-diarization, speaker-recognition, speaker-verification, speech-enhancement, speech-processing, speech-recognition, speech-separation, speech-to-text, speech-toolkit, speechrecognition, spoken-language-understanding, transformers, voice-recognition</sup></sub>
 
 
-### [nltk](https://github.com/nltk/nltk)  
-NLTK Source  
-[https://www.nltk.org](https://www.nltk.org)  
-[https://github.com/nltk/nltk](https://github.com/nltk/nltk)  
-16 stars per week over 691 weeks  
-11,291 stars, 2,665 forks, 469 watches  
-created 2009-09-07, last commit 2022-12-07, main language Python  
-<sub><sup>machine-learning, natural-language-processing, nlp, nltk, python</sup></sub>
+### [espnet](https://github.com/espnet/espnet)  
+espnet: End-to-End Speech Processing Toolkit  
+[https://espnet.github.io/espnet/](https://espnet.github.io/espnet/)  
+[https://github.com/espnet/espnet](https://github.com/espnet/espnet)  
+22 stars per week over 272 weeks  
+6,152 stars, 1,856 forks, 176 watches  
+created 2017-12-13, last commit 2023-03-03, main language Python  
+<sub><sup>chainer, deep-learning, end-to-end, kaldi, machine-translation, pytorch, singing-voice-synthesis, speaker-diarization, speech-enhancement, speech-recognition, speech-separation, speech-synthesis, speech-translation, spoken-language-understanding, voice-conversion</sup></sub>
+
+
+### [NeMo](https://github.com/nvidia/nemo) by [nvidia](https://github.com/nvidia)  
+NeMo: a toolkit for conversational AI  
+[https://nvidia.github.io/NeMo/](https://nvidia.github.io/NeMo/)  
+[https://github.com/nvidia/nemo](https://github.com/nvidia/nemo)  
+30 stars per week over 186 weeks  
+5,790 stars, 1,406 forks, 139 watches  
+created 2019-08-05, last commit 2023-03-02, main language Python  
+<sub><sup>asr, deep-learning, language-model, machine-translation, neural-network, nlp, nlp-machine-learning, nmt, speaker-diarization, speaker-recognition, speech-recognition, speech-synthesis, speech-to-text, text-normalization, text-to-speech, tts</sup></sub>
+
+
+### [paper-qa](https://github.com/whitead/paper-qa) by [whitead](https://github.com/whitead)  
+paper-qa: LLM Chain for answering questions from documents with citations  
+[https://github.com/whitead/paper-qa](https://github.com/whitead/paper-qa)  
+249 stars per week over 4 weeks  
+997 stars, 66 forks, 21 watches  
+created 2023-02-05, last commit 2023-03-02, main language Python  
+
+
+### [BERTopic](https://github.com/maartengr/bertopic) by [maartengr](https://github.com/maartengr)  
+BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.   
+[https://maartengr.github.io/BERTopic/](https://maartengr.github.io/BERTopic/)  
+[https://github.com/maartengr/bertopic](https://github.com/maartengr/bertopic)  
+30 stars per week over 127 weeks  
+3,870 stars, 490 forks, 44 watches  
+created 2020-09-22, last commit 2023-03-02, main language Python  
+<sub><sup>bert, ldavis, machine-learning, nlp, sentence-embeddings, topic, topic-modeling, topic-modelling, topic-models, transformers</sup></sub>
+
+
+### [doccano](https://github.com/doccano/doccano)  
+doccano: Open source annotation tool for machine learning practitioners.  
+[https://doccano.herokuapp.com](https://doccano.herokuapp.com)  
+[https://github.com/doccano/doccano](https://github.com/doccano/doccano)  
+29 stars per week over 251 weeks  
+7,406 stars, 1,496 forks, 125 watches  
+created 2018-05-09, last commit 2023-03-03, main language Python  
+<sub><sup>annotation-tool, data-labeling, dataset, datasets, machine-learning, natural-language-processing, nuxt, nuxtjs, python, text-annotation, vue, vuejs</sup></sub>
+
+
+### [gensim](https://github.com/rare-technologies/gensim) by [rare-technologies](https://github.com/rare-technologies)  
+gensim: Topic Modelling for Humans  
+[https://radimrehurek.com/gensim](https://radimrehurek.com/gensim)  
+[https://github.com/rare-technologies/gensim](https://github.com/rare-technologies/gensim)  
+22 stars per week over 629 weeks  
+14,019 stars, 4,327 forks, 430 watches  
+created 2011-02-10, last commit 2023-03-03, main language Python  
+<sub><sup>data-mining, data-science, document-similarity, fasttext, gensim, information-retrieval, machine-learning, natural-language-processing, neural-network, nlp, python, topic-modeling, word-embeddings, word-similarity, word2vec</sup></sub>
+
+
+### [unilm](https://github.com/microsoft/unilm) by [microsoft](https://github.com/microsoft)  
+unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities  
+[https://aka.ms/nlpagi](https://aka.ms/nlpagi)  
+[https://github.com/microsoft/unilm](https://github.com/microsoft/unilm)  
+53 stars per week over 188 weeks  
+10,064 stars, 1,605 forks, 251 watches  
+created 2019-07-23, last commit 2023-03-01, main language Python  
+<sub><sup>beit, beit-3, deepnet, document-ai, document-foundation-model, foundation-models, language-generation, layoutlm, layoutxlm, llm, minilm, mllm, multimodal, multimodal-pre-trained-model, nlp, pre-trained-model, small-pre-trained-model, trocr, unilm, xlm-e</sup></sub>
 
 
 ### [ParlAI](https://github.com/facebookresearch/parlai) by [facebookresearch](https://github.com/facebookresearch)  
 ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.  
 [https://parl.ai](https://parl.ai)  
 [https://github.com/facebookresearch/parlai](https://github.com/facebookresearch/parlai)  
-32 stars per week over 293 weeks  
-9,643 stars, 1,970 forks, 289 watches  
-created 2017-04-24, last commit 2022-12-06, main language Python  
+32 stars per week over 305 weeks  
+9,832 stars, 2,001 forks, 292 watches  
+created 2017-04-24, last commit 2023-02-24, main language Python  
+
+
+### [setfit](https://github.com/huggingface/setfit) by [huggingface](https://github.com/huggingface)  
+setfit: Efficient few-shot learning with Sentence Transformers  
+[https://github.com/huggingface/setfit](https://github.com/huggingface/setfit)  
+32 stars per week over 35 weeks  
+1,164 stars, 118 forks, 16 watches  
+created 2022-06-30, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>few-shot-learning, nlp, sentence-transformers</sup></sub>
 
 
 ### [sentence-transformers](https://github.com/ukplab/sentence-transformers) by [ukplab](https://github.com/ukplab)  
 sentence-transformers: Multilingual Sentence & Image Embeddings with BERT  
 [https://www.SBERT.net](https://www.SBERT.net)  
 [https://github.com/ukplab/sentence-transformers](https://github.com/ukplab/sentence-transformers)  
-50 stars per week over 176 weeks  
-8,954 stars, 1,784 forks, 117 watches  
-created 2019-07-24, last commit 2022-11-28, main language Python  
+50 stars per week over 188 weeks  
+9,570 stars, 1,869 forks, 119 watches  
+created 2019-07-24, last commit 2023-01-26, main language Python  
 
 
-### [TextBlob](https://github.com/sloria/textblob) by [sloria](https://github.com/sloria)  
-TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.  
-[https://textblob.readthedocs.io/](https://textblob.readthedocs.io/)  
-[https://github.com/sloria/textblob](https://github.com/sloria/textblob)  
-17 stars per week over 492 weeks  
-8,377 stars, 1,097 forks, 270 watches  
-created 2013-06-30, last commit 2021-10-22, main language Python  
-<sub><sup>natural-language-processing, nlp, nltk, pattern, python, python-2, python-3</sup></sub>
+### [BioGPT](https://github.com/microsoft/biogpt) by [microsoft](https://github.com/microsoft)  
+microsoft/biogpt  
+[https://github.com/microsoft/biogpt](https://github.com/microsoft/biogpt)  
+114 stars per week over 28 weeks  
+3,312 stars, 312 forks, 61 watches  
+created 2022-08-15, last commit 2023-02-13, main language Python  
 
 
-### [pattern](https://github.com/clips/pattern) by [clips](https://github.com/clips)  
-pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.  
-[https://github.com/clips/pattern/wiki](https://github.com/clips/pattern/wiki)  
-[https://github.com/clips/pattern](https://github.com/clips/pattern)  
-13 stars per week over 605 weeks  
-8,358 stars, 1,593 forks, 548 watches  
-created 2011-05-03, last commit 2020-04-25, main language Python  
-<sub><sup>machine-learning, natural-language-processing, network-analysis, python, sentiment-analysis, web-mining, wordnet</sup></sub>
+### [nltk](https://github.com/nltk/nltk)  
+NLTK Source  
+[https://www.nltk.org](https://www.nltk.org)  
+[https://github.com/nltk/nltk](https://github.com/nltk/nltk)  
+16 stars per week over 703 weeks  
+11,586 stars, 2,696 forks, 468 watches  
+created 2009-09-07, last commit 2023-02-20, main language Python  
+<sub><sup>machine-learning, natural-language-processing, nlp, nltk, python</sup></sub>
 
 
-### [unilm](https://github.com/microsoft/unilm) by [microsoft](https://github.com/microsoft)  
-unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities  
-[https://aka.ms/nlpagi](https://aka.ms/nlpagi)  
-[https://github.com/microsoft/unilm](https://github.com/microsoft/unilm)  
-41 stars per week over 176 weeks  
-7,384 stars, 1,354 forks, 177 watches  
-created 2019-07-23, last commit 2022-11-28, main language Python  
-<sub><sup>beit, beit-3, deepnet, document-ai, document-foundation-model, foundation-models, infoxlm, language-generation, language-understanding, layoutlm, layoutxlm, minilm, multimodal-pre-trained-model, nlp, pre-trained-model, small-pre-trained-model, trocr, unilm, wavlm, xlm-e</sup></sub>
+### [txtai](https://github.com/neuml/txtai) by [neuml](https://github.com/neuml)  
+txtai: 💡 Build AI-powered semantic search applications   
+[https://neuml.github.io/txtai](https://neuml.github.io/txtai)  
+[https://github.com/neuml/txtai](https://github.com/neuml/txtai)  
+26 stars per week over 134 weeks  
+3,515 stars, 303 forks, 62 watches  
+created 2020-08-09, last commit 2023-03-03, main language Python  
+<sub><sup>api, audio-search, cloud-native, contextual-search, deep-learning, document-search, image-search, machine-learning, machine-learning-pipelines, machine-learning-workflows, microservice, neural-search, nlp, python, search, semantic-search, similarity-search, txtai, vector-search, video-search</sup></sub>
 
 
-### [doccano](https://github.com/doccano/doccano)  
-doccano: Open source annotation tool for machine learning practitioners.  
-[https://doccano.herokuapp.com](https://doccano.herokuapp.com)  
-[https://github.com/doccano/doccano](https://github.com/doccano/doccano)  
-29 stars per week over 239 weeks  
-7,013 stars, 1,445 forks, 121 watches  
-created 2018-05-09, last commit 2022-12-06, main language Python  
-<sub><sup>annotation-tool, data-labeling, dataset, datasets, machine-learning, natural-language-processing, nuxt, nuxtjs, python, text-annotation, vue, vuejs</sup></sub>
+### [argilla](https://github.com/recognai/rubrix) by [recognai](https://github.com/recognai)  
+argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.  
+[https://docs.argilla.io](https://docs.argilla.io)  
+[https://github.com/recognai/rubrix](https://github.com/recognai/rubrix)  
+17 stars per week over 96 weeks  
+1,668 stars, 155 forks, 19 watches  
+created 2021-04-28, last commit 2023-03-03, main language Python  
+<sub><sup>active-learning, annotation-tool, artificial-intelligence, data-science, dataops, developer-tools, hacktoberfest, human-in-the-loop, knowledge-graph, machine-learning, mlops, natural-language-processing, nlp, python, spacy, text-annotation, text-classification, text-labeling, weak-supervision, weakly-supervised-learning</sup></sub>
 
 
-### [gpt-neo](https://github.com/eleutherai/gpt-neo) by [eleutherai](https://github.com/eleutherai)  
-gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.  
-[https://www.eleuther.ai](https://www.eleuther.ai)  
-[https://github.com/eleutherai/gpt-neo](https://github.com/eleutherai/gpt-neo)  
-52 stars per week over 126 weeks  
-6,582 stars, 579 forks, 159 watches  
-created 2020-07-05, last commit 2022-02-25, main language Python  
-<sub><sup>gpt, gpt-2, gpt-3, language-model, transformers</sup></sub>
+### [allennlp](https://github.com/allenai/allennlp) by [allenai](https://github.com/allenai)  
+allennlp: An open-source NLP research library, built on PyTorch.  
+[http://www.allennlp.org](http://www.allennlp.org)  
+[https://github.com/allenai/allennlp](https://github.com/allenai/allennlp)  
+37 stars per week over 302 weeks  
+11,413 stars, 2,242 forks, 281 watches  
+created 2017-05-15, last commit 2022-11-22, main language Python  
+<sub><sup>data-science, deep-learning, natural-language-processing, nlp, python, pytorch</sup></sub>
 
 
-### [espnet](https://github.com/espnet/espnet)  
-espnet: End-to-End Speech Processing Toolkit  
-[https://espnet.github.io/espnet/](https://espnet.github.io/espnet/)  
-[https://github.com/espnet/espnet](https://github.com/espnet/espnet)  
-22 stars per week over 260 weeks  
-5,797 stars, 1,779 forks, 183 watches  
-created 2017-12-13, last commit 2022-12-06, main language Python  
-<sub><sup>chainer, deep-learning, end-to-end, kaldi, machine-translation, pytorch, singing-voice-synthesis, speaker-diarization, speech-enhancement, speech-recognition, speech-separation, speech-synthesis, speech-translation, spoken-language-understanding, voice-conversion</sup></sub>
+### [minGPT](https://github.com/karpathy/mingpt) by [karpathy](https://github.com/karpathy)  
+minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training  
+[https://github.com/karpathy/mingpt](https://github.com/karpathy/mingpt)  
+100 stars per week over 132 weeks  
+13,298 stars, 1,514 forks, 229 watches  
+created 2020-08-17, last commit 2023-01-08, main language Python  
 
 
-### [NeMo](https://github.com/nvidia/nemo) by [nvidia](https://github.com/nvidia)  
-NeMo: a toolkit for conversational AI  
-[https://nvidia.github.io/NeMo/](https://nvidia.github.io/NeMo/)  
-[https://github.com/nvidia/nemo](https://github.com/nvidia/nemo)  
-29 stars per week over 174 weeks  
-5,145 stars, 1,284 forks, 137 watches  
-created 2019-08-05, last commit 2022-12-07, main language Python  
-<sub><sup>asr, deep-learning, language-model, machine-translation, neural-network, nlp, nlp-machine-learning, nmt, speaker-diarization, speaker-recognition, speech-recognition, speech-synthesis, speech-to-text, text-normalization, text-to-speech, tts</sup></sub>
+### [cramming](https://github.com/jonasgeiping/cramming) by [jonasgeiping](https://github.com/jonasgeiping)  
+Cramming the training of a (BERT-type) language model into limited compute.  
+[https://github.com/jonasgeiping/cramming](https://github.com/jonasgeiping/cramming)  
+101 stars per week over 9 weeks  
+953 stars, 61 forks, 20 watches  
+created 2022-12-29, last commit 2023-02-19, main language Python  
+<sub><sup>english-language, language-model, machine-learning</sup></sub>
 
 
-### [speechbrain](https://github.com/speechbrain/speechbrain)  
-speechbrain: A PyTorch-based Speech Toolkit  
-[http://speechbrain.github.io](http://speechbrain.github.io)  
-[https://github.com/speechbrain/speechbrain](https://github.com/speechbrain/speechbrain)  
-36 stars per week over 136 weeks  
-4,960 stars, 957 forks, 109 watches  
-created 2020-04-28, last commit 2022-12-04, main language Python  
-<sub><sup>asr, audio, audio-processing, deep-learning, huggingface, language-model, pytorch, speaker-diarization, speaker-recognition, speaker-verification, speech-enhancement, speech-processing, speech-recognition, speech-separation, speech-to-text, speech-toolkit, speechrecognition, spoken-language-understanding, transformers, voice-recognition</sup></sub>
+### [EasyNLP](https://github.com/alibaba/easynlp) by [alibaba](https://github.com/alibaba)  
+EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit  
+[https://github.com/alibaba/easynlp](https://github.com/alibaba/easynlp)  
+30 stars per week over 47 weeks  
+1,460 stars, 185 forks, 31 watches  
+created 2022-04-06, last commit 2023-02-26, main language Python  
+<sub><sup>bert, deep-learning, fewshot-learning, knowledge-distillation, knowledge-pretraining, machine-learning, nlp, pretrained-models, pytorch, text-classification, text-image-retrieval, text-to-image-synthesis, transfer-learning, transformers</sup></sub>
 
 
-### [textgenrnn](https://github.com/minimaxir/textgenrnn) by [minimaxir](https://github.com/minimaxir)  
-textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.  
-[https://github.com/minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)  
-17 stars per week over 278 weeks  
-4,817 stars, 752 forks, 138 watches  
-created 2017-08-07, last commit 2020-07-14, main language Python  
-<sub><sup>deep-learning, keras, python, tensorflow, text-generation</sup></sub>
+### [ChatterBot](https://github.com/gunthercox/chatterbot) by [gunthercox](https://github.com/gunthercox)  
+ChatterBot is a machine learning, conversational dialog engine for creating chat bots  
+[https://chatterbot.readthedocs.io](https://chatterbot.readthedocs.io)  
+[https://github.com/gunthercox/chatterbot](https://github.com/gunthercox/chatterbot)  
+29 stars per week over 440 weeks  
+12,973 stars, 4,247 forks, 551 watches  
+created 2014-09-28, last commit 2021-06-01, main language Python  
+<sub><sup>bot, chatbot, chatterbot, conversation, language, machine-learning, python</sup></sub>
 
 
 ### [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) by [kingoflolz](https://github.com/kingoflolz)  
 mesh-transformer-jax: Model parallel transformers in JAX and Haiku  
 [https://github.com/kingoflolz/mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax)  
-51 stars per week over 90 weeks  
-4,626 stars, 651 forks, 74 watches  
-created 2021-03-13, last commit 2022-01-28, main language Python  
+52 stars per week over 103 weeks  
+5,398 stars, 773 forks, 92 watches  
+created 2021-03-13, last commit 2023-01-12, main language Python  
 
 
-### [DrQA](https://github.com/facebookresearch/drqa) by [facebookresearch](https://github.com/facebookresearch)  
-DrQA: Reading Wikipedia to Answer Open-Domain Questions  
-[https://github.com/facebookresearch/drqa](https://github.com/facebookresearch/drqa)  
-15 stars per week over 282 weeks  
-4,313 stars, 899 forks, 165 watches  
-created 2017-07-07, last commit 2021-05-18, main language Python  
+### [lightseq](https://github.com/bytedance/lightseq) by [bytedance](https://github.com/bytedance)  
+LightSeq: A High Performance Library for Sequence Processing and Generation  
+[https://github.com/bytedance/lightseq](https://github.com/bytedance/lightseq)  
+15 stars per week over 169 weeks  
+2,602 stars, 297 forks, 53 watches  
+created 2019-12-06, last commit 2023-03-03, main language C++  
+<sub><sup>accelerate, bart, beam-search, bert, cuda, diverse-decoding, gpt, inference, multilingual-nmt, sampling, training, transformer</sup></sub>
 
 
-### [nlpaug](https://github.com/makcedward/nlpaug) by [makcedward](https://github.com/makcedward)  
-nlpaug: Data augmentation for NLP   
-[https://makcedward.github.io/](https://makcedward.github.io/)  
-[https://github.com/makcedward/nlpaug](https://github.com/makcedward/nlpaug)  
-18 stars per week over 193 weeks  
-3,672 stars, 419 forks, 38 watches  
-created 2019-03-21, last commit 2022-07-07, main language Jupyter Notebook  
-<sub><sup>adversarial-attacks, adversarial-example, ai, artificial-intelligence, augmentation, data-science, machine-learning, ml, natural-language-processing, nlp</sup></sub>
+### [gpt-2](https://github.com/openai/gpt-2) by [openai](https://github.com/openai)  
+gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"  
+[https://openai.com/blog/better-language-models/](https://openai.com/blog/better-language-models/)  
+[https://github.com/openai/gpt-2](https://github.com/openai/gpt-2)  
+82 stars per week over 211 weeks  
+17,453 stars, 4,391 forks, 601 watches  
+created 2019-02-11, last commit 2020-12-02, main language Python  
+<sub><sup>paper</sup></sub>
 
 
-### [BERTopic](https://github.com/maartengr/bertopic) by [maartengr](https://github.com/maartengr)  
-BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics.   
-[https://maartengr.github.io/BERTopic/](https://maartengr.github.io/BERTopic/)  
-[https://github.com/maartengr/bertopic](https://github.com/maartengr/bertopic)  
-29 stars per week over 115 weeks  
-3,431 stars, 448 forks, 46 watches  
-created 2020-09-22, last commit 2022-12-06, main language Python  
-<sub><sup>bert, ldavis, machine-learning, nlp, sentence-embeddings, topic, topic-modeling, topic-modelling, topic-models, transformers</sup></sub>
+### [featureform](https://github.com/featureform/embeddinghub)  
+featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.  
+[https://www.featureform.com](https://www.featureform.com)  
+[https://github.com/featureform/embeddinghub](https://github.com/featureform/embeddinghub)  
+9.77 stars per week over 124 weeks  
+1,214 stars, 46 forks, 13 watches  
+created 2020-10-16, last commit 2023-03-04, main language Go  
+<sub><sup>data-quality, data-science, embeddings, embeddings-similarity, feature-engineering, feature-store, hacktoberfest, machine-learning, ml, mlops, python, vector-database</sup></sub>
+
+
+### [deepsparse](https://github.com/neuralmagic/deepsparse) by [neuralmagic](https://github.com/neuralmagic)  
+deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application  
+[https://github.com/neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse)  
+11 stars per week over 115 weeks  
+1,297 stars, 81 forks, 40 watches  
+created 2020-12-14, last commit 2023-03-02, main language Python  
+<sub><sup>auto-ml, computer-vision, cpu-inference-api, cpus, deepsparse-engine, inference, machinelearning, ml, nlp, object-detection, onnx, pretrained-models, pruning, pytorch, quantization, sparsification, sparsification-recipe, sparsified-models, tensorflow, yolov3</sup></sub>
+
+
+### [CodeGen](https://github.com/salesforce/codegen) by [salesforce](https://github.com/salesforce)  
+CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.  
+[https://github.com/salesforce/codegen](https://github.com/salesforce/codegen)  
+47 stars per week over 48 weeks  
+2,316 stars, 176 forks, 43 watches  
+created 2022-03-28, last commit 2022-12-01, main language Python  
+<sub><sup>codex, generativemodel, languagemodel, llm, programsynthesis, tpu-acceleration</sup></sub>
+
+
+### [spacy-transformers](https://github.com/explosion/spacy-transformers) by [explosion](https://github.com/explosion)  
+spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy  
+[https://spacy.io/usage/embeddings-transformers](https://spacy.io/usage/embeddings-transformers)  
+[https://github.com/explosion/spacy-transformers](https://github.com/explosion/spacy-transformers)  
+6.45 stars per week over 188 weeks  
+1,214 stars, 156 forks, 30 watches  
+created 2019-07-26, last commit 2023-03-03, main language Python  
+<sub><sup>bert, google, gpt-2, huggingface, language-model, machine-learning, natural-language-processing, natural-language-understanding, nlp, openai, pytorch, pytorch-model, spacy, spacy-extension, spacy-pipeline, transfer-learning, xlnet</sup></sub>
 
 
 ### [layout-parser](https://github.com/layout-parser/layout-parser)  
 layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis  
 [https://layout-parser.github.io/](https://layout-parser.github.io/)  
 [https://github.com/layout-parser/layout-parser](https://github.com/layout-parser/layout-parser)  
-25 stars per week over 130 weeks  
-3,324 stars, 331 forks, 57 watches  
+24 stars per week over 142 weeks  
+3,499 stars, 350 forks, 60 watches  
 created 2020-06-10, last commit 2022-08-06, main language Python  
 <sub><sup>computer-vision, deep-learning, detectron2, document-image-processing, document-layout-analysis, layout-analysis, layout-detection, layout-parser, object-detection, ocr</sup></sub>
 
 
-### [gpt-2-simple](https://github.com/minimaxir/gpt-2-simple) by [minimaxir](https://github.com/minimaxir)  
-gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts  
-[https://github.com/minimaxir/gpt-2-simple](https://github.com/minimaxir/gpt-2-simple)  
-16 stars per week over 190 weeks  
-3,061 stars, 631 forks, 74 watches  
-created 2019-04-13, last commit 2022-05-22, main language Python  
-<sub><sup>openai, tensorflow, text-generation, textgenrnn</sup></sub>
-
-
-### [txtai](https://github.com/neuml/txtai) by [neuml](https://github.com/neuml)  
-txtai: 💡 Build AI-powered semantic search applications   
-[https://neuml.github.io/txtai](https://neuml.github.io/txtai)  
-[https://github.com/neuml/txtai](https://github.com/neuml/txtai)  
-24 stars per week over 121 weeks  
-3,029 stars, 270 forks, 54 watches  
-created 2020-08-09, last commit 2022-12-03, main language Python  
-<sub><sup>api, audio-search, cloud-native, contextual-search, deep-learning, document-search, image-search, machine-learning, machine-learning-pipelines, machine-learning-workflows, microservice, neural-search, nlp, python, search, semantic-search, similarity-search, txtai, vector-search, video-search</sup></sub>
-
-
-### [textdistance](https://github.com/life4/textdistance) by [life4](https://github.com/life4)  
-textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.  
-[https://github.com/life4/textdistance](https://github.com/life4/textdistance)  
-10 stars per week over 291 weeks  
-3,004 stars, 240 forks, 61 watches  
-created 2017-05-05, last commit 2022-09-18, main language Python  
-<sub><sup>algorithm, algorithms, damerau-levenshtein, damerau-levenshtein-distance, diff, distance, distance-calculation, hamming-distance, jellyfish, levenshtein, levenshtein-distance, python, textdistance</sup></sub>
+### [gpt-neo](https://github.com/eleutherai/gpt-neo) by [eleutherai](https://github.com/eleutherai)  
+gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.  
+[https://www.eleuther.ai](https://www.eleuther.ai)  
+[https://github.com/eleutherai/gpt-neo](https://github.com/eleutherai/gpt-neo)  
+51 stars per week over 139 weeks  
+7,211 stars, 723 forks, 170 watches  
+created 2020-07-05, last commit 2022-02-25, main language Python  
+<sub><sup>gpt, gpt-2, gpt-3, language-model, transformers</sup></sub>
 
 
 ### [texthero](https://github.com/jbesomi/texthero) by [jbesomi](https://github.com/jbesomi)  
 texthero: Text preprocessing, representation and visualization from zero to hero.  
 [https://texthero.org](https://texthero.org)  
 [https://github.com/jbesomi/texthero](https://github.com/jbesomi/texthero)  
-18 stars per week over 139 weeks  
-2,635 stars, 222 forks, 44 watches  
+17 stars per week over 151 weeks  
+2,709 stars, 229 forks, 43 watches  
 created 2020-04-06, last commit 2022-10-28, main language Python  
 <sub><sup>machine-learning, nlp, nlp-pipeline, text-clustering, text-mining, text-preprocessing, text-representation, text-visualization, texthero, word-embeddings</sup></sub>
 
 
-### [neuralcoref](https://github.com/huggingface/neuralcoref) by [huggingface](https://github.com/huggingface)  
-neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks  
-[https://huggingface.co/coref/](https://huggingface.co/coref/)  
-[https://github.com/huggingface/neuralcoref](https://github.com/huggingface/neuralcoref)  
-9.27 stars per week over 283 weeks  
-2,627 stars, 460 forks, 94 watches  
-created 2017-07-03, last commit 2021-06-22, main language C  
-<sub><sup>coreference, coreference-resolution, machine-learning, neural-networks, nlp, python, pytorch, spacy, spacy-extension, spacy-pipeline</sup></sub>
-
-
-### [Pretrained-Language-Model](https://github.com/huawei-noah/pretrained-language-model) by [huawei-noah](https://github.com/huawei-noah)  
-Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.  
-[https://github.com/huawei-noah/pretrained-language-model](https://github.com/huawei-noah/pretrained-language-model)  
-16 stars per week over 157 weeks  
-2,552 stars, 546 forks, 52 watches  
-created 2019-12-02, last commit 2022-11-21, main language Python  
-<sub><sup>knowledge-distillation, large-scale-distributed, model-compression, pretrained-models, quantization</sup></sub>
-
-
-### [lightseq](https://github.com/bytedance/lightseq) by [bytedance](https://github.com/bytedance)  
-LightSeq: A High Performance Library for Sequence Processing and Generation  
-[https://github.com/bytedance/lightseq](https://github.com/bytedance/lightseq)  
-15 stars per week over 156 weeks  
-2,504 stars, 277 forks, 51 watches  
-created 2019-12-06, last commit 2022-12-07, main language C++  
-<sub><sup>accelerate, bart, beam-search, bert, cuda, diverse-decoding, gpt, inference, multilingual-nmt, sampling, training, transformer</sup></sub>
-
-
-### [Top2Vec](https://github.com/ddangelov/top2vec) by [ddangelov](https://github.com/ddangelov)  
-Top2Vec learns jointly embedded topic, document and word vectors.  
-[https://github.com/ddangelov/top2vec](https://github.com/ddangelov/top2vec)  
-16 stars per week over 141 weeks  
-2,329 stars, 320 forks, 39 watches  
-created 2020-03-20, last commit 2022-04-03, main language Python  
-<sub><sup>bert, document-embedding, pre-trained-language-models, semantic-search, sentence-encoder, sentence-transformers, text-search, text-semantic-similarity, top2vec, topic-modeling, topic-modelling, topic-search, topic-vector, word-embeddings</sup></sub>
+### [gpt-2-simple](https://github.com/minimaxir/gpt-2-simple) by [minimaxir](https://github.com/minimaxir)  
+gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts  
+[https://github.com/minimaxir/gpt-2-simple](https://github.com/minimaxir/gpt-2-simple)  
+15 stars per week over 203 weeks  
+3,178 stars, 652 forks, 74 watches  
+created 2019-04-13, last commit 2022-05-22, main language Python  
+<sub><sup>openai, tensorflow, text-generation, textgenrnn</sup></sub>
 
 
-### [CodeGen](https://github.com/salesforce/codegen) by [salesforce](https://github.com/salesforce)  
-CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.  
-[https://github.com/salesforce/codegen](https://github.com/salesforce/codegen)  
-49 stars per week over 36 weeks  
-1,805 stars, 133 forks, 35 watches  
-created 2022-03-28, last commit 2022-12-01, main language Python  
-<sub><sup>codex, generativemodel, languagemodel, llm, programsynthesis, tpu-acceleration</sup></sub>
+### [TextBlob](https://github.com/sloria/textblob) by [sloria](https://github.com/sloria)  
+TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.  
+[https://textblob.readthedocs.io/](https://textblob.readthedocs.io/)  
+[https://github.com/sloria/textblob](https://github.com/sloria/textblob)  
+16 stars per week over 505 weeks  
+8,454 stars, 1,114 forks, 269 watches  
+created 2013-06-30, last commit 2021-10-22, main language Python  
+<sub><sup>natural-language-processing, nlp, nltk, pattern, python, python-2, python-3</sup></sub>
 
 
-### [jellyfish](https://github.com/jamesturk/jellyfish) by [jamesturk](https://github.com/jamesturk)  
-jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.  
-[https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)  
-[https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)  
-2.72 stars per week over 647 weeks  
-1,759 stars, 148 forks, 43 watches  
-created 2010-07-09, last commit 2022-11-07, main language Python  
-<sub><sup>fuzzy-search, hacktoberfest, hamming, jaro-winkler, levenshtein, metaphone, python, soundex</sup></sub>
+### [nlpaug](https://github.com/makcedward/nlpaug) by [makcedward](https://github.com/makcedward)  
+nlpaug: Data augmentation for NLP   
+[https://makcedward.github.io/](https://makcedward.github.io/)  
+[https://github.com/makcedward/nlpaug](https://github.com/makcedward/nlpaug)  
+18 stars per week over 206 weeks  
+3,823 stars, 429 forks, 39 watches  
+created 2019-03-21, last commit 2022-07-07, main language Jupyter Notebook  
+<sub><sup>adversarial-attacks, adversarial-example, ai, artificial-intelligence, augmentation, data-science, machine-learning, ml, natural-language-processing, nlp</sup></sub>
 
 
-### [NeuroNER](https://github.com/franck-dernoncourt/neuroner) by [franck-dernoncourt](https://github.com/franck-dernoncourt)  
-NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.  
-[http://neuroner.com](http://neuroner.com)  
-[https://github.com/franck-dernoncourt/neuroner](https://github.com/franck-dernoncourt/neuroner)  
-5.45 stars per week over 300 weeks  
-1,637 stars, 482 forks, 84 watches  
-created 2017-03-07, last commit 2019-10-02, main language Python  
-<sub><sup>deep-learning, machine-learning, named-entity-recognition, neural-networks, nlp, tensorflow</sup></sub>
+### [Pretrained-Language-Model](https://github.com/huawei-noah/pretrained-language-model) by [huawei-noah](https://github.com/huawei-noah)  
+Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.  
+[https://github.com/huawei-noah/pretrained-language-model](https://github.com/huawei-noah/pretrained-language-model)  
+15 stars per week over 169 weeks  
+2,632 stars, 567 forks, 53 watches  
+created 2019-12-02, last commit 2022-12-25, main language Python  
+<sub><sup>knowledge-distillation, large-scale-distributed, model-compression, pretrained-models, quantization</sup></sub>
+
+
+### [fastRAG](https://github.com/intellabs/fastrag) by [intellabs](https://github.com/intellabs)  
+fastRAG: Efficient Retrieval Augmentation and Generation Framework  
+[https://github.com/intellabs/fastrag](https://github.com/intellabs/fastrag)  
+23 stars per week over 5 weeks  
+135 stars, 10 forks, 2 watches  
+created 2023-01-23, last commit 2023-03-01, main language Python  
+<sub><sup>benchmark, colbert, diffusion, information-retrieval, knowledge-graph, multi-modal, nlp, question-answering, semantic-search, sentence-transformers, summarization, transformers</sup></sub>
+
+
+### [textgenrnn](https://github.com/minimaxir/textgenrnn) by [minimaxir](https://github.com/minimaxir)  
+textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.  
+[https://github.com/minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)  
+16 stars per week over 290 weeks  
+4,867 stars, 751 forks, 138 watches  
+created 2017-08-07, last commit 2020-07-14, main language Python  
+<sub><sup>deep-learning, keras, python, tensorflow, text-generation</sup></sub>
 
 
 ### [FARM](https://github.com/deepset-ai/farm) by [deepset-ai](https://github.com/deepset-ai)  
 FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.  
 [https://farm.deepset.ai](https://farm.deepset.ai)  
 [https://github.com/deepset-ai/farm](https://github.com/deepset-ai/farm)  
-9.03 stars per week over 177 weeks  
-1,598 stars, 231 forks, 56 watches  
+8.61 stars per week over 189 weeks  
+1,632 stars, 233 forks, 54 watches  
 created 2019-07-17, last commit 2022-08-31, main language Python  
 <sub><sup>bert, deep-learning, germanbert, language-models, ner, nlp, nlp-framework, nlp-library, pretrained-models, pytorch, question-answering, roberta, transfer-learning, xlnet-pytorch</sup></sub>
 
 
+### [pattern](https://github.com/clips/pattern) by [clips](https://github.com/clips)  
+pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.  
+[https://github.com/clips/pattern/wiki](https://github.com/clips/pattern/wiki)  
+[https://github.com/clips/pattern](https://github.com/clips/pattern)  
+13 stars per week over 617 weeks  
+8,428 stars, 1,597 forks, 547 watches  
+created 2011-05-03, last commit 2020-04-25, main language Python  
+<sub><sup>machine-learning, natural-language-processing, network-analysis, python, sentiment-analysis, web-mining, wordnet</sup></sub>
+
+
+### [spacy-models](https://github.com/explosion/spacy-models) by [explosion](https://github.com/explosion)  
+spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library  
+[https://spacy.io](https://spacy.io)  
+[https://github.com/explosion/spacy-models](https://github.com/explosion/spacy-models)  
+4.04 stars per week over 311 weeks  
+1,259 stars, 283 forks, 49 watches  
+created 2017-03-14, last commit 2023-01-23, main language Python  
+<sub><sup>machine-learning, machine-learning-models, models, natural-language-processing, nlp, spacy, spacy-models, statistical-models</sup></sub>
+
+
 ### [aitextgen](https://github.com/minimaxir/aitextgen) by [minimaxir](https://github.com/minimaxir)  
 aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.  
 [https://docs.aitextgen.io](https://docs.aitextgen.io)  
 [https://github.com/minimaxir/aitextgen](https://github.com/minimaxir/aitextgen)  
-10 stars per week over 153 weeks  
-1,593 stars, 181 forks, 37 watches  
+10 stars per week over 166 weeks  
+1,697 stars, 194 forks, 37 watches  
 created 2019-12-29, last commit 2022-08-09, main language Python  
 
 
-### [magnitude](https://github.com/plasticityai/magnitude) by [plasticityai](https://github.com/plasticityai)  
-magnitude: A fast, efficient universal vector embedding utility package.  
-[https://github.com/plasticityai/magnitude](https://github.com/plasticityai/magnitude)  
-6.18 stars per week over 249 weeks  
-1,542 stars, 113 forks, 37 watches  
-created 2018-02-24, last commit 2020-07-17, main language Python  
-<sub><sup>embeddings, fast, fasttext, gensim, glove, machine-learning, machine-learning-library, memory-efficient, natural-language-processing, nlp, python, vectors, word-embeddings, word2vec</sup></sub>
-
-
-### [argilla](https://github.com/recognai/rubrix) by [recognai](https://github.com/recognai)  
-argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.  
-[https://docs.argilla.io](https://docs.argilla.io)  
-[https://github.com/recognai/rubrix](https://github.com/recognai/rubrix)  
-17 stars per week over 84 weeks  
-1,454 stars, 133 forks, 18 watches  
-created 2021-04-28, last commit 2022-11-30, main language Python  
-<sub><sup>active-learning, annotation-tool, artificial-intelligence, data-science, dataops, developer-tools, hacktoberfest, human-in-the-loop, knowledge-graph, machine-learning, mlops, natural-language-processing, nlp, python, spacy, text-annotation, text-classification, text-labeling, weak-supervision, weakly-supervised-learning</sup></sub>
-
-
-### [arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
-arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.  
-[https://www.arxiv-vanity.com](https://www.arxiv-vanity.com)  
-[https://github.com/arxiv-vanity/arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
-4.91 stars per week over 277 weeks  
-1,363 stars, 87 forks, 22 watches  
-created 2017-08-12, last commit 2022-01-18, main language Python  
-<sub><sup>academic-publishing, arxiv, latex, science</sup></sub>
-
-
-### [language](https://github.com/google-research/language) by [google-research](https://github.com/google-research)  
-language: Shared repository for open-sourced projects from the Google AI Language team.  
-[https://ai.google/research/teams/language/](https://ai.google/research/teams/language/)  
-[https://github.com/google-research/language](https://github.com/google-research/language)  
-6.17 stars per week over 216 weeks  
-1,333 stars, 311 forks, 64 watches  
-created 2018-10-16, last commit 2022-10-17, main language Python  
-<sub><sup>machine-learning, natural-language-processing, research</sup></sub>
+### [Top2Vec](https://github.com/ddangelov/top2vec) by [ddangelov](https://github.com/ddangelov)  
+Top2Vec learns jointly embedded topic, document and word vectors.  
+[https://github.com/ddangelov/top2vec](https://github.com/ddangelov/top2vec)  
+15 stars per week over 154 weeks  
+2,443 stars, 337 forks, 38 watches  
+created 2020-03-20, last commit 2023-01-26, main language Python  
+<sub><sup>bert, document-embedding, pre-trained-language-models, semantic-search, sentence-encoder, sentence-transformers, text-search, text-semantic-similarity, top2vec, topic-modeling, topic-modelling, topic-search, topic-vector, word-embeddings</sup></sub>
 
 
 ### [tika-python](https://github.com/chrismattmann/tika-python) by [chrismattmann](https://github.com/chrismattmann)  
 Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.  
 [https://github.com/chrismattmann/tika-python](https://github.com/chrismattmann/tika-python)  
-2.75 stars per week over 440 weeks  
-1,213 stars, 222 forks, 37 watches  
-created 2014-06-26, last commit 2021-06-07, main language Python  
+2.75 stars per week over 453 weeks  
+1,245 stars, 226 forks, 38 watches  
+created 2014-06-26, last commit 2023-01-22, main language Python  
 <sub><sup>buffer, covid-19, detection, extraction, memex, mime, nlp, nlp-library, nlp-machine-learning, parse, parser-interface, python, recognition, text-extraction, text-recognition, tika-python, tika-server, tika-server-jar, translation-interface, usc</sup></sub>
 
 
-### [spacy-models](https://github.com/explosion/spacy-models) by [explosion](https://github.com/explosion)  
-spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library  
-[https://spacy.io](https://spacy.io)  
-[https://github.com/explosion/spacy-models](https://github.com/explosion/spacy-models)  
-4.05 stars per week over 299 weeks  
-1,211 stars, 271 forks, 47 watches  
-created 2017-03-14, last commit 2022-11-30, main language Python  
-<sub><sup>machine-learning, machine-learning-models, models, natural-language-processing, nlp, spacy, spacy-models, statistical-models</sup></sub>
+### [python-dialogflow](https://github.com/dialogflow/dialogflow-python-client-v2) by [dialogflow](https://github.com/dialogflow)  
+python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.  
+[https://dialogflow.com/](https://dialogflow.com/)  
+[https://github.com/dialogflow/dialogflow-python-client-v2](https://github.com/dialogflow/dialogflow-python-client-v2)  
+1.38 stars per week over 279 weeks  
+387 stars, 145 forks, 53 watches  
+created 2017-10-24, last commit 2023-03-04, main language Python  
+<sub><sup>dialogflow, machine-learning, python</sup></sub>
 
 
-### [deepsparse](https://github.com/neuralmagic/deepsparse) by [neuralmagic](https://github.com/neuralmagic)  
-deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application  
-[https://github.com/neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse)  
-11 stars per week over 103 weeks  
-1,183 stars, 71 forks, 36 watches  
-created 2020-12-14, last commit 2022-12-01, main language Python  
-<sub><sup>auto-ml, computer-vision, cpu-inference-api, cpus, deepsparse-engine, inference, machinelearning, ml, nlp, object-detection, onnx, pretrained-models, pruning, pytorch, quantization, sparsification, sparsification-recipe, sparsified-models, tensorflow, yolov3</sup></sub>
+### [DrQA](https://github.com/facebookresearch/drqa) by [facebookresearch](https://github.com/facebookresearch)  
+DrQA: Reading Wikipedia to Answer Open-Domain Questions  
+[https://github.com/facebookresearch/drqa](https://github.com/facebookresearch/drqa)  
+14 stars per week over 295 weeks  
+4,349 stars, 903 forks, 165 watches  
+created 2017-07-07, last commit 2021-05-18, main language Python  
 
 
-### [spacy-transformers](https://github.com/explosion/spacy-transformers) by [explosion](https://github.com/explosion)  
-spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy  
-[https://spacy.io/usage/embeddings-transformers](https://spacy.io/usage/embeddings-transformers)  
-[https://github.com/explosion/spacy-transformers](https://github.com/explosion/spacy-transformers)  
-6.7 stars per week over 175 weeks  
-1,177 stars, 152 forks, 30 watches  
-created 2019-07-26, last commit 2022-11-17, main language Python  
-<sub><sup>bert, google, gpt-2, huggingface, language-model, machine-learning, natural-language-processing, natural-language-understanding, nlp, openai, pytorch, pytorch-model, spacy, spacy-extension, spacy-pipeline, transfer-learning, xlnet</sup></sub>
+### [spacy-streamlit](https://github.com/explosion/spacy-streamlit) by [explosion](https://github.com/explosion)  
+spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps  
+[https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py](https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py)  
+[https://github.com/explosion/spacy-streamlit](https://github.com/explosion/spacy-streamlit)  
+4.51 stars per week over 140 weeks  
+635 stars, 103 forks, 17 watches  
+created 2020-06-23, last commit 2023-02-27, main language Python  
+<sub><sup>dependency-parsing, machine-learning, named-entity-recognition, natural-language-processing, ner, nlp, part-of-speech-tagging, spacy, streamlit, text-classification, tokenization, visualizer, visualizers, word-vectors</sup></sub>
 
 
-### [featureform](https://github.com/featureform/embeddinghub)  
-featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.  
-[https://www.featureform.com](https://www.featureform.com)  
-[https://github.com/featureform/embeddinghub](https://github.com/featureform/embeddinghub)  
-10 stars per week over 111 weeks  
-1,150 stars, 42 forks, 12 watches  
-created 2020-10-16, last commit 2022-12-07, main language Go  
-<sub><sup>data-quality, data-science, embeddings, embeddings-similarity, feature-engineering, feature-store, hacktoberfest, machine-learning, ml, mlops, python, vector-database</sup></sub>
+### [neuralcoref](https://github.com/huggingface/neuralcoref) by [huggingface](https://github.com/huggingface)  
+neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks  
+[https://huggingface.co/coref/](https://huggingface.co/coref/)  
+[https://github.com/huggingface/neuralcoref](https://github.com/huggingface/neuralcoref)  
+8.97 stars per week over 295 weeks  
+2,653 stars, 460 forks, 97 watches  
+created 2017-07-03, last commit 2021-06-22, main language C  
+<sub><sup>coreference, coreference-resolution, machine-learning, neural-networks, nlp, python, pytorch, spacy, spacy-extension, spacy-pipeline</sup></sub>
 
 
-### [textstat](https://github.com/shivam5992/textstat) by [shivam5992](https://github.com/shivam5992)  
-textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.  
-[https://textstat.org](https://textstat.org)  
-[https://github.com/shivam5992/textstat](https://github.com/shivam5992/textstat)  
-2.01 stars per week over 442 weeks  
-889 stars, 145 forks, 17 watches  
-created 2014-06-18, last commit 2022-07-08, main language Python  
-<sub><sup>flesch-kincaid-grade, flesch-reading-ease, python, readability, smog, textstat</sup></sub>
+### [textdistance](https://github.com/life4/textdistance) by [life4](https://github.com/life4)  
+textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.  
+[https://github.com/life4/textdistance](https://github.com/life4/textdistance)  
+10 stars per week over 304 weeks  
+3,064 stars, 241 forks, 61 watches  
+created 2017-05-05, last commit 2022-09-18, main language Python  
+<sub><sup>algorithm, algorithms, damerau-levenshtein, damerau-levenshtein-distance, diff, distance, distance-calculation, hamming-distance, jellyfish, levenshtein, levenshtein-distance, python, textdistance</sup></sub>
+
+
+### [jellyfish](https://github.com/jamesturk/jellyfish) by [jamesturk](https://github.com/jamesturk)  
+jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.  
+[https://jamesturk.github.io/jellyfish/](https://jamesturk.github.io/jellyfish/)  
+[https://github.com/jamesturk/jellyfish](https://github.com/jamesturk/jellyfish)  
+2.72 stars per week over 660 weeks  
+1,799 stars, 152 forks, 42 watches  
+created 2010-07-09, last commit 2023-02-03, main language Python  
+<sub><sup>fuzzy-search, hacktoberfest, hamming, jaro-winkler, levenshtein, metaphone, python, soundex</sup></sub>
 
 
 ### [skweak](https://github.com/norskregnesentral/skweak) by [norskregnesentral](https://github.com/norskregnesentral)  
 skweak: A software toolkit for weak supervision applied to NLP tasks  
 [https://github.com/norskregnesentral/skweak](https://github.com/norskregnesentral/skweak)  
-9.37 stars per week over 90 weeks  
-845 stars, 67 forks, 27 watches  
+8.42 stars per week over 102 weeks  
+865 stars, 70 forks, 27 watches  
 created 2021-03-16, last commit 2022-11-08, main language Python  
 <sub><sup>data-science, distant-supervision, natural-language-processing, nlp-library, nlp-machine-learning, python, spacy, training-data, weak-supervision</sup></sub>
 
 
-### [setfit](https://github.com/huggingface/setfit) by [huggingface](https://github.com/huggingface)  
-setfit: Efficient few-shot learning with Sentence Transformers  
-[https://github.com/huggingface/setfit](https://github.com/huggingface/setfit)  
-34 stars per week over 22 weeks  
-796 stars, 68 forks, 13 watches  
-created 2022-06-30, last commit 2022-12-07, main language Python  
-<sub><sup>few-shot-learning, nlp, sentence-transformers</sup></sub>
+### [language](https://github.com/google-research/language) by [google-research](https://github.com/google-research)  
+language: Shared repository for open-sourced projects from the Google AI Language team.  
+[https://ai.google/research/teams/language/](https://ai.google/research/teams/language/)  
+[https://github.com/google-research/language](https://github.com/google-research/language)  
+5.99 stars per week over 228 weeks  
+1,371 stars, 323 forks, 64 watches  
+created 2018-10-16, last commit 2023-02-23, main language Python  
+<sub><sup>machine-learning, natural-language-processing, research</sup></sub>
+
+
+### [medical-chatgpt](https://github.com/lucidrains/medical-chatgpt) by [lucidrains](https://github.com/lucidrains)  
+medical-chatgpt: Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis  
+[https://github.com/lucidrains/medical-chatgpt](https://github.com/lucidrains/medical-chatgpt)  
+19 stars per week over 12 weeks  
+239 stars, 20 forks, 26 watches  
+created 2022-12-10, last commit 2023-02-27, main language Python  
+<sub><sup>artificial-intelligence, attention-mechanisms, deep-learning, medicine, transformers</sup></sub>
+
+
+### [P-tuning-v2](https://github.com/thudm/p-tuning-v2) by [thudm](https://github.com/thudm)  
+P-tuning-v2: An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks  
+[https://github.com/thudm/p-tuning-v2](https://github.com/thudm/p-tuning-v2)  
+8.21 stars per week over 72 weeks  
+595 stars, 72 forks, 26 watches  
+created 2021-10-14, last commit 2022-11-04, main language Python  
+<sub><sup>natural-language-processing, p-tuning, parameter-efficient-learning, pretrained-language-model, prompt-tuning</sup></sub>
+
+
+### [lambeq](https://github.com/cqcl/lambeq) by [cqcl](https://github.com/cqcl)  
+lambeq: A high-level Python library for Quantum Natural Language Processing  
+[https://cqcl.github.io/lambeq/](https://cqcl.github.io/lambeq/)  
+[https://github.com/cqcl/lambeq](https://github.com/cqcl/lambeq)  
+4.42 stars per week over 73 weeks  
+323 stars, 71 forks, 25 watches  
+created 2021-10-10, last commit 2023-01-09, main language Python  
+<sub><sup>python, qnlp</sup></sub>
 
 
 ### [spacy-stanza](https://github.com/explosion/spacy-stanza) by [explosion](https://github.com/explosion)  
 spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy  
 [https://github.com/explosion/spacy-stanza](https://github.com/explosion/spacy-stanza)  
-3.29 stars per week over 200 weeks  
-661 stars, 50 forks, 25 watches  
+3.15 stars per week over 213 weeks  
+672 stars, 50 forks, 25 watches  
 created 2019-01-31, last commit 2022-05-27, main language Python  
 <sub><sup>corenlp, data-science, machine-learning, natural-language-processing, nlp, spacy, spacy-pipeline, stanford-corenlp, stanford-machine-learning, stanford-nlp, stanza</sup></sub>
 
 
-### [spacy-streamlit](https://github.com/explosion/spacy-streamlit) by [explosion](https://github.com/explosion)  
-spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps  
-[https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py](https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py)  
-[https://github.com/explosion/spacy-streamlit](https://github.com/explosion/spacy-streamlit)  
-4.72 stars per week over 128 weeks  
-605 stars, 102 forks, 17 watches  
-created 2020-06-23, last commit 2022-08-23, main language Python  
-<sub><sup>dependency-parsing, machine-learning, named-entity-recognition, natural-language-processing, ner, nlp, part-of-speech-tagging, spacy, streamlit, text-classification, tokenization, visualizer, visualizers, word-vectors</sup></sub>
-
-
-### [Blackstone](https://github.com/iclrandd/blackstone) by [iclrandd](https://github.com/iclrandd)  
-Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.  
-[https://research.iclr.co.uk](https://research.iclr.co.uk)  
-[https://github.com/iclrandd/blackstone](https://github.com/iclrandd/blackstone)  
-2.96 stars per week over 193 weeks  
-573 stars, 93 forks, 37 watches  
-created 2019-03-25, last commit 2021-01-31, main language Python  
-<sub><sup>caselaw, law, legaltech, nlp, spacy-models</sup></sub>
-
-
-### [lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp) by [lexpredict](https://github.com/lexpredict)  
-lexpredict-lexnlp: LexNLP by LexPredict  
-[https://github.com/lexpredict/lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp)  
-2.05 stars per week over 270 weeks  
-556 stars, 153 forks, 49 watches  
-created 2017-09-30, last commit 2022-08-10, main language HTML  
-<sub><sup>analytics, contracts, data, law, legal, legaltech, linguistics, ml, nlp</sup></sub>
+### [Styleformer](https://github.com/prithivirajdamodaran/styleformer) by [prithivirajdamodaran](https://github.com/prithivirajdamodaran)  
+Styleformer: A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.  
+[https://github.com/prithivirajdamodaran/styleformer](https://github.com/prithivirajdamodaran/styleformer)  
+4.9 stars per week over 90 weeks  
+442 stars, 59 forks, 18 watches  
+created 2021-06-12, last commit 2022-12-27, main language Python  
+<sub><sup>active, formal-languages, informal-sentences, nlp, passive, slang, style-transfer, text-style, text-style-transfer, text-style-transfer-benchmark</sup></sub>
 
 
 ### [CodeT5](https://github.com/salesforce/codet5) by [salesforce](https://github.com/salesforce)  
 Code for CodeT5: a new code-aware pre-trained encoder-decoder model.  
 [https://arxiv.org/abs/2109.00859](https://arxiv.org/abs/2109.00859)  
 [https://github.com/salesforce/codet5](https://github.com/salesforce/codet5)  
-7.82 stars per week over 68 weeks  
-534 stars, 103 forks, 17 watches  
+8.19 stars per week over 80 weeks  
+662 stars, 124 forks, 22 watches  
 created 2021-08-16, last commit 2022-07-08, main language Python  
 <sub><sup>code-intelligence, language-model, nlp, programming-language, representation-learning</sup></sub>
 
 
-### [pySBD](https://github.com/nipunsadvilkar/pysbd) by [nipunsadvilkar](https://github.com/nipunsadvilkar)  
-pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.  
-[https://github.com/nipunsadvilkar/pysbd](https://github.com/nipunsadvilkar/pysbd)  
-1.81 stars per week over 286 weeks  
-519 stars, 63 forks, 10 watches  
-created 2017-06-11, last commit 2021-02-11, main language Python  
-<sub><sup>python, rule-based, segmentation, sentence, sentence-boundary-detection, sentence-tokenizer</sup></sub>
+### [arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
+arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.  
+[https://www.arxiv-vanity.com](https://www.arxiv-vanity.com)  
+[https://github.com/arxiv-vanity/arxiv-vanity](https://github.com/arxiv-vanity/arxiv-vanity)  
+4.78 stars per week over 290 weeks  
+1,386 stars, 89 forks, 22 watches  
+created 2017-08-12, last commit 2022-01-18, main language Python  
+<sub><sup>academic-publishing, arxiv, latex, science</sup></sub>
+
+
+### [sgpt](https://github.com/muennighoff/sgpt) by [muennighoff](https://github.com/muennighoff)  
+SGPT: GPT Sentence Embeddings for Semantic Search  
+[https://github.com/muennighoff/sgpt](https://github.com/muennighoff/sgpt)  
+4.78 stars per week over 55 weeks  
+264 stars, 27 forks, 6 watches  
+created 2022-02-11, last commit 2022-09-12, main language Jupyter Notebook  
+<sub><sup>gpt, information-retrieval, language-model, large-language-models, neural-search, retrieval, semantic-search, sentence-embeddings, sgpt, text-embedding</sup></sub>
+
+
+### [transition-amr-parser](https://github.com/ibm/transition-amr-parser) by [ibm](https://github.com/ibm)  
+transition-amr-parser: SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.  
+[https://github.com/ibm/transition-amr-parser](https://github.com/ibm/transition-amr-parser)  
+0.98 stars per week over 177 weeks  
+174 stars, 40 forks, 9 watches  
+created 2019-10-08, last commit 2023-02-01, main language Python  
+<sub><sup>abstract-meaning-representation, amr, amr-graphs, amr-parser, amr-parsing, machine-learning, nlp, semantic-parsing</sup></sub>
 
 
 ### [whatlies](https://github.com/koaning/whatlies) by [koaning](https://github.com/koaning)  
 whatlies: Toolkit to help understand "what lies" in word embeddings. Also benchmarking!   
 [https://koaning.github.io/whatlies/](https://koaning.github.io/whatlies/)  
 [https://github.com/koaning/whatlies](https://github.com/koaning/whatlies)  
-2.99 stars per week over 145 weeks  
-435 stars, 49 forks, 13 watches  
-created 2020-02-22, last commit 2022-07-28, main language Python  
+2.86 stars per week over 158 weeks  
+452 stars, 50 forks, 14 watches  
+created 2020-02-22, last commit 2023-02-06, main language Python  
 <sub><sup>embeddings, nlp, visualisations</sup></sub>
 
 
-### [byt5](https://github.com/google-research/byt5) by [google-research](https://github.com/google-research)  
-google-research/byt5  
-[https://github.com/google-research/byt5](https://github.com/google-research/byt5)  
-5.04 stars per week over 80 weeks  
-403 stars, 25 forks, 11 watches  
-created 2021-05-26, last commit 2022-03-02, main language Python  
+### [textstat](https://github.com/shivam5992/textstat) by [shivam5992](https://github.com/shivam5992)  
+textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.  
+[https://textstat.org](https://textstat.org)  
+[https://github.com/shivam5992/textstat](https://github.com/shivam5992/textstat)  
+2.03 stars per week over 454 weeks  
+924 stars, 148 forks, 17 watches  
+created 2014-06-18, last commit 2022-07-08, main language Python  
+<sub><sup>flesch-kincaid-grade, flesch-reading-ease, python, readability, smog, textstat</sup></sub>
+
+
+### [NeuroNER](https://github.com/franck-dernoncourt/neuroner) by [franck-dernoncourt](https://github.com/franck-dernoncourt)  
+NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.  
+[http://neuroner.com](http://neuroner.com)  
+[https://github.com/franck-dernoncourt/neuroner](https://github.com/franck-dernoncourt/neuroner)  
+5.26 stars per week over 312 weeks  
+1,646 stars, 485 forks, 84 watches  
+created 2017-03-07, last commit 2019-10-02, main language Python  
+<sub><sup>deep-learning, machine-learning, named-entity-recognition, neural-networks, nlp, tensorflow</sup></sub>
+
+
+### [magnitude](https://github.com/plasticityai/magnitude) by [plasticityai](https://github.com/plasticityai)  
+magnitude: A fast, efficient universal vector embedding utility package.  
+[https://github.com/plasticityai/magnitude](https://github.com/plasticityai/magnitude)  
+5.95 stars per week over 262 weeks  
+1,560 stars, 113 forks, 37 watches  
+created 2018-02-24, last commit 2020-07-17, main language Python  
+<sub><sup>embeddings, fast, fasttext, gensim, glove, machine-learning, machine-learning-library, memory-efficient, natural-language-processing, nlp, python, vectors, word-embeddings, word2vec</sup></sub>
+
+
+### [mutate](https://github.com/infinitylogesh/mutate) by [infinitylogesh](https://github.com/infinitylogesh)  
+mutate: A library to synthesize text datasets using Large Language Models (LLM)  
+[https://github.com/infinitylogesh/mutate](https://github.com/infinitylogesh/mutate)  
+2.27 stars per week over 61 weeks  
+140 stars, 11 forks, 3 watches  
+created 2021-12-29, last commit 2023-01-17, main language Python  
+<sub><sup>data-augmentation, data-labeling, language-model, nlp-library, text-generation</sup></sub>
+
+
+### [pySBD](https://github.com/nipunsadvilkar/pysbd) by [nipunsadvilkar](https://github.com/nipunsadvilkar)  
+pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.  
+[https://github.com/nipunsadvilkar/pysbd](https://github.com/nipunsadvilkar/pysbd)  
+1.92 stars per week over 299 weeks  
+575 stars, 67 forks, 10 watches  
+created 2017-06-11, last commit 2021-02-11, main language Python  
+<sub><sup>python, rule-based, segmentation, sentence, sentence-boundary-detection, sentence-tokenizer</sup></sub>
 
 
 ### [fonduer](https://github.com/hazyresearch/fonduer) by [hazyresearch](https://github.com/hazyresearch)  
 fonduer: A knowledge base construction engine for richly formatted data  
 [https://fonduer.readthedocs.io/](https://fonduer.readthedocs.io/)  
 [https://github.com/hazyresearch/fonduer](https://github.com/hazyresearch/fonduer)  
-1.53 stars per week over 252 weeks  
-386 stars, 79 forks, 27 watches  
+1.47 stars per week over 265 weeks  
+390 stars, 79 forks, 27 watches  
 created 2018-02-02, last commit 2021-06-23, main language Python  
 <sub><sup>knowledge-base-construction, machine-learning, multimodality</sup></sub>
 
 
-### [python-dialogflow](https://github.com/dialogflow/dialogflow-python-client-v2) by [dialogflow](https://github.com/dialogflow)  
-python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.  
-[https://dialogflow.com/](https://dialogflow.com/)  
-[https://github.com/dialogflow/dialogflow-python-client-v2](https://github.com/dialogflow/dialogflow-python-client-v2)  
-1.41 stars per week over 267 weeks  
-378 stars, 146 forks, 53 watches  
-created 2017-10-24, last commit 2022-11-26, main language Python  
-<sub><sup>dialogflow, machine-learning, python</sup></sub>
-
-
 ### [contractions](https://github.com/kootenpv/contractions) by [kootenpv](https://github.com/kootenpv)  
-contractions: Fixes contractions such as `you're` to you `are`  
+contractions: Fixes contractions such as `you're` to `you are`  
 [https://github.com/kootenpv/contractions](https://github.com/kootenpv/contractions)  
-0.84 stars per week over 310 weeks  
-262 stars, 35 forks, 7 watches  
+0.85 stars per week over 323 weeks  
+273 stars, 35 forks, 7 watches  
 created 2016-12-25, last commit 2022-11-15, main language Python  
 
 
+### [BRIO](https://github.com/yixinl7/brio) by [yixinl7](https://github.com/yixinl7)  
+ACL 2022: BRIO: Bringing Order to Abstractive Summarization  
+[https://github.com/yixinl7/brio](https://github.com/yixinl7/brio)  
+4.38 stars per week over 50 weeks  
+222 stars, 38 forks, 2 watches  
+created 2022-03-15, last commit 2022-11-06, main language Python  
+<sub><sup>nlp, text-summarization</sup></sub>
+
+
+### [s2orc-doc2json](https://github.com/allenai/s2orc-doc2json) by [allenai](https://github.com/allenai)  
+s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)  
+[https://github.com/allenai/s2orc-doc2json](https://github.com/allenai/s2orc-doc2json)  
+1.57 stars per week over 116 weeks  
+183 stars, 36 forks, 6 watches  
+created 2020-12-10, last commit 2022-12-09, main language Python  
+
+
+### [lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp) by [lexpredict](https://github.com/lexpredict)  
+lexpredict-lexnlp: LexNLP by LexPredict  
+[https://github.com/lexpredict/lexpredict-lexnlp](https://github.com/lexpredict/lexpredict-lexnlp)  
+2.08 stars per week over 283 weeks  
+588 stars, 158 forks, 49 watches  
+created 2017-09-30, last commit 2022-08-10, main language HTML  
+<sub><sup>analytics, contracts, data, law, legal, legaltech, linguistics, ml, nlp</sup></sub>
+
+
 ### [grade-school-math](https://github.com/openai/grade-school-math) by [openai](https://github.com/openai)  
 openai/grade-school-math  
 [https://github.com/openai/grade-school-math](https://github.com/openai/grade-school-math)  
-4.14 stars per week over 59 weeks  
-244 stars, 45 forks, 7 watches  
+4.33 stars per week over 71 weeks  
+310 stars, 65 forks, 9 watches  
 created 2021-10-20, last commit 2021-11-19, main language Python  
 
 
-### [s2orc-doc2json](https://github.com/allenai/s2orc-doc2json) by [allenai](https://github.com/allenai)  
-s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)  
-[https://github.com/allenai/s2orc-doc2json](https://github.com/allenai/s2orc-doc2json)  
-1.64 stars per week over 103 weeks  
-170 stars, 29 forks, 8 watches  
-created 2020-12-10, last commit 2022-11-18, main language Python  
+### [Blackstone](https://github.com/iclrandd/blackstone) by [iclrandd](https://github.com/iclrandd)  
+Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.  
+[https://research.iclr.co.uk](https://research.iclr.co.uk)  
+[https://github.com/iclrandd/blackstone](https://github.com/iclrandd/blackstone)  
+2.86 stars per week over 205 weeks  
+588 stars, 93 forks, 38 watches  
+created 2019-03-25, last commit 2021-01-31, main language Python  
+<sub><sup>caselaw, law, legaltech, nlp, spacy-models</sup></sub>
+
+
+### [lex-glue](https://github.com/coastalcph/lex-glue) by [coastalcph](https://github.com/coastalcph)  
+lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English  
+[https://github.com/coastalcph/lex-glue](https://github.com/coastalcph/lex-glue)  
+1.39 stars per week over 74 weeks  
+104 stars, 24 forks, 7 watches  
+created 2021-09-27, last commit 2022-11-04, main language Python  
+<sub><sup>benchmark, lawtech, legal, legaltech, nlp</sup></sub>
+
+
+### [byt5](https://github.com/google-research/byt5) by [google-research](https://github.com/google-research)  
+google-research/byt5  
+[https://github.com/google-research/byt5](https://github.com/google-research/byt5)  
+4.46 stars per week over 92 weeks  
+413 stars, 25 forks, 11 watches  
+created 2021-05-26, last commit 2022-03-02, main language Python  
 
 
 ### [zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text) by [yoadtew](https://github.com/yoadtew)  
 zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic  
 [https://github.com/yoadtew/zero-shot-image-to-text](https://github.com/yoadtew/zero-shot-image-to-text)  
-3.05 stars per week over 53 weeks  
-164 stars, 22 forks, 7 watches  
+2.75 stars per week over 66 weeks  
+182 stars, 26 forks, 7 watches  
 created 2021-11-26, last commit 2022-09-17, main language Python  
 
 
-### [mutate](https://github.com/infinitylogesh/mutate) by [infinitylogesh](https://github.com/infinitylogesh)  
-mutate: A library to synthesize text datasets using Large Language Models (LLM)  
-[https://github.com/infinitylogesh/mutate](https://github.com/infinitylogesh/mutate)  
-2.14 stars per week over 49 weeks  
-105 stars, 7 forks, 3 watches  
-created 2021-12-29, last commit 2022-04-18, main language Python  
-<sub><sup>data-augmentation, data-labeling, language-model, nlp-library, text-generation</sup></sub>
-
-
 ### [fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials) by [hazyresearch](https://github.com/hazyresearch)  
 fonduer-tutorials: A collection of simple tutorials for using Fonduer  
 [https://github.com/HazyResearch/fonduer](https://github.com/HazyResearch/fonduer)  
 [https://github.com/hazyresearch/fonduer-tutorials](https://github.com/hazyresearch/fonduer-tutorials)  
-0.39 stars per week over 245 weeks  
-96 stars, 23 forks, 18 watches  
+0.38 stars per week over 258 weeks  
+97 stars, 25 forks, 18 watches  
 created 2018-03-23, last commit 2020-05-27, main language Jupyter Notebook  
 
 
-### [lex-glue](https://github.com/coastalcph/lex-glue) by [coastalcph](https://github.com/coastalcph)  
-lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English  
-[https://github.com/coastalcph/lex-glue](https://github.com/coastalcph/lex-glue)  
-1.51 stars per week over 62 weeks  
-94 stars, 22 forks, 6 watches  
-created 2021-09-27, last commit 2022-11-04, main language Python  
-<sub><sup>benchmark, lawtech, legal, legaltech, nlp</sup></sub>
-
-
 ### [punctuator](https://github.com/ferdinandzhong/punctuator) by [ferdinandzhong](https://github.com/ferdinandzhong)  
 punctuator: A small seq2seq punctuator tool based on DistilBERT  
 [https://github.com/ferdinandzhong/punctuator](https://github.com/ferdinandzhong/punctuator)  
-0.33 stars per week over 106 weeks  
-35 stars, 5 forks, 1 watches  
+0.3 stars per week over 119 weeks  
+36 stars, 5 forks, 1 watches  
 created 2020-11-19, last commit 2022-09-28, main language Python  
 <sub><sup>bert, bert-ner, chinese-nlp, deep-learning, nlp, punctuation, pytorch, seq2seq</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/pandas.md b/categories/pandas.md
index b48b475..a22b257 100644
--- a/categories/pandas.md
+++ b/categories/pandas.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 19 curated pandas Python libraries and frameworks ordered by stars.  
+A selection of 20 curated pandas Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,66 +9,96 @@ Checkout the interactive version that you can filter and sort:
 pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more  
 [https://pandas.pydata.org](https://pandas.pydata.org)  
 [https://github.com/pandas-dev/pandas](https://github.com/pandas-dev/pandas)  
-56 stars per week over 641 weeks  
-36,168 stars, 15,473 forks, 1,118 watches  
-created 2010-08-24, last commit 2022-12-06, main language Python  
+56 stars per week over 653 weeks  
+37,060 stars, 15,845 forks, 1,105 watches  
+created 2010-08-24, last commit 2023-03-04, main language Python  
 <sub><sup>alignment, data-analysis, data-science, flexible, pandas, python</sup></sub>
 
 
-### [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
-pandas-profiling: Create HTML profiling reports from pandas DataFrame objects  
-[https://pandas-profiling.ydata.ai](https://pandas-profiling.ydata.ai)  
-[https://github.com/pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
-27 stars per week over 360 weeks  
-9,891 stars, 1,410 forks, 152 watches  
-created 2016-01-09, last commit 2022-11-29, main language Python  
-<sub><sup>big-data-analytics, data-analysis, data-exploration, data-profiling, data-quality, data-science, deep-learning, eda, exploration, exploratory-data-analysis, hacktoberfest, html-report, jupyter, jupyter-notebook, machine-learning, pandas, pandas-dataframe, pandas-profiling, python, statistics</sup></sub>
+### [pygwalker](https://github.com/kanaries/pygwalker) by [kanaries](https://github.com/kanaries)  
+PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis  
+[https://github.com/kanaries/pygwalker](https://github.com/kanaries/pygwalker)  
+1698 stars per week over 2 weeks  
+4,124 stars, 107 forks, 20 watches  
+created 2023-02-16, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>data-analysis, data-exploration, dataframe, pandas, tableau, tableau-alternative, visualization</sup></sub>
 
 
 ### [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) by [aws](https://github.com/aws)  
 aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).  
 [https://aws-sdk-pandas.readthedocs.io](https://aws-sdk-pandas.readthedocs.io)  
 [https://github.com/aws/aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas)  
-16 stars per week over 197 weeks  
-3,242 stars, 554 forks, 58 watches  
-created 2019-02-26, last commit 2022-12-05, main language Python  
+15 stars per week over 209 weeks  
+3,344 stars, 581 forks, 62 watches  
+created 2019-02-26, last commit 2023-03-03, main language Python  
 <sub><sup>amazon-athena, amazon-sagemaker-notebook, apache-arrow, apache-parquet, athena, aws, aws-glue, aws-lambda, data-engineering, data-science, emr, etl, glue-catalog, lambda, mysql, pandas, python, redshift</sup></sub>
 
 
-### [blaze](https://github.com/blaze/blaze)  
-blaze: NumPy and Pandas interface to Big Data  
-[blaze.pydata.org](blaze.pydata.org)  
-[https://github.com/blaze/blaze](https://github.com/blaze/blaze)  
-5.9 stars per week over 527 weeks  
-3,115 stars, 386 forks, 200 watches  
-created 2012-10-26, last commit 2019-08-15, main language Python  
+### [ydata-profiling](https://github.com/pandas-profiling/pandas-profiling) by [pandas-profiling](https://github.com/pandas-profiling)  
+ydata-profiling: Create HTML profiling reports from pandas DataFrame objects  
+[https://ydata-profiling.ydata.ai](https://ydata-profiling.ydata.ai)  
+[https://github.com/pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)  
+27 stars per week over 373 weeks  
+10,294 stars, 1,453 forks, 151 watches  
+created 2016-01-09, last commit 2023-01-30, main language Python  
+<sub><sup>big-data-analytics, data-analysis, data-exploration, data-profiling, data-quality, data-science, deep-learning, eda, exploration, exploratory-data-analysis, hacktoberfest, html-report, jupyter, jupyter-notebook, machine-learning, pandas, pandas-dataframe, pandas-profiling, python, statistics</sup></sub>
 
 
-### [PandasGUI](https://github.com/adamerose/pandasgui) by [adamerose](https://github.com/adamerose)  
-PandasGUI: A GUI for Pandas DataFrames  
-[https://github.com/adamerose/pandasgui](https://github.com/adamerose/pandasgui)  
-15 stars per week over 182 weeks  
-2,786 stars, 189 forks, 53 watches  
-created 2019-06-12, last commit 2022-03-16, main language Python  
-<sub><sup>dataframe, gui, pandas, viewer</sup></sub>
+### [pandera](https://github.com/pandera-dev/pandera) by [pandera-dev](https://github.com/pandera-dev)  
+pandera: A light-weight, flexible, and expressive statistical data testing library  
+[https://www.union.ai/pandera](https://www.union.ai/pandera)  
+[https://github.com/pandera-dev/pandera](https://github.com/pandera-dev/pandera)  
+8.82 stars per week over 226 weeks  
+1,997 stars, 164 forks, 14 watches  
+created 2018-11-01, last commit 2023-02-20, main language Python  
+<sub><sup>assertions, data-assertions, data-check, data-cleaning, data-processing, data-validation, data-verification, dataframe-schema, dataframes, hypothesis-testing, pandas, pandas-dataframe, pandas-validation, pandas-validator, schema, testing, testing-tools, validation</sup></sub>
 
 
 ### [pandarallel](https://github.com/nalepae/pandarallel) by [nalepae](https://github.com/nalepae)  
 pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs  
 [https://nalepae.github.io/pandarallel](https://nalepae.github.io/pandarallel)  
 [https://github.com/nalepae/pandarallel](https://github.com/nalepae/pandarallel)  
-13 stars per week over 195 weeks  
-2,609 stars, 161 forks, 25 watches  
-created 2019-03-10, last commit 2022-12-06, main language Python  
+13 stars per week over 208 weeks  
+2,907 stars, 176 forks, 27 watches  
+created 2019-03-10, last commit 2023-02-12, main language Python  
 <sub><sup>pandas, parallel, python</sup></sub>
 
 
+### [hamilton](https://github.com/stitchfix/hamilton) by [stitchfix](https://github.com/stitchfix)  
+hamilton: A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton  
+[https://www.github.com/dagworks-inc/hamilton](https://www.github.com/dagworks-inc/hamilton)  
+[https://github.com/stitchfix/hamilton](https://github.com/stitchfix/hamilton)  
+6.14 stars per week over 144 weeks  
+889 stars, 44 forks, 18 watches  
+created 2020-05-26, last commit 2023-02-26, main language Python  
+<sub><sup>dag, data-engineering, data-platform, data-science, dataframe, etl, etl-framework, etl-pipeline, feature-engineering, featurization, hamilton, hamiltonian, machine-learning, numpy, pandas, python, software-engineering, stitch-fix</sup></sub>
+
+
+### [Daft](https://github.com/eventual-inc/daft) by [eventual-inc](https://github.com/eventual-inc)  
+Daft: The Python DataFrame for Complex Data  
+[https://github.com/eventual-inc/daft](https://github.com/eventual-inc/daft)  
+10 stars per week over 44 weeks  
+470 stars, 18 forks, 6 watches  
+created 2022-04-25, last commit 2023-03-04, main language Python  
+<sub><sup>data-engineering, data-science, dataframe, deep-learning, distributed-computing, image-processing, machine-learning, python</sup></sub>
+
+
+### [pyjanitor](https://github.com/pyjanitor-devs/pyjanitor) by [pyjanitor-devs](https://github.com/pyjanitor-devs)  
+pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor  
+[https://pyjanitor-devs.github.io/pyjanitor](https://pyjanitor-devs.github.io/pyjanitor)  
+[https://github.com/pyjanitor-devs/pyjanitor](https://github.com/pyjanitor-devs/pyjanitor)  
+4.27 stars per week over 261 weeks  
+1,115 stars, 159 forks, 21 watches  
+created 2018-03-04, last commit 2023-03-03, main language Python  
+<sub><sup>cleaning-data, data, data-engineering, dataframe, hacktoberfest, pandas, pydata</sup></sub>
+
+
 ### [pandas-datareader](https://github.com/pydata/pandas-datareader) by [pydata](https://github.com/pydata)  
 pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.  
 [https://pydata.github.io/pandas-datareader/stable/index.html](https://pydata.github.io/pandas-datareader/stable/index.html)  
 [https://github.com/pydata/pandas-datareader](https://github.com/pydata/pandas-datareader)  
-6.06 stars per week over 411 weeks  
-2,496 stars, 616 forks, 133 watches  
+6.1 stars per week over 424 weeks  
+2,590 stars, 637 forks, 138 watches  
 created 2015-01-15, last commit 2022-03-16, main language Python  
 <sub><sup>data, data-analysis, dataset, econdb, economic-data, fama-french, finance, financial-data, fred, html, pandas, pydata, python, stock-data</sup></sub>
 
@@ -76,118 +106,97 @@ created 2015-01-15, last commit 2022-03-16, main language Python
 ### [swifter](https://github.com/jmcarpenter2/swifter) by [jmcarpenter2](https://github.com/jmcarpenter2)  
 swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner  
 [https://github.com/jmcarpenter2/swifter](https://github.com/jmcarpenter2/swifter)  
-8.84 stars per week over 243 weeks  
-2,152 stars, 97 forks, 28 watches  
+8.68 stars per week over 256 weeks  
+2,224 stars, 99 forks, 30 watches  
 created 2018-04-07, last commit 2022-08-16, main language Python  
 <sub><sup>dask, modin, pandas, pandas-dataframe, parallel-computing, parallelization</sup></sub>
 
 
-### [pandera](https://github.com/pandera-dev/pandera) by [pandera-dev](https://github.com/pandera-dev)  
-pandera: A light-weight, flexible, and expressive statistical data testing library  
-[https://www.union.ai/pandera](https://www.union.ai/pandera)  
-[https://github.com/pandera-dev/pandera](https://github.com/pandera-dev/pandera)  
-8.55 stars per week over 213 weeks  
-1,829 stars, 155 forks, 12 watches  
-created 2018-11-01, last commit 2022-11-14, main language Python  
-<sub><sup>assertions, data-assertions, data-check, data-cleaning, data-processing, data-validation, data-verification, dataframe-schema, dataframes, hypothesis-testing, pandas, pandas-dataframe, pandas-validation, pandas-validator, schema, testing, testing-tools, validation</sup></sub>
-
-
-### [pyjanitor](https://github.com/pyjanitor-devs/pyjanitor) by [pyjanitor-devs](https://github.com/pyjanitor-devs)  
-pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor  
-[https://pyjanitor-devs.github.io/pyjanitor](https://pyjanitor-devs.github.io/pyjanitor)  
-[https://github.com/pyjanitor-devs/pyjanitor](https://github.com/pyjanitor-devs/pyjanitor)  
-4.28 stars per week over 248 weeks  
-1,063 stars, 159 forks, 20 watches  
-created 2018-03-04, last commit 2022-11-30, main language Python  
-<sub><sup>cleaning-data, data, data-engineering, dataframe, hacktoberfest, pandas, pydata</sup></sub>
+### [PandasGUI](https://github.com/adamerose/pandasgui) by [adamerose](https://github.com/adamerose)  
+PandasGUI: A GUI for Pandas DataFrames  
+[https://github.com/adamerose/pandasgui](https://github.com/adamerose/pandasgui)  
+14 stars per week over 194 weeks  
+2,853 stars, 195 forks, 54 watches  
+created 2019-06-12, last commit 2022-03-16, main language Python  
+<sub><sup>dataframe, gui, pandas, viewer</sup></sub>
 
 
 ### [siuba](https://github.com/machow/siuba) by [machow](https://github.com/machow)  
 siuba: Python library for using dplyr like syntax with pandas and SQL  
 [https://siuba.org](https://siuba.org)  
 [https://github.com/machow/siuba](https://github.com/machow/siuba)  
-4.86 stars per week over 199 weeks  
-970 stars, 40 forks, 20 watches  
+4.72 stars per week over 212 weeks  
+1,001 stars, 43 forks, 21 watches  
 created 2019-02-09, last commit 2022-11-16, main language Python  
 <sub><sup>data-analysis, dplyr, pandas, python, sql</sup></sub>
 
 
-### [bamboolib](https://github.com/tkrabel/bamboolib) by [tkrabel](https://github.com/tkrabel)  
-bamboolib - a GUI for pandas DataFrames  
-[https://bamboolib.com](https://bamboolib.com)  
-[https://github.com/tkrabel/bamboolib](https://github.com/tkrabel/bamboolib)  
-4.64 stars per week over 184 weeks  
-854 stars, 92 forks, 31 watches  
-created 2019-05-29, last commit 2022-09-27, main language Jupyter Notebook  
-<sub><sup>jupyter-notebook, jupyterlab, pandas, pandas-dataframes, python</sup></sub>
-
-
-### [hamilton](https://github.com/stitchfix/hamilton) by [stitchfix](https://github.com/stitchfix)  
-hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc.  
-[https://hamilton-docs.gitbook.io/docs/](https://hamilton-docs.gitbook.io/docs/)  
-[https://github.com/stitchfix/hamilton](https://github.com/stitchfix/hamilton)  
-5.4 stars per week over 132 weeks  
-713 stars, 35 forks, 21 watches  
-created 2020-05-26, last commit 2022-12-04, main language Python  
-<sub><sup>dag, data-engineering, data-platform, data-science, dataframe, etl, etl-framework, etl-pipeline, feature-engineering, featurization, hamilton, hamiltonian, machine-learning, numpy, pandas, python, software-engineering, stitch-fix</sup></sub>
-
-
 ### [hvplot](https://github.com/holoviz/hvplot) by [holoviz](https://github.com/holoviz)  
 hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews  
 [https://hvplot.holoviz.org](https://hvplot.holoviz.org)  
 [https://github.com/holoviz/hvplot](https://github.com/holoviz/hvplot)  
-2.77 stars per week over 246 weeks  
-682 stars, 77 forks, 23 watches  
-created 2018-03-19, last commit 2022-12-01, main language Python  
+2.79 stars per week over 258 weeks  
+721 stars, 83 forks, 23 watches  
+created 2018-03-19, last commit 2023-02-10, main language Python  
 <sub><sup>datashader, holoviews, holoviz, plotting</sup></sub>
 
 
-### [datatile](https://github.com/polyaxon/datatile) by [polyaxon](https://github.com/polyaxon)  
-datatile: A library for managing, validating, summarizing, and visualizing data  
-[https://github.com/polyaxon/datatile](https://github.com/polyaxon/datatile)  
-1.27 stars per week over 349 weeks  
-443 stars, 40 forks, 13 watches  
-created 2016-03-25, last commit 2022-11-09, main language Python  
-<sub><sup>dask, data-analysis, data-exploration, data-profiling, data-quality, data-quality-checks, data-quality-monitoring, data-reporting, data-science, data-summary, data-visualization, dataframes, dataops, matplotlib, mlops, pandas, pandas-summary, plotly, spark, statistics</sup></sub>
+### [blaze](https://github.com/blaze/blaze)  
+blaze: NumPy and Pandas interface to Big Data  
+[blaze.pydata.org](blaze.pydata.org)  
+[https://github.com/blaze/blaze](https://github.com/blaze/blaze)  
+5.79 stars per week over 540 weeks  
+3,126 stars, 388 forks, 199 watches  
+created 2012-10-26, last commit 2019-08-15, main language Python  
 
 
-### [Daft](https://github.com/eventual-inc/daft) by [eventual-inc](https://github.com/eventual-inc)  
-Daft: The Python DataFrame for Complex Data  
-[https://github.com/eventual-inc/daft](https://github.com/eventual-inc/daft)  
-13 stars per week over 32 weeks  
-431 stars, 12 forks, 6 watches  
-created 2022-04-25, last commit 2022-12-07, main language Python  
-<sub><sup>data-engineering, data-science, dataframe, deep-learning, distributed-computing, image-processing, machine-learning, python</sup></sub>
+### [spatialpandas](https://github.com/holoviz/spatialpandas) by [holoviz](https://github.com/holoviz)  
+spatialpandas: Pandas extension arrays for spatial/geometric operations  
+[https://github.com/holoviz/spatialpandas](https://github.com/holoviz/spatialpandas)  
+1.47 stars per week over 174 weeks  
+257 stars, 21 forks, 22 watches  
+created 2019-10-28, last commit 2023-03-02, main language Python  
+<sub><sup>geographic-data, geopandas, holoviz, pandas, spatialpandas</sup></sub>
+
+
+### [traceml](https://github.com/polyaxon/datatile) by [polyaxon](https://github.com/polyaxon)  
+traceml: Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.  
+[https://github.com/polyaxon/datatile](https://github.com/polyaxon/datatile)  
+1.27 stars per week over 362 weeks  
+461 stars, 40 forks, 13 watches  
+created 2016-03-25, last commit 2023-02-24, main language Python  
+<sub><sup>dask, data-exploration, data-profiling, data-quality, data-quality-checks, data-science, data-visualization, dataframes, dataops, explainable-ai, matplotlib, mlops, pandas, pandas-summary, plotly, pytorch, spark, statistics, tensorflow, tracking</sup></sub>
 
 
 ### [pandas_flavor](https://github.com/zsailer/pandas_flavor) by [zsailer](https://github.com/zsailer)  
 pandas_flavor: The easy way to write your own flavor of Pandas  
 [https://zsailer.github.io/software/pandas-flavor/](https://zsailer.github.io/software/pandas-flavor/)  
 [https://github.com/zsailer/pandas_flavor](https://github.com/zsailer/pandas_flavor)  
-1.0 stars per week over 253 weeks  
-254 stars, 17 forks, 6 watches  
-created 2018-01-25, last commit 2022-04-17, main language Python  
+1.02 stars per week over 266 weeks  
+273 stars, 17 forks, 11 watches  
+created 2018-01-25, last commit 2023-02-03, main language Python  
 <sub><sup>pandas</sup></sub>
 
 
-### [spatialpandas](https://github.com/holoviz/spatialpandas) by [holoviz](https://github.com/holoviz)  
-spatialpandas: Pandas extension arrays for spatial/geometric operations  
-[https://github.com/holoviz/spatialpandas](https://github.com/holoviz/spatialpandas)  
-1.5 stars per week over 162 weeks  
-243 stars, 20 forks, 21 watches  
-created 2019-10-28, last commit 2022-11-22, main language Python  
-<sub><sup>geographic-data, geopandas, holoviz, pandas, spatialpandas</sup></sub>
+### [bamboolib](https://github.com/tkrabel/bamboolib) by [tkrabel](https://github.com/tkrabel)  
+bamboolib - a GUI for pandas DataFrames  
+[https://bamboolib.com](https://bamboolib.com)  
+[https://github.com/tkrabel/bamboolib](https://github.com/tkrabel/bamboolib)  
+4.5 stars per week over 196 weeks  
+884 stars, 95 forks, 31 watches  
+created 2019-05-29, last commit 2022-09-27, main language Jupyter Notebook  
+<sub><sup>jupyter-notebook, jupyterlab, pandas, pandas-dataframes, python</sup></sub>
 
 
 ### [mapply](https://github.com/ddelange/mapply) by [ddelange](https://github.com/ddelange)  
 mapply: Sensible multi-core apply function for Pandas  
 [https://github.com/ddelange/mapply](https://github.com/ddelange/mapply)  
-0.3 stars per week over 110 weeks  
-33 stars, 2 forks, 3 watches  
-created 2020-10-26, last commit 2022-11-22, main language Python  
+0.32 stars per week over 122 weeks  
+39 stars, 3 forks, 4 watches  
+created 2020-10-26, last commit 2023-03-04, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/perf.md b/categories/perf.md
index 5f0f322..38387a8 100644
--- a/categories/perf.md
+++ b/categories/perf.md
@@ -1,67 +1,77 @@
 # Crazy Awesome Python
-A selection of 28 curated perf Python libraries and frameworks ordered by stars.  
+A selection of 30 curated perf Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
-### [celery](https://github.com/celery/celery)  
-celery: Distributed Task Queue (development branch)  
-[https://docs.celeryq.dev](https://docs.celeryq.dev)  
-[https://github.com/celery/celery](https://github.com/celery/celery)  
-29 stars per week over 710 weeks  
-20,619 stars, 4,394 forks, 477 watches  
-created 2009-04-24, last commit 2022-12-06, main language Python  
-<sub><sup>amqp, python, python-library, python3, queue-tasks, queue-workers, queued-jobs, redis, redis-queue, sqs, sqs-queue, task-manager, task-runner, task-scheduler</sup></sub>
+### [polars](https://github.com/pola-rs/polars) by [pola-rs](https://github.com/pola-rs)  
+polars: Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js  
+[https://pola.rs/](https://pola.rs/)  
+[https://github.com/pola-rs/polars](https://github.com/pola-rs/polars)  
+101 stars per week over 146 weeks  
+14,809 stars, 751 forks, 126 watches  
+created 2020-05-13, last commit 2023-03-03, main language Rust  
+<sub><sup>arrow, dataframe, dataframe-library, dataframes, out-of-core, python, rust</sup></sub>
 
 
 ### [flatbuffers](https://github.com/google/flatbuffers) by [google](https://github.com/google)  
 FlatBuffers: Memory Efficient Serialization Library  
 [http://google.github.io/flatbuffers/](http://google.github.io/flatbuffers/)  
 [https://github.com/google/flatbuffers](https://github.com/google/flatbuffers)  
-43 stars per week over 446 weeks  
-19,486 stars, 2,968 forks, 648 watches  
-created 2014-05-19, last commit 2022-12-07, main language C++  
+43 stars per week over 458 weeks  
+20,000 stars, 3,027 forks, 644 watches  
+created 2014-05-19, last commit 2023-03-04, main language C++  
 <sub><sup>c, c-plus-plus, c-sharp, cross-platform, flatbuffers, go, grpc, java, javascript, json-parser, marshalling, mmap, protobuf, python, rpc, rust, serialization, serialization-library, typescript, zero-copy</sup></sub>
 
 
-### [pybind11](https://github.com/pybind/pybind11) by [pybind](https://github.com/pybind)  
-pybind11: Seamless operability between C++11 and Python  
-[https://pybind11.readthedocs.io/](https://pybind11.readthedocs.io/)  
-[https://github.com/pybind/pybind11](https://github.com/pybind/pybind11)  
-30 stars per week over 387 weeks  
-11,937 stars, 1,727 forks, 247 watches  
-created 2015-07-05, last commit 2022-12-07, main language C++  
-<sub><sup>bindings, python</sup></sub>
-
-
 ### [dask](https://github.com/dask/dask)  
 dask: Parallel computing with task scheduling  
 [https://dask.org](https://dask.org)  
 [https://github.com/dask/dask](https://github.com/dask/dask)  
-25 stars per week over 413 weeks  
-10,538 stars, 1,567 forks, 217 watches  
-created 2015-01-04, last commit 2022-12-06, main language Python  
+25 stars per week over 426 weeks  
+10,772 stars, 1,598 forks, 216 watches  
+created 2015-01-04, last commit 2023-03-03, main language Python  
 <sub><sup>dask, numpy, pandas, pydata, python, scikit-learn, scipy</sup></sub>
 
 
-### [polars](https://github.com/pola-rs/polars) by [pola-rs](https://github.com/pola-rs)  
-polars: Fast multi-threaded, hybrid-streaming DataFrame library in Rust | Python | Node.js  
-[https://pola.rs/](https://pola.rs/)  
-[https://github.com/pola-rs/polars](https://github.com/pola-rs/polars)  
-71 stars per week over 134 weeks  
-9,575 stars, 532 forks, 98 watches  
-created 2020-05-13, last commit 2022-12-07, main language Rust  
-<sub><sup>arrow, dataframe, dataframe-library, dataframes, out-of-core, python, rust</sup></sub>
+### [nebullvm](https://github.com/nebuly-ai/nebullvm) by [nebuly-ai](https://github.com/nebuly-ai)  
+nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀  
+[https://www.nebuly.com/](https://www.nebuly.com/)  
+[https://github.com/nebuly-ai/nebullvm](https://github.com/nebuly-ai/nebullvm)  
+92 stars per week over 55 weeks  
+5,100 stars, 328 forks, 64 watches  
+created 2022-02-12, last commit 2023-03-03, main language Python  
+<sub><sup>compiler, computing, deep-learning, edge-computing, gpu, huggingface, inference, machine-learning, neural-network, onnx, openvino, optimization, pypi, pytorch, quantization, tensorflow, tensorrt, transformers, tvm</sup></sub>
+
+
+### [celery](https://github.com/celery/celery)  
+celery: Distributed Task Queue (development branch)  
+[https://docs.celeryq.dev](https://docs.celeryq.dev)  
+[https://github.com/celery/celery](https://github.com/celery/celery)  
+29 stars per week over 723 weeks  
+21,040 stars, 4,442 forks, 475 watches  
+created 2009-04-24, last commit 2023-03-04, main language Python  
+<sub><sup>amqp, python, python-library, python3, queue-tasks, queue-workers, queued-jobs, redis, redis-queue, sqs, sqs-queue, task-manager, task-runner, task-scheduler</sup></sub>
+
+
+### [pybind11](https://github.com/pybind/pybind11) by [pybind](https://github.com/pybind)  
+pybind11: Seamless operability between C++11 and Python  
+[https://pybind11.readthedocs.io/](https://pybind11.readthedocs.io/)  
+[https://github.com/pybind/pybind11](https://github.com/pybind/pybind11)  
+30 stars per week over 400 weeks  
+12,294 stars, 1,778 forks, 245 watches  
+created 2015-07-05, last commit 2023-02-23, main language C++  
+<sub><sup>bindings, python</sup></sub>
 
 
 ### [modin](https://github.com/modin-project/modin) by [modin-project](https://github.com/modin-project)  
 Modin: Scale your Pandas workflows by changing a single line of code  
 [http://modin.readthedocs.io](http://modin.readthedocs.io)  
 [https://github.com/modin-project/modin](https://github.com/modin-project/modin)  
-34 stars per week over 232 weeks  
-8,115 stars, 582 forks, 109 watches  
-created 2018-06-21, last commit 2022-12-06, main language Python  
+34 stars per week over 245 weeks  
+8,421 stars, 591 forks, 108 watches  
+created 2018-06-21, last commit 2023-03-03, main language Python  
 <sub><sup>analytics, data-science, dataframe, datascience, distributed, hacktoberfest, modin, pandas, python, sql</sup></sub>
 
 
@@ -69,211 +79,221 @@ created 2018-06-21, last commit 2022-12-06, main language Python
 numba: NumPy aware dynamic Python compiler using LLVM  
 [http://numba.pydata.org/](http://numba.pydata.org/)  
 [https://github.com/numba/numba](https://github.com/numba/numba)  
-14 stars per week over 560 weeks  
-8,047 stars, 982 forks, 207 watches  
-created 2012-03-08, last commit 2022-12-06, main language Python  
+14 stars per week over 573 weeks  
+8,326 stars, 1,004 forks, 207 watches  
+created 2012-03-08, last commit 2023-03-03, main language Python  
 <sub><sup>compiler, cuda, llvm, numpy, parallel, python</sup></sub>
 
 
-### [vaex](https://github.com/vaexio/vaex) by [vaexio](https://github.com/vaexio)  
-vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀  
-[https://vaex.io](https://vaex.io)  
-[https://github.com/vaexio/vaex](https://github.com/vaexio/vaex)  
-17 stars per week over 427 weeks  
-7,435 stars, 573 forks, 141 watches  
-created 2014-09-27, last commit 2022-12-05, main language Python  
-<sub><sup>bigdata, data-science, dataframe, hdf5, machine-learning, machinelearning, memory-mapped-file, pyarrow, python, tabular-data, visualization</sup></sub>
-
-
-### [flower](https://github.com/mher/flower) by [mher](https://github.com/mher)  
-flower: Real-time monitor and web admin for Celery distributed task queue  
-[https://flower.readthedocs.io](https://flower.readthedocs.io)  
-[https://github.com/mher/flower](https://github.com/mher/flower)  
-10 stars per week over 543 weeks  
-5,476 stars, 978 forks, 144 watches  
-created 2012-07-08, last commit 2022-11-14, main language Python  
-<sub><sup>administration, asynchronous, celery, monitoring, python, rabbitmq, redis, task-queue, workers</sup></sub>
+### [codon](https://github.com/exaloop/codon) by [exaloop](https://github.com/exaloop)  
+codon: A high-performance, zero-overhead, extensible Python compiler using LLVM  
+[https://docs.exaloop.io/codon](https://docs.exaloop.io/codon)  
+[https://github.com/exaloop/codon](https://github.com/exaloop/codon)  
+76 stars per week over 74 weeks  
+5,694 stars, 191 forks, 48 watches  
+created 2021-09-27, last commit 2023-02-06, main language C++  
+<sub><sup>compiler, gpu-programming, high-performance, llvm, parallel-programming, python</sup></sub>
 
 
 ### [trio](https://github.com/python-trio/trio) by [python-trio](https://github.com/python-trio)  
 Trio – a friendly Python library for async concurrency and I/O  
 [https://trio.readthedocs.io](https://trio.readthedocs.io)  
 [https://github.com/python-trio/trio](https://github.com/python-trio/trio)  
-16 stars per week over 307 weeks  
-5,010 stars, 290 forks, 87 watches  
-created 2017-01-16, last commit 2022-12-05, main language Python  
+16 stars per week over 319 weeks  
+5,199 stars, 294 forks, 88 watches  
+created 2017-01-16, last commit 2023-03-03, main language Python  
 <sub><sup>async, async-await, io, networking, python, structured-concurrency, trio</sup></sub>
 
 
-### [ipyparallel](https://github.com/ipython/ipyparallel) by [ipython](https://github.com/ipython)  
-ipyparallel: IPython Parallel: Interactive Parallel Computing in Python  
-[https://ipyparallel.readthedocs.io/](https://ipyparallel.readthedocs.io/)  
-[https://github.com/ipython/ipyparallel](https://github.com/ipython/ipyparallel)  
-5.78 stars per week over 399 weeks  
-2,312 stars, 947 forks, 119 watches  
-created 2015-04-09, last commit 2022-11-22, main language Jupyter Notebook  
-<sub><sup>jupyter, parallel, python</sup></sub>
+### [vaex](https://github.com/vaexio/vaex) by [vaexio](https://github.com/vaexio)  
+vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀  
+[https://vaex.io](https://vaex.io)  
+[https://github.com/vaexio/vaex](https://github.com/vaexio/vaex)  
+17 stars per week over 440 weeks  
+7,812 stars, 586 forks, 141 watches  
+created 2014-09-27, last commit 2022-12-08, main language Python  
+<sub><sup>bigdata, data-science, dataframe, hdf5, machine-learning, machinelearning, memory-mapped-file, pyarrow, python, tabular-data, visualization</sup></sub>
+
+
+### [distributed](https://github.com/dask/distributed) by [dask](https://github.com/dask)  
+distributed: A distributed task scheduler for Dask  
+[https://distributed.dask.org](https://distributed.dask.org)  
+[https://github.com/dask/distributed](https://github.com/dask/distributed)  
+3.7 stars per week over 390 weeks  
+1,444 stars, 677 forks, 58 watches  
+created 2015-09-13, last commit 2023-03-04, main language Python  
+<sub><sup>dask, distributed-computing, hacktoberfest, pydata, python</sup></sub>
 
 
 ### [h5py](https://github.com/h5py/h5py)  
 h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.  
 [http://www.h5py.org](http://www.h5py.org)  
 [https://github.com/h5py/h5py](https://github.com/h5py/h5py)  
-3.38 stars per week over 532 weeks  
-1,799 stars, 479 forks, 55 watches  
-created 2012-09-21, last commit 2022-11-24, main language Python  
+3.36 stars per week over 545 weeks  
+1,833 stars, 491 forks, 55 watches  
+created 2012-09-21, last commit 2023-03-04, main language Python  
 
 
-### [distributed](https://github.com/dask/distributed) by [dask](https://github.com/dask)  
-distributed: A distributed task scheduler for Dask  
-[https://distributed.dask.org](https://distributed.dask.org)  
-[https://github.com/dask/distributed](https://github.com/dask/distributed)  
-3.78 stars per week over 377 weeks  
-1,427 stars, 664 forks, 59 watches  
-created 2015-09-13, last commit 2022-12-06, main language Python  
-<sub><sup>dask, distributed-computing, hacktoberfest, pydata, python</sup></sub>
+### [pointers.py](https://github.com/zerointensity/pointers.py) by [zerointensity](https://github.com/zerointensity)  
+pointers.py: Bringing the hell of pointers to Python.  
+[https://pointers.zintensity.dev/](https://pointers.zintensity.dev/)  
+[https://github.com/zerointensity/pointers.py](https://github.com/zerointensity/pointers.py)  
+15 stars per week over 51 weeks  
+802 stars, 11 forks, 4 watches  
+created 2022-03-09, last commit 2023-02-14, main language Python  
+<sub><sup>pointers, python, python-pointers</sup></sub>
 
 
-### [eventlet](https://github.com/eventlet/eventlet)  
-eventlet: Concurrent networking library for Python  
-[https://eventlet.net](https://eventlet.net)  
-[https://github.com/eventlet/eventlet](https://github.com/eventlet/eventlet)  
-2.18 stars per week over 521 weeks  
-1,138 stars, 295 forks, 62 watches  
-created 2012-12-11, last commit 2022-11-17, main language Python  
-<sub><sup>c10k, concurrency, greenlet, network, production-ready, python</sup></sub>
+### [flower](https://github.com/mher/flower) by [mher](https://github.com/mher)  
+flower: Real-time monitor and web admin for Celery distributed task queue  
+[https://flower.readthedocs.io](https://flower.readthedocs.io)  
+[https://github.com/mher/flower](https://github.com/mher/flower)  
+10 stars per week over 556 weeks  
+5,581 stars, 1,001 forks, 143 watches  
+created 2012-07-08, last commit 2022-11-14, main language Python  
+<sub><sup>administration, asynchronous, celery, monitoring, python, rabbitmq, redis, task-queue, workers</sup></sub>
 
 
-### [asitop](https://github.com/tlkh/asitop) by [tlkh](https://github.com/tlkh)  
-asitop: Perf monitoring CLI tool for Apple Silicon  
-[https://tlkh.github.io/asitop/](https://tlkh.github.io/asitop/)  
-[https://github.com/tlkh/asitop](https://github.com/tlkh/asitop)  
-19 stars per week over 58 weeks  
-1,133 stars, 67 forks, 13 watches  
-created 2021-10-27, last commit 2022-08-20, main language Python  
-<sub><sup>apple-silicon, cli, cpu, gpu, m1, macos</sup></sub>
+### [asyncer](https://github.com/tiangolo/asyncer) by [tiangolo](https://github.com/tiangolo)  
+Asyncer, async and await, focused on developer experience.  
+[https://asyncer.tiangolo.com/](https://asyncer.tiangolo.com/)  
+[https://github.com/tiangolo/asyncer](https://github.com/tiangolo/asyncer)  
+15 stars per week over 60 weeks  
+964 stars, 38 forks, 15 watches  
+created 2022-01-04, last commit 2023-02-21, main language Python  
+<sub><sup>anyio, async, asyncio, python, trio</sup></sub>
 
 
 ### [anyio](https://github.com/agronholm/anyio) by [agronholm](https://github.com/agronholm)  
 anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio  
 [https://github.com/agronholm/anyio](https://github.com/agronholm/anyio)  
-5.01 stars per week over 224 weeks  
-1,125 stars, 95 forks, 24 watches  
-created 2018-08-19, last commit 2022-11-26, main language Python  
+5.05 stars per week over 237 weeks  
+1,196 stars, 101 forks, 26 watches  
+created 2018-08-19, last commit 2023-03-03, main language Python  
 <sub><sup>async-await, asyncio, curio, trio</sup></sub>
 
 
-### [pycom](https://github.com/omyyyy/pycom) by [omyyyy](https://github.com/omyyyy)  
-pycom: A Python compiler, down to native code, using C++  
-[https://github.com/omyyyy/pycom](https://github.com/omyyyy/pycom)  
-53 stars per week over 20 weeks  
-1,097 stars, 21 forks, 17 watches  
-created 2022-07-16, last commit 2022-08-31, main language C++  
-
-
-### [pympler](https://github.com/pympler/pympler)  
-pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.  
-[https://github.com/pympler/pympler](https://github.com/pympler/pympler)  
-1.86 stars per week over 530 weeks  
-989 stars, 82 forks, 10 watches  
-created 2012-10-04, last commit 2022-07-24, main language Python  
-
-
-### [faster-cpython](https://github.com/markshannon/faster-cpython) by [markshannon](https://github.com/markshannon)  
-faster-cpython: How to make CPython faster.  
-[https://github.com/markshannon/faster-cpython](https://github.com/markshannon/faster-cpython)  
-7.93 stars per week over 111 weeks  
-883 stars, 20 forks, 83 watches  
-created 2020-10-19, last commit 2020-10-28, main language None  
+### [asitop](https://github.com/tlkh/asitop) by [tlkh](https://github.com/tlkh)  
+asitop: Perf monitoring CLI tool for Apple Silicon  
+[https://tlkh.github.io/asitop/](https://tlkh.github.io/asitop/)  
+[https://github.com/tlkh/asitop](https://github.com/tlkh/asitop)  
+19 stars per week over 70 weeks  
+1,366 stars, 81 forks, 19 watches  
+created 2021-10-27, last commit 2023-01-24, main language Python  
+<sub><sup>apple-silicon, cli, cpu, gpu, m1, macos</sup></sub>
 
 
-### [asyncer](https://github.com/tiangolo/asyncer) by [tiangolo](https://github.com/tiangolo)  
-Asyncer, async and await, focused on developer experience.  
-[https://asyncer.tiangolo.com/](https://asyncer.tiangolo.com/)  
-[https://github.com/tiangolo/asyncer](https://github.com/tiangolo/asyncer)  
-18 stars per week over 48 weeks  
-878 stars, 40 forks, 14 watches  
-created 2022-01-04, last commit 2022-11-14, main language Python  
-<sub><sup>anyio, async, asyncio, python, trio</sup></sub>
+### [ipyparallel](https://github.com/ipython/ipyparallel) by [ipython](https://github.com/ipython)  
+ipyparallel: IPython Parallel: Interactive Parallel Computing in Python  
+[https://ipyparallel.readthedocs.io/](https://ipyparallel.readthedocs.io/)  
+[https://github.com/ipython/ipyparallel](https://github.com/ipython/ipyparallel)  
+5.72 stars per week over 412 weeks  
+2,361 stars, 959 forks, 120 watches  
+created 2015-04-09, last commit 2023-02-08, main language Jupyter Notebook  
+<sub><sup>jupyter, parallel, python</sup></sub>
 
 
 ### [scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex) by [intel](https://github.com/intel)  
 scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application  
 [https://intel.github.io/scikit-learn-intelex/](https://intel.github.io/scikit-learn-intelex/)  
 [https://github.com/intel/scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex)  
-3.75 stars per week over 226 weeks  
-847 stars, 135 forks, 28 watches  
-created 2018-08-07, last commit 2022-12-05, main language Python  
+3.78 stars per week over 238 weeks  
+902 stars, 148 forks, 28 watches  
+created 2018-08-07, last commit 2023-03-03, main language Python  
 <sub><sup>ai-inference, ai-machine-learning, ai-training, analytics, big-data, data-analysis, gpu, intel, machine-learning, machine-learning-algorithms, oneapi, python, scikit-learn, swrepo</sup></sub>
 
 
-### [pointers.py](https://github.com/zerointensity/pointers.py) by [zerointensity](https://github.com/zerointensity)  
-pointers.py: Bringing the hell of pointers to Python.  
-[https://pointers.zintensity.dev/](https://pointers.zintensity.dev/)  
-[https://github.com/zerointensity/pointers.py](https://github.com/zerointensity/pointers.py)  
-19 stars per week over 39 weeks  
-765 stars, 9 forks, 3 watches  
-created 2022-03-09, last commit 2022-11-30, main language Python  
-<sub><sup>pointers, python, python-pointers</sup></sub>
+### [eventlet](https://github.com/eventlet/eventlet)  
+eventlet: Concurrent networking library for Python  
+[https://eventlet.net](https://eventlet.net)  
+[https://github.com/eventlet/eventlet](https://github.com/eventlet/eventlet)  
+2.17 stars per week over 533 weeks  
+1,160 stars, 299 forks, 63 watches  
+created 2012-12-11, last commit 2023-03-01, main language Python  
+<sub><sup>c10k, concurrency, greenlet, network, production-ready, python</sup></sub>
 
 
-### [py-frameworks-bench](https://github.com/klen/py-frameworks-bench) by [klen](https://github.com/klen)  
-py-frameworks-bench: Another benchmark for some python frameworks  
-[https://klen.github.io/py-frameworks-bench/](https://klen.github.io/py-frameworks-bench/)  
-[https://github.com/klen/py-frameworks-bench](https://github.com/klen/py-frameworks-bench)  
-1.69 stars per week over 396 weeks  
-670 stars, 78 forks, 28 watches  
-created 2015-04-30, last commit 2022-03-14, main language Python  
-<sub><sup>benchmark, python-frameworks</sup></sub>
+### [pycom](https://github.com/omyyyy/pycom) by [omyyyy](https://github.com/omyyyy)  
+pycom: A Python compiler, down to native code, using C++  
+[https://github.com/omyyyy/pycom](https://github.com/omyyyy/pycom)  
+33 stars per week over 33 weeks  
+1,100 stars, 21 forks, 17 watches  
+created 2022-07-16, last commit 2022-08-31, main language C++  
 
 
 ### [specialist](https://github.com/brandtbucher/specialist) by [brandtbucher](https://github.com/brandtbucher)  
 specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:  
 [https://github.com/brandtbucher/specialist](https://github.com/brandtbucher/specialist)  
-17 stars per week over 27 weeks  
-465 stars, 9 forks, 8 watches  
-created 2022-06-01, last commit 2022-12-02, main language Python  
+13 stars per week over 39 weeks  
+516 stars, 9 forks, 10 watches  
+created 2022-06-01, last commit 2023-03-01, main language Python  
 
 
 ### [loky](https://github.com/joblib/loky) by [joblib](https://github.com/joblib)  
 loky: Robust and reusable Executor for joblib  
 [http://loky.readthedocs.io/en/stable/](http://loky.readthedocs.io/en/stable/)  
 [https://github.com/joblib/loky](https://github.com/joblib/loky)  
-1.19 stars per week over 362 weeks  
-432 stars, 41 forks, 9 watches  
-created 2015-12-25, last commit 2022-09-15, main language Python  
+1.19 stars per week over 375 weeks  
+445 stars, 43 forks, 10 watches  
+created 2015-12-25, last commit 2023-03-02, main language Python  
 <sub><sup>multiprocessing-library, python</sup></sub>
 
 
+### [python-blosc](https://github.com/blosc/python-blosc) by [blosc](https://github.com/blosc)  
+python-blosc: A Python wrapper for the extremely fast Blosc compression library   
+[https://www.blosc.org/python-blosc/python-blosc.html](https://www.blosc.org/python-blosc/python-blosc.html)  
+[https://github.com/blosc/python-blosc](https://github.com/blosc/python-blosc)  
+0.51 stars per week over 648 weeks  
+329 stars, 75 forks, 14 watches  
+created 2010-09-30, last commit 2023-03-02, main language Python  
+<sub><sup>blosc, compression, python, wrapper</sup></sub>
+
+
 ### [pebble](https://github.com/noxdafox/pebble) by [noxdafox](https://github.com/noxdafox)  
 pebble: Multi threading and processing eye-candy.  
 [https://github.com/noxdafox/pebble](https://github.com/noxdafox/pebble)  
-0.81 stars per week over 477 weeks  
-387 stars, 45 forks, 10 watches  
-created 2013-10-16, last commit 2022-11-15, main language Python  
+0.83 stars per week over 489 weeks  
+406 stars, 46 forks, 10 watches  
+created 2013-10-16, last commit 2023-03-01, main language Python  
 <sub><sup>asyncio, decorators, multiprocessing, pool, python, threading</sup></sub>
 
 
-### [python-blosc](https://github.com/blosc/python-blosc) by [blosc](https://github.com/blosc)  
-python-blosc: A Python wrapper for the extremely fast Blosc compression library   
-[https://www.blosc.org/python-blosc/python-blosc.html](https://www.blosc.org/python-blosc/python-blosc.html)  
-[https://github.com/blosc/python-blosc](https://github.com/blosc/python-blosc)  
-0.51 stars per week over 635 weeks  
-322 stars, 75 forks, 12 watches  
-created 2010-09-30, last commit 2022-11-10, main language C  
-<sub><sup>blosc, compression, python, wrapper</sup></sub>
+### [pympler](https://github.com/pympler/pympler)  
+pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.  
+[https://github.com/pympler/pympler](https://github.com/pympler/pympler)  
+1.87 stars per week over 543 weeks  
+1,018 stars, 83 forks, 10 watches  
+created 2012-10-04, last commit 2022-07-24, main language Python  
+
+
+### [py-frameworks-bench](https://github.com/klen/py-frameworks-bench) by [klen](https://github.com/klen)  
+py-frameworks-bench: Another benchmark for some python frameworks  
+[https://klen.github.io/py-frameworks-bench/](https://klen.github.io/py-frameworks-bench/)  
+[https://github.com/klen/py-frameworks-bench](https://github.com/klen/py-frameworks-bench)  
+1.67 stars per week over 409 weeks  
+684 stars, 80 forks, 27 watches  
+created 2015-04-30, last commit 2022-03-14, main language Python  
+<sub><sup>benchmark, python-frameworks</sup></sub>
+
+
+### [faster-cpython](https://github.com/markshannon/faster-cpython) by [markshannon](https://github.com/markshannon)  
+faster-cpython: How to make CPython faster.  
+[https://github.com/markshannon/faster-cpython](https://github.com/markshannon/faster-cpython)  
+7.27 stars per week over 123 weeks  
+901 stars, 21 forks, 84 watches  
+created 2020-10-19, last commit 2020-10-28, main language None  
 
 
 ### [tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments) by [tlkh](https://github.com/tlkh)  
 tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)  
 [https://github.com/tlkh/tf-metal-experiments](https://github.com/tlkh/tf-metal-experiments)  
-2.75 stars per week over 58 weeks  
-160 stars, 17 forks, 9 watches  
+2.73 stars per week over 70 weeks  
+193 stars, 20 forks, 11 watches  
 created 2021-10-26, last commit 2021-11-15, main language Jupyter Notebook  
 <sub><sup>benchmark, bert, deep-learning, gpu, m1, m1-max, tensorflow</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/profiling.md b/categories/profiling.md
index fb1c6bc..3fe1e50 100644
--- a/categories/profiling.md
+++ b/categories/profiling.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 13 curated profiling Python libraries and frameworks ordered by stars.  
+A selection of 14 curated profiling Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,37 +9,65 @@ Checkout the interactive version that you can filter and sort:
 Memray is a memory profiler for Python  
 [https://bloomberg.github.io/memray/](https://bloomberg.github.io/memray/)  
 [https://github.com/bloomberg/memray](https://github.com/bloomberg/memray)  
-277 stars per week over 34 weeks  
-9,649 stars, 263 forks, 53 watches  
-created 2022-04-08, last commit 2022-12-06, main language Python  
+215 stars per week over 47 weeks  
+10,203 stars, 283 forks, 53 watches  
+created 2022-04-08, last commit 2023-02-27, main language Python  
 <sub><sup>hacktoberfest, memory, memory-leak, memory-leak-detection, memory-profiler, profiler, python, python3</sup></sub>
 
 
+### [scalene](https://github.com/plasma-umass/scalene) by [plasma-umass](https://github.com/plasma-umass)  
+Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals  
+[https://github.com/plasma-umass/scalene](https://github.com/plasma-umass/scalene)  
+44 stars per week over 167 weeks  
+7,426 stars, 247 forks, 72 watches  
+created 2019-12-17, last commit 2023-02-27, main language JavaScript  
+<sub><sup>cpu, cpu-profiling, gpu, gpu-programming, memory-allocation, memory-consumption, performance-analysis, performance-cpu, profiler, profiles-memory, profiling, python, python-profilers, scalene</sup></sub>
+
+
+### [viztracer](https://github.com/gaogaotiantian/viztracer) by [gaogaotiantian](https://github.com/gaogaotiantian)  
+VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.  
+[https://viztracer.readthedocs.io/](https://viztracer.readthedocs.io/)  
+[https://github.com/gaogaotiantian/viztracer](https://github.com/gaogaotiantian/viztracer)  
+22 stars per week over 134 weeks  
+3,060 stars, 293 forks, 40 watches  
+created 2020-08-05, last commit 2023-02-17, main language Python  
+<sub><sup>debugging, flamegraph, logging, profiling, python, python3, tracer, visualization</sup></sub>
+
+
 ### [py-spy](https://github.com/benfred/py-spy) by [benfred](https://github.com/benfred)  
 py-spy: Sampling profiler for Python programs  
 [https://github.com/benfred/py-spy](https://github.com/benfred/py-spy)  
-41 stars per week over 227 weeks  
-9,415 stars, 341 forks, 107 watches  
-created 2018-08-01, last commit 2022-12-05, main language Rust  
+40 stars per week over 239 weeks  
+9,796 stars, 347 forks, 111 watches  
+created 2018-08-01, last commit 2022-12-09, main language Rust  
 <sub><sup>performance-analysis, profiler, profiling, python</sup></sub>
 
 
-### [scalene](https://github.com/plasma-umass/scalene) by [plasma-umass](https://github.com/plasma-umass)  
-Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python  
-[https://github.com/plasma-umass/scalene](https://github.com/plasma-umass/scalene)  
-43 stars per week over 155 weeks  
-6,772 stars, 232 forks, 67 watches  
-created 2019-12-17, last commit 2022-12-07, main language JavaScript  
-<sub><sup>cpu, cpu-profiling, gpu, gpu-programming, memory-allocation, memory-consumption, performance-analysis, performance-cpu, profiler, profiles-memory, profiling, python, python-profilers, scalene</sup></sub>
+### [reloadium](https://github.com/reloadware/reloadium) by [reloadware](https://github.com/reloadware)  
+reloadium: Advanced Hot Reloading & Profiling for Python  
+[https://reloadium.io](https://reloadium.io)  
+[https://github.com/reloadware/reloadium](https://github.com/reloadware/reloadium)  
+37 stars per week over 59 weeks  
+2,228 stars, 39 forks, 24 watches  
+created 2022-01-15, last commit 2023-02-27, main language Python  
+<sub><sup>django, edit-and-continue, flask, hot-reload, hot-reloading, pandas, python, python3</sup></sub>
+
+
+### [line_profiler](https://github.com/pyutils/line_profiler) by [pyutils](https://github.com/pyutils)  
+line_profiler: Line-by-line profiling for Python  
+[https://github.com/pyutils/line_profiler](https://github.com/pyutils/line_profiler)  
+9.98 stars per week over 168 weeks  
+1,684 stars, 97 forks, 16 watches  
+created 2019-12-10, last commit 2023-03-04, main language Cython  
 
 
 ### [pyinstrument](https://github.com/joerick/pyinstrument) by [joerick](https://github.com/joerick)  
 pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!  
 [https://pyinstrument.readthedocs.io/](https://pyinstrument.readthedocs.io/)  
 [https://github.com/joerick/pyinstrument](https://github.com/joerick/pyinstrument)  
-10 stars per week over 455 weeks  
-4,934 stars, 218 forks, 52 watches  
-created 2014-03-13, last commit 2022-12-05, main language Python  
+10 stars per week over 468 weeks  
+5,144 stars, 220 forks, 55 watches  
+created 2014-03-13, last commit 2022-12-27, main language Python  
 <sub><sup>async, django, performance, profile, profiler, python</sup></sub>
 
 
@@ -47,86 +75,66 @@ created 2014-03-13, last commit 2022-12-05, main language Python
 memory_profiler: Monitor Memory usage of Python code  
 [http://pypi.python.org/pypi/memory_profiler](http://pypi.python.org/pypi/memory_profiler)  
 [https://github.com/pythonprofilers/memory_profiler](https://github.com/pythonprofilers/memory_profiler)  
-6.31 stars per week over 581 weeks  
-3,671 stars, 363 forks, 76 watches  
+6.37 stars per week over 594 weeks  
+3,788 stars, 366 forks, 76 watches  
 created 2011-10-14, last commit 2022-12-06, main language Python  
 
 
-### [viztracer](https://github.com/gaogaotiantian/viztracer) by [gaogaotiantian](https://github.com/gaogaotiantian)  
-VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.  
-[https://viztracer.readthedocs.io/](https://viztracer.readthedocs.io/)  
-[https://github.com/gaogaotiantian/viztracer](https://github.com/gaogaotiantian/viztracer)  
-22 stars per week over 122 weeks  
-2,732 stars, 275 forks, 37 watches  
-created 2020-08-05, last commit 2022-11-24, main language Python  
-<sub><sup>debugging, flamegraph, logging, profiling, python, python3, tracer, visualization</sup></sub>
-
-
-### [snakeviz](https://github.com/jiffyclub/snakeviz) by [jiffyclub](https://github.com/jiffyclub)  
-snakeviz: An in-browser Python profile viewer  
-[https://jiffyclub.github.io/snakeviz/](https://jiffyclub.github.io/snakeviz/)  
-[https://github.com/jiffyclub/snakeviz](https://github.com/jiffyclub/snakeviz)  
-3.34 stars per week over 545 weeks  
-1,823 stars, 128 forks, 22 watches  
-created 2012-06-26, last commit 2021-10-25, main language Python  
-
-
-### [reloadium](https://github.com/reloadware/reloadium) by [reloadware](https://github.com/reloadware)  
-reloadium: Advanced Hot Reloading & Profiling for Python  
-[https://reloadium.io](https://reloadium.io)  
-[https://github.com/reloadware/reloadium](https://github.com/reloadware/reloadium)  
-38 stars per week over 46 weeks  
-1,783 stars, 26 forks, 23 watches  
-created 2022-01-15, last commit 2022-11-29, main language Python  
-<sub><sup>django, edit-and-continue, flask, hot-reload, hot-reloading, pandas, python, python3</sup></sub>
+### [filprofiler](https://github.com/pythonspeed/filprofiler) by [pythonspeed](https://github.com/pythonspeed)  
+filprofiler: A Python memory profiler for data processing and scientific computing applications  
+[https://pythonspeed.com/products/filmemoryprofiler/](https://pythonspeed.com/products/filmemoryprofiler/)  
+[https://github.com/pythonspeed/filprofiler](https://github.com/pythonspeed/filprofiler)  
+5.13 stars per week over 141 weeks  
+726 stars, 20 forks, 9 watches  
+created 2020-06-18, last commit 2023-03-01, main language Rust  
+<sub><sup>memory, memory-, memory-leak, memory-leak-detection, memory-leak-finder, memory-leaks, memory-profiler, memory-profiling, python</sup></sub>
 
 
 ### [austin](https://github.com/p403n1x87/austin) by [p403n1x87](https://github.com/p403n1x87)  
 austin: Python frame stack sampler for CPython  
 [https://github.com/p403n1x87/austin](https://github.com/p403n1x87/austin)  
-4.81 stars per week over 219 weeks  
-1,058 stars, 35 forks, 14 watches  
-created 2018-09-20, last commit 2022-10-28, main language C  
+4.83 stars per week over 232 weeks  
+1,123 stars, 37 forks, 14 watches  
+created 2018-09-20, last commit 2023-02-21, main language C  
 <sub><sup>debugging-tools, performance, profiling, python</sup></sub>
 
 
+### [snakeviz](https://github.com/jiffyclub/snakeviz) by [jiffyclub](https://github.com/jiffyclub)  
+snakeviz: An in-browser Python profile viewer  
+[https://jiffyclub.github.io/snakeviz/](https://jiffyclub.github.io/snakeviz/)  
+[https://github.com/jiffyclub/snakeviz](https://github.com/jiffyclub/snakeviz)  
+3.39 stars per week over 557 weeks  
+1,889 stars, 129 forks, 23 watches  
+created 2012-06-26, last commit 2023-02-17, main language Python  
+
+
 ### [yappi](https://github.com/sumerc/yappi) by [sumerc](https://github.com/sumerc)  
 yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.  
 [https://github.com/sumerc/yappi](https://github.com/sumerc/yappi)  
-1.49 stars per week over 687 weeks  
-1,026 stars, 57 forks, 13 watches  
+1.54 stars per week over 699 weeks  
+1,078 stars, 58 forks, 13 watches  
 created 2009-10-07, last commit 2022-11-25, main language Python  
 <sub><sup>asgi, asynchronous, asyncio, coroutine, cpu, gevent, greenlet, multi-threaded-applications, multithreading, performance, profile, profilers, python, thread</sup></sub>
 
 
+### [torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler) by [kshitij12345](https://github.com/kshitij12345)  
+torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module  
+[https://github.com/kshitij12345/torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler)  
+3.92 stars per week over 19 weeks  
+75 stars, 3 forks, 4 watches  
+created 2022-10-22, last commit 2022-11-02, main language Python  
+
+
 ### [pyheat](https://github.com/csurfer/pyheat) by [csurfer](https://github.com/csurfer)  
 pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!  
 [https://github.com/csurfer/pyheat](https://github.com/csurfer/pyheat)  
-2.41 stars per week over 304 weeks  
-734 stars, 41 forks, 13 watches  
+2.33 stars per week over 317 weeks  
+740 stars, 40 forks, 13 watches  
 created 2017-02-04, last commit 2021-09-18, main language Python  
 <sub><sup>heatmap, matplotlib, profiling, python</sup></sub>
 
 
-### [filprofiler](https://github.com/pythonspeed/filprofiler) by [pythonspeed](https://github.com/pythonspeed)  
-filprofiler: A Python memory profiler for data processing and scientific computing applications  
-[https://pythonspeed.com/products/filmemoryprofiler/](https://pythonspeed.com/products/filmemoryprofiler/)  
-[https://github.com/pythonspeed/filprofiler](https://github.com/pythonspeed/filprofiler)  
-5.35 stars per week over 128 weeks  
-690 stars, 20 forks, 8 watches  
-created 2020-06-18, last commit 2022-12-05, main language Rust  
-<sub><sup>memory, memory-, memory-leak, memory-leak-detection, memory-leak-finder, memory-leaks, memory-profiler, memory-profiling, python</sup></sub>
-
-
-### [torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler) by [kshitij12345](https://github.com/kshitij12345)  
-torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module  
-[https://github.com/kshitij12345/torchnnprofiler](https://github.com/kshitij12345/torchnnprofiler)  
-10 stars per week over 6 weeks  
-70 stars, 2 forks, 4 watches  
-created 2022-10-22, last commit 2022-11-02, main language Python  
-
-
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/security.md b/categories/security.md
index 2409ae6..ecef5b4 100644
--- a/categories/security.md
+++ b/categories/security.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 6 curated security Python libraries and frameworks ordered by stars.  
+A selection of 9 curated security Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -7,65 +7,91 @@ Checkout the interactive version that you can filter and sort:
 
 ### [trivy](https://github.com/aquasecurity/trivy) by [aquasecurity](https://github.com/aquasecurity)  
 trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more  
-[https://trivy.dev](https://trivy.dev)  
+[https://aquasecurity.github.io/trivy](https://aquasecurity.github.io/trivy)  
 [https://github.com/aquasecurity/trivy](https://github.com/aquasecurity/trivy)  
-79 stars per week over 190 weeks  
-15,142 stars, 1,463 forks, 144 watches  
-created 2019-04-11, last commit 2022-12-04, main language Go  
+80 stars per week over 203 weeks  
+16,441 stars, 1,597 forks, 154 watches  
+created 2019-04-11, last commit 2023-03-03, main language Go  
 <sub><sup>containers, devsecops, docker, go, golang, hacktoberfest, iac, infrastructure-as-code, kubernetes, misconfiguration, security, security-tools, vulnerability, vulnerability-detection, vulnerability-scanners</sup></sub>
 
 
+### [certbot](https://github.com/certbot/certbot)  
+Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.  
+[https://github.com/certbot/certbot](https://github.com/certbot/certbot)  
+68 stars per week over 433 weeks  
+29,683 stars, 3,332 forks, 762 watches  
+created 2014-11-12, last commit 2023-03-02, main language Python  
+<sub><sup>acme, acme-client, certbot, certificate, letsencrypt, python</sup></sub>
+
+
+### [maltrail](https://github.com/stamparm/maltrail) by [stamparm](https://github.com/stamparm)  
+maltrail: Malicious traffic detection system  
+[https://github.com/stamparm/maltrail](https://github.com/stamparm/maltrail)  
+11 stars per week over 430 weeks  
+4,992 stars, 937 forks, 216 watches  
+created 2014-12-04, last commit 2023-03-04, main language Python  
+<sub><sup>attack-detection, intrusion-detection, malware, network-monitoring, python, security, sensor</sup></sub>
+
+
 ### [bandit](https://github.com/pycqa/bandit) by [pycqa](https://github.com/pycqa)  
 Bandit is a tool designed to find common security issues in Python code.  
 [https://bandit.readthedocs.io](https://bandit.readthedocs.io)  
 [https://github.com/pycqa/bandit](https://github.com/pycqa/bandit)  
-19 stars per week over 240 weeks  
-4,722 stars, 493 forks, 59 watches  
-created 2018-04-26, last commit 2022-10-28, main language Python  
+19 stars per week over 253 weeks  
+5,002 stars, 510 forks, 65 watches  
+created 2018-04-26, last commit 2023-03-02, main language Python  
 <sub><sup>bandit, linter, python, security, security-scanner, security-tools, static-code-analysis</sup></sub>
 
 
+### [pip-audit](https://github.com/trailofbits/pip-audit) by [trailofbits](https://github.com/trailofbits)  
+pip-audit: Audits Python environments and dependency trees for known vulnerabilities  
+[https://pypi.org/project/pip-audit/](https://pypi.org/project/pip-audit/)  
+[https://github.com/trailofbits/pip-audit](https://github.com/trailofbits/pip-audit)  
+9.66 stars per week over 78 weeks  
+758 stars, 49 forks, 20 watches  
+created 2021-09-02, last commit 2023-02-24, main language Python  
+<sub><sup>pip, python, security, security-audit, supply-chain</sup></sub>
+
+
 ### [safety](https://github.com/pyupio/safety) by [pyupio](https://github.com/pyupio)  
 Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.  
 [https://pyup.io/safety/](https://pyup.io/safety/)  
 [https://github.com/pyupio/safety](https://github.com/pyupio/safety)  
-4.42 stars per week over 320 weeks  
-1,413 stars, 122 forks, 31 watches  
-created 2016-10-19, last commit 2022-11-28, main language Python  
+4.41 stars per week over 332 weeks  
+1,465 stars, 124 forks, 31 watches  
+created 2016-10-19, last commit 2023-02-26, main language Python  
 <sub><sup>python, security, security-vulnerability, travis, vulnerability-detection, vulnerability-scanners</sup></sub>
 
 
-### [pip-audit](https://github.com/trailofbits/pip-audit) by [trailofbits](https://github.com/trailofbits)  
-pip-audit: Audits Python environments and dependency trees for known vulnerabilities  
-[https://pypi.org/project/pip-audit/](https://pypi.org/project/pip-audit/)  
-[https://github.com/trailofbits/pip-audit](https://github.com/trailofbits/pip-audit)  
-10 stars per week over 65 weeks  
-686 stars, 39 forks, 19 watches  
-created 2021-09-02, last commit 2022-12-01, main language Python  
-<sub><sup>pip, python, security, security-audit, supply-chain</sup></sub>
+### [pysnyk](https://github.com/snyk-labs/pysnyk) by [snyk-labs](https://github.com/snyk-labs)  
+pysnyk: A Python client for the Snyk API.  
+[https://snyk.docs.apiary.io/](https://snyk.docs.apiary.io/)  
+[https://github.com/snyk-labs/pysnyk](https://github.com/snyk-labs/pysnyk)  
+0.25 stars per week over 213 weeks  
+53 stars, 95 forks, 10 watches  
+created 2019-02-03, last commit 2023-01-20, main language Python  
+<sub><sup>api, python, snyk</sup></sub>
 
 
 ### [jake](https://github.com/sonatype-nexus-community/jake) by [sonatype-nexus-community](https://github.com/sonatype-nexus-community)  
 jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.  
 [https://jake.readthedocs.io/](https://jake.readthedocs.io/)  
 [https://github.com/sonatype-nexus-community/jake](https://github.com/sonatype-nexus-community/jake)  
-0.45 stars per week over 164 weeks  
-74 stars, 18 forks, 8 watches  
-created 2019-10-10, last commit 2022-12-05, main language Python  
+0.45 stars per week over 177 weeks  
+80 stars, 21 forks, 8 watches  
+created 2019-10-10, last commit 2023-02-22, main language Python  
 <sub><sup>nexus-iq, ossindex, python, sonatype-iq, vulnerabilities, vulnerability-scanners</sup></sub>
 
 
-### [pysnyk](https://github.com/snyk-labs/pysnyk) by [snyk-labs](https://github.com/snyk-labs)  
-pysnyk: A Python client for the Snyk API.  
-[https://snyk.docs.apiary.io/](https://snyk.docs.apiary.io/)  
-[https://github.com/snyk-labs/pysnyk](https://github.com/snyk-labs/pysnyk)  
-0.25 stars per week over 200 weeks  
-50 stars, 89 forks, 10 watches  
-created 2019-02-03, last commit 2022-05-26, main language Python  
-<sub><sup>api, python, snyk</sup></sub>
+### [repository-scanner](https://github.com/abnamro/repository-scanner) by [abnamro](https://github.com/abnamro)  
+repository-scanner: Tool to detect secrets in source code management systems.  
+[https://github.com/abnamro/repository-scanner](https://github.com/abnamro/repository-scanner)  
+2.28 stars per week over 25 weeks  
+58 stars, 3 forks, 6 watches  
+created 2022-09-08, last commit 2023-03-03, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/sim.md b/categories/sim.md
index 39c0b4c..6a4565a 100644
--- a/categories/sim.md
+++ b/categories/sim.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 28 curated sim Python libraries and frameworks ordered by stars.  
+A selection of 36 curated sim Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,57 +9,67 @@ Checkout the interactive version that you can filter and sort:
 gym: A toolkit for developing and comparing reinforcement learning algorithms.  
 [https://www.gymlibrary.dev](https://www.gymlibrary.dev)  
 [https://github.com/openai/gym](https://github.com/openai/gym)  
-84 stars per week over 345 weeks  
-29,220 stars, 8,087 forks, 992 watches  
-created 2016-04-27, last commit 2022-10-25, main language Python  
+84 stars per week over 357 weeks  
+30,229 stars, 8,260 forks, 1,010 watches  
+created 2016-04-27, last commit 2023-01-30, main language Python  
 
 
-### [PythonRobotics](https://github.com/atsushisakai/pythonrobotics) by [atsushisakai](https://github.com/atsushisakai)  
-PythonRobotics: Python sample codes for robotics algorithms.  
-[https://atsushisakai.github.io/PythonRobotics/](https://atsushisakai.github.io/PythonRobotics/)  
-[https://github.com/atsushisakai/pythonrobotics](https://github.com/atsushisakai/pythonrobotics)  
-48 stars per week over 350 weeks  
-16,924 stars, 5,359 forks, 502 watches  
-created 2016-03-21, last commit 2022-12-05, main language Python  
-<sub><sup>algorithm, animation, autonomous-driving, autonomous-navigation, autonomous-vehicles, control, cvxpy, ekf, hacktoberfest, localization, mapping, path-planning, python, robot, robotics, slam</sup></sub>
-
-
-### [ml-agents](https://github.com/unity-technologies/ml-agents) by [unity-technologies](https://github.com/unity-technologies)  
-ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.  
-[https://unity.com/products/machine-learning-agents](https://unity.com/products/machine-learning-agents)  
-[https://github.com/unity-technologies/ml-agents](https://github.com/unity-technologies/ml-agents)  
-50 stars per week over 273 weeks  
-13,737 stars, 3,625 forks, 539 watches  
-created 2017-09-08, last commit 2022-12-05, main language C#  
-<sub><sup>deep-learning, deep-reinforcement-learning, machine-learning, neural-networks, reinforcement-learning, unity, unity3d</sup></sub>
+### [Gymnasium](https://github.com/farama-foundation/gymnasium) by [farama-foundation](https://github.com/farama-foundation)  
+Gymnasium: A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)  
+[https://gymnasium.farama.org](https://gymnasium.farama.org)  
+[https://github.com/farama-foundation/gymnasium](https://github.com/farama-foundation/gymnasium)  
+64 stars per week over 25 weeks  
+1,651 stars, 189 forks, 18 watches  
+created 2022-09-08, last commit 2023-03-03, main language Python  
+<sub><sup>api, gym, reinforcement-learning</sup></sub>
 
 
-### [bullet3](https://github.com/bulletphysics/bullet3) by [bulletphysics](https://github.com/bulletphysics)  
-bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.  
-[http://bulletphysics.org](http://bulletphysics.org)  
-[https://github.com/bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)  
-16 stars per week over 608 weeks  
-10,020 stars, 2,617 forks, 406 watches  
-created 2011-04-12, last commit 2022-09-25, main language C++  
-<sub><sup>computer-animation, game-development, kinematics, pybullet, reinforcement-learning, robotics, simulation, simulator, virtual-reality</sup></sub>
+### [astropy](https://github.com/astropy/astropy)  
+astropy: Astronomy and astrophysics core library  
+[https://www.astropy.org](https://www.astropy.org)  
+[https://github.com/astropy/astropy](https://github.com/astropy/astropy)  
+6.09 stars per week over 606 weeks  
+3,692 stars, 1,570 forks, 137 watches  
+created 2011-07-21, last commit 2023-03-03, main language Python  
+<sub><sup>astronomy, astrophysics, astropy, python, science</sup></sub>
 
 
 ### [Open3D](https://github.com/isl-org/open3d) by [isl-org](https://github.com/isl-org)  
 Open3D: A Modern Library for 3D Data Processing  
 [http://www.open3d.org](http://www.open3d.org)  
 [https://github.com/isl-org/open3d](https://github.com/isl-org/open3d)  
-24 stars per week over 313 weeks  
-7,773 stars, 1,830 forks, 171 watches  
-created 2016-12-02, last commit 2022-12-02, main language C++  
+25 stars per week over 326 weeks  
+8,184 stars, 1,899 forks, 172 watches  
+created 2016-12-02, last commit 2023-03-04, main language C++  
 <sub><sup>3d, 3d-perception, arm, computer-graphics, cpp, cuda, gpu, gui, machine-learning, mesh-processing, odometry, opengl, pointcloud, python, pytorch, reconstruction, registration, rendering, tensorflow, visualization</sup></sub>
 
 
+### [ml-agents](https://github.com/unity-technologies/ml-agents) by [unity-technologies](https://github.com/unity-technologies)  
+ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.  
+[https://unity.com/products/machine-learning-agents](https://unity.com/products/machine-learning-agents)  
+[https://github.com/unity-technologies/ml-agents](https://github.com/unity-technologies/ml-agents)  
+49 stars per week over 286 weeks  
+14,208 stars, 3,738 forks, 548 watches  
+created 2017-09-08, last commit 2023-01-25, main language C#  
+<sub><sup>deep-learning, deep-reinforcement-learning, machine-learning, neural-networks, reinforcement-learning, unity, unity3d</sup></sub>
+
+
+### [PythonRobotics](https://github.com/atsushisakai/pythonrobotics) by [atsushisakai](https://github.com/atsushisakai)  
+PythonRobotics: Python sample codes for robotics algorithms.  
+[https://atsushisakai.github.io/PythonRobotics/](https://atsushisakai.github.io/PythonRobotics/)  
+[https://github.com/atsushisakai/pythonrobotics](https://github.com/atsushisakai/pythonrobotics)  
+48 stars per week over 362 weeks  
+17,654 stars, 5,545 forks, 505 watches  
+created 2016-03-21, last commit 2023-02-21, main language Python  
+<sub><sup>algorithm, animation, autonomous-driving, autonomous-navigation, autonomous-vehicles, control, cvxpy, ekf, hacktoberfest, localization, mapping, path-planning, python, robot, robotics, slam</sup></sub>
+
+
 ### [Cirq](https://github.com/quantumlib/cirq) by [quantumlib](https://github.com/quantumlib)  
 Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.  
 [https://github.com/quantumlib/cirq](https://github.com/quantumlib/cirq)  
-13 stars per week over 259 weeks  
-3,606 stars, 813 forks, 176 watches  
-created 2017-12-14, last commit 2022-11-22, main language Python  
+13 stars per week over 272 weeks  
+3,673 stars, 834 forks, 177 watches  
+created 2017-12-14, last commit 2023-03-03, main language Python  
 <sub><sup>cirq, nisq, quantum-algorithms, quantum-circuits, quantum-computing</sup></sub>
 
 
@@ -67,203 +77,272 @@ created 2017-12-14, last commit 2022-11-22, main language Python
 Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.  
 [https://qiskit.org](https://qiskit.org)  
 [https://github.com/qiskit/qiskit](https://github.com/qiskit/qiskit)  
-13 stars per week over 208 weeks  
-2,805 stars, 759 forks, 97 watches  
-created 2018-12-12, last commit 2022-12-02, main language OpenQASM  
+13 stars per week over 220 weeks  
+2,913 stars, 778 forks, 97 watches  
+created 2018-12-12, last commit 2023-03-02, main language OpenQASM  
 <sub><sup>documentation, qiskit, quantum-computing, quantum-programming-language</sup></sub>
 
 
-### [mujoco-py](https://github.com/openai/mujoco-py) by [openai](https://github.com/openai)  
-mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.  
-[https://github.com/openai/mujoco-py](https://github.com/openai/mujoco-py)  
-6.61 stars per week over 345 weeks  
-2,283 stars, 711 forks, 157 watches  
-created 2016-04-24, last commit 2022-11-17, main language Cython  
+### [bullet3](https://github.com/bulletphysics/bullet3) by [bulletphysics](https://github.com/bulletphysics)  
+bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.  
+[http://bulletphysics.org](http://bulletphysics.org)  
+[https://github.com/bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)  
+16 stars per week over 620 weeks  
+10,303 stars, 2,668 forks, 403 watches  
+created 2011-04-12, last commit 2023-02-24, main language C++  
+<sub><sup>computer-animation, game-development, kinematics, pybullet, reinforcement-learning, robotics, simulation, simulator, virtual-reality</sup></sub>
 
 
-### [mesa](https://github.com/projectmesa/mesa) by [projectmesa](https://github.com/projectmesa)  
-Mesa is an agent-based modeling framework in Python  
-[https://github.com/projectmesa/mesa](https://github.com/projectmesa/mesa)  
-4.14 stars per week over 428 weeks  
-1,774 stars, 756 forks, 90 watches  
-created 2014-09-19, last commit 2022-12-07, main language Python  
-<sub><sup>agent-based-modeling, agent-based-simulation, complex-systems, complexity-analysis, gis, mesa, modeling-agents, simulation, simulation-environment, simulation-framework, spatial-models</sup></sub>
+### [brax](https://github.com/google/brax) by [google](https://github.com/google)  
+brax: Massively parallel rigidbody physics simulation on accelerator hardware.  
+[https://github.com/google/brax](https://github.com/google/brax)  
+16 stars per week over 91 weeks  
+1,552 stars, 162 forks, 37 watches  
+created 2021-06-02, last commit 2023-02-09, main language Jupyter Notebook  
+<sub><sup>jax, physics-simulation, reinforcement-learning, robotics</sup></sub>
 
 
 ### [PettingZoo](https://github.com/pettingzoo-team/pettingzoo) by [pettingzoo-team](https://github.com/pettingzoo-team)  
-PettingZoo: Gymnasium for multi-agent reinforcement learning  
+PettingZoo: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities  
 [https://pettingzoo.farama.org](https://pettingzoo.farama.org)  
 [https://github.com/pettingzoo-team/pettingzoo](https://github.com/pettingzoo-team/pettingzoo)  
-10 stars per week over 150 weeks  
-1,560 stars, 249 forks, 16 watches  
-created 2020-01-20, last commit 2022-11-15, main language Python  
+10 stars per week over 162 weeks  
+1,687 stars, 274 forks, 19 watches  
+created 2020-01-20, last commit 2023-03-04, main language Python  
+<sub><sup>api, gym, gymnasium, multi-agent-reinforcement-learning, reinforcement-learning</sup></sub>
 
 
 ### [QuantEcon.py](https://github.com/quantecon/quantecon.py) by [quantecon](https://github.com/quantecon)  
 QuantEcon.py: A community based Python library for quantitative economics  
 [https://quantecon.org/quantecon-py/](https://quantecon.org/quantecon-py/)  
 [https://github.com/quantecon/quantecon.py](https://github.com/quantecon/quantecon.py)  
-3.08 stars per week over 506 weeks  
-1,560 stars, 2,100 forks, 150 watches  
-created 2013-03-22, last commit 2022-12-04, main language Python  
+3.1 stars per week over 519 weeks  
+1,611 stars, 2,147 forks, 147 watches  
+created 2013-03-22, last commit 2023-02-24, main language Python  
 
 
-### [brax](https://github.com/google/brax) by [google](https://github.com/google)  
-brax: Massively parallel rigidbody physics simulation on accelerator hardware.  
-[https://github.com/google/brax](https://github.com/google/brax)  
-18 stars per week over 79 weeks  
-1,471 stars, 146 forks, 31 watches  
-created 2021-06-02, last commit 2022-10-13, main language Jupyter Notebook  
-<sub><sup>jax, physics-simulation, reinforcement-learning, robotics</sup></sub>
+### [mesa](https://github.com/projectmesa/mesa) by [projectmesa](https://github.com/projectmesa)  
+Mesa is an agent-based modeling framework in Python  
+[https://github.com/projectmesa/mesa](https://github.com/projectmesa/mesa)  
+4.13 stars per week over 441 weeks  
+1,823 stars, 758 forks, 89 watches  
+created 2014-09-19, last commit 2023-02-10, main language Python  
+<sub><sup>agent-based-modeling, agent-based-simulation, complex-systems, complexity-analysis, gis, mesa, modeling-agents, simulation, simulation-environment, simulation-framework, spatial-models</sup></sub>
 
 
-### [ai-economist](https://github.com/salesforce/ai-economist) by [salesforce](https://github.com/salesforce)  
-ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).  
-[https://www.einstein.ai/the-ai-economist](https://www.einstein.ai/the-ai-economist)  
-[https://github.com/salesforce/ai-economist](https://github.com/salesforce/ai-economist)  
-7.2 stars per week over 126 weeks  
-913 stars, 189 forks, 44 watches  
-created 2020-07-02, last commit 2022-05-09, main language Python  
-<sub><sup>ai, deep-reinforcement-learning, economics, ml, multi-agent, multi-agent-reinforcement-learning, python-3, reinforcement-learning-environments, simulation-framework</sup></sub>
+### [graphein](https://github.com/a-r-j/graphein) by [a-r-j](https://github.com/a-r-j)  
+graphein: Protein Graph Library  
+[https://graphein.ai/](https://graphein.ai/)  
+[https://github.com/a-r-j/graphein](https://github.com/a-r-j/graphein)  
+4.11 stars per week over 183 weeks  
+754 stars, 97 forks, 16 watches  
+created 2019-08-28, last commit 2023-02-21, main language Jupyter Notebook  
+<sub><sup>bioinformatics, computational-biology, deep-learning, dgl, drug-discovery, gene-regulatory-networks, geometric-deep-learning, graph-neural-networks, interactome, interactomics, ppi-networks, protein, protein-data-bank, protein-design, protein-structure, python, pytorch, pytorch-geometric, rna, structural-biology</sup></sub>
 
 
 ### [pyscf](https://github.com/pyscf/pyscf)  
 pyscf: Python module for quantum chemistry  
 [https://github.com/pyscf/pyscf](https://github.com/pyscf/pyscf)  
-1.82 stars per week over 448 weeks  
-816 stars, 436 forks, 77 watches  
-created 2014-05-02, last commit 2022-11-29, main language Python  
+1.85 stars per week over 461 weeks  
+854 stars, 459 forks, 76 watches  
+created 2014-05-02, last commit 2023-03-04, main language Python  
+
+
+### [deepmd-kit](https://github.com/deepmodeling/deepmd-kit) by [deepmodeling](https://github.com/deepmodeling)  
+deepmd-kit: A deep learning package for many-body potential energy representation and molecular dynamics  
+[https://docs.deepmodeling.com/projects/deepmd/](https://docs.deepmodeling.com/projects/deepmd/)  
+[https://github.com/deepmodeling/deepmd-kit](https://github.com/deepmodeling/deepmd-kit)  
+3.88 stars per week over 272 weeks  
+1,057 stars, 401 forks, 45 watches  
+created 2017-12-12, last commit 2022-12-19, main language C++  
+<sub><sup>ase, computational-chemistry, cpp, cuda, deep-learning, deepmd, ipi, lammps, materials-science, molecular-dynamics, potential-energy, python, rocm, tensorflow</sup></sub>
 
 
 ### [fairo](https://github.com/facebookresearch/droidlet) by [facebookresearch](https://github.com/facebookresearch)  
 fairo: A modular embodied agent architecture and platform for building embodied agents  
 [https://github.com/facebookresearch/droidlet](https://github.com/facebookresearch/droidlet)  
-7.16 stars per week over 109 weeks  
-783 stars, 80 forks, 38 watches  
-created 2020-11-02, last commit 2022-12-02, main language Jupyter Notebook  
+6.51 stars per week over 121 weeks  
+793 stars, 79 forks, 38 watches  
+created 2020-11-02, last commit 2023-02-01, main language Jupyter Notebook  
+
+
+### [mujoco-py](https://github.com/openai/mujoco-py) by [openai](https://github.com/openai)  
+mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.  
+[https://github.com/openai/mujoco-py](https://github.com/openai/mujoco-py)  
+6.69 stars per week over 358 weeks  
+2,395 stars, 741 forks, 167 watches  
+created 2016-04-24, last commit 2022-11-17, main language Cython  
 
 
 ### [pymunk](https://github.com/viblo/pymunk) by [viblo](https://github.com/viblo)  
 Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python  
 [http://www.pymunk.org](http://www.pymunk.org)  
 [https://github.com/viblo/pymunk](https://github.com/viblo/pymunk)  
-1.52 stars per week over 479 weeks  
-729 stars, 179 forks, 21 watches  
-created 2013-10-02, last commit 2022-12-05, main language Python  
+1.55 stars per week over 491 weeks  
+761 stars, 179 forks, 22 watches  
+created 2013-10-02, last commit 2023-01-29, main language Python  
 <sub><sup>library, physics-2d, physics-engine, physics-simulation, pygame, pyglet, python, python-library</sup></sub>
 
 
-### [Gymnasium](https://github.com/farama-foundation/gymnasium) by [farama-foundation](https://github.com/farama-foundation)  
-Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)  
-[https://gymnasium.farama.org](https://gymnasium.farama.org)  
-[https://github.com/farama-foundation/gymnasium](https://github.com/farama-foundation/gymnasium)  
-43 stars per week over 12 weeks  
-561 stars, 71 forks, 9 watches  
-created 2022-09-08, last commit 2022-12-05, main language Python  
+### [activitysim](https://github.com/activitysim/activitysim)  
+activitysim: An Open Platform for Activity-Based Travel Modeling  
+[https://activitysim.github.io](https://activitysim.github.io)  
+[https://github.com/activitysim/activitysim](https://github.com/activitysim/activitysim)  
+0.33 stars per week over 454 weeks  
+152 stars, 87 forks, 42 watches  
+created 2014-06-18, last commit 2023-01-31, main language Jupyter Notebook  
+<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, python, travel-modeling</sup></sub>
+
+
+### [espresso](https://github.com/espressomd/espresso) by [espressomd](https://github.com/espressomd)  
+espresso: The ESPResSo package  
+[https://espressomd.org](https://espressomd.org)  
+[https://github.com/espressomd/espresso](https://github.com/espressomd/espresso)  
+0.29 stars per week over 623 weeks  
+181 stars, 170 forks, 20 watches  
+created 2011-03-25, last commit 2023-03-02, main language C++  
+<sub><sup>c-plus-plus, lattice-boltzmann, molecular-dynamics, physics, python, scientific-computing, soft-matter</sup></sub>
+
+
+### [openfisca-core](https://github.com/openfisca/openfisca-core) by [openfisca](https://github.com/openfisca)  
+openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.  
+[https://openfisca.org](https://openfisca.org)  
+[https://github.com/openfisca/openfisca-core](https://github.com/openfisca/openfisca-core)  
+0.29 stars per week over 479 weeks  
+139 stars, 70 forks, 24 watches  
+created 2013-12-29, last commit 2023-01-24, main language Python  
+<sub><sup>better-rules, legislation-as-code, microsimulation, rules-as-code</sup></sub>
+
+
+### [PokerPy](https://github.com/glpcc/pokerpy) by [glpcc](https://github.com/glpcc)  
+PokerPy: Texas Hold'em Poker Probability Calculator in Python  
+[https://github.com/glpcc/pokerpy](https://github.com/glpcc/pokerpy)  
+3.42 stars per week over 12 weeks  
+41 stars, 4 forks, 1 watches  
+created 2022-12-11, last commit 2023-02-10, main language C++  
+<sub><sup>cpp, fast, performance, poker, pybind11, python, texas-holdem</sup></sub>
+
+
+### [ai-economist](https://github.com/salesforce/ai-economist) by [salesforce](https://github.com/salesforce)  
+ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).  
+[https://www.einstein.ai/the-ai-economist](https://www.einstein.ai/the-ai-economist)  
+[https://github.com/salesforce/ai-economist](https://github.com/salesforce/ai-economist)  
+6.81 stars per week over 139 weeks  
+949 stars, 194 forks, 46 watches  
+created 2020-07-02, last commit 2022-05-09, main language Python  
+<sub><sup>ai, deep-reinforcement-learning, economics, ml, multi-agent, multi-agent-reinforcement-learning, python-3, reinforcement-learning-environments, simulation-framework</sup></sub>
+
+
+### [urbansim](https://github.com/udst/urbansim) by [udst](https://github.com/udst)  
+urbansim: Platform for building statistical models of cities and regions  
+[https://udst.github.io/urbansim/](https://udst.github.io/urbansim/)  
+[https://github.com/udst/urbansim](https://github.com/udst/urbansim)  
+0.85 stars per week over 498 weeks  
+423 stars, 125 forks, 78 watches  
+created 2013-08-15, last commit 2020-05-11, main language Python  
+
+
+### [golly](https://github.com/alephalpha/golly) by [alephalpha](https://github.com/alephalpha)  
+Golly, a Game of Life simulator (unofficial mirror from SourceForge)  
+[http://sourceforge.net/projects/golly/](http://sourceforge.net/projects/golly/)  
+[https://github.com/alephalpha/golly](https://github.com/alephalpha/golly)  
+0.12 stars per week over 242 weeks  
+29 stars, 9 forks, 5 watches  
+created 2018-07-10, last commit 2023-02-25, main language C++  
+<sub><sup>cellular-automata, game-of-life</sup></sub>
 
 
 ### [pynamical](https://github.com/gboeing/pynamical) by [gboeing](https://github.com/gboeing)  
 Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.  
 [https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/](https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/)  
 [https://github.com/gboeing/pynamical](https://github.com/gboeing/pynamical)  
-1.29 stars per week over 427 weeks  
-550 stars, 107 forks, 32 watches  
+1.29 stars per week over 440 weeks  
+567 stars, 109 forks, 31 watches  
 created 2014-09-28, last commit 2022-05-24, main language Python  
 <sub><sup>animation, bifurcation-diagram, chaos, cobweb-plot, fractal, fractals, ipynb, logistic, math, matplotlib, modeling, nonlinear, numba, numpy, pandas, phase-diagram, physics, python, systems, visualization</sup></sub>
 
 
-### [urbansim](https://github.com/udst/urbansim) by [udst](https://github.com/udst)  
-urbansim: Platform for building statistical models of cities and regions  
-[https://udst.github.io/urbansim/](https://udst.github.io/urbansim/)  
-[https://github.com/udst/urbansim](https://github.com/udst/urbansim)  
-0.86 stars per week over 485 weeks  
-419 stars, 124 forks, 78 watches  
-created 2013-08-15, last commit 2020-05-11, main language Python  
+### [populationsim](https://github.com/activitysim/populationsim) by [activitysim](https://github.com/activitysim)  
+populationsim: An Open Platform for Population Synthesis  
+[https://activitysim.github.io/populationsim](https://activitysim.github.io/populationsim)  
+[https://github.com/activitysim/populationsim](https://github.com/activitysim/populationsim)  
+0.13 stars per week over 315 weeks  
+40 stars, 28 forks, 11 watches  
+created 2017-02-14, last commit 2021-11-19, main language Jupyter Notebook  
+<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, population-synthesis, python</sup></sub>
+
+
+### [stochastic](https://github.com/crflynn/stochastic) by [crflynn](https://github.com/crflynn)  
+stochastic: Generate realizations of stochastic processes in python.  
+[http://stochastic.readthedocs.io/en/stable/](http://stochastic.readthedocs.io/en/stable/)  
+[https://github.com/crflynn/stochastic](https://github.com/crflynn/stochastic)  
+1.05 stars per week over 315 weeks  
+332 stars, 64 forks, 15 watches  
+created 2017-02-17, last commit 2022-07-12, main language Python  
+<sub><sup>probability, stochastic, stochastic-differential-equations, stochastic-processes, stochastic-simulation-algorithm, stochastic-volatility-models</sup></sub>
 
 
 ### [trafficSimulator](https://github.com/bilhim/trafficsimulator) by [bilhim](https://github.com/bilhim)  
 bilhim/trafficsimulator  
 [https://github.com/bilhim/trafficsimulator](https://github.com/bilhim/trafficsimulator)  
-3.1 stars per week over 65 weeks  
-203 stars, 77 forks, 13 watches  
+2.85 stars per week over 78 weeks  
+222 stars, 83 forks, 16 watches  
 created 2021-09-05, last commit 2021-09-07, main language Python  
 
 
 ### [GameGAN_code](https://github.com/nv-tlabs/gamegan_code) by [nv-tlabs](https://github.com/nv-tlabs)  
 GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)  
 [https://github.com/nv-tlabs/gamegan_code](https://github.com/nv-tlabs/gamegan_code)  
-1.9 stars per week over 103 weeks  
-197 stars, 32 forks, 9 watches  
+1.77 stars per week over 116 weeks  
+206 stars, 35 forks, 10 watches  
 created 2020-12-11, last commit 2021-11-11, main language Python  
 
 
-### [activitysim](https://github.com/activitysim/activitysim)  
-activitysim: An Open Platform for Activity-Based Travel Modeling  
-[https://activitysim.github.io](https://activitysim.github.io)  
-[https://github.com/activitysim/activitysim](https://github.com/activitysim/activitysim)  
-0.32 stars per week over 442 weeks  
-143 stars, 86 forks, 42 watches  
-created 2014-06-18, last commit 2022-09-14, main language Jupyter Notebook  
-<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, python, travel-modeling</sup></sub>
-
-
-### [openfisca-core](https://github.com/openfisca/openfisca-core) by [openfisca](https://github.com/openfisca)  
-openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.  
-[https://openfisca.org](https://openfisca.org)  
-[https://github.com/openfisca/openfisca-core](https://github.com/openfisca/openfisca-core)  
-0.28 stars per week over 466 weeks  
-131 stars, 72 forks, 24 watches  
-created 2013-12-29, last commit 2022-12-01, main language Python  
-<sub><sup>better-rules, legislation-as-code, microsimulation, rules-as-code</sup></sub>
-
-
 ### [socialways](https://github.com/crowdbotp/socialways) by [crowdbotp](https://github.com/crowdbotp)  
 socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)  
 [https://github.com/crowdbotp/socialways](https://github.com/crowdbotp/socialways)  
-0.58 stars per week over 189 weeks  
-109 stars, 45 forks, 9 watches  
+0.55 stars per week over 201 weeks  
+111 stars, 45 forks, 9 watches  
 created 2019-04-23, last commit 2020-03-20, main language Python  
 <sub><sup>crowd-simulation, gan, generative-adversarial-network, human-trajectory-prediction, info-gan, pedestrian, pedestrian-trajectories, prediction-model, self-driving-car, social-gan, social-navigation, social-robots, social-ways, trajectory-forecasting, trajectory-prediction</sup></sub>
 
 
-### [street-network-models](https://github.com/gboeing/street-network-models) by [gboeing](https://github.com/gboeing)  
-street-network-models: Street network models and indicators for every urban area in the world  
-[https://osf.io/f2dqc](https://osf.io/f2dqc)  
-[https://github.com/gboeing/street-network-models](https://github.com/gboeing/street-network-models)  
-0.45 stars per week over 138 weeks  
-62 stars, 4 forks, 2 watches  
-created 2020-04-13, last commit 2021-03-05, main language Python  
-
-
-### [populationsim](https://github.com/activitysim/populationsim) by [activitysim](https://github.com/activitysim)  
-populationsim: An Open Platform for Population Synthesis  
-[https://activitysim.github.io/populationsim](https://activitysim.github.io/populationsim)  
-[https://github.com/activitysim/populationsim](https://github.com/activitysim/populationsim)  
-0.12 stars per week over 303 weeks  
-37 stars, 27 forks, 11 watches  
-created 2017-02-14, last commit 2021-11-19, main language Jupyter Notebook  
-<sub><sup>activitysim, bsd-3-clause, data-science, microsimulation, population-synthesis, python</sup></sub>
-
-
 ### [crowddynamics](https://github.com/crowddynamics/crowddynamics)  
 crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.  
 [https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/](https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/)  
 [https://github.com/crowddynamics/crowddynamics](https://github.com/crowddynamics/crowddynamics)  
-0.07 stars per week over 350 weeks  
-26 stars, 9 forks, 9 watches  
+0.08 stars per week over 362 weeks  
+28 stars, 9 forks, 9 watches  
 created 2016-03-22, last commit 2020-01-02, main language Python  
 <sub><sup>continuous-time, crowd-dynamics, crowd-simulation, multi-agent</sup></sub>
 
 
+### [street-network-models](https://github.com/gboeing/street-network-models) by [gboeing](https://github.com/gboeing)  
+street-network-models: Street network models and indicators for every urban area in the world  
+[https://osf.io/f2dqc](https://osf.io/f2dqc)  
+[https://github.com/gboeing/street-network-models](https://github.com/gboeing/street-network-models)  
+0.42 stars per week over 150 weeks  
+64 stars, 4 forks, 2 watches  
+created 2020-04-13, last commit 2021-03-05, main language Python  
+
+
 ### [dynpy](https://github.com/artemyk/dynpy) by [artemyk](https://github.com/artemyk)  
 dynpy: Dynamical systems for Python  
 [https://github.com/artemyk/dynpy](https://github.com/artemyk/dynpy)  
-0.01 stars per week over 429 weeks  
-5 stars, 5 forks, 3 watches  
+0.01 stars per week over 442 weeks  
+6 stars, 5 forks, 3 watches  
 created 2014-09-12, last commit 2018-09-28, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+### [Lenia-Tutorial](https://github.com/openlenia/lenia-tutorial) by [openlenia](https://github.com/openlenia)  
+openlenia/lenia-tutorial  
+[https://github.com/openlenia/lenia-tutorial](https://github.com/openlenia/lenia-tutorial)  
+0.27 stars per week over 85 weeks  
+23 stars, 2 forks, 2 watches  
+created 2021-07-15, last commit 2021-07-26, main language Jupyter Notebook  
+
+
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/study.md b/categories/study.md
index 6ff4a55..e264377 100644
--- a/categories/study.md
+++ b/categories/study.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 26 curated study Python libraries and frameworks ordered by stars.  
+A selection of 30 curated study Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,114 +9,187 @@ Checkout the interactive version that you can filter and sort:
 Python: All Algorithms implemented in Python  
 [https://the-algorithms.com/](https://the-algorithms.com/)  
 [https://github.com/thealgorithms/python](https://github.com/thealgorithms/python)  
-448 stars per week over 333 weeks  
-149,666 stars, 38,442 forks, 5,936 watches  
-created 2016-07-16, last commit 2022-12-05, main language Python  
+446 stars per week over 346 weeks  
+154,597 stars, 39,224 forks, 5,966 watches  
+created 2016-07-16, last commit 2023-03-02, main language Python  
 <sub><sup>algorithm, algorithm-competitions, algorithms-implemented, algos, community-driven, education, hacktoberfest, interview, learn, practice, python, searches, sorting-algorithms, sorts</sup></sub>
 
 
+### [diffusion-models-class](https://github.com/huggingface/diffusion-models-class) by [huggingface](https://github.com/huggingface)  
+diffusion-models-class: Materials for the Hugging Face Diffusion Models Course  
+[https://github.com/huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class)  
+94 stars per week over 20 weeks  
+1,937 stars, 175 forks, 72 watches  
+created 2022-10-13, last commit 2023-02-21, main language Jupyter Notebook  
+
+
+### [deep-rl-class](https://github.com/huggingface/deep-rl-class) by [huggingface](https://github.com/huggingface)  
+deep-rl-class: This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.  
+[https://github.com/huggingface/deep-rl-class](https://github.com/huggingface/deep-rl-class)  
+59 stars per week over 45 weeks  
+2,694 stars, 355 forks, 85 watches  
+created 2022-04-21, last commit 2023-03-02, main language Jupyter Notebook  
+<sub><sup>deep-learning, deep-reinforcement-learning, reinforcement-learning, reinforcement-learning-excercises</sup></sub>
+
+
+### [notebooks](https://github.com/roboflow/notebooks) by [roboflow](https://github.com/roboflow)  
+notebooks: Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.  
+[https://roboflow.com/models](https://roboflow.com/models)  
+[https://github.com/roboflow/notebooks](https://github.com/roboflow/notebooks)  
+55 stars per week over 15 weeks  
+841 stars, 130 forks, 23 watches  
+created 2022-11-18, last commit 2023-03-03, main language Jupyter Notebook  
+<sub><sup>amazon-sagemaker-lab, computer-vision, deep-learning, deep-neural-networks, google-colab, image-classification, image-segmentation, kaggle, machine-learning, object-detection, pytorch, tutorial, yolov5, yolov6, yolov7, yolov8</sup></sub>
+
+
 ### [PythonDataScienceHandbook](https://github.com/jakevdp/pythondatasciencehandbook) by [jakevdp](https://github.com/jakevdp)  
 PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks  
 [http://jakevdp.github.io/PythonDataScienceHandbook](http://jakevdp.github.io/PythonDataScienceHandbook)  
 [https://github.com/jakevdp/pythondatasciencehandbook](https://github.com/jakevdp/pythondatasciencehandbook)  
-111 stars per week over 330 weeks  
-36,745 stars, 16,232 forks, 1,768 watches  
+109 stars per week over 342 weeks  
+37,652 stars, 16,606 forks, 1,775 watches  
 created 2016-08-10, last commit 2018-11-30, main language Jupyter Notebook  
 <sub><sup>jupyter-notebook, matplotlib, numpy, pandas, python, scikit-learn</sup></sub>
 
 
+### [nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero) by [karpathy](https://github.com/karpathy)  
+nn-zero-to-hero: Neural Networks: Zero to Hero  
+[https://github.com/karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)  
+290 stars per week over 25 weeks  
+7,393 stars, 685 forks, 240 watches  
+created 2022-09-08, last commit 2023-01-17, main language Jupyter Notebook  
+
+
+### [fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices) by [zhanymkanov](https://github.com/zhanymkanov)  
+fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me  
+[https://github.com/zhanymkanov/fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices)  
+91 stars per week over 29 weeks  
+2,721 stars, 198 forks, 52 watches  
+created 2022-08-09, last commit 2023-01-09, main language None  
+<sub><sup>best-practices, fastapi</sup></sub>
+
+
+### [deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks) by [fchollet](https://github.com/fchollet)  
+deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"  
+[https://github.com/fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)  
+57 stars per week over 286 weeks  
+16,498 stars, 8,043 forks, 642 watches  
+created 2017-09-05, last commit 2023-02-13, main language Jupyter Notebook  
+
+
+### [Transformers-Tutorials](https://github.com/nielsrogge/transformers-tutorials) by [nielsrogge](https://github.com/nielsrogge)  
+Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.  
+[https://github.com/nielsrogge/transformers-tutorials](https://github.com/nielsrogge/transformers-tutorials)  
+29 stars per week over 130 weeks  
+3,834 stars, 607 forks, 86 watches  
+created 2020-08-31, last commit 2023-02-28, main language Jupyter Notebook  
+<sub><sup>bert, gpt-2, layoutlm, pytorch, transformers, vision-transformer</sup></sub>
+
+
 ### [pydata-book](https://github.com/wesm/pydata-book) by [wesm](https://github.com/wesm)  
 pydata-book: Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media  
 [https://github.com/wesm/pydata-book](https://github.com/wesm/pydata-book)  
-33 stars per week over 544 weeks  
-18,470 stars, 13,769 forks, 1,453 watches  
+34 stars per week over 557 weeks  
+18,959 stars, 14,016 forks, 1,470 watches  
 created 2012-06-30, last commit 2022-11-03, main language Jupyter Notebook  
 
 
-### [deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks) by [fchollet](https://github.com/fchollet)  
-deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"  
-[https://github.com/fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)  
-58 stars per week over 274 weeks  
-16,123 stars, 7,893 forks, 647 watches  
-created 2017-09-05, last commit 2022-02-10, main language Jupyter Notebook  
+### [machine-learning-book](https://github.com/rasbt/machine-learning-book) by [rasbt](https://github.com/rasbt)  
+machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn  
+[https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn](https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn)  
+[https://github.com/rasbt/machine-learning-book](https://github.com/rasbt/machine-learning-book)  
+25 stars per week over 63 weeks  
+1,628 stars, 613 forks, 31 watches  
+created 2021-12-19, last commit 2023-02-02, main language Jupyter Notebook  
+<sub><sup>deep-learning, machine-learning, neural-networks, pytorch, scikit-learn</sup></sub>
 
 
-### [industry-machine-learning](https://github.com/firmai/industry-machine-learning) by [firmai](https://github.com/firmai)  
-industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)  
-[https://www.linkedin.com/company/firmai](https://www.linkedin.com/company/firmai)  
-[https://github.com/firmai/industry-machine-learning](https://github.com/firmai/industry-machine-learning)  
-35 stars per week over 187 weeks  
-6,646 stars, 1,120 forks, 392 watches  
-created 2019-05-03, last commit 2021-12-18, main language Jupyter Notebook  
-<sub><sup>data-science, datascience, example, firmai, jupyter-notebook, machine-learning, practical-machine-learning, python</sup></sub>
+### [spinningup](https://github.com/openai/spinningup) by [openai](https://github.com/openai)  
+spinningup: An educational resource to help anyone learn deep reinforcement learning.  
+[https://spinningup.openai.com/](https://spinningup.openai.com/)  
+[https://github.com/openai/spinningup](https://github.com/openai/spinningup)  
+35 stars per week over 225 weeks  
+7,937 stars, 1,850 forks, 216 watches  
+created 2018-11-07, last commit 2020-02-07, main language Python  
 
 
 ### [deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch) by [udacity](https://github.com/udacity)  
 deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101  
 [https://github.com/udacity/deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)  
-21 stars per week over 222 weeks  
-4,781 stars, 5,167 forks, 172 watches  
-created 2018-09-04, last commit 2022-10-03, main language Jupyter Notebook  
+20 stars per week over 234 weeks  
+4,861 stars, 5,222 forks, 174 watches  
+created 2018-09-04, last commit 2022-12-24, main language Jupyter Notebook  
 <sub><sup>convolutional-networks, deep-learning, neural-network, pytorch, recurrent-networks, sentiment-analysis, style-transfer</sup></sub>
 
 
-### [nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero) by [karpathy](https://github.com/karpathy)  
-nn-zero-to-hero: Neural Networks: Zero to Hero  
-[https://github.com/karpathy/nn-zero-to-hero](https://github.com/karpathy/nn-zero-to-hero)  
-288 stars per week over 12 weeks  
-3,708 stars, 252 forks, 151 watches  
-created 2022-09-08, last commit 2022-11-21, main language Jupyter Notebook  
+### [machine-learning-interviews](https://github.com/alirezadir/machine-learning-interview-enlightener) by [alirezadir](https://github.com/alirezadir)  
+machine-learning-interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews.   
+[https://github.com/alirezadir/machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener)  
+16 stars per week over 109 weeks  
+1,765 stars, 354 forks, 48 watches  
+created 2021-01-31, last commit 2023-03-01, main language Jupyter Notebook  
+<sub><sup>ai, deep-learning, interview, interview-practice, interview-preparation, interviews, machine-learning, machine-learning-algorithms, scalable-applications, system-design</sup></sub>
 
 
-### [Transformers-Tutorials](https://github.com/nielsrogge/transformers-tutorials) by [nielsrogge](https://github.com/nielsrogge)  
-Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.  
-[https://github.com/nielsrogge/transformers-tutorials](https://github.com/nielsrogge/transformers-tutorials)  
-28 stars per week over 118 weeks  
-3,414 stars, 505 forks, 76 watches  
-created 2020-08-31, last commit 2022-11-25, main language Jupyter Notebook  
-<sub><sup>bert, gpt-2, layoutlm, pytorch, transformers, vision-transformer</sup></sub>
+### [industry-machine-learning](https://github.com/firmai/industry-machine-learning) by [firmai](https://github.com/firmai)  
+industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)  
+[https://www.linkedin.com/company/firmai](https://www.linkedin.com/company/firmai)  
+[https://github.com/firmai/industry-machine-learning](https://github.com/firmai/industry-machine-learning)  
+33 stars per week over 200 weeks  
+6,736 stars, 1,124 forks, 392 watches  
+created 2019-05-03, last commit 2021-12-18, main language Jupyter Notebook  
+<sub><sup>data-science, datascience, example, firmai, jupyter-notebook, machine-learning, practical-machine-learning, python</sup></sub>
+
+
+### [book](https://github.com/cosmicpython/book) by [cosmicpython](https://github.com/cosmicpython)  
+book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.  
+[https://www.cosmicpython.com](https://www.cosmicpython.com)  
+[https://github.com/cosmicpython/book](https://github.com/cosmicpython/book)  
+13 stars per week over 212 weeks  
+2,873 stars, 490 forks, 94 watches  
+created 2019-02-05, last commit 2023-02-06, main language Python  
 
 
 ### [micrograd](https://github.com/karpathy/micrograd) by [karpathy](https://github.com/karpathy)  
 micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API  
 [https://github.com/karpathy/micrograd](https://github.com/karpathy/micrograd)  
-24 stars per week over 138 weeks  
-3,360 stars, 299 forks, 79 watches  
+27 stars per week over 150 weeks  
+4,218 stars, 460 forks, 93 watches  
 created 2020-04-13, last commit 2020-04-18, main language Jupyter Notebook  
 
 
-### [book](https://github.com/cosmicpython/book) by [cosmicpython](https://github.com/cosmicpython)  
-book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.  
-[https://www.cosmicpython.com](https://www.cosmicpython.com)  
-[https://github.com/cosmicpython/book](https://github.com/cosmicpython/book)  
-13 stars per week over 200 weeks  
-2,789 stars, 480 forks, 92 watches  
-created 2019-02-05, last commit 2022-10-03, main language Python  
+### [pyroad](https://github.com/amaargiru/pyroad) by [amaargiru](https://github.com/amaargiru)  
+pyroad: Detailed Python developer roadmap  
+[https://github.com/amaargiru/pyroad](https://github.com/amaargiru/pyroad)  
+14 stars per week over 17 weeks  
+248 stars, 27 forks, 5 watches  
+created 2022-11-03, last commit 2023-02-27, main language Jupyter Notebook  
+<sub><sup>python, roadmap, tutorial</sup></sub>
 
 
-### [deep-rl-class](https://github.com/huggingface/deep-rl-class) by [huggingface](https://github.com/huggingface)  
-deep-rl-class: This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.  
-[https://github.com/huggingface/deep-rl-class](https://github.com/huggingface/deep-rl-class)  
-70 stars per week over 32 weeks  
-2,300 stars, 263 forks, 93 watches  
-created 2022-04-21, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>deep-learning, deep-reinforcement-learning, reinforcement-learning, reinforcement-learning-excercises</sup></sub>
+### [BookCode_Edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1) by [bayesianmodelingandcomputationinpython](https://github.com/bayesianmodelingandcomputationinpython)  
+bayesianmodelingandcomputationinpython/bookcode_edition1  
+[https://www.bayesiancomputationbook.com](https://www.bayesiancomputationbook.com)  
+[https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1)  
+4.73 stars per week over 80 weeks  
+382 stars, 93 forks, 18 watches  
+created 2021-08-17, last commit 2023-01-09, main language Jupyter Notebook  
 
 
-### [fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices) by [zhanymkanov](https://github.com/zhanymkanov)  
-fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me  
-[https://github.com/zhanymkanov/fastapi-best-practices](https://github.com/zhanymkanov/fastapi-best-practices)  
-114 stars per week over 17 weeks  
-1,962 stars, 127 forks, 35 watches  
-created 2022-08-09, last commit 2022-09-16, main language None  
-<sub><sup>best-practices, fastapi</sup></sub>
+### [MEDIUM_NoteBook](https://github.com/cerlymarco/medium_notebook) by [cerlymarco](https://github.com/cerlymarco)  
+MEDIUM_NoteBook: Repository containing notebooks of my posts on Medium  
+[https://github.com/cerlymarco/medium_notebook](https://github.com/cerlymarco/medium_notebook)  
+8.61 stars per week over 201 weeks  
+1,738 stars, 910 forks, 97 watches  
+created 2019-04-22, last commit 2023-02-22, main language Jupyter Notebook  
+<sub><sup>artificial-intelligence, data-science, deep-learning, machine-learning, notebooks</sup></sub>
 
 
 ### [coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization) by [amanchadha](https://github.com/amanchadha)  
 coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models  
 [https://github.com/amanchadha/coursera-deep-learning-specialization](https://github.com/amanchadha/coursera-deep-learning-specialization)  
-12 stars per week over 128 weeks  
-1,634 stars, 1,442 forks, 16 watches  
+12 stars per week over 140 weeks  
+1,794 stars, 1,564 forks, 17 watches  
 created 2020-06-24, last commit 2022-02-07, main language Jupyter Notebook  
 <sub><sup>andrew-ng, andrew-ng-course, cnns, convolutional-neural-network, convolutional-neural-networks, coursera, coursera-assignment, coursera-machine-learning, coursera-specialization, deep-learning, hyperparameter-optimization, hyperparameter-tuning, neural-machine-translation, neural-network, neural-networks, neural-style-transfer, recurrent-neural-network, recurrent-neural-networks, regularization, rnns</sup></sub>
 
@@ -125,120 +198,83 @@ created 2020-06-24, last commit 2022-02-07, main language Jupyter Notebook
 example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022)   
 [https://amzn.to/3J48u2J](https://amzn.to/3J48u2J)  
 [https://github.com/fluentpython/example-code-2e](https://github.com/fluentpython/example-code-2e)  
-8.08 stars per week over 193 weeks  
-1,566 stars, 458 forks, 52 watches  
+8.45 stars per week over 206 weeks  
+1,745 stars, 525 forks, 54 watches  
 created 2019-03-21, last commit 2022-04-24, main language Python  
 <sub><sup>concurrency, iterators, metaprogramming, python, python3, special-methods</sup></sub>
 
 
-### [machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener) by [alirezadir](https://github.com/alirezadir)  
-machine-learning-interview-enlightener: This repo is meant to serve as a guide for Machine Learning/AI technical interviews.   
-[https://github.com/alirezadir/machine-learning-interview-enlightener](https://github.com/alirezadir/machine-learning-interview-enlightener)  
-16 stars per week over 96 weeks  
-1,557 stars, 327 forks, 47 watches  
-created 2021-01-31, last commit 2022-05-25, main language Jupyter Notebook  
-<sub><sup>ai, deep-learning, interview, interview-practice, interview-preparation, interviews, machine-learning, machine-learning-algorithms, scalable-applications, system-design</sup></sub>
-
-
-### [machine-learning-book](https://github.com/rasbt/machine-learning-book) by [rasbt](https://github.com/rasbt)  
-machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn  
-[https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn](https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn)  
-[https://github.com/rasbt/machine-learning-book](https://github.com/rasbt/machine-learning-book)  
-25 stars per week over 50 weeks  
-1,310 stars, 482 forks, 26 watches  
-created 2021-12-19, last commit 2022-11-30, main language Jupyter Notebook  
-<sub><sup>deep-learning, machine-learning, neural-networks, pytorch, scikit-learn</sup></sub>
-
-
-### [diffusion-models-class](https://github.com/huggingface/diffusion-models-class) by [huggingface](https://github.com/huggingface)  
-diffusion-models-class: Materials for the Hugging Face Diffusion Models Course  
-[https://github.com/huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class)  
-134 stars per week over 7 weeks  
-1,059 stars, 75 forks, 64 watches  
-created 2022-10-13, last commit 2022-12-05, main language Jupyter Notebook  
+### [practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book) by [googlecloudplatform](https://github.com/googlecloudplatform)  
+googlecloudplatform/practical-ml-vision-book  
+[https://github.com/googlecloudplatform/practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book)  
+2.73 stars per week over 119 weeks  
+326 stars, 147 forks, 19 watches  
+created 2020-11-18, last commit 2022-11-21, main language Jupyter Notebook  
 
 
 ### [quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook) by [jackhidary](https://github.com/jackhidary)  
 quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach  
 [https://github.com/jackhidary/quantumcomputingbook](https://github.com/jackhidary/quantumcomputingbook)  
-3.1 stars per week over 196 weeks  
-611 stars, 186 forks, 54 watches  
+3.04 stars per week over 209 weeks  
+636 stars, 188 forks, 55 watches  
 created 2019-02-28, last commit 2021-10-14, main language Jupyter Notebook  
 <sub><sup>cirq, google-quantum, qiskit, quantum, quantum-computing, quantum-information, quantum-information-science, quantum-processor, quantum-supremacy, rigetti, sycamore</sup></sub>
 
 
+### [high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e) by [mynameisfiber](https://github.com/mynameisfiber)  
+high_performance_python_2e: Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly   
+[https://github.com/mynameisfiber/high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e)  
+2.03 stars per week over 151 weeks  
+306 stars, 100 forks, 6 watches  
+created 2020-04-12, last commit 2023-01-18, main language Python  
+<sub><sup>code-samples, high-performance, oreilly, oreilly-books, python</sup></sub>
+
+
+### [crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python) by [dylanhogg](https://github.com/dylanhogg)  
+crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning  
+[https://www.awesomepython.org/](https://www.awesomepython.org/)  
+[https://github.com/dylanhogg/crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python)  
+0.38 stars per week over 141 weeks  
+53 stars, 8 forks, 3 watches  
+created 2020-06-20, last commit 2023-03-03, main language HTML  
+<sub><sup>awesome-list, data, machine-learning, natural-language-processing, python, python-data, python-frameworks, python-library, python-machine-learning, python-nlp</sup></sub>
+
+
 ### [stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20) by [rasbt](https://github.com/rasbt)  
 stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)  
 [http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/](http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/)  
 [https://github.com/rasbt/stat453-deep-learning-ss20](https://github.com/rasbt/stat453-deep-learning-ss20)  
-3.45 stars per week over 150 weeks  
-518 stars, 148 forks, 36 watches  
+3.21 stars per week over 162 weeks  
+523 stars, 154 forks, 36 watches  
 created 2020-01-20, last commit 2020-05-01, main language Jupyter Notebook  
 
 
 ### [stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20) by [rasbt](https://github.com/rasbt)  
 stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)  
 [https://github.com/rasbt/stat451-machine-learning-fs20](https://github.com/rasbt/stat451-machine-learning-fs20)  
-2.68 stars per week over 121 weeks  
-326 stars, 177 forks, 18 watches  
+2.55 stars per week over 134 weeks  
+343 stars, 180 forks, 18 watches  
 created 2020-08-06, last commit 2020-12-03, main language Jupyter Notebook  
 
 
-### [BookCode_Edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1) by [bayesianmodelingandcomputationinpython](https://github.com/bayesianmodelingandcomputationinpython)  
-bayesianmodelingandcomputationinpython/bookcode_edition1  
-[https://www.bayesiancomputationbook.com](https://www.bayesiancomputationbook.com)  
-[https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1](https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1)  
-4.75 stars per week over 68 weeks  
-324 stars, 75 forks, 13 watches  
-created 2021-08-17, last commit 2022-09-20, main language Jupyter Notebook  
-
-
-### [practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book) by [googlecloudplatform](https://github.com/googlecloudplatform)  
-googlecloudplatform/practical-ml-vision-book  
-[https://github.com/googlecloudplatform/practical-ml-vision-book](https://github.com/googlecloudplatform/practical-ml-vision-book)  
-2.8 stars per week over 107 weeks  
-300 stars, 137 forks, 18 watches  
-created 2020-11-18, last commit 2022-11-21, main language Jupyter Notebook  
-
-
-### [high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e) by [mynameisfiber](https://github.com/mynameisfiber)  
-high_performance_python_2e: Code for the book "High Performance Python 2e" by Micha Gorelick and Ian Ozsvald with OReilly   
-[https://github.com/mynameisfiber/high_performance_python_2e](https://github.com/mynameisfiber/high_performance_python_2e)  
-2.08 stars per week over 138 weeks  
-288 stars, 89 forks, 6 watches  
-created 2020-04-12, last commit 2021-01-15, main language Python  
-<sub><sup>code-samples, high-performance, oreilly, oreilly-books, python</sup></sub>
-
-
-### [pyroad](https://github.com/amaargiru/pyroad) by [amaargiru](https://github.com/amaargiru)  
-pyroad: Detailed Python developer roadmap  
-[https://github.com/amaargiru/pyroad](https://github.com/amaargiru/pyroad)  
-40 stars per week over 4 weeks  
-199 stars, 25 forks, 5 watches  
-created 2022-11-03, last commit 2022-11-29, main language Jupyter Notebook  
-<sub><sup>python, roadmap, tutorial</sup></sub>
-
-
 ### [calm-notebooks](https://github.com/koaning/calm-notebooks) by [koaning](https://github.com/koaning)  
 calm-notebooks: notebooks that are used at calmcode.io  
 [https://calmcode.io](https://calmcode.io)  
 [https://github.com/koaning/calm-notebooks](https://github.com/koaning/calm-notebooks)  
-1.09 stars per week over 144 weeks  
-157 stars, 133 forks, 7 watches  
+1.1 stars per week over 157 weeks  
+172 stars, 148 forks, 7 watches  
 created 2020-03-01, last commit 2021-10-21, main language Jupyter Notebook  
 
 
-### [crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python) by [dylanhogg](https://github.com/dylanhogg)  
-crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning  
-[https://www.awesomepython.org/](https://www.awesomepython.org/)  
-[https://github.com/dylanhogg/crazy-awesome-python](https://github.com/dylanhogg/crazy-awesome-python)  
-0.36 stars per week over 128 weeks  
-46 stars, 8 forks, 3 watches  
-created 2020-06-20, last commit 2022-11-26, main language HTML  
-<sub><sup>awesome-list, data, machine-learning, natural-language-processing, python, python-data, python-frameworks, python-library, python-machine-learning, python-nlp</sup></sub>
+### [rl-course](https://github.com/anyscale/rl-course) by [anyscale](https://github.com/anyscale)  
+anyscale/rl-course  
+[https://github.com/anyscale/rl-course](https://github.com/anyscale/rl-course)  
+0.34 stars per week over 52 weeks  
+18 stars, 1 forks, 5 watches  
+created 2022-03-01, last commit 2023-01-02, main language Jupyter Notebook  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/template.md b/categories/template.md
index 884dacd..938f90f 100644
--- a/categories/template.md
+++ b/categories/template.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 10 curated template Python libraries and frameworks ordered by stars.  
+A selection of 11 curated template Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,8 +9,8 @@ Checkout the interactive version that you can filter and sort:
 cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.  
 [https://pypi.org/project/cookiecutter/](https://pypi.org/project/cookiecutter/)  
 [https://github.com/cookiecutter/cookiecutter](https://github.com/cookiecutter/cookiecutter)  
-37 stars per week over 490 weeks  
-18,527 stars, 1,759 forks, 237 watches  
+37 stars per week over 503 weeks  
+19,044 stars, 1,798 forks, 232 watches  
 created 2013-07-14, last commit 2022-09-09, main language Python  
 <sub><sup>cookiecutter, python</sup></sub>
 
@@ -18,64 +18,72 @@ created 2013-07-14, last commit 2022-09-09, main language Python
 ### [full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql) by [tiangolo](https://github.com/tiangolo)  
 full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.  
 [https://github.com/tiangolo/full-stack-fastapi-postgresql](https://github.com/tiangolo/full-stack-fastapi-postgresql)  
-53 stars per week over 197 weeks  
-10,525 stars, 1,908 forks, 171 watches  
+53 stars per week over 210 weeks  
+11,263 stars, 2,054 forks, 187 watches  
 created 2019-02-23, last commit 2020-06-05, main language Python  
 <sub><sup>backend, celery, cookiecutter, docker, fastapi, frontend, json, json-schema, jwt, letsencrypt, openapi, openapi3, pgadmin, postgresql, python, python3, swagger, traefik, vue, vuex</sup></sub>
 
 
+### [pyscaffold](https://github.com/pyscaffold/pyscaffold)  
+pyscaffold: 🛠 Python project template generator with batteries included  
+[https://pyscaffold.org](https://pyscaffold.org)  
+[https://github.com/pyscaffold/pyscaffold](https://github.com/pyscaffold/pyscaffold)  
+3.73 stars per week over 465 weeks  
+1,736 stars, 172 forks, 40 watches  
+created 2014-04-02, last commit 2023-02-21, main language Python  
+<sub><sup>distribution, git, package, package-creation, project-template, python, release-automation, template-project</sup></sub>
+
+
 ### [cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science) by [drivendata](https://github.com/drivendata)  
 cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.  
 [http://drivendata.github.io/cookiecutter-data-science/](http://drivendata.github.io/cookiecutter-data-science/)  
 [https://github.com/drivendata/cookiecutter-data-science](https://github.com/drivendata/cookiecutter-data-science)  
-16 stars per week over 370 weeks  
-6,292 stars, 2,007 forks, 112 watches  
+17 stars per week over 383 weeks  
+6,536 stars, 2,089 forks, 113 watches  
 created 2015-10-30, last commit 2022-03-11, main language Python  
 <sub><sup>ai, cookiecutter, cookiecutter-data-science, cookiecutter-template, data-science, machine-learning</sup></sub>
 
 
-### [pyscaffold](https://github.com/pyscaffold/pyscaffold)  
-pyscaffold: 🛠 Python project template generator with batteries included  
-[https://pyscaffold.org](https://pyscaffold.org)  
-[https://github.com/pyscaffold/pyscaffold](https://github.com/pyscaffold/pyscaffold)  
-3.61 stars per week over 453 weeks  
-1,636 stars, 169 forks, 39 watches  
-created 2014-04-02, last commit 2022-11-28, main language Python  
-<sub><sup>distribution, git, package, package-creation, project-template, python, release-automation, template-project</sup></sub>
-
-
-### [fastapi-react](https://github.com/buuntu/fastapi-react) by [buuntu](https://github.com/buuntu)  
-fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker  
-[https://github.com/buuntu/fastapi-react](https://github.com/buuntu/fastapi-react)  
-9.99 stars per week over 141 weeks  
-1,415 stars, 233 forks, 34 watches  
-created 2020-03-21, last commit 2022-02-18, main language Python  
-<sub><sup>boilerplate, cookiecutter, docker, fastapi, full-stack, jwt, nginx, oauth2, postgres, react, react-admin, sqlalchemy, typescript</sup></sub>
+### [fast-api-admin-template](https://github.com/janetech-inc/fast-api-admin-template) by [janetech-inc](https://github.com/janetech-inc)  
+fast-api-admin-template:  A test driven micro-service template to build and deploy a fast-api service with admin feature.  
+[https://github.com/janetech-inc/fast-api-admin-template](https://github.com/janetech-inc/fast-api-admin-template)  
+37 stars per week over 2 weeks  
+96 stars, 10 forks, 3 watches  
+created 2023-02-15, last commit 2023-03-01, main language JavaScript  
 
 
 ### [python-package-template](https://github.com/tezromach/python-package-template) by [tezromach](https://github.com/tezromach)  
 python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.  
 [https://github.com/tezromach/python-package-template](https://github.com/tezromach/python-package-template)  
-6.27 stars per week over 138 weeks  
-865 stars, 85 forks, 6 watches  
+6.16 stars per week over 150 weeks  
+927 stars, 92 forks, 6 watches  
 created 2020-04-15, last commit 2022-05-18, main language Python  
 <sub><sup>best-practices, codestyle, cookiecutter, formatters, makefile, poetry, python, python-packages, semantic-versions, template</sup></sub>
 
 
+### [fastapi-react](https://github.com/buuntu/fastapi-react) by [buuntu](https://github.com/buuntu)  
+fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker  
+[https://github.com/buuntu/fastapi-react](https://github.com/buuntu/fastapi-react)  
+9.91 stars per week over 154 weeks  
+1,528 stars, 259 forks, 37 watches  
+created 2020-03-21, last commit 2022-02-18, main language Python  
+<sub><sup>boilerplate, cookiecutter, docker, fastapi, full-stack, jwt, nginx, oauth2, postgres, react, react-admin, sqlalchemy, typescript</sup></sub>
+
+
 ### [mako](https://github.com/sqlalchemy/mako) by [sqlalchemy](https://github.com/sqlalchemy)  
 Mako Templates for Python  
 [https://www.makotemplates.org](https://www.makotemplates.org)  
 [https://github.com/sqlalchemy/mako](https://github.com/sqlalchemy/mako)  
-1.11 stars per week over 210 weeks  
-234 stars, 46 forks, 10 watches  
-created 2018-11-26, last commit 2022-12-01, main language Python  
+1.1 stars per week over 222 weeks  
+246 stars, 46 forks, 11 watches  
+created 2018-11-26, last commit 2023-01-03, main language Python  
 
 
 ### [cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience) by [crmne](https://github.com/crmne)  
 cookiecutter-modern-datascience: Start a data science project with modern tools  
 [https://github.com/crmne/cookiecutter-modern-datascience](https://github.com/crmne/cookiecutter-modern-datascience)  
-1.06 stars per week over 126 weeks  
-134 stars, 27 forks, 3 watches  
+1.03 stars per week over 138 weeks  
+143 stars, 29 forks, 3 watches  
 created 2020-07-06, last commit 2022-06-10, main language Python  
 <sub><sup>cookiecutter, cookiecutter-data-science, cookiecutter-template, datascience, python</sup></sub>
 
@@ -84,8 +92,8 @@ created 2020-07-06, last commit 2022-06-10, main language Python
 python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.  
 [https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/](https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/)  
 [https://github.com/eugeneyan/python-collab-template](https://github.com/eugeneyan/python-collab-template)  
-0.97 stars per week over 128 weeks  
-124 stars, 35 forks, 4 watches  
+0.9 stars per week over 141 weeks  
+127 stars, 37 forks, 4 watches  
 created 2020-06-21, last commit 2022-07-02, main language Python  
 <sub><sup>coverage, github-actions, hacktoberfest, linting, makefile, python, type-checking, unit-testing</sup></sub>
 
@@ -93,13 +101,13 @@ created 2020-06-21, last commit 2022-07-02, main language Python
 ### [python-project-template](https://github.com/dylanhogg/python-project-template) by [dylanhogg](https://github.com/dylanhogg)  
 python-project-template: A quick-start Python project template with helpful functionality and common libraries.  
 [https://github.com/dylanhogg/python-project-template](https://github.com/dylanhogg/python-project-template)  
-0.01 stars per week over 147 weeks  
+0.01 stars per week over 159 weeks  
 1 stars, 0 forks, 2 watches  
 created 2020-02-12, last commit 2022-08-19, main language Python  
 <sub><sup>cookiecutter, jupyterlab, python, template</sup></sub>
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/term.md b/categories/term.md
index 660702c..98366a0 100644
--- a/categories/term.md
+++ b/categories/term.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 12 curated term Python libraries and frameworks ordered by stars.  
+A selection of 13 curated term Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,119 +9,129 @@ Checkout the interactive version that you can filter and sort:
 Rich is a Python library for rich text and beautiful formatting in the terminal.  
 [https://rich.readthedocs.io/en/latest/](https://rich.readthedocs.io/en/latest/)  
 [https://github.com/willmcgugan/rich](https://github.com/willmcgugan/rich)  
-255 stars per week over 160 weeks  
-40,996 stars, 1,434 forks, 541 watches  
-created 2019-11-10, last commit 2022-12-04, main language Python  
+244 stars per week over 173 weeks  
+42,276 stars, 1,505 forks, 544 watches  
+created 2019-11-10, last commit 2023-03-04, main language Python  
 <sub><sup>ansi-colors, emoji, markdown, progress-bar, progress-bar-python, python, python-library, python3, rich, syntax-highlighting, tables, terminal, terminal-color, traceback, tracebacks-rich, tui</sup></sub>
 
 
-### [tqdm](https://github.com/tqdm/tqdm)  
-tqdm: A Fast, Extensible Progress Bar for Python and CLI  
-[https://tqdm.github.io](https://tqdm.github.io)  
-[https://github.com/tqdm/tqdm](https://github.com/tqdm/tqdm)  
-59 stars per week over 392 weeks  
-23,501 stars, 1,195 forks, 207 watches  
-created 2015-06-03, last commit 2022-09-03, main language Python  
-<sub><sup>cli, closember, console, discord, gui, jupyter, keras, meter, pandas, parallel, progress, progress-bar, progressbar, progressmeter, python, rate, telegram, terminal, time, utilities</sup></sub>
+### [textual](https://github.com/willmcgugan/textual) by [willmcgugan](https://github.com/willmcgugan)  
+Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.  
+[https://textual.textualize.io/](https://textual.textualize.io/)  
+[https://github.com/willmcgugan/textual](https://github.com/willmcgugan/textual)  
+180 stars per week over 99 weeks  
+17,946 stars, 525 forks, 157 watches  
+created 2021-04-08, last commit 2023-03-03, main language Python  
+<sub><sup>cli, framework, python, rich, terminal, tui</sup></sub>
+
+
+### [typer](https://github.com/tiangolo/typer) by [tiangolo](https://github.com/tiangolo)  
+Typer, build great CLIs. Easy to code. Based on Python type hints.  
+[https://typer.tiangolo.com/](https://typer.tiangolo.com/)  
+[https://github.com/tiangolo/typer](https://github.com/tiangolo/typer)  
+63 stars per week over 166 weeks  
+10,601 stars, 427 forks, 68 watches  
+created 2019-12-24, last commit 2023-02-21, main language Python  
+<sub><sup>cli, click, python, python3, shell, terminal, typehints, typer</sup></sub>
 
 
 ### [python-fire](https://github.com/google/python-fire) by [google](https://github.com/google)  
 python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.  
 [https://github.com/google/python-fire](https://github.com/google/python-fire)  
-77 stars per week over 302 weeks  
-23,437 stars, 1,353 forks, 380 watches  
-created 2017-02-21, last commit 2022-11-28, main language Python  
+76 stars per week over 314 weeks  
+24,057 stars, 1,369 forks, 381 watches  
+created 2017-02-21, last commit 2023-02-13, main language Python  
 <sub><sup>cli, python</sup></sub>
 
 
-### [textual](https://github.com/willmcgugan/textual) by [willmcgugan](https://github.com/willmcgugan)  
-Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.  
-[https://textual.textualize.io/](https://textual.textualize.io/)  
-[https://github.com/willmcgugan/textual](https://github.com/willmcgugan/textual)  
-187 stars per week over 86 weeks  
-16,321 stars, 470 forks, 151 watches  
-created 2021-04-08, last commit 2022-12-05, main language Python  
-<sub><sup>cli, framework, python, rich, terminal, tui</sup></sub>
+### [tqdm](https://github.com/tqdm/tqdm)  
+tqdm: A Fast, Extensible Progress Bar for Python and CLI  
+[https://tqdm.github.io](https://tqdm.github.io)  
+[https://github.com/tqdm/tqdm](https://github.com/tqdm/tqdm)  
+59 stars per week over 404 weeks  
+24,141 stars, 1,225 forks, 208 watches  
+created 2015-06-03, last commit 2023-03-03, main language Python  
+<sub><sup>cli, closember, console, discord, gui, jupyter, keras, meter, pandas, parallel, progress, progress-bar, progressbar, progressmeter, python, rate, telegram, terminal, time, utilities</sup></sub>
 
 
 ### [click](https://github.com/pallets/click) by [pallets](https://github.com/pallets)  
 click: Python composable command line interface toolkit  
 [https://click.palletsprojects.com](https://click.palletsprojects.com)  
 [https://github.com/pallets/click](https://github.com/pallets/click)  
-29 stars per week over 449 weeks  
-13,247 stars, 1,298 forks, 181 watches  
-created 2014-04-24, last commit 2022-11-01, main language Python  
+29 stars per week over 462 weeks  
+13,554 stars, 1,315 forks, 180 watches  
+created 2014-04-24, last commit 2023-03-01, main language Python  
 <sub><sup>cli, click, pallets, python</sup></sub>
 
 
-### [typer](https://github.com/tiangolo/typer) by [tiangolo](https://github.com/tiangolo)  
-Typer, build great CLIs. Easy to code. Based on Python type hints.  
-[https://typer.tiangolo.com/](https://typer.tiangolo.com/)  
-[https://github.com/tiangolo/typer](https://github.com/tiangolo/typer)  
-64 stars per week over 154 weeks  
-9,902 stars, 396 forks, 66 watches  
-created 2019-12-24, last commit 2022-11-14, main language Python  
-<sub><sup>cli, click, python, python3, shell, terminal, typehints, typer</sup></sub>
+### [prettytable](https://github.com/jazzband/prettytable) by [jazzband](https://github.com/jazzband)  
+prettytable: Display tabular data in a visually appealing ASCII table format  
+[https://pypi.org/project/PrettyTable/](https://pypi.org/project/PrettyTable/)  
+[https://github.com/jazzband/prettytable](https://github.com/jazzband/prettytable)  
+2.6 stars per week over 372 weeks  
+968 stars, 122 forks, 20 watches  
+created 2016-01-15, last commit 2023-03-02, main language Python  
+<sub><sup>package, python, python-3, utility-library</sup></sub>
+
+
+### [blessed](https://github.com/jquast/blessed) by [jquast](https://github.com/jquast)  
+Blessed is an easy, practical library for making python terminal apps  
+[http://pypi.python.org/pypi/blessed](http://pypi.python.org/pypi/blessed)  
+[https://github.com/jquast/blessed](https://github.com/jquast/blessed)  
+1.9 stars per week over 470 weeks  
+893 stars, 68 forks, 23 watches  
+created 2014-03-01, last commit 2023-02-04, main language Python  
+<sub><sup>cli, curses, terminal</sup></sub>
 
 
 ### [urwid](https://github.com/urwid/urwid)  
 urwid: Console user interface library for Python (official repo)  
 [urwid.org](urwid.org)  
 [https://github.com/urwid/urwid](https://github.com/urwid/urwid)  
-3.77 stars per week over 666 weeks  
-2,513 stars, 311 forks, 60 watches  
+3.75 stars per week over 679 weeks  
+2,545 stars, 311 forks, 62 watches  
 created 2010-02-25, last commit 2022-07-12, main language Python  
 
 
-### [blessed](https://github.com/jquast/blessed) by [jquast](https://github.com/jquast)  
-Blessed is an easy, practical library for making python terminal apps  
-[http://pypi.python.org/pypi/blessed](http://pypi.python.org/pypi/blessed)  
-[https://github.com/jquast/blessed](https://github.com/jquast/blessed)  
-1.89 stars per week over 457 weeks  
-863 stars, 67 forks, 24 watches  
-created 2014-03-01, last commit 2022-09-27, main language Python  
-<sub><sup>cli, curses, terminal</sup></sub>
+### [enlighten](https://github.com/rockhopper-technologies/enlighten) by [rockhopper-technologies](https://github.com/rockhopper-technologies)  
+Enlighten Progress Bar for Python Console Apps  
+[https://python-enlighten.readthedocs.io](https://python-enlighten.readthedocs.io)  
+[https://github.com/rockhopper-technologies/enlighten](https://github.com/rockhopper-technologies/enlighten)  
+0.98 stars per week over 284 weeks  
+278 stars, 19 forks, 4 watches  
+created 2017-09-22, last commit 2023-02-04, main language Python  
+<sub><sup>python</sup></sub>
+
+
+### [terminaltables](https://github.com/matthewdeanmartin/terminaltables) by [matthewdeanmartin](https://github.com/matthewdeanmartin)  
+terminaltables: Generate simple tables in terminals from a nested list of strings.  
+[https://robpol86.github.io/terminaltables](https://robpol86.github.io/terminaltables)  
+[https://github.com/matthewdeanmartin/terminaltables](https://github.com/matthewdeanmartin/terminaltables)  
+0.38 stars per week over 65 weeks  
+25 stars, 5 forks, 0 watches  
+created 2021-12-04, last commit 2022-01-30, main language Python  
 
 
 ### [dashing](https://github.com/federicoceratto/dashing) by [federicoceratto](https://github.com/federicoceratto)  
 dashing: Terminal dashboards for Python  
 [https://dashing.readthedocs.io/en/latest/](https://dashing.readthedocs.io/en/latest/)  
 [https://github.com/federicoceratto/dashing](https://github.com/federicoceratto/dashing)  
-1.17 stars per week over 287 weeks  
-337 stars, 30 forks, 9 watches  
+1.16 stars per week over 300 weeks  
+347 stars, 30 forks, 9 watches  
 created 2017-06-03, last commit 2020-09-06, main language Python  
 <sub><sup>charts, dashboard, gauges, python, python3, terminal, terminal-based</sup></sub>
 
 
-### [enlighten](https://github.com/rockhopper-technologies/enlighten) by [rockhopper-technologies](https://github.com/rockhopper-technologies)  
-Enlighten Progress Bar for Python Console Apps  
-[https://python-enlighten.readthedocs.io](https://python-enlighten.readthedocs.io)  
-[https://github.com/rockhopper-technologies/enlighten](https://github.com/rockhopper-technologies/enlighten)  
-0.96 stars per week over 271 weeks  
-262 stars, 19 forks, 4 watches  
-created 2017-09-22, last commit 2022-12-01, main language Python  
-<sub><sup>python</sup></sub>
-
-
 ### [sparklines](https://github.com/deeplook/sparklines) by [deeplook](https://github.com/deeplook)  
 sparklines: Text-based sparkline command line mimicking those of Edward Tuft.  
 [https://github.com/deeplook/sparklines](https://github.com/deeplook/sparklines)  
-0.24 stars per week over 342 weeks  
-83 stars, 6 forks, 3 watches  
+0.24 stars per week over 354 weeks  
+84 stars, 6 forks, 3 watches  
 created 2016-05-17, last commit 2021-06-26, main language Python  
 <sub><sup>ascii, command-line-tool, graphs, python, sparkline-graphs, sparklines</sup></sub>
 
 
-### [terminaltables](https://github.com/matthewdeanmartin/terminaltables) by [matthewdeanmartin](https://github.com/matthewdeanmartin)  
-terminaltables: Generate simple tables in terminals from a nested list of strings.  
-[https://robpol86.github.io/terminaltables](https://robpol86.github.io/terminaltables)  
-[https://github.com/matthewdeanmartin/terminaltables](https://github.com/matthewdeanmartin/terminaltables)  
-0.32 stars per week over 52 weeks  
-17 stars, 4 forks, 0 watches  
-created 2021-12-04, last commit 2022-01-30, main language Python  
-
-
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/testing.md b/categories/testing.md
index 46a2c05..304b0a3 100644
--- a/categories/testing.md
+++ b/categories/testing.md
@@ -8,9 +8,9 @@ Checkout the interactive version that you can filter and sort:
 ### [locust](https://github.com/locustio/locust) by [locustio](https://github.com/locustio)  
 locust: Scalable load testing tool written in Python  
 [https://github.com/locustio/locust](https://github.com/locustio/locust)  
-32 stars per week over 615 weeks  
-20,265 stars, 2,592 forks, 430 watches  
-created 2011-02-17, last commit 2022-12-06, main language Python  
+33 stars per week over 628 weeks  
+20,788 stars, 2,648 forks, 433 watches  
+created 2011-02-17, last commit 2023-03-04, main language Python  
 <sub><sup>benchmarking, http, load-generator, load-testing, locust, performance-testing, python</sup></sub>
 
 
@@ -18,9 +18,9 @@ created 2011-02-17, last commit 2022-12-06, main language Python
 pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing  
 [https://pytest.org](https://pytest.org)  
 [https://github.com/pytest-dev/pytest](https://github.com/pytest-dev/pytest)  
-24 stars per week over 390 weeks  
-9,564 stars, 2,210 forks, 194 watches  
-created 2015-06-15, last commit 2022-12-06, main language Python  
+24 stars per week over 402 weeks  
+9,858 stars, 2,271 forks, 194 watches  
+created 2015-06-15, last commit 2023-03-03, main language Python  
 <sub><sup>hacktoberfest, python, test, testing, unit-testing</sup></sub>
 
 
@@ -28,9 +28,9 @@ created 2015-06-15, last commit 2022-12-06, main language Python
 robotframework: Generic automation framework for acceptance testing and RPA  
 [http://robotframework.org](http://robotframework.org)  
 [https://github.com/robotframework/robotframework](https://github.com/robotframework/robotframework)  
-17 stars per week over 440 weeks  
-7,608 stars, 2,047 forks, 483 watches  
-created 2014-06-27, last commit 2022-11-20, main language Python  
+17 stars per week over 453 weeks  
+7,804 stars, 2,092 forks, 475 watches  
+created 2014-06-27, last commit 2023-03-01, main language Python  
 <sub><sup>attd, automation, bdd, python, robotframework, rpa, testautomation, testing</sup></sub>
 
 
@@ -38,73 +38,66 @@ created 2014-06-27, last commit 2022-11-20, main language Python
 Hypothesis is a powerful, flexible, and easy to use library for property-based testing.  
 [https://hypothesis.works](https://hypothesis.works)  
 [https://github.com/hypothesisworks/hypothesis](https://github.com/hypothesisworks/hypothesis)  
-12 stars per week over 508 weeks  
-6,373 stars, 537 forks, 69 watches  
-created 2013-03-10, last commit 2022-12-04, main language Python  
+12 stars per week over 521 weeks  
+6,552 stars, 550 forks, 68 watches  
+created 2013-03-10, last commit 2023-02-17, main language Python  
 <sub><sup>fuzzing, property-based-testing, python, testing</sup></sub>
 
 
-### [beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns) by [newsapps](https://github.com/newsapps)  
-beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).  
-[http://apps.chicagotribune.com/](http://apps.chicagotribune.com/)  
-[https://github.com/newsapps/beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns)  
-9.64 stars per week over 649 weeks  
-6,260 stars, 663 forks, 227 watches  
-created 2010-06-29, last commit 2017-12-20, main language Python  
-
-
-### [freezegun](https://github.com/spulec/freezegun) by [spulec](https://github.com/spulec)  
-freezegun: Let your Python tests travel through time  
-[https://github.com/spulec/freezegun](https://github.com/spulec/freezegun)  
-6.71 stars per week over 521 weeks  
-3,499 stars, 243 forks, 34 watches  
-created 2012-12-11, last commit 2022-08-12, main language Python  
+### [coveragepy](https://github.com/nedbat/coveragepy) by [nedbat](https://github.com/nedbat)  
+coveragepy: The code coverage tool for Python  
+[https://coverage.readthedocs.io](https://coverage.readthedocs.io)  
+[https://github.com/nedbat/coveragepy](https://github.com/nedbat/coveragepy)  
+9.8 stars per week over 245 weeks  
+2,402 stars, 346 forks, 27 watches  
+created 2018-06-23, last commit 2023-02-26, main language Python  
 
 
 ### [tox](https://github.com/tox-dev/tox) by [tox-dev](https://github.com/tox-dev)  
 tox: Command line driven CI frontend and development task automation tool.  
 [https://tox.wiki](https://tox.wiki)  
 [https://github.com/tox-dev/tox](https://github.com/tox-dev/tox)  
-9.54 stars per week over 324 weeks  
-3,097 stars, 443 forks, 41 watches  
-created 2016-09-17, last commit 2022-12-07, main language Python  
-<sub><sup>appveyor, automation, azure-pipelines, circleci, cli, continuous-integration, gitlab, hacktoberfest, python, testing, travis, venv, virtualenv</sup></sub>
+9.48 stars per week over 337 weeks  
+3,197 stars, 461 forks, 41 watches  
+created 2016-09-17, last commit 2023-03-02, main language Python  
+<sub><sup>actions, appveyor, automation, azure-pipelines, circleci, cli, continuous-integration, gitlab, hacktoberfest, pep-621, python, testing, travis, venv, virtualenv</sup></sub>
 
 
 ### [SeleniumBase](https://github.com/seleniumbase/seleniumbase) by [seleniumbase](https://github.com/seleniumbase)  
-SeleniumBase: Python framework for web automation and testing. Includes a dashboard and a test-generating recorder.  
+SeleniumBase: A Python browser automation framework for creating reliable end-to-end tests.  
 [https://seleniumbase.io](https://seleniumbase.io)  
 [https://github.com/seleniumbase/seleniumbase](https://github.com/seleniumbase/seleniumbase)  
-6.59 stars per week over 457 weeks  
-3,012 stars, 724 forks, 119 watches  
-created 2014-03-04, last commit 2022-12-05, main language Python  
-<sub><sup>awesome-list, behave, chrome, chromedriver, e2e-testing, firefox, pytest, pytest-plugin, python, recorder, rpa, selenium, selenium-python, seleniumbase, testing, testing-tools, web-automation, webautomation, webdriver, webkit</sup></sub>
+6.72 stars per week over 469 weeks  
+3,157 stars, 761 forks, 122 watches  
+created 2014-03-04, last commit 2023-03-04, main language Python  
+<sub><sup>behave, chrome, chromedriver, e2e-testing, firefox, pytest, pytest-plugin, python, python3, selenium, selenium-python, seleniumbase, test, web-automation, webdriver, webkit</sup></sub>
 
 
-### [behave](https://github.com/behave/behave)  
-behave: BDD, Python style.  
-[https://github.com/behave/behave](https://github.com/behave/behave)  
-4.71 stars per week over 580 weeks  
-2,733 stars, 608 forks, 119 watches  
-created 2011-10-25, last commit 2022-11-23, main language Python  
+### [freezegun](https://github.com/spulec/freezegun) by [spulec](https://github.com/spulec)  
+freezegun: Let your Python tests travel through time  
+[https://github.com/spulec/freezegun](https://github.com/spulec/freezegun)  
+6.73 stars per week over 533 weeks  
+3,594 stars, 249 forks, 31 watches  
+created 2012-12-11, last commit 2023-02-22, main language Python  
 
 
-### [coveragepy](https://github.com/nedbat/coveragepy) by [nedbat](https://github.com/nedbat)  
-coveragepy: The code coverage tool for Python  
-[https://coverage.readthedocs.io](https://coverage.readthedocs.io)  
-[https://github.com/nedbat/coveragepy](https://github.com/nedbat/coveragepy)  
-9.86 stars per week over 232 weeks  
-2,292 stars, 330 forks, 27 watches  
-created 2018-06-23, last commit 2022-12-06, main language Python  
+### [pytest-xdist](https://github.com/pytest-dev/pytest-xdist) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes.   
+[https://pytest-xdist.readthedocs.io](https://pytest-xdist.readthedocs.io)  
+[https://github.com/pytest-dev/pytest-xdist](https://github.com/pytest-dev/pytest-xdist)  
+2.81 stars per week over 391 weeks  
+1,100 stars, 192 forks, 47 watches  
+created 2015-09-01, last commit 2023-02-27, main language Python  
+<sub><sup>hacktoberfest, pytest, pytest-plugin</sup></sub>
 
 
 ### [pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra) by [pytest-dev](https://github.com/pytest-dev)  
 pytest-testinfra: Testinfra test your infrastructures  
 [https://testinfra.readthedocs.io](https://testinfra.readthedocs.io)  
 [https://github.com/pytest-dev/pytest-testinfra](https://github.com/pytest-dev/pytest-testinfra)  
-5.29 stars per week over 403 weeks  
-2,133 stars, 312 forks, 82 watches  
-created 2015-03-15, last commit 2022-12-06, main language Python  
+5.21 stars per week over 416 weeks  
+2,169 stars, 321 forks, 82 watches  
+created 2015-03-15, last commit 2023-01-11, main language Python  
 <sub><sup>ansible, chef, devops, devops-tools, docker, infrastructure-as-code, infrastructure-testing, kubernetes, nagios, puppet, pytest-plugin, python, saltstack, tdd, tdd-utilities, testing, testing-tools</sup></sub>
 
 
@@ -112,77 +105,84 @@ created 2015-03-15, last commit 2022-12-06, main language Python
 pytest-mock: Thin-wrapper around the mock package for easier use with pytest  
 [https://pytest-mock.readthedocs.io/en/latest/](https://pytest-mock.readthedocs.io/en/latest/)  
 [https://github.com/pytest-dev/pytest-mock](https://github.com/pytest-dev/pytest-mock)  
-3.4 stars per week over 437 weeks  
-1,488 stars, 118 forks, 33 watches  
-created 2014-07-17, last commit 2022-11-29, main language Python  
+3.42 stars per week over 450 weeks  
+1,541 stars, 122 forks, 33 watches  
+created 2014-07-17, last commit 2023-02-27, main language Python  
 <sub><sup>hacktoberfest, mock, pytest</sup></sub>
 
 
+### [tavern](https://github.com/taverntesting/tavern) by [taverntesting](https://github.com/taverntesting)  
+tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax  
+[https://taverntesting.github.io/](https://taverntesting.github.io/)  
+[https://github.com/taverntesting/tavern](https://github.com/taverntesting/tavern)  
+3.28 stars per week over 278 weeks  
+913 stars, 182 forks, 28 watches  
+created 2017-11-01, last commit 2023-02-16, main language Python  
+<sub><sup>http, mqtt, pytest, python, test-automation, testing</sup></sub>
+
+
+### [pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio) by [pytest-dev](https://github.com/pytest-dev)  
+pytest-asyncio: Asyncio support for pytest  
+[https://pytest-asyncio.readthedocs.io](https://pytest-asyncio.readthedocs.io)  
+[https://github.com/pytest-dev/pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio)  
+2.68 stars per week over 412 weeks  
+1,106 stars, 118 forks, 35 watches  
+created 2015-04-11, last commit 2023-02-25, main language Python  
+
+
 ### [pytest-cov](https://github.com/pytest-dev/pytest-cov) by [pytest-dev](https://github.com/pytest-dev)  
 pytest-cov: Coverage plugin for pytest.  
 [https://github.com/pytest-dev/pytest-cov](https://github.com/pytest-dev/pytest-cov)  
-3.0 stars per week over 450 weeks  
-1,353 stars, 188 forks, 33 watches  
-created 2014-04-17, last commit 2022-12-03, main language Python  
+3.01 stars per week over 463 weeks  
+1,397 stars, 192 forks, 34 watches  
+created 2014-04-17, last commit 2023-02-28, main language Python  
 <sub><sup>pytest, python</sup></sub>
 
 
+### [behave](https://github.com/behave/behave)  
+behave: BDD, Python style.  
+[https://github.com/behave/behave](https://github.com/behave/behave)  
+4.69 stars per week over 592 weeks  
+2,778 stars, 610 forks, 119 watches  
+created 2011-10-25, last commit 2022-12-19, main language Python  
+
+
 ### [pytest-bdd](https://github.com/pytest-dev/pytest-bdd) by [pytest-dev](https://github.com/pytest-dev)  
 pytest-bdd: BDD library for the py.test runner  
 [https://pytest-bdd.readthedocs.io/en/latest/](https://pytest-bdd.readthedocs.io/en/latest/)  
 [https://github.com/pytest-dev/pytest-bdd](https://github.com/pytest-dev/pytest-bdd)  
-2.17 stars per week over 505 weeks  
-1,096 stars, 186 forks, 53 watches  
-created 2013-03-29, last commit 2022-12-06, main language Python  
-
-
-### [pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-asyncio: Asyncio support for pytest  
-[https://pytest-asyncio.readthedocs.io](https://pytest-asyncio.readthedocs.io)  
-[https://github.com/pytest-dev/pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio)  
-2.63 stars per week over 399 weeks  
-1,050 stars, 115 forks, 34 watches  
-created 2015-04-11, last commit 2022-12-01, main language Python  
-
-
-### [pytest-xdist](https://github.com/pytest-dev/pytest-xdist) by [pytest-dev](https://github.com/pytest-dev)  
-pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes.   
-[https://pytest-xdist.readthedocs.io](https://pytest-xdist.readthedocs.io)  
-[https://github.com/pytest-dev/pytest-xdist](https://github.com/pytest-dev/pytest-xdist)  
-2.74 stars per week over 379 weeks  
-1,038 stars, 185 forks, 45 watches  
-created 2015-09-01, last commit 2022-12-06, main language Python  
-<sub><sup>hacktoberfest, pytest, pytest-plugin</sup></sub>
+2.18 stars per week over 518 weeks  
+1,130 stars, 189 forks, 53 watches  
+created 2013-03-29, last commit 2023-02-27, main language Python  
 
 
 ### [pytest-sugar](https://github.com/teemu/pytest-sugar) by [teemu](https://github.com/teemu)  
 pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)  
 [https://github.com/teemu/pytest-sugar](https://github.com/teemu/pytest-sugar)  
-1.93 stars per week over 493 weeks  
-954 stars, 67 forks, 17 watches  
-created 2013-06-25, last commit 2022-12-04, main language Python  
+1.97 stars per week over 505 weeks  
+998 stars, 68 forks, 17 watches  
+created 2013-06-25, last commit 2022-12-11, main language Python  
 <sub><sup>pytest, pytest-plugin, pytest-sugar, python, testing</sup></sub>
 
 
-### [tavern](https://github.com/taverntesting/tavern) by [taverntesting](https://github.com/taverntesting)  
-tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax  
-[https://taverntesting.github.io/](https://taverntesting.github.io/)  
-[https://github.com/taverntesting/tavern](https://github.com/taverntesting/tavern)  
-3.41 stars per week over 266 weeks  
-908 stars, 179 forks, 28 watches  
-created 2017-11-01, last commit 2022-11-27, main language Python  
-<sub><sup>http, mqtt, pytest, python, test-automation, testing</sup></sub>
+### [beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns) by [newsapps](https://github.com/newsapps)  
+beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).  
+[http://apps.chicagotribune.com/](http://apps.chicagotribune.com/)  
+[https://github.com/newsapps/beeswithmachineguns](https://github.com/newsapps/beeswithmachineguns)  
+9.51 stars per week over 661 weeks  
+6,293 stars, 664 forks, 227 watches  
+created 2010-06-29, last commit 2017-12-20, main language Python  
 
 
 ### [parameterized](https://github.com/wolever/parameterized) by [wolever](https://github.com/wolever)  
 Parameterized testing with any Python test framework  
 [https://github.com/wolever/parameterized](https://github.com/wolever/parameterized)  
-1.26 stars per week over 560 weeks  
-708 stars, 94 forks, 18 watches  
-created 2012-03-10, last commit 2021-01-09, main language Python  
+1.26 stars per week over 573 weeks  
+724 stars, 95 forks, 18 watches  
+created 2012-03-10, last commit 2023-03-02, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/time-series.md b/categories/time-series.md
index f8c9065..fafc6ce 100644
--- a/categories/time-series.md
+++ b/categories/time-series.md
@@ -1,184 +1,211 @@
 # Crazy Awesome Python
-A selection of 18 curated time-series Python libraries and frameworks ordered by stars.  
+A selection of 21 curated time-series Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
+### [sktime](https://github.com/sktime/sktime)  
+sktime: A unified framework for machine learning with time series  
+[https://www.sktime.net](https://www.sktime.net)  
+[https://github.com/sktime/sktime](https://github.com/sktime/sktime)  
+27 stars per week over 225 weeks  
+6,216 stars, 1,032 forks, 107 watches  
+created 2018-11-06, last commit 2023-03-02, main language Python  
+<sub><sup>data-mining, data-science, forecasting, machine-learning, scikit-learn, time-series, time-series-analysis, time-series-classification, time-series-regression</sup></sub>
+
+
 ### [prophet](https://github.com/facebook/prophet) by [facebook](https://github.com/facebook)  
 prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.  
 [https://facebook.github.io/prophet](https://facebook.github.io/prophet)  
 [https://github.com/facebook/prophet](https://github.com/facebook/prophet)  
-48 stars per week over 316 weeks  
-15,239 stars, 4,336 forks, 426 watches  
-created 2016-11-16, last commit 2022-09-21, main language Python  
+47 stars per week over 328 weeks  
+15,558 stars, 4,372 forks, 421 watches  
+created 2016-11-16, last commit 2023-02-28, main language Python  
 <sub><sup>forecasting, python, r</sup></sub>
 
 
-### [tsfresh](https://github.com/blue-yonder/tsfresh) by [blue-yonder](https://github.com/blue-yonder)  
-tsfresh: Automatic extraction of relevant features from time series:  
-[http://tsfresh.readthedocs.io](http://tsfresh.readthedocs.io)  
-[https://github.com/blue-yonder/tsfresh](https://github.com/blue-yonder/tsfresh)  
-21 stars per week over 319 weeks  
-6,919 stars, 1,086 forks, 159 watches  
-created 2016-10-26, last commit 2022-11-18, main language Jupyter Notebook  
-<sub><sup>data-science, feature-extraction, time-series</sup></sub>
-
-
-### [sktime](https://github.com/sktime/sktime)  
-sktime: A unified framework for machine learning with time series  
-[https://sktime.org](https://sktime.org)  
-[https://github.com/sktime/sktime](https://github.com/sktime/sktime)  
-27 stars per week over 213 weeks  
-5,958 stars, 974 forks, 109 watches  
-created 2018-11-06, last commit 2022-12-02, main language Python  
-<sub><sup>data-mining, data-science, forecasting, machine-learning, scikit-learn, time-series, time-series-analysis, time-series-classification, time-series-regression</sup></sub>
-
-
 ### [darts](https://github.com/unit8co/darts) by [unit8co](https://github.com/unit8co)  
-darts: A python library for easy manipulation and forecasting of time series.  
+darts: A python library for user-friendly forecasting and anomaly detection on time series.  
 [https://unit8co.github.io/darts/](https://unit8co.github.io/darts/)  
 [https://github.com/unit8co/darts](https://github.com/unit8co/darts)  
-23 stars per week over 220 weeks  
-5,102 stars, 551 forks, 41 watches  
-created 2018-09-13, last commit 2022-12-01, main language Python  
-<sub><sup>deep-learning, forecasting, machine-learning, python, time-series</sup></sub>
-
-
-### [Kats](https://github.com/facebookresearch/kats) by [facebookresearch](https://github.com/facebookresearch)  
-Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.   
-[https://github.com/facebookresearch/kats](https://github.com/facebookresearch/kats)  
-44 stars per week over 92 weeks  
-4,107 stars, 430 forks, 70 watches  
-created 2021-02-25, last commit 2022-12-07, main language Python  
+23 stars per week over 233 weeks  
+5,483 stars, 603 forks, 46 watches  
+created 2018-09-13, last commit 2023-02-28, main language Python  
+<sub><sup>anomaly-detection, data-science, deep-learning, forecasting, machine-learning, python, time-series</sup></sub>
 
 
 ### [gluonts](https://github.com/awslabs/gluonts) by [awslabs](https://github.com/awslabs)  
 gluonts: Probabilistic time series modeling in Python  
 [https://ts.gluon.ai](https://ts.gluon.ai)  
 [https://github.com/awslabs/gluonts](https://github.com/awslabs/gluonts)  
-17 stars per week over 186 weeks  
-3,195 stars, 646 forks, 70 watches  
-created 2019-05-15, last commit 2022-11-30, main language Python  
+17 stars per week over 198 weeks  
+3,381 stars, 681 forks, 70 watches  
+created 2019-05-15, last commit 2023-03-02, main language Python  
 <sub><sup>artificial-intelligence, aws, data-science, deep-learning, forecasting, machine-learning, mxnet, neural-networks, pytorch, sagemaker, time-series, time-series-forecasting, time-series-prediction, timeseries</sup></sub>
 
 
+### [statsforecast](https://github.com/nixtla/statsforecast) by [nixtla](https://github.com/nixtla)  
+statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.  
+[https://nixtla.github.io/statsforecast/](https://nixtla.github.io/statsforecast/)  
+[https://github.com/nixtla/statsforecast](https://github.com/nixtla/statsforecast)  
+34 stars per week over 66 weeks  
+2,300 stars, 147 forks, 18 watches  
+created 2021-11-24, last commit 2023-03-04, main language Python  
+<sub><sup>arima, automl, baselines, data-science, econometrics, ets, exponential-smoothing, fbprophet, forecasting, machine-learning, mstl, naive, neuralprophet, predictions, prophet, python, seasonal-naive, statistics, theta, time-series</sup></sub>
+
+
+### [Kats](https://github.com/facebookresearch/kats) by [facebookresearch](https://github.com/facebookresearch)  
+Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.   
+[https://github.com/facebookresearch/kats](https://github.com/facebookresearch/kats)  
+40 stars per week over 105 weeks  
+4,241 stars, 452 forks, 73 watches  
+created 2021-02-25, last commit 2023-03-02, main language Python  
+
+
 ### [Merlion](https://github.com/salesforce/merlion) by [salesforce](https://github.com/salesforce)  
 Merlion: A Machine Learning Framework for Time Series Intelligence  
 [https://github.com/salesforce/merlion](https://github.com/salesforce/merlion)  
-39 stars per week over 71 weeks  
-2,800 stars, 240 forks, 45 watches  
-created 2021-07-28, last commit 2022-12-07, main language Python  
+34 stars per week over 83 weeks  
+2,891 stars, 247 forks, 46 watches  
+created 2021-07-28, last commit 2023-02-15, main language Python  
 <sub><sup>anomaly-detection, automl, benchmarking, ensemble-learning, forecasting, machine-learning, time-series</sup></sub>
 
 
+### [tsfresh](https://github.com/blue-yonder/tsfresh) by [blue-yonder](https://github.com/blue-yonder)  
+tsfresh: Automatic extraction of relevant features from time series:  
+[http://tsfresh.readthedocs.io](http://tsfresh.readthedocs.io)  
+[https://github.com/blue-yonder/tsfresh](https://github.com/blue-yonder/tsfresh)  
+21 stars per week over 331 weeks  
+7,118 stars, 1,120 forks, 158 watches  
+created 2016-10-26, last commit 2023-02-28, main language Jupyter Notebook  
+<sub><sup>data-science, feature-extraction, time-series</sup></sub>
+
+
 ### [stumpy](https://github.com/tdameritrade/stumpy) by [tdameritrade](https://github.com/tdameritrade)  
 STUMPY is a powerful and scalable Python library for modern time series analysis  
 [https://stumpy.readthedocs.io/en/latest/](https://stumpy.readthedocs.io/en/latest/)  
 [https://github.com/tdameritrade/stumpy](https://github.com/tdameritrade/stumpy)  
-13 stars per week over 187 weeks  
-2,452 stars, 237 forks, 50 watches  
-created 2019-05-03, last commit 2022-12-06, main language Python  
+12 stars per week over 200 weeks  
+2,562 stars, 248 forks, 53 watches  
+created 2019-05-03, last commit 2023-02-16, main language Python  
 <sub><sup>anomaly-detection, dask, data-science, matrix-profile, motif-discovery, numba, pattern-matching, pydata, python, time-series-analysis, time-series-data-mining, time-series-segmentation</sup></sub>
 
 
-### [statsforecast](https://github.com/nixtla/statsforecast) by [nixtla](https://github.com/nixtla)  
-statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.  
-[https://nixtla.github.io/statsforecast/](https://nixtla.github.io/statsforecast/)  
-[https://github.com/nixtla/statsforecast](https://github.com/nixtla/statsforecast)  
-37 stars per week over 54 weeks  
-2,009 stars, 117 forks, 20 watches  
-created 2021-11-24, last commit 2022-12-06, main language Python  
-<sub><sup>arima, auto-arima, autoarima, baselines, econometrics, ets, exponential-smoothing, fbprophet, forecasting, machine-learning, mstl, naive, neuralprophet, predictions, prophet, python, seasonal-naive, statistics, theta, time-series</sup></sub>
-
-
-### [pyflux](https://github.com/rjt1990/pyflux) by [rjt1990](https://github.com/rjt1990)  
-pyflux: Open source time series library for Python  
-[https://github.com/rjt1990/pyflux](https://github.com/rjt1990/pyflux)  
-5.63 stars per week over 355 weeks  
-1,998 stars, 233 forks, 70 watches  
-created 2016-02-16, last commit 2018-12-16, main language Python  
-<sub><sup>statistics, time-series</sup></sub>
-
-
 ### [orbit](https://github.com/uber/orbit) by [uber](https://github.com/uber)  
 orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.  
 [https://orbit-ml.readthedocs.io/en/stable/](https://orbit-ml.readthedocs.io/en/stable/)  
 [https://github.com/uber/orbit](https://github.com/uber/orbit)  
-10 stars per week over 152 weeks  
-1,553 stars, 115 forks, 31 watches  
-created 2020-01-07, last commit 2022-11-30, main language Python  
+9.76 stars per week over 164 weeks  
+1,608 stars, 120 forks, 33 watches  
+created 2020-01-07, last commit 2023-01-29, main language Python  
 <sub><sup>arima, bayesian, bayesian-methods, bayesian-statistics, changepoint, exponential-smoothing, forecast, forecasting, machine-learning, orbit, probabilistic, probabilistic-programming, pyro, pystan, python, pytorch, regression, regression-models, stan, time-series</sup></sub>
 
 
+### [flow-forecast](https://github.com/aistream-peelout/flow-forecast) by [aistream-peelout](https://github.com/aistream-peelout)  
+flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).  
+[https://flow-forecast.atlassian.net/wiki/spaces/FF/overview](https://flow-forecast.atlassian.net/wiki/spaces/FF/overview)  
+[https://github.com/aistream-peelout/flow-forecast](https://github.com/aistream-peelout/flow-forecast)  
+7.17 stars per week over 185 weeks  
+1,330 stars, 227 forks, 21 watches  
+created 2019-08-15, last commit 2023-02-27, main language Python  
+<sub><sup>anomaly-detection, deep-learning, deep-neural-networks, forecasting, hacktoberfest, lstm, pytorch, state-of-the-art-models, time-series, time-series-analysis, time-series-forecasting, time-series-regression, transfer-learning, transformer</sup></sub>
+
+
+### [pastas](https://github.com/pastas/pastas)  
+pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.  
+[https://pastas.readthedocs.io](https://pastas.readthedocs.io)  
+[https://github.com/pastas/pastas](https://github.com/pastas/pastas)  
+0.82 stars per week over 359 weeks  
+295 stars, 55 forks, 18 watches  
+created 2016-04-15, last commit 2023-02-07, main language Python  
+<sub><sup>analysis, groundwater, hydrology, pastas, python, timeseries</sup></sub>
+
+
 ### [pmdarima](https://github.com/alkaline-ml/pmdarima) by [alkaline-ml](https://github.com/alkaline-ml)  
 pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.  
 [https://www.alkaline-ml.com/pmdarima](https://www.alkaline-ml.com/pmdarima)  
 [https://github.com/alkaline-ml/pmdarima](https://github.com/alkaline-ml/pmdarima)  
-4.32 stars per week over 296 weeks  
-1,282 stars, 222 forks, 36 watches  
-created 2017-03-30, last commit 2022-11-03, main language Python  
+4.29 stars per week over 309 weeks  
+1,327 stars, 220 forks, 36 watches  
+created 2017-03-30, last commit 2022-12-20, main language Python  
 <sub><sup>arima, econometrics, forecasting, forecasting-models, machine-learning, pmdarima, python, sarimax, time-series</sup></sub>
 
 
-### [flow-forecast](https://github.com/aistream-peelout/flow-forecast) by [aistream-peelout](https://github.com/aistream-peelout)  
-flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).  
-[https://flow-forecast.atlassian.net/wiki/spaces/FF/overview](https://flow-forecast.atlassian.net/wiki/spaces/FF/overview)  
-[https://github.com/aistream-peelout/flow-forecast](https://github.com/aistream-peelout/flow-forecast)  
-7.05 stars per week over 172 weeks  
-1,218 stars, 207 forks, 19 watches  
-created 2019-08-15, last commit 2022-12-06, main language Python  
-<sub><sup>anomaly-detection, deep-learning, deep-neural-networks, forecasting, hacktoberfest, lstm, pytorch, state-of-the-art-models, time-series, time-series-analysis, time-series-forecasting, time-series-regression, transfer-learning, transformer</sup></sub>
+### [microprediction](https://github.com/microprediction/microprediction)  
+microprediction: If you can measure it, consider it predicted  
+[http://www.microprediction.org](http://www.microprediction.org)  
+[https://github.com/microprediction/microprediction](https://github.com/microprediction/microprediction)  
+1.51 stars per week over 158 weeks  
+239 stars, 39 forks, 13 watches  
+created 2020-02-20, last commit 2023-03-04, main language Jupyter Notebook  
+<sub><sup>fbprophet, filterpy, hmmlearn, kalman-filter, keras, nowcasting, online-algorithms, pmdarima, time-series, timeseries, timeseries-analysis, timeseries-clustering, timeseries-data, timeseries-database, timeseries-forecasting, timeseries-prediction, tsfresh, tslearn</sup></sub>
 
 
 ### [AutoTS](https://github.com/winedarksea/autots) by [winedarksea](https://github.com/winedarksea)  
 AutoTS: Automated Time Series Forecasting  
 [https://github.com/winedarksea/autots](https://github.com/winedarksea/autots)  
-4.03 stars per week over 158 weeks  
-638 stars, 58 forks, 13 watches  
-created 2019-11-26, last commit 2022-11-15, main language Python  
+3.99 stars per week over 170 weeks  
+681 stars, 65 forks, 14 watches  
+created 2019-11-26, last commit 2023-02-02, main language Python  
 <sub><sup>automl, autots, deep-learning, feature-engineering, forecasting, machine-learning, preprocessing, time-series</sup></sub>
 
 
+### [arch](https://github.com/bashtage/arch) by [bashtage](https://github.com/bashtage)  
+ARCH models in Python  
+[https://github.com/bashtage/arch](https://github.com/bashtage/arch)  
+2.41 stars per week over 444 weeks  
+1,072 stars, 229 forks, 42 watches  
+created 2014-08-29, last commit 2022-11-10, main language Python  
+<sub><sup>adf, arch, bootstrap, df-gls, dickey-fuller, finance, financial-econometrics, forecasting, model-confidence-set, multiple-comparison-procedures, phillips-perron, reality-check, risk, spa, time-series, unit-root, variance, volatility</sup></sub>
+
+
 ### [Auto_TS](https://github.com/autoviml/auto_ts) by [autoviml](https://github.com/autoviml)  
 Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.  
 [https://github.com/autoviml/auto_ts](https://github.com/autoviml/auto_ts)  
-3.48 stars per week over 146 weeks  
-510 stars, 92 forks, 16 watches  
-created 2020-02-15, last commit 2022-08-16, main language Jupyter Notebook  
+3.46 stars per week over 159 weeks  
+550 stars, 97 forks, 17 watches  
+created 2020-02-15, last commit 2023-02-22, main language Jupyter Notebook  
 <sub><sup>arima, auto-arima, auto-sklearn, auto-timeseries, autokeras, automl, autosklearn, prophet, python, python3, sklearn, time-series, time-series-analysis, tpot</sup></sub>
 
 
+### [pyflux](https://github.com/rjt1990/pyflux) by [rjt1990](https://github.com/rjt1990)  
+pyflux: Open source time series library for Python  
+[https://github.com/rjt1990/pyflux](https://github.com/rjt1990/pyflux)  
+5.47 stars per week over 367 weeks  
+2,013 stars, 236 forks, 70 watches  
+created 2016-02-16, last commit 2018-12-16, main language Python  
+<sub><sup>statistics, time-series</sup></sub>
+
+
+### [DeepTime](https://github.com/salesforce/deeptime) by [salesforce](https://github.com/salesforce)  
+PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting  
+[https://github.com/salesforce/deeptime](https://github.com/salesforce/deeptime)  
+5.91 stars per week over 35 weeks  
+212 stars, 36 forks, 7 watches  
+created 2022-06-27, last commit 2022-11-03, main language Python  
+<sub><sup>deep-learning, forecasting, implicit-neural-representation, meta-learning, time-series, time-series-forecasting, time-series-regression</sup></sub>
+
+
 ### [atspy](https://github.com/firmai/atspy) by [firmai](https://github.com/firmai)  
 AtsPy: Automated Time Series Models in Python (by @firmai)  
 [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631)  
 [https://github.com/firmai/atspy](https://github.com/firmai/atspy)  
-3.1 stars per week over 149 weeks  
-462 stars, 88 forks, 21 watches  
+2.94 stars per week over 161 weeks  
+476 stars, 88 forks, 20 watches  
 created 2020-01-28, last commit 2021-12-18, main language Python  
 <sub><sup>automated, finance, forecasting, forecasting-models, python, time-series, time-series-analysis</sup></sub>
 
 
-### [pastas](https://github.com/pastas/pastas)  
-pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.  
-[http://pastas.readthedocs.io/](http://pastas.readthedocs.io/)  
-[https://github.com/pastas/pastas](https://github.com/pastas/pastas)  
-0.79 stars per week over 346 weeks  
-274 stars, 54 forks, 15 watches  
-created 2016-04-15, last commit 2022-08-02, main language Jupyter Notebook  
-<sub><sup>analysis, groundwater, hydrology, pastas, python, timeseries</sup></sub>
-
-
-### [DeepTime](https://github.com/salesforce/deeptime) by [salesforce](https://github.com/salesforce)  
-PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting  
-[https://github.com/salesforce/deeptime](https://github.com/salesforce/deeptime)  
-6.66 stars per week over 23 weeks  
-155 stars, 22 forks, 5 watches  
-created 2022-06-27, last commit 2022-11-03, main language Python  
-<sub><sup>deep-learning, forecasting, implicit-neural-representation, meta-learning, time-series, time-series-forecasting, time-series-regression</sup></sub>
+### [PyCausality](https://github.com/zackeskin/pycausality) by [zackeskin](https://github.com/zackeskin)  
+PyCausality: Calculate predictive causality between time series using information-theoretic techniques  
+[https://github.com/zackeskin/pycausality](https://github.com/zackeskin/pycausality)  
+0.28 stars per week over 240 weeks  
+67 stars, 22 forks, 6 watches  
+created 2018-07-26, last commit 2018-12-24, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/typing.md b/categories/typing.md
index d6da7bd..3696de9 100644
--- a/categories/typing.md
+++ b/categories/typing.md
@@ -1,35 +1,35 @@
 # Crazy Awesome Python
-A selection of 10 curated typing Python libraries and frameworks ordered by stars.  
+A selection of 9 curated typing Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
+### [pyright](https://github.com/microsoft/pyright) by [microsoft](https://github.com/microsoft)  
+pyright: Static type checker for Python  
+[https://github.com/microsoft/pyright](https://github.com/microsoft/pyright)  
+47 stars per week over 207 weeks  
+9,793 stars, 849 forks, 94 watches  
+created 2019-03-12, last commit 2023-03-04, main language Python  
+
+
 ### [mypy](https://github.com/python/mypy) by [python](https://github.com/python)  
 mypy: Optional static typing for Python  
-[http://www.mypy-lang.org/](http://www.mypy-lang.org/)  
+[https://www.mypy-lang.org/](https://www.mypy-lang.org/)  
 [https://github.com/python/mypy](https://github.com/python/mypy)  
-27 stars per week over 521 weeks  
-14,283 stars, 2,374 forks, 223 watches  
-created 2012-12-07, last commit 2022-12-06, main language Python  
+27 stars per week over 534 weeks  
+14,936 stars, 2,463 forks, 228 watches  
+created 2012-12-07, last commit 2023-03-03, main language Python  
 <sub><sup>linter, python, typechecker, types, typing</sup></sub>
 
 
-### [pyright](https://github.com/microsoft/pyright) by [microsoft](https://github.com/microsoft)  
-pyright: Static type checker for Python  
-[https://github.com/microsoft/pyright](https://github.com/microsoft/pyright)  
-45 stars per week over 195 weeks  
-8,852 stars, 612 forks, 77 watches  
-created 2019-03-12, last commit 2022-12-07, main language Python  
-
-
 ### [pyre-check](https://github.com/facebook/pyre-check) by [facebook](https://github.com/facebook)  
 pyre-check: Performant type-checking for python.  
 [https://pyre-check.org/](https://pyre-check.org/)  
 [https://github.com/facebook/pyre-check](https://github.com/facebook/pyre-check)  
-23 stars per week over 264 weeks  
-6,156 stars, 405 forks, 107 watches  
-created 2017-11-10, last commit 2022-12-07, main language OCaml  
+22 stars per week over 277 weeks  
+6,261 stars, 417 forks, 112 watches  
+created 2017-11-10, last commit 2023-03-03, main language OCaml  
 <sub><sup>abstract-interpretation, code-quality, control-flow-analysis, ocaml, program-analysis, python, security, static-analysis, taint-analysis, type-check, typechecker</sup></sub>
 
 
@@ -37,65 +37,57 @@ created 2017-11-10, last commit 2022-12-07, main language OCaml
 attrs: Python Classes Without Boilerplate  
 [https://www.attrs.org/](https://www.attrs.org/)  
 [https://github.com/python-attrs/attrs](https://github.com/python-attrs/attrs)  
-11 stars per week over 410 weeks  
-4,537 stars, 319 forks, 57 watches  
-created 2015-01-27, last commit 2022-12-07, main language Python  
-<sub><sup>attributes, boilerplate, classes, oop, python, srp</sup></sub>
+11 stars per week over 422 weeks  
+4,659 stars, 337 forks, 59 watches  
+created 2015-01-27, last commit 2023-02-27, main language Python  
+<sub><sup>attributes, boilerplate, classes, oop, python</sup></sub>
 
 
 ### [pytype](https://github.com/google/pytype) by [google](https://github.com/google)  
 pytype: A static type analyzer for Python code  
 [https://google.github.io/pytype](https://google.github.io/pytype)  
 [https://github.com/google/pytype](https://github.com/google/pytype)  
-9.94 stars per week over 403 weeks  
-4,006 stars, 259 forks, 55 watches  
-created 2015-03-18, last commit 2022-12-06, main language Python  
+9.93 stars per week over 415 weeks  
+4,128 stars, 267 forks, 56 watches  
+created 2015-03-18, last commit 2023-03-03, main language Python  
 <sub><sup>linter, python, static-analysis, static-code-analysis, typechecker, types, typing</sup></sub>
 
 
+### [typeguard](https://github.com/agronholm/typeguard) by [agronholm](https://github.com/agronholm)  
+typeguard: Run-time type checker for Python  
+[https://github.com/agronholm/typeguard](https://github.com/agronholm/typeguard)  
+2.98 stars per week over 375 weeks  
+1,117 stars, 82 forks, 16 watches  
+created 2015-12-27, last commit 2023-03-01, main language Python  
+
+
 ### [torchtyping](https://github.com/patrick-kidger/torchtyping) by [patrick-kidger](https://github.com/patrick-kidger)  
 torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.  
 [https://github.com/patrick-kidger/torchtyping](https://github.com/patrick-kidger/torchtyping)  
-12 stars per week over 88 weeks  
-1,149 stars, 27 forks, 13 watches  
-created 2021-03-28, last commit 2022-07-11, main language Python  
+11 stars per week over 101 weeks  
+1,202 stars, 28 forks, 14 watches  
+created 2021-03-28, last commit 2023-01-20, main language Python  
 <sub><sup>named-tensors, python-typing, pytorch, shape, tensors, typing</sup></sub>
 
 
-### [typeguard](https://github.com/agronholm/typeguard) by [agronholm](https://github.com/agronholm)  
-typeguard: Run-time type checker for Python  
-[https://github.com/agronholm/typeguard](https://github.com/agronholm/typeguard)  
-2.94 stars per week over 362 weeks  
-1,064 stars, 79 forks, 17 watches  
-created 2015-12-27, last commit 2022-10-11, main language Python  
-
-
 ### [cattrs](https://github.com/python-attrs/cattrs) by [python-attrs](https://github.com/python-attrs)  
 cattrs: Complex custom class converters for attrs.  
 [https://github.com/python-attrs/cattrs](https://github.com/python-attrs/cattrs)  
-1.73 stars per week over 327 weeks  
-568 stars, 81 forks, 16 watches  
-created 2016-08-28, last commit 2022-11-30, main language Python  
+1.77 stars per week over 340 weeks  
+603 stars, 86 forks, 16 watches  
+created 2016-08-28, last commit 2023-03-02, main language Python  
 <sub><sup>attrs, deserialization, serialization</sup></sub>
 
 
 ### [autotyping](https://github.com/jellezijlstra/autotyping) by [jellezijlstra](https://github.com/jellezijlstra)  
 jellezijlstra/autotyping  
 [https://github.com/jellezijlstra/autotyping](https://github.com/jellezijlstra/autotyping)  
-1.16 stars per week over 75 weeks  
-88 stars, 7 forks, 3 watches  
-created 2021-06-25, last commit 2022-10-13, main language Python  
-
-
-### [docutils-stubs](https://github.com/tk0miya/docutils-stubs) by [tk0miya](https://github.com/tk0miya)  
-tk0miya/docutils-stubs  
-[https://github.com/tk0miya/docutils-stubs](https://github.com/tk0miya/docutils-stubs)  
-0.03 stars per week over 213 weeks  
-7 stars, 5 forks, 6 watches  
-created 2018-11-02, last commit 2022-01-02, main language Python  
+1.43 stars per week over 88 weeks  
+126 stars, 9 forks, 4 watches  
+created 2021-06-25, last commit 2023-03-03, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/util.md b/categories/util.md
index dd7636b..94e4a1d 100644
--- a/categories/util.md
+++ b/categories/util.md
@@ -1,1101 +1,1163 @@
 # Crazy Awesome Python
-A selection of 132 curated util Python libraries and frameworks ordered by stars.  
+A selection of 146 curated util Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
 
 
+### [cpython](https://github.com/python/cpython) by [python](https://github.com/python)  
+cpython: The Python programming language  
+[https://www.python.org/](https://www.python.org/)  
+[https://github.com/python/cpython](https://github.com/python/cpython)  
+161 stars per week over 316 weeks  
+50,982 stars, 25,966 forks, 1,473 watches  
+created 2017-02-10, last commit 2023-03-04, main language Python  
+
+
 ### [core](https://github.com/home-assistant/core) by [home-assistant](https://github.com/home-assistant)  
 core: :house_with_garden: Open source home automation that puts local control and privacy first.  
 [https://www.home-assistant.io](https://www.home-assistant.io)  
 [https://github.com/home-assistant/core](https://github.com/home-assistant/core)  
-117 stars per week over 481 weeks  
-56,473 stars, 20,808 forks, 1,345 watches  
-created 2013-09-17, last commit 2022-12-07, main language Python  
+118 stars per week over 493 weeks  
+58,588 stars, 22,223 forks, 1,352 watches  
+created 2013-09-17, last commit 2023-03-04, main language Python  
 <sub><sup>asyncio, hacktoberfest, home-automation, internet-of-things, iot, mqtt, python, raspberry-pi</sup></sub>
 
 
-### [cpython](https://github.com/python/cpython) by [python](https://github.com/python)  
-cpython: The Python programming language  
-[https://www.python.org/](https://www.python.org/)  
-[https://github.com/python/cpython](https://github.com/python/cpython)  
-162 stars per week over 303 weeks  
-49,336 stars, 25,142 forks, 1,461 watches  
-created 2017-02-10, last commit 2022-12-07, main language Python  
+### [ruff](https://github.com/charliermarsh/ruff) by [charliermarsh](https://github.com/charliermarsh)  
+ruff: An extremely fast Python linter, written in Rust.  
+[https://beta.ruff.rs](https://beta.ruff.rs)  
+[https://github.com/charliermarsh/ruff](https://github.com/charliermarsh/ruff)  
+319 stars per week over 29 weeks  
+9,508 stars, 302 forks, 48 watches  
+created 2022-08-09, last commit 2023-03-04, main language Rust  
+<sub><sup>linter, pep8, python, python3, ruff, rust, rustpython, static-analysis, static-code-analysis, style-guide, styleguide</sup></sub>
 
 
 ### [black](https://github.com/psf/black) by [psf](https://github.com/psf)  
 black: The uncompromising Python code formatter  
 [https://black.readthedocs.io/en/stable/](https://black.readthedocs.io/en/stable/)  
 [https://github.com/psf/black](https://github.com/psf/black)  
-123 stars per week over 247 weeks  
-30,382 stars, 1,946 forks, 226 watches  
-created 2018-03-14, last commit 2022-11-21, main language Python  
+121 stars per week over 259 weeks  
+31,523 stars, 2,033 forks, 230 watches  
+created 2018-03-14, last commit 2023-02-27, main language Python  
 <sub><sup>autopep8, code, codeformatter, formatter, gofmt, hacktoberfest, pre-commit-hook, python, yapf</sup></sub>
 
 
+### [poetry](https://github.com/python-poetry/poetry) by [python-poetry](https://github.com/python-poetry)  
+poetry: Python packaging and dependency management made easy  
+[https://python-poetry.org](https://python-poetry.org)  
+[https://github.com/python-poetry/poetry](https://github.com/python-poetry/poetry)  
+91 stars per week over 261 weeks  
+24,007 stars, 1,919 forks, 184 watches  
+created 2018-02-28, last commit 2023-03-04, main language Python  
+<sub><sup>dependency-manager, package-manager, packaging, poetry, python</sup></sub>
+
+
 ### [pyenv](https://github.com/pyenv/pyenv)  
 pyenv: Simple Python version management  
 [https://github.com/pyenv/pyenv](https://github.com/pyenv/pyenv)  
-55 stars per week over 535 weeks  
-29,759 stars, 2,642 forks, 382 watches  
-created 2012-08-31, last commit 2022-12-02, main language Roff  
+56 stars per week over 548 weeks  
+30,854 stars, 2,723 forks, 384 watches  
+created 2012-08-31, last commit 2023-03-02, main language Roff  
 <sub><sup>python, shell</sup></sub>
 
 
+### [pydantic](https://github.com/samuelcolvin/pydantic) by [samuelcolvin](https://github.com/samuelcolvin)  
+pydantic: Data validation using Python type hints  
+[https://docs.pydantic.dev](https://docs.pydantic.dev)  
+[https://github.com/samuelcolvin/pydantic](https://github.com/samuelcolvin/pydantic)  
+41 stars per week over 304 weeks  
+12,670 stars, 1,176 forks, 91 watches  
+created 2017-05-03, last commit 2023-03-03, main language Python  
+<sub><sup>hints, json-schema, parsing, pydantic, python, python310, python311, python37, python38, python39, validation</sup></sub>
+
+
 ### [diagrams](https://github.com/mingrammer/diagrams) by [mingrammer](https://github.com/mingrammer)  
 diagrams: :art: Diagram as Code for prototyping cloud system architectures  
 [https://diagrams.mingrammer.com](https://diagrams.mingrammer.com)  
 [https://github.com/mingrammer/diagrams](https://github.com/mingrammer/diagrams)  
-184 stars per week over 148 weeks  
-27,356 stars, 1,669 forks, 348 watches  
-created 2020-02-02, last commit 2022-11-27, main language Python  
+173 stars per week over 161 weeks  
+27,950 stars, 1,717 forks, 346 watches  
+created 2020-02-02, last commit 2023-01-13, main language Python  
 <sub><sup>architecture, diagram, diagram-as-code, graphviz</sup></sub>
 
 
-### [poetry](https://github.com/python-poetry/poetry) by [python-poetry](https://github.com/python-poetry)  
-poetry: Python packaging and dependency management made easy  
-[https://python-poetry.org](https://python-poetry.org)  
-[https://github.com/python-poetry/poetry](https://github.com/python-poetry/poetry)  
-91 stars per week over 249 weeks  
-22,845 stars, 1,849 forks, 185 watches  
-created 2018-02-28, last commit 2022-12-05, main language Python  
-<sub><sup>dependency-manager, package-manager, packaging, poetry, python</sup></sub>
+### [pyodide](https://github.com/pyodide/pyodide)  
+Pyodide is a Python distribution for the browser and Node.js based on WebAssembly  
+[https://pyodide.org/en/stable/](https://pyodide.org/en/stable/)  
+[https://github.com/pyodide/pyodide](https://github.com/pyodide/pyodide)  
+36 stars per week over 262 weeks  
+9,680 stars, 630 forks, 126 watches  
+created 2018-02-23, last commit 2023-03-04, main language Python  
+<sub><sup>python, webassembly</sup></sub>
 
 
-### [algorithms](https://github.com/keon/algorithms) by [keon](https://github.com/keon)  
-algorithms: Minimal examples of data structures and algorithms in Python  
-[https://github.com/keon/algorithms](https://github.com/keon/algorithms)  
-69 stars per week over 315 weeks  
-21,904 stars, 4,420 forks, 642 watches  
-created 2016-11-17, last commit 2022-11-12, main language Python  
-<sub><sup>algorithm, algorithms, competitive-programming, data-structure, graph, python, search, sort, tree</sup></sub>
+### [mkdocs-material](https://github.com/squidfunk/mkdocs-material) by [squidfunk](https://github.com/squidfunk)  
+mkdocs-material: Documentation that simply works  
+[https://squidfunk.github.io/mkdocs-material/](https://squidfunk.github.io/mkdocs-material/)  
+[https://github.com/squidfunk/mkdocs-material](https://github.com/squidfunk/mkdocs-material)  
+34 stars per week over 370 weeks  
+12,958 stars, 2,831 forks, 112 watches  
+created 2016-01-28, last commit 2023-03-03, main language TypeScript  
+<sub><sup>documentation, material-design, mkdocs, static, template, theme</sup></sub>
 
 
-### [pytudes](https://github.com/norvig/pytudes) by [norvig](https://github.com/norvig)  
-pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.  
-[https://github.com/norvig/pytudes](https://github.com/norvig/pytudes)  
-64 stars per week over 301 weeks  
-19,392 stars, 2,231 forks, 712 watches  
-created 2017-03-01, last commit 2022-12-02, main language Jupyter Notebook  
-<sub><sup>demonstrate-skills, practice, programming, python, python-3</sup></sub>
+### [micropython](https://github.com/micropython/micropython)  
+MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems  
+[https://micropython.org](https://micropython.org)  
+[https://github.com/micropython/micropython](https://github.com/micropython/micropython)  
+33 stars per week over 480 weeks  
+16,033 stars, 6,226 forks, 730 watches  
+created 2013-12-20, last commit 2023-03-02, main language C  
+<sub><sup>embedded, microcontroller, micropython, python</sup></sub>
 
 
 ### [ipython](https://github.com/ipython/ipython)  
 ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.  
 [https://ipython.readthedocs.org](https://ipython.readthedocs.org)  
 [https://github.com/ipython/ipython](https://github.com/ipython/ipython)  
-23 stars per week over 656 weeks  
-15,605 stars, 4,401 forks, 775 watches  
-created 2010-05-10, last commit 2022-11-28, main language Python  
+23 stars per week over 668 weeks  
+15,708 stars, 4,420 forks, 768 watches  
+created 2010-05-10, last commit 2023-02-28, main language Python  
 <sub><sup>closember, data-science, hacktoberfest, ipython, jupyter, notebook, python, repl</sup></sub>
 
 
-### [micropython](https://github.com/micropython/micropython)  
-MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems  
-[https://micropython.org](https://micropython.org)  
-[https://github.com/micropython/micropython](https://github.com/micropython/micropython)  
-33 stars per week over 467 weeks  
-15,566 stars, 5,981 forks, 728 watches  
-created 2013-12-20, last commit 2022-12-07, main language C  
-<sub><sup>embedded, microcontroller, micropython, python</sup></sub>
+### [pylint](https://github.com/pycqa/pylint) by [pycqa](https://github.com/pycqa)  
+pylint: It's not just a linter that annoys you!  
+[http://pylint.pycqa.org](http://pylint.pycqa.org)  
+[https://github.com/pycqa/pylint](https://github.com/pycqa/pylint)  
+12 stars per week over 377 weeks  
+4,534 stars, 979 forks, 75 watches  
+created 2015-12-09, last commit 2023-03-03, main language Python  
+<sub><sup>closember, code-quality, hacktoberfest, linter, pep8, static-analysis, static-code-analysis</sup></sub>
+
+
+### [serverless-application-model](https://github.com/aws/serverless-application-model) by [aws](https://github.com/aws)  
+serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.  
+[https://aws.amazon.com/serverless/sam](https://aws.amazon.com/serverless/sam)  
+[https://github.com/aws/serverless-application-model](https://github.com/aws/serverless-application-model)  
+26 stars per week over 333 weeks  
+8,937 stars, 2,302 forks, 298 watches  
+created 2016-10-10, last commit 2023-03-03, main language Python  
+<sub><sup>aws, aws-sam, lambda, sam, sam-specification, serverless, serverless-application-model, serverless-applications</sup></sub>
+
+
+### [Pillow](https://github.com/python-pillow/pillow) by [python-pillow](https://github.com/python-pillow)  
+Pillow: Python Imaging Library (Fork)  
+[https://python-pillow.org](https://python-pillow.org)  
+[https://github.com/python-pillow/pillow](https://github.com/python-pillow/pillow)  
+19 stars per week over 553 weeks  
+10,572 stars, 1,988 forks, 218 watches  
+created 2012-07-24, last commit 2023-03-04, main language Python  
+<sub><sup>c, cross-platform, image, image-processing, pil, pillow, python, python-3</sup></sub>
+
+
+### [mamba](https://github.com/mamba-org/mamba) by [mamba-org](https://github.com/mamba-org)  
+mamba: The Fast Cross-Platform Package Manager  
+[https://mamba.readthedocs.io](https://mamba.readthedocs.io)  
+[https://github.com/mamba-org/mamba](https://github.com/mamba-org/mamba)  
+20 stars per week over 208 weeks  
+4,274 stars, 247 forks, 44 watches  
+created 2019-03-05, last commit 2023-03-03, main language C++  
 
 
 ### [avatarify-python](https://github.com/alievk/avatarify-python) by [alievk](https://github.com/alievk)  
 avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.  
 [https://github.com/alievk/avatarify-python](https://github.com/alievk/avatarify-python)  
-109 stars per week over 139 weeks  
-15,282 stars, 2,354 forks, 305 watches  
+101 stars per week over 151 weeks  
+15,436 stars, 2,411 forks, 302 watches  
 created 2020-04-06, last commit 2022-11-11, main language Python  
 
 
-### [kivy](https://github.com/kivy/kivy)  
-kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS  
-[https://kivy.org](https://kivy.org)  
-[https://github.com/kivy/kivy](https://github.com/kivy/kivy)  
-24 stars per week over 631 weeks  
-15,268 stars, 2,961 forks, 616 watches  
-created 2010-11-03, last commit 2022-11-28, main language Python  
-<sub><sup>android, app, ios, kivy, linux, macos, python, ui, windows</sup></sub>
+### [circuitpython](https://github.com/adafruit/circuitpython) by [adafruit](https://github.com/adafruit)  
+CircuitPython - a Python implementation for teaching coding with microcontrollers  
+[https://circuitpython.org](https://circuitpython.org)  
+[https://github.com/adafruit/circuitpython](https://github.com/adafruit/circuitpython)  
+10 stars per week over 341 weeks  
+3,423 stars, 920 forks, 130 watches  
+created 2016-08-20, last commit 2023-03-03, main language C  
+<sub><sup>beginner, circuitpython, cpython, education, embedded, hacktoberfest, microcontroller, micropython, python, python3</sup></sub>
 
 
-### [loguru](https://github.com/delgan/loguru) by [delgan](https://github.com/delgan)  
-loguru: Python logging made (stupidly) simple  
-[https://github.com/delgan/loguru](https://github.com/delgan/loguru)  
-48 stars per week over 277 weeks  
-13,525 stars, 569 forks, 119 watches  
-created 2017-08-15, last commit 2022-12-02, main language Python  
-<sub><sup>log, logger, logging, python</sup></sub>
+### [pre-commit](https://github.com/pre-commit/pre-commit)  
+pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.  
+[https://pre-commit.com](https://pre-commit.com)  
+[https://github.com/pre-commit/pre-commit](https://github.com/pre-commit/pre-commit)  
+21 stars per week over 468 weeks  
+9,894 stars, 709 forks, 90 watches  
+created 2014-03-13, last commit 2023-03-04, main language Python  
+<sub><sup>git, linter, pre-commit, python, refactoring</sup></sub>
 
 
-### [mkdocs-material](https://github.com/squidfunk/mkdocs-material) by [squidfunk](https://github.com/squidfunk)  
-mkdocs-material: Documentation that simply works  
-[https://squidfunk.github.io/mkdocs-material/](https://squidfunk.github.io/mkdocs-material/)  
-[https://github.com/squidfunk/mkdocs-material](https://github.com/squidfunk/mkdocs-material)  
-33 stars per week over 357 weeks  
-11,935 stars, 2,641 forks, 112 watches  
-created 2016-01-28, last commit 2022-12-07, main language TypeScript  
-<sub><sup>documentation, material-design, mkdocs, static, template, theme</sup></sub>
+### [openai-python](https://github.com/openai/openai-python) by [openai](https://github.com/openai)  
+openai-python: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.  
+[https://github.com/openai/openai-python](https://github.com/openai/openai-python)  
+39 stars per week over 123 weeks  
+4,856 stars, 779 forks, 114 watches  
+created 2020-10-25, last commit 2023-03-03, main language Python  
+<sub><sup>openai, python</sup></sub>
 
 
-### [pydantic](https://github.com/samuelcolvin/pydantic) by [samuelcolvin](https://github.com/samuelcolvin)  
-pydantic: Data parsing and validation using Python type hints  
-[https://docs.pydantic.dev](https://docs.pydantic.dev)  
-[https://github.com/samuelcolvin/pydantic](https://github.com/samuelcolvin/pydantic)  
-40 stars per week over 292 weeks  
-11,851 stars, 1,103 forks, 89 watches  
-created 2017-05-03, last commit 2022-12-06, main language Python  
-<sub><sup>hints, json-schema, parsing, pydantic, python, python310, python311, python37, python38, python39, validation</sup></sub>
+### [spack](https://github.com/spack/spack)  
+spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.  
+[https://spack.io](https://spack.io)  
+[https://github.com/spack/spack](https://github.com/spack/spack)  
+6.77 stars per week over 477 weeks  
+3,233 stars, 1,839 forks, 103 watches  
+created 2014-01-08, last commit 2023-03-03, main language Python  
+<sub><sup>build-tools, hpc, linux, macos, package-manager, python, radiuss, scientific-computing, spack</sup></sub>
 
 
-### [Pillow](https://github.com/python-pillow/pillow) by [python-pillow](https://github.com/python-pillow)  
-Pillow: The friendly PIL fork (Python Imaging Library)  
-[https://python-pillow.org](https://python-pillow.org)  
-[https://github.com/python-pillow/pillow](https://github.com/python-pillow/pillow)  
-19 stars per week over 541 weeks  
-10,351 stars, 1,951 forks, 218 watches  
-created 2012-07-24, last commit 2022-12-06, main language Python  
-<sub><sup>c, cross-platform, image, image-processing, pil, pillow, python, python-3</sup></sub>
+### [pedalboard](https://github.com/spotify/pedalboard) by [spotify](https://github.com/spotify)  
+pedalboard: 🎛 🔊 A Python library for working with audio.  
+[https://github.com/spotify/pedalboard](https://github.com/spotify/pedalboard)  
+46 stars per week over 86 weeks  
+4,034 stars, 170 forks, 53 watches  
+created 2021-07-06, last commit 2023-02-22, main language C++  
+<sub><sup>audio, audio-processing, audio-production, audio-research, audio-unit, juce, pybind11, python, tensorflow, vst3, vst3-host</sup></sub>
 
 
 ### [pyinstaller](https://github.com/pyinstaller/pyinstaller)  
 pyinstaller: Freeze (package) Python programs into stand-alone executables  
 [http://www.pyinstaller.org](http://www.pyinstaller.org)  
 [https://github.com/pyinstaller/pyinstaller](https://github.com/pyinstaller/pyinstaller)  
-17 stars per week over 576 weeks  
-9,805 stars, 1,846 forks, 233 watches  
-created 2011-11-23, last commit 2022-12-05, main language Python  
+17 stars per week over 588 weeks  
+10,076 stars, 1,860 forks, 232 watches  
+created 2011-11-23, last commit 2023-02-26, main language Python  
 <sub><sup>bundle, package, py2app, py2exe, pyinstaller, python, python-3, python-to-exe</sup></sub>
 
 
-### [pyodide](https://github.com/pyodide/pyodide)  
-Pyodide is a Python distribution for the browser and Node.js based on WebAssembly  
-[https://pyodide.org/en/stable/](https://pyodide.org/en/stable/)  
-[https://github.com/pyodide/pyodide](https://github.com/pyodide/pyodide)  
-37 stars per week over 249 weeks  
-9,376 stars, 613 forks, 124 watches  
-created 2018-02-23, last commit 2022-12-06, main language Python  
-<sub><sup>python, webassembly</sup></sub>
-
-
-### [pre-commit](https://github.com/pre-commit/pre-commit)  
-pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.  
-[https://pre-commit.com](https://pre-commit.com)  
-[https://github.com/pre-commit/pre-commit](https://github.com/pre-commit/pre-commit)  
-20 stars per week over 455 weeks  
-9,296 stars, 686 forks, 82 watches  
-created 2014-03-13, last commit 2022-11-29, main language Python  
-<sub><sup>git, linter, pre-commit, python, refactoring</sup></sub>
+### [boto3](https://github.com/boto/boto3) by [boto](https://github.com/boto)  
+boto3: AWS SDK for Python  
+[https://aws.amazon.com/sdk-for-python/](https://aws.amazon.com/sdk-for-python/)  
+[https://github.com/boto/boto3](https://github.com/boto/boto3)  
+18 stars per week over 439 weeks  
+7,925 stars, 1,729 forks, 240 watches  
+created 2014-10-03, last commit 2023-03-03, main language Python  
+<sub><sup>aws, aws-sdk, cloud, cloud-management, python</sup></sub>
 
 
-### [uvloop](https://github.com/magicstack/uvloop) by [magicstack](https://github.com/magicstack)  
-uvloop: Ultra fast asyncio event loop.  
-[https://github.com/magicstack/uvloop](https://github.com/magicstack/uvloop)  
-24 stars per week over 369 weeks  
-9,053 stars, 522 forks, 225 watches  
-created 2015-11-08, last commit 2022-09-14, main language Cython  
-<sub><sup>async, async-await, async-python, asyncio, event-loop, high-performance, libuv, networking, python, python-3</sup></sub>
+### [kivy](https://github.com/kivy/kivy)  
+kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS  
+[https://kivy.org](https://kivy.org)  
+[https://github.com/kivy/kivy](https://github.com/kivy/kivy)  
+24 stars per week over 643 weeks  
+15,574 stars, 2,997 forks, 620 watches  
+created 2010-11-03, last commit 2023-02-25, main language Python  
+<sub><sup>android, app, ios, kivy, linux, macos, python, ui, windows</sup></sub>
 
 
-### [jinja](https://github.com/pallets/jinja) by [pallets](https://github.com/pallets)  
-jinja: A very fast and expressive template engine.  
-[https://jinja.palletsprojects.com](https://jinja.palletsprojects.com)  
-[https://github.com/pallets/jinja](https://github.com/pallets/jinja)  
-14 stars per week over 633 weeks  
-8,921 stars, 1,525 forks, 254 watches  
-created 2010-10-17, last commit 2022-11-01, main language Python  
-<sub><sup>jinja, jinja2, pallets, python, template-engine, templates</sup></sub>
+### [hydra](https://github.com/facebookresearch/hydra) by [facebookresearch](https://github.com/facebookresearch)  
+Hydra is a framework for elegantly configuring complex applications  
+[https://hydra.cc](https://hydra.cc)  
+[https://github.com/facebookresearch/hydra](https://github.com/facebookresearch/hydra)  
+35 stars per week over 194 weeks  
+6,848 stars, 561 forks, 87 watches  
+created 2019-06-12, last commit 2023-02-25, main language Python  
 
 
-### [serverless-application-model](https://github.com/aws/serverless-application-model) by [aws](https://github.com/aws)  
-serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.  
-[https://aws.amazon.com/serverless/sam](https://aws.amazon.com/serverless/sam)  
-[https://github.com/aws/serverless-application-model](https://github.com/aws/serverless-application-model)  
-27 stars per week over 321 weeks  
-8,842 stars, 2,270 forks, 310 watches  
-created 2016-10-10, last commit 2022-12-06, main language Python  
-<sub><sup>aws, aws-sam, lambda, sam, sam-specification, serverless, serverless-application-model, serverless-applications</sup></sub>
+### [refurb](https://github.com/dosisod/refurb) by [dosisod](https://github.com/dosisod)  
+refurb: A tool for refurbishing and modernizing Python codebases  
+[https://github.com/dosisod/refurb](https://github.com/dosisod/refurb)  
+68 stars per week over 31 weeks  
+2,153 stars, 42 forks, 16 watches  
+created 2022-07-27, last commit 2023-03-04, main language Python  
+<sub><sup>cli, gplv3, hacktoberfest, mypy, python, python310, testing</sup></sub>
 
 
-### [arrow](https://github.com/arrow-py/arrow) by [arrow-py](https://github.com/arrow-py)  
-arrow: 🏹 Better dates & times for Python  
-[https://arrow.readthedocs.io](https://arrow.readthedocs.io)  
-[https://github.com/arrow-py/arrow](https://github.com/arrow-py/arrow)  
-15 stars per week over 524 weeks  
-8,149 stars, 634 forks, 134 watches  
-created 2012-11-18, last commit 2022-11-15, main language Python  
-<sub><sup>arrow, date, datetime, hacktoberfest, python, time, timestamp, timezones</sup></sub>
+### [sphinx](https://github.com/sphinx-doc/sphinx) by [sphinx-doc](https://github.com/sphinx-doc)  
+sphinx: The Sphinx documentation generator  
+[https://www.sphinx-doc.org/](https://www.sphinx-doc.org/)  
+[https://github.com/sphinx-doc/sphinx](https://github.com/sphinx-doc/sphinx)  
+12 stars per week over 426 weeks  
+5,244 stars, 1,878 forks, 142 watches  
+created 2015-01-02, last commit 2023-02-18, main language Python  
+<sub><sup>documentation, documentation-tool, markdown, python, restructuredtext, sphinx</sup></sub>
 
 
-### [paramiko](https://github.com/paramiko/paramiko)  
-paramiko: The leading native Python SSHv2 protocol library.  
-[http://paramiko.org](http://paramiko.org)  
-[https://github.com/paramiko/paramiko](https://github.com/paramiko/paramiko)  
-11 stars per week over 722 weeks  
-8,018 stars, 1,885 forks, 320 watches  
-created 2009-02-02, last commit 2022-11-04, main language Python  
+### [point-e](https://github.com/openai/point-e) by [openai](https://github.com/openai)  
+point-e: Point cloud diffusion for 3D model synthesis  
+[https://github.com/openai/point-e](https://github.com/openai/point-e)  
+354 stars per week over 12 weeks  
+4,512 stars, 458 forks, 166 watches  
+created 2022-12-06, last commit 2022-12-20, main language Python  
 
 
-### [boto3](https://github.com/boto/boto3) by [boto](https://github.com/boto)  
-boto3: AWS SDK for Python  
-[https://aws.amazon.com/sdk-for-python/](https://aws.amazon.com/sdk-for-python/)  
-[https://github.com/boto/boto3](https://github.com/boto/boto3)  
-18 stars per week over 426 weeks  
-7,751 stars, 1,685 forks, 238 watches  
-created 2014-10-03, last commit 2022-12-06, main language Python  
-<sub><sup>aws, aws-sdk, cloud, cloud-management, python</sup></sub>
+### [loguru](https://github.com/delgan/loguru) by [delgan](https://github.com/delgan)  
+loguru: Python logging made (stupidly) simple  
+[https://github.com/delgan/loguru](https://github.com/delgan/loguru)  
+49 stars per week over 289 weeks  
+14,237 stars, 589 forks, 120 watches  
+created 2017-08-15, last commit 2023-03-03, main language Python  
+<sub><sup>log, logger, logging, python</sup></sub>
 
 
 ### [cython](https://github.com/cython/cython)  
 cython: The most widely used Python to C compiler  
 [https://cython.org](https://cython.org)  
 [https://github.com/cython/cython](https://github.com/cython/cython)  
-11 stars per week over 628 weeks  
-7,498 stars, 1,343 forks, 230 watches  
-created 2010-11-21, last commit 2022-12-07, main language Python  
+12 stars per week over 641 weeks  
+7,713 stars, 1,364 forks, 231 watches  
+created 2010-11-21, last commit 2023-03-01, main language Python  
 <sub><sup>big-data, c, cpp, cpython, cpython-extensions, cython, performance, python</sup></sub>
 
 
-### [hydra](https://github.com/facebookresearch/hydra) by [facebookresearch](https://github.com/facebookresearch)  
-Hydra is a framework for elegantly configuring complex applications  
-[https://hydra.cc](https://hydra.cc)  
-[https://github.com/facebookresearch/hydra](https://github.com/facebookresearch/hydra)  
-36 stars per week over 182 weeks  
-6,572 stars, 524 forks, 81 watches  
-created 2019-06-12, last commit 2022-12-06, main language Python  
+### [latexify_py](https://github.com/google/latexify_py) by [google](https://github.com/google)  
+latexify_py: A library to generate LaTeX expression from Python code.  
+[https://github.com/google/latexify_py](https://github.com/google/latexify_py)  
+44 stars per week over 136 weeks  
+6,038 stars, 328 forks, 52 watches  
+created 2020-07-25, last commit 2023-01-14, main language Python  
 
 
 ### [pip-tools](https://github.com/jazzband/pip-tools) by [jazzband](https://github.com/jazzband)  
 pip-tools: A set of tools to keep your pinned Python dependencies fresh.  
 [https://pip-tools.rtfd.io](https://pip-tools.rtfd.io)  
 [https://github.com/jazzband/pip-tools](https://github.com/jazzband/pip-tools)  
-12 stars per week over 534 weeks  
-6,442 stars, 551 forks, 105 watches  
-created 2012-09-10, last commit 2022-12-01, main language Python  
+12 stars per week over 546 weeks  
+6,660 stars, 567 forks, 105 watches  
+created 2012-09-10, last commit 2023-03-02, main language Python  
 <sub><sup>hashes, lockfile, packaging, pip, pip-compile, pip-tools, python, requirements, setuptools</sup></sub>
 
 
-### [marshmallow](https://github.com/marshmallow-code/marshmallow) by [marshmallow-code](https://github.com/marshmallow-code)  
-marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.  
-[https://marshmallow.readthedocs.io/](https://marshmallow.readthedocs.io/)  
-[https://github.com/marshmallow-code/marshmallow](https://github.com/marshmallow-code/marshmallow)  
-13 stars per week over 473 weeks  
-6,348 stars, 622 forks, 82 watches  
-created 2013-11-10, last commit 2022-12-05, main language Python  
-<sub><sup>deserialization, hacktoberfest, marshalling, python, python-3, schema, serde, serialization, validation</sup></sub>
+### [scikit-image](https://github.com/scikit-image/scikit-image)  
+scikit-image: Image processing in Python  
+[https://scikit-image.org](https://scikit-image.org)  
+[https://github.com/scikit-image/scikit-image](https://github.com/scikit-image/scikit-image)  
+8.67 stars per week over 608 weeks  
+5,277 stars, 2,106 forks, 185 watches  
+created 2011-07-07, last commit 2023-03-02, main language Python  
+<sub><sup>closember, computer-vision, hacktoberfest, image-processing, python</sup></sub>
 
 
-### [pipx](https://github.com/pypa/pipx) by [pypa](https://github.com/pypa)  
-pipx: Install and Run Python Applications in Isolated Environments  
-[https://pypa.github.io/pipx/](https://pypa.github.io/pipx/)  
-[https://github.com/pypa/pipx](https://github.com/pypa/pipx)  
-26 stars per week over 217 weeks  
-5,769 stars, 265 forks, 65 watches  
-created 2018-10-06, last commit 2022-12-01, main language Python  
-<sub><sup>cli, hacktoberfest, pip, pypi, python, venv</sup></sub>
+### [pyston](https://github.com/pyston/pyston)  
+pyston: A faster and highly-compatible implementation of the Python programming language.  
+[https://www.pyston.org/](https://www.pyston.org/)  
+[https://github.com/pyston/pyston](https://github.com/pyston/pyston)  
+22 stars per week over 104 weeks  
+2,348 stars, 85 forks, 34 watches  
+created 2021-03-01, last commit 2023-02-28, main language Python  
 
 
-### [latexify_py](https://github.com/google/latexify_py) by [google](https://github.com/google)  
-latexify_py: A library to generate LaTeX expression from Python code.  
-[https://github.com/google/latexify_py](https://github.com/google/latexify_py)  
-45 stars per week over 123 weeks  
-5,679 stars, 310 forks, 51 watches  
-created 2020-07-25, last commit 2022-12-07, main language Python  
+### [cryptography](https://github.com/pyca/cryptography) by [pyca](https://github.com/pyca)  
+cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.  
+[https://cryptography.io](https://cryptography.io)  
+[https://github.com/pyca/cryptography](https://github.com/pyca/cryptography)  
+10 stars per week over 499 weeks  
+5,391 stars, 1,141 forks, 121 watches  
+created 2013-08-07, last commit 2023-03-04, main language Python  
+<sub><sup>cryptography, python</sup></sub>
 
 
-### [PyGithub](https://github.com/pygithub/pygithub) by [pygithub](https://github.com/pygithub)  
-PyGithub: Typed interactions with the GitHub API v3  
-[https://pygithub.readthedocs.io/](https://pygithub.readthedocs.io/)  
-[https://github.com/pygithub/pygithub](https://github.com/pygithub/pygithub)  
-10 stars per week over 562 weeks  
-5,646 stars, 1,554 forks, 113 watches  
-created 2012-02-25, last commit 2022-11-09, main language Python  
-<sub><sup>github, github-api, pygithub, python</sup></sub>
+### [paramiko](https://github.com/paramiko/paramiko)  
+paramiko: The leading native Python SSHv2 protocol library.  
+[http://paramiko.org](http://paramiko.org)  
+[https://github.com/paramiko/paramiko](https://github.com/paramiko/paramiko)  
+11 stars per week over 734 weeks  
+8,190 stars, 1,915 forks, 319 watches  
+created 2009-02-02, last commit 2023-03-03, main language Python  
 
 
-### [python-dotenv](https://github.com/theskumar/python-dotenv) by [theskumar](https://github.com/theskumar)  
-python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.  
-[https://saurabh-kumar.com/python-dotenv/](https://saurabh-kumar.com/python-dotenv/)  
-[https://github.com/theskumar/python-dotenv](https://github.com/theskumar/python-dotenv)  
-12 stars per week over 430 weeks  
-5,470 stars, 353 forks, 33 watches  
-created 2014-09-06, last commit 2022-11-25, main language Python  
-<sub><sup>12-factor-app, configuration, devops-tools, dotenv, env, environment-variables, python</sup></sub>
+### [PyOxidizer](https://github.com/indygreg/pyoxidizer) by [indygreg](https://github.com/indygreg)  
+PyOxidizer: A modern Python application packaging and distribution tool  
+[https://github.com/indygreg/pyoxidizer](https://github.com/indygreg/pyoxidizer)  
+20 stars per week over 219 weeks  
+4,548 stars, 197 forks, 60 watches  
+created 2018-12-18, last commit 2023-01-21, main language Rust  
 
 
 ### [isort](https://github.com/pycqa/isort) by [pycqa](https://github.com/pycqa)  
 isort: A Python utility / library to sort imports.  
 [https://pycqa.github.io/isort/](https://pycqa.github.io/isort/)  
 [https://github.com/pycqa/isort](https://github.com/pycqa/isort)  
-11 stars per week over 483 weeks  
-5,393 stars, 498 forks, 42 watches  
-created 2013-09-02, last commit 2022-05-20, main language Python  
+11 stars per week over 495 weeks  
+5,647 stars, 519 forks, 46 watches  
+created 2013-09-02, last commit 2023-03-02, main language Python  
 <sub><sup>auto-formatter, cleaner, cli, formatter, hacktoberfest, isort, linter, python, python-utility, python3, sorting-imports</sup></sub>
 
 
-### [cryptography](https://github.com/pyca/cryptography) by [pyca](https://github.com/pyca)  
-cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.  
-[https://cryptography.io](https://cryptography.io)  
-[https://github.com/pyca/cryptography](https://github.com/pyca/cryptography)  
-10 stars per week over 487 weeks  
-5,207 stars, 1,099 forks, 119 watches  
-created 2013-08-07, last commit 2022-12-07, main language Python  
-<sub><sup>cryptography, python</sup></sub>
+### [Tkinter-Designer](https://github.com/parthjadhav/tkinter-designer) by [parthjadhav](https://github.com/parthjadhav)  
+Tkinter-Designer: An easy and fast way to create a Python GUI 🐍  
+[https://github.com/parthjadhav/tkinter-designer](https://github.com/parthjadhav/tkinter-designer)  
+57 stars per week over 93 weeks  
+5,406 stars, 517 forks, 57 watches  
+created 2021-05-18, last commit 2023-02-26, main language Python  
+<sub><sup>automatic, collaborate, drag-and-drop, easy, easy-to-use, fast, figma, gui, gui-application, hacktoberfest, learn, python, python-script, python3, tkinter, tkinter-designer, tkinter-graphic-interface, tkinter-gui, tkinter-python, tkinter-widgets</sup></sub>
 
 
-### [pendulum](https://github.com/sdispater/pendulum) by [sdispater](https://github.com/sdispater)  
-pendulum: Python datetimes made easy  
-[https://pendulum.eustace.io](https://pendulum.eustace.io)  
-[https://github.com/sdispater/pendulum](https://github.com/sdispater/pendulum)  
-15 stars per week over 336 weeks  
-5,204 stars, 308 forks, 63 watches  
-created 2016-06-27, last commit 2022-11-24, main language Python  
-<sub><sup>date, datetime, python, python3, time, timezones</sup></sub>
-
-
-### [scikit-image](https://github.com/scikit-image/scikit-image)  
-scikit-image: Image processing in Python  
-[https://scikit-image.org](https://scikit-image.org)  
-[https://github.com/scikit-image/scikit-image](https://github.com/scikit-image/scikit-image)  
-8.65 stars per week over 595 weeks  
-5,153 stars, 2,076 forks, 187 watches  
-created 2011-07-07, last commit 2022-12-03, main language Python  
-<sub><sup>closember, computer-vision, hacktoberfest, image-processing, python</sup></sub>
-
-
-### [sphinx](https://github.com/sphinx-doc/sphinx) by [sphinx-doc](https://github.com/sphinx-doc)  
-sphinx: The Sphinx documentation generator  
-[https://www.sphinx-doc.org/](https://www.sphinx-doc.org/)  
-[https://github.com/sphinx-doc/sphinx](https://github.com/sphinx-doc/sphinx)  
-12 stars per week over 413 weeks  
-5,031 stars, 1,801 forks, 140 watches  
-created 2015-01-02, last commit 2022-11-30, main language Python  
-<sub><sup>documentation, documentation-tool, markdown, python, restructuredtext, sphinx</sup></sub>
+### [hatch](https://github.com/pypa/hatch) by [pypa](https://github.com/pypa)  
+hatch: Modern, extensible Python project management  
+[https://hatch.pypa.io/latest/](https://hatch.pypa.io/latest/)  
+[https://github.com/pypa/hatch](https://github.com/pypa/hatch)  
+12 stars per week over 300 weeks  
+3,689 stars, 182 forks, 47 watches  
+created 2017-05-31, last commit 2023-02-09, main language Python  
+<sub><sup>build, cli, packaging, plugin, python, versioning, virtualenv</sup></sub>
 
 
-### [PyPDF2](https://github.com/py-pdf/pypdf2) by [py-pdf](https://github.com/py-pdf)  
-PyPDF2: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files  
-[https://pypdf2.readthedocs.io/en/latest/](https://pypdf2.readthedocs.io/en/latest/)  
+### [pypdf](https://github.com/py-pdf/pypdf2) by [py-pdf](https://github.com/py-pdf)  
+pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files  
+[https://pypdf.readthedocs.io/en/latest/](https://pypdf.readthedocs.io/en/latest/)  
 [https://github.com/py-pdf/pypdf2](https://github.com/py-pdf/pypdf2)  
-8.68 stars per week over 569 weeks  
-4,943 stars, 1,135 forks, 139 watches  
-created 2012-01-06, last commit 2022-12-04, main language Python  
+9.05 stars per week over 582 weeks  
+5,269 stars, 1,171 forks, 143 watches  
+created 2012-01-06, last commit 2023-03-04, main language Python  
 <sub><sup>help-wanted, pdf, pdf-documents, pdf-manipulation, pdf-parser, pdf-parsing, pypdf2, python</sup></sub>
 
 
-### [Tkinter-Designer](https://github.com/parthjadhav/tkinter-designer) by [parthjadhav](https://github.com/parthjadhav)  
-Tkinter-Designer: An easy and fast way to create a Python GUI 🐍  
-[https://github.com/parthjadhav/tkinter-designer](https://github.com/parthjadhav/tkinter-designer)  
-60 stars per week over 81 weeks  
-4,889 stars, 461 forks, 51 watches  
-created 2021-05-18, last commit 2022-12-02, main language Python  
-<sub><sup>automatic, collaborate, drag-and-drop, easy, easy-to-use, fast, figma, gui, gui-application, hacktoberfest, learn, python, python-script, python3, tkinter, tkinter-designer, tkinter-graphic-interface, tkinter-gui, tkinter-python, tkinter-widgets</sup></sub>
+### [xarray](https://github.com/pydata/xarray) by [pydata](https://github.com/pydata)  
+xarray: N-D labeled arrays and datasets in Python  
+[https://xarray.dev](https://xarray.dev)  
+[https://github.com/pydata/xarray](https://github.com/pydata/xarray)  
+5.87 stars per week over 491 weeks  
+2,886 stars, 883 forks, 106 watches  
+created 2013-09-30, last commit 2023-03-03, main language Python  
+<sub><sup>dask, netcdf, numpy, pandas, python, xarray</sup></sub>
 
 
-### [pycodestyle](https://github.com/pycqa/pycodestyle) by [pycqa](https://github.com/pycqa)  
-pycodestyle: Simple Python style checker in one Python file  
-[https://pycodestyle.pycqa.org](https://pycodestyle.pycqa.org)  
-[https://github.com/pycqa/pycodestyle](https://github.com/pycqa/pycodestyle)  
-6.88 stars per week over 687 weeks  
-4,730 stars, 683 forks, 119 watches  
-created 2009-10-02, last commit 2022-12-06, main language Python  
-<sub><sup>flake8-plugin, linter-flake8, linter-plugin, pep8, python, style-guide, styleguide</sup></sub>
+### [pytudes](https://github.com/norvig/pytudes) by [norvig](https://github.com/norvig)  
+pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.  
+[https://github.com/norvig/pytudes](https://github.com/norvig/pytudes)  
+64 stars per week over 313 weeks  
+20,095 stars, 2,281 forks, 739 watches  
+created 2017-03-01, last commit 2023-02-08, main language Jupyter Notebook  
+<sub><sup>demonstrate-skills, practice, programming, python, python-3</sup></sub>
 
 
-### [pipreqs](https://github.com/bndr/pipreqs) by [bndr](https://github.com/bndr)  
-pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.  
-[https://github.com/bndr/pipreqs](https://github.com/bndr/pipreqs)  
-11 stars per week over 398 weeks  
-4,715 stars, 320 forks, 59 watches  
-created 2015-04-22, last commit 2022-12-02, main language Python  
+### [algorithms](https://github.com/keon/algorithms) by [keon](https://github.com/keon)  
+algorithms: Minimal examples of data structures and algorithms in Python  
+[https://github.com/keon/algorithms](https://github.com/keon/algorithms)  
+67 stars per week over 328 weeks  
+22,225 stars, 4,444 forks, 641 watches  
+created 2016-11-17, last commit 2022-11-12, main language Python  
+<sub><sup>algorithm, algorithms, competitive-programming, data-structure, graph, python, search, sort, tree</sup></sub>
 
 
-### [apscheduler](https://github.com/agronholm/apscheduler) by [agronholm](https://github.com/agronholm)  
-apscheduler: Task scheduling library for Python  
-[https://github.com/agronholm/apscheduler](https://github.com/agronholm/apscheduler)  
-13 stars per week over 349 weeks  
-4,695 stars, 603 forks, 125 watches  
-created 2016-03-27, last commit 2022-12-06, main language Python  
+### [jinja](https://github.com/pallets/jinja) by [pallets](https://github.com/pallets)  
+jinja: A very fast and expressive template engine.  
+[https://jinja.palletsprojects.com](https://jinja.palletsprojects.com)  
+[https://github.com/pallets/jinja](https://github.com/pallets/jinja)  
+14 stars per week over 646 weeks  
+9,088 stars, 1,544 forks, 250 watches  
+created 2010-10-17, last commit 2023-03-01, main language Python  
+<sub><sup>jinja, jinja2, pallets, python, template-engine, templates</sup></sub>
 
 
-### [transitions](https://github.com/pytransitions/transitions) by [pytransitions](https://github.com/pytransitions)  
-transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions  
-[https://github.com/pytransitions/transitions](https://github.com/pytransitions/transitions)  
-10 stars per week over 425 weeks  
-4,676 stars, 511 forks, 94 watches  
-created 2014-10-12, last commit 2022-11-08, main language Python  
-<sub><sup>hierarchical-state-machine, nested-states, python, state-diagram, state-machine</sup></sub>
+### [marshmallow](https://github.com/marshmallow-code/marshmallow) by [marshmallow-code](https://github.com/marshmallow-code)  
+marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.  
+[https://marshmallow.readthedocs.io/](https://marshmallow.readthedocs.io/)  
+[https://github.com/marshmallow-code/marshmallow](https://github.com/marshmallow-code/marshmallow)  
+13 stars per week over 486 weeks  
+6,445 stars, 623 forks, 81 watches  
+created 2013-11-10, last commit 2023-02-21, main language Python  
+<sub><sup>deserialization, hacktoberfest, marshalling, python, python-3, schema, serde, serialization, validation</sup></sub>
 
 
-### [awslogs](https://github.com/jorgebastida/awslogs) by [jorgebastida](https://github.com/jorgebastida)  
-awslogs: AWS CloudWatch logs for Humans™  
-[https://github.com/jorgebastida/awslogs](https://github.com/jorgebastida/awslogs)  
-10 stars per week over 411 weeks  
-4,498 stars, 325 forks, 61 watches  
-created 2015-01-21, last commit 2020-07-10, main language Python  
+### [pipx](https://github.com/pypa/pipx) by [pypa](https://github.com/pypa)  
+pipx: Install and Run Python Applications in Isolated Environments  
+[https://pypa.github.io/pipx/](https://pypa.github.io/pipx/)  
+[https://github.com/pypa/pipx](https://github.com/pypa/pipx)  
+26 stars per week over 230 weeks  
+6,067 stars, 280 forks, 72 watches  
+created 2018-10-06, last commit 2023-02-11, main language Python  
+<sub><sup>cli, hacktoberfest, pip, pypi, python, venv</sup></sub>
 
 
-### [PyOxidizer](https://github.com/indygreg/pyoxidizer) by [indygreg](https://github.com/indygreg)  
-PyOxidizer: A modern Python application packaging and distribution tool  
-[https://github.com/indygreg/pyoxidizer](https://github.com/indygreg/pyoxidizer)  
-21 stars per week over 207 weeks  
-4,406 stars, 190 forks, 59 watches  
-created 2018-12-18, last commit 2022-11-20, main language Rust  
+### [opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) by [open-telemetry](https://github.com/open-telemetry)  
+opentelemetry-python: OpenTelemetry Python API and SDK   
+[https://opentelemetry.io](https://opentelemetry.io)  
+[https://github.com/open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python)  
+6.01 stars per week over 199 weeks  
+1,201 stars, 436 forks, 34 watches  
+created 2019-05-07, last commit 2023-03-03, main language Python  
+<sub><sup>correlationcontext, distributed-tracing, logging, metrics, opentelemetry, python, sdk, tracecontext</sup></sub>
 
 
-### [pylint](https://github.com/pycqa/pylint) by [pycqa](https://github.com/pycqa)  
-pylint: It's not just a linter that annoys you!  
-[http://pylint.pycqa.org](http://pylint.pycqa.org)  
-[https://github.com/pycqa/pylint](https://github.com/pycqa/pylint)  
-11 stars per week over 365 weeks  
-4,371 stars, 942 forks, 72 watches  
-created 2015-12-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, code-quality, hacktoberfest, linter, pep8, static-analysis, static-code-analysis</sup></sub>
+### [lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template) by [ashleve](https://github.com/ashleve)  
+lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡  
+[https://github.com/ashleve/lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template)  
+19 stars per week over 121 weeks  
+2,334 stars, 401 forks, 20 watches  
+created 2020-11-04, last commit 2023-02-11, main language Python  
+<sub><sup>best-practices, comet, config, deep-learning, hydra, mlflow, mlops, neptune, project-structure, pytorch, pytorch-lightning, reproducibility, template, tensorboard, wandb</sup></sub>
+
+
+### [PyGithub](https://github.com/pygithub/pygithub) by [pygithub](https://github.com/pygithub)  
+PyGithub: Typed interactions with the GitHub API v3  
+[https://pygithub.readthedocs.io/](https://pygithub.readthedocs.io/)  
+[https://github.com/pygithub/pygithub](https://github.com/pygithub/pygithub)  
+10 stars per week over 575 weeks  
+5,830 stars, 1,595 forks, 112 watches  
+created 2012-02-25, last commit 2023-02-23, main language Python  
+<sub><sup>github, github-api, pygithub, python</sup></sub>
 
 
 ### [tenacity](https://github.com/jd/tenacity) by [jd](https://github.com/jd)  
 tenacity: Retrying library for Python  
 [http://tenacity.readthedocs.io](http://tenacity.readthedocs.io)  
 [https://github.com/jd/tenacity](https://github.com/jd/tenacity)  
-13 stars per week over 329 weeks  
-4,294 stars, 215 forks, 43 watches  
-created 2016-08-11, last commit 2022-09-21, main language Python  
+13 stars per week over 342 weeks  
+4,520 stars, 225 forks, 44 watches  
+created 2016-08-11, last commit 2023-02-28, main language Python  
 <sub><sup>failure, hacktoberfest, python, retry, retry-library</sup></sub>
 
 
-### [toolz](https://github.com/pytoolz/toolz) by [pytoolz](https://github.com/pytoolz)  
-toolz: A functional standard library for Python.  
-[http://toolz.readthedocs.org/](http://toolz.readthedocs.org/)  
-[https://github.com/pytoolz/toolz](https://github.com/pytoolz/toolz)  
-8.5 stars per week over 481 weeks  
-4,094 stars, 243 forks, 82 watches  
-created 2013-09-13, last commit 2022-11-03, main language Python  
+### [warehouse](https://github.com/pypi/warehouse) by [pypi](https://github.com/pypi)  
+warehouse: The Python Package Index  
+[https://pypi.org](https://pypi.org)  
+[https://github.com/pypi/warehouse](https://github.com/pypi/warehouse)  
+6.09 stars per week over 518 weeks  
+3,157 stars, 908 forks, 105 watches  
+created 2013-03-30, last commit 2023-03-03, main language Python  
 
 
-### [mamba](https://github.com/mamba-org/mamba) by [mamba-org](https://github.com/mamba-org)  
-mamba: The Fast Cross-Platform Package Manager  
-[https://mamba.readthedocs.io](https://mamba.readthedocs.io)  
-[https://github.com/mamba-org/mamba](https://github.com/mamba-org/mamba)  
-20 stars per week over 196 weeks  
-3,944 stars, 226 forks, 39 watches  
-created 2019-03-05, last commit 2022-12-06, main language C++  
+### [flake8](https://github.com/pycqa/flake8) by [pycqa](https://github.com/pycqa)  
+flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.  
+[https://flake8.pycqa.org](https://flake8.pycqa.org)  
+[https://github.com/pycqa/flake8](https://github.com/pycqa/flake8)  
+6.03 stars per week over 442 weeks  
+2,665 stars, 274 forks, 34 watches  
+created 2014-09-13, last commit 2023-02-21, main language Python  
+<sub><sup>complexity-analysis, flake8, linter, linter-flake8, pep8, python, python3, static-analysis, static-code-analysis, style-guide, styleguide, stylelint</sup></sub>
 
 
-### [pedalboard](https://github.com/spotify/pedalboard) by [spotify](https://github.com/spotify)  
-pedalboard: 🎛 🔊 A Python library for working with audio.  
-[https://github.com/spotify/pedalboard](https://github.com/spotify/pedalboard)  
-50 stars per week over 74 weeks  
-3,756 stars, 145 forks, 44 watches  
-created 2021-07-06, last commit 2022-12-04, main language C++  
-<sub><sup>audio, audio-processing, audio-production, audio-research, audio-unit, juce, pybind11, python, tensorflow, vst3, vst3-host</sup></sub>
+### [python-dotenv](https://github.com/theskumar/python-dotenv) by [theskumar](https://github.com/theskumar)  
+python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.  
+[https://saurabh-kumar.com/python-dotenv/](https://saurabh-kumar.com/python-dotenv/)  
+[https://github.com/theskumar/python-dotenv](https://github.com/theskumar/python-dotenv)  
+12 stars per week over 443 weeks  
+5,716 stars, 358 forks, 33 watches  
+created 2014-09-06, last commit 2023-02-24, main language Python  
+<sub><sup>12-factor-app, configuration, devops-tools, dotenv, env, environment-variables, python</sup></sub>
 
 
-### [RPA-Python](https://github.com/tebelorg/rpa-python) by [tebelorg](https://github.com/tebelorg)  
-RPA-Python: Python package for doing RPA  
-[https://github.com/tebelorg/rpa-python](https://github.com/tebelorg/rpa-python)  
-18 stars per week over 192 weeks  
-3,552 stars, 521 forks, 99 watches  
-created 2019-03-30, last commit 2022-09-07, main language Python  
-<sub><sup>cross-platform, opencv, python, rpa, sikuli, tagui, tesseract</sup></sub>
+### [apscheduler](https://github.com/agronholm/apscheduler) by [agronholm](https://github.com/agronholm)  
+apscheduler: Task scheduling library for Python  
+[https://github.com/agronholm/apscheduler](https://github.com/agronholm/apscheduler)  
+13 stars per week over 362 weeks  
+4,869 stars, 618 forks, 122 watches  
+created 2016-03-27, last commit 2023-02-07, main language Python  
 
 
-### [python-ftfy](https://github.com/rspeer/python-ftfy) by [rspeer](https://github.com/rspeer)  
-python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.  
-[http://ftfy.readthedocs.org](http://ftfy.readthedocs.org)  
-[https://github.com/rspeer/python-ftfy](https://github.com/rspeer/python-ftfy)  
-6.29 stars per week over 536 weeks  
-3,376 stars, 116 forks, 75 watches  
-created 2012-08-24, last commit 2022-10-25, main language Python  
+### [uvloop](https://github.com/magicstack/uvloop) by [magicstack](https://github.com/magicstack)  
+uvloop: Ultra fast asyncio event loop.  
+[https://github.com/magicstack/uvloop](https://github.com/magicstack/uvloop)  
+24 stars per week over 382 weeks  
+9,199 stars, 535 forks, 226 watches  
+created 2015-11-08, last commit 2023-01-15, main language Cython  
+<sub><sup>async, async-await, async-python, asyncio, event-loop, high-performance, libuv, networking, python, python-3</sup></sub>
 
 
-### [hatch](https://github.com/pypa/hatch) by [pypa](https://github.com/pypa)  
-hatch: Modern, extensible Python project management  
-[https://hatch.pypa.io/latest/](https://hatch.pypa.io/latest/)  
-[https://github.com/pypa/hatch](https://github.com/pypa/hatch)  
-11 stars per week over 288 weeks  
-3,349 stars, 157 forks, 49 watches  
-created 2017-05-31, last commit 2022-12-06, main language Python  
-<sub><sup>build, cli, packaging, plugin, python, versioning, virtualenv</sup></sub>
+### [csvkit](https://github.com/wireservice/csvkit) by [wireservice](https://github.com/wireservice)  
+csvkit: A suite of utilities for converting to and working with CSV, the king of tabular file formats.  
+[http://csvkit.rtfd.org/](http://csvkit.rtfd.org/)  
+[https://github.com/wireservice/csvkit](https://github.com/wireservice/csvkit)  
+8.66 stars per week over 622 weeks  
+5,388 stars, 583 forks, 132 watches  
+created 2011-04-01, last commit 2023-02-22, main language Python  
 
 
-### [circuitpython](https://github.com/adafruit/circuitpython) by [adafruit](https://github.com/adafruit)  
-CircuitPython - a Python implementation for teaching coding with microcontrollers  
-[https://circuitpython.org](https://circuitpython.org)  
-[https://github.com/adafruit/circuitpython](https://github.com/adafruit/circuitpython)  
-10 stars per week over 328 weeks  
-3,300 stars, 873 forks, 128 watches  
-created 2016-08-20, last commit 2022-12-07, main language C  
-<sub><sup>beginner, circuitpython, cpython, education, embedded, hacktoberfest, microcontroller, micropython, python, python3</sup></sub>
+### [lovely-tensors](https://github.com/xl0/lovely-tensors) by [xl0](https://github.com/xl0)  
+lovely-tensors: Tensors, ready for human consumption  
+[https://xl0.github.io/lovely-tensors](https://xl0.github.io/lovely-tensors)  
+[https://github.com/xl0/lovely-tensors](https://github.com/xl0/lovely-tensors)  
+43 stars per week over 21 weeks  
+923 stars, 14 forks, 8 watches  
+created 2022-10-07, last commit 2023-01-27, main language Jupyter Notebook  
+<sub><sup>deep-learning, library, pytorch, statistics, visualization</sup></sub>
+
+
+### [terminal-copilot](https://github.com/methexis-inc/terminal-copilot) by [methexis-inc](https://github.com/methexis-inc)  
+terminal-copilot: A smart terminal assistant that helps you find the right command.  
+[https://github.com/methexis-inc/terminal-copilot](https://github.com/methexis-inc/terminal-copilot)  
+37 stars per week over 12 weeks  
+448 stars, 25 forks, 6 watches  
+created 2022-12-11, last commit 2023-01-25, main language Python  
+
+
+### [pygments](https://github.com/pygments/pygments)  
+Pygments is a generic syntax highlighter written in Python  
+[http://pygments.org/](http://pygments.org/)  
+[https://github.com/pygments/pygments](https://github.com/pygments/pygments)  
+6.62 stars per week over 183 weeks  
+1,212 stars, 507 forks, 31 watches  
+created 2019-08-31, last commit 2023-03-03, main language Python  
+<sub><sup>python, syntax-highlighting</sup></sub>
+
+
+### [basic-pitch](https://github.com/spotify/basic-pitch) by [spotify](https://github.com/spotify)  
+basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection  
+[https://basicpitch.io](https://basicpitch.io)  
+[https://github.com/spotify/basic-pitch](https://github.com/spotify/basic-pitch)  
+37 stars per week over 43 weeks  
+1,651 stars, 95 forks, 32 watches  
+created 2022-05-03, last commit 2023-02-27, main language Python  
+<sub><sup>audio, lightweight, machine-learning, midi, music, pitch-detection, polyphonic, python, transcription, typescript</sup></sub>
 
 
 ### [pyzmq](https://github.com/zeromq/pyzmq) by [zeromq](https://github.com/zeromq)  
 PyZMQ:  Python bindings for zeromq  
 [http://zguide.zeromq.org/py:all](http://zguide.zeromq.org/py:all)  
 [https://github.com/zeromq/pyzmq](https://github.com/zeromq/pyzmq)  
-4.98 stars per week over 646 weeks  
-3,220 stars, 610 forks, 102 watches  
-created 2010-07-21, last commit 2022-12-06, main language Python  
+4.99 stars per week over 658 weeks  
+3,284 stars, 616 forks, 102 watches  
+created 2010-07-21, last commit 2023-02-23, main language Python  
 <sub><sup>cython, python, zeromq</sup></sub>
 
 
-### [python-socketio](https://github.com/miguelgrinberg/python-socketio) by [miguelgrinberg](https://github.com/miguelgrinberg)  
-python-socketio: Python Socket.IO server and client  
-[https://github.com/miguelgrinberg/python-socketio](https://github.com/miguelgrinberg/python-socketio)  
-8.14 stars per week over 386 weeks  
-3,142 stars, 511 forks, 63 watches  
-created 2015-07-15, last commit 2022-11-25, main language Python  
-<sub><sup>asyncio, eventlet, gevent, long-polling, low-latency, python, socket-io, socketio, socketio-server, web-server, websocket</sup></sub>
+### [camelot](https://github.com/camelot-dev/camelot) by [camelot-dev](https://github.com/camelot-dev)  
+camelot: A Python library to extract tabular data from PDFs  
+[https://camelot-py.readthedocs.io](https://camelot-py.readthedocs.io)  
+[https://github.com/camelot-dev/camelot](https://github.com/camelot-dev/camelot)  
+9.64 stars per week over 191 weeks  
+1,850 stars, 340 forks, 47 watches  
+created 2019-07-01, last commit 2023-02-26, main language Python  
 
 
-### [spack](https://github.com/spack/spack)  
-spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.  
-[https://spack.io](https://spack.io)  
-[https://github.com/spack/spack](https://github.com/spack/spack)  
-6.64 stars per week over 465 weeks  
-3,089 stars, 1,787 forks, 104 watches  
-created 2014-01-08, last commit 2022-12-07, main language Python  
-<sub><sup>build-tools, hpc, linux, macos, package-manager, python, radiuss, scientific-computing, spack</sup></sub>
+### [arrow](https://github.com/arrow-py/arrow) by [arrow-py](https://github.com/arrow-py)  
+arrow: 🏹 Better dates & times for Python  
+[https://arrow.readthedocs.io](https://arrow.readthedocs.io)  
+[https://github.com/arrow-py/arrow](https://github.com/arrow-py/arrow)  
+15 stars per week over 537 weeks  
+8,236 stars, 639 forks, 134 watches  
+created 2012-11-18, last commit 2022-11-15, main language Python  
+<sub><sup>arrow, date, datetime, hacktoberfest, python, time, timestamp, timezones</sup></sub>
 
 
-### [markdown](https://github.com/python-markdown/markdown) by [python-markdown](https://github.com/python-markdown)  
-markdown: A Python implementation of John Gruber’s Markdown with Extension support.  
-[https://python-markdown.github.io/](https://python-markdown.github.io/)  
-[https://github.com/python-markdown/markdown](https://github.com/python-markdown/markdown)  
-4.7 stars per week over 653 weeks  
-3,071 stars, 789 forks, 76 watches  
-created 2010-05-29, last commit 2022-12-02, main language Python  
-<sub><sup>markdown, markdown-parser, markdown-to-html, python, python-markdown, python3</sup></sub>
+### [more-itertools](https://github.com/more-itertools/more-itertools)  
+more-itertools: More routines for operating on iterables, beyond itertools  
+[https://more-itertools.rtfd.io](https://more-itertools.rtfd.io)  
+[https://github.com/more-itertools/more-itertools](https://github.com/more-itertools/more-itertools)  
+5.23 stars per week over 566 weeks  
+2,960 stars, 241 forks, 36 watches  
+created 2012-04-26, last commit 2023-03-03, main language Python  
+
+
+### [Coercer](https://github.com/p0dalirius/coercer) by [p0dalirius](https://github.com/p0dalirius)  
+Coercer: A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.  
+[https://podalirius.net/](https://podalirius.net/)  
+[https://github.com/p0dalirius/coercer](https://github.com/p0dalirius/coercer)  
+31 stars per week over 35 weeks  
+1,118 stars, 122 forks, 18 watches  
+created 2022-06-30, last commit 2023-01-18, main language Python  
+<sub><sup>authentication, automatic, call, coerce, fuzzing, ntlm, privilege-escalation, rpc</sup></sub>
 
 
 ### [joblib](https://github.com/joblib/joblib)  
 joblib: Computing with Python functions.  
 [http://joblib.readthedocs.org](http://joblib.readthedocs.org)  
 [https://github.com/joblib/joblib](https://github.com/joblib/joblib)  
-4.54 stars per week over 656 weeks  
-2,984 stars, 356 forks, 63 watches  
-created 2010-05-07, last commit 2022-11-25, main language Python  
+4.59 stars per week over 669 weeks  
+3,071 stars, 367 forks, 61 watches  
+created 2010-05-07, last commit 2023-02-21, main language Python  
 <sub><sup>caching, memoization, multiprocessing, parallel-computing, python, threading</sup></sub>
 
 
-### [funcy](https://github.com/suor/funcy) by [suor](https://github.com/suor)  
-funcy: A fancy and practical functional tools  
-[https://github.com/suor/funcy](https://github.com/suor/funcy)  
-5.51 stars per week over 529 weeks  
-2,919 stars, 133 forks, 73 watches  
-created 2012-10-13, last commit 2022-08-25, main language Python  
-<sub><sup>functional-programming, python, utilities</sup></sub>
+### [python-socketio](https://github.com/miguelgrinberg/python-socketio) by [miguelgrinberg](https://github.com/miguelgrinberg)  
+python-socketio: Python Socket.IO server and client  
+[https://github.com/miguelgrinberg/python-socketio](https://github.com/miguelgrinberg/python-socketio)  
+8.16 stars per week over 398 weeks  
+3,253 stars, 526 forks, 63 watches  
+created 2015-07-15, last commit 2023-02-16, main language Python  
+<sub><sup>asyncio, eventlet, gevent, long-polling, low-latency, python, socket-io, socketio, socketio-server, web-server, websocket</sup></sub>
 
 
-### [more-itertools](https://github.com/more-itertools/more-itertools)  
-more-itertools: More routines for operating on iterables, beyond itertools  
-[https://more-itertools.rtfd.io](https://more-itertools.rtfd.io)  
-[https://github.com/more-itertools/more-itertools](https://github.com/more-itertools/more-itertools)  
-5.08 stars per week over 553 weeks  
-2,811 stars, 220 forks, 34 watches  
-created 2012-04-26, last commit 2022-12-05, main language Python  
+### [RPA-Python](https://github.com/tebelorg/rpa-python) by [tebelorg](https://github.com/tebelorg)  
+RPA-Python: Python package for doing RPA  
+[https://github.com/tebelorg/rpa-python](https://github.com/tebelorg/rpa-python)  
+17 stars per week over 205 weeks  
+3,663 stars, 541 forks, 101 watches  
+created 2019-03-30, last commit 2022-09-07, main language Python  
+<sub><sup>cross-platform, opencv, python, rpa, sikuli, tagui, tesseract</sup></sub>
 
 
-### [xarray](https://github.com/pydata/xarray) by [pydata](https://github.com/pydata)  
-xarray: N-D labeled arrays and datasets in Python  
-[https://xarray.dev](https://xarray.dev)  
-[https://github.com/pydata/xarray](https://github.com/pydata/xarray)  
-5.79 stars per week over 479 weeks  
-2,775 stars, 853 forks, 106 watches  
-created 2013-09-30, last commit 2022-12-04, main language Python  
-<sub><sup>dask, netcdf, numpy, pandas, python, xarray</sup></sub>
+### [pendulum](https://github.com/sdispater/pendulum) by [sdispater](https://github.com/sdispater)  
+pendulum: Python datetimes made easy  
+[https://pendulum.eustace.io](https://pendulum.eustace.io)  
+[https://github.com/sdispater/pendulum](https://github.com/sdispater/pendulum)  
+15 stars per week over 348 weeks  
+5,357 stars, 322 forks, 63 watches  
+created 2016-06-27, last commit 2023-02-25, main language Python  
+<sub><sup>date, datetime, python, python3, time, timezones</sup></sub>
 
 
-### [flake8](https://github.com/pycqa/flake8) by [pycqa](https://github.com/pycqa)  
-flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.  
-[https://flake8.pycqa.org](https://flake8.pycqa.org)  
-[https://github.com/pycqa/flake8](https://github.com/pycqa/flake8)  
-5.82 stars per week over 429 weeks  
-2,500 stars, 255 forks, 33 watches  
-created 2014-09-13, last commit 2022-12-06, main language Python  
-<sub><sup>complexity-analysis, flake8, linter, linter-flake8, pep8, python, python3, static-analysis, static-code-analysis, style-guide, styleguide, stylelint</sup></sub>
+### [criticality_score](https://github.com/ossf/criticality_score) by [ossf](https://github.com/ossf)  
+criticality_score: Gives criticality score for an open source project  
+[https://github.com/ossf/criticality_score](https://github.com/ossf/criticality_score)  
+9.86 stars per week over 119 weeks  
+1,180 stars, 89 forks, 30 watches  
+created 2020-11-17, last commit 2023-02-28, main language Go  
 
 
-### [notifiers](https://github.com/liiight/notifiers) by [liiight](https://github.com/liiight)  
-notifiers: The easy way to send notifications  
-[http://notifiers.readthedocs.io/](http://notifiers.readthedocs.io/)  
-[https://github.com/liiight/notifiers](https://github.com/liiight/notifiers)  
-8.15 stars per week over 287 weeks  
-2,346 stars, 91 forks, 33 watches  
-created 2017-06-01, last commit 2022-07-14, main language Python  
-<sub><sup>notification-service, notifications, notifier, pypi, python, python3</sup></sub>
+### [imageio](https://github.com/imageio/imageio)  
+imageio: Python library for reading and writing image data  
+[https://imageio.readthedocs.io](https://imageio.readthedocs.io)  
+[https://github.com/imageio/imageio](https://github.com/imageio/imageio)  
+2.35 stars per week over 513 weeks  
+1,204 stars, 244 forks, 32 watches  
+created 2013-05-04, last commit 2023-03-03, main language Python  
+<sub><sup>animated-gif, dicom, imageio, python, scientific-formats, video, webcam-capture</sup></sub>
 
 
-### [pyston](https://github.com/pyston/pyston)  
-pyston: A faster and highly-compatible implementation of the Python programming language.  
-[https://www.pyston.org/](https://www.pyston.org/)  
-[https://github.com/pyston/pyston](https://github.com/pyston/pyston)  
-24 stars per week over 92 weeks  
-2,285 stars, 83 forks, 32 watches  
-created 2021-03-01, last commit 2022-11-23, main language Python  
+### [opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib) by [open-telemetry](https://github.com/open-telemetry)  
+opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules  
+[https://opentelemetry.io](https://opentelemetry.io)  
+[https://github.com/open-telemetry/opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib)  
+2.38 stars per week over 173 weeks  
+412 stars, 320 forks, 14 watches  
+created 2019-11-08, last commit 2023-02-28, main language Python  
 
 
 ### [pycryptodome](https://github.com/legrandin/pycryptodome) by [legrandin](https://github.com/legrandin)  
 pycryptodome: A self-contained cryptographic library for Python  
 [https://www.pycryptodome.org](https://www.pycryptodome.org)  
 [https://github.com/legrandin/pycryptodome](https://github.com/legrandin/pycryptodome)  
-4.92 stars per week over 448 weeks  
-2,206 stars, 403 forks, 59 watches  
-created 2014-05-02, last commit 2022-12-06, main language C  
+4.93 stars per week over 461 weeks  
+2,274 stars, 420 forks, 59 watches  
+created 2014-05-02, last commit 2023-01-28, main language C  
 <sub><sup>cryptography, python, security</sup></sub>
 
 
-### [refurb](https://github.com/dosisod/refurb) by [dosisod](https://github.com/dosisod)  
-refurb: A tool for refurbishing and modernizing Python codebases  
-[https://github.com/dosisod/refurb](https://github.com/dosisod/refurb)  
-106 stars per week over 19 weeks  
-2,027 stars, 34 forks, 14 watches  
-created 2022-07-27, last commit 2022-12-06, main language Python  
-<sub><sup>cli, gplv3, hacktoberfest, mypy, python, python310, testing</sup></sub>
+### [transitions](https://github.com/pytransitions/transitions) by [pytransitions](https://github.com/pytransitions)  
+transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions  
+[https://github.com/pytransitions/transitions](https://github.com/pytransitions/transitions)  
+10 stars per week over 438 weeks  
+4,779 stars, 511 forks, 91 watches  
+created 2014-10-12, last commit 2023-01-06, main language Python  
+<sub><sup>hierarchical-state-machine, nested-states, python, state-diagram, state-machine</sup></sub>
 
 
-### [lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template) by [ashleve](https://github.com/ashleve)  
-lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡  
-[https://github.com/ashleve/lightning-hydra-template](https://github.com/ashleve/lightning-hydra-template)  
-18 stars per week over 109 weeks  
-2,014 stars, 334 forks, 18 watches  
-created 2020-11-04, last commit 2022-11-11, main language Python  
-<sub><sup>best-practices, comet, config, deep-learning, experiment-tracking, experiments, hydra, mlflow, mlops, neptune, project-structure, pytorch, pytorch-lightning, reproducibility, research, template, tensorboard, wandb</sup></sub>
+### [filesystem_spec](https://github.com/fsspec/filesystem_spec) by [fsspec](https://github.com/fsspec)  
+filesystem_spec: A specification that python filesystems should adhere to.  
+[https://github.com/fsspec/filesystem_spec](https://github.com/fsspec/filesystem_spec)  
+2.18 stars per week over 253 weeks  
+553 stars, 239 forks, 22 watches  
+created 2018-04-23, last commit 2023-03-04, main language Python  
 
 
-### [pyyaml](https://github.com/yaml/pyyaml) by [yaml](https://github.com/yaml)  
-pyyaml: Canonical source repository for PyYAML  
-[https://github.com/yaml/pyyaml](https://github.com/yaml/pyyaml)  
-3.45 stars per week over 578 weeks  
-1,999 stars, 420 forks, 46 watches  
-created 2011-11-03, last commit 2022-09-13, main language Python  
-<sub><sup>python, yaml</sup></sub>
+### [gefyra](https://github.com/gefyrahq/gefyra) by [gefyrahq](https://github.com/gefyrahq)  
+gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.  
+[https://gefyra.dev](https://gefyra.dev)  
+[https://github.com/gefyrahq/gefyra](https://github.com/gefyrahq/gefyra)  
+6.29 stars per week over 67 weeks  
+424 stars, 23 forks, 7 watches  
+created 2021-11-18, last commit 2023-02-22, main language Python  
+<sub><sup>coding, containers, developer-tool, development, docker, k8s, kubernetes, tunnel</sup></sub>
 
 
-### [pint](https://github.com/hgrecco/pint) by [hgrecco](https://github.com/hgrecco)  
-pint: Operate and manipulate physical quantities in Python  
-[http://pint.readthedocs.org/](http://pint.readthedocs.org/)  
-[https://github.com/hgrecco/pint](https://github.com/hgrecco/pint)  
-3.48 stars per week over 542 weeks  
-1,891 stars, 405 forks, 40 watches  
-created 2012-07-13, last commit 2022-11-29, main language Python  
-<sub><sup>python, science, units</sup></sub>
+### [toolz](https://github.com/pytoolz/toolz) by [pytoolz](https://github.com/pytoolz)  
+toolz: A functional standard library for Python.  
+[http://toolz.readthedocs.org/](http://toolz.readthedocs.org/)  
+[https://github.com/pytoolz/toolz](https://github.com/pytoolz/toolz)  
+8.46 stars per week over 494 weeks  
+4,180 stars, 249 forks, 82 watches  
+created 2013-09-13, last commit 2022-11-03, main language Python  
 
 
-### [wrapt](https://github.com/grahamdumpleton/wrapt) by [grahamdumpleton](https://github.com/grahamdumpleton)  
-wrapt: A Python module for decorators, wrappers and monkey patching.  
-[https://github.com/grahamdumpleton/wrapt](https://github.com/grahamdumpleton/wrapt)  
-3.6 stars per week over 497 weeks  
-1,790 stars, 208 forks, 45 watches  
-created 2013-05-29, last commit 2022-10-28, main language Python  
+### [omegaconf](https://github.com/omry/omegaconf) by [omry](https://github.com/omry)  
+omegaconf: Flexible Python configuration system. The last one you will ever need.  
+[https://github.com/omry/omegaconf](https://github.com/omry/omegaconf)  
+6.04 stars per week over 234 weeks  
+1,419 stars, 74 forks, 16 watches  
+created 2018-09-03, last commit 2022-12-20, main language Python  
+<sub><sup>configuration-files, configuration-loader, python, python-types, schema-validator, yaml, yaml-configuration</sup></sub>
 
 
-### [pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2) by [pyfilesystem](https://github.com/pyfilesystem)  
-pyfilesystem2: Python's Filesystem abstraction layer  
-[https://www.pyfilesystem.org](https://www.pyfilesystem.org)  
-[https://github.com/pyfilesystem/pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2)  
-5.56 stars per week over 320 weeks  
-1,782 stars, 170 forks, 45 watches  
-created 2016-10-14, last commit 2022-10-18, main language Python  
-<sub><sup>filesystem, filesystem-library, ftp, pyfilesystem, pyfilesystem2, python, tar, zip</sup></sub>
+### [python-dependency-injector](https://github.com/ets-labs/python-dependency-injector) by [ets-labs](https://github.com/ets-labs)  
+python-dependency-injector: Dependency injection framework for Python  
+[https://python-dependency-injector.ets-labs.org/](https://python-dependency-injector.ets-labs.org/)  
+[https://github.com/ets-labs/python-dependency-injector](https://github.com/ets-labs/python-dependency-injector)  
+6.35 stars per week over 426 weeks  
+2,706 stars, 204 forks, 46 watches  
+created 2015-01-04, last commit 2022-12-19, main language Python  
+<sub><sup>aiohttp, asyncio, dependency-injection, dependency-injection-container, dependency-injection-framework, design-patterns, factory, flask, flask-application, flask-restful, ioc, ioc-container, python, python-2, python-3, python3, singleton, threadlocal</sup></sub>
 
 
-### [camelot](https://github.com/camelot-dev/camelot) by [camelot-dev](https://github.com/camelot-dev)  
-camelot: A Python library to extract tabular data from PDFs  
-[https://camelot-py.readthedocs.io](https://camelot-py.readthedocs.io)  
-[https://github.com/camelot-dev/camelot](https://github.com/camelot-dev/camelot)  
-9.72 stars per week over 179 weeks  
-1,743 stars, 330 forks, 39 watches  
-created 2019-07-01, last commit 2021-07-11, main language Python  
+### [ipykernel](https://github.com/ipython/ipykernel) by [ipython](https://github.com/ipython)  
+ipykernel: IPython Kernel for Jupyter  
+[https://ipykernel.readthedocs.io/en/stable/](https://ipykernel.readthedocs.io/en/stable/)  
+[https://github.com/ipython/ipykernel](https://github.com/ipython/ipykernel)  
+1.3 stars per week over 412 weeks  
+536 stars, 337 forks, 34 watches  
+created 2015-04-09, last commit 2023-03-02, main language Python  
+<sub><sup>closember, ipython, ipython-kernel, jupyter, jupyter-notebook, kernel, python</sup></sub>
 
 
-### [gin-config](https://github.com/google/gin-config) by [google](https://github.com/google)  
-gin-config: Gin provides a lightweight configuration framework for Python  
-[https://github.com/google/gin-config](https://github.com/google/gin-config)  
-7.35 stars per week over 232 weeks  
-1,705 stars, 107 forks, 22 watches  
-created 2018-06-27, last commit 2022-12-05, main language Python  
-<sub><sup>configuration-management, python, tensorflow, tensorflow-experiments</sup></sub>
+### [wrapt](https://github.com/grahamdumpleton/wrapt) by [grahamdumpleton](https://github.com/grahamdumpleton)  
+wrapt: A Python module for decorators, wrappers and monkey patching.  
+[https://github.com/grahamdumpleton/wrapt](https://github.com/grahamdumpleton/wrapt)  
+3.57 stars per week over 509 weeks  
+1,821 stars, 209 forks, 45 watches  
+created 2013-05-29, last commit 2023-02-27, main language Python  
 
 
-### [pyparsing](https://github.com/pyparsing/pyparsing)  
-pyparsing: Python library for creating PEG parsers  
-[https://github.com/pyparsing/pyparsing](https://github.com/pyparsing/pyparsing)  
-5.87 stars per week over 290 weeks  
-1,704 stars, 236 forks, 23 watches  
-created 2017-05-14, last commit 2022-11-11, main language Python  
-<sub><sup>parser-combinators, parsing, parsing-expression-grammar, parsing-library, peg-parsers, python, python-2, python-3, python2, python3, text-processing</sup></sub>
+### [s3fs](https://github.com/fsspec/s3fs) by [fsspec](https://github.com/fsspec)  
+s3fs: S3 Filesystem   
+[http://s3fs.readthedocs.io/en/latest/](http://s3fs.readthedocs.io/en/latest/)  
+[https://github.com/fsspec/s3fs](https://github.com/fsspec/s3fs)  
+1.78 stars per week over 363 weeks  
+648 stars, 216 forks, 22 watches  
+created 2016-03-16, last commit 2023-02-23, main language Python  
+<sub><sup>hacktoberfest</sup></sub>
 
 
-### [python-diskcache](https://github.com/grantjenks/python-diskcache) by [grantjenks](https://github.com/grantjenks)  
-python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.  
-[http://www.grantjenks.com/docs/diskcache/](http://www.grantjenks.com/docs/diskcache/)  
-[https://github.com/grantjenks/python-diskcache](https://github.com/grantjenks/python-diskcache)  
-4.53 stars per week over 357 weeks  
-1,617 stars, 106 forks, 18 watches  
-created 2016-02-03, last commit 2022-02-20, main language Python  
-<sub><sup>cache, filesystem, key-value-store, persistence, python</sup></sub>
+### [fpdf2](https://github.com/pyfpdf/fpdf2) by [pyfpdf](https://github.com/pyfpdf)  
+fpdf2: Simple PDF generation for Python  
+[https://pyfpdf.github.io/fpdf2/](https://pyfpdf.github.io/fpdf2/)  
+[https://github.com/pyfpdf/fpdf2](https://github.com/pyfpdf/fpdf2)  
+1.99 stars per week over 311 weeks  
+621 stars, 165 forks, 17 watches  
+created 2017-03-15, last commit 2023-03-03, main language Python  
+<sub><sup>barcode, hacktoberfest, library, markdown, pdf, pdf-generation, pdf-library, python, python3, svg</sup></sub>
 
 
-### [Pipe](https://github.com/julienpalard/pipe) by [julienpalard](https://github.com/julienpalard)  
-Pipe: A Python library to use infix notation in Python  
-[https://github.com/julienpalard/pipe](https://github.com/julienpalard/pipe)  
-2.33 stars per week over 660 weeks  
-1,540 stars, 101 forks, 25 watches  
-created 2010-04-08, last commit 2022-11-16, main language Python  
+### [pycodestyle](https://github.com/pycqa/pycodestyle) by [pycqa](https://github.com/pycqa)  
+pycodestyle: Simple Python style checker in one Python file  
+[https://pycodestyle.pycqa.org](https://pycodestyle.pycqa.org)  
+[https://github.com/pycqa/pycodestyle](https://github.com/pycqa/pycodestyle)  
+6.83 stars per week over 700 weeks  
+4,780 stars, 697 forks, 120 watches  
+created 2009-10-02, last commit 2022-12-13, main language Python  
+<sub><sup>flake8-plugin, linter-flake8, linter-plugin, pep8, python, style-guide, styleguide</sup></sub>
 
 
-### [shiv](https://github.com/linkedin/shiv) by [linkedin](https://github.com/linkedin)  
-shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.  
-[https://github.com/linkedin/shiv](https://github.com/linkedin/shiv)  
-6.19 stars per week over 247 weeks  
-1,530 stars, 84 forks, 26 watches  
-created 2018-03-13, last commit 2022-11-04, main language Python  
+### [pipreqs](https://github.com/bndr/pipreqs) by [bndr](https://github.com/bndr)  
+pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.  
+[https://github.com/bndr/pipreqs](https://github.com/bndr/pipreqs)  
+12 stars per week over 410 weeks  
+4,936 stars, 330 forks, 60 watches  
+created 2015-04-22, last commit 2023-01-14, main language Python  
 
 
 ### [llvmlite](https://github.com/numba/llvmlite) by [numba](https://github.com/numba)  
 llvmlite: A lightweight LLVM python binding for writing JIT compilers  
 [http://llvmlite.pydata.org/](http://llvmlite.pydata.org/)  
 [https://github.com/numba/llvmlite](https://github.com/numba/llvmlite)  
-3.48 stars per week over 434 weeks  
-1,514 stars, 285 forks, 55 watches  
-created 2014-08-07, last commit 2022-12-05, main language Python  
-
-
-### [python-lambda](https://github.com/nficano/python-lambda) by [nficano](https://github.com/nficano)  
-python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda.   
-[https://github.com/nficano/python-lambda](https://github.com/nficano/python-lambda)  
-3.99 stars per week over 353 weeks  
-1,413 stars, 227 forks, 31 watches  
-created 2016-02-26, last commit 2022-06-03, main language Python  
-<sub><sup>aws, aws-lambda, microservices, python, serverless</sup></sub>
-
-
-### [omegaconf](https://github.com/omry/omegaconf) by [omry](https://github.com/omry)  
-omegaconf: Flexible Python configuration system. The last one you will ever need.  
-[https://github.com/omry/omegaconf](https://github.com/omry/omegaconf)  
-6.09 stars per week over 222 weeks  
-1,353 stars, 71 forks, 17 watches  
-created 2018-09-03, last commit 2022-12-06, main language Python  
-<sub><sup>configuration-files, configuration-loader, python, python-types, schema-validator, yaml, yaml-configuration</sup></sub>
-
-
-### [basic-pitch](https://github.com/spotify/basic-pitch) by [spotify](https://github.com/spotify)  
-basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection  
-[https://basicpitch.io](https://basicpitch.io)  
-[https://github.com/spotify/basic-pitch](https://github.com/spotify/basic-pitch)  
-42 stars per week over 31 weeks  
-1,334 stars, 62 forks, 24 watches  
-created 2022-05-03, last commit 2022-08-30, main language Python  
-<sub><sup>audio, lightweight, machine-learning, midi, music, pitch-detection, polyphonic, python, transcription, typescript</sup></sub>
-
+3.49 stars per week over 447 weeks  
+1,561 stars, 299 forks, 53 watches  
+created 2014-08-07, last commit 2023-02-14, main language Python  
 
-### [imageio](https://github.com/imageio/imageio)  
-imageio: Python library for reading and writing image data  
-[https://imageio.readthedocs.io](https://imageio.readthedocs.io)  
-[https://github.com/imageio/imageio](https://github.com/imageio/imageio)  
-2.31 stars per week over 500 weeks  
-1,155 stars, 232 forks, 31 watches  
-created 2013-05-04, last commit 2022-11-29, main language Python  
-<sub><sup>animated-gif, dicom, imageio, python, scientific-formats, video, webcam-capture</sup></sub>
-
-
-### [pygments](https://github.com/pygments/pygments)  
-Pygments is a generic syntax highlighter written in Python  
-[http://pygments.org/](http://pygments.org/)  
-[https://github.com/pygments/pygments](https://github.com/pygments/pygments)  
-6.67 stars per week over 170 weeks  
-1,137 stars, 484 forks, 26 watches  
-created 2019-08-31, last commit 2022-12-05, main language Python  
-<sub><sup>python, syntax-highlighting</sup></sub>
 
-
-### [opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) by [open-telemetry](https://github.com/open-telemetry)  
-opentelemetry-python: OpenTelemetry Python API and SDK   
-[https://opentelemetry.io](https://opentelemetry.io)  
-[https://github.com/open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python)  
-5.95 stars per week over 187 weeks  
-1,113 stars, 402 forks, 36 watches  
-created 2019-05-07, last commit 2022-12-06, main language Python  
-<sub><sup>correlationcontext, distributed-tracing, logging, metrics, opentelemetry, python, sdk, tracecontext</sup></sub>
+### [pint](https://github.com/hgrecco/pint) by [hgrecco](https://github.com/hgrecco)  
+pint: Operate and manipulate physical quantities in Python  
+[http://pint.readthedocs.org/](http://pint.readthedocs.org/)  
+[https://github.com/hgrecco/pint](https://github.com/hgrecco/pint)  
+3.51 stars per week over 555 weeks  
+1,949 stars, 416 forks, 40 watches  
+created 2012-07-13, last commit 2023-02-13, main language Python  
+<sub><sup>python, science, units</sup></sub>
 
 
-### [openai-python](https://github.com/openai/openai-python) by [openai](https://github.com/openai)  
-openai/openai-python  
-[https://github.com/openai/openai-python](https://github.com/openai/openai-python)  
-9.54 stars per week over 110 weeks  
-1,053 stars, 296 forks, 47 watches  
-created 2020-10-25, last commit 2022-11-17, main language Python  
+### [markdown](https://github.com/python-markdown/markdown) by [python-markdown](https://github.com/python-markdown)  
+markdown: A Python implementation of John Gruber’s Markdown with Extension support.  
+[https://python-markdown.github.io/](https://python-markdown.github.io/)  
+[https://github.com/python-markdown/markdown](https://github.com/python-markdown/markdown)  
+4.71 stars per week over 666 weeks  
+3,139 stars, 817 forks, 75 watches  
+created 2010-05-29, last commit 2023-01-09, main language Python  
+<sub><sup>markdown, markdown-parser, markdown-to-html, python, python-markdown, python3</sup></sub>
 
 
-### [logzero](https://github.com/metachris/logzero) by [metachris](https://github.com/metachris)  
-logzero: Robust and effective logging for Python 2 and 3.  
-[https://logzero.readthedocs.io](https://logzero.readthedocs.io)  
-[https://github.com/metachris/logzero](https://github.com/metachris/logzero)  
-3.62 stars per week over 286 weeks  
-1,035 stars, 70 forks, 26 watches  
-created 2017-06-12, last commit 2021-03-17, main language Python  
-<sub><sup>logfiles, logging, logzero, python</sup></sub>
+### [funcy](https://github.com/suor/funcy) by [suor](https://github.com/suor)  
+funcy: A fancy and practical functional tools  
+[https://github.com/suor/funcy](https://github.com/suor/funcy)  
+5.51 stars per week over 542 weeks  
+2,986 stars, 134 forks, 73 watches  
+created 2012-10-13, last commit 2023-02-26, main language Python  
+<sub><sup>functional-programming, python, utilities</sup></sub>
 
 
-### [dataclasses-json](https://github.com/lidatong/dataclasses-json) by [lidatong](https://github.com/lidatong)  
-dataclasses-json: Easily serialize Data Classes to and from JSON  
-[https://github.com/lidatong/dataclasses-json](https://github.com/lidatong/dataclasses-json)  
-4.19 stars per week over 241 weeks  
-1,011 stars, 114 forks, 9 watches  
-created 2018-04-21, last commit 2022-08-14, main language Python  
-<sub><sup>dataclasses, json, python</sup></sub>
+### [pyparsing](https://github.com/pyparsing/pyparsing)  
+pyparsing: Python library for creating PEG parsers  
+[https://github.com/pyparsing/pyparsing](https://github.com/pyparsing/pyparsing)  
+5.85 stars per week over 303 weeks  
+1,772 stars, 241 forks, 23 watches  
+created 2017-05-14, last commit 2023-02-12, main language Python  
+<sub><sup>parser-combinators, parsing, parsing-expression-grammar, parsing-library, peg-parsers, python, python-2, python-3, python2, python3, text-processing</sup></sub>
 
 
-### [python-patterns](https://github.com/brandon-rhodes/python-patterns) by [brandon-rhodes](https://github.com/brandon-rhodes)  
-python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes  
-[https://github.com/brandon-rhodes/python-patterns](https://github.com/brandon-rhodes/python-patterns)  
-3.81 stars per week over 253 weeks  
-965 stars, 88 forks, 247 watches  
-created 2018-01-31, last commit 2021-01-05, main language Python  
+### [python-benedict](https://github.com/fabiocaccamo/python-benedict) by [fabiocaccamo](https://github.com/fabiocaccamo)  
+python-benedict: :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.  
+[https://github.com/fabiocaccamo/python-benedict](https://github.com/fabiocaccamo/python-benedict)  
+4.92 stars per week over 198 weeks  
+975 stars, 40 forks, 12 watches  
+created 2019-05-17, last commit 2023-03-02, main language Python  
+<sub><sup>base64, csv, decode, dict, dictionary, encode, filter, flatten, json, keypath, pickle, plist, python, query-string, subset, toml, traverse, xls, xml, yaml</sup></sub>
 
 
-### [bcrypt](https://github.com/pyca/bcrypt) by [pyca](https://github.com/pyca)  
-bcrypt: Modern(-ish) password hashing for your software and your servers  
-[https://github.com/pyca/bcrypt](https://github.com/pyca/bcrypt)  
-1.88 stars per week over 499 weeks  
-941 stars, 134 forks, 29 watches  
-created 2013-05-11, last commit 2022-12-06, main language Python  
-<sub><sup>python</sup></sub>
+### [pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2) by [pyfilesystem](https://github.com/pyfilesystem)  
+pyfilesystem2: Python's Filesystem abstraction layer  
+[https://www.pyfilesystem.org](https://www.pyfilesystem.org)  
+[https://github.com/pyfilesystem/pyfilesystem2](https://github.com/pyfilesystem/pyfilesystem2)  
+5.47 stars per week over 333 weeks  
+1,822 stars, 173 forks, 46 watches  
+created 2016-10-14, last commit 2022-10-18, main language Python  
+<sub><sup>filesystem, filesystem-library, ftp, pyfilesystem, pyfilesystem2, python, tar, zip</sup></sub>
 
 
-### [pynacl](https://github.com/pyca/pynacl) by [pyca](https://github.com/pyca)  
-pynacl: Python binding to the Networking and Cryptography (NaCl) library  
-[https://pynacl.readthedocs.io/](https://pynacl.readthedocs.io/)  
-[https://github.com/pyca/pynacl](https://github.com/pyca/pynacl)  
-1.83 stars per week over 510 weeks  
-935 stars, 220 forks, 28 watches  
-created 2013-02-22, last commit 2022-12-05, main language C  
-<sub><sup>cryptography, libsodium, nacl, python</sup></sub>
+### [python-ftfy](https://github.com/rspeer/python-ftfy) by [rspeer](https://github.com/rspeer)  
+python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.  
+[http://ftfy.readthedocs.org](http://ftfy.readthedocs.org)  
+[https://github.com/rspeer/python-ftfy](https://github.com/rspeer/python-ftfy)  
+6.28 stars per week over 549 weeks  
+3,451 stars, 116 forks, 75 watches  
+created 2012-08-24, last commit 2022-10-25, main language Python  
 
 
-### [pdoc](https://github.com/pdoc3/pdoc) by [pdoc3](https://github.com/pdoc3)  
-pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects  
-[https://pdoc3.github.io/pdoc/](https://pdoc3.github.io/pdoc/)  
-[https://github.com/pdoc3/pdoc](https://github.com/pdoc3/pdoc)  
-4.41 stars per week over 205 weeks  
-905 stars, 136 forks, 8 watches  
-created 2019-01-02, last commit 2022-10-29, main language Python  
-<sub><sup>api-documentation, docs, docs-generator, docstring, docstring-documentation, docstrings, documentation, documentation-dumper, documentation-generator, documentation-tool, generator, hacktoberfest, pdoc, python, python3</sup></sub>
+### [awslogs](https://github.com/jorgebastida/awslogs) by [jorgebastida](https://github.com/jorgebastida)  
+awslogs: AWS CloudWatch logs for Humans™  
+[https://github.com/jorgebastida/awslogs](https://github.com/jorgebastida/awslogs)  
+10 stars per week over 423 weeks  
+4,567 stars, 328 forks, 59 watches  
+created 2015-01-21, last commit 2020-07-10, main language Python  
 
 
-### [cytoolz](https://github.com/pytoolz/cytoolz) by [pytoolz](https://github.com/pytoolz)  
-cytoolz: Cython implementation of Toolz: High performance functional utilities  
-[https://github.com/pytoolz/cytoolz](https://github.com/pytoolz/cytoolz)  
-1.97 stars per week over 452 weeks  
-890 stars, 67 forks, 23 watches  
-created 2014-04-04, last commit 2022-11-06, main language Python  
+### [python-soundfile](https://github.com/bastibe/python-soundfile) by [bastibe](https://github.com/bastibe)  
+python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy  
+[https://github.com/bastibe/python-soundfile](https://github.com/bastibe/python-soundfile)  
+1.05 stars per week over 496 weeks  
+523 stars, 87 forks, 17 watches  
+created 2013-08-27, last commit 2023-02-24, main language Python  
 
 
-### [python-progressbar](https://github.com/wolph/python-progressbar) by [wolph](https://github.com/wolph)  
-python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"  
-[http://progressbar-2.readthedocs.org/en/latest/](http://progressbar-2.readthedocs.org/en/latest/)  
-[https://github.com/wolph/python-progressbar](https://github.com/wolph/python-progressbar)  
-1.41 stars per week over 563 weeks  
-792 stars, 95 forks, 22 watches  
-created 2012-02-20, last commit 2022-12-06, main language Python  
-<sub><sup>bar, cli, console, eta, gui, library, percentage, progress, progress-bar, progressbar, python, rate, terminal, time</sup></sub>
+### [natsort](https://github.com/sethmmorton/natsort) by [sethmmorton](https://github.com/sethmmorton)  
+natsort: Simple yet flexible natural sorting in Python.  
+[https://pypi.org/project/natsort/](https://pypi.org/project/natsort/)  
+[https://github.com/sethmmorton/natsort](https://github.com/sethmmorton/natsort)  
+1.3 stars per week over 565 weeks  
+734 stars, 42 forks, 14 watches  
+created 2012-05-03, last commit 2023-03-02, main language Python  
+<sub><sup>natsort, natural-sort, python, sorting, sorting-interface</sup></sub>
 
 
-### [forbiddenfruit](https://github.com/clarete/forbiddenfruit) by [clarete](https://github.com/clarete)  
-forbiddenfruit: Patch built-in python objects  
-[https://clarete.li/forbiddenfruit/](https://clarete.li/forbiddenfruit/)  
-[https://github.com/clarete/forbiddenfruit](https://github.com/clarete/forbiddenfruit)  
-1.48 stars per week over 505 weeks  
-748 stars, 50 forks, 28 watches  
-created 2013-04-03, last commit 2022-03-12, main language Python  
-<sub><sup>monkey-patching, python</sup></sub>
+### [pyyaml](https://github.com/yaml/pyyaml) by [yaml](https://github.com/yaml)  
+pyyaml: Canonical source repository for PyYAML  
+[https://github.com/yaml/pyyaml](https://github.com/yaml/pyyaml)  
+3.55 stars per week over 591 weeks  
+2,099 stars, 435 forks, 49 watches  
+created 2011-11-03, last commit 2022-09-13, main language Python  
+<sub><sup>python, yaml</sup></sub>
 
 
 ### [zenodo](https://github.com/zenodo/zenodo)  
 zenodo: Research. Shared.  
 [https://zenodo.org](https://zenodo.org)  
 [https://github.com/zenodo/zenodo](https://github.com/zenodo/zenodo)  
-1.46 stars per week over 512 weeks  
-747 stars, 224 forks, 38 watches  
-created 2013-02-11, last commit 2022-12-01, main language Python  
+1.46 stars per week over 524 weeks  
+765 stars, 228 forks, 40 watches  
+created 2013-02-11, last commit 2023-03-02, main language Python  
 <sub><sup>digital-library, elasticsearch, flask, invenio, inveniosoftware, library-management, open-access, open-science, postgresql, python, research-data-management, research-data-repository, scientific-publications, zenodo</sup></sub>
 
 
-### [watermark](https://github.com/rasbt/watermark) by [rasbt](https://github.com/rasbt)  
-watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information  
-[https://github.com/rasbt/watermark](https://github.com/rasbt/watermark)  
-1.71 stars per week over 436 weeks  
-747 stars, 83 forks, 13 watches  
-created 2014-07-30, last commit 2022-09-13, main language Python  
-<sub><sup>ipython, jupyter, magic-extension, python</sup></sub>
-
-
-### [lovely-tensors](https://github.com/xl0/lovely-tensors) by [xl0](https://github.com/xl0)  
-lovely-tensors: Tensors, ready for human consumption  
-[https://xl0.github.io/lovely-tensors](https://xl0.github.io/lovely-tensors)  
-[https://github.com/xl0/lovely-tensors](https://github.com/xl0/lovely-tensors)  
-82 stars per week over 8 weeks  
-715 stars, 9 forks, 5 watches  
-created 2022-10-07, last commit 2022-12-06, main language Jupyter Notebook  
-<sub><sup>deep-learning, library, pytorch, statistics, visualization</sup></sub>
-
-
-### [natsort](https://github.com/sethmmorton/natsort) by [sethmmorton](https://github.com/sethmmorton)  
-natsort: Simple yet flexible natural sorting in Python.  
-[https://pypi.org/project/natsort/](https://pypi.org/project/natsort/)  
-[https://github.com/sethmmorton/natsort](https://github.com/sethmmorton/natsort)  
-1.28 stars per week over 552 weeks  
-706 stars, 40 forks, 14 watches  
-created 2012-05-03, last commit 2022-09-01, main language Python  
-<sub><sup>natsort, natural-sort, python, sorting, sorting-interface</sup></sub>
+### [python-diskcache](https://github.com/grantjenks/python-diskcache) by [grantjenks](https://github.com/grantjenks)  
+python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.  
+[http://www.grantjenks.com/docs/diskcache/](http://www.grantjenks.com/docs/diskcache/)  
+[https://github.com/grantjenks/python-diskcache](https://github.com/grantjenks/python-diskcache)  
+4.63 stars per week over 369 weeks  
+1,710 stars, 107 forks, 19 watches  
+created 2016-02-03, last commit 2022-02-20, main language Python  
+<sub><sup>cache, filesystem, key-value-store, persistence, python</sup></sub>
 
 
-### [python-devtools](https://github.com/samuelcolvin/python-devtools) by [samuelcolvin](https://github.com/samuelcolvin)  
-python-devtools: Dev tools for python  
-[https://python-devtools.helpmanual.io/](https://python-devtools.helpmanual.io/)  
-[https://github.com/samuelcolvin/python-devtools](https://github.com/samuelcolvin/python-devtools)  
-2.27 stars per week over 276 weeks  
-627 stars, 31 forks, 8 watches  
-created 2017-08-20, last commit 2022-11-28, main language Python  
-<sub><sup>devtools, python, python-devtools</sup></sub>
+### [shiv](https://github.com/linkedin/shiv) by [linkedin](https://github.com/linkedin)  
+shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.  
+[https://github.com/linkedin/shiv](https://github.com/linkedin/shiv)  
+5.99 stars per week over 259 weeks  
+1,556 stars, 85 forks, 26 watches  
+created 2018-03-13, last commit 2022-11-04, main language Python  
 
 
-### [s3fs](https://github.com/fsspec/s3fs) by [fsspec](https://github.com/fsspec)  
-s3fs: S3 Filesystem   
-[http://s3fs.readthedocs.io/en/latest/](http://s3fs.readthedocs.io/en/latest/)  
-[https://github.com/fsspec/s3fs](https://github.com/fsspec/s3fs)  
-1.75 stars per week over 351 weeks  
-615 stars, 207 forks, 21 watches  
-created 2016-03-16, last commit 2022-12-06, main language Python  
-<sub><sup>hacktoberfest</sup></sub>
+### [pdoc](https://github.com/pdoc3/pdoc) by [pdoc3](https://github.com/pdoc3)  
+pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects  
+[https://pdoc3.github.io/pdoc/](https://pdoc3.github.io/pdoc/)  
+[https://github.com/pdoc3/pdoc](https://github.com/pdoc3/pdoc)  
+4.33 stars per week over 217 weeks  
+942 stars, 136 forks, 8 watches  
+created 2019-01-02, last commit 2022-12-21, main language Python  
+<sub><sup>api-documentation, docs, docs-generator, docstring, docstring-documentation, docstrings, documentation, documentation-dumper, documentation-generator, documentation-tool, generator, hacktoberfest, pdoc, python, python3</sup></sub>
 
 
-### [algo-trader](https://github.com/idanya/algo-trader) by [idanya](https://github.com/idanya)  
-algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.  
-[https://github.com/idanya/algo-trader](https://github.com/idanya/algo-trader)  
-9.42 stars per week over 64 weeks  
-604 stars, 55 forks, 21 watches  
-created 2021-09-14, last commit 2022-11-29, main language Python  
-<sub><sup>algorithmic-trading, backtesting, crypto-bot, python, technical-analysis, trading-bot, trading-strategies</sup></sub>
+### [bcrypt](https://github.com/pyca/bcrypt) by [pyca](https://github.com/pyca)  
+bcrypt: Modern(-ish) password hashing for your software and your servers  
+[https://github.com/pyca/bcrypt](https://github.com/pyca/bcrypt)  
+1.91 stars per week over 512 weeks  
+978 stars, 136 forks, 28 watches  
+created 2013-05-11, last commit 2023-02-27, main language Python  
+<sub><sup>python</sup></sub>
 
 
-### [arxiv.py](https://github.com/lukasschwab/arxiv.py) by [lukasschwab](https://github.com/lukasschwab)  
-arxiv.py: Python wrapper for the arXiv API  
-[https://github.com/lukasschwab/arxiv.py](https://github.com/lukasschwab/arxiv.py)  
-1.59 stars per week over 367 weeks  
-583 stars, 76 forks, 16 watches  
-created 2015-11-25, last commit 2022-09-12, main language Python  
-<sub><sup>arxiv, arxiv-api, pdf, python-wrapper</sup></sub>
+### [Pipe](https://github.com/julienpalard/pipe) by [julienpalard](https://github.com/julienpalard)  
+Pipe: A Python library to use infix notation in Python  
+[https://github.com/julienpalard/pipe](https://github.com/julienpalard/pipe)  
+2.37 stars per week over 673 weeks  
+1,598 stars, 103 forks, 27 watches  
+created 2010-04-08, last commit 2022-11-16, main language Python  
 
 
-### [fpdf2](https://github.com/pyfpdf/fpdf2) by [pyfpdf](https://github.com/pyfpdf)  
-fpdf2: Simple PDF generation for Python  
-[https://pyfpdf.github.io/fpdf2/](https://pyfpdf.github.io/fpdf2/)  
-[https://github.com/pyfpdf/fpdf2](https://github.com/pyfpdf/fpdf2)  
-1.87 stars per week over 299 weeks  
-560 stars, 150 forks, 16 watches  
-created 2017-03-15, last commit 2022-12-02, main language Python  
-<sub><sup>barcode, hacktoberfest, library, markdown, pdf, pdf-generation, pdf-library, python, python3, svg</sup></sub>
+### [tket](https://github.com/cqcl/tket) by [cqcl](https://github.com/cqcl)  
+tket: Source code for the TKET quantum compiler, Python bindings and utilities  
+[https://github.com/cqcl/tket](https://github.com/cqcl/tket)  
+2.17 stars per week over 76 weeks  
+167 stars, 30 forks, 14 watches  
+created 2021-09-13, last commit 2023-02-28, main language C++  
+<sub><sup>compiler, quantum-computing</sup></sub>
 
 
-### [ipykernel](https://github.com/ipython/ipykernel) by [ipython](https://github.com/ipython)  
-ipykernel: IPython Kernel for Jupyter  
-[https://ipython.readthedocs.io/en/stable/](https://ipython.readthedocs.io/en/stable/)  
-[https://github.com/ipython/ipykernel](https://github.com/ipython/ipykernel)  
-1.32 stars per week over 399 weeks  
-528 stars, 332 forks, 32 watches  
-created 2015-04-09, last commit 2022-12-06, main language Python  
-<sub><sup>closember, ipython, ipython-kernel, jupyter, jupyter-notebook, kernel, python</sup></sub>
+### [notifiers](https://github.com/liiight/notifiers) by [liiight](https://github.com/liiight)  
+notifiers: The easy way to send notifications  
+[http://notifiers.readthedocs.io/](http://notifiers.readthedocs.io/)  
+[https://github.com/liiight/notifiers](https://github.com/liiight/notifiers)  
+7.98 stars per week over 300 weeks  
+2,397 stars, 93 forks, 33 watches  
+created 2017-06-01, last commit 2022-07-14, main language Python  
+<sub><sup>notification-service, notifications, notifier, pypi, python, python3</sup></sub>
 
 
-### [filesystem_spec](https://github.com/fsspec/filesystem_spec) by [fsspec](https://github.com/fsspec)  
-filesystem_spec: A specification that python filesystems should adhere to.  
-[https://github.com/fsspec/filesystem_spec](https://github.com/fsspec/filesystem_spec)  
-2.14 stars per week over 241 weeks  
-517 stars, 225 forks, 21 watches  
-created 2018-04-23, last commit 2022-12-02, main language Python  
+### [File-Injector](https://github.com/carlospuenteg/file-injector) by [carlospuenteg](https://github.com/carlospuenteg)  
+File-Injector: File Injector is a script that allows you to store any file in an image using steganography  
+[https://github.com/carlospuenteg/file-injector](https://github.com/carlospuenteg/file-injector)  
+20 stars per week over 19 weeks  
+397 stars, 19 forks, 7 watches  
+created 2022-10-22, last commit 2022-11-18, main language Python  
+<sub><sup>extraction, file, file-injection, file-injector, files, image, image-manipulation, image-processing, injection, noise, numpy, photography, python, python3, steganography, storage</sup></sub>
 
 
-### [python-soundfile](https://github.com/bastibe/python-soundfile) by [bastibe](https://github.com/bastibe)  
-python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy  
-[https://github.com/bastibe/python-soundfile](https://github.com/bastibe/python-soundfile)  
-1.04 stars per week over 484 weeks  
-503 stars, 85 forks, 17 watches  
-created 2013-08-27, last commit 2022-09-27, main language Python  
+### [sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper) by [aws-samples](https://github.com/aws-samples)  
+sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH  
+[https://github.com/aws-samples/sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper)  
+3.99 stars per week over 20 weeks  
+81 stars, 10 forks, 6 watches  
+created 2022-10-14, last commit 2023-02-27, main language Python  
+<sub><sup>amazon-sagemaker, aws, aws-systems-manager, machine-learning, pycharm, sagemaker, sagemaker-studio, ssh, vscode</sup></sub>
 
 
 ### [ghapi](https://github.com/fastai/ghapi) by [fastai](https://github.com/fastai)  
 ghapi: A delightful and complete interface to GitHub's amazing API  
 [https://ghapi.fast.ai/](https://ghapi.fast.ai/)  
 [https://github.com/fastai/ghapi](https://github.com/fastai/ghapi)  
-3.93 stars per week over 106 weeks  
-419 stars, 44 forks, 8 watches  
+3.66 stars per week over 119 weeks  
+436 stars, 44 forks, 8 watches  
 created 2020-11-21, last commit 2022-09-27, main language Jupyter Notebook  
 <sub><sup>api-client, github, github-api, nbdev, openapi</sup></sub>
 
 
-### [File-Injector](https://github.com/carlospuenteg/file-injector) by [carlospuenteg](https://github.com/carlospuenteg)  
-File-Injector: File Injector is a script that allows you to store any file in an image using steganography  
-[https://github.com/carlospuenteg/file-injector](https://github.com/carlospuenteg/file-injector)  
-57 stars per week over 6 weeks  
-380 stars, 17 forks, 6 watches  
-created 2022-10-22, last commit 2022-11-18, main language Python  
-<sub><sup>extraction, file, file-injection, file-injector, files, image, image-manipulation, image-processing, injection, noise, numpy, photography, python, python3, steganography, storage</sup></sub>
+### [python-devtools](https://github.com/samuelcolvin/python-devtools) by [samuelcolvin](https://github.com/samuelcolvin)  
+python-devtools: Dev tools for python  
+[https://python-devtools.helpmanual.io/](https://python-devtools.helpmanual.io/)  
+[https://github.com/samuelcolvin/python-devtools](https://github.com/samuelcolvin/python-devtools)  
+2.27 stars per week over 289 weeks  
+656 stars, 33 forks, 8 watches  
+created 2017-08-20, last commit 2023-02-06, main language Python  
+<sub><sup>devtools, python, python-devtools</sup></sub>
 
 
-### [opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib) by [open-telemetry](https://github.com/open-telemetry)  
-opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules  
-[https://opentelemetry.io](https://opentelemetry.io)  
-[https://github.com/open-telemetry/opentelemetry-python-contrib](https://github.com/open-telemetry/opentelemetry-python-contrib)  
-2.26 stars per week over 160 weeks  
-363 stars, 275 forks, 14 watches  
-created 2019-11-08, last commit 2022-12-06, main language Python  
+### [cytoolz](https://github.com/pytoolz/cytoolz) by [pytoolz](https://github.com/pytoolz)  
+cytoolz: Cython implementation of Toolz: High performance functional utilities  
+[https://github.com/pytoolz/cytoolz](https://github.com/pytoolz/cytoolz)  
+1.95 stars per week over 465 weeks  
+907 stars, 66 forks, 23 watches  
+created 2014-04-04, last commit 2022-12-19, main language Python  
+
+
+### [python-progressbar](https://github.com/wolph/python-progressbar) by [wolph](https://github.com/wolph)  
+python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2"  
+[http://progressbar-2.readthedocs.org/en/latest/](http://progressbar-2.readthedocs.org/en/latest/)  
+[https://github.com/wolph/python-progressbar](https://github.com/wolph/python-progressbar)  
+1.4 stars per week over 575 weeks  
+806 stars, 95 forks, 22 watches  
+created 2012-02-20, last commit 2023-02-02, main language Python  
+<sub><sup>bar, cli, console, eta, gui, library, percentage, progress, progress-bar, progressbar, python, rate, terminal, time</sup></sub>
+
+
+### [pyglove](https://github.com/google/pyglove) by [google](https://github.com/google)  
+pyglove: Manipulating Python Programs  
+[https://github.com/google/pyglove](https://github.com/google/pyglove)  
+5.23 stars per week over 42 weeks  
+222 stars, 8 forks, 7 watches  
+created 2022-05-12, last commit 2023-02-08, main language Python  
+<sub><sup>automl, evolution, machine-learning, manipulation, meta-learning, meta-programming, python, symbolic-programming</sup></sub>
+
+
+### [pyscript-cli](https://github.com/pyscript/pyscript-cli) by [pyscript](https://github.com/pyscript)  
+pyscript-cli: A CLI for PyScript  
+[https://github.com/pyscript/pyscript-cli](https://github.com/pyscript/pyscript-cli)  
+3.27 stars per week over 44 weeks  
+144 stars, 14 forks, 12 watches  
+created 2022-05-01, last commit 2023-02-25, main language Python  
 
 
 ### [pypy](https://github.com/mozillazg/pypy) by [mozillazg](https://github.com/mozillazg)  
 pypy: The unofficial GitHub mirror of PyPy  
 [https://foss.heptapod.net/pypy/pypy](https://foss.heptapod.net/pypy/pypy)  
 [https://github.com/mozillazg/pypy](https://github.com/mozillazg/pypy)  
-0.93 stars per week over 383 weeks  
-358 stars, 57 forks, 11 watches  
-created 2015-08-03, last commit 2022-12-06, main language Python  
-<sub><sup>github-mirror, pypy, read-only-repository, unofficial, unofficial-mirror</sup></sub>
+0.93 stars per week over 395 weeks  
+370 stars, 60 forks, 11 watches  
+created 2015-08-03, last commit 2023-03-03, main language Python  
+<sub><sup>github-mirror, pypy, read-only-repository, readonly, unofficial, unofficial-mirror</sup></sub>
 
 
-### [axcell](https://github.com/paperswithcode/axcell) by [paperswithcode](https://github.com/paperswithcode)  
-axcell: Tools for extracting tables and results from Machine Learning papers  
-[https://github.com/paperswithcode/axcell](https://github.com/paperswithcode/axcell)  
-1.91 stars per week over 179 weeks  
-343 stars, 51 forks, 13 watches  
-created 2019-06-27, last commit 2021-06-23, main language Python  
+### [python-lambda](https://github.com/nficano/python-lambda) by [nficano](https://github.com/nficano)  
+python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda.   
+[https://github.com/nficano/python-lambda](https://github.com/nficano/python-lambda)  
+3.89 stars per week over 366 weeks  
+1,425 stars, 229 forks, 32 watches  
+created 2016-02-26, last commit 2022-06-03, main language Python  
+<sub><sup>aws, aws-lambda, microservices, python, serverless</sup></sub>
+
+
+### [gin-config](https://github.com/google/gin-config) by [google](https://github.com/google)  
+gin-config: Gin provides a lightweight configuration framework for Python  
+[https://github.com/google/gin-config](https://github.com/google/gin-config)  
+7.23 stars per week over 244 weeks  
+1,768 stars, 113 forks, 24 watches  
+created 2018-06-27, last commit 2022-12-05, main language Python  
+<sub><sup>configuration-management, python, tensorflow, tensorflow-experiments</sup></sub>
+
+
+### [pynacl](https://github.com/pyca/pynacl) by [pyca](https://github.com/pyca)  
+pynacl: Python binding to the Networking and Cryptography (NaCl) library  
+[https://pynacl.readthedocs.io/](https://pynacl.readthedocs.io/)  
+[https://github.com/pyca/pynacl](https://github.com/pyca/pynacl)  
+1.81 stars per week over 523 weeks  
+945 stars, 220 forks, 27 watches  
+created 2013-02-22, last commit 2023-01-19, main language C  
+<sub><sup>cryptography, libsodium, nacl, python</sup></sub>
+
+
+### [mrab-regex](https://github.com/mrabarnett/mrab-regex) by [mrabarnett](https://github.com/mrabarnett)  
+mrabarnett/mrab-regex  
+[https://github.com/mrabarnett/mrab-regex](https://github.com/mrabarnett/mrab-regex)  
+1.77 stars per week over 121 weeks  
+216 stars, 27 forks, 6 watches  
+created 2020-11-02, last commit 2022-10-31, main language C  
+
+
+### [dataclasses-json](https://github.com/lidatong/dataclasses-json) by [lidatong](https://github.com/lidatong)  
+dataclasses-json: Easily serialize Data Classes to and from JSON  
+[https://github.com/lidatong/dataclasses-json](https://github.com/lidatong/dataclasses-json)  
+4.24 stars per week over 254 weeks  
+1,077 stars, 117 forks, 10 watches  
+created 2018-04-21, last commit 2022-08-14, main language Python  
+<sub><sup>dataclasses, json, python</sup></sub>
 
 
 ### [python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser) by [sciunto-org](https://github.com/sciunto-org)  
 python-bibtexparser: Bibtex parser for Python 3  
 [https://bibtexparser.readthedocs.io](https://bibtexparser.readthedocs.io)  
 [https://github.com/sciunto-org/python-bibtexparser](https://github.com/sciunto-org/python-bibtexparser)  
-0.64 stars per week over 517 weeks  
-330 stars, 116 forks, 16 watches  
-created 2013-01-05, last commit 2022-10-20, main language Python  
+0.65 stars per week over 530 weeks  
+347 stars, 118 forks, 17 watches  
+created 2013-01-05, last commit 2023-01-03, main language Python  
 <sub><sup>bibtex, bibtex-files, hacktoberfest2022, latex, python</sup></sub>
 
 
-### [gefyra](https://github.com/gefyrahq/gefyra) by [gefyrahq](https://github.com/gefyrahq)  
-gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.  
-[https://gefyra.dev](https://gefyra.dev)  
-[https://github.com/gefyrahq/gefyra](https://github.com/gefyrahq/gefyra)  
-5.94 stars per week over 54 weeks  
-326 stars, 22 forks, 6 watches  
-created 2021-11-18, last commit 2022-11-27, main language Python  
-<sub><sup>coding, containers, developer-tool, development, docker, k8s, kubernetes, tunnel</sup></sub>
-
-
 ### [aws-adfs](https://github.com/venth/aws-adfs) by [venth](https://github.com/venth)  
 aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory)  
 [https://github.com/venth/aws-adfs](https://github.com/venth/aws-adfs)  
-0.82 stars per week over 336 weeks  
-276 stars, 91 forks, 11 watches  
-created 2016-06-25, last commit 2022-10-29, main language Python  
+0.81 stars per week over 349 weeks  
+282 stars, 91 forks, 11 watches  
+created 2016-06-25, last commit 2022-12-14, main language Python  
 <sub><sup>adfs, aws, command-line, duo-security, multi-factor-authentication, python, tools</sup></sub>
 
 
@@ -1103,145 +1165,212 @@ created 2016-06-25, last commit 2022-10-29, main language Python
 check-manifest: Tool to check the completeness of MANIFEST.in for Python packages  
 [https://pypi.org/p/check-manifest](https://pypi.org/p/check-manifest)  
 [https://github.com/mgedmin/check-manifest](https://github.com/mgedmin/check-manifest)  
-0.53 stars per week over 509 weeks  
-269 stars, 37 forks, 7 watches  
-created 2013-03-05, last commit 2022-12-05, main language Python  
-
-
-### [poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin) by [tiangolo](https://github.com/tiangolo)  
-poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.  
-[https://github.com/tiangolo/poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin)  
-3.27 stars per week over 79 weeks  
-261 stars, 23 forks, 5 watches  
-created 2021-05-27, last commit 2021-05-28, main language Python  
-<sub><sup>packaging, packaging-for-pypi, pypi, python, python-poetry, python3</sup></sub>
-
-
-### [ottr](https://github.com/airbnb/ottr) by [airbnb](https://github.com/airbnb)  
-ottr: Serverless Public Key Infrastructure Framework  
-[https://github.com/airbnb/ottr](https://github.com/airbnb/ottr)  
-3.84 stars per week over 66 weeks  
-256 stars, 27 forks, 8 watches  
-created 2021-08-27, last commit 2022-01-04, main language Python  
-
-
-### [apilogs](https://github.com/rpgreen/apilogs) by [rpgreen](https://github.com/rpgreen)  
-apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs  
-[https://github.com/rpgreen/apilogs](https://github.com/rpgreen/apilogs)  
-0.76 stars per week over 326 weeks  
-247 stars, 19 forks, 9 watches  
-created 2016-09-07, last commit 2019-11-13, main language Python  
-<sub><sup>api, api-gateway, aws, aws-apigateway, aws-lambda, cloudwatch-logs, gateway, lambda, logging</sup></sub>
+0.53 stars per week over 521 weeks  
+275 stars, 37 forks, 7 watches  
+created 2013-03-05, last commit 2022-12-11, main language Python  
 
 
-### [mrab-regex](https://github.com/mrabarnett/mrab-regex) by [mrabarnett](https://github.com/mrabarnett)  
-mrabarnett/mrab-regex  
-[https://github.com/mrabarnett/mrab-regex](https://github.com/mrabarnett/mrab-regex)  
-1.67 stars per week over 109 weeks  
-183 stars, 24 forks, 5 watches  
-created 2020-11-02, last commit 2022-10-31, main language C  
+### [pytz](https://github.com/stub42/pytz) by [stub42](https://github.com/stub42)  
+pytz Python historical timezone library and database  
+[https://github.com/stub42/pytz](https://github.com/stub42/pytz)  
+0.7 stars per week over 346 weeks  
+244 stars, 69 forks, 14 watches  
+created 2016-07-12, last commit 2023-01-14, main language C  
 
 
 ### [aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client) by [aws](https://github.com/aws)  
 aws/aws-lambda-python-runtime-interface-client  
 [https://github.com/aws/aws-lambda-python-runtime-interface-client](https://github.com/aws/aws-lambda-python-runtime-interface-client)  
-1.51 stars per week over 118 weeks  
-178 stars, 41 forks, 12 watches  
-created 2020-09-02, last commit 2022-08-16, main language Python  
+1.51 stars per week over 130 weeks  
+197 stars, 49 forks, 16 watches  
+created 2020-09-02, last commit 2023-02-16, main language Python  
 
 
-### [pyscript-cli](https://github.com/pyscript/pyscript-cli) by [pyscript](https://github.com/pyscript)  
-pyscript-cli: A CLI for PyScript  
-[https://github.com/pyscript/pyscript-cli](https://github.com/pyscript/pyscript-cli)  
-4.45 stars per week over 31 weeks  
-140 stars, 14 forks, 11 watches  
-created 2022-05-01, last commit 2022-12-05, main language Python  
+### [arxiv.py](https://github.com/lukasschwab/arxiv.py) by [lukasschwab](https://github.com/lukasschwab)  
+arxiv.py: Python wrapper for the arXiv API  
+[https://github.com/lukasschwab/arxiv.py](https://github.com/lukasschwab/arxiv.py)  
+1.61 stars per week over 379 weeks  
+613 stars, 81 forks, 17 watches  
+created 2015-11-25, last commit 2023-02-01, main language Python  
+<sub><sup>arxiv, arxiv-api, pdf, python-wrapper</sup></sub>
 
 
 ### [pypistats](https://github.com/hugovk/pypistats) by [hugovk](https://github.com/hugovk)  
 pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages  
 [https://pypistats.org/api/](https://pypistats.org/api/)  
 [https://github.com/hugovk/pypistats](https://github.com/hugovk/pypistats)  
-0.62 stars per week over 219 weeks  
-137 stars, 25 forks, 4 watches  
-created 2018-09-22, last commit 2022-12-03, main language Python  
+0.63 stars per week over 232 weeks  
+146 stars, 26 forks, 4 watches  
+created 2018-09-22, last commit 2023-03-01, main language Python  
 <sub><sup>api, cli, command-line, command-line-tool, downloads, hacktoberfest, pypi, python, python3, statistics, stats</sup></sub>
 
 
-### [jsontopydantic](https://github.com/brokenloop/jsontopydantic) by [brokenloop](https://github.com/brokenloop)  
-jsontopydantic: Web tool for generating Pydantic models from JSON objects  
-[https://jsontopydantic.com](https://jsontopydantic.com)  
-[https://github.com/brokenloop/jsontopydantic](https://github.com/brokenloop/jsontopydantic)  
-1.19 stars per week over 105 weeks  
-126 stars, 7 forks, 3 watches  
-created 2020-11-28, last commit 2022-05-13, main language TypeScript  
+### [logzero](https://github.com/metachris/logzero) by [metachris](https://github.com/metachris)  
+logzero: Robust and effective logging for Python 2 and 3.  
+[https://logzero.readthedocs.io](https://logzero.readthedocs.io)  
+[https://github.com/metachris/logzero](https://github.com/metachris/logzero)  
+3.45 stars per week over 298 weeks  
+1,030 stars, 69 forks, 26 watches  
+created 2017-06-12, last commit 2021-03-17, main language Python  
+<sub><sup>logfiles, logging, logzero, python</sup></sub>
 
 
-### [pytrait](https://github.com/xrudelis/pytrait) by [xrudelis](https://github.com/xrudelis)  
-pytrait: Traits for Python3  
-[https://github.com/xrudelis/pytrait](https://github.com/xrudelis/pytrait)  
-2.22 stars per week over 54 weeks  
-121 stars, 3 forks, 3 watches  
-created 2021-11-21, last commit 2021-11-27, main language Python  
+### [odin](https://github.com/python-odin/odin) by [python-odin](https://github.com/python-odin)  
+odin: Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python  
+[https://odin.readthedocs.org/en/latest/](https://odin.readthedocs.org/en/latest/)  
+[https://github.com/python-odin/odin](https://github.com/python-odin/odin)  
+0.06 stars per week over 497 weeks  
+29 stars, 7 forks, 3 watches  
+created 2013-08-20, last commit 2023-02-26, main language Python  
+<sub><sup>csv, data-mapping, data-structures, de-serialize, json, msgpack, python, serialize, validation, xml, yaml</sup></sub>
+
+
+### [segno](https://github.com/heuer/segno) by [heuer](https://github.com/heuer)  
+segno: Python QR Code and Micro QR Code encoder  
+[https://pypi.org/project/segno/](https://pypi.org/project/segno/)  
+[https://github.com/heuer/segno](https://github.com/heuer/segno)  
+1.13 stars per week over 343 weeks  
+387 stars, 42 forks, 11 watches  
+created 2016-08-04, last commit 2022-12-10, main language Python  
+<sub><sup>barcode, iso-18004, matrix-barcode, micro-qr-code, micro-qrcode, python, python-qrcode, qr-code, qr-generator, qrcode, segno, structured-append</sup></sub>
+
+
+### [watermark](https://github.com/rasbt/watermark) by [rasbt](https://github.com/rasbt)  
+watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information  
+[https://github.com/rasbt/watermark](https://github.com/rasbt/watermark)  
+1.71 stars per week over 448 weeks  
+768 stars, 82 forks, 13 watches  
+created 2014-07-30, last commit 2022-09-13, main language Python  
+<sub><sup>ipython, jupyter, magic-extension, python</sup></sub>
 
 
 ### [pyminiaudio](https://github.com/irmen/pyminiaudio) by [irmen](https://github.com/irmen)  
 pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library  
 [https://github.com/irmen/pyminiaudio](https://github.com/irmen/pyminiaudio)  
-0.65 stars per week over 179 weeks  
-117 stars, 13 forks, 3 watches  
-created 2019-06-30, last commit 2022-11-15, main language C  
+0.68 stars per week over 192 weeks  
+130 stars, 16 forks, 3 watches  
+created 2019-06-30, last commit 2023-02-09, main language C  
+
+
+### [pypinfo](https://github.com/ofek/pypinfo) by [ofek](https://github.com/ofek)  
+pypinfo: Easily view PyPI download statistics via Google's BigQuery.  
+[https://github.com/ofek/pypinfo](https://github.com/ofek/pypinfo)  
+1.17 stars per week over 303 weeks  
+356 stars, 31 forks, 14 watches  
+created 2017-05-13, last commit 2022-11-30, main language Python  
+<sub><sup>bigquery, pypi, python, statistics</sup></sub>
+
+
+### [micropip](https://github.com/pyodide/micropip) by [pyodide](https://github.com/pyodide)  
+micropip: A lightweight Python package installer for Pyodide  
+[https://micropip.pyodide.org](https://micropip.pyodide.org)  
+[https://github.com/pyodide/micropip](https://github.com/pyodide/micropip)  
+0.65 stars per week over 24 weeks  
+16 stars, 5 forks, 5 watches  
+created 2022-09-15, last commit 2023-03-04, main language Python  
+<sub><sup>package-installer, pyodide, python, webassembly</sup></sub>
+
+
+### [forbiddenfruit](https://github.com/clarete/forbiddenfruit) by [clarete](https://github.com/clarete)  
+forbiddenfruit: Patch built-in python objects  
+[https://clarete.li/forbiddenfruit/](https://clarete.li/forbiddenfruit/)  
+[https://github.com/clarete/forbiddenfruit](https://github.com/clarete/forbiddenfruit)  
+1.46 stars per week over 517 weeks  
+758 stars, 49 forks, 28 watches  
+created 2013-04-03, last commit 2022-03-12, main language Python  
+<sub><sup>monkey-patching, python</sup></sub>
+
+
+### [pyfuncol](https://github.com/gondolav/pyfuncol) by [gondolav](https://github.com/gondolav)  
+pyfuncol: Functional collections extension functions for Python  
+[https://pyfuncol.readthedocs.io/](https://pyfuncol.readthedocs.io/)  
+[https://github.com/gondolav/pyfuncol](https://github.com/gondolav/pyfuncol)  
+0.5 stars per week over 63 weeks  
+32 stars, 2 forks, 3 watches  
+created 2021-12-16, last commit 2023-02-27, main language Python  
+<sub><sup>collections, extension-functions, functional, parallel, python, python3</sup></sub>
+
+
+### [python-patterns](https://github.com/brandon-rhodes/python-patterns) by [brandon-rhodes](https://github.com/brandon-rhodes)  
+python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes  
+[https://github.com/brandon-rhodes/python-patterns](https://github.com/brandon-rhodes/python-patterns)  
+3.84 stars per week over 265 weeks  
+1,021 stars, 93 forks, 254 watches  
+created 2018-01-31, last commit 2021-01-05, main language Python  
+
+
+### [poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin) by [tiangolo](https://github.com/tiangolo)  
+poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.  
+[https://github.com/tiangolo/poetry-version-plugin](https://github.com/tiangolo/poetry-version-plugin)  
+2.98 stars per week over 92 weeks  
+275 stars, 24 forks, 5 watches  
+created 2021-05-27, last commit 2021-05-28, main language Python  
+<sub><sup>packaging, packaging-for-pypi, pypi, python, python-poetry, python3</sup></sub>
+
+
+### [ottr](https://github.com/airbnb/ottr) by [airbnb](https://github.com/airbnb)  
+ottr: Serverless Public Key Infrastructure Framework  
+[https://github.com/airbnb/ottr](https://github.com/airbnb/ottr)  
+3.29 stars per week over 79 weeks  
+261 stars, 30 forks, 7 watches  
+created 2021-08-27, last commit 2022-01-04, main language Python  
+
+
+### [axcell](https://github.com/paperswithcode/axcell) by [paperswithcode](https://github.com/paperswithcode)  
+axcell: Tools for extracting tables and results from Machine Learning papers  
+[https://github.com/paperswithcode/axcell](https://github.com/paperswithcode/axcell)  
+1.81 stars per week over 192 weeks  
+349 stars, 56 forks, 13 watches  
+created 2019-06-27, last commit 2021-06-23, main language Python  
 
 
 ### [cowait](https://github.com/backtick-se/cowait) by [backtick-se](https://github.com/backtick-se)  
 cowait: Containerized distributed programming framework for Python  
 [https://cowait.io](https://cowait.io)  
 [https://github.com/backtick-se/cowait](https://github.com/backtick-se/cowait)  
-0.33 stars per week over 168 weeks  
+0.3 stars per week over 180 weeks  
 55 stars, 5 forks, 8 watches  
 created 2019-09-18, last commit 2022-09-22, main language Python  
 <sub><sup>dask, data-engineering, data-science, docker, kubernetes, python, spark, task-scheduler, workflow-engine</sup></sub>
 
 
-### [sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper) by [aws-samples](https://github.com/aws-samples)  
-sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH  
-[https://github.com/aws-samples/sagemaker-ssh-helper](https://github.com/aws-samples/sagemaker-ssh-helper)  
-6.48 stars per week over 7 weeks  
-50 stars, 5 forks, 6 watches  
-created 2022-10-14, last commit 2022-12-06, main language Python  
-<sub><sup>amazon-sagemaker, aws, aws-systems-manager, machine-learning, pycharm, sagemaker, sagemaker-studio, ssh, vscode</sup></sub>
+### [apilogs](https://github.com/rpgreen/apilogs) by [rpgreen](https://github.com/rpgreen)  
+apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs  
+[https://github.com/rpgreen/apilogs](https://github.com/rpgreen/apilogs)  
+0.74 stars per week over 338 weeks  
+249 stars, 19 forks, 9 watches  
+created 2016-09-07, last commit 2019-11-13, main language Python  
+<sub><sup>api, api-gateway, aws, aws-apigateway, aws-lambda, cloudwatch-logs, gateway, lambda, logging</sup></sub>
 
 
-### [pyfuncol](https://github.com/gondolav/pyfuncol) by [gondolav](https://github.com/gondolav)  
-pyfuncol: Functional collections extension functions for Python  
-[https://pyfuncol.readthedocs.io/](https://pyfuncol.readthedocs.io/)  
-[https://github.com/gondolav/pyfuncol](https://github.com/gondolav/pyfuncol)  
-0.63 stars per week over 50 weeks  
-32 stars, 3 forks, 3 watches  
-created 2021-12-16, last commit 2022-11-16, main language Python  
-<sub><sup>collections, extension-functions, functional, parallel, python, python3</sup></sub>
+### [jsontopydantic](https://github.com/brokenloop/jsontopydantic) by [brokenloop](https://github.com/brokenloop)  
+jsontopydantic: Web tool for generating Pydantic models from JSON objects  
+[https://jsontopydantic.com](https://jsontopydantic.com)  
+[https://github.com/brokenloop/jsontopydantic](https://github.com/brokenloop/jsontopydantic)  
+1.35 stars per week over 118 weeks  
+160 stars, 8 forks, 3 watches  
+created 2020-11-28, last commit 2022-05-13, main language TypeScript  
 
 
 ### [arxiv-dl](https://github.com/markhershey/arxiv-dl) by [markhershey](https://github.com/markhershey)  
 arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader  
 [https://pypi.org/project/arxiv-dl/](https://pypi.org/project/arxiv-dl/)  
 [https://github.com/markhershey/arxiv-dl](https://github.com/markhershey/arxiv-dl)  
-0.16 stars per week over 97 weeks  
+0.14 stars per week over 110 weeks  
 16 stars, 4 forks, 2 watches  
-created 2021-01-21, last commit 2022-12-06, main language Python  
+created 2021-01-21, last commit 2023-01-30, main language Python  
 <sub><sup>arxiv, command-line-tool, cvpr, downloader, paper, paper-with-code</sup></sub>
 
 
-### [micropip](https://github.com/pyodide/micropip) by [pyodide](https://github.com/pyodide)  
-micropip: A lightweight Python package installer for Pyodide  
-[https://micropip.pyodide.org](https://micropip.pyodide.org)  
-[https://github.com/pyodide/micropip](https://github.com/pyodide/micropip)  
-0.93 stars per week over 11 weeks  
-11 stars, 3 forks, 5 watches  
-created 2022-09-15, last commit 2022-12-07, main language Python  
+### [pytrait](https://github.com/xrudelis/pytrait) by [xrudelis](https://github.com/xrudelis)  
+pytrait: Traits for Python3  
+[https://github.com/xrudelis/pytrait](https://github.com/xrudelis/pytrait)  
+1.84 stars per week over 67 weeks  
+123 stars, 3 forks, 3 watches  
+created 2021-11-21, last commit 2021-11-27, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/viz.md b/categories/viz.md
index c8d53f8..c3abab0 100644
--- a/categories/viz.md
+++ b/categories/viz.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 23 curated viz Python libraries and frameworks ordered by stars.  
+A selection of 25 curated viz Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,226 +9,245 @@ Checkout the interactive version that you can filter and sort:
 Streamlit — The fastest way to build data apps in Python  
 [https://streamlit.io](https://streamlit.io)  
 [https://github.com/streamlit/streamlit](https://github.com/streamlit/streamlit)  
-126 stars per week over 171 weeks  
-21,706 stars, 1,948 forks, 283 watches  
-created 2019-08-24, last commit 2022-12-07, main language Python  
+125 stars per week over 184 weeks  
+23,043 stars, 2,045 forks, 285 watches  
+created 2019-08-24, last commit 2023-03-03, main language Python  
 <sub><sup>data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning, python, streamlit</sup></sub>
 
 
-### [dash](https://github.com/plotly/dash) by [plotly](https://github.com/plotly)  
-dash: Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.  
-[https://plotly.com/dash](https://plotly.com/dash)  
-[https://github.com/plotly/dash](https://github.com/plotly/dash)  
-44 stars per week over 399 weeks  
-17,753 stars, 1,811 forks, 408 watches  
-created 2015-04-10, last commit 2022-12-05, main language Python  
-<sub><sup>bioinformatics, charting, dash, data-science, data-visualization, finance, flask, gui-framework, julia, jupyter, modeling, plotly, plotly-dash, productivity, python, r, react, rstats, technical-computing, web-app</sup></sub>
-
-
-### [bokeh](https://github.com/bokeh/bokeh)  
-bokeh: Interactive Data Visualization in the browser, from  Python  
-[https://bokeh.org](https://bokeh.org)  
-[https://github.com/bokeh/bokeh](https://github.com/bokeh/bokeh)  
-30 stars per week over 558 weeks  
-16,967 stars, 4,007 forks, 453 watches  
-created 2012-03-26, last commit 2022-12-07, main language Python  
-<sub><sup>bokeh, data-visualisation, interactive-plots, javascript, jupyter, notebooks, numfocus, plots, plotting, python, visualisation, visualization</sup></sub>
-
-
 ### [matplotlib](https://github.com/matplotlib/matplotlib)  
 matplotlib: plotting with Python  
 [https://matplotlib.org/stable/](https://matplotlib.org/stable/)  
 [https://github.com/matplotlib/matplotlib](https://github.com/matplotlib/matplotlib)  
-26 stars per week over 615 weeks  
-16,508 stars, 6,629 forks, 586 watches  
-created 2011-02-19, last commit 2022-12-07, main language Python  
+26 stars per week over 628 weeks  
+16,947 stars, 6,754 forks, 592 watches  
+created 2011-02-19, last commit 2023-03-03, main language Python  
 <sub><sup>data-science, data-visualization, gtk, hacktoberfest, matplotlib, plotting, python, qt, tk, wx</sup></sub>
 
 
-### [plotly.py](https://github.com/plotly/plotly.py) by [plotly](https://github.com/plotly)  
-plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:  
-[https://plotly.com/python/](https://plotly.com/python/)  
-[https://github.com/plotly/plotly.py](https://github.com/plotly/plotly.py)  
-26 stars per week over 471 weeks  
-12,566 stars, 2,248 forks, 274 watches  
-created 2013-11-21, last commit 2022-10-27, main language Python  
-<sub><sup>d3, dashboard, declarative, graph-library, interactive, jupyter-notebook, plotly, plotly-dash, plotlyjs, python, regl, sparkles, visualization, webgl</sup></sub>
-
-
 ### [gradio](https://github.com/gradio-app/gradio) by [gradio-app](https://github.com/gradio-app)  
 gradio: Create UIs for your machine learning model in Python in 3 minutes  
 [http://www.gradio.app](http://www.gradio.app)  
 [https://github.com/gradio-app/gradio](https://github.com/gradio-app/gradio)  
-53 stars per week over 207 weeks  
-11,064 stars, 697 forks, 87 watches  
-created 2018-12-19, last commit 2022-12-04, main language HTML  
+60 stars per week over 219 weeks  
+13,315 stars, 870 forks, 104 watches  
+created 2018-12-19, last commit 2023-03-04, main language HTML  
 <sub><sup>data-analysis, data-science, data-visualization, deep-learning, deploy, gradio, gradio-interface, interface, machine-learning, models, python, python-notebook, ui, ui-components</sup></sub>
 
 
+### [bokeh](https://github.com/bokeh/bokeh)  
+bokeh: Interactive Data Visualization in the browser, from  Python  
+[https://bokeh.org](https://bokeh.org)  
+[https://github.com/bokeh/bokeh](https://github.com/bokeh/bokeh)  
+30 stars per week over 570 weeks  
+17,285 stars, 4,038 forks, 449 watches  
+created 2012-03-26, last commit 2023-03-03, main language Python  
+<sub><sup>bokeh, data-visualisation, interactive-plots, javascript, jupyter, notebooks, numfocus, plots, plotting, python, visualisation, visualization</sup></sub>
+
+
+### [dash](https://github.com/plotly/dash) by [plotly](https://github.com/plotly)  
+dash: Data Apps & Dashboards for Python. No JavaScript Required.  
+[https://plotly.com/dash](https://plotly.com/dash)  
+[https://github.com/plotly/dash](https://github.com/plotly/dash)  
+44 stars per week over 412 weeks  
+18,198 stars, 1,853 forks, 410 watches  
+created 2015-04-10, last commit 2023-03-02, main language Python  
+<sub><sup>bioinformatics, charting, dash, data-science, data-visualization, finance, flask, gui-framework, julia, jupyter, modeling, plotly, plotly-dash, productivity, python, r, react, rstats, technical-computing, web-app</sup></sub>
+
+
 ### [deck.gl](https://github.com/visgl/deck.gl) by [visgl](https://github.com/visgl)  
 deck.gl: WebGL2 powered visualization framework  
 [https://deck.gl](https://deck.gl)  
 [https://github.com/visgl/deck.gl](https://github.com/visgl/deck.gl)  
-28 stars per week over 364 weeks  
-10,454 stars, 1,876 forks, 1,730 watches  
-created 2015-12-15, last commit 2022-12-06, main language JavaScript  
+28 stars per week over 376 weeks  
+10,650 stars, 1,933 forks, 1,720 watches  
+created 2015-12-15, last commit 2023-03-03, main language JavaScript  
 <sub><sup>data-visualization, geospatial-analysis, javascript, maps, python, visualization, webgl</sup></sub>
 
 
+### [plotly.py](https://github.com/plotly/plotly.py) by [plotly](https://github.com/plotly)  
+plotly.py: The interactive graphing library for Python :sparkles: This project now includes Plotly Express!  
+[https://plotly.com/python/](https://plotly.com/python/)  
+[https://github.com/plotly/plotly.py](https://github.com/plotly/plotly.py)  
+26 stars per week over 484 weeks  
+13,020 stars, 2,306 forks, 275 watches  
+created 2013-11-21, last commit 2023-02-24, main language Python  
+<sub><sup>d3, dashboard, declarative, graph-library, interactive, jupyter-notebook, plotly, plotly-dash, plotlyjs, python, regl, sparkles, visualization, webgl</sup></sub>
+
+
 ### [seaborn](https://github.com/mwaskom/seaborn) by [mwaskom](https://github.com/mwaskom)  
 seaborn: Statistical data visualization in Python  
 [https://seaborn.pydata.org](https://seaborn.pydata.org)  
 [https://github.com/mwaskom/seaborn](https://github.com/mwaskom/seaborn)  
-18 stars per week over 546 weeks  
-10,146 stars, 1,677 forks, 252 watches  
-created 2012-06-18, last commit 2022-12-06, main language Python  
+18 stars per week over 558 weeks  
+10,425 stars, 1,709 forks, 252 watches  
+created 2012-06-18, last commit 2023-02-26, main language Python  
 <sub><sup>data-science, data-visualization, matplotlib, pandas, python</sup></sub>
 
 
-### [prettymaps](https://github.com/marceloprates/prettymaps) by [marceloprates](https://github.com/marceloprates)  
-prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.  
-[https://github.com/marceloprates/prettymaps](https://github.com/marceloprates/prettymaps)  
-97 stars per week over 91 weeks  
-8,917 stars, 430 forks, 78 watches  
-created 2021-03-05, last commit 2022-11-16, main language Jupyter Notebook  
-<sub><sup>cartography, generative-art, jupyter-notebook, maps, matplotlib, openstreetmap, python</sup></sub>
-
-
 ### [altair](https://github.com/altair-viz/altair) by [altair-viz](https://github.com/altair-viz)  
 altair: Declarative statistical visualization library for Python  
 [https://altair-viz.github.io/](https://altair-viz.github.io/)  
 [https://github.com/altair-viz/altair](https://github.com/altair-viz/altair)  
-21 stars per week over 376 weeks  
-7,913 stars, 708 forks, 150 watches  
-created 2015-09-19, last commit 2022-12-01, main language Python  
+20 stars per week over 389 weeks  
+8,090 stars, 717 forks, 147 watches  
+created 2015-09-19, last commit 2023-03-01, main language Python  
 
 
-### [lux](https://github.com/lux-org/lux) by [lux-org](https://github.com/lux-org)  
-lux: Automatically visualize your pandas dataframe via a single print! 📊 💡  
-[https://github.com/lux-org/lux](https://github.com/lux-org/lux)  
-28 stars per week over 152 weeks  
-4,317 stars, 336 forks, 86 watches  
-created 2020-01-08, last commit 2022-05-21, main language Python  
-<sub><sup>data-science, exploratory-data-analysis, jupyter, pandas, python, visualization, visualization-tools</sup></sub>
+### [prettymaps](https://github.com/marceloprates/prettymaps) by [marceloprates](https://github.com/marceloprates)  
+prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.  
+[https://github.com/marceloprates/prettymaps](https://github.com/marceloprates/prettymaps)  
+87 stars per week over 104 weeks  
+9,085 stars, 442 forks, 73 watches  
+created 2021-03-05, last commit 2023-02-15, main language Jupyter Notebook  
+<sub><sup>cartography, generative-art, jupyter-notebook, maps, matplotlib, openstreetmap, python</sup></sub>
+
+
+### [panel](https://github.com/holoviz/panel) by [holoviz](https://github.com/holoviz)  
+panel: A high-level app and dashboarding solution for Python  
+[https://panel.holoviz.org](https://panel.holoviz.org)  
+[https://github.com/holoviz/panel](https://github.com/holoviz/panel)  
+11 stars per week over 236 weeks  
+2,613 stars, 322 forks, 48 watches  
+created 2018-08-23, last commit 2023-03-04, main language Python  
+<sub><sup>bokeh, control-panels, dashboards, dataapp, datascience, dataviz, gui, holoviews, holoviz, hvplot, jupyter, matplotlib, panel, plotly</sup></sub>
 
 
 ### [dtale](https://github.com/man-group/dtale) by [man-group](https://github.com/man-group)  
 dtale: Visualizer for pandas data structures  
 [http://alphatechadmin.pythonanywhere.com](http://alphatechadmin.pythonanywhere.com)  
 [https://github.com/man-group/dtale](https://github.com/man-group/dtale)  
-21 stars per week over 177 weeks  
-3,754 stars, 315 forks, 67 watches  
-created 2019-07-15, last commit 2022-11-04, main language TypeScript  
+20 stars per week over 189 weeks  
+3,907 stars, 332 forks, 68 watches  
+created 2019-07-15, last commit 2023-03-03, main language TypeScript  
 <sub><sup>data-analysis, data-science, data-visualization, flask, ipython, jupyter-notebook, pandas, plotly-dash, python27, python3, react, react-virtualized, visualization, xarray</sup></sub>
 
 
-### [plotnine](https://github.com/has2k1/plotnine) by [has2k1](https://github.com/has2k1)  
-plotnine: A grammar of graphics for Python  
-[https://plotnine.readthedocs.io/en/stable/](https://plotnine.readthedocs.io/en/stable/)  
-[https://github.com/has2k1/plotnine](https://github.com/has2k1/plotnine)  
-11 stars per week over 293 weeks  
-3,268 stars, 184 forks, 65 watches  
-created 2017-04-24, last commit 2022-11-29, main language Python  
-<sub><sup>data-analysis, grammar, graphics, plotting, python</sup></sub>
-
-
 ### [vispy](https://github.com/vispy/vispy)  
 vispy: Main repository for Vispy  
 [http://vispy.org](http://vispy.org)  
 [https://github.com/vispy/vispy](https://github.com/vispy/vispy)  
-5.88 stars per week over 506 weeks  
-2,979 stars, 604 forks, 122 watches  
-created 2013-03-21, last commit 2022-11-14, main language Python  
+5.82 stars per week over 519 weeks  
+3,022 stars, 607 forks, 119 watches  
+created 2013-03-21, last commit 2023-01-23, main language Python  
 <sub><sup>closember, hacktoberfest, opengl, python, visualization</sup></sub>
 
 
-### [opyrator](https://github.com/ml-tooling/opyrator) by [ml-tooling](https://github.com/ml-tooling)  
-opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.  
-[https://opyrator-playground.mltooling.org](https://opyrator-playground.mltooling.org)  
-[https://github.com/ml-tooling/opyrator](https://github.com/ml-tooling/opyrator)  
-31 stars per week over 87 weeks  
-2,749 stars, 132 forks, 48 watches  
-created 2021-04-06, last commit 2021-05-06, main language Python  
-<sub><sup>deployment, faas, fastapi, functions, machine-learning, microservices, pydantic, python, python-functions, serverless, streamlit, type-hints</sup></sub>
+### [holoviews](https://github.com/holoviz/holoviews) by [holoviz](https://github.com/holoviz)  
+holoviews: With Holoviews, your data visualizes itself.  
+[https://holoviews.org](https://holoviews.org)  
+[https://github.com/holoviz/holoviews](https://github.com/holoviz/holoviews)  
+5.18 stars per week over 460 weeks  
+2,388 stars, 373 forks, 61 watches  
+created 2014-05-07, last commit 2023-03-03, main language Python  
+<sub><sup>holoviews, holoviz, plotting</sup></sub>
 
 
-### [panel](https://github.com/holoviz/panel) by [holoviz](https://github.com/holoviz)  
-panel: A high-level app and dashboarding solution for Python  
-[https://panel.holoviz.org](https://panel.holoviz.org)  
-[https://github.com/holoviz/panel](https://github.com/holoviz/panel)  
-10 stars per week over 223 weeks  
-2,418 stars, 313 forks, 47 watches  
-created 2018-08-23, last commit 2022-12-06, main language Python  
-<sub><sup>control-panels, dashboards, gui, holoviz, panel</sup></sub>
+### [plotnine](https://github.com/has2k1/plotnine) by [has2k1](https://github.com/has2k1)  
+plotnine: A grammar of graphics for Python  
+[https://plotnine.readthedocs.io/en/stable/](https://plotnine.readthedocs.io/en/stable/)  
+[https://github.com/has2k1/plotnine](https://github.com/has2k1/plotnine)  
+11 stars per week over 305 weeks  
+3,377 stars, 194 forks, 67 watches  
+created 2017-04-24, last commit 2023-02-01, main language Python  
+<sub><sup>data-analysis, grammar, graphics, plotting, python</sup></sub>
+
+
+### [lux](https://github.com/lux-org/lux) by [lux-org](https://github.com/lux-org)  
+lux: Automatically visualize your pandas dataframe via a single print! 📊 💡  
+[https://github.com/lux-org/lux](https://github.com/lux-org/lux)  
+27 stars per week over 164 weeks  
+4,456 stars, 344 forks, 86 watches  
+created 2020-01-08, last commit 2022-05-21, main language Python  
+<sub><sup>data-science, exploratory-data-analysis, jupyter, pandas, python, visualization, visualization-tools</sup></sub>
 
 
 ### [hiplot](https://github.com/facebookresearch/hiplot) by [facebookresearch](https://github.com/facebookresearch)  
 HiPlot makes understanding high dimensional data easy  
 [https://facebookresearch.github.io/hiplot/](https://facebookresearch.github.io/hiplot/)  
 [https://github.com/facebookresearch/hiplot](https://github.com/facebookresearch/hiplot)  
-14 stars per week over 160 weeks  
-2,378 stars, 120 forks, 28 watches  
-created 2019-11-08, last commit 2022-12-05, main language TypeScript  
-
-
-### [holoviews](https://github.com/holoviz/holoviews) by [holoviz](https://github.com/holoviz)  
-holoviews: With Holoviews, your data visualizes itself.  
-[https://holoviews.org](https://holoviews.org)  
-[https://github.com/holoviz/holoviews](https://github.com/holoviz/holoviews)  
-5.2 stars per week over 448 weeks  
-2,330 stars, 364 forks, 61 watches  
-created 2014-05-07, last commit 2022-12-05, main language Python  
-<sub><sup>holoviews, holoviz, plotting</sup></sub>
+14 stars per week over 173 weeks  
+2,429 stars, 124 forks, 29 watches  
+created 2019-11-08, last commit 2023-03-03, main language TypeScript  
 
 
-### [mayavi](https://github.com/enthought/mayavi) by [enthought](https://github.com/enthought)  
-mayavi: 3D visualization of scientific data in Python  
-[http://docs.enthought.com/mayavi/mayavi/](http://docs.enthought.com/mayavi/mayavi/)  
-[https://github.com/enthought/mayavi](https://github.com/enthought/mayavi)  
-1.7 stars per week over 619 weeks  
-1,054 stars, 264 forks, 93 watches  
-created 2011-01-24, last commit 2022-10-18, main language Python  
+### [datapane](https://github.com/datapane/datapane)  
+datapane: Build full-stack data analytics apps in Python  
+[https://datapane.com](https://datapane.com)  
+[https://github.com/datapane/datapane](https://github.com/datapane/datapane)  
+5.27 stars per week over 149 weeks  
+788 stars, 64 forks, 16 watches  
+created 2020-04-23, last commit 2023-03-03, main language Python  
+<sub><sup>dashboard, data-visualization, hacktoberfest, python, reporting</sup></sub>
 
 
 ### [dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components) by [facultyai](https://github.com/facultyai)  
 dash-bootstrap-components: Bootstrap components for Plotly Dash  
 [https://dash-bootstrap-components.opensource.faculty.ai/](https://dash-bootstrap-components.opensource.faculty.ai/)  
 [https://github.com/facultyai/dash-bootstrap-components](https://github.com/facultyai/dash-bootstrap-components)  
-4.21 stars per week over 219 weeks  
-925 stars, 201 forks, 21 watches  
-created 2018-09-21, last commit 2022-08-03, main language JavaScript  
+4.09 stars per week over 232 weeks  
+949 stars, 202 forks, 21 watches  
+created 2018-09-21, last commit 2023-02-28, main language JavaScript  
 <sub><sup>bootstrap, dashboards, julia, plotly-dash, python, r</sup></sub>
 
 
-### [mahotas](https://github.com/luispedro/mahotas) by [luispedro](https://github.com/luispedro)  
-mahotas: Computer Vision in Python  
-[https://mahotas.rtfd.io](https://mahotas.rtfd.io)  
-[https://github.com/luispedro/mahotas](https://github.com/luispedro/mahotas)  
-1.17 stars per week over 670 weeks  
-783 stars, 149 forks, 47 watches  
-created 2010-01-31, last commit 2022-11-14, main language Python  
-<sub><sup>c-plus-plus, computer-vision, numpy, python, python-2, python-3</sup></sub>
+### [opyrator](https://github.com/ml-tooling/opyrator) by [ml-tooling](https://github.com/ml-tooling)  
+opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.  
+[https://opyrator-playground.mltooling.org](https://opyrator-playground.mltooling.org)  
+[https://github.com/ml-tooling/opyrator](https://github.com/ml-tooling/opyrator)  
+28 stars per week over 99 weeks  
+2,802 stars, 137 forks, 49 watches  
+created 2021-04-06, last commit 2021-05-06, main language Python  
+<sub><sup>deployment, faas, fastapi, functions, machine-learning, microservices, pydantic, python, python-functions, serverless, streamlit, type-hints</sup></sub>
 
 
 ### [holoviz](https://github.com/holoviz/holoviz)  
 holoviz: High-level tools to simplify visualization in Python.  
 [https://holoviz.org/](https://holoviz.org/)  
 [https://github.com/holoviz/holoviz](https://github.com/holoviz/holoviz)  
-2.34 stars per week over 271 weeks  
-635 stars, 114 forks, 35 watches  
-created 2017-09-22, last commit 2022-12-07, main language Python  
+2.33 stars per week over 284 weeks  
+661 stars, 116 forks, 35 watches  
+created 2017-09-22, last commit 2023-01-30, main language Python  
 <sub><sup>colorcet, datashader, geoviews, holoviews, holoviz, hvplot, panel</sup></sub>
 
 
+### [mayavi](https://github.com/enthought/mayavi) by [enthought](https://github.com/enthought)  
+mayavi: 3D visualization of scientific data in Python  
+[http://docs.enthought.com/mayavi/mayavi/](http://docs.enthought.com/mayavi/mayavi/)  
+[https://github.com/enthought/mayavi](https://github.com/enthought/mayavi)  
+1.72 stars per week over 631 weeks  
+1,088 stars, 265 forks, 97 watches  
+created 2011-01-24, last commit 2022-10-18, main language Python  
+
+
+### [mahotas](https://github.com/luispedro/mahotas) by [luispedro](https://github.com/luispedro)  
+mahotas: Computer Vision in Python  
+[https://mahotas.rtfd.io](https://mahotas.rtfd.io)  
+[https://github.com/luispedro/mahotas](https://github.com/luispedro/mahotas)  
+1.17 stars per week over 683 weeks  
+796 stars, 151 forks, 48 watches  
+created 2010-01-31, last commit 2023-02-26, main language Python  
+<sub><sup>c-plus-plus, computer-vision, numpy, python, python-2, python-3</sup></sub>
+
+
 ### [nodevectors](https://github.com/vhranger/nodevectors) by [vhranger](https://github.com/vhranger)  
 nodevectors: Fastest network node embeddings in the west  
 [https://github.com/vhranger/nodevectors](https://github.com/vhranger/nodevectors)  
-2.5 stars per week over 175 weeks  
-440 stars, 52 forks, 11 watches  
+2.43 stars per week over 188 weeks  
+458 stars, 53 forks, 11 watches  
 created 2019-07-25, last commit 2021-11-06, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+### [chartpy](https://github.com/cuemacro/chartpy) by [cuemacro](https://github.com/cuemacro)  
+chartpy: Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more  
+[https://github.com/cuemacro/chartpy](https://github.com/cuemacro/chartpy)  
+1.48 stars per week over 343 weeks  
+510 stars, 98 forks, 48 watches  
+created 2016-08-03, last commit 2022-11-02, main language Python  
+<sub><sup>bokeh, chart, matplotlib, plotly, plotting</sup></sub>
+
+
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/categories/web.md b/categories/web.md
index 42e35bf..436c267 100644
--- a/categories/web.md
+++ b/categories/web.md
@@ -1,5 +1,5 @@
 # Crazy Awesome Python
-A selection of 36 curated web Python libraries and frameworks ordered by stars.  
+A selection of 43 curated web Python libraries and frameworks ordered by stars.  
 
 Checkout the interactive version that you can filter and sort: 
 [https://www.awesomepython.org/](https://www.awesomepython.org/)  
@@ -9,89 +9,89 @@ Checkout the interactive version that you can filter and sort:
 django: The Web framework for perfectionists with deadlines.  
 [https://www.djangoproject.com/](https://www.djangoproject.com/)  
 [https://github.com/django/django](https://github.com/django/django)  
-122 stars per week over 553 weeks  
-67,603 stars, 28,283 forks, 2,267 watches  
-created 2012-04-28, last commit 2022-12-07, main language Python  
+122 stars per week over 566 weeks  
+69,086 stars, 28,735 forks, 2,266 watches  
+created 2012-04-28, last commit 2023-03-04, main language Python  
 <sub><sup>apps, django, framework, models, orm, python, templates, views, web</sup></sub>
 
 
-### [flask](https://github.com/pallets/flask) by [pallets](https://github.com/pallets)  
-flask: The Python micro framework for building web applications.  
-[https://flask.palletsprojects.com](https://flask.palletsprojects.com)  
-[https://github.com/pallets/flask](https://github.com/pallets/flask)  
-92 stars per week over 661 weeks  
-61,266 stars, 15,345 forks, 2,147 watches  
-created 2010-04-06, last commit 2022-11-25, main language Python  
-<sub><sup>flask, jinja, pallets, python, web-framework, werkzeug, wsgi</sup></sub>
-
-
 ### [fastapi](https://github.com/tiangolo/fastapi) by [tiangolo](https://github.com/tiangolo)  
 FastAPI framework, high performance, easy to learn, fast to code, ready for production  
 [https://fastapi.tiangolo.com/](https://fastapi.tiangolo.com/)  
 [https://github.com/tiangolo/fastapi](https://github.com/tiangolo/fastapi)  
-250 stars per week over 208 weeks  
-52,245 stars, 4,281 forks, 601 watches  
-created 2018-12-08, last commit 2022-12-03, main language Python  
+249 stars per week over 221 weeks  
+55,127 stars, 4,572 forks, 616 watches  
+created 2018-12-08, last commit 2023-03-04, main language Python  
 <sub><sup>api, async, asyncio, fastapi, framework, json, json-schema, openapi, openapi3, pydantic, python, python-types, python3, redoc, rest, starlette, swagger, swagger-ui, uvicorn, web</sup></sub>
 
 
-### [requests](https://github.com/psf/requests) by [psf](https://github.com/psf)  
-requests: A simple, yet elegant, HTTP library.  
-[https://requests.readthedocs.io/en/latest/](https://requests.readthedocs.io/en/latest/)  
-[https://github.com/psf/requests](https://github.com/psf/requests)  
-78 stars per week over 616 weeks  
-48,656 stars, 8,921 forks, 1,360 watches  
-created 2011-02-13, last commit 2022-11-21, main language Python  
-<sub><sup>client, cookies, forhumans, http, humans, python, python-requests, requests</sup></sub>
+### [pyscript](https://github.com/pyscript/pyscript)  
+pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples  
+[https://github.com/pyscript/pyscript/discussions](https://github.com/pyscript/pyscript/discussions)  
+[https://github.com/pyscript/pyscript](https://github.com/pyscript/pyscript)  
+288 stars per week over 53 weeks  
+15,525 stars, 1,166 forks, 175 watches  
+created 2022-02-21, last commit 2023-03-03, main language Python  
+<sub><sup>html, javascript, python, wasm</sup></sub>
+
+
+### [pynecone](https://github.com/pynecone-io/pynecone) by [pynecone-io](https://github.com/pynecone-io)  
+pynecone: 🕸 Web apps in pure Python 🐍  
+[https://pynecone.io](https://pynecone.io)  
+[https://github.com/pynecone-io/pynecone](https://github.com/pynecone-io/pynecone)  
+298 stars per week over 18 weeks  
+5,577 stars, 188 forks, 57 watches  
+created 2022-10-25, last commit 2023-03-04, main language Python  
+<sub><sup>framework, fullstack, infrastructure, open-source, python, python-library, python3, web, webdev</sup></sub>
+
+
+### [flask](https://github.com/pallets/flask) by [pallets](https://github.com/pallets)  
+flask: The Python micro framework for building web applications.  
+[https://flask.palletsprojects.com](https://flask.palletsprojects.com)  
+[https://github.com/pallets/flask](https://github.com/pallets/flask)  
+92 stars per week over 673 weeks  
+62,081 stars, 15,482 forks, 2,143 watches  
+created 2010-04-06, last commit 2023-03-01, main language Python  
+<sub><sup>flask, jinja, pallets, python, web-framework, werkzeug, wsgi</sup></sub>
 
 
 ### [sherlock](https://github.com/sherlock-project/sherlock) by [sherlock-project](https://github.com/sherlock-project)  
 sherlock: 🔎 Hunt down social media accounts by username across social networks  
 [http://sherlock-project.github.io](http://sherlock-project.github.io)  
 [https://github.com/sherlock-project/sherlock](https://github.com/sherlock-project/sherlock)  
-182 stars per week over 206 weeks  
-37,642 stars, 4,443 forks, 962 watches  
-created 2018-12-24, last commit 2022-10-21, main language Python  
+180 stars per week over 218 weeks  
+39,426 stars, 4,684 forks, 980 watches  
+created 2018-12-24, last commit 2023-02-27, main language Python  
 <sub><sup>cli, hacktoberfest, hacktoberfest2022, information-gathering, linux, macos, osint, python, python3, reconnaissance, redteam, sherlock, tools, windows</sup></sub>
 
 
-### [tornado](https://github.com/tornadoweb/tornado) by [tornadoweb](https://github.com/tornadoweb)  
-Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.  
-[http://www.tornadoweb.org/](http://www.tornadoweb.org/)  
-[https://github.com/tornadoweb/tornado](https://github.com/tornadoweb/tornado)  
-30 stars per week over 691 weeks  
-20,892 stars, 5,484 forks, 1,007 watches  
-created 2009-09-09, last commit 2022-11-28, main language Python  
-<sub><sup>asynchronous, python</sup></sub>
+### [requests](https://github.com/psf/requests) by [psf](https://github.com/psf)  
+requests: A simple, yet elegant, HTTP library.  
+[https://requests.readthedocs.io/en/latest/](https://requests.readthedocs.io/en/latest/)  
+[https://github.com/psf/requests](https://github.com/psf/requests)  
+78 stars per week over 629 weeks  
+49,147 stars, 8,992 forks, 1,352 watches  
+created 2011-02-13, last commit 2023-03-03, main language Python  
+<sub><sup>client, cookies, forhumans, http, humans, python, python-requests, requests</sup></sub>
 
 
 ### [sanic](https://github.com/huge-success/sanic) by [huge-success](https://github.com/huge-success)  
-sanic: Next generation Python web server/framework | Build fast. Run fast.  
+sanic:  Accelerate your web app development  | Build fast. Run fast.  
 [https://sanic.dev](https://sanic.dev)  
 [https://github.com/huge-success/sanic](https://github.com/huge-success/sanic)  
-48 stars per week over 340 weeks  
-16,668 stars, 1,481 forks, 413 watches  
-created 2016-05-26, last commit 2022-11-29, main language Python  
+47 stars per week over 353 weeks  
+16,886 stars, 1,493 forks, 413 watches  
+created 2016-05-26, last commit 2023-02-27, main language Python  
 <sub><sup>api-server, asgi, asyncio, framework, python, sanic, web, web-framework, web-server</sup></sub>
 
 
-### [pyscript](https://github.com/pyscript/pyscript)  
-pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples  
-[https://community.anaconda.cloud/c/tech-topics/pyscript](https://community.anaconda.cloud/c/tech-topics/pyscript)  
-[https://github.com/pyscript/pyscript](https://github.com/pyscript/pyscript)  
-364 stars per week over 41 weeks  
-15,047 stars, 1,104 forks, 179 watches  
-created 2022-02-21, last commit 2022-12-06, main language Python  
-<sub><sup>html, javascript, python</sup></sub>
-
-
 ### [aiohttp](https://github.com/aio-libs/aiohttp) by [aio-libs](https://github.com/aio-libs)  
 aiohttp: Asynchronous HTTP client/server framework for asyncio and Python  
 [https://docs.aiohttp.org](https://docs.aiohttp.org)  
 [https://github.com/aio-libs/aiohttp](https://github.com/aio-libs/aiohttp)  
-27 stars per week over 479 weeks  
-13,079 stars, 1,833 forks, 228 watches  
-created 2013-10-01, last commit 2022-12-05, main language Python  
+27 stars per week over 491 weeks  
+13,318 stars, 1,870 forks, 227 watches  
+created 2013-10-01, last commit 2023-02-28, main language Python  
 <sub><sup>aiohttp, async, asyncio, hacktoberfest, http, http-client, http-server, python</sup></sub>
 
 
@@ -99,79 +99,49 @@ created 2013-10-01, last commit 2022-12-05, main language Python
 httpx: A next generation HTTP client for Python. 🦋  
 [https://www.python-httpx.org/](https://www.python-httpx.org/)  
 [https://github.com/encode/httpx](https://github.com/encode/httpx)  
-50 stars per week over 191 weeks  
-9,742 stars, 636 forks, 105 watches  
-created 2019-04-04, last commit 2022-12-06, main language Python  
+49 stars per week over 204 weeks  
+10,136 stars, 673 forks, 112 watches  
+created 2019-04-04, last commit 2023-03-01, main language Python  
 <sub><sup>asyncio, http, python, trio</sup></sub>
 
 
-### [falcon](https://github.com/falconry/falcon) by [falconry](https://github.com/falconry)  
-falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.  
-[https://falcon.readthedocs.io/en/stable/](https://falcon.readthedocs.io/en/stable/)  
-[https://github.com/falconry/falcon](https://github.com/falconry/falcon)  
-17 stars per week over 521 weeks  
-8,965 stars, 897 forks, 266 watches  
-created 2012-12-06, last commit 2022-12-02, main language Python  
-<sub><sup>api, api-rest, asgi, framework, hacktoberfest, hacktoberfest-accepted, hacktoberfest2022, http, microservices, python, rest, web, wsgi</sup></sub>
-
-
-### [gunicorn](https://github.com/benoitc/gunicorn) by [benoitc](https://github.com/benoitc)  
-gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.  
-[http://www.gunicorn.org](http://www.gunicorn.org)  
-[https://github.com/benoitc/gunicorn](https://github.com/benoitc/gunicorn)  
-12 stars per week over 679 weeks  
-8,665 stars, 1,616 forks, 235 watches  
-created 2009-11-30, last commit 2022-12-03, main language Python  
-<sub><sup>http, http-server, python, wsgi, wsgi-server</sup></sub>
-
-
 ### [starlette](https://github.com/encode/starlette) by [encode](https://github.com/encode)  
 starlette: The little ASGI framework that shines. 🌟  
 [https://www.starlette.io/](https://www.starlette.io/)  
 [https://github.com/encode/starlette](https://github.com/encode/starlette)  
-32 stars per week over 232 weeks  
-7,651 stars, 689 forks, 110 watches  
-created 2018-06-25, last commit 2022-12-05, main language Python  
-<sub><sup>async, graphql, http, python, websockets</sup></sub>
+32 stars per week over 244 weeks  
+7,944 stars, 720 forks, 111 watches  
+created 2018-06-25, last commit 2023-03-03, main language Python  
+<sub><sup>async, http, python, websockets</sup></sub>
 
 
-### [graphene](https://github.com/graphql-python/graphene) by [graphql-python](https://github.com/graphql-python)  
-graphene: GraphQL framework for Python  
-[http://graphene-python.org/](http://graphene-python.org/)  
-[https://github.com/graphql-python/graphene](https://github.com/graphql-python/graphene)  
-19 stars per week over 375 weeks  
-7,484 stars, 803 forks, 146 watches  
-created 2015-09-24, last commit 2022-12-01, main language Python  
-<sub><sup>framework, graphene, graphql, python, relay</sup></sub>
-
-
-### [eve](https://github.com/pyeve/eve) by [pyeve](https://github.com/pyeve)  
-eve: REST API framework designed for human beings  
-[https://python-eve.org](https://python-eve.org)  
-[https://github.com/pyeve/eve](https://github.com/pyeve/eve)  
-12 stars per week over 528 weeks  
-6,563 stars, 752 forks, 228 watches  
-created 2012-10-22, last commit 2022-11-10, main language Python  
-<sub><sup>flask, mongodb, python, rest</sup></sub>
+### [tornado](https://github.com/tornadoweb/tornado) by [tornadoweb](https://github.com/tornadoweb)  
+Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.  
+[http://www.tornadoweb.org/](http://www.tornadoweb.org/)  
+[https://github.com/tornadoweb/tornado](https://github.com/tornadoweb/tornado)  
+29 stars per week over 703 weeks  
+21,004 stars, 5,494 forks, 1,003 watches  
+created 2009-09-09, last commit 2023-02-21, main language Python  
+<sub><sup>asynchronous, python</sup></sub>
 
 
-### [werkzeug](https://github.com/pallets/werkzeug) by [pallets](https://github.com/pallets)  
-werkzeug: The comprehensive WSGI web application library.  
-[https://werkzeug.palletsprojects.com](https://werkzeug.palletsprojects.com)  
-[https://github.com/pallets/werkzeug](https://github.com/pallets/werkzeug)  
-9.83 stars per week over 633 weeks  
-6,226 stars, 1,663 forks, 227 watches  
-created 2010-10-18, last commit 2022-11-01, main language Python  
-<sub><sup>http, pallets, python, werkzeug, wsgi</sup></sub>
+### [starlite](https://github.com/starlite-api/starlite) by [starlite-api](https://github.com/starlite-api)  
+starlite: Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs  
+[https://starliteproject.dev](https://starliteproject.dev)  
+[https://github.com/starlite-api/starlite](https://github.com/starlite-api/starlite)  
+27 stars per week over 64 weeks  
+1,765 stars, 174 forks, 26 watches  
+created 2021-12-06, last commit 2023-03-03, main language Python  
+<sub><sup>api, asgi, openapi, pydantic, python, redoc, rest, starlite, starlite-api, starlite-framework, swagger</sup></sub>
 
 
 ### [uvicorn](https://github.com/encode/uvicorn) by [encode](https://github.com/encode)  
 uvicorn: An ASGI web server, for Python. 🦄  
 [https://www.uvicorn.org/](https://www.uvicorn.org/)  
 [https://github.com/encode/uvicorn](https://github.com/encode/uvicorn)  
-20 stars per week over 288 weeks  
-5,925 stars, 524 forks, 86 watches  
-created 2017-05-31, last commit 2022-12-06, main language Python  
+20 stars per week over 300 weeks  
+6,218 stars, 551 forks, 84 watches  
+created 2017-05-31, last commit 2023-03-01, main language Python  
 <sub><sup>asgi, asyncio, http, http-server, python</sup></sub>
 
 
@@ -179,182 +149,278 @@ created 2017-05-31, last commit 2022-12-06, main language Python
 django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs  
 [https://django-ninja.rest-framework.com](https://django-ninja.rest-framework.com)  
 [https://github.com/vitalik/django-ninja](https://github.com/vitalik/django-ninja)  
-27 stars per week over 133 weeks  
-3,725 stars, 231 forks, 62 watches  
-created 2020-05-19, last commit 2022-11-20, main language Python  
+28 stars per week over 145 weeks  
+4,107 stars, 262 forks, 62 watches  
+created 2020-05-19, last commit 2023-02-24, main language Python  
 <sub><sup>django, django-ninja, openapi, pydantic, python, rest-api, swagger, swagger-ui</sup></sub>
 
 
-### [PyWebIO](https://github.com/pywebio/pywebio) by [pywebio](https://github.com/pywebio)  
-PyWebIO: Write interactive web app in script way.  
-[https://pywebio.readthedocs.io](https://pywebio.readthedocs.io)  
-[https://github.com/pywebio/pywebio](https://github.com/pywebio/pywebio)  
-24 stars per week over 144 weeks  
-3,527 stars, 314 forks, 44 watches  
-created 2020-02-29, last commit 2022-11-26, main language Python  
-<sub><sup>pywebio</sup></sub>
+### [strawberry](https://github.com/strawberry-graphql/strawberry) by [strawberry-graphql](https://github.com/strawberry-graphql)  
+strawberry: A GraphQL library for Python that leverages type annotations 🍓  
+[https://strawberry.rocks](https://strawberry.rocks)  
+[https://github.com/strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry)  
+13 stars per week over 219 weeks  
+2,986 stars, 374 forks, 40 watches  
+created 2018-12-21, last commit 2023-03-02, main language Python  
+<sub><sup>asgi, asyncio, django, graphql, graphql-library, graphql-schema, graphql-server, hacktoberfest, mypy, python, starlette, strawberry</sup></sub>
 
 
-### [uwsgi](https://github.com/unbit/uwsgi) by [unbit](https://github.com/unbit)  
-uWSGI application server container  
-[http://projects.unbit.it/uwsgi](http://projects.unbit.it/uwsgi)  
-[https://github.com/unbit/uwsgi](https://github.com/unbit/uwsgi)  
-5.52 stars per week over 582 weeks  
-3,217 stars, 668 forks, 113 watches  
-created 2011-10-09, last commit 2022-11-23, main language C  
+### [graphene](https://github.com/graphql-python/graphene) by [graphql-python](https://github.com/graphql-python)  
+graphene: GraphQL framework for Python  
+[http://graphene-python.org/](http://graphene-python.org/)  
+[https://github.com/graphql-python/graphene](https://github.com/graphql-python/graphene)  
+19 stars per week over 388 weeks  
+7,591 stars, 812 forks, 144 watches  
+created 2015-09-24, last commit 2023-03-03, main language Python  
+<sub><sup>framework, graphene, graphql, python, relay</sup></sub>
 
 
-### [websocket-client](https://github.com/websocket-client/websocket-client)  
-websocket-client: WebSocket client for Python  
-[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
-[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
-5.02 stars per week over 623 weeks  
-3,128 stars, 721 forks, 88 watches  
-created 2010-12-28, last commit 2022-11-04, main language Python  
-<sub><sup>python, rfc-6455, websocket, websocket-client, websockets, websockets-client</sup></sub>
+### [werkzeug](https://github.com/pallets/werkzeug) by [pallets](https://github.com/pallets)  
+werkzeug: The comprehensive WSGI web application library.  
+[https://werkzeug.palletsprojects.com](https://werkzeug.palletsprojects.com)  
+[https://github.com/pallets/werkzeug](https://github.com/pallets/werkzeug)  
+9.75 stars per week over 645 weeks  
+6,296 stars, 1,683 forks, 227 watches  
+created 2010-10-18, last commit 2023-03-03, main language Python  
+<sub><sup>http, pallets, python, werkzeug, wsgi</sup></sub>
 
 
-### [strawberry](https://github.com/strawberry-graphql/strawberry) by [strawberry-graphql](https://github.com/strawberry-graphql)  
-strawberry: A GraphQL library for Python that leverages type annotations 🍓  
-[https://strawberry.rocks](https://strawberry.rocks)  
-[https://github.com/strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry)  
-13 stars per week over 206 weeks  
-2,776 stars, 340 forks, 43 watches  
-created 2018-12-21, last commit 2022-12-07, main language Python  
-<sub><sup>asgi, asyncio, django, graphql, graphql-library, graphql-schema, graphql-server, hacktoberfest, mypy, python, starlette, strawberry</sup></sub>
+### [gunicorn](https://github.com/benoitc/gunicorn) by [benoitc](https://github.com/benoitc)  
+gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.  
+[http://www.gunicorn.org](http://www.gunicorn.org)  
+[https://github.com/benoitc/gunicorn](https://github.com/benoitc/gunicorn)  
+12 stars per week over 691 weeks  
+8,801 stars, 1,631 forks, 229 watches  
+created 2009-11-30, last commit 2023-01-26, main language Python  
+<sub><sup>http, http-server, python, wsgi, wsgi-server</sup></sub>
+
+
+### [falcon](https://github.com/falconry/falcon) by [falconry](https://github.com/falconry)  
+falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.  
+[https://falcon.readthedocs.io/en/stable/](https://falcon.readthedocs.io/en/stable/)  
+[https://github.com/falconry/falcon](https://github.com/falconry/falcon)  
+16 stars per week over 534 weeks  
+9,016 stars, 901 forks, 267 watches  
+created 2012-12-06, last commit 2023-01-18, main language Python  
+<sub><sup>api, api-rest, asgi, framework, http, microservices, python, rest, web, wsgi</sup></sub>
+
+
+### [PyWebIO](https://github.com/pywebio/pywebio) by [pywebio](https://github.com/pywebio)  
+PyWebIO: Write interactive web app in script way.  
+[https://pywebio.readthedocs.io](https://pywebio.readthedocs.io)  
+[https://github.com/pywebio/pywebio](https://github.com/pywebio/pywebio)  
+23 stars per week over 157 weeks  
+3,718 stars, 334 forks, 50 watches  
+created 2020-02-29, last commit 2023-02-06, main language Python  
+<sub><sup>pywebio</sup></sub>
 
 
 ### [fastapi-users](https://github.com/fastapi-users/fastapi-users)  
 fastapi-users: Ready-to-use and customizable users management for FastAPI  
 [https://fastapi-users.github.io/fastapi-users/](https://fastapi-users.github.io/fastapi-users/)  
 [https://github.com/fastapi-users/fastapi-users](https://github.com/fastapi-users/fastapi-users)  
-13 stars per week over 165 weeks  
-2,299 stars, 236 forks, 33 watches  
-created 2019-10-05, last commit 2022-11-04, main language Python  
+14 stars per week over 178 weeks  
+2,520 stars, 250 forks, 34 watches  
+created 2019-10-05, last commit 2023-02-14, main language Python  
 <sub><sup>async, asyncio, fastapi, fastapi-users, python, starlette, users</sup></sub>
 
 
-### [Astra](https://github.com/flipkart-incubator/astra) by [flipkart-incubator](https://github.com/flipkart-incubator)  
-Astra: Automated Security Testing For REST API's  
-[https://github.com/flipkart-incubator/astra](https://github.com/flipkart-incubator/astra)  
-8.3 stars per week over 256 weeks  
-2,126 stars, 356 forks, 84 watches  
-created 2018-01-10, last commit 2019-04-05, main language Python  
-<sub><sup>ci-cd, owasp, penetration-testing, penetration-testing-framework, postman-collection, python, restapiautomation, sdlc, security, security-automation</sup></sub>
-
-
 ### [flask-restx](https://github.com/python-restx/flask-restx) by [python-restx](https://github.com/python-restx)  
 flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask  
 [https://flask-restx.readthedocs.io/en/latest/](https://flask-restx.readthedocs.io/en/latest/)  
 [https://github.com/python-restx/flask-restx](https://github.com/python-restx/flask-restx)  
-11 stars per week over 151 weeks  
-1,682 stars, 283 forks, 64 watches  
-created 2020-01-09, last commit 2022-11-02, main language Python  
+10 stars per week over 164 weeks  
+1,762 stars, 294 forks, 70 watches  
+created 2020-01-09, last commit 2023-03-04, main language Python  
 <sub><sup>api, flask, json, python, rest, restful, restplus, restx, swagger</sup></sub>
 
 
+### [bottle](https://github.com/bottlepy/bottle) by [bottlepy](https://github.com/bottlepy)  
+bottle.py is a fast and simple micro-framework for python web-applications.  
+[http://bottlepy.org/](http://bottlepy.org/)  
+[https://github.com/bottlepy/bottle](https://github.com/bottlepy/bottle)  
+11 stars per week over 713 weeks  
+7,910 stars, 1,446 forks, 312 watches  
+created 2009-06-30, last commit 2022-09-05, main language Python  
+<sub><sup>bottle, python, rest, web-framework, wsgi</sup></sub>
+
+
+### [websocket-client](https://github.com/websocket-client/websocket-client)  
+websocket-client: WebSocket client for Python  
+[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
+[https://github.com/websocket-client/websocket-client](https://github.com/websocket-client/websocket-client)  
+4.99 stars per week over 635 weeks  
+3,173 stars, 732 forks, 90 watches  
+created 2010-12-28, last commit 2023-03-01, main language Python  
+<sub><sup>python, rfc-6455, websocket, websocket-client, websockets, websockets-client</sup></sub>
+
+
+### [eve](https://github.com/pyeve/eve) by [pyeve](https://github.com/pyeve)  
+eve: REST API framework designed for human beings  
+[https://python-eve.org](https://python-eve.org)  
+[https://github.com/pyeve/eve](https://github.com/pyeve/eve)  
+12 stars per week over 540 weeks  
+6,586 stars, 754 forks, 229 watches  
+created 2012-10-22, last commit 2022-11-10, main language Python  
+<sub><sup>flask, mongodb, python, rest</sup></sub>
+
+
+### [uwsgi](https://github.com/unbit/uwsgi) by [unbit](https://github.com/unbit)  
+uWSGI application server container  
+[http://projects.unbit.it/uwsgi](http://projects.unbit.it/uwsgi)  
+[https://github.com/unbit/uwsgi](https://github.com/unbit/uwsgi)  
+5.48 stars per week over 595 weeks  
+3,261 stars, 671 forks, 113 watches  
+created 2011-10-09, last commit 2023-01-10, main language C  
+
+
 ### [quart](https://github.com/pallets/quart) by [pallets](https://github.com/pallets)  
 quart: An async Python micro framework for building web applications.   
 [https://quart.palletsprojects.com](https://quart.palletsprojects.com)  
 [https://github.com/pallets/quart](https://github.com/pallets/quart)  
-5.66 stars per week over 264 weeks  
-1,497 stars, 88 forks, 25 watches  
-created 2017-11-10, last commit 2022-11-14, main language Python  
+5.94 stars per week over 277 weeks  
+1,646 stars, 100 forks, 26 watches  
+created 2017-11-10, last commit 2023-02-12, main language Python  
 <sub><sup>asgi, asyncio, http-server, python, quart</sup></sub>
 
 
-### [starlite](https://github.com/starlite-api/starlite) by [starlite-api](https://github.com/starlite-api)  
-starlite: Light, Flexible and Extensible ASGI API framework  
-[https://starlite-api.github.io/starlite/](https://starlite-api.github.io/starlite/)  
-[https://github.com/starlite-api/starlite](https://github.com/starlite-api/starlite)  
-28 stars per week over 52 weeks  
-1,469 stars, 130 forks, 22 watches  
-created 2021-12-06, last commit 2022-12-06, main language Python  
-<sub><sup>api, asgi, json, mypy, openapi, pydantic, python, redoc, rest, starlette, types</sup></sub>
+### [FastAPI-template](https://github.com/s3rius/fastapi-template) by [s3rius](https://github.com/s3rius)  
+FastAPI-template: Feature rich robust FastAPI template.  
+[https://github.com/s3rius/fastapi-template](https://github.com/s3rius/fastapi-template)  
+5.33 stars per week over 125 weeks  
+671 stars, 69 forks, 13 watches  
+created 2020-10-05, last commit 2023-02-05, main language Python  
+<sub><sup>aerich, alembic, asynchronous, asyncio, cookiecutter, cookiecutter-python3, cookiecutter-template, fastapi, fastapi-boilerplate, fastapi-template, graphql, opentelemetry, ormar, prometheus, python3, sentry, sqlalchemy-orm, strawberry-graphql, tortoise-orm</sup></sub>
+
+
+### [py-shiny](https://github.com/rstudio/py-shiny) by [rstudio](https://github.com/rstudio)  
+py-shiny: Shiny for Python  
+[https://shiny.rstudio.com/py/](https://shiny.rstudio.com/py/)  
+[https://github.com/rstudio/py-shiny](https://github.com/rstudio/py-shiny)  
+4.05 stars per week over 83 weeks  
+339 stars, 20 forks, 23 watches  
+created 2021-07-27, last commit 2023-03-04, main language JavaScript  
+
+
+### [fastapi-crudrouter](https://github.com/awtkns/fastapi-crudrouter) by [awtkns](https://github.com/awtkns)  
+fastapi-crudrouter: A dynamic FastAPI router that automatically creates CRUD routes for your models  
+[https://fastapi-crudrouter.awtkns.com](https://fastapi-crudrouter.awtkns.com)  
+[https://github.com/awtkns/fastapi-crudrouter](https://github.com/awtkns/fastapi-crudrouter)  
+8.95 stars per week over 115 weeks  
+1,030 stars, 122 forks, 12 watches  
+created 2020-12-19, last commit 2023-01-28, main language Python  
+<sub><sup>api, async, asyncio, code-generation, crud, crud-routes, fastapi, fastapi-crudrouter, framework, openapi, openapi-route, python, python3, redoc, rest, sql, swagger-ui, web</sup></sub>
+
+
+### [BlackSheep](https://github.com/neoteroi/blacksheep) by [neoteroi](https://github.com/neoteroi)  
+BlackSheep: Fast ASGI web framework for Python  
+[https://www.neoteroi.dev/blacksheep/](https://www.neoteroi.dev/blacksheep/)  
+[https://github.com/neoteroi/blacksheep](https://github.com/neoteroi/blacksheep)  
+5.29 stars per week over 223 weeks  
+1,182 stars, 52 forks, 23 watches  
+created 2018-11-22, last commit 2023-02-17, main language Python  
+<sub><sup>asgi, asyncio, blacksheep, framework, http, http-server, python, server, web</sup></sub>
 
 
 ### [mangum](https://github.com/jordaneremieff/mangum) by [jordaneremieff](https://github.com/jordaneremieff)  
 mangum: AWS Lambda support for ASGI applications  
 [https://mangum.io/](https://mangum.io/)  
 [https://github.com/jordaneremieff/mangum](https://github.com/jordaneremieff/mangum)  
-5.55 stars per week over 203 weeks  
-1,128 stars, 78 forks, 15 watches  
+5.67 stars per week over 215 weeks  
+1,224 stars, 80 forks, 16 watches  
 created 2019-01-14, last commit 2022-11-27, main language Python  
 <sub><sup>api-gateway, asgi, asyncio, aws, aws-lambda, django, fastapi, lambda, python, python3, quart, sanic, serverless, starlette</sup></sub>
 
 
-### [BlackSheep](https://github.com/neoteroi/blacksheep) by [neoteroi](https://github.com/neoteroi)  
-BlackSheep: Fast ASGI web framework for Python  
-[https://www.neoteroi.dev/blacksheep/](https://www.neoteroi.dev/blacksheep/)  
-[https://github.com/neoteroi/blacksheep](https://github.com/neoteroi/blacksheep)  
-5.19 stars per week over 210 weeks  
-1,095 stars, 49 forks, 24 watches  
-created 2018-11-22, last commit 2022-11-20, main language Python  
-<sub><sup>asgi, asyncio, blacksheep, framework, http, http-server, python, rest, server, web</sup></sub>
+### [fastapi-cache](https://github.com/long2ice/fastapi-cache) by [long2ice](https://github.com/long2ice)  
+fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.  
+[https://github.com/long2ice/fastapi-cache](https://github.com/long2ice/fastapi-cache)  
+[https://github.com/long2ice/fastapi-cache](https://github.com/long2ice/fastapi-cache)  
+4.62 stars per week over 131 weeks  
+608 stars, 90 forks, 9 watches  
+created 2020-08-25, last commit 2023-02-15, main language Python  
+<sub><sup>cache, fastapi, memcached, redis</sup></sub>
 
 
-### [httptools](https://github.com/magicstack/httptools) by [magicstack](https://github.com/magicstack)  
-httptools: Fast HTTP parser  
-[https://github.com/magicstack/httptools](https://github.com/magicstack/httptools)  
-3.13 stars per week over 345 weeks  
-1,081 stars, 69 forks, 40 watches  
-created 2016-04-25, last commit 2022-09-13, main language Python  
+### [fastapi-code-generator](https://github.com/koxudaxi/fastapi-code-generator) by [koxudaxi](https://github.com/koxudaxi)  
+fastapi-code-generator: This code generator creates FastAPI app from an openapi file.  
+[https://github.com/koxudaxi/fastapi-code-generator](https://github.com/koxudaxi/fastapi-code-generator)  
+4.71 stars per week over 142 weeks  
+669 stars, 75 forks, 15 watches  
+created 2020-06-14, last commit 2023-02-15, main language Python  
+<sub><sup>fastapi, generator, openapi, pydantic, python</sup></sub>
+
+
+### [FastAPI-Backend-Template](https://github.com/aeternalis-ingenium/fastapi-backend-template) by [aeternalis-ingenium](https://github.com/aeternalis-ingenium)  
+FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.  
+[https://github.com/aeternalis-ingenium/fastapi-backend-template](https://github.com/aeternalis-ingenium/fastapi-backend-template)  
+22 stars per week over 12 weeks  
+289 stars, 49 forks, 10 watches  
+created 2022-12-05, last commit 2023-02-05, main language Python  
+<sub><sup>alembic, asynchronous, asyncpg, codecov, coverage, docker, docker-compose, fastapi, githubactions, jwt, postgresql, pre-commit, pytest, python, sqlalchemy</sup></sub>
+
+
+### [Astra](https://github.com/flipkart-incubator/astra) by [flipkart-incubator](https://github.com/flipkart-incubator)  
+Astra: Automated Security Testing For REST API's  
+[https://github.com/flipkart-incubator/astra](https://github.com/flipkart-incubator/astra)  
+8.13 stars per week over 268 weeks  
+2,184 stars, 361 forks, 85 watches  
+created 2018-01-10, last commit 2023-02-16, main language Python  
+<sub><sup>ci-cd, owasp, penetration-testing, penetration-testing-framework, postman-collection, python, restapiautomation, sdlc, security, security-automation</sup></sub>
 
 
 ### [emmett](https://github.com/emmett-framework/emmett) by [emmett-framework](https://github.com/emmett-framework)  
 emmett: The web framework for inventors  
 [https://github.com/emmett-framework/emmett](https://github.com/emmett-framework/emmett)  
-1.87 stars per week over 424 weeks  
-792 stars, 63 forks, 29 watches  
-created 2014-10-20, last commit 2022-11-24, main language Python  
+1.9 stars per week over 436 weeks  
+829 stars, 62 forks, 31 watches  
+created 2014-10-20, last commit 2023-01-30, main language Python  
 <sub><sup>asgi, asyncio, emmett, python, web-framework</sup></sub>
 
 
+### [hstream](https://github.com/conradbez/hstream) by [conradbez](https://github.com/conradbez)  
+hstream: Hyper Stream  
+[https://github.com/conradbez/hstream](https://github.com/conradbez/hstream)  
+15 stars per week over 17 weeks  
+267 stars, 11 forks, 6 watches  
+created 2022-11-03, last commit 2023-02-10, main language Python  
+
+
 ### [muffin](https://github.com/klen/muffin) by [klen](https://github.com/klen)  
 Muffin is a fast, simple and asyncronous web-framework for Python 3  
 [https://github.com/klen/muffin](https://github.com/klen/muffin)  
-1.52 stars per week over 409 weeks  
-621 stars, 25 forks, 31 watches  
-created 2015-02-03, last commit 2022-08-12, main language Python  
+1.48 stars per week over 421 weeks  
+625 stars, 25 forks, 31 watches  
+created 2015-02-03, last commit 2023-03-04, main language Python  
 <sub><sup>asgi, asyncio, curio, muffin, python, trio, webframework</sup></sub>
 
 
-### [FastAPI-template](https://github.com/s3rius/fastapi-template) by [s3rius](https://github.com/s3rius)  
-FastAPI-template: Feature rich robust FastAPI template.  
-[https://github.com/s3rius/fastapi-template](https://github.com/s3rius/fastapi-template)  
-4.87 stars per week over 113 weeks  
-552 stars, 47 forks, 9 watches  
-created 2020-10-05, last commit 2022-11-04, main language Python  
-<sub><sup>aerich, alembic, asynchronous, asyncio, cookiecutter, cookiecutter-python3, cookiecutter-template, fastapi, fastapi-boilerplate, fastapi-template, graphql, hacktoberfest, opentelemetry, ormar, prometheus, python3, sentry, sqlalchemy-orm, strawberry-graphql, tortoise-orm</sup></sub>
-
-
-### [py-shiny](https://github.com/rstudio/py-shiny) by [rstudio](https://github.com/rstudio)  
-py-shiny: Shiny for Python  
-[https://shiny.rstudio.com/py/](https://shiny.rstudio.com/py/)  
-[https://github.com/rstudio/py-shiny](https://github.com/rstudio/py-shiny)  
-3.81 stars per week over 71 weeks  
-271 stars, 14 forks, 18 watches  
-created 2021-07-27, last commit 2022-11-06, main language JavaScript  
+### [fastapi-boilerplate](https://github.com/rawheel/fastapi-boilerplate) by [rawheel](https://github.com/rawheel)  
+fastapi-boilerplate: Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀   
+[https://github.com/rawheel/fastapi-boilerplate](https://github.com/rawheel/fastapi-boilerplate)  
+11 stars per week over 9 weeks  
+110 stars, 10 forks, 1 watches  
+created 2022-12-28, last commit 2023-01-07, main language Python  
+<sub><sup>alembic, boilerplate, docker, docker-compose, fastapi, fastapi-boilerplate, fastapi-sqlalchemy, orm, poetry-python, postgresql, pydantic, python3, sqlalchemy, sqlalchemy-orm</sup></sub>
 
 
-### [hstream](https://github.com/conradbez/hstream) by [conradbez](https://github.com/conradbez)  
-hstream: Hyper Stream  
-[https://github.com/conradbez/hstream](https://github.com/conradbez/hstream)  
-54 stars per week over 4 weeks  
-264 stars, 11 forks, 6 watches  
-created 2022-11-03, last commit 2022-11-24, main language Python  
+### [httptools](https://github.com/magicstack/httptools) by [magicstack](https://github.com/magicstack)  
+httptools: Fast HTTP parser  
+[https://github.com/magicstack/httptools](https://github.com/magicstack/httptools)  
+3.05 stars per week over 357 weeks  
+1,092 stars, 71 forks, 40 watches  
+created 2016-04-25, last commit 2022-09-13, main language Python  
 
 
-### [fastai-serving](https://github.com/developmentseed/fastai-serving) by [developmentseed](https://github.com/developmentseed)  
-fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving  
-[https://github.com/developmentseed/fastai-serving](https://github.com/developmentseed/fastai-serving)  
-0.67 stars per week over 179 weeks  
-121 stars, 11 forks, 8 watches  
-created 2019-07-01, last commit 2020-02-10, main language Python  
-<sub><sup>deep-learning, docker, machine-learning, python, pytorch</sup></sub>
+### [fastapi_client](https://github.com/dmontagu/fastapi_client) by [dmontagu](https://github.com/dmontagu)  
+fastapi_client: FastAPI client generator  
+[https://github.com/dmontagu/fastapi_client](https://github.com/dmontagu/fastapi_client)  
+1.58 stars per week over 187 weeks  
+296 stars, 39 forks, 8 watches  
+created 2019-08-03, last commit 2021-02-11, main language Python  
 
 
-This file was automatically generated on 2022-12-07.  
+This file was automatically generated on 2023-03-05.  
 
 To curate your own github list, simply clone and change the input csv file.  
 
diff --git a/github_data.csv b/github_data.csv
index 245daed..9d6d088 100644
--- a/github_data.csv
+++ b/github_data.csv
@@ -1,984 +1,1042 @@
-,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_language,_homepage,_description,_organization,_updated_at,_created_at,_age_weeks,_stars_per_week,_topics,_last_commit_date,_pop_contributor_count,_pop_contributor_logins,_pop_contributor_orgs_len,_pop_contributor_orgs_max,_pop_contributor_orgs,_pop_contributor_orgs_raw,_pop_contributor_orgs_error,_pop_commit_frequency,_pop_updated_issues_count,_pop_closed_issues_count,_pop_created_since_days,_pop_updated_since_days,_pop_recent_releases_count,_pop_recent_releases_estimated_tags,_pop_recent_releases_adjusted_count,_pop_issue_count,_pop_comment_count,_pop_comment_count_lookback_days,_pop_comment_frequency,_pop_dependents_count,_pop_score
-89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,171400,87832,7764,C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2023-02-21,2015-11-07,380,450.37537537537537,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",2023-02-21,4275,"['benoitsteiner', 'caisq@google', 'gunan@googletensorflow', 'hawkinsp@google', 'mihaimaruseac@google', 'mrry', 'roserg', 'tensorflower-gardener', 'vrv@carnegiemellonuniversity', 'yongtang']",3,10,"['carnegiemellonuniversity', 'google', 'googletensorflow']","['@google @tensorflow ', 'Carnegie Mellon University', 'Google']",,321.21,2254,1372,89,0,27,26,27,2255.0,6541.0,90.0,2.9,0,72.75049
-405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,153358,39092,5962,Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2023-02-21,2016-07-16,344,445.0688225538972,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",2023-02-21,978,"['AnupKumarPanwar@thealgorithmsgojek', 'MaximSmolskiy', 'SandersLin', 'cclauss@christianclauss', 'christianbender', 'daniel-s-ingram@torcrobotics', 'dhruvmanila', 'duyuanch@thealgorithms', 'dynamitechetan@fossasiagojekthealgorithms', 'harshildarji@universitätpassau']",6,10,"['christianclauss', 'fossasiagojekthealgorithms', 'thealgorithms', 'thealgorithmsgojek', 'torcrobotics', 'universitätpassau']","['@TheAlgorithms', '@TheAlgorithms @Gojek', '@fossasia @gojek @thealgorithms', 'Christian Clauss', 'Torc Robotics', 'Universität Passau']",,6.52,169,110,80,0,0,0,0,169.0,169.0,90.0,1.0,0,52.52774
-112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,81769,18127,899,Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2023-02-21,2018-10-29,225,362.9568801521877,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",2023-02-21,1746,"['LysandreJik@huggingface', 'Narsil@huggingface', 'julien-c@huggingface', 'patil-suraj@huggingface', 'patrickvonplaten', 'sgugger', 'sshleifer@facebookresearch', 'stas00@stasosphereonline/huggingface', 'thomwolf@huggingface', 'ydshieh']",3,10,"['facebookresearch', 'huggingface', 'stasosphereonline/huggingface']","['@facebookresearch', '@huggingface ', 'Hugging Face', 'Huggingface', 'Stasosphere Online Inc. / HuggingFace Inc.']",,56.77,1870,1554,53,0,22,27,22,1870.0,5676.0,90.0,3.0,0,65.87611
-14,web,https://github.com/django/django,,,,django/django,django,68891,28667,2266,Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2023-02-21,2012-04-28,564,122.02353238866397,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",2023-02-21,2880,"['aaugustin@qonto', 'adrianholovaty', 'charettes@zapier', 'claudep@2xlibre.netsàrl', 'felixxm@django', 'freakboy3742', 'jacobian@latacora', 'jezdez@anaconda', 'malcolmt', 'timgraham']",6,10,"['2xlibre.netsàrl', 'anaconda', 'django', 'latacora', 'qonto', 'zapier']","['2xlibre.net Sàrl', '@anaconda', '@django', '@qonto', '@zapier', 'Latacora']",,18.23,339,292,132,0,0,34,34,339.0,723.0,90.0,2.1,0,66.98389
-76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,62941,17471,1637,C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2023-02-21,2016-08-13,340,184.8099832214765,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",2023-02-21,3855,"['apaszke@google', 'ezyang', 'gchanan', 'jerryzh168@facebook', 'malfet', 'pytorchmergebot', 'soumith@facebookairesearch', 'suo', 'zdevito', 'zou3519']",3,10,"['facebook', 'facebookairesearch', 'google']","['@facebook', '@google', 'Facebook AI Research']",,224.5,7890,5476,79,0,5,110,5,7886.0,36088.0,22.0,4.6,0,71.86173
-57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,61974,15472,2145,Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2023-02-21,2010-04-06,672,92.20361317747077,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",2023-02-16,808,"['DasIch@zalandose', 'davidism', 'dependabot-preview[bot]', 'greyli', 'kennethreitz', 'keyan@stripe', 'mitsuhiko@sentry', 'pgjones', 'rduplain', 'untitaker@getsentry']",4,10,"['getsentry', 'sentry', 'stripe', 'zalandose']","['@getsentry ', 'Sentry', 'Zalando SE', 'stripe']",,4.15,126,123,157,0,8,4,8,126.0,130.0,90.0,1.0,0,54.48656
-189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,58219,22051,1348,Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2023-02-21,2013-09-17,492,118.29695210449927,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",2023-02-21,3559,"['Kane610', 'bachya', 'balloob@home-assistant,nabucasa', 'bdraco', 'cdce8p', 'emontnemery', 'epenet', 'fabaff', 'frenck@home-assistanthassio-addons', 'pvizeli@nabucasa']",3,10,"['home-assistant,nabucasa', 'home-assistanthassio-addons', 'nabucasa']","['@NabuCasa', '@home-assistant @hassio-addons', '@home-assistant, @nabucasa']",,233.4,8972,6338,115,0,181,113,181,8971.0,28860.0,22.0,3.2,0,74.08225
-40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,57357,19295,1927,Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2023-02-21,2015-03-28,412,139.02319944598338,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",2023-02-18,1161,"['chenmoneygithub', 'farizrahman4u', 'fchollet', 'gabrieldemarmiesse@preligens', 'haifeng-jin@keras-teamtensorflowgooglers', 'mattdangerw@google', 'ozabluda', 'qlzh727@google', 'taehoonlee@sktelecom', 'tensorflower-gardener']",4,10,"['google', 'keras-teamtensorflowgooglers', 'preligens', 'sktelecom']","['@keras-team @tensorflow @googlers', 'Google', 'Preligens', 'SK Telecom']",,19.67,463,323,96,0,10,9,10,463.0,1009.0,90.0,2.2,0,61.22163
-135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,54734,4530,619,Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2023-02-21,2018-12-08,219,249.2765126870527,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",2023-02-21,415,"['Kludex@encode', 'dependabot[bot]', 'dmontagu@formlogic', 'euri10', 'github-actions[bot]', 'jaystone776', 'mariacamilagl', 'tiangolo', 'tokusumi', 'waynerv']",2,10,"['encode', 'formlogic']","['@encode', 'Formlogic']",,13.67,918,491,51,0,27,35,27,918.0,1925.0,90.0,2.1,0,55.99277
-78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,53008,23961,2159,Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2023-02-21,2010-08-17,653,81.1583552055993,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",2023-02-20,2858,"['agramfort@meta', 'amueller@microsoft', 'glouppe@uliège', 'jnothman@canva', 'larsmans', 'mblondel@googleresearch,brainteam', 'ogrisel@inria', 'pprett', 'thomasjpfan@quansight-labs', 'vene@uvalanguagetechnologylabltl-uva']",8,10,"['canva', 'googleresearch,brainteam', 'inria', 'meta', 'microsoft', 'quansight-labs', 'uliège', 'uvalanguagetechnologylabltl-uva']","['@Quansight-Labs ', 'Canva', 'Google Research, Brain team', 'Inria', 'Meta', 'Microsoft', 'ULiège', 'UvA Language Technology Lab @ltl-uva']",,30.67,965,631,152,0,6,10,6,965.0,2270.0,90.0,2.4,0,68.27998
-399,util,https://github.com/python/cpython,,,,python/cpython,cpython,50776,25865,1472,Python,https://www.python.org/,cpython: The Python programming language,python,2023-02-21,2017-02-10,314,161.33999092147073,[],2023-02-21,2374,"['benjaminp', 'birkenfeld@fzjülich', 'freddrake@keepertech', 'gvanrossum@microsoft', 'jackjansen@centrumvoorwiskundeeninformatica', 'loewis', 'pitrou', 'rhettinger@mutableminds', 'serhiy-storchaka@neu.ro', 'vstinner@redhatofficial']",7,10,"['centrumvoorwiskundeeninformatica', 'fzjülich', 'keepertech', 'microsoft', 'mutableminds', 'neu.ro', 'redhatofficial']","['@RedHatOfficial', '@keepertech ', 'Centrum voor Wiskunde en Informatica', 'FZ Jülich', 'Microsoft', 'Mutable Minds, Inc.', 'Neu.ro']",,66.17,3850,2536,73,0,0,89,89,3845.0,8805.0,90.0,2.3,0,71.46139
-177,web,https://github.com/psf/requests,,,,psf/requests,requests,49080,8971,1354,Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2023-02-21,2011-02-13,627,78.22404371584699,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",2023-01-21,727,"['BraulioVM', 'Lukasa@apple', 'daftshady@marsauto', 'dpursehouse', 'jerem@newlogic', 'jgorset@schibsted', 'kennethreitz', 'nateprewitt@amazonwebservices', 'sigmavirus24@tableau&salesforce', 'slingamn']",6,10,"['amazonwebservices', 'apple', 'marsauto', 'newlogic', 'schibsted', 'tableau&salesforce']","['@marsauto ', '@newlogic', '@schibsted', '@tableau & @salesforce', 'Amazon Web Services', 'Apple']",,0.6,91,62,146,1,3,12,3,91.0,135.0,90.0,1.5,0,50.96412
-80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,46216,9865,1781,Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2023-02-21,2010-02-22,678,68.13647851727043,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest', 'web-scraping', 'web-scraping-python']",2023-02-14,587,"['Gallaecio@scrapinghub', 'curita@scrapinghub', 'dangra@superfly', 'elacuesta', 'eliasdorneles', 'kmike@zytedata,scrapinghub', 'pablohoffman@zytedata(formerlyscrapinghub)', 'redapple', 'void', 'wRAR@zyte']",5,10,"['scrapinghub', 'superfly', 'zyte', 'zytedata(formerlyscrapinghub)', 'zytedata,scrapinghub']","['@superfly ', '@zytedata (formerly @scrapinghub)', '@zytedata, @ScrapingHub', 'Scrapinghub', 'Zyte']",,6.21,199,140,158,0,9,9,9,199.0,368.0,90.0,1.8,0,57.09075
-695,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,43685,12120,1501,Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2023-02-21,2017-12-19,270,161.7107350608144,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",2023-02-21,95,"['Clorr', 'Ganonmaster@transip', 'andenixa', 'bryanlyon@arkavianinc', 'deepfakes', 'gdunstone', 'geewiz94', 'kilroythethird', 'kvrooman', 'torzdf']",2,10,"['arkavianinc', 'transip']","['@transip', 'Arkavian Inc']",,5.54,21,21,63,0,0,1,1,21.0,16.0,90.0,0.8,0,39.40007
-736,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,42441,6653,406,Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2023-02-21,2022-08-10,28,1515.75,[],2022-11-16,8,"['LuChengTHU', 'ablattmann', 'apolinario', 'cpacker@ucberkeley', 'owenvincent', 'patrickvonplaten', 'pesser@runwayml', 'rromb']",2,10,"['runwayml', 'ucberkeley']","['@runwayml ', 'UC Berkeley']",,0.33,201,38,6,3,0,0,0,201.0,293.0,90.0,1.5,0,23.4026
-179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,42127,1496,541,Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2023-02-21,2019-11-10,171,245.74083333333334,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",2023-02-19,207,"['althonos@embl,zellerlab', 'amartya-dev@ohurutech', 'darrenburns', 'davep@davep.org', 'dependabot[bot]', 'evantkchong', 'hedyhli', 'olivierphi@lastmileict', 'toto6038@nationaltaiwannormaluniversity', 'willmcgugan@textualize']",6,10,"['davep.org', 'embl,zellerlab', 'lastmileict', 'nationaltaiwannormaluniversity', 'ohurutech', 'textualize']","['@lastmileICT ', 'EMBL, @zellerlab', 'National Taiwan Normal University', 'Ohuru Tech', 'Textualize', 'davep.org']",,11.48,189,124,40,0,19,45,19,189.0,395.0,90.0,2.1,0,54.80614
-262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,39212,4648,978,Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2023-02-21,2018-12-24,217,180.46285338593032,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",2023-02-17,215,"['Czechball', 'SethFalco@kodify', 'TheYahya@paackeng', 'aristosgi@athensuniversityofbuisnessandeconomics', 'cclauss@christianclauss', 'hoadlck', 'irazasyed@lukonet', 'ptalmeida', 'roopeshvs', 'sdushantha']",5,10,"['athensuniversityofbuisnessandeconomics', 'christianclauss', 'kodify', 'lukonet', 'paackeng']","['@PaackEng', '@kodify', '@lukonet', 'Athens University Of Buisness And Economics', 'Christian Clauss']",,4.08,167,159,51,0,0,0,0,167.0,151.0,90.0,0.9,0,45.86808
-432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,37544,16546,1771,Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2023-02-21,2016-08-10,341,110.09970674486803,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",2018-11-30,17,"['aaronvanderlip', 'choldgraf@ucberkeley', 'fuglede@kvantify', 'habi@instituteofanatomy,unversityofbern,switzerland', 'henrystokeley', 'jackboot7@credijusto', 'jakevdp@google', 'namreg@softswiss', 'ncclementi@coiled', 'vfdev-5@quansight']",8,10,"['coiled', 'credijusto', 'google', 'instituteofanatomy,unversityofbern,switzerland', 'kvantify', 'quansight', 'softswiss', 'ucberkeley']","['@Quansight', '@coiled', '@credijusto ', 'Google', 'Institute of Anatomy, Unversity of Bern, Switzerland', 'Kvantify', 'SoftSwiss', 'UC Berkeley']",,0.0,10,2,80,51,0,0,0,10.0,7.0,90.0,0.7,0,24.51845
-694,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,37460,8390,1056,Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2023-02-21,2018-06-04,246,152.0997679814385,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",2022-12-31,21,"['Auroir', 'ChrisTopherTa54321', 'IMIYOU', 'MaksV79', 'NemirovD', 'TooMuchFun', 'andenixa', 'iperov', 'lbfs', 'sergeevii123']",0,10,[],[],,0.19,60,16,57,2,0,0,0,60.0,67.0,90.0,1.1,0,24.04501
-59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,36929,15788,1109,Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2023-02-21,2010-08-24,652,56.62716319824754,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",2023-02-21,3235,"['TomAugspurger@microsoft', 'cpcloud@voltrondata', 'gfyoung', 'jbrockmendel', 'jorisvandenbossche', 'jreback', 'mroeschke@rapidsai', 'phofl@d-finegmbh', 'simonjayhawkins', 'wesm@voltrondata']",4,10,"['d-finegmbh', 'microsoft', 'rapidsai', 'voltrondata']","['@microsoft', '@rapidsai ', '@voltrondata', 'd-fine GmbH']",,48.52,2484,1788,152,0,9,13,9,2481.0,5545.0,90.0,2.2,0,68.25003
-838,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,36902,6920,364,Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2023-02-21,2022-08-22,26,1403.8804347826087,[],2023-02-20,352,"['36DB', 'AUTOMATIC1111', 'C43H66N12O12S2', 'R-N', 'brkirch', 'd8ahazard', 'dfaker', 'dtlnor', 'mezotaken', 'yfszzx']",0,10,[],[],,55.06,2991,1776,6,0,1,2,1,2991.0,9276.0,90.0,3.1,0,45.75582
-64,util,https://github.com/psf/black,,,,psf/black,black,31408,2026,229,Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2023-02-21,2018-03-14,258,121.73643410852713,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",2023-02-14,360,"['JelleZijlstra@quora', 'ambv@psf', 'cooperlees@clc', 'dependabot[bot]', 'felix-hilden', 'hugovk@nordsoftware', 'ichard26', 'isidentical@fal-ai', 'yilei', 'zsol@facebook']",6,10,"['clc', 'facebook', 'fal-ai', 'nordsoftware', 'psf', 'quora']","['@facebook ', '@fal-ai', '@psf', '@quora ', 'CLC', 'Nord Software']",,4.63,309,178,60,0,7,9,7,309.0,589.0,90.0,1.9,0,54.61606
-220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,30674,2712,384,Roff,,pyenv: Simple Python version management,pyenv,2023-02-21,2012-08-31,546,56.106088319832764,"['python', 'shell']",2023-02-15,410,"['Samureus@meluria', 'anton-petrov', 'blueyed@freelancer,upforhire', 'cclauss@christianclauss', 'josh', 'joshfriend@squareup', 'mislav', 'native-api', 'sstephenson', 'yyuu@treasuredata']",5,10,"['christianclauss', 'freelancer,upforhire', 'meluria', 'squareup', 'treasuredata']","['@squareup ', 'Christian Clauss', 'Freelancer, up for hire', 'Meluria', 'Treasure Data Inc.']",,4.0,137,124,128,0,15,13,15,137.0,286.0,90.0,2.1,0,56.40938
-55,sim,https://github.com/openai/gym,,,,openai/gym,gym,30067,8235,1013,Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2023-02-21,2016-04-27,356,84.45786516853933,[],2023-01-30,384,"['christopherhesse@openai', 'gdb', 'jietang', 'jkterry1', 'jonasschneider', 'joschu', 'pseudo-rnd-thoughts', 'pzhokhov', 'tlbtlbtlb@umbrellaresearch', 'zuoxingdong@navercorp']",3,10,"['navercorp', 'openai', 'umbrellaresearch']","['NAVER Corp', 'OpenAI', 'Umbrella Research']",,4.52,47,27,83,1,10,8,10,47.0,150.0,90.0,3.2,0,50.66956
-963,security,https://github.com/certbot/certbot,,,,certbot/certbot,certbot,29653,3324,763,Python,,Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.,certbot,2023-02-21,2014-11-12,432,68.64120370370371,"['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt', 'python']",2023-02-16,508,"['SwartzCr', 'adferrand@amadeusitgroupefforgecomundo-eu', 'alexzorin', 'bmw@electronicfrontierfoundation', 'jdkasten@google', 'joohoi', 'jsha', 'kuba', 'ohemorange', 'pde@efforg']",4,10,"['amadeusitgroupefforgecomundo-eu', 'efforg', 'electronicfrontierfoundation', 'google']","['@AmadeusITGroup @EFForg @EcoMundo-EU', '@EFForg ', 'Electronic Frontier Foundation', 'Google']",,4.75,181,120,101,0,14,15,14,181.0,281.0,90.0,1.6,0,55.23174
-118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,29215,11960,761,Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2023-02-21,2015-04-13,410,71.20647632311977,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",2023-02-21,2732,"['ashb@astronomer.io', 'bolkedebruin', 'ephraimbuddy@astronomerio', 'jedcunningham@astronomer', 'jlowin@prefecthq', 'kaxil@astronomer', 'mik-laj@snowflakedb', 'mistercrunch@preset-io', 'potiuk@apachesoftwarefoundation', 'turbaszek@snowflakedb']",7,10,"['apachesoftwarefoundation', 'astronomer', 'astronomer.io', 'astronomerio', 'prefecthq', 'preset-io', 'snowflakedb']","['@PrefectHQ ', '@Snowflakedb', '@astronomer', '@astronomer ', 'Apache Software Foundation', 'Astronomer.io', 'Astronomerio', 'preset-io']",,69.88,2140,1680,96,0,17,352,17,2141.0,5002.0,90.0,2.3,0,71.19137
-592,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27871,1711,347,Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2023-02-21,2020-02-02,159,174.81810035842295,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",2023-01-13,127,"['Slach@altinity', 'bdsoha@kloudkit', 'dependabot[bot]', 'gabriel-tessier@luxeys', 'guyzyl', 'hagaishapira@torqio', 'leandrodamascena@aws', 'mingrammer@daangn', 'nlamirault@swan', 'yu-iskw']",7,10,"['altinity', 'aws', 'daangn', 'kloudkit', 'luxeys', 'swan', 'torqio']","['@aws', '@daangn ', '@torqio', 'Altinity', 'KloudKIT', 'Luxeys', 'Swan']",,1.25,91,40,37,1,4,13,4,91.0,82.0,90.0,0.9,0,43.49369
-257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,27328,6698,940,JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2023-02-21,2017-05-14,301,90.66161137440758,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",2023-02-21,723,"['Dan-krm', 'carlosmiei', 'frosty00@ccxt', 'kroitor@ccxt', 'mkutny', 'ndubel', 'npomfret', 'samgermain@ccxt', 'sc0Vu', 'ttodua']",1,10,['ccxt'],"['@ccxt', 'CCXT']",,202.52,1460,1142,70,0,0,89,89,1460.0,2188.0,90.0,1.5,0,60.7662
-245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,26636,4095,393,Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2023-02-21,2021-03-19,100,264.4709219858156,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",2022-09-16,11,"['AK391@huggingface', 'Wscats@tencent', 'amckenna41', 'bramton', 'chenxwh', 'darbazali@gatewayict', 'mdanish-kh@xflowresearch', 'mostafavtp', 'tuhins', 'xinntao@tencent']",4,10,"['gatewayict', 'huggingface', 'tencent', 'xflowresearch']","['@Tencent ', 'Gateway ICT', 'Huggingface', 'Tencent', 'xFlow Research Inc.']",,0.44,43,10,23,5,3,8,3,43.0,56.0,90.0,1.3,0,29.06059
-677,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25535,5488,960,Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2023-02-21,2017-10-05,280,90.91810783316379,[],2021-03-27,40,"['Juggernaut93', 'KaimingHe@facebook', 'ashwinb', 'bddppq', 'ir413@ucberkeley', 'newstzpz', 'rbgirshick@ucberkeley', 'seanbell@grokstyle', 'shenyunhang', 'smessmer']",3,10,"['facebook', 'grokstyle', 'ucberkeley']","['Facebook', 'GrokStyle Inc.', 'UC Berkeley']",,0.02,12,1,66,0,0,0,0,12.0,4.0,90.0,0.3,0,30.77211
-17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,25292,4027,547,Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2023-02-21,2014-07-03,450,56.09759188846641,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",2023-02-16,715,"['adrianeboyd', 'geovedi', 'github-actions[bot]', 'henningpeters', 'honnibal@founderexplosion', 'ines@founderexplosion', 'jimregan', 'polm@cotonoha', 'svlandeg@explosion&oxykodit', 'syllog1sm@founderexplosion']",3,10,"['cotonoha', 'explosion&oxykodit', 'founderexplosion']","['Cotonoha', 'Explosion & OxyKodit', 'Founder @explosion', 'Founder @explosion ']",,8.62,351,304,105,0,19,16,19,351.0,579.0,90.0,1.6,0,57.65784
-917,ml-ops,https://github.com/ray-project/ray,,,,ray-project/ray,ray,24206,4209,441,Python,https://ray.io,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.,ray-project,2023-02-21,2016-10-25,330,73.31977498918218,"['ray', 'distributed', 'parallel', 'machine-learning', 'reinforcement-learning', 'deep-learning', 'python', 'rllib', 'hyperparameter-search', 'optimization', 'data-science', 'automl', 'hyperparameter-optimization', 'model-selection', 'java', 'serving', 'deployment', 'pytorch', 'tensorflow']",2023-02-21,818,"['edoakes@universityofcalifornia,berkeley', 'ericl@anyscale', 'krfricke', 'pcmoritz@anyscale', 'richardliaw@anyscale', 'rkooo567@anyscale,softwareengineer', 'robertnishihara@anyscale', 'simon-mo', 'stephanie-wang', 'sven1977@anyscale.com']",4,10,"['anyscale', 'anyscale,softwareengineer', 'anyscale.com', 'universityofcalifornia,berkeley']","['@anyscale', 'Anyscale', 'Anyscale, Software Engineer', 'University of California, Berkeley', 'anyscale.com']",,86.58,3479,2185,77,0,9,11,9,3481.0,5325.0,90.0,1.5,0,63.67163
-501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,24146,11653,631,Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2023-02-21,2019-01-08,215,112.2324037184595,[],2023-02-04,75,"['ChrisQlasty', 'ageron', 'alexdombos', 'gsundeep-tech', 'ibeauregard', 'mbreemhaar@verifai', 'nbgraham', 'pizzaz93', 'rickiepark', 'ziembla']",1,10,['verifai'],['Verifai'],,0.15,10,5,50,1,0,0,0,11.0,14.0,90.0,1.3,0,29.97508
-163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,24051,1222,208,Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2023-02-21,2015-06-03,403,59.67990074441688,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",2022-09-03,112,"['altendky', 'casperdcl', 'hadim@valence', 'kmike@zytedata,scrapinghub', 'lrq3000@giga-consciousness-comasciencegroup-university&hospitalofliège', 'mbargull', 'nishnash54@flockfreight', 'noamraph', 'obiwanus', 'richardsheridan']",4,10,"['flockfreight', 'giga-consciousness-comasciencegroup-university&hospitalofliège', 'valence', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Flock Freight', 'GIGA-Consciousness - Coma Science Group - University & Hospital of Liège', 'Valence']",,0.48,56,9,94,6,5,20,5,55.0,41.0,90.0,0.7,0,37.85303
-26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,23949,1364,383,Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2023-02-21,2017-02-21,313,76.4794708029197,"['python', 'cli']",2023-02-13,59,"['MichaelCG8', 'dbieber@googlebrain', 'hugovk@nordsoftware', 'jacobaustin123@google', 'jaredtrog', 'jgarst', 'joejoevictor@google', 'jtratner', 'rchen152', 'saurabhkpatel@syracuseuniversity']",4,10,"['google', 'googlebrain', 'nordsoftware', 'syracuseuniversity']","['Google', 'Google Brain', 'Nord Software', 'Syracuse University']",,0.52,54,35,73,0,1,2,1,54.0,77.0,90.0,1.4,0,40.67284
-103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23781,8545,926,C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2023-02-21,2014-02-06,471,50.39872842870118,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",2023-02-17,593,"['CodingCat@safegraph', 'RAMitchell@nvidia', 'hcho3@nvidia', 'hetong007@amazonai', 'khotilov@cerner', 'pommedeterresautee@els-rdlefebvresarrut', 'rongou@nvidia', 'terrytangyuan@akuity', 'tqchen@cmu,octoml', 'trivialfis@nvidia']",7,10,"['akuity', 'amazonai', 'cerner', 'cmu,octoml', 'els-rdlefebvresarrut', 'nvidia', 'safegraph']","['@ELS-RD Lefebvre Sarrut', '@NVIDIA', '@akuity', 'Amazon AI', 'CMU, OctoML', 'Cerner', 'NVIDIA', 'Nvidia', 'SafeGraph']",,10.02,418,345,110,0,10,5,10,418.0,626.0,90.0,1.5,0,59.86101
-646,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,23738,1906,184,Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2023-02-21,2018-02-28,260,91.3,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",2023-02-17,436,"['Secrus', 'abn', 'branchvincent', 'dimbleby', 'finswimmer', 'mkniewallner@backmarket', 'neersighted@mirantis', 'pre-commit-ci[bot]', 'radoering', 'sdispater']",2,10,"['backmarket', 'mirantis']","['@BackMarket ', '@Mirantis']",,13.42,658,443,61,1,13,24,13,659.0,1725.0,90.0,2.6,0,53.99236
-678,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23636,6452,365,Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2023-02-21,2019-09-05,180,130.68878357030016,[],2023-02-17,234,"['MarcSzafraniec', 'alexander-kirillov@facebookairesearch', 'bowenc0221', 'chenbohua3', 'lyttonhao', 'patricklabatut@facebook', 'ppwwyyxx', 'vkhalidov', 'wat3rBro', 'wenliangzhao2018']",2,10,"['facebook', 'facebookairesearch']","['Facebook', 'Facebook AI Research']",,1.75,203,153,42,0,0,3,3,203.0,278.0,90.0,1.4,0,44.76215
-289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,23631,3909,299,Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2023-02-21,2019-02-02,211,111.69277515192438,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",2023-02-21,93,"['ChristophReich1996@technicaluniversityofdarmstadt', 'VRandme@independent', 'alexander-soare', 'amaarora@weights&biases', 'fffffgggg54', 'kaczmarj@stonybrookmedicine', 'michalwols', 'mrT23', 'nateraw@huggingface', 'rwightman']",5,10,"['huggingface', 'independent', 'stonybrookmedicine', 'technicaluniversityofdarmstadt', 'weights&biases']","['@huggingface', 'Stony Brook Medicine', 'Technical University of Darmstadt', 'Weights & Biases', 'independent']",,7.12,105,78,49,0,11,10,11,105.0,180.0,90.0,1.7,0,49.39281
-550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,23042,8362,361,Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2023-02-21,2018-08-22,235,98.05106382978724,"['object-detection', 'instance-segmentation', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch', 'panoptic-segmentation', 'rtmdet', 'semisupervised-learning', 'swin-transformer', 'transformer', 'vision-transformer', 'yolo', 'convnext', 'detr']",2023-02-01,390,"['AronLin@open-mmlab', 'BIGWangYuDong', 'OceanPang@shanghaiailaboratory', 'RangiLyu@shanghaiartificialintelligencelaboratory', 'ZwwWayne@mmlab,ntu', 'hellock@open-mmlab', 'hhaAndroid@nuaa', 'jshilong@shanghaiailab', 'xvjiarui@ucsd', 'yhcao6@cuhk,mmlab']",8,10,"['cuhk,mmlab', 'mmlab,ntu', 'nuaa', 'open-mmlab', 'shanghaiailab', 'shanghaiailaboratory', 'shanghaiartificialintelligencelaboratory', 'ucsd']","['@open-mmlab', '@open-mmlab ', 'CUHK, MMLab', 'MMLab, NTU', 'Shanghai AI Lab', 'Shanghai AI Laboratory', 'Shanghai Artificial Intelligence Laboratory', 'UCSD', 'nuaa']",,4.38,639,463,55,1,18,12,18,639.0,830.0,90.0,1.3,0,55.80078
-86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,22762,2028,284,Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2023-02-21,2019-08-24,182,124.67449139280126,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",2023-02-17,166,"['AnOctopus@streamlit', 'aaj-st', 'jrhone', 'kantuni', 'karriebear', 'kmcgrady', 'tconkling@independent', 'treuille@streamlit', 'tvst@streamlit', 'vdonato@streamlit']",2,10,"['independent', 'streamlit']","['@streamlit', '@streamlit ', 'Streamlit', 'independent']",,12.81,649,412,43,0,22,341,22,650.0,923.0,90.0,1.4,0,51.22655
-54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22742,7766,573,Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2023-02-21,2010-09-13,649,35.02618261826183,"['numpy', 'python']",2023-02-21,1584,"['BvB93@vuamsterdam', 'charris@retired', 'cournape@mercarijp', 'eric-wieser@universityofcambridge', 'mattip@quansightlabs', 'pearu@quansight', 'pv', 'rgommers@quansight', 'seberg', 'teoliphant@quansight,openteams']",7,10,"['mercarijp', 'quansight', 'quansight,openteams', 'quansightlabs', 'retired', 'universityofcambridge', 'vuamsterdam']","['Mercari JP', 'Quansight', 'Quansight Labs', 'Quansight, OpenTeams', 'Retired', 'University of Cambridge', 'VU Amsterdam']",,30.06,1008,759,151,0,17,18,17,1008.0,2800.0,90.0,2.8,0,68.35448
-689,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22685,11254,596,Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2023-02-21,2017-10-19,278,81.3498975409836,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",2019-03-31,47,"['Borda@grid.ai|pytorchlightning', 'Cpruce', 'JNingWei@alibaba', 'akTwelve', 'gakarak@uiipnasb', 'keineahnung2345', 'maxfrei750@universityofduisburg-essen', 'philferriere@freelance', 'ps48@aws,opensearch-project', 'waleedka@apple']",7,10,"['alibaba', 'apple', 'aws,opensearch-project', 'freelance', 'grid.ai|pytorchlightning', 'uiipnasb', 'universityofduisburg-essen']","['@aws, @opensearch-project ', 'Alibaba', 'Apple', 'Freelance', 'Grid.ai | PytorchLightning', 'UIIP NASB', 'University of Duisburg-Essen']",,0.0,69,15,65,48,0,1,1,69.0,82.0,90.0,1.2,0,31.05883
-649,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,22182,4436,641,Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2023-02-21,2016-11-17,326,67.8645104895105,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",2022-11-12,193,"['SaadBenn', 'ankit167@gojek', 'christianbender', 'geon0325@kaist', 'goswami-rahul@google', 'keon', 'nickolaswiebe', 'ofek@datadog', 'quang2705', 'yunshuipiao']",4,10,"['datadog', 'gojek', 'google', 'kaist']","['@datadog', 'GoJek', 'Google', 'KAIST']",,0.25,14,7,76,3,0,0,0,14.0,2.0,90.0,0.1,0,33.7948
-183,ml,https://github.com/google/jax,,,,google/jax,jax,21986,2065,309,Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2023-02-21,2018-10-25,225,97.34471853257432,['jax'],2023-02-21,507,"['apaszke@google', 'froystig@googleresearch,brainteam', 'gnecula@google', 'hawkinsp@google', 'jakevdp@google', 'mattjj@google', 'sharadmv@google', 'shoyer@google', 'skye', 'yashk2810@google']",2,10,"['google', 'googleresearch,brainteam']","['@Google', '@google', '@google ', 'Google', 'google research, brain team']",,53.63,1211,918,53,0,39,38,39,1214.0,1238.0,90.0,1.0,0,57.63921
-252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,21623,2751,229,Python,https://lightning.ai,"lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast.",pytorchlightning,2023-02-21,2019-03-31,203,106.29283707865169,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",2023-02-20,831,"['Borda@grid.ai|pytorchlightning', 'akihironitta@lightning-ai', 'ananthsub', 'awaelchli@lightningai', 'carmocca@lightning-ai', 'dependabot[bot]', 'kaushikb11@lightning-ai', 'rohitgr7@current:opentowork|previouslylightning-ai,episource', 'tchaton@lightning.ai|pytorchlightning', 'williamFalcon@lightningai']",5,10,"['current:opentowork|previouslylightning-ai,episource', 'grid.ai|pytorchlightning', 'lightning-ai', 'lightning.ai|pytorchlightning', 'lightningai']","['@Lightning-AI', '@Lightning-AI ', 'Current: Open to work | Previously @Lightning-AI, @EpisourceLLC', 'Grid.ai | PytorchLightning', 'Lightning AI', 'Lightning.ai | Pytorch Lightning']",,43.12,1283,995,47,0,42,46,42,1284.0,2015.0,90.0,1.6,0,62.95876
-952,ml,https://github.com/lutzroeder/netron,,,,lutzroeder/netron,netron,21366,2399,274,JavaScript,https://netron.app,"netron: Visualizer for neural network, deep learning, and machine learning models",lutzroeder,2023-02-21,2010-12-26,634,33.67755010132853,"['neural-network', 'deep-learning', 'machine-learning', 'deeplearning', 'machinelearning', 'ai', 'ml', 'visualizer', 'onnx', 'keras', 'tensorflow', 'tensorflow-lite', 'coreml', 'caffe', 'caffe2', 'mxnet', 'pytorch', 'torch', 'paddle', 'darknet']",2023-02-20,1,['lutzroeder@microsoft'],1,10,['microsoft'],['@microsoft'],,23.1,90,78,148,0,3,0,3,90.0,88.0,90.0,1.0,0,34.04759
-90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,20978,5489,1004,Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2023-02-21,2009-09-09,702,29.883190883190885,"['python', 'asynchronous']",2023-02-17,435,"['ajdavis@mongodb', 'alekstorm@flexport', 'bdarnell', 'finiteloop', 'minrk@simularesearchlaboratory', 'mivade@ascendanalytics', 'pitrou', 'ploxiln@healthbyro', 'takluyver', 'wolever@sheertex']",6,10,"['ascendanalytics', 'flexport', 'healthbyro', 'mongodb', 'sheertex', 'simularesearchlaboratory']","['@HealthByRo ', '@mongodb ', 'Ascend Analytics', 'Flexport, Inc.', 'Sheertex', 'Simula Research Laboratory']",,1.79,60,41,164,0,0,5,5,60.0,96.0,90.0,1.6,0,52.52141
-8,perf,https://github.com/celery/celery,,,,celery/celery,celery,20971,4434,475,Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2023-02-21,2009-04-24,721,29.057205067300078,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",2023-02-19,1263,"['Nusnus@katz-consulting-group,celery', 'ask@robinhoodmarkets', 'auvipy@celerypsfapacheencode', 'ionelmc', 'maybe-sybr', 'mher', 'nvie@liveblocks', 'piotrmaslanka@smok.co', 'pre-commit-ci[bot]', 'thedrow']",5,10,"['celerypsfapacheencode', 'katz-consulting-group,celery', 'liveblocks', 'robinhoodmarkets', 'smok.co']","['@Celery @PSF @apache @encode', '@Katz-Consulting-Group, @celery', '@liveblocks', '@robinhoodmarkets ', 'smok.co']",,5.21,385,122,168,0,7,17,7,385.0,465.0,90.0,1.2,0,57.88888
-75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,20949,5235,356,Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2023-02-21,2017-08-29,286,73.21168247628557,"['python', 'pytorch', 'artificial-intelligence']",2023-02-09,413,"['alexeib@characterai', 'cndn@facebook', 'dianaml0', 'edunov@facebookairesearch', 'kahne@facebookresearch', 'myleott', 'sravyapopuri388', 'sshleifer@facebookresearch', 'tangyuq@alexaai', 'theweiho']",5,10,"['alexaai', 'characterai', 'facebook', 'facebookairesearch', 'facebookresearch']","['@facebook', '@facebookresearch', 'Alexa AI', 'Character AI', 'Facebook AI Research']",,2.96,204,81,67,0,3,3,3,204.0,188.0,90.0,0.9,0,50.04934
-255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20799,4462,595,Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2023-02-21,2017-05-17,301,69.09966777408638,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",2023-02-20,290,"['dependabot-preview[bot]', 'dependabot[bot]', 'hroff-1902@freqtradecoredev;frizzleapps/whatsitwhatsit', 'mishaker', 'pyup-bot@pyupio', 'robcaulk@emergentmethods', 'samgermain@ccxt', 'shusso', 'vertti@polarsquad', 'xmatthias']",5,10,"['ccxt', 'emergentmethods', 'freqtradecoredev;frizzleapps/whatsitwhatsit', 'polarsquad', 'pyupio']","['@pyupio', 'CCXT', 'Emergent Methods', 'Freqtrade core dev; FrizzleApps/Whatsitwhatsit', 'Polar Squad']",,62.81,468,438,70,0,17,13,17,469.0,1281.0,90.0,2.7,0,61.1575
-45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20705,2636,434,Python,,locust: Scalable load testing tool written in Python,locustio,2023-02-21,2011-02-17,626,33.02985414767548,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",2023-02-18,277,"['HeyHugo@5m', 'Jahaja@embarkstudios', 'Trouv', 'ajt89', 'cgbystrom@epicgames/epicgames', 'cyberw@redshirtconsultingab', 'heyman@heylab', 'max-rocket-internet@deliveryhero', 'mbeacom@aws', 'mboutet']",7,10,"['5m', 'aws', 'deliveryhero', 'embarkstudios', 'epicgames/epicgames', 'heylab', 'redshirtconsultingab']","['@5m ', '@EmbarkStudios', '@aws', 'Delivery Hero', 'Epic Games / @EpicGames', 'Heylab', 'Red Shirt Consulting AB']",,7.62,62,54,146,0,19,9,19,62.0,136.0,90.0,2.2,0,57.09268
-273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,20578,4291,502,C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2023-02-21,2019-06-13,192,106.70074074074074,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",2023-02-19,28,"['NikolayChirkov@googleinc', 'acozzette@google', 'camillol', 'khanhlvg@google', 'kinaryml', 'kuaashish', 'markmcd@google', 'priankakariatyml', 'schmidt-sebastian', 'ziyeqinghan@google']",2,10,"['google', 'googleinc']","['@google ', 'Google', 'Google Inc']",,19.75,475,319,45,0,5,12,5,476.0,1542.0,90.0,3.2,0,46.77753
-2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20257,6873,1089,C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2023-02-21,2015-04-30,407,49.666900175131346,['mxnet'],2023-01-26,981,"['antinucleon@facebook', 'eric-haibin-lin@ex-awsai,bytedanceaml', 'leezu@amazonwebservices', 'mli@amazon', 'piiswrong@universityofwashington', 'pluskid@mit', 'szha@amazonai', 'tqchen@cmu,octoml', 'vchuravy@mit', 'yzhliu@amazonwebservices']",8,10,"['amazon', 'amazonai', 'amazonwebservices', 'cmu,octoml', 'ex-awsai,bytedanceaml', 'facebook', 'mit', 'universityofwashington']","['@mit', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'CMU, OctoML', 'Facebook', 'MIT', 'University of Washington', 'ex-AWS AI, Bytedance AML']",,1.94,57,23,95,1,4,6,4,57.0,70.0,90.0,1.2,0,52.36291
-607,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,20072,2276,738,Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2023-02-20,2017-03-01,312,64.33333333333333,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",2023-02-08,44,"['Carreau@quansight-labs', 'Naereen', 'alexrkopp', 'ghurley', 'mco-gh@googlecloudplatform', 'norvig@google', 'pathcl', 'ramalho@thoughtworksthoughtworksinc', 'rmeertens', 'vladimirlojanica']",4,10,"['google', 'googlecloudplatform', 'quansight-labs', 'thoughtworksthoughtworksinc']","['@GoogleCloudPlatform ', '@Quansight-Labs', '@thoughtworks @ThoughtWorksInc ', 'Google']",,1.44,4,3,73,0,0,0,0,4.0,1.0,90.0,0.2,0,33.33224
-409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,19937,3021,645,C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2023-02-21,2014-05-19,457,43.59856294907841,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",2023-02-18,627,"['CasperN', 'TGIshib', 'aardappel@voxraygames', 'bjornharrtell@septima', 'dbaileychess@google', 'krojew', 'paulovap@bookingcom', 'rw@cto', 'vaind', 'vglavnyy']",5,10,"['bookingcom', 'cto', 'google', 'septima', 'voxraygames']","['@Septima', '@bookingcom', 'CTO', 'Google', 'VoxRay Games']",,7.1,222,153,107,0,13,4,13,222.0,445.0,90.0,2.0,0,58.22131
-350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19617,4910,731,C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2023-02-21,2016-08-15,340,57.64861460957179,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",2023-02-21,923,"['JiayiFeng', 'dzhwinter@baidu', 'gangliao@tiktok', 'jacquesqiao@baidubdg/idl/dltp', 'luotao1@paddlepaddle', 'qingqing01', 'reyoung@tencent', 'sneaxiy', 'tensor-tang', 'velconia@baiduaigroup']",6,10,"['baidu', 'baiduaigroup', 'baidubdg/idl/dltp', 'paddlepaddle', 'tencent', 'tiktok']","['@PaddlePaddle ', 'Baidu', 'Baidu AI Group', 'Baidu BDG/IDL/DLTP', 'Tencent', 'TikTok']",,110.25,4560,3726,79,0,6,11,6,4558.0,5534.0,90.0,1.2,0,65.50145
-232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,18960,1787,231,Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2023-02-21,2013-07-14,501,37.81196581196581,"['python', 'cookiecutter']",2022-09-09,285,"['audreyfeldroy@margaritahumanitarian', 'freakboy3742', 'hackebrot@mozilla', 'insspb', 'jensens@klein&partnerkgandbluedynamics', 'michaeljoseph', 'pfmoore', 'pydanny@octoenergy', 'simobasso@ovalmoney', 'ssbarnea@redhatansible']",6,10,"['klein&partnerkgandbluedynamics', 'margaritahumanitarian', 'mozilla', 'octoenergy', 'ovalmoney', 'redhatansible']","['@OvalMoney ', '@margaritahumanitarian', '@mozilla', '@octoenergy ', 'Klein & Partner KG and  @bluedynamics ', 'Red Hat @ansible']",,3.0,64,10,117,6,2,3,2,64.0,74.0,90.0,1.2,0,44.30751
-789,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18877,13983,1470,Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2023-02-21,2012-06-30,555,33.97762921059398,[],2022-11-03,9,"['ColdFire87', 'betatim@nvidia', 'crwilcox@googlecloud', 'kmather73', 'mbiesiad', 'rothwerx', 'thisizkp@vndly', 'wesm@voltrondata', 'y33-j3T@two-little-epochs']",5,10,"['googlecloud', 'nvidia', 'two-little-epochs', 'vndly', 'voltrondata']","['@two-little-epochs ', '@voltrondata', 'Google Cloud', 'Nvidia ', 'VNDLY']",,0.13,3,3,130,4,0,0,0,3.0,4.0,90.0,1.3,0,28.62547
-186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18856,2577,222,TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2023-02-21,2018-07-24,239,78.84826762246117,"['latex', 'deep-neural-networks']",2020-11-06,13,"['Alyetama', 'Brandon-HY-Lin', 'HarisIqbal88', 'StevenShi-23@nationaluniversityofsingapore', 'jackyko1991@universityofoxford', 'lukasliebel@tensoreye,technicaluniversityofmunich', 'mbrukman@google', 'pedrodiamel@cesarbr', 'weiji14@developmentseed', 'weslynn']",6,10,"['cesarbr', 'developmentseed', 'google', 'nationaluniversityofsingapore', 'tensoreye,technicaluniversityofmunich', 'universityofoxford']","['@CESARBR', '@Google', '@developmentseed', 'National University of Singapore', 'Tensoreye, Technical University of Munich', 'University of Oxford']",,0.0,6,2,56,28,0,0,0,6.0,3.0,90.0,0.5,0,22.31841
-187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18576,2804,262,Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2023-02-21,2016-11-22,326,56.95663600525624,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",2022-06-16,205,"['QuentinAmbard', 'RAMitchell@nvidia', 'anusham1990', 'dependabot[bot]', 'floidgilbert', 'gabrieltseng@mila-iqia', 'imatiach-msft@microsoft', 'ryserrao', 'slundberg@microsoftresearch', 'vivekchettiar@microsoft']",4,10,"['microsoft', 'microsoftresearch', 'mila-iqia', 'nvidia']","['@mila-iqia', 'Microsoft', 'Microsoft Research', 'Nvidia']",,1.88,152,22,76,8,1,8,1,152.0,135.0,90.0,0.9,0,39.28205
-763,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,18200,1965,185,Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2023-02-21,2021-07-19,83,218.52487135506004,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",2022-09-20,11,"['AK391@huggingface', 'Asiimoviet', 'Jared-02', 'NayamAmarshe@$shell', 'ToTheBeginning@tencent', 'cclauss@christianclauss', 'cobanov@refikanadolstudio', 'pratikgl@housinghq', 'rogachevai@vk|hse', 'xinntao@tencent']",7,10,"['$shell', 'christianclauss', 'housinghq', 'huggingface', 'refikanadolstudio', 'tencent', 'vk|hse']","['$SHELL', '@RefikAnadolStudio ', '@housinghq', 'Christian Clauss', 'Huggingface', 'Tencent', 'VK | HSE']",,0.6,99,13,19,5,2,12,2,99.0,93.0,90.0,0.9,0,30.50811
-61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,18119,1845,410,Python,https://plotly.com/dash,dash: Data Apps & Dashboards for Python. No JavaScript Required.,plotly,2023-02-21,2015-04-10,410,44.115826086956524,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",2023-02-15,132,"['AnnMarieW@nostarchpress-thebookofdash', 'HammadTheOne', 'Marc-Andre-Rivet@plotly', 'T4rk1n', 'alexcjohnson', 'byronz', 'chriddyp@plotly', 'rmarren1', 'rpkyle', 'valentijnnieman']",2,10,"['nostarchpress-thebookofdash', 'plotly']","['@plotly ', 'No Starch Press - The Book of Dash', 'Plotly']",,11.44,156,80,96,0,12,11,12,156.0,180.0,90.0,1.2,0,48.86529
-931,nlp,https://github.com/acheong08/chatgpt,,,,acheong08/chatgpt,ChatGPT,18011,2728,198,Python,,ChatGPT: Reverse engineered ChatGPT API,acheong08,2023-02-21,2022-12-03,11,1556.5061728395062,"['chatgpt', 'cli', 'library', 'pypi-package', 'gptchat', 'revchatgpt']",2023-02-21,77,"['DiamondDemon669', 'Harry-Jing', 'Jamminroot@deeplay.io', 'MonsterDruide1', 'PyRo1121@bankofamerica', 'acheong08', 'robbiebusinessacc', 'scottleibrand@netskope', 'skippyyy', 'snowmeow2']",3,10,"['bankofamerica', 'deeplay.io', 'netskope']","['Bank of America', 'Deeplay.io', 'Netskope, Inc.']",,16.37,700,695,3,0,141,604,141,700.0,3921.0,90.0,5.6,0,50.03437
-228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,17792,521,158,Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2023-02-21,2021-04-08,97,181.8160583941606,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",2023-02-21,69,"['aaronst@mandiant', 'darrenburns', 'davep@davep.org', 'driscollis', 'lllama@nccgroup', 'nitzan-shaked', 'olivierphi@lastmileict', 'overflowy', 'rodrigogiraoserrao', 'willmcgugan@textualize']",5,10,"['davep.org', 'lastmileict', 'mandiant', 'nccgroup', 'textualize']","['@lastmileICT ', '@mandiant', 'NCC Group', 'Textualize', 'davep.org']",,71.12,588,485,23,0,19,14,19,589.0,1138.0,90.0,1.9,0,54.15102
-107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,17554,5525,505,Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2023-02-21,2016-03-21,361,48.58758402530645,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",2023-02-21,107,"['AtsushiSakai', 'Gjacquenot', 'araffin@dlr-rm', 'daniel-s-ingram@torcrobotics', 'dependabot[bot]', 'drewtu2', 'goktug97@idealworks', 'guilyx@tiiuae', 'karanchawla', 'takayuki5168@tier4']",5,10,"['dlr-rm', 'idealworks', 'tier4', 'tiiuae', 'torcrobotics']","['@DLR-RM', '@idealworks', '@tier4', '@tiiuae', 'Torc Robotics']",,2.04,45,43,84,0,0,0,0,45.0,14.0,90.0,0.3,0,40.88796
-349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,17391,2035,192,Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2023-02-21,2020-02-13,157,110.16923076923077,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",2023-02-20,163,"['JoanFM@jina-ai', 'alaeddine-13', 'alexcg1@jina-ai', 'bwanglzu@jina-ai', 'cristianmtr', 'deepankarm@jina-ai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'maximilianwerk', 'nan-wang@jinaai']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', '@jina-ai ', 'Jina AI']",,20.96,310,281,37,0,108,121,108,310.0,713.0,90.0,2.3,0,52.4715
-6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,17253,4037,448,Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2023-02-21,2012-03-26,569,30.306398996235885,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",2023-02-21,635,"['Maggie-M@continuumanalytics', 'almarklein@independentsoftwareengineer', 'bryevdv@nvidia', 'canavandl', 'canavandl-test', 'damianavila', 'fpliger', 'havocp', 'mattpap', 'paddymul@independent']",4,10,"['continuumanalytics', 'independent', 'independentsoftwareengineer', 'nvidia']","['Continuum Analytics, Inc.', 'Independent', 'Independent software engineer', 'Nvidia']",,8.38,305,177,133,0,0,10,10,305.0,574.0,90.0,1.9,0,57.63469
-144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,17116,4330,598,Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2023-02-21,2019-02-11,210,81.39402173913044,['paper'],2020-12-02,16,"['ArmaanBhullar', 'GitHub30', 'WuTheFWasThat', 'albertwujj', 'christopherhesse@openai', 'imgntn', 'jackclarksf', 'madisonmay@indicodatasolutions', 'natemurthy', 'webproduktion01']",2,10,"['indicodatasolutions', 'openai']","['@IndicoDataSolutions ', 'OpenAI']",,0.0,8,2,49,27,0,0,0,8.0,9.0,90.0,1.1,0,20.06364
-31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,17067,2464,283,Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2023-02-21,2020-03-14,153,111.1339534883721,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",2023-01-06,114,"['JaidedTeam@jaidedai', 'SamSamhuns@nyu,tii', ""arkya-art@delhitechnologicaluniversity(dtu'22)"", 'dakotahorstman@duratechindustries', 'danielinux7', 'jpotter@enveritas', 'rkcosmos@jaidedai', 'ronaldaug', 'sardasumit', 'visutida']",5,10,"[""delhitechnologicaluniversity(dtu'22)"", 'duratechindustries', 'enveritas', 'jaidedai', 'nyu,tii']","['@JaidedAI', ""Delhi Technological university (DTU'22)"", 'DuraTech Industries', 'Enveritas', 'Jaided AI', 'NYU, TII']",,1.0,104,38,36,2,5,7,5,104.0,123.0,90.0,1.2,0,41.52995
-48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16895,6739,592,Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2023-02-21,2011-02-19,626,26.96420428636571,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",2023-02-21,1473,"['NelleV@timc', 'QuLogic', 'anntzer', 'dstansby@ucl', 'efiring@universityofhawaii', 'jdh2358', 'jklymak@universityofvictoria', 'mdboom@microsoft', 'tacaswell@brookhavennationallab', 'timhoffm']",6,10,"['brookhavennationallab', 'microsoft', 'timc', 'ucl', 'universityofhawaii', 'universityofvictoria']","['Brookhaven National Lab', 'Microsoft', 'TIMC', 'UCL', 'University of Hawaii', 'University of Victoria']",,40.5,1299,800,146,0,10,10,10,1298.0,2691.0,90.0,2.1,0,66.46063
-30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16848,1492,413,Python,https://sanic.dev,sanic:  Accelerate your web app development  | Build fast. Run fast.,huge-success,2023-02-21,2016-05-26,351,47.8830694275274,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",2023-02-21,327,"['38elements', 'Tronic', 'ahopkins@packetfabric', 'ashleysommer@csiro', 'channelcat', 'harshanarayana@ciscosystems', 'r0fls', 'seemethere@pytorch', 'sjsadowski@metameta', 'yunstanford@airbnb']",6,10,"['airbnb', 'ciscosystems', 'csiro', 'metameta', 'packetfabric', 'pytorch']","['@Airbnb', '@PacketFabric', '@csiro ', '@pytorch', 'Cisco Systems', 'Meta Meta LLC']",,2.33,121,81,82,0,11,12,11,121.0,305.0,90.0,2.5,0,54.55089
-373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16809,3094,250,Python,https://pyg.org,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2023-02-21,2017-10-06,280,59.879389312977096,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",2023-02-21,380,"['EdisonLeeeee@sunyat-senuniversity', 'Padarn@myteksi', 'dongkwan-kim@uilab-githubsparcs-kaist', 'ekagra-ranjan', 'janericlenssen@max-planckinstituteforinformatics,kumo.ai', 'lgray', 'lightaime@kaustivul', 'mananshah99@kumo-ai', 'rusty1s', 'wsad1']",6,10,"['kaustivul', 'kumo-ai', 'max-planckinstituteforinformatics,kumo.ai', 'myteksi', 'sunyat-senuniversity', 'uilab-githubsparcs-kaist']","['@kumo-ai ', '@myteksi', '@uilab-github @sparcs-kaist ', 'KAUST IVUL', 'Max-Planck Institute for Informatics, Kumo.ai', 'Sun Yat-sen University']",,20.0,594,503,65,0,3,6,3,594.0,1001.0,90.0,1.7,0,56.82484
-426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16456,8022,641,Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2023-02-21,2017-09-05,285,57.71142284569138,[],2023-02-13,9,"['DerekChia', 'Kuz-man', 'bfaissal@moroccojug', 'fchollet', 'iamaziz', 'rama100', 'var-nan']",1,10,['moroccojug'],['MoroccoJUG'],,0.1,10,5,66,0,0,0,0,10.0,7.0,90.0,0.7,0,25.38372
-102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16333,2356,483,Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2023-02-21,2012-09-20,543,30.03178355660625,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",2023-02-09,597,"['Tarrasch@google', 'daveFNbuck@houzz', 'dlstadther@q2ebanking', 'erikbern', 'freider@modallabs', 'gpoulin', 'honnix@spotify', 'themalkolm', 'ulzha', 'vitling']",5,10,"['google', 'houzz', 'modallabs', 'q2ebanking', 'spotify']","['@spotify ', 'Google', 'Houzz', 'Modal Labs', 'Q2ebanking']",,0.73,26,14,127,0,3,6,3,26.0,48.0,90.0,1.8,0,50.1409
-328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,16289,1582,154,Go,https://aquasecurity.github.io/trivy,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2023-02-21,2019-04-11,201,80.69568294409059,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",2023-02-20,283,"['DmitriyLewen', 'afdesk', 'dependabot[bot]', 'josedonizetti', 'knqyf263', 'liamg@ghostsecurity', 'masahiro331', 'owenrumney@ghostsecurity', 'simar7', 'tomoyamachi@goodwithtech']",2,10,"['ghostsecurity', 'goodwithtech']","['@ghostsecurity', '@ghostsecurity ', '@goodwithtech ']",,15.79,609,410,47,0,38,28,38,609.0,1227.0,90.0,2.0,0,54.42537
-834,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,15968,6198,733,C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2023-02-21,2013-12-20,478,33.35601313040883,"['micropython', 'python', 'embedded', 'microcontroller']",2023-02-21,555,"['dhylands', 'dlech', 'dpgeorge', 'glennrub', 'iabdalkader@openmv', 'jimmo@micropython', 'pfalcon', 'pi-anl', 'robert-hh', 'stinos']",2,10,"['micropython', 'openmv']","['@micropython', 'OpenMV']",,23.6,441,275,112,0,1,6,1,441.0,1242.0,90.0,2.8,0,54.89231
-109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15742,3669,905,Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2023-02-21,2014-02-21,469,33.513990267639905,"['python', 'crawler']",2020-08-02,62,"['binux', 'eromoe', 'farmercode', 'ihipop', 'jtwaleson@easeebv', 'lushl9301@sun', 'machinewu', 'tiancheng91', 'tunstek', 'xyb']",2,10,"['easeebv', 'sun']","['Easee BV', 'SUN']",,0.0,3,0,110,31,0,1,1,3.0,3.0,90.0,1.0,0,25.02245
-873,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15699,4414,769,Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2023-02-21,2010-05-10,667,23.52665382145151,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",2023-02-21,937,"['Carreau@quansight-labs', 'bfroehle@google', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'ivanov', 'jasongrout@databricks', 'jdfreder@google', 'minrk@simularesearchlaboratory', 'takluyver', 'vivainio@basware']",7,10,"['amazonwebservices', 'basware', 'databricks', 'google', 'quansight-labs', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@databricks', '@google ', 'Amazon Web Services', 'Basware', 'Google', 'Simula Research Laboratory', 'University of California, Berkeley.']",,6.71,173,96,156,0,0,12,12,173.0,271.0,90.0,1.6,0,59.70582
-176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15686,939,235,Python,,PySnooper: Never use print for debugging again,cool-rr,2023-02-21,2019-04-18,200,78.09530583214794,"['python', 'debug', 'debugger', 'introspection', 'logging']",2023-01-03,27,"['alexbers', 'alexmojaki', 'bittner@painless-software', 'cool-RR', 'czietz', 'frenzymadness@redhat', 'iory@japan', 'pikez', 'pohmelie@aratar.tech', 'zasdfgbnm@nvidia']",5,10,"['aratar.tech', 'japan', 'nvidia', 'painless-software', 'redhat']","['@painless-software ', 'Japan', 'NVIDIA', 'Red Hat', 'aratar.tech']",,0.1,5,2,47,3,0,4,4,5.0,12.0,90.0,2.4,0,34.31563
-493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15610,3846,594,Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2023-02-21,2019-06-05,194,80.4639175257732,[],2023-02-16,11,"['AdilZouitine@irtsaint-exupéry', 'AlexZhou1995@alibaba-inc&nanjinguniversity', 'Vijayabhaskar96', 'imatiach-msft@microsoft', 'javierlorenzod', 'niklaskeerl', 'optixlab@intelcorp.', 'rasbt@lightning-ai,universityofwisconsin-madison']",5,10,"['alibaba-inc&nanjinguniversity', 'intelcorp.', 'irtsaint-exupéry', 'lightning-ai,universityofwisconsin-madison', 'microsoft']","['@Lightning-AI , University of Wisconsin-Madison', 'Alibaba-inc & Nanjing University', 'IRT Saint-Exupéry', 'Intel Corp.', 'Microsoft']",,0.92,3,3,45,0,0,0,0,3.0,2.0,90.0,0.7,0,30.32482
-41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15534,2990,620,Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2023-02-21,2010-11-03,642,24.19626168224299,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",2023-02-21,580,"['KeyWeeUsr', 'Zen-CODE@zencode', 'akshayaurora@freelance', 'dessant', 'geojeff', 'inclement', 'kived@ijettech-dev', 'matham@cornelluniversity', 'tito@meltingrocks', 'tshirtman@imc.com']",6,10,"['cornelluniversity', 'freelance', 'ijettech-dev', 'imc.com', 'meltingrocks', 'zencode']","['@ijettech-dev', 'Cornell University', 'Freelance', 'Melting Rocks', 'ZenCODE', 'imc.com']",,1.73,142,81,150,0,1,3,1,142.0,236.0,90.0,1.7,0,52.52735
-19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15521,4370,422,Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2023-02-21,2016-11-16,327,47.464831804281346,"['forecasting', 'r', 'python']",2023-01-31,163,"['Igevorse', 'baogorek@spencerhealthsolutions', 'bletham', 'dependabot[bot]', 'joseangel-sc@pinterest', 'ryankarlos', 'seanjtaylor', 'seriousran@ncsoftaivisionlabgenerationteam', 'sss-ng', 'tcuongd@canva']",4,10,"['canva', 'ncsoftaivisionlabgenerationteam', 'pinterest', 'spencerhealthsolutions']","['@Canva ', '@NCSoft AI Vision Lab Generation Team', 'Pinterest', 'spencer Health Solutions, Inc.']",,1.04,277,148,76,1,3,2,3,277.0,169.0,90.0,0.6,0,43.96541
-604,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15466,1160,176,Python,https://github.com/pyscript/pyscript/discussions,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2023-02-21,2022-02-21,52,295.7978142076503,"['python', 'html', 'javascript', 'wasm']",2023-02-21,98,"['FabioRosado@anaconda', 'JeffersGlass', 'antocuni', 'fpliger', 'madhur-tandon', 'philippjfr@anaconda', 'pre-commit-ci[bot]', 'pww217', 'tedpatrick@pyscriptanaconda', 'woxtu']",2,10,"['anaconda', 'pyscriptanaconda']","['@pyscript @anaconda', 'Anaconda', 'Anaconda Inc.']",,12.98,272,216,12,0,4,4,4,272.0,435.0,90.0,1.6,0,43.38437
-36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15410,1726,221,Python,https://faker.readthedocs.io,Faker is a Python package that generates fake data for you.,joke2k,2023-02-21,2012-11-12,536,28.734683004794885,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",2023-02-19,506,"['Newman101', 'chrisvoncsefalvay@starschema', 'fcurella@minted', 'grantbachman@google', 'illia-v@sailoboats', 'jdufresne@pioneervalleybooks', 'joke2k@selfemployed', 'malefice', 'mdxs@mdxs', 'reverbc']",7,10,"['google', 'mdxs', 'minted', 'pioneervalleybooks', 'sailoboats', 'selfemployed', 'starschema']","['@minted', '@sailoboats', 'Google', 'MDXS', 'Pioneer Valley Books', 'Self Employed', 'Starschema']",,6.81,70,54,125,0,56,27,56,70.0,94.0,90.0,1.3,0,57.8015
-469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15401,2399,301,Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2023-02-21,2020-04-06,150,102.47813688212928,[],2022-11-11,23,"['645775992', 'JohanAR', 'MartinDelille@lylomediagroup', 'alievk', 'christianll9@universityofhildesheim', 'giorgiop', 'iamphi', 'karfly@entrepreneur', 'mikaelhg', 'mynameisfiber@digital-witness-lab']",4,10,"['digital-witness-lab', 'entrepreneur', 'lylomediagroup', 'universityofhildesheim']","['@digital-witness-lab ', 'Entrepreneur', 'Lylo Media Group', 'University of Hildesheim']",,0.02,65,16,35,3,0,1,1,65.0,245.0,90.0,3.8,0,34.84284
-137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,15276,2025,262,Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2023-02-21,2020-03-26,151,100.59454374412041,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",2023-02-21,493,"['abhishekkrthakur@huggingface', 'albertvillanova@huggingfaceaiinnova', 'lewtun@huggingface', 'lhoestq@huggingface', 'mariosasko@huggingface', 'patrickvonplaten', 'sashavor@huggingface', 'stevhliu@huggingface', 'thomwolf@huggingface', 'yjernite@cims,nyu']",3,10,"['cims,nyu', 'huggingface', 'huggingfaceaiinnova']","['@huggingface', '@huggingface ', '@huggingface @Aiinnova', 'CIMS, NYU', 'Hugging Face', 'HuggingFace']",,17.19,368,265,35,0,20,24,20,368.0,1116.0,90.0,3.0,0,56.92121
-74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14873,2450,228,Python,https://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2023-02-21,2012-12-07,532,27.91928130866184,"['python', 'types', 'typing', 'typechecker', 'linter']",2023-02-20,631,"['JukkaL', 'Michael0x2a', 'ddfisher', 'gvanrossum@microsoft', 'hauntsaninja@openai', 'ilevkivskyi', 'ivuk', 'msullivan@edgedb', 'sobolevn', 'spkersten@philipshue']",4,10,"['edgedb', 'microsoft', 'openai', 'philipshue']","['@OpenAI', 'EdgeDB', 'Microsoft', 'Philips Hue']",,16.92,869,495,124,0,0,7,7,869.0,1600.0,90.0,1.8,0,59.43172
-868,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,14661,1530,188,Python,https://www.colossalai.org/,"ColossalAI: Making big AI models cheaper, easier, and more scalable",hpcaitech,2023-02-21,2021-10-28,68,212.91908713692945,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training']",2023-02-21,97,"['1SAA@hpcaitech', 'Cypher30@fudanuniversity', 'FrankLeeeee', 'Wesley-Jzy', 'YuliangLiu0306', 'binmakeswell@nationaluniversityofsingapore', 'feifeibear', 'github-actions[bot]', 'oahzxl@nationaluniversityofsingapore', 'ver217@hpcaitech']",3,10,"['fudanuniversity', 'hpcaitech', 'nationaluniversityofsingapore']","['@Fudan University', '@hpcaitech', '@hpcaitech ', 'National University of Singapore']",,36.31,942,802,16,0,24,20,24,943.0,842.0,90.0,0.9,0,50.39878
-148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14418,2474,312,Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2023-02-21,2017-06-10,297,48.452232357177145,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",2021-03-02,65,"['Jamim@itechartgroup', 'Mehdzor@maximlevin', 'NoSuck', 'calebglawson@ololabs', 'fshabashev', 'haccer', 'himanshudabas', 'hpiedcoq', 'pielco11@none', 'yunusemrecatalcam@yechops']",5,10,"['itechartgroup', 'maximlevin', 'none', 'ololabs', 'yechops']","['@NONE', '@ololabs', 'Maxim Levin', 'YechOps', 'iTechArt Group']",,0.0,3,1,69,24,0,4,4,3.0,1.0,90.0,0.3,0,28.3125
-718,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,14234,712,121,Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js",pola-rs,2023-02-21,2020-05-13,145,98.1655172413793,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",2023-02-21,173,"['Dandandan@godatadriven', 'MarcoGorelli@quansight', 'alexander-beedie', 'ghuls@aertslab', 'ibENPC', 'matteosantama@universityofcalifornia,berkeley', 'ritchie46', 'stinodego', 'universalmind303', 'zundertj']",4,10,"['aertslab', 'godatadriven', 'quansight', 'universityofcalifornia,berkeley']","['@aertslab ', '@godatadriven', 'Quansight', 'University of California, Berkeley']",,42.81,1628,1331,34,0,44,128,44,1628.0,3211.0,90.0,2.0,0,57.92702
-175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,14165,585,120,Python,,loguru: Python logging made (stupidly) simple,delgan,2023-02-21,2017-08-15,288,49.159643034209225,"['python', 'logging', 'logger', 'log']",2023-02-01,42,"['AdrianDeAnda', 'AndrewYakimets', 'Delgan', 'benhowes', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'layday', 'mayanyax', 'nasyxx', 'ponponon']",1,10,"['freelancer,upforhire']","['Freelancer, up for hire']",,2.06,69,51,67,1,0,3,3,69.0,119.0,90.0,1.7,0,36.69806
-332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,14133,3722,549,C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2023-02-21,2017-09-08,284,49.6392373306573,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",2023-01-25,147,"['andrewcoh', 'awjuliani', 'chriselion@ziplineinternational', 'dongruoping@unitytechnologies/carnegiemellonuniversity', 'ervteng', 'pderichai@google', 'shihzy@facebook', 'surfnerd', 'vincentpierre', 'xiaomaogy@unitytechnologies']",5,10,"['facebook', 'google', 'unitytechnologies', 'unitytechnologies/carnegiemellonuniversity', 'ziplineinternational']","['@google', 'Facebook', 'Unity Technologies', 'Unity Technologies/Carnegie Mellon University', 'Zipline International']",,1.13,138,78,66,1,1,25,1,138.0,60.0,90.0,0.4,0,41.58796
-124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,14114,3330,428,Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2023-02-21,2017-09-07,284,49.54764292878636,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",2023-02-21,269,"['anderspapitto', 'askhade', 'bddppq', 'gramalingam@microsoftresearch', 'houseroad', 'jcwchen@microsoft', 'linkerzhang', 'prasanthpul@microsoft', 'smessmer', 'yuanbyu@microsoft']",2,10,"['microsoft', 'microsoftresearch']","['@Microsoft', 'Microsoft', 'Microsoft Research']",,5.83,356,228,66,0,2,4,2,356.0,440.0,90.0,1.2,0,47.56062
-104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,13972,4322,429,Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2023-02-21,2011-02-10,627,22.253469852104665,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",2023-02-17,441,"['Witiko@masarykuniversity', 'chinmayapancholi13', 'cscorley', 'gojomo@http://xavvy.com', 'jayantj@mixpanel', 'menshikh-iv@constructor.io,embedika', 'mpenkov@profoundnetworks', 'piskvorky@rare-technologies', 'sotte', 'tmylk']",6,10,"['constructor.io,embedika', 'http://xavvy.com', 'masarykuniversity', 'mixpanel', 'profoundnetworks', 'rare-technologies']","['@ProfoundNetworks', '@RARE-Technologies', '@mixpanel', 'Constructor.io, Embedika', 'Masaryk University', 'http://xavvy.com']",,1.79,68,52,146,0,2,6,2,68.0,149.0,90.0,2.2,0,52.44887
-972,ml,https://github.com/openai/baselines,,,,openai/baselines,baselines,13741,4526,613,Python,,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms,openai,2023-02-21,2017-05-24,300,45.803333333333335,[],2020-01-31,115,"['20chase', 'AurelianTactics', 'MatPoliquin', 'andrewliao11@universityoftoronto', 'christopherhesse@openai', 'joschu', 'pzhokhov', 'siemanko@openai', 'unixpickle', 'zuoxingdong@navercorp']",3,10,"['navercorp', 'openai', 'universityoftoronto']","['NAVER Corp', 'OpenAI', 'University of Toronto']",,0.0,12,4,70,37,0,0,0,12.0,6.0,90.0,0.5,0,26.07025
-119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13685,3201,286,Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2023-02-21,2018-06-05,246,55.59779454439931,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",2023-02-21,547,"['BenWilson2@databricks', 'WeichenXu123@databricks', 'aarondav', 'dbczumar', 'harupy', 'mlflow-automation', 'mparkhe@databricks', 'smurching', 'sunishsheth2009@databricks.exlinkedin', 'tomasatdatabricks']",2,10,"['databricks', 'databricks.exlinkedin']","['@databricks', '@databricks ', '@databricks. Ex LinkedIn', 'Databricks']",,23.5,625,440,57,0,13,24,13,625.0,1531.0,90.0,2.4,0,56.77433
-674,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13681,1055,104,Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2023-02-21,2021-07-03,85,159.87813021702837,[],2023-02-10,27,"['AetherUnbound@automattic', 'Gertie01', 'borisdayma', 'ghosh-r', 'khalidsaifullaah@universityofmaryland,collegepark', 'mallorbc@brillibits', 'patil-suraj@huggingface', 'patrickpiccini@linx|stone', 'pcuenca', 'tmabraham']",5,10,"['automattic', 'brillibits', 'huggingface', 'linx|stone', 'universityofmaryland,collegepark']","['Automattic', 'Brillibits', 'Huggingface', 'Linx | Stone ', 'University of Maryland, College Park']",,2.42,16,5,20,0,3,2,3,16.0,26.0,90.0,1.6,0,37.28145
-56,term,https://github.com/pallets/click,,,,pallets/click,click,13511,1313,180,Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2023-02-21,2014-04-24,460,29.3171109733416,"['python', 'cli', 'click', 'pallets']",2023-02-07,337,"['davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'iKevinY', 'jcrotts', 'julen', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'sirosen', 'untitaker@getsentry']",2,10,"['getsentry', 'sentry']","['@getsentry ', 'Sentry']",,1.1,73,47,108,0,4,5,4,73.0,48.0,90.0,0.7,0,45.01838
-544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13310,2358,231,Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2023-02-21,2015-07-10,397,33.46623563218391,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",2020-06-01,36,"['Borda@grid.ai|pytorchlightning', 'Erotemic@kitware', 'SarthakYadav@idiap', 'adamwkraft', 'aleju', 'creinders', 'gaborvecsei', 'jgraving@maxplanckinstituteofanimalbehavior', 'stnk20', 'wkentaro@mujin']",5,10,"['grid.ai|pytorchlightning', 'idiap', 'kitware', 'maxplanckinstituteofanimalbehavior', 'mujin']","['@Kitware', '@mujin', 'Grid.ai | PytorchLightning', 'IDIAP', 'Max Planck Institute of Animal Behavior']",,0.0,11,3,93,33,0,2,2,11.0,11.0,90.0,1.0,0,28.83625
-408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13285,1866,228,Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2023-02-21,2013-10-01,490,27.10434275721364,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",2023-02-16,665,"['Dreamsorcerer', 'asvetlov@neu.ro', 'dependabot-preview[bot]', 'dependabot[bot]', 'fafhrd91@microsoft', 'kxepal', 'patchback[bot]', 'popravich@evo-company', 'pyup-bot@pyupio', 'webknjaz@ansiblecoreredhatofficial']",5,10,"['ansiblecoreredhatofficial', 'evo-company', 'microsoft', 'neu.ro', 'pyupio']","['@Ansible Core @ @RedHatOfficial', '@evo-company', '@pyupio', 'Microsoft', 'Neu.ro']",,7.0,177,101,114,0,3,25,3,177.0,471.0,90.0,2.7,0,56.73031
-956,ml,https://github.com/openai/openai-cookbook,,,,openai/openai-cookbook,openai-cookbook,13284,1661,304,Jupyter Notebook,,openai-cookbook: Examples and guides for using the OpenAI API,openai,2023-02-21,2022-03-11,49,267.2068965517241,[],2023-02-17,38,"['BorisPower', 'MikeHeaton', 'cmurtz-msft@microsoft', 'colin-jarvis', 'colin-openai', 'filipeabperes', 'isafulf', 'logankilpatrick@openaijulialang', 'shyamal-anadkat@openai', 'ted-at-openai@openai']",3,10,"['microsoft', 'openai', 'openaijulialang']","['@OpenAI @JuliaLang', 'Microsoft', 'OpenAI']",,2.67,121,96,12,0,0,0,0,121.0,193.0,90.0,1.6,0,35.96004
-942,nlp,https://github.com/karpathy/mingpt,,,,karpathy/mingpt,minGPT,13102,1477,228,Python,,minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training,karpathy,2023-02-21,2020-08-17,131,99.79760609357997,[],2023-01-08,15,"['brchristian', 'ericjang', 'fpgaminer', 'karpathy', 'luigidisotto@aitechnologiessrl', 'michaellavelle@ml4jjvmtorch', 'mishig25@huggingface', 'nat@github', 'shivamtawari', 't-vi@mathinfhttps://mathinf.eu/']",5,10,"['aitechnologiessrl', 'github', 'huggingface', 'mathinfhttps://mathinf.eu/', 'ml4jjvmtorch']","['@huggingface ', '@ml4j @jvmtorch ', 'AI Technologies srl', 'GitHub', 'MathInf https://mathinf.eu/']",,0.96,20,4,31,1,0,0,0,20.0,6.0,90.0,0.3,0,28.72505
-554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,13034,2157,331,Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2023-02-21,2017-08-09,289,45.10034602076124,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",2023-02-18,164,"['EnricoMi', 'abditag2@uber', 'alsrgv@carbonrobotics', 'chongxiaoc@uber', 'irasit@uber', 'maxhgerlach@deeplse', 'nvcastet@nvidia', 'romerojosh@nvidia', 'tgaddair@uber', 'yuxihu@aws']",5,10,"['aws', 'carbonrobotics', 'deeplse', 'nvidia', 'uber']","['@AWS', '@carbonrobotics', '@uber ', 'DeepL SE', 'NVIDIA', 'Uber', 'Uber ']",,3.06,110,75,67,0,8,13,8,110.0,159.0,90.0,1.4,0,49.51296
-507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,13006,3175,459,Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2023-02-21,2017-06-15,296,43.81231953801733,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",2023-02-17,243,"['MechCoder@googlebrain', 'afrozenator@google', 'blazejosinski', 'dustinvtran@googlebrain', 'koz4k@mimuw', 'lukaszkaiser@google', 'mbz@universityofillinoisaturbana–champaign', 'nshazeer', 'urvashik', 'vthorsteinsson@mideind']",5,10,"['google', 'googlebrain', 'mideind', 'mimuw', 'universityofillinoisaturbana–champaign']","['@mideind ', 'Google', 'Google Brain', 'MIMUW', 'University of Illinois at Urbana–Champaign']",,0.25,6,1,69,0,0,13,13,6.0,5.0,90.0,0.8,0,43.80581
-62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,12956,2301,276,Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python (includes Plotly Express) :sparkles:,plotly,2023-02-21,2013-11-21,482,26.831952662721893,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",2023-01-31,219,"['Kully', 'LiamConnors', 'chriddyp@plotly', 'cldougl@plotly', 'emmanuelle', 'etpinard@r2-inc', 'jonmmease@hextechnologies', 'nicolaskruchten', 'theengineear@netflix', 'yankev']",4,10,"['hextechnologies', 'netflix', 'plotly', 'r2-inc']","['@R2-inc', 'Hex Technologies', 'Netflix', 'Plotly']",,5.21,235,102,113,0,9,15,9,235.0,316.0,90.0,1.3,0,52.14271
-812,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12942,4234,551,Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2023-02-21,2014-09-28,438,29.519061583577713,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",2021-06-01,103,"['DarkmatterVale@amazonwebservices', 'JulianoEngineer@uplicativos', 'Martmists-GH@claritycafe', 'davizucon', 'gunthercox', 'lesleslie@wedgwoodwebworks', 'manoelrui', 'navyad', 'rafak360', 'rmdort@self']",5,10,"['amazonwebservices', 'claritycafe', 'self', 'uplicativos', 'wedgwoodwebworks']","['@ClarityCafe', '@self', 'Amazon Web Services', 'Uplicativos', 'Wedgwood Web Works']",,0.0,26,5,102,21,0,10,10,26.0,25.0,90.0,1.0,0,36.14244
-346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,12879,846,102,HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2023-02-21,2018-12-19,218,59.07798165137615,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",2023-02-21,135,"['AK391@huggingface', 'FarukOzderim@pennstate', 'abidlabs', 'aliabd', 'aliabid94', 'dawoodkhan82', 'freddyaboulton', 'ikaharudin', 'pngwn', 'testaliabid']",2,10,"['huggingface', 'pennstate']","['Huggingface', 'Penn State']",,24.69,756,569,51,0,92,23,92,758.0,2128.0,90.0,2.8,0,54.68992
-281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,12836,2816,111,TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2023-02-21,2016-01-28,368,34.7993803253292,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",2023-02-20,192,"['Stanzilla', 'XhmikosR', 'coliff@trimble-oss', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'facelessuser', 'greenkeeper[bot]', 'squidfunk@stylezen', 'timvink']",2,10,"['stylezen', 'trimble-oss']","['@stylezen', '@trimble-oss']",,16.73,326,306,86,0,61,44,61,327.0,847.0,90.0,2.6,0,55.05145
-39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12647,2557,312,TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2023-02-21,2016-06-03,350,36.06069246435845,"['jupyterlab', 'jupyter']",2023-02-21,527,"['afshin@jupyterquantstack', 'blink1073@mongodb', 'echarles@datalayer', 'ellisonbg@amazonwebservices', 'fcollonval@quantstack', 'ian-r-rose@coiled', 'jasongrout@databricks', 'jtpio@quantstack', 'saulshanabrook', 'telamonian@jpmorgan']",8,10,"['amazonwebservices', 'coiled', 'databricks', 'datalayer', 'jpmorgan', 'jupyterquantstack', 'mongodb', 'quantstack']","['@Datalayer', '@QuantStack', '@coiled ', '@databricks', '@jupyter @quantstack', 'Amazon Web Services', 'JP Morgan', 'MongoDB']",,16.13,1286,932,82,0,50,5044,50,1287.0,2291.0,90.0,1.8,0,63.69518
-314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,12551,1161,89,Python,https://docs.pydantic.dev,pydantic: Data validation using Python type hints,samuelcolvin,2023-02-21,2017-05-03,303,41.42244224422442,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",2023-02-19,349,"['Bobronium@pheon', 'Gr1N@pandadoc', 'PrettyWood@toucantoco', 'dependabot-preview[bot]', 'dependabot[bot]', 'dmontagu@formlogic', 'hramezani@crate', 'pyup-bot@pyupio', 'samuelcolvin@pydantic', 'tiangolo']",7,10,"['crate', 'formlogic', 'pandadoc', 'pheon', 'pydantic', 'pyupio', 'toucantoco']","['@PandaDoc', '@ToucanToco', '@crate ', '@pydantic', '@pyupio', 'Formlogic', 'Pheon']",,6.13,395,237,71,0,11,16,11,395.0,951.0,90.0,2.4,0,57.7591
-127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12525,1749,283,Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2023-02-21,2018-06-01,246,50.76722640416908,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",2023-02-20,186,"['J-shang', 'Lijiaoa', 'QuanluZhang', 'SparkSnail', 'chicm-ms', 'liuzhe-lz', 'lvybriage@inspur', 'squirrelsc@microsoft', 'suiguoxin@msra', 'ultmaster@microsoft']",3,10,"['inspur', 'microsoft', 'msra']","['Inspur', 'MSRA', 'Microsoft']",,7.02,188,101,58,0,4,10,4,188.0,240.0,90.0,1.3,0,48.02149
-152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12498,1997,202,Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2023-02-21,2018-06-11,245,50.95282469423413,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",2023-02-21,240,"['alanakbik', 'dobbersc@humboldt-universitätzuberlin', 'helpmefindaname@researchindustrialsystemsengineering(rise)', 'leonweber@lmumunich', 'marcelmmm', 'pommedeterresautee@els-rdlefebvresarrut', 'stefan-it', 'tabergma@rasahq', 'whoisjones@humboldtuniversität', 'yosipk']",6,10,"['els-rdlefebvresarrut', 'humboldt-universitätzuberlin', 'humboldtuniversität', 'lmumunich', 'rasahq', 'researchindustrialsystemsengineering(rise)']","['@ELS-RD Lefebvre Sarrut', '@RasaHQ ', 'Humboldt Universität', 'Humboldt-Universität zu Berlin', 'LMU Munich', 'Research Industrial Systems Engineering (RISE)']",,11.46,216,164,57,0,1,5,1,216.0,271.0,90.0,1.3,0,50.96846
-52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,12242,2844,279,Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2023-02-21,2010-09-06,650,18.825571177504393,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",2023-02-19,641,"['MridulS', 'chebee7i', 'dschult', 'hagberg', 'jarrodmillman@ucberkeley', 'jfinkels', 'jtorrents', 'loicseguin', 'rossbar@caltech', 'ysitu']",2,10,"['caltech', 'ucberkeley']","['Caltech', 'UC Berkeley']",,9.12,384,236,152,0,16,7,16,384.0,508.0,90.0,1.3,0,55.43338
-575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,12238,1776,246,C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2023-02-21,2015-07-05,398,30.715668698458227,"['python', 'bindings']",2023-02-20,315,"['Skylion007@facebookresearch', 'YannickJadoul@maxplanckinstituteforpsycholinguistics&vrijeuniversiteitbrussel', 'aldanor', 'dean0x7d@lumicks', 'dependabot[bot]', 'henryiii@princetonuniversity', 'jagerman', 'pre-commit-ci[bot]', 'rwgk@google', 'wjakob@epfl']",6,10,"['epfl', 'facebookresearch', 'google', 'lumicks', 'maxplanckinstituteforpsycholinguistics&vrijeuniversiteitbrussel', 'princetonuniversity']","['@facebookresearch ', '@lumicks ', 'EPFL', 'Google', 'Max Planck Institute for Psycholinguistics & Vrije Universiteit Brussel', 'Princeton University']",,4.71,168,111,93,0,5,7,5,168.0,387.0,90.0,2.3,0,54.62509
-425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11585,1472,123,Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2023-02-21,2018-06-06,246,47.09349593495935,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",2023-02-15,126,"['BloodAxe@deci-ai', 'Dipet', 'MichaelMonashev', 'albu', 'arsenyinfo', 'creafz', 'i-aki-y', 'ternaus@ternaus.com', 'vfdev-5@quansight', 'zakajd@eyeq']",4,10,"['deci-ai', 'eyeq', 'quansight', 'ternaus.com']","['@Deci-AI ', '@Quansight', 'EyeQ', 'Ternaus.com']",,1.42,83,38,57,0,3,3,3,83.0,133.0,90.0,1.6,0,44.86309
-105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11540,2693,469,Python,https://www.nltk.org,NLTK Source,nltk,2023-02-21,2009-09-07,702,16.432058584214808,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",2023-02-20,438,"['alvations', 'dhgarrette@googleresearch', 'dimazest', 'fievelk', 'heatherleaf@universityofgothenburg', 'iliakur@datadog', 'kmike@zytedata,scrapinghub', 'stevenbird', 'tomaarsen@argilla', 'wroberts@humboldtuniversitätzuberlin']",6,10,"['argilla', 'datadog', 'googleresearch', 'humboldtuniversitätzuberlin', 'universityofgothenburg', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Argilla', 'Datadog', 'Google Research', 'Humboldt Universität zu Berlin', 'University of Gothenburg']",,2.37,95,73,164,0,0,3,3,95.0,167.0,90.0,1.8,0,53.15712
-242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11445,2347,329,Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2023-02-21,2019-01-15,214,53.44563042028019,[],2023-01-31,91,"['Augustin-Zidek', 'alimuldal@deepmind', 'altche@deepmind', 'alvarosg@deepmind', 'derpson@deepmind', 'diegolascasas@deepmind', 'dpfau', 'jsspencer', 'wanglouis49', 'yilei']",1,10,['deepmind'],"['@deepmind', 'DeepMind']",,0.67,23,3,50,1,0,0,0,23.0,20.0,90.0,0.9,0,30.58624
-114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11404,2241,281,Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2023-02-21,2017-05-15,301,37.8511142721669,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",2022-11-22,265,"['DeNeutoy', 'brendan-ai2@ai2', 'bryant1410@michigannlp', 'dependabot[bot]', 'dirkgr', 'epwalsh', 'joelgrus', 'matt-gardner@microsoftsemanticmachines', 'nelson-liu@stanfordnlp', 'schmmd']",4,10,"['ai2', 'michigannlp', 'microsoftsemanticmachines', 'stanfordnlp']","['@MichiganNLP', '@stanfordnlp', 'AI2', 'Microsoft Semantic Machines']",,1.12,8,6,70,3,5,11,5,8.0,12.0,90.0,1.5,0,41.60382
-120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,11345,1128,154,Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2023-02-21,2018-06-29,242,46.742201294879344,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",2023-02-20,128,"['anticorrelator', 'cicdw@prefecthq', 'jlowin@prefecthq', 'madkinsz@prefect', 'peytonrunyan', 'pleek91', 'stackoverfloweth', 'tpdorsey@prefect.io', 'zangell44@prefect', 'znicholasbrown']",3,10,"['prefect', 'prefect.io', 'prefecthq']","['@PrefectHQ ', 'Prefect', 'Prefect.io']",,106.08,1372,1022,57,0,55,36,55,1370.0,2479.0,90.0,1.8,0,58.17338
-320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,11261,1674,218,Python,,"PySimpleGUI: Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs",pysimplegui,2023-02-21,2018-07-11,241,46.726141078838175,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",2023-02-19,18,"['AltoRetrato', 'Chr0nicT', 'JorjMcKie', 'MikeTheWatchGuy', 'PySimpleGUI@pysimplegui', 'cclauss@christianclauss', 'deajan@netperfect', 'jackyOO7', 'jason990420', 'mikeckennedy@talkpython']",4,10,"['christianclauss', 'netperfect', 'pysimplegui', 'talkpython']","['Christian Clauss', 'NetPerfect', 'PySimpleGUI', 'Talk Python']",,9.0,235,204,56,0,5,1,5,235.0,746.0,90.0,3.2,0,46.6065
-192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,11160,2035,182,Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2023-02-21,2019-02-23,208,53.50684931506849,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",2020-06-05,17,"['RCheese@messagg', 'abhisheksms', 'airibarne@dribiadataresearch', 'ashears', 'br3ndonland@intelliatherapeutics', 'daniel-butler', 'dmontagu@formlogic', 'ebreton@cortexia', 'jcaguirre89', 'tiangolo']",5,10,"['cortexia', 'dribiadataresearch', 'formlogic', 'intelliatherapeutics', 'messagg']","['Cortexia', 'Dribia Data Research', 'Formlogic', 'Intellia Therapeutics', 'MessAgg']",,0.0,55,19,49,33,0,1,1,55.0,40.0,90.0,0.7,0,26.05926
-1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,11126,2745,343,C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2023-02-21,2016-02-17,366,30.398907103825138,['arrow'],2023-02-21,1017,"['andygrove@nvidia', 'bkietz@voltrondata', 'jorisvandenbossche', 'kou@clear-code', 'kszucs@voltron-data/ursa-computing', 'lidavidm', 'nealrichardson', 'pitrou', 'wesm@voltrondata', 'xhochy@quantco']",5,10,"['clear-code', 'nvidia', 'quantco', 'voltron-data/ursa-computing', 'voltrondata']","['@Quantco ', '@clear-code', '@voltron-data / @ursa-computing', '@voltrondata', '@voltrondata ', 'NVIDIA']",,41.1,12762,11288,85,0,0,10,10,12762.0,30000.0,90.0,2.4,0,66.45598
-190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,11119,2708,174,Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2023-02-21,2018-04-20,252,43.998304126625214,"['deep-learning', 'graph-neural-networks']",2023-02-21,249,"['BarclayII@awsshanghai', 'Rhett-Ying', 'VoVAllen@tensorchord', 'aksnzhy', 'classicsong@amazon', 'frozenbugs@amazon', 'jermainewang@newyorkuniversity', 'mufeili@awsailabshanghai', 'yzh119@uwsampl', 'zheng-da@aws']",7,10,"['amazon', 'aws', 'awsailabshanghai', 'awsshanghai', 'newyorkuniversity', 'tensorchord', 'uwsampl']","['@tensorchord ', '@uwsampl ', 'AWS', 'AWS AI Lab Shanghai', 'AWS Shanghai', 'Amazon', 'New York University']",,14.0,600,451,59,0,9,7,9,600.0,2587.0,90.0,4.3,0,59.93821
-122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,11109,1031,135,Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2023-02-21,2017-03-04,311,35.65474552957359,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",2023-02-21,281,"['Suor', 'casperdcl', 'daavoo@iterative', 'dependabot[bot]', 'dmpetrov@iterative.ai', 'efiop@iterative', 'karajan1001', 'pared', 'pmrowla', 'skshetry']",2,10,"['iterative', 'iterative.ai']","['@iterative', '@iterative ', 'iterative.ai']",,21.83,680,495,73,0,65,72,65,680.0,1563.0,90.0,2.3,0,56.60129
-759,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,11021,1268,127,Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.",invoke-ai,2023-02-21,2022-08-17,27,408.18518518518516,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",2023-02-21,177,"['Oceanswave@baristalabs', 'blessedcoolant', 'cmdr2', 'damian0815', 'ebr@brodsky.dev', 'keturn', 'lstein@ontarioinstituteforcancerresearch', 'mauwii@ares-consulting', 'psychedelicious', 'santisbon']",4,10,"['ares-consulting', 'baristalabs', 'brodsky.dev', 'ontarioinstituteforcancerresearch']","['@ARES-Consulting', '@BaristaLabs ', 'Ontario Institute for Cancer Research', 'brodsky.dev']",,47.02,1130,713,6,0,14,176,14,1130.0,3239.0,90.0,2.9,0,53.57946
-79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10859,4598,344,Python,https://scipy.org,SciPy library main repository,scipy,2023-02-21,2011-03-09,624,17.40224358974359,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",2023-02-20,1425,"['WarrenWeckesser', 'alexbrc', 'andyfaff', 'cournape@mercarijp', 'ev-br', 'mdhaber', 'pv', 'rgommers@quansight', 'teoliphant@quansight,openteams', 'tylerjereddy@lanl']",4,10,"['lanl', 'mercarijp', 'quansight', 'quansight,openteams']","['LANL', 'Mercari JP', 'Quansight', 'Quansight, OpenTeams']",,29.85,1113,685,146,0,12,13,12,1114.0,3048.0,90.0,2.7,0,65.04859
-218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10785,1072,325,C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2023-02-21,2013-04-01,516,20.889596015495297,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",2022-10-27,82,"['LTLA@genentech', 'ReneHollander@google', 'berkerpeksag', 'chdsbd', 'eddelbuettel', 'erikbern', 'novoselrok', 'psobot@spotify', 'starius', 'tjrileywisc']",3,10,"['genentech', 'google', 'spotify']","['@Genentech', '@spotify', 'Google']",,0.12,15,7,120,4,1,3,1,15.0,34.0,90.0,2.3,0,36.6723
-11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10752,1595,215,Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2023-02-21,2015-01-04,424,25.332884550656345,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",2023-02-20,577,"['TomAugspurger@microsoft', 'cowlicks', 'jakirkham', 'jcrist@voltrondata', 'jrbourbeau@coiled', 'jsignell@azavea', 'martindurant@anaconda', 'mrocklin@coiled', 'rjzamora@nvidia', 'sinhrks']",6,10,"['anaconda', 'azavea', 'coiled', 'microsoft', 'nvidia', 'voltrondata']","['@NVIDIA', '@azavea', '@coiled ', '@microsoft', '@voltrondata', 'Anaconda, inc.']",,10.5,377,210,99,0,0,32,32,377.0,785.0,90.0,2.1,0,61.04973
-780,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,10685,2095,117,Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2023-02-21,2022-05-30,38,279.0858208955224,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",2023-02-21,229,"['anton-l@huggingface', 'daspartho', 'kashif', 'natolambert', 'patil-suraj@huggingface', 'patrickvonplaten', 'pcuenca', 'sayakpaul@huggingface', 'shirayu@megagonlabs', 'williamberman']",2,10,"['huggingface', 'megagonlabs']","['@huggingface', '@megagonlabs', 'Hugging Face', 'Huggingface']",,32.5,1324,1064,9,0,29,46,29,1324.0,4777.0,90.0,3.6,0,54.17807
-857,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10616,1930,1721,JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2023-02-21,2015-12-15,375,28.2985529322163,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",2023-02-19,216,"['1chandu', 'Pessimistress', 'ajduberstein', 'alasarr@carto', 'felixpalmer', 'georgios-uber@uber', 'gnavvy@metaplatforms', 'heshan0131', 'ibgreen@foursquare', 'jianhuang01']",4,10,"['carto', 'foursquare', 'metaplatforms', 'uber']","['Carto', 'Foursquare', 'Meta Platforms, Inc.', 'Uber']",,6.92,196,151,88,0,56,73,56,196.0,269.0,90.0,1.4,0,54.00901
-72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10535,1983,216,Python,https://python-pillow.org,Pillow: Python Imaging Library (Fork),python-pillow,2023-02-21,2012-07-24,552,19.080206985769728,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",2023-02-21,427,"['DWesl', 'aclark4life@aclark.net', 'cgohlke', 'homm@uploadcare', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'mergify[bot]', 'nulano', 'radarhere', 'wiredfool']",4,10,"['aclark.net', 'nordsoftware', 'pioneervalleybooks', 'uploadcare']","['ACLARK.NET, LLC', 'Nord Software', 'Pioneer Valley Books', 'Uploadcare']",,18.71,311,246,129,0,5,8,5,311.0,590.0,90.0,1.9,0,56.96283
-173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,10494,424,67,Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2023-02-21,2019-12-24,165,63.54498269896194,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",2023-02-21,32,"['IamCathal', 'briancohan@pbdtools', 'cgabard@papernest', 'dependabot[bot]', 'mariacamilagl', 'mrcartoonster@lofidynamics', 'pre-commit-ci[bot]', 'theMarix@blueyondergmbh', 'tiangolo', 'victorphoenix3@bloomberg']",5,10,"['bloomberg', 'blueyondergmbh', 'lofidynamics', 'papernest', 'pbdtools']","['@bloomberg', '@papernest ', 'Blue Yonder GmbH', 'PBD Tools LLC', 'lofi dynamics LLC']",,2.83,127,35,38,0,6,8,6,127.0,194.0,90.0,1.5,0,42.91079
-110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10436,1704,270,JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2023-02-21,2016-03-15,362,28.817357001972386,[],2021-07-29,62,"['aikramer2@system1', 'desilinguist@educationaltestingservice', 'dhimmel@related-sciences', 'dyanni3', 'echo66', 'elacx', 'jamesmyatt@capgeminiengineering', 'marcotcr', 'nicolewhite', 'sokollip']",4,10,"['capgeminiengineering', 'educationaltestingservice', 'related-sciences', 'system1']","['@related-sciences', 'Capgemini Engineering', 'Educational Testing Service', 'System1']",,0.0,16,4,84,19,0,3,3,16.0,12.0,90.0,0.8,0,30.92784
-427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10436,1918,149,Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2023-02-21,2020-05-26,143,72.9061876247505,[],2023-02-07,26,"['AniKar@universityofbonn', 'DanielFennhagen', 'alexander-kirillov@facebookairesearch', 'dcyoung@scansemoffettdatadetectlabs', 'dmitryvinn@engineeringmanagerai/mlmeta', 'fatihbaltaci@ddosify', 'fmassa@facebookaireseach', 'lessw2020', 'szagoruyko@mtsai', 'zhiqwang@axera']",8,10,"['axera', 'ddosify', 'engineeringmanagerai/mlmeta', 'facebookaireseach', 'facebookairesearch', 'mtsai', 'scansemoffettdatadetectlabs', 'universityofbonn']","['@ddosify', '@scanse @MoffettData @detectlabs', 'Engineering Manager AI/ML@Meta', 'Facebook AI Reseach', 'Facebook AI Research', 'MTS AI', 'University of Bonn', 'axera']",,0.04,37,11,33,0,0,0,0,37.0,43.0,90.0,1.2,0,36.17634
-50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10370,1703,253,Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2023-02-21,2012-06-18,557,18.608049218149194,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",2023-02-20,186,"['JWarmenhoven', 'MaozGelbart', 'TomAugspurger@microsoft', 'dcgemperline', 'joelostblom@universityofbritishcolumbia', 'lukauskas', 'mwaskom', 'olgabot@bridgebioanalytics', 'phobson@coiled', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",5,10,"['bridgebioanalytics', 'coiled', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'microsoft', 'universityofbritishcolumbia']","['@BridgeBioAnalytics ', '@coiled', '@microsoft', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'University of British Columbia']",,4.92,139,117,130,0,9,3,9,139.0,281.0,90.0,2.0,0,53.51371
-166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10260,2659,405,C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2023-02-21,2011-04-12,619,16.57129672358099,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",2022-09-25,299,"['BlGene', 'NiranthS', 'YunfeiBai', 'benelot@idsc.io', 'erwincoumans', 'fuchuyuan', 'jyc-n', 'lunkhound', 'nicolaichuk', 'xhan0619@ucla']",2,10,"['idsc.io', 'ucla']","['IDSC.io', 'UCLA']",,0.87,44,12,144,5,2,2,2,44.0,40.0,90.0,0.9,0,38.66676
-60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,ydata-profiling,10206,1437,150,Python,https://ydata-profiling.ydata.ai,ydata-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2023-02-21,2016-01-09,371,27.46712802768166,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",2023-01-30,108,"['JosPolfliet@metamaze', 'alexbarros', 'aquemy@ydataai', 'dependabot-preview[bot]', 'dependabot[bot]', 'fabclmnt@ydataai', 'loopyme@cqu-ai', 'romainx', 'sbrugman', 'vascoalramos@ydataai']",3,10,"['cqu-ai', 'metamaze', 'ydataai']","['@CQU-AI ', '@Metamaze', '@ydataai', '@ydataai ']",,4.96,142,96,87,1,9,26,9,142.0,167.0,90.0,1.2,0,46.12641
-536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,10133,279,52,Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2023-02-21,2022-04-08,45,221.659375,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",2023-02-16,22,"['chaimhaas@bloomberg', 'dependabot[bot]', 'godlygeek', 'lkollar@bloomberg', 'matthiasdiener@researchscientistuiuc-pplillinois-ceesd', 'pablogsal@bloomberg', 'pradyunsg@bloombergpythoninfrastructure', 'q-posev@qubitpharmaceuticals', 'tal66', 'tonybaloney@microsoft']",5,10,"['bloomberg', 'bloombergpythoninfrastructure', 'microsoft', 'qubitpharmaceuticals', 'researchscientistuiuc-pplillinois-ceesd']","['@Bloomberg', '@bloomberg', '@bloomberg Python Infrastructure', 'Microsoft', 'Qubit Pharmaceuticals', 'Research Scientist @UIUC-PPL @illinois-ceesd']",,7.46,68,51,11,0,11,14,11,68.0,85.0,90.0,1.2,0,40.61836
-805,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,10079,666,112,Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2023-02-21,2019-04-04,202,49.68521126760563,"['python', 'http', 'trio', 'asyncio']",2023-02-15,186,"['JayH5@yelp', 'Kludex@encode', 'adriangb', 'cdeler@amazon', 'dependabot[bot]', 'florimondmanca', 'j178', 'jcugat', 'sethmlarson@elastic', 'tomchristie@encodeoss']",5,10,"['amazon', 'elastic', 'encode', 'encodeoss', 'yelp']","['@elastic', '@encode', 'Amazon', 'Encode OSS', 'Yelp']",,3.04,118,95,47,0,4,20,4,118.0,179.0,90.0,1.5,0,48.32943
-87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,10062,3854,285,Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2023-02-20,2010-04-30,668,15.046784875026704,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",2023-02-21,1200,"['Upabjojr', 'asmeurer@quansight', 'certik@gsitechnology', 'jksuom', 'mattpap', 'oscarbenjamin', 'oscargus', 'skirpichev', 'smichr', 'sylee957']",2,10,"['gsitechnology', 'quansight']","['@Quansight ', 'GSI Technology']",,41.6,632,354,156,0,7,7,7,632.0,2771.0,90.0,4.4,0,62.50988
-645,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,10045,1861,232,Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2023-02-21,2011-11-23,587,17.11243611584327,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",2023-02-19,446,"['Legorooj', 'bjones1@mississippistateuniversity', 'bwoodsend', 'codewarrior0', 'htgoebel', 'matysek', 'naufraghi@develersrl', 'pyup-bot@pyupio', 'rasky@develers.r.l.', 'rokm']",4,10,"['develers.r.l.', 'develersrl', 'mississippistateuniversity', 'pyupio']","['@develersrl', '@pyupio', 'Develer S.r.l.', 'Mississippi State University']",,7.08,280,249,137,0,13,5,13,280.0,365.0,90.0,1.3,0,56.02904
-24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,10018,1339,442,Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2023-02-20,2018-07-26,238,41.94138755980861,"['rl', 'ml', 'ai', 'google', 'tensorflow']",2022-11-28,15,"['agarwl@google', 'avassalotti@google', 'btaba', 'cwhsu-google@google', 'evcu@google', 'jingconan@storytell.ai', 'joshgreaves@google', 'psc-g@google', 'smoitra-g@googlebrain', 'tlwillke']",3,10,"['google', 'googlebrain', 'storytell.ai']","['@google', '@google ', 'Google', 'Google Brain', 'Google LLC', 'Storytell.ai']",,0.37,1,0,56,3,0,0,0,1.0,3.0,90.0,3.0,0,27.87535
-71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9827,2254,194,Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2023-02-21,2015-06-15,401,24.48878604485582,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",2023-02-18,854,"['RonnyPfannschmidt@redhatinsights', 'The-Compiler@bruhinsoftware', 'asottile', 'benjaminp', 'bluetech', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'flub', 'hpk42@merlinux', 'nicoddemus@esss']",5,10,"['bruhinsoftware', 'esss', 'freelancer,upforhire', 'merlinux', 'redhatinsights']","['@RedHatInsights ', 'Bruhin Software', 'ESSS', 'Freelancer, up for hire', 'merlinux']",,6.25,251,167,94,0,6,23,6,251.0,424.0,90.0,1.7,0,57.03065
-412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9809,705,90,Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2023-02-21,2014-03-13,466,21.010709914320685,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",2023-02-21,147,"['DanielChabrowski', 'asottile', 'chriskuehl@yelp', 'geieredgar', 'georgeyk', 'lorenzwalthert@ponte-energy-partners', 'pre-commit-ci[bot]', 'scop@upcloudltd', 'struys@twitter', 'tdeo@pennylane-hq']",5,10,"['pennylane-hq', 'ponte-energy-partners', 'twitter', 'upcloudltd', 'yelp']","['@UpCloudLtd ', '@Yelp', '@pennylane-hq ', '@ponte-energy-partners', 'Twitter']",,3.27,192,185,109,0,10,20,10,192.0,333.0,90.0,1.7,0,52.33644
-22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9806,1992,289,Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2023-02-20,2017-04-24,304,32.226291079812206,[],2023-02-17,204,"['EricMichaelSmith', 'JackUrb', 'alexholdenmiller@facebookresearch', 'emilydinan@facebookairesearch', 'jaseweston', 'klshuster', 'samhumeau@nabla', 'stephenroller', 'uralik', 'yf225']",3,10,"['facebookairesearch', 'facebookresearch', 'nabla']","['@facebookresearch ', '@nabla', 'Facebook AI Research']",,4.4,107,81,71,0,3,6,3,107.0,161.0,90.0,1.5,0,47.50863
-38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9789,4013,321,Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2023-02-21,2015-04-09,410,23.82579972183588,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",2023-02-20,623,"['Carreau@quansight-labs', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'gnestor@hammiesshorts', 'ivanov', 'jasongrout@databricks', 'jdfreder@google', 'jtpio@quantstack', 'minrk@simularesearchlaboratory', 'takluyver']",8,10,"['amazonwebservices', 'databricks', 'google', 'hammiesshorts', 'quansight-labs', 'quantstack', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@QuantStack', '@databricks', '@google ', 'Amazon Web Services', 'Hammies Shorts', 'Simula Research Laboratory', 'University of California, Berkeley.']",,8.58,153,99,96,0,21,38,21,153.0,321.0,90.0,2.1,0,60.60717
-653,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9748,346,111,Rust,,py-spy: Sampling profiler for Python programs,benfred,2023-02-21,2018-08-01,238,40.95798319327731,"['profiler', 'python', 'performance-analysis', 'profiling']",2022-12-09,31,"['Jongy', 'adamchainz@django,djangolondon', 'akhramov', 'benfred@nvidia', 'dependabot[bot]', 'github-actions[bot]', 'jarus@sap', 'kxepal', 'marcstreeter', 'messense']",3,10,"['django,djangolondon', 'nvidia', 'sap']","['@SAP ', '@django, @djangolondon', '@nvidia']",,0.52,31,11,56,2,3,7,3,31.0,25.0,90.0,0.8,0,33.3898
-517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,9743,810,90,Python,,pyright: Static type checker for Python,microsoft,2023-02-21,2019-03-12,206,47.26334026334026,[],2023-02-21,86,"['PylanceBot', 'bschnurr@microsoft', 'cdce8p', 'debonte@microsoft', 'dependabot[bot]', 'erictraut@microsoftcorp.', 'heejaechang@microsoft', 'jakebailey@microsoft', 'msfterictraut@microsoft', 'rchiodo@microsoft']",2,10,"['microsoft', 'microsoftcorp.']","['@Microsoft ', 'Microsoft', 'Microsoft Corp.']",,21.23,425,410,48,0,71,95,71,425.0,1138.0,90.0,2.7,0,52.32759
-315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9684,510,139,C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2023-02-21,2020-05-28,142,67.788,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",2023-02-14,56,"['CodeCox', 'DataExplorerUser', 'JMatthysen@benoitpremiumthreading', 'Jah-On', 'Mstpyt', 'Pcothren@benoitpremiumthreading', 'hoffstadt@metecs', 'iFreilicht', 'liu-kan@wbg,cas', 'v-ein']",3,10,"['benoitpremiumthreading', 'metecs', 'wbg,cas']","['Benoit Premium Threading', 'Metecs', 'WBG, CAS']",,2.56,186,134,33,0,7,8,7,186.0,192.0,90.0,1.0,0,42.43637
-225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9631,626,126,Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2023-02-20,2018-02-23,260,36.94082191780822,"['python', 'webassembly']",2023-02-20,164,"['casatir@éducationnationale', 'dalcde', 'henryiii@princetonuniversity', 'hoodmane@mitmathdepartment', 'mdboom@microsoft', 'msabramo@adobe', 'pre-commit-ci[bot]', 'rth', 'ryanking13', 'wlach@voltus']",6,10,"['adobe', 'microsoft', 'mitmathdepartment', 'princetonuniversity', 'voltus', 'éducationnationale']","['@adobe', 'MIT Math Department', 'Microsoft', 'Princeton University', 'Voltus, Inc.', 'Éducation Nationale']",,15.6,345,257,61,0,16,13,16,345.0,622.0,90.0,1.8,0,55.85916
-142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,9457,1858,120,Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2023-02-21,2019-07-24,187,50.57219251336898,[],2023-01-26,107,"['ArzelaAscoIi@developerdeepset-ai', 'NimaBoscarino@huggingface', 'PhilipMay@telekom', 'andrewkittredge@calcbench', 'cpcdoy', 'fros1y', 'kwang2049', 'nreimers@huggingface', 'osanseviero@huggingface', 'sidhantls']",4,10,"['calcbench', 'developerdeepset-ai', 'huggingface', 'telekom']","['@telekom', 'Calcbench', 'Developer @deepset-ai', 'Hugging Face', 'Huggingface', 'huggingface']",,1.63,134,29,44,1,2,9,2,134.0,141.0,90.0,1.1,0,40.96096
-238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9406,405,123,Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2023-02-21,2021-08-24,78,120.3692870201097,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",2023-02-21,54,"['Batalex', 'alucarddelta', 'aminalaee', 'andrewbolster@farsetlabswhitehatsec', 'byrman', 'chrisgoddard@pdi', 'chriswhite199', 'dependabot[bot]', 'jalvaradosegura', 'tiangolo']",2,10,"['farsetlabswhitehatsec', 'pdi']","['@FarsetLabs @WhiteHatSec', 'PDI']",,2.94,103,27,18,0,2,5,2,103.0,194.0,90.0,1.9,0,38.00588
-155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9406,1377,325,Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2023-02-21,2018-03-30,255,36.783240223463686,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",2022-12-20,21,"['BBerastegui', 'alessaba', 'connorskees', 'fabaff', 'joeyliechty@bloomreach', 'neutrinoguy', 'oXis', 's0md3v', 'sirfoga', 'snehm@na']",2,10,"['bloomreach', 'na']","['Bloomreach', 'NA']",,0.04,3,0,60,2,0,4,4,3.0,1.0,90.0,0.3,0,26.32857
-655,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9186,537,226,Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2023-02-21,2015-11-08,380,24.146451370634622,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",2023-01-15,56,"['1st1@edgedb', 'Jackenmen', 'asvetlov@neu.ro', 'cclauss@christianclauss', 'claws', 'elprans@edgedb', 'fantix@edgedb', 'graingert', 'jensbjorgensen', 'jlaine']",3,10,"['christianclauss', 'edgedb', 'neu.ro']","['@edgedb', 'Christian Clauss', 'EdgeDB Inc.', 'Neu.ro']",,0.6,12,3,89,1,1,11,1,12.0,21.0,90.0,1.8,0,36.44397
-371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,9068,440,74,Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2023-02-19,2021-03-05,102,88.28372739916551,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",2023-02-15,15,"['CharbelAD', 'G21-Goose', 'JonFreer', 'TheJokersThief', 'chrieke@up42', 'kinow@barcelonasupercomputingcenter', 'marceloprates', 'matthewfeickert@universityofwisconsin-madison', 'mfbehrens99', 'sacovo@studentfhnw']",4,10,"['barcelonasupercomputingcenter', 'studentfhnw', 'universityofwisconsin-madison', 'up42']","['@up42', 'Barcelona Supercomputing Center', 'University of Wisconsin-Madison', 'student@FHNW']",,0.83,9,3,24,0,1,9,1,9.0,17.0,90.0,1.9,0,32.7836
-157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,9065,1539,250,Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2023-02-21,2010-10-17,644,14.066725781423187,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",2023-02-07,304,"['ThiefMaster@cern/indico', 'amy-lei', 'birkenfeld@fzjülich', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'tux21b', 'untitaker@getsentry']",4,10,"['cern/indico', 'fzjülich', 'getsentry', 'sentry']","['@getsentry ', 'CERN / @indico ', 'FZ Jülich', 'Sentry']",,1.29,66,51,150,0,3,4,3,66.0,43.0,90.0,0.7,0,47.23291
-398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,9018,901,267,Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2023-02-21,2012-12-06,532,16.92386058981233,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest']",2023-01-18,196,"['CaselIT', 'fxfitz@centurylink', 'jmvrbanac@liquidweb', 'kgriffs', 'lichray@broadcom', 'myusko', 'painterjd@.', 'santeyio', 'steven-upside', 'vytas7']",4,10,"['.', 'broadcom', 'centurylink', 'liquidweb']","['.', '@liquidweb', 'Broadcom Inc.', 'CenturyLink']",,1.06,48,19,124,1,8,7,8,48.0,47.0,90.0,1.0,0,45.40573
-126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,8958,1077,146,Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2023-02-21,2020-01-23,160,55.68916518650089,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",2023-02-17,159,"['RezaYazdaniAminabadi@microsoft', 'ShadenSmith@microsoft', 'awan-10@microsoft', 'cli99@microsoft', 'conglongli@microsoft', 'jeffra@microsoft', 'mrwyattii', 'samyam', 'stas00@stasosphereonline/huggingface', 'tjruwase']",2,10,"['microsoft', 'stasosphereonline/huggingface']","['@microsoft', '@microsoft ', 'Microsoft', 'Stasosphere Online Inc. / HuggingFace Inc.']",,9.04,449,277,38,0,17,18,17,449.0,840.0,90.0,1.9,0,50.10762
-523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,8951,772,123,Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2023-02-21,2022-04-07,45,195.1931464174455,"['artificial-intelligence', 'deep-learning', 'text-to-image']",2023-02-12,16,"['Conight', 'JiaHeng-DLUT', 'Light-V', 'Veldrovive', 'kashif', 'krish240574', 'lucidrains', 'nousr', 'rom1504@google', 'zaaachos']",1,10,['google'],['@google'],,11.23,18,5,11,0,334,376,334,17.0,19.0,90.0,1.1,0,33.88867
-132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8947,1516,294,Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2023-02-21,2015-11-03,381,23.474137931034484,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",2022-07-29,112,"['GJena', 'JDRomano2@universityofpennsylvania', 'PGijsbers@eindhovenuniversityoftechnology', 'TomAugspurger@microsoft', 'bartleyn@usc', 'beckernick@nvidia', 'pronojitsaha', 'rasbt@lightning-ai,universityofwisconsin-madison', 'rhiever', ""weixuanfu@children'shospitalofphiladelphia""]",7,10,"[""children'shospitalofphiladelphia"", 'eindhovenuniversityoftechnology', 'lightning-ai,universityofwisconsin-madison', 'microsoft', 'nvidia', 'universityofpennsylvania', 'usc']","['@Lightning-AI , University of Wisconsin-Madison', '@NVIDIA', '@microsoft', ""Children's Hospital of Philadelphia"", 'Eindhoven University of Technology', 'USC', 'University of Pennsylvania']",,0.35,17,3,89,7,0,4,4,17.0,13.0,90.0,0.8,0,38.03047
-244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8923,2295,297,Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2023-02-21,2016-10-10,332,26.853396388650044,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",2023-02-17,260,"['GavinZZ@aws', 'aahung@aws', 'brettstack@amazonwebservices-serverlessapplications', 'hawflau@aws', 'hoffa@aws', 'jfuss@awslambda', 'keetonian@leland', 'mndeveci', 'praneetap@aws', 'sanathkr@rarecamp']",5,10,"['amazonwebservices-serverlessapplications', 'aws', 'awslambda', 'leland', 'rarecamp']","['@AWS Lambda', '@RareCamp', '@aws', '@aws ', 'AWS', 'Amazon Web Services - Serverless Applications', 'Leland']",,7.81,470,349,78,0,18,10,18,470.0,284.0,90.0,0.6,0,54.13288
-470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,8880,1535,231,Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2023-02-21,2019-07-23,187,47.45038167938932,"['nlp', 'language-understanding', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'infoxlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'wavlm', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model']",2023-02-10,55,"['Dod-o', 'MarkWuNLP@microsoftresearch', 'addf400@harbininstituteoftechnology', 'donglixp@microsoftresearch', 'getao@microsoft', 'gitnlp', 'lockon-n', 'ranpox', 'shumingma@microsoftresearch', 'wolfshow']",3,10,"['harbininstituteoftechnology', 'microsoft', 'microsoftresearch']","['Harbin Institute of Technology', 'Microsoft', 'Microsoft Research']",,6.06,120,52,44,0,0,1,1,121.0,154.0,90.0,1.3,0,41.41346
-961,util,https://github.com/charliermarsh/ruff,,,,charliermarsh/ruff,ruff,8846,278,40,Rust,https://beta.ruff.rs,"ruff: An extremely fast Python linter, written in Rust.",charliermarsh,2023-02-21,2022-08-09,28,314.3248730964467,"['linter', 'pep8', 'python', 'python3', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'ruff']",2023-02-21,128,"['JonathanPlasse@drotek', 'akx@valohai', 'andersk@zulip', 'charliermarsh', 'colin99d', 'edgarrmondragon@meltano', 'harupy', 'not-my-profile', 'sbrugman', 'squiddy@momox']",5,10,"['drotek', 'meltano', 'momox', 'valohai', 'zulip']","['@Meltano ', '@valohai ', '@zulip', 'Drotek', 'momox']",,49.71,2307,2097,7,0,230,402,230,2313.0,4979.0,90.0,2.2,0,55.45157
-5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8788,1628,231,Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2023-02-20,2009-11-30,690,12.730960264900663,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",2023-01-26,383,"['alq666@datadog', 'benoitc@enkimultimedia', 'berkerpeksag', 'collinanderson', 'davisp', 'hramezani@crate', 'javabrett@confluentinc', 'matrixise@mgx.io', 'sirkonst', 'tilgovi@nytimes']",6,10,"['confluentinc', 'crate', 'datadog', 'enkimultimedia', 'mgx.io', 'nytimes']","['@DataDog ', '@confluentinc', '@crate ', '@nytimes', 'Enki Multimedia', 'Mgx.IO']",,0.5,99,30,161,1,0,7,7,99.0,126.0,90.0,1.3,0,49.53829
-92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8766,1030,183,Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2023-02-20,2018-12-27,216,40.42292490118577,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",2023-02-21,130,"['arnavgarg1@predibase', 'connor-mccorm', 'dantreiman@predibase', 'geoffreyangus', 'jimthompson5802', 'jppgks@predibase', 'justinxzhao', 'msaisumanth@uber', 'tgaddair@uber', 'w4nderlust']",2,10,"['predibase', 'uber']","['@Predibase', '@uber ', 'Predibase', 'Uber']",,17.62,370,311,51,0,15,9,15,371.0,524.0,90.0,1.4,0,50.24584
-134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8743,1392,306,Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2023-02-21,2017-11-19,274,31.858927641853203,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",2023-02-20,140,"['abgese', 'boyuangong', 'dependabot[bot]', 'droidadroit@texasa&muniversity', 'gabrieldemarmiesse@preligens', 'haifeng-jin@keras-teamtensorflowgooglers', 'qingquansong', 'satyakesav@texasa&muniversity,collegestation', 'taobupt', 'tl-yang']",4,10,"['keras-teamtensorflowgooglers', 'preligens', 'texasa&muniversity', 'texasa&muniversity,collegestation']","['@keras-team @tensorflow @googlers', 'Preligens', 'Texas A&M University', 'Texas A&M University, College Station']",,1.54,59,42,64,0,3,11,3,59.0,56.0,90.0,0.9,0,44.01804
-495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,8585,801,130,C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2023-02-21,2018-06-26,243,35.30846063454759,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",2023-02-21,236,"['Mause@duckdblabs', 'Mytherin@duckdblabs', 'Tishj', 'hannes@cwi', 'krlmlr@cynkra', 'lnkuiper@cwi', 'pdet@duckdblabs', 'samansmink@universityofamsterdam', 'taniabogatsch', 'tiagokepe']",4,10,"['cwi', 'cynkra', 'duckdblabs', 'universityofamsterdam']","['@cynkra ', '@duckdblabs', 'CWI', 'DuckDB Labs', 'University of Amsterdam']",,143.83,987,814,57,0,8,7,8,987.0,1819.0,90.0,1.8,0,59.11768
-151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8440,1112,270,Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2023-02-20,2013-06-30,503,16.76503972758229,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",2021-10-22,36,"['RomanYankovsky@urbaninfrastructure', 'danong@google', 'dependabot-preview[bot]', 'dependabot-support', 'evandempsey', 'jammmo', 'jeffakolb', 'jschnurr@google', 'pyup-bot@pyupio', 'sloria']",3,10,"['google', 'pyupio', 'urbaninfrastructure']","['@pyupio', '@urbaninfrastructure ', 'Google']",,0.0,11,3,117,16,0,4,4,11.0,6.0,90.0,0.5,0,28.79614
-100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8419,1595,547,Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2023-02-21,2011-05-03,616,13.664038952005564,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",2020-04-25,30,"['Xsardas1000', 'fdb@nodebox', 'frederik-elwert@ruhr-universitybochum', 'jgrivolla@universitatpompeufabra', 'kkoch986@zentail', 'markus-beuckelmann', 'napsternxg@twitter-research', 'newworldorder', 'sloria', 'tom-de-smedt']",5,10,"['nodebox', 'ruhr-universitybochum', 'twitter-research', 'universitatpompeufabra', 'zentail']","['@nodebox ', '@twitter-research ', 'Ruhr-University Bochum', 'Universitat Pompeu Fabra', 'Zentail']",,0.0,5,1,144,34,1,0,1,5.0,5.0,90.0,1.0,0,27.21469
-125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8392,592,108,Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2023-02-20,2018-06-21,243,34.41359109548916,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",2023-02-20,110,"['YarShev', 'amyskov', 'anmyachev', 'dchigarev', 'devin-petersohn@ponder', 'gshimansky@intelcorporation', 'mvashishtha@ponder.io', 'prutskov', 'vnlitvinov', 'williamma12']",3,10,"['intelcorporation', 'ponder', 'ponder.io']","['Intel Corporation', 'Ponder', 'ponder.io']",,9.25,559,371,57,0,14,14,14,559.0,572.0,90.0,1.0,0,49.96798
-815,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,8368,1050,105,Python,,Rembg is a tool to remove images background,danielgatis,2023-02-21,2020-08-10,132,63.25701943844492,"['image-processing', 'background-removal', 'python']",2022-12-28,33,"['0xflotus', 'MadMaxInfinity', 'carlogrisetti', 'cclauss@christianclauss', 'danielgatis', 'iory@japan', 'jangop@recommendy', 'jaric', 'rcrvano', 'samiede@leonardo-interactive']",4,10,"['christianclauss', 'japan', 'leonardo-interactive', 'recommendy']","['@Leonardo-Interactive ', 'Christian Clauss', 'Japan', 'Recommendy']",,1.71,75,56,31,2,16,13,16,75.0,152.0,90.0,2.0,0,40.64398
-53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8287,998,208,Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2023-02-21,2012-03-08,571,14.491381463902073,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",2023-02-20,330,"['DrTodd13@intellabs', 'esc@anaconda', 'gmarkall@nvidia', 'guilhermeleobas', 'markflorisson@mlabs', 'pitrou', 'rjenc29', 'seibert', 'sklam', 'stuartarchibald']",4,10,"['anaconda', 'intellabs', 'mlabs', 'nvidia']","['@nvidia', 'Anaconda Inc.', 'Intel Labs', 'MLabs']",,27.08,386,213,133,0,5,17,5,385.0,918.0,90.0,2.4,0,57.58023
-282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8227,640,134,Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2023-02-21,2012-11-18,535,15.365261472785486,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",2022-11-15,268,"['andrewelkins', 'anishnya@caen', 'chrishaines', 'crsmithdev', 'cyriaka90', 'jadchaar@amazon', 'krisfremen', 'ramonsaraiva@consumeraffairs', 'systemcatch', 'zcribe']",3,10,"['amazon', 'caen', 'consumeraffairs']","['@CAEN', '@ConsumerAffairs ', 'Amazon']",,0.52,8,0,125,3,0,5,5,8.0,7.0,90.0,0.9,0,38.77284
-84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,8206,2660,275,Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2023-02-21,2011-06-12,610,13.443014275684531,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",2023-02-20,407,"['ChadFulton', 'bashtage', 'j-grana6', 'jbrockmendel', 'josef-pkt', 'jseabold@hcahealthcare', 'kshedden', 'thequackdaddy', 'vincentarelbundock', 'wesm@voltrondata']",2,10,"['hcahealthcare', 'voltrondata']","['@voltrondata', 'HCA Healthcare']",,4.79,448,181,142,0,3,4,3,450.0,617.0,90.0,1.4,0,50.75221
-294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8176,1910,319,Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2023-02-21,2009-02-02,733,11.149814923046952,[],2023-02-16,179,"['alex', 'bitprophet@jumptrading', 'bz2', 'dorianpula@amberpenguinsoftware', 'jaraco@google', 'lndbrg', 'mwilliamson', 'offbyone', 'ploxiln@healthbyro', 'scottkmaxwell@codecobblers,inc']",5,10,"['amberpenguinsoftware', 'codecobblers,inc', 'google', 'healthbyro', 'jumptrading']","['@HealthByRo ', '@jumptrading', 'Amber Penguin Software', 'Code Cobblers, Inc', 'Google']",,3.42,97,35,171,0,0,13,13,97.0,187.0,90.0,1.9,0,52.3012
-116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,8114,764,104,Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2023-02-21,2019-04-18,200,40.39687055476529,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",2023-02-21,185,"['921kiyo', 'AntonyMilneQB', 'DmitriiDeriabinQB@quantumblack', 'andrii-ivaniuk', 'deepyaman@foundingmleclaypotai', 'idanov@quantumblack', 'limdauto', 'lorenabalan@softwareengineeratquantumblacklabs', 'merelcht@quantumblack', 'yetudada@quantumblack']",3,10,"['foundingmleclaypotai', 'quantumblack', 'softwareengineeratquantumblacklabs']","['@quantumblack', '@quantumblack ', 'Founding MLE @claypotai', 'QuantumBlack', 'Software Engineer at @quantumblacklabs ']",,6.71,421,233,47,0,7,9,7,420.0,464.0,90.0,1.1,0,49.01443
-773,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,8112,717,64,Python,https://lama-cleaner-docs.vercel.app/,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2023-02-21,2021-11-15,66,122.37931034482759,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",2023-02-19,12,"['BedirYilmaz@tiermobility', 'LinuxSuRen@opensource-f2f', 'Niek@nivademab.v.', 'Sanster', 'blessedcoolant', 'callmepantoine', 'davidbejarcaceres', 'eltociear@bandism', 'fiskbil', 'loretoparisi@musixmatchdev']",5,10,"['bandism', 'musixmatchdev', 'nivademab.v.', 'opensource-f2f', 'tiermobility']","['@Musixmatchdev ', '@bandism ', '@opensource-f2f', 'Nivadema B.V.', 'Tier Mobility']",,7.83,88,70,15,0,42,36,42,88.0,150.0,90.0,1.7,0,42.52804
-706,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,8096,1891,173,C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2023-02-21,2016-12-02,324,24.932688077430708,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",2023-02-20,183,"['benjaminum', 'errissa', 'griegler', 'prewettg', 'qianyizh@formatechnologies', 'reyanshsolis@agv-iit-kgpacr-iitkgp', 'ssheorey@intelisl', 'syncle@postech', 'takanokage', 'yxlao@hku-cs']",5,10,"['agv-iit-kgpacr-iitkgp', 'formatechnologies', 'hku-cs', 'intelisl', 'postech']","['@AGV-IIT-KGP @acr-iitkgp ', 'Forma Technologies', 'HKU-CS', 'Intel ISL', 'POSTECH']",,4.02,352,193,76,0,1,4,1,352.0,496.0,90.0,1.4,0,49.24217
-128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,8056,715,147,Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2023-02-21,2015-09-19,387,20.785845927018062,[],2023-02-19,150,"['ChristopherDavisUCI@ucirvine', 'afonit', 'binste', 'domoritz@cmu,apple', 'eitanlees', 'ellisonbg@amazonwebservices', 'jakevdp@google', 'joelostblom@universityofbritishcolumbia', 'mattijn', 'palewire@reuters']",6,10,"['amazonwebservices', 'cmu,apple', 'google', 'reuters', 'ucirvine', 'universityofbritishcolumbia']","['Amazon Web Services', 'CMU, Apple', 'Google', 'Reuters', 'UC Irvine', 'University of British Columbia']",,4.21,269,199,90,0,2,4,2,270.0,768.0,90.0,2.8,0,52.43499
-758,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,8018,321,77,JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2023-02-21,2022-09-06,24,332.1065088757396,"['electron-app', 'macos', 'stable-diffusion']",2023-02-13,16,"['AEtheve', 'CrudeDiatribe', 'EthanMcKanna', 'Iktwo', 'Itangalo', 'divamgupta', 'lachlanjc@watershed-climate', 'piotrski@noaignite', 'trebor', 'w3cdotorg']",2,10,"['noaignite', 'watershed-climate']","['@watershed-climate', 'NoA Ignite']",,3.9,96,11,6,0,14,30,14,96.0,207.0,90.0,2.2,0,35.34106
-29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,7998,1233,71,Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2023-02-21,2017-09-11,284,28.133668341708542,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",2023-02-18,368,"['Aylr', 'NathanFarmer@gxlabs', 'Shinnnyshinshin@superconductive', 'abegong@superconductive', 'alexsherstinsky', 'anthonyburdi@gxlabs', 'cdkini', 'eugmandel@superconductive', 'jcampbell', 'roblim']",2,10,"['gxlabs', 'superconductive']","['GX Labs', 'Superconductive', 'Superconductive ']",,40.6,952,841,66,0,55,41,55,953.0,1848.0,90.0,1.9,0,58.17139
-394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7905,715,112,Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2023-02-21,2018-06-25,243,32.49266001174398,"['python', 'async', 'websockets', 'http']",2023-02-20,224,"['JayH5@yelp', 'Kludex@encode', 'adriangb', 'aminalaee', 'blueyed@freelancer,upforhire', 'dependabot[bot]', 'florimondmanca', 'graingert', 'tiangolo', 'tomchristie@encodeoss']",4,10,"['encode', 'encodeoss', 'freelancer,upforhire', 'yelp']","['@encode', 'Encode OSS', 'Freelancer, up for hire', 'Yelp']",,3.46,113,86,57,0,13,27,13,113.0,245.0,90.0,2.2,0,51.36611
-7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7900,1721,238,Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2023-02-20,2014-10-03,437,18.048302872062663,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",2023-02-20,140,"['JordonPhillips@amazonwebservices', 'aws-sdk-python-automation', 'awstools', 'danielgtaylor@istreamplanet', 'jamesls', 'joguSD', 'kyleknap@amazonwebservices', 'nateprewitt@amazonwebservices', 'rayluo@microsoft', 'shepazon@aws']",4,10,"['amazonwebservices', 'aws', 'istreamplanet', 'microsoft']","['@AWS', 'Amazon Web Services', 'Microsoft', 'iStreamPlanet']",,10.04,180,140,102,0,0,149,149,178.0,348.0,90.0,2.0,0,54.57842
-951,web,https://github.com/bottlepy/bottle,,,,bottlepy/bottle,bottle,7900,1444,313,Python,http://bottlepy.org/,bottle.py is a fast and simple micro-framework for python web-applications.,bottlepy,2023-02-21,2009-06-30,712,11.093279839518555,"['python', 'wsgi', 'rest', 'web-framework', 'bottle']",2022-09-05,227,"['defnull@gwdggöttingen', 'eric-wieser@universityofcambridge', 'fredj@camptocamp', 'hartwork', 'iurisilvio@buser', 'michael-k', 'myzhan@alibaba-inc', 'oz123@spectrocloud', 'sc68cal', 'sgala@redhat']",7,10,"['alibaba-inc', 'buser', 'camptocamp', 'gwdggöttingen', 'redhat', 'spectrocloud', 'universityofcambridge']","['@camptocamp', 'Alibaba-inc', 'Buser', 'GWDG Göttingen', 'Red Hat', 'Spectro Cloud', 'University of Cambridge']",,0.29,14,6,166,6,0,6,6,14.0,8.0,90.0,0.6,0,41.30719
-367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7875,1903,72,Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2023-02-21,2021-07-17,83,94.23076923076923,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",2023-02-16,69,"['DefTruth@paddlepaddle', 'FateScript@megvii-basedetection', 'GOATmessi7', 'Joker316701882@megviibasedetection', 'ankandrew', 'developer0hye@markany', 'ianpundar@wuhanuniversity', 'manangoel99@wandb', 'wwqgtxx', 'yancie-yjr@hust']",7,10,"['hust', 'markany', 'megvii-basedetection', 'megviibasedetection', 'paddlepaddle', 'wandb', 'wuhanuniversity']","['@Megvii-BaseDetection ', '@PaddlePaddle', '@wandb ', 'HUST', 'MarkAny', 'Megvii BaseDetection', 'Wuhan University']",,0.79,99,51,19,0,1,3,1,99.0,122.0,90.0,1.2,0,40.77119
-970,study,https://github.com/openai/spinningup,,,,openai/spinningup,spinningup,7852,1838,217,Python,https://spinningup.openai.com/,spinningup: An educational resource to help anyone learn deep reinforcement learning.,openai,2023-02-21,2018-11-07,224,35.05357142857143,[],2020-02-07,25,"['albertwujj', 'allanbreyes', 'alok', 'bchess@openai', 'christopherhesse@openai', 'jachiam', 'maksay', 'marko-bast', 'mimoralea', 'rootulp@celestiaorg']",2,10,"['celestiaorg', 'openai']","['@celestiaorg', '@openai ', 'OpenAI']",,0.0,10,4,52,37,0,1,1,10.0,6.0,90.0,0.6,0,21.20581
-422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7795,962,201,Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2023-02-21,2017-06-16,296,26.271064034665383,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",2023-02-03,134,"['eb8680', 'fehiepsi@google', 'fritzo@generatebiomedicines', 'jpchen@facebook', 'karalets', 'martinjankowiak', 'neerajprad@meta', 'null-a', 'ordabayevy@broadinstitute', 'stefanwebb']",5,10,"['broadinstitute', 'facebook', 'generatebiomedicines', 'google', 'meta']","['@facebook', 'Broad Institute', 'Generate Biomedicines', 'Google', 'Meta']",,1.37,30,23,69,1,4,6,4,30.0,64.0,90.0,2.1,0,44.77261
-615,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7777,2076,474,Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2023-02-21,2014-06-27,451,17.216635041113218,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",2023-02-15,174,"['Tattoo', 'asyrjasalo', 'jrantanen@reaktor', 'jussimalinen@reaktor', 'khusa@reaktorinnovations', 'mikahanninen@robocorp', 'mkorpela@reaktor', 'pekkaklarck@eligaoy', 'spooning', 'yanne@reaktor']",4,10,"['eligaoy', 'reaktor', 'reaktorinnovations', 'robocorp']","['@reaktor ', 'Eliga Oy', 'Reaktor', 'Reaktor Innovations', 'Robocorp']",,9.48,172,91,105,0,13,15,13,172.0,294.0,90.0,1.7,0,53.2116
-440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7774,781,120,Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2023-02-20,2018-08-22,235,33.08085106382979,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",2023-02-20,204,"['HassanAlsamahi@brightskiesinc', 'ananyamukh6', 'dependabot[bot]', 'ducha-aiki@czechtechnicaluniversityinprague', 'dvd42', 'edgarriba@kornia.org', 'johnnv1', 'pre-commit-ci[bot]', 'priba@computervisioncenter', 'shijianjian@kaust']",5,10,"['brightskiesinc', 'computervisioncenter', 'czechtechnicaluniversityinprague', 'kaust', 'kornia.org']","['Brightskies Inc', 'Computer Vision Center', 'Czech Technical University in Prague', 'KAUST', 'Kornia.org']",,7.23,238,189,55,0,7,8,7,238.0,340.0,90.0,1.4,0,51.79183
-95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7770,584,141,Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2023-02-21,2014-09-27,438,17.71661237785016,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",2022-12-08,72,"['Ben-Epstein@rungalileo', 'JovanVeljanoski', 'NickCrews', 'byaminov', 'honno@quansight', 'kmcentush@cuberg', 'maartenbreddels@maartenbreddels', 'rieder@universitédegenève', 'saikiran2603@navigateconsulting', 'xdssio@xdss']",7,10,"['cuberg', 'maartenbreddels', 'navigateconsulting', 'quansight', 'rungalileo', 'universitédegenève', 'xdss']","['@Quansight', '@maartenbreddels', '@navigateconsulting ', '@rungalileo', 'Cuberg', 'Université de Genève', 'XDSS']",,3.37,88,22,102,2,0,43,43,88.0,143.0,90.0,1.6,0,48.44287
-10,util,https://github.com/cython/cython,,,,cython/cython,cython,7686,1363,232,Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2023-02-20,2010-11-21,639,12.020107238605899,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",2023-02-21,490,"['da-woods', 'dalcinl@ecrcatkaust', 'insertinterestingnamehere@utaustincsemprogram', 'jdemeyer@be-mobile', 'larsmans', 'markflorisson@mlabs', 'mattip@quansightlabs', 'robertwb', 'scoder', 'vitek']",5,10,"['be-mobile', 'ecrcatkaust', 'mlabs', 'quansightlabs', 'utaustincsemprogram']","['@ecrc at KAUST ', 'Be-Mobile', 'MLabs', 'Quansight Labs', 'UT Austin CSEM Program']",,8.21,194,116,149,0,6,15,6,195.0,399.0,90.0,2.0,0,56.51943
-547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7600,805,123,Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2023-02-21,2018-02-21,261,29.118773946360154,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",2023-02-21,227,"['HideakiImamura@preferrednetworks', 'c-bata', 'contramundum53', 'crcrpar@nvidia', 'g-votte', 'himkt', 'hvy@preferrednetworks', 'nzw0301@ibm', 'sile', 'toshihikoyanase@preferrednetworks']",3,10,"['ibm', 'nvidia', 'preferrednetworks']","['@ibm', 'NVIDIA', 'Preferred Networks', 'Preferred Networks, Inc.']",,43.5,292,231,61,0,12,11,12,292.0,750.0,90.0,2.6,0,56.08551
-322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7583,809,145,Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2023-02-21,2015-09-24,386,19.601550960118168,"['graphql', 'python', 'relay', 'framework', 'graphene']",2022-12-25,196,"['Cito@ghga-de', 'Globegitter', 'adamcharnock', 'aryaniyaps', 'dan98765@checkr', 'ekampf@twingate', 'erikwrede', 'jkimbo', 'justinrmiller@zefr-inc', 'syrusakbary@wasmerio']",5,10,"['checkr', 'ghga-de', 'twingate', 'wasmerio', 'zefr-inc']","['@Twingate ', '@ZEFR-INC ', '@ghga-de', '@wasmerio  ', 'Checkr']",,0.75,36,22,90,2,4,8,4,36.0,69.0,90.0,1.9,0,44.75897
-28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7365,765,146,Python,,Trax — Deep Learning with Clear Code and Speed,google,2023-02-21,2019-10-05,176,41.71116504854369,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",2023-02-15,78,"['SauravMaheshkar@ml-gde', 'afrozenator@google', 'hawkinsp@google', 'henrykmichalewski', 'j2i2', 'koz4k@mimuw', 'sebastianjaszczur', 'syzymon@universityofwarsaw', 'trax-robot', 'wangpengmit@mitcsail']",5,10,"['google', 'mimuw', 'mitcsail', 'ml-gde', 'universityofwarsaw']","['@ml-gde', 'Google', 'MIMUW', 'MIT CSAIL', 'University of Warsaw']",,0.4,16,6,41,0,0,5,5,16.0,8.0,90.0,0.5,0,38.82244
-650,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,7358,247,72,JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals",plasma-umass,2023-02-21,2019-12-17,166,44.2871883061049,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",2023-02-20,37,"['Birdi7', 'Insutanto', 'SnoopJ', 'cclauss@christianclauss', 'dependabot[bot]', 'emeryberger@universityofmassachusettsamherst', 'groutr@lynkertechnologies', 'jaltmayerpizzorno', 'johanvergeer@johanvergeer', 'sternj@umassamherst']",5,10,"['christianclauss', 'johanvergeer', 'lynkertechnologies', 'umassamherst', 'universityofmassachusettsamherst']","['@johanvergeer', 'Christian Clauss', 'Lynker Technologies', 'UMass Amherst', 'University of Massachusetts Amherst']",,10.12,83,50,39,0,16,12,16,83.0,138.0,90.0,1.7,0,47.03754
-165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7356,1488,125,Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2023-02-21,2018-05-09,250,29.424,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",2023-02-16,100,"['BrambleXu', 'Collinbrown95@statisticscanada', 'Hironsan', 'SwiftPredator@haustierglück.de(deprecated)', 'c-w@noom', 'cgill95@leibnizuniversitäthannover', 'dependabot[bot]', 'j-frei', 'kuraga', 'youichiro@classi']",5,10,"['classi', 'haustierglück.de(deprecated)', 'leibnizuniversitäthannover', 'noom', 'statisticscanada']","['@noom ', 'Classi', 'Haustierglück.de (deprecated)', 'Leibniz Universität Hannover', 'Statistics Canada']",,7.71,101,50,58,0,8,7,8,101.0,112.0,90.0,1.1,0,48.20806
-70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7329,1746,226,Python,https://docs.pymc.io/,pymc: Bayesian Modeling in Python,pymc-devs,2023-02-21,2009-05-05,720,10.177147391390598,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'pytensor']",2023-02-20,439,"['ColCarroll@google', 'aloctavodia@imasl-conicet', 'apatil', 'brandonwillard', 'bwengals', 'ferrine@msueconomics/skoltechcs', 'jsalvatier', 'michaelosthege@forschungszentrumjülichgmbh', 'ricardoV94', 'twiecki@pymclabs']",5,10,"['forschungszentrumjülichgmbh', 'google', 'imasl-conicet', 'msueconomics/skoltechcs', 'pymclabs']","['Forschungszentrum Jülich GmbH', 'Google', 'IMASL-CONICET', 'MSU Economics / Skoltech CS', 'PyMC Labs']",,15.73,266,177,168,0,23,5,23,266.0,651.0,90.0,2.4,0,60.46996
-455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7143,1617,466,Python,http://tensorlayerx.com,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2023-02-20,2016-06-07,350,20.400244798041616,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",2023-02-18,132,"['ChrisWu1997@columbiauniversity', 'DEKHTIARJonathan@nvidia', 'JingqingZ@imperialcollegelondon,pangaeadata', 'Laicheng0830@pengchenglab', 'lgarithm', 'luomai@universityofedinburgh', 'quantumiracle', 'wagamamaz', 'warshallrho@pekinguniversity', 'zsdonghao@pekinguniversity']",6,10,"['columbiauniversity', 'imperialcollegelondon,pangaeadata', 'nvidia', 'pekinguniversity', 'pengchenglab', 'universityofedinburgh']","['@NVIDIA', 'Columbia University', 'Imperial College London, Pangaea Data', 'Peking University', 'Peng Cheng Lab', 'University of Edinburgh']",,0.06,0,0,82,0,0,12,12,0.0,0.0,90.0,0.0,0,38.5739
-197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,7107,697,169,Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2023-02-21,2020-07-05,137,51.71413721413722,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",2022-02-25,29,"['ClashLuke', 'ConnorJL', 'Mistobaan', 'StellaAthena@boozallenhamilton', 'anishthite@clarosai', 'kevinwatkins', 'leogao2', 'lucidrains', 'sdtblck', 'srulikbd']",2,10,"['boozallenhamilton', 'clarosai']","['@ClarosAI', 'Booz Allen Hamilton']",,0.0,0,0,32,12,0,2,2,0.0,0.0,90.0,0.0,0,19.03195
-753,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,7085,644,232,Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2023-02-21,2022-09-08,23,296.9760479041916,[],2023-01-17,2,"['edvenson', 'karpathy']",0,10,[],[],,0.19,16,3,6,1,0,0,0,16.0,3.0,90.0,0.2,0,10.09209
-846,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,7079,1111,160,Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2023-02-21,2016-10-26,330,21.451515151515153,"['data-science', 'feature-extraction', 'time-series']",2022-12-31,84,"['CYHSM', 'MaxBenChrist', 'dbarbier', 'delyanr', 'earthgecko', 'jneuff', 'kempa-liehr@universityofauckland', 'nikhase', 'nils-braun', 'pnb@universityofillinoisurbana–champaign']",2,10,"['universityofauckland', 'universityofillinoisurbana–champaign']","['University of Auckland', 'University of Illinois Urbana–Champaign']",,0.31,23,14,77,0,1,5,1,23.0,42.0,90.0,1.8,0,38.4815
-286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,7078,491,100,Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2023-02-21,2017-10-23,278,25.43429158110883,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",2023-01-28,73,"['abdusco@abdusco', 'bgrins@mozilla', 'dependabot-preview[bot]', 'dependabot[bot]', 'fgregg@datamade,partner', 'jacobian@latacora', 'rgieseke', 'rixx@pretalx.com', 'russss', 'simonw@datasette']",6,10,"['abdusco', 'datamade,partner', 'datasette', 'latacora', 'mozilla', 'pretalx.com']","['@datamade, Partner', 'AbdusCo', 'Datasette', 'Latacora', 'Mozilla', 'pretalx.com']",,8.23,160,71,65,1,17,25,17,160.0,441.0,90.0,2.8,0,51.08547
-171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,6982,1067,142,Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2023-02-21,2019-10-25,173,40.192434210526315,[],2023-02-20,113,"['bottler', 'classner@epicgames', 'davidsonic@meta', 'davnov134@facebookairesearch', 'gkioxari@caltech', 'jcjohnson@universityofmichigan/fair', 'megluyagao', 'nikhilaravi', 'patricklabatut@facebook', 'shapovalov@facebookairesearch']",6,10,"['caltech', 'epicgames', 'facebook', 'facebookairesearch', 'meta', 'universityofmichigan/fair']","['Caltech', 'Epic Games', 'Facebook', 'Facebook AI Research', 'Meta', 'University of Michigan / FAIR']",,6.85,121,57,40,0,4,4,4,121.0,189.0,90.0,1.6,0,48.29862
-150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6952,1088,192,C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2023-02-21,2017-07-18,292,23.796577017114913,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",2023-02-20,1065,"['Evgueni-Petrov-aka-espetrov', 'VestniK', 'andrey-khropov@yandexnv', 'arcadia-devtools', 'frazenshtein', 'georgthegreat', 'kizill@yandex', 'orivej', 'shadchin@yandex', 'smertnik3sh']",2,10,"['yandex', 'yandexnv']","['@Yandex', 'Yandex', 'Yandex NV']",,453.54,171,62,68,0,4,15,4,171.0,204.0,90.0,1.2,0,58.09104
-382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,6939,1047,97,Python,https://haystack.deepset.ai,"haystack: :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.",deepset-ai,2023-02-21,2019-11-14,170,40.612876254180605,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'squad', 'elasticsearch', 'information-retrieval', 'summarization', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python', 'chatgpt', 'gpt-3', 'large-language-models', 'generative-ai']",2023-02-21,157,"['Timoeller@deepset', 'ZanSara@deepset-ai', 'bogdankostic@deepset-ai', 'brandenchan', 'julian-risch@deepset', 'masci@deepset-ai', 'tanaysoni', 'tholor@deepset', 'tstadel', 'vblagoje']",2,10,"['deepset', 'deepset-ai']","['@deepset-ai', '@deepset-ai ', 'deepset']",,15.85,738,496,40,0,26,15,26,738.0,1032.0,90.0,1.4,0,51.74174
-65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6914,1574,126,Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2023-02-21,2019-11-23,169,40.77337826453243,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",2023-02-20,115,"['TremaMiguel@konfio', 'Yard1@softwareengineeranyscale', 'andrinbuerli', 'batmanscode', 'daikikatsuragawa@japan', 'goodwanghan', 'moezali1@pycaret', 'ngupta23@o9solutions', 'timho102003', 'tvdboom']",5,10,"['japan', 'konfio', 'o9solutions', 'pycaret', 'softwareengineeranyscale']","['Japan', 'Konfio', 'PyCaret', 'Software Engineer @ Anyscale', 'o9 Solutions Inc.']",,19.25,314,241,40,0,4,9,4,314.0,338.0,90.0,1.1,0,49.93948
-532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6807,556,86,Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2023-02-21,2019-06-12,193,35.26943005181347,[],2023-02-07,110,"['3janeAI', 'Jasha10', 'dependabot[bot]', 'jan-matthis@google', 'jieru-hu', 'jrapin@facebookairesearch', 'odelalleau', 'omry@facebookairesearch', 'pixelb@facebook', 'shagunsodhani@facebook']",3,10,"['facebook', 'facebookairesearch', 'google']","['@facebook', 'Facebook AI Research', 'Google']",,3.77,123,80,45,0,4,6,4,123.0,168.0,90.0,1.4,0,44.81556
-82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6805,1076,92,Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2023-02-21,2018-11-27,221,30.771963824289404,"['sqlalchemy', 'sql', 'python']",2023-02-20,603,"['CaselIT', 'dianaclarke', 'empty', 'gdementen@federalplanningbureau', 'gordthompson@self-employed', 'jbellis@datastax', 'jek', 'lelit', 'pjenvey@mozilla', 'zzzeek@redhat']",5,10,"['datastax', 'federalplanningbureau', 'mozilla', 'redhat', 'self-employed']","['DataStax', 'Federal Planning Bureau', 'Mozilla', 'Red Hat', 'self-employed']",,15.02,365,286,52,0,27,65,27,367.0,1200.0,90.0,3.3,0,61.00064
-131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6746,1214,212,Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2023-02-21,2015-07-02,398,16.913323782234958,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",2022-12-07,88,"['KEggensperger@universityoftübingen', 'aaronkl@awsberlin', 'adomashnev', 'ahn1340@centerforarmyanalysisandsimulation', 'axsapronov', 'eddiebergman@automl.org', 'franchuterivera@universityoffreiburg', 'gui-miotto@uni-freiburg', 'mfeurer@albert-ludwigs-universitätfreiburg', 'stokasto']",7,10,"['albert-ludwigs-universitätfreiburg', 'automl.org', 'awsberlin', 'centerforarmyanalysisandsimulation', 'uni-freiburg', 'universityoffreiburg', 'universityoftübingen']","['AWS Berlin', 'Albert-Ludwigs-Universität Freiburg', 'Center for Army Analysis and Simulation', 'Uni-Freiburg', 'University of Freiburg', 'University of Tübingen', 'automl.org']",,2.02,38,19,93,3,2,5,2,38.0,44.0,90.0,1.2,0,42.13433
-389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6745,1233,151,Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2023-02-21,2017-10-03,281,23.991361788617887,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",2022-12-16,46,"['John-Almardeny', 'KulikDM', 'RoelBouman', 'ZainNasrullah@royalbankofcanada(rbc)', 'agoodge@nationaluniversityofsingapore', 'ingonader', 'mbongaerts@erasmusmedicalcentre', 'tam17aki', 'xhan97@universityofmacau', 'yzhao062@carnegiemellonuniversity']",5,10,"['carnegiemellonuniversity', 'erasmusmedicalcentre', 'nationaluniversityofsingapore', 'royalbankofcanada(rbc)', 'universityofmacau']","['Carnegie Mellon University', 'Erasmus Medical Centre', 'National University of Singapore', 'Royal Bank of Canada (RBC)', 'University of Macau']",,3.6,27,6,66,2,10,6,10,27.0,43.0,90.0,1.6,0,41.62461
-824,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6725,1123,392,Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2023-02-19,2019-05-03,198,33.84255930984903,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",2021-12-18,6,"['Hefeweizen', 'RF-Nelson@spotify', 'blokhin@tilde-lab', 'firmai@alanturinginstitute,firmai', 'gaulinmp@universityofutah', 'skvrahul']",4,10,"['alanturinginstitute,firmai', 'spotify', 'tilde-lab', 'universityofutah']","['@tilde-lab', 'Alan Turing Institute, FirmAI', 'Spotify', 'University of Utah']",,0.0,0,0,46,14,0,0,0,0.0,0.0,90.0,0.0,0,16.07364
-716,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6638,564,104,Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2023-02-21,2012-09-10,545,12.173434634529736,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",2023-02-20,182,"['atugushev', 'blueyed@freelancer,upforhire', 'davidovich', 'hramezani@crate', 'jdufresne@pioneervalleybooks', 'nvie@liveblocks', 'pre-commit-ci[bot]', 'richafrank@quantopian', 'vphilippon@ubisoftinc', 'webknjaz@ansiblecoreredhatofficial']",7,10,"['ansiblecoreredhatofficial', 'crate', 'freelancer,upforhire', 'liveblocks', 'pioneervalleybooks', 'quantopian', 'ubisoftinc']","['@Ansible Core @ @RedHatOfficial', '@Ubisoftinc', '@crate ', '@liveblocks', '@quantopian', 'Freelancer, up for hire', 'Pioneer Valley Books']",,2.46,117,74,127,0,11,11,11,117.0,192.0,90.0,1.6,0,53.238
-215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6603,135,50,Python,,icecream: 🍦 Never use print() to debug again.,gruns,2023-02-21,2018-02-13,262,25.188555858310625,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",2022-12-04,21,"['Akshay-Thakare@twilio', 'DominikRafacz@biogenies', 'HelinXu@pku-epic', 'alexmojaki', 'atusy@fixpoint', 'baopham', 'ehud-nym', 'gruns@https://arc.io,https://pep.dev', 'palfrey', 'ss18@kpn']",6,10,"['biogenies', 'fixpoint', 'https://arc.io,https://pep.dev', 'kpn', 'pku-epic', 'twilio']","['@BioGenies ', '@PKU-EPIC ', '@Twilio', '@kpn', 'Fixpoint INC.', 'https://arc.io, https://pep.dev']",,0.62,9,2,61,3,1,1,1,9.0,10.0,90.0,1.1,0,32.36563
-133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6590,1009,126,Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2023-02-19,2011-09-06,598,11.017434917602102,[],2021-11-29,93,"['WeichenXu123@databricks', 'birbbit', 'cclauss@christianclauss', 'dwf', 'jaberg@kindred.ai', 'marctorsoc@globality', 'marload@contxts-io', 'maxpumperla', 'temporaer@microsoft', 'yamins81']",6,10,"['christianclauss', 'contxts-io', 'databricks', 'globality', 'kindred.ai', 'microsoft']","['@Microsoft', '@contxts-io ', '@databricks', 'Christian Clauss', 'Globality', 'kindred.ai']",,0.0,23,7,140,15,0,1,1,23.0,17.0,90.0,0.7,0,34.18091
-67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6586,753,229,Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2023-02-20,2012-10-22,539,12.212450331125828,"['python', 'rest', 'flask', 'mongodb']",2022-11-10,211,"['amagdas', 'arnauorriols@denoland', 'einarhuseby', 'girogiro', 'graffic@myself', 'joshvillbrandt', 'kynan@google', 'nckpark', 'nicolaiarocci@cir2000', 'petrjasek@sourcefabric']",5,10,"['cir2000', 'denoland', 'google', 'myself', 'sourcefabric']","['@denoland ', 'CIR 2000', 'Google', 'MySelf', 'Sourcefabric']",,0.73,7,3,126,3,0,5,5,7.0,5.0,90.0,0.7,0,40.72882
-121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,6584,826,92,Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2023-02-21,2018-04-30,251,26.20125071063104,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",2023-02-17,274,"['alangenfeld@elementl', 'bengotow@foundry376', 'dpeng817@elementl', 'gibsondan', 'hellendag@elementl', 'mgasner', 'prha', 'schrockn@elementl', 'sryza@elementl', 'yuhan@elementl']",2,10,"['elementl', 'foundry376']","['Elementl', 'Foundry376']",,64.4,1933,1484,59,0,61,135,61,1932.0,4145.0,90.0,2.1,0,59.02248
-459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6555,1158,134,Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2023-02-21,2016-03-10,362,18.06496062992126,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",2023-02-20,266,"['beckjake', 'cmcarthur@fishtownanalytics', 'drewbanin@dbt-labs', 'emmyoop@dbt-labs', 'gshank', 'iknox-fa@fishtownanalytics', 'jtcohen6@dbt-labs', 'kconvey@verilylifesciences', 'leahwicz', 'nathaniel-may@dbt-labs']",3,10,"['dbt-labs', 'fishtownanalytics', 'verilylifesciences']","['@dbt-labs', '@dbt-labs ', 'Fishtown Analytics', 'Verily Life Sciences']",,10.67,1006,676,85,0,47,22,47,1006.0,1572.0,90.0,1.6,0,56.56106
-288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6533,549,67,Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2023-02-20,2013-03-10,519,12.577282728272827,"['python', 'testing', 'fuzzing', 'property-based-testing']",2023-02-17,302,"['Cheukting@anaconda', 'DRMacIver', 'Zac-HD@anthropic', 'Zalathar', 'alexwlchan@weomecollection', 'amw-zero@vts', 'honno@quansight', 'pyup-bot@pyupio', 'rsokl', 'sobolevn']",6,10,"['anaconda', 'anthropic', 'pyupio', 'quansight', 'vts', 'weomecollection']","['@Quansight', '@pyupio', '@wellcomecollection  ', 'Anaconda', 'Anthropic', 'VTS']",,14.88,85,60,121,0,101,134,101,85.0,159.0,90.0,1.9,0,58.12019
-141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6518,842,158,Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2023-02-21,2017-09-08,284,22.893125940792775,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",2023-02-19,69,"['Seth-Rothschild', 'frances-h', 'github-actions[bot]', 'gsheni@alteryx', 'kmax12', 'machineFL', 'rwedge', 'sbadithe', 'tamargrey@alteryxinnovationlabs', 'thehomebrewnerd']",2,10,"['alteryx', 'alteryxinnovationlabs']","['@alteryx', 'Alteryx Innovation Labs']",,6.04,147,117,66,0,25,28,25,147.0,101.0,90.0,0.7,0,45.57716
-230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6508,2073,113,Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2023-02-21,2015-10-30,381,17.04940119760479,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",2022-03-11,45,"['Midnighter@unseenbio', 'adamkgoldfarb', 'andrewsanchez@ankihub', 'codyrioux@netflix', 'hwartig@contentful', 'isms', 'jbrambleDC@localfoodgroup', 'liudonghs@hellosoda', 'niloch', 'pjbull@drivendata']",7,10,"['ankihub', 'contentful', 'drivendata', 'hellosoda', 'localfoodgroup', 'netflix', 'unseenbio']","['@UnseenBio', '@contentful', 'AnkiHub', 'DrivenData', 'Hello Soda', 'Local Food Group', 'Netflix']",,0.04,6,1,89,12,0,0,0,6.0,4.0,90.0,0.7,0,29.6664
-153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6428,620,81,Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2023-02-21,2013-11-10,484,13.269242111471542,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",2023-02-21,204,"['dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'lafrech@nobatek', 'mgetka', 'pyup-bot@pyupio', 'sirosen', 'sloria', 'taion', 'zblz']",2,10,"['nobatek', 'pyupio']","['@Nobatek', '@pyupio']",,1.92,55,41,113,0,0,18,18,55.0,57.0,90.0,1.0,0,47.09598
-356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6414,610,246,Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2023-02-21,2019-09-17,179,35.803827751196174,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'cli', 'high-performance-computing', 'kubernetes']",2023-02-20,64,"['akyrola@missingexponent', 'cclauss@christianclauss', 'dependabot[bot]', 'jackie-ob', 'jasonge27@netflix', 'mdneuzerling', 'oavdeev@outerbounds', 'romain-intel', 'savingoyal@outerbounds', 'valayDave']",4,10,"['christianclauss', 'missingexponent', 'netflix', 'outerbounds']","['@Outerbounds', 'Christian Clauss', 'Missing Exponent', 'Netflix']",,2.94,117,74,42,0,31,25,31,117.0,171.0,90.0,1.5,0,47.03671
-556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6401,288,63,Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2023-02-21,2018-09-22,230,27.761462205700123,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",2023-01-18,22,"['EPronovost', 'Ldpe2G@sunyat-senuniversity', 'MilesCranmer@princetonuniversity', 'adam-r-kowalski@simspace', 'arogozhnikov@aperturescience', 'boeddeker@paderbornuniversity', 'cgarciae@quansight', 'danielhavir@apple', 'ollema', 'rentainhe@idea']",8,10,"['aperturescience', 'apple', 'idea', 'paderbornuniversity', 'princetonuniversity', 'quansight', 'simspace', 'sunyat-senuniversity']","['@apple', 'Aperture Science', 'IDEA', 'Paderborn University', 'Princeton University', 'Quansight', 'Sun Yat-sen University', 'simspace']",,2.71,14,7,54,1,3,2,3,14.0,17.0,90.0,1.2,0,38.93087
-602,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6288,662,227,Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2023-02-20,2010-06-29,660,9.525210993291495,[],2017-12-20,49,"['Altonymous', 'R4wm@https://github.com/verizondigital/', 'abanna@ixsystems', 'cosmin@facebook', 'ddworken@google', 'deanmalmgren@datascopeanalytics', 'edwardmeshuris', 'nfarina@kuto', 'onyxfish@fivethirtyeight', 'richardtylee@br']",8,10,"['br', 'datascopeanalytics', 'facebook', 'fivethirtyeight', 'google', 'https://github.com/verizondigital/', 'ixsystems', 'kuto']","['@br ', '@facebook', '@fivethirtyeight', '@iXsystems ', 'Datascope Analytics', 'Google', 'Kuto', 'https://github.com/VerizonDigital/']",,0.0,1,1,154,63,0,0,0,1.0,0.0,90.0,0.0,0,24.10701
-800,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6286,1680,227,Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2023-02-21,2010-10-18,644,9.756541019955653,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",2023-02-17,468,"['DasIch@zalandose', 'EnTeQuAk@mozilla', 'RonnyPfannschmidt@redhatinsights', 'birkenfeld@fzjülich', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'mitsuhiko@sentry', 'pgjones', 'untitaker@getsentry']",6,10,"['fzjülich', 'getsentry', 'mozilla', 'redhatinsights', 'sentry', 'zalandose']","['@RedHatInsights ', '@getsentry ', 'FZ Jülich', 'Mozilla', 'Sentry', 'Zalando SE']",,2.81,82,80,150,0,7,7,7,82.0,61.0,90.0,0.7,0,52.63041
-20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6240,415,112,OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2023-02-18,2017-11-10,275,22.632124352331605,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",2023-02-17,234,"['MaggieMoss', 'arthaud@facebook', 'dkgi', 'fahndrich', 'grievejia@facebook', 'mrkmndz@facebook', 'pradeep90', 'shannonzhu', 'sinancepel', 'stroxler@metaplatforms']",2,10,"['facebook', 'metaplatforms']","['@facebook', '@facebook ', 'Facebook Inc.', 'Meta Platforms']",,48.08,23,9,64,0,2,16,2,23.0,27.0,90.0,1.2,0,46.43409
-681,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6197,848,216,Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2023-02-21,2014-11-24,430,14.402058432934927,[],2022-09-29,52,"['JasperSnoek', 'clemisch', 'dougalm@googlebrain', 'duvenaud@universityoftoronto', 'gcampanella@visa', 'j-towns@universityofamsterdam', 'kcarnold', 'mattjj@google', 'rainwoodman@loonr&d', 'yukoba']",6,10,"['google', 'googlebrain', 'loonr&d', 'universityofamsterdam', 'universityoftoronto', 'visa']","['@visa', 'Google', 'Google Brain', 'Loon R&D', 'University of Amsterdam', 'University of Toronto']",,0.08,4,1,100,5,0,0,0,4.0,3.0,90.0,0.8,0,31.6566
-410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,6176,547,84,Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2023-02-21,2017-05-31,299,20.65551839464883,"['python', 'asyncio', 'asgi', 'http', 'http-server']",2023-02-21,152,"['Kludex@encode', 'almarklein@independentsoftwareengineer', 'dependabot[bot]', 'euri10', 'florimondmanca', 'graingert', 'johnthagen', 'maximilianhurl', 'simonw@datasette', 'tomchristie@encodeoss']",4,10,"['datasette', 'encode', 'encodeoss', 'independentsoftwareengineer']","['@encode', 'Datasette', 'Encode OSS', 'Independent software engineer']",,3.42,123,96,70,0,7,25,7,123.0,283.0,90.0,2.3,0,50.04647
-879,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,6165,1028,108,Python,https://www.sktime.net,sktime: A unified framework for machine learning with time series,sktime,2023-02-21,2018-11-06,224,27.504780114722752,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",2023-02-20,235,"['MatthewMiddlehurst@universityofeastanglia', 'TonyBagnall@universityofeastanglia', 'ViktorKaz', 'aiwalter@scikit-time', 'fkiraly@gfkse,ucl,sktime', 'goastler', 'jasonlines@universityofeastanglia(uea)', 'lmmentel', 'mloning@uclalan-turing-instituteesrc-cdrc', 'sajaysurya@universitycollegelondon']",6,10,"['gfkse,ucl,sktime', 'scikit-time', 'uclalan-turing-instituteesrc-cdrc', 'universitycollegelondon', 'universityofeastanglia', 'universityofeastanglia(uea)']","['@GfKse, @UCL, @sktime', '@UCL @alan-turing-institute @ESRC-CDRC ', '@scikit-time', 'University College London', 'University of East Anglia', 'University of East Anglia (UEA)']",,18.33,530,354,52,0,18,9,18,530.0,1521.0,90.0,2.9,0,58.84311
-682,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,6148,841,76,Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2023-02-21,2021-12-20,61,100.31701631701631,[],2022-07-26,5,"['AK391@huggingface', 'ablattmann', 'crowsonkb', 'pesser@runwayml', 'rromb']",2,10,"['huggingface', 'runwayml']","['@runwayml ', 'Huggingface']",,0.44,70,15,14,7,0,0,0,70.0,101.0,90.0,1.4,0,21.0764
-73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6095,2167,164,Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2023-02-21,2013-05-09,510,11.93092841163311,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",2023-02-17,149,"['BibMartin@datartibus', 'Conengmo', 'JamesGardiner@jgardinerconsultingltd.', 'birdage@neyasystems', 'fullonic', 'halfdanrump@nowcast', 'joshuacano', 'ocefpaf', 'themiurgo@spotify', 'wrobstory@stripe']",6,10,"['datartibus', 'jgardinerconsultingltd.', 'neyasystems', 'nowcast', 'spotify', 'stripe']","['DatArtibus', 'J Gardiner Consulting Ltd.', 'Neya Systems LLC', 'Nowcast Inc.', 'Spotify', 'Stripe']",,1.9,130,109,119,0,2,2,2,130.0,203.0,90.0,1.6,0,49.57497
-537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,6089,1844,178,Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2023-02-21,2017-12-13,271,22.468634686346864,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",2023-02-20,331,"['Emrys365@shanghaijiaotonguniversity', 'Fhrozen@hitachir&d', 'ShigekiKarita', 'b-flo', 'ftshijt@carnegiemellonuniversity', 'hirofumi0810@fairatmetaai', 'kamo-naoyuki', 'kan-bayashi@nagoyauniversity', 'mergify[bot]', 'sw005320']",5,10,"['carnegiemellonuniversity', 'fairatmetaai', 'hitachir&d', 'nagoyauniversity', 'shanghaijiaotonguniversity']","['Carnegie Mellon University', 'FAIR at Meta AI', 'Hitachi R&D', 'Nagoya University', 'Shanghai Jiao Tong University']",,38.65,247,142,63,0,6,9,6,247.0,653.0,90.0,2.6,0,57.44013
-44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,6054,700,126,Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2023-02-21,2017-07-02,294,20.561863173216885,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",2023-01-30,111,"['adalmia96@microsoft', 'gclen', 'jlmelville', 'josephcourtney', 'leriomaggio@anaconda', 'lmcinnes@tutteinstituteformathematicsandcomputing', 'paxtonfitzpatrick@contextlabcosanlab', 'sleighsoft', 'timsainb@harvardmedicalschool', 'usul83@popsa-hq']",6,10,"['anaconda', 'contextlabcosanlab', 'harvardmedicalschool', 'microsoft', 'popsa-hq', 'tutteinstituteformathematicsandcomputing']","['@ContextLab @cosanlab', '@anaconda ', '@popsa-hq ', 'Harvard Medical School', 'Microsoft', 'Tutte Institute for Mathematics and Computing']",,1.06,40,16,69,1,1,5,1,40.0,60.0,90.0,1.5,0,42.18101
-599,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,6037,1125,243,Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2023-02-21,2014-05-08,458,13.156600249066003,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",2022-05-31,15,"['cclauss@christianclauss', 'domlysz', 'ericgrosso', 'kant', 'lfdebrux@alphagov', 'lobnico', 'mef@mango-information-systems', 's-leger', 'stuarta0', 'wolfgangp']",3,10,"['alphagov', 'christianclauss', 'mango-information-systems']","['@Mango-information-systems', '@alphagov', 'Christian Clauss']",,0.19,26,2,107,9,2,2,2,26.0,67.0,90.0,2.6,0,31.0254
-313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,6028,276,72,Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2023-02-21,2018-10-06,228,26.3725,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",2023-02-11,86,"['backwardspy@binkhq', 'chrahunt', 'cs01', 'dependabot[bot]', 'gaborbernat@bloomberglp', 'itsayellow', 'meowmeowmeowcat', 'pfmoore', 'spazm@lemurlabs.dev', 'uranusjr@astronomer']",4,10,"['astronomer', 'binkhq', 'bloomberglp', 'lemurlabs.dev']","['@astronomer', '@binkhq ', 'Bloomberg LP', 'LemurLabs.dev']",,0.65,59,30,53,0,1,12,1,59.0,78.0,90.0,1.3,0,40.84233
-777,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,5989,327,52,Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2023-02-21,2020-07-25,134,44.504246284501065,[],2023-01-14,24,"['1MLightyears', 'ShigekiKarita', 'ZibingZhang', 'afrozchakure@citi', 'chunibyo-wly', 'erica-w-fu', 'jianan1104', 'odashi@inspired-co', 'ryosuketc@google', 'ryxcommar']",3,10,"['citi', 'google', 'inspired-co']","['@Citi', '@google', '@inspired-co']",,1.71,60,48,31,1,3,3,3,60.0,182.0,90.0,3.0,0,38.07639
-783,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,5872,299,92,Python,,dream-textures: Stable Diffusion built-in to Blender,carson-katri,2023-02-21,2022-09-08,23,246.1317365269461,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",2023-02-15,10,"['Dekker3D', 'GottfriedHofmann@blenderdiplom', 'JasonHoku@jasonhoku', 'NullSenseStudio', 'blastframe@blastframe', 'carson-katri', 'eltociear@bandism', 'gregnr', 'playerla', 'timmyL17@adobe']",5,10,"['adobe', 'bandism', 'blastframe', 'blenderdiplom', 'jasonhoku']","['@bandism ', 'Adobe', 'Blastframe', 'BlenderDiplom', 'JasonHoku']",,2.44,191,110,6,0,10,20,10,191.0,485.0,90.0,2.5,0,38.77146
-345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5822,376,68,Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2023-02-20,2018-06-15,244,23.791009924109748,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",2023-02-21,77,"['Skylion007@facebookresearch', 'bzinberg', 'choldgraf@ucberkeley', 'chrisjsewell@imperialcollegelondon', 'dependabot[bot]', 'kiendang', 'martinRenou@quantstack', 'matthew-brett@londoninterdisciplinaryschool', 'matthewfeickert@universityofwisconsin-madison', 'mwouts']",6,10,"['facebookresearch', 'imperialcollegelondon', 'londoninterdisciplinaryschool', 'quantstack', 'ucberkeley', 'universityofwisconsin-madison']","['@QuantStack', '@facebookresearch ', 'Imperial College London', 'London Interdisciplinary School', 'UC Berkeley', 'University of Wisconsin-Madison']",,1.13,44,28,57,0,6,28,6,44.0,117.0,90.0,2.7,0,46.8101
-69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5804,1595,113,Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2023-02-21,2012-02-25,573,10.119053549190536,"['pygithub', 'python', 'github', 'github-api']",2023-02-20,295,"['akfish', 'allevin', 'enix223', 'jacquev6', 'jayfk', 'jzelinskie@authzed', 'martinqt', 's-t-e-v-e-n-k@suse', 'sfdye@zendesk', 'thialfihar']",3,10,"['authzed', 'suse', 'zendesk']","['@authzed', '@zendesk ', 'SUSE']",,0.5,115,37,134,0,3,9,3,115.0,202.0,90.0,1.8,0,47.6147
-969,ml,https://github.com/thu-ml/tianshou,,,,thu-ml/tianshou,tianshou,5768,905,83,Python,https://tianshou.readthedocs.io,tianshou: An elegant PyTorch deep reinforcement learning library.,thu-ml,2023-02-21,2018-04-16,253,22.7727016356458,"['pytorch', 'policy-gradient', 'dqn', 'double-dqn', 'a2c', 'ddpg', 'ppo', 'td3', 'sac', 'imitation-learning', 'mujoco', 'atari', 'bcq', 'library', 'rl', 'drl', 'benchmark', 'trpo', 'npg', 'cql']",2023-02-03,49,"['ChenDRAG@tsinghuauniversity', 'Markus28', 'Mehooz@hedgefund', 'Trinkle23897@openai', 'danagi', 'duburcqa', 'gogoduan@tsinghuauniversity', 'nuance1979', 'rocknamx8', 'youkaichao']",3,10,"['hedgefund', 'openai', 'tsinghuauniversity']","['@openai ', 'Hedge Fund', 'Tsinghua University']",,1.21,47,29,59,1,7,5,7,47.0,93.0,90.0,2.0,0,40.69802
-68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5740,2520,157,C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2023-02-21,2017-03-26,308,18.610467809170913,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",2023-02-21,274,"['MyreMylar', 'PeterShinners', 'Starbuck5', 'ankith26', 'charlesej', 'dlon', 'illume', 'llindstrom', 'sublimator', 'takluyver']",0,10,[],[],,5.25,283,229,72,0,4,13,4,283.0,495.0,90.0,1.7,0,43.90623
-730,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5707,1378,191,Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2023-02-21,2016-09-15,335,16.99234368353892,"['machine-learning', 'security', 'benchmarking']",2023-01-31,130,"['AlexeyKurakin', 'WindQAQ@googlers', 'carlini', 'david-berthelot', 'fartashf@universityoftoronto', 'goodfeli', 'jonasguan', 'michaelshiyu', 'npapernot@universityoftoronto', 'steverab']",2,10,"['googlers', 'universityoftoronto']","['@googlers ', 'University of Toronto']",,0.02,3,1,78,1,0,1,1,3.0,0.0,90.0,0.0,0,30.58329
-106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5696,969,147,Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2023-02-20,2016-10-23,330,17.23821876351059,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",2023-01-27,45,"['NicolasHug', 'PFGimenez@centralesupelec', 'ashtou', 'hengji-liu', 'janniks@hirosystems', 'kman0', 'lenatech', 'mahermalaeb', 'naturale0', 'timgates42@iress']",3,10,"['centralesupelec', 'hirosystems', 'iress']","['@CentraleSupelec', '@hirosystems', 'IRESS']",,0.54,23,9,77,1,0,2,2,23.0,16.0,90.0,0.7,0,35.09811
-643,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5689,356,33,Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2023-02-21,2014-09-06,441,12.883532837269492,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",2023-01-21,87,"['altendky', 'bbc2', 'greyli', 'hugochinchilla@codiumteam', 'jacobian@latacora', 'pjona', 'smsearcy', 'theskumar@fueled', 'ulyssessouza@docker', 'venthur@debianflix-tech']",5,10,"['codiumteam', 'debianflix-tech', 'docker', 'fueled', 'latacora']","['@Fueled', '@debian @flix-tech ', '@docker ', 'Codium Team', 'Latacora']",,0.77,23,13,103,1,2,5,2,23.0,19.0,90.0,0.8,0,40.29713
-723,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5688,816,137,Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2023-02-21,2018-05-31,246,23.041666666666668,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",2023-02-14,71,"['Arshiaarya', 'Tanmay-Kulkarni101', 'akelleh@barclaysib;columbia', 'allcontributors[bot]', 'amit-sharma', 'andresmor-ms', 'bloebp@amazon', 'darthtrevino@microsoft', 'kailashbuki', 'petergtz@amazonwebservices']",4,10,"['amazon', 'amazonwebservices', 'barclaysib;columbia', 'microsoft']","['@Microsoft ', 'Amazon', 'Amazon Web Services', 'Barclays IB; Columbia']",,6.23,133,89,58,0,4,3,4,133.0,337.0,90.0,2.5,0,47.76062
-910,perf,https://github.com/exaloop/codon,,,,exaloop/codon,codon,5649,187,48,C++,https://docs.exaloop.io/codon,"codon: A high-performance, zero-overhead, extensible Python compiler using LLVM",exaloop,2023-02-21,2021-09-27,73,77.08187134502924,"['python', 'compiler', 'llvm', 'high-performance', 'gpu-programming', 'parallel-programming']",2023-02-06,7,"['HarisSmajlovic@universityofvictoria', 'arshajii', 'inumanag@universityofvictoria', 'isnumanagic', 'learnforpractice', 'markhend', 'stephenberry']",1,10,['universityofvictoria'],['University of Victoria'],,1.73,140,100,17,0,5,4,5,140.0,316.0,90.0,2.3,0,32.81497
-193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5623,518,46,Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2023-02-21,2013-09-02,494,11.376011560693641,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",2023-02-26,280,"['akonsta@opennms', 'anirudnits@google', 'blueyed@freelancer,upforhire', 'gofr', 'jdufresne@pioneervalleybooks', 'mkurnikov', 'orsinium@sendcloud', 'staticdev@swisscom', 'sztamas', 'timothycrosley@stripe']",7,10,"['freelancer,upforhire', 'google', 'opennms', 'pioneervalleybooks', 'sendcloud', 'stripe', 'swisscom']","['@sendcloud', 'Freelancer, up for hire', 'Google', 'OpenNMS', 'Pioneer Valley Books', 'Stripe', 'Swisscom']",,2.31,154,121,115,0,8,15,8,154.0,168.0,90.0,1.1,0,53.34844
-538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5618,1388,136,Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2023-02-21,2019-08-05,185,30.320740169622205,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",2023-02-18,206,"['VahidooX@nvidia', 'blisc', 'chiphuyen', 'ekmb@nyu,nvidia', 'ericharper', 'okuchaiev@nvidia', 'redoctopus@nvidia', 'titu1994@nvidia', 'tkornuta-nvidia@nvidia', 'yzhang123@nvidia']",2,10,"['nvidia', 'nyu,nvidia']","['@NVIDIA', '@nvidia', 'NVIDIA', 'NYU, NVIDIA']",,18.37,671,575,43,0,13,12,13,671.0,988.0,90.0,1.5,0,51.93578
-439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5566,999,143,Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2023-02-21,2012-07-08,554,10.039165163617625,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",2022-11-14,196,"['Melevir@zipsale', 'Tomasz-Kluczkowski', 'adamgreig', 'ask@robinhoodmarkets', 'david-thorman@kloudless', 'igeorgievsky', 'jerzyk@trilab.pl', 'mher', 'pazur', 'tebeka@353solutions']",5,10,"['353solutions', 'kloudless', 'robinhoodmarkets', 'trilab.pl', 'zipsale']","['353solutions', '@robinhoodmarkets ', 'Kloudless Inc.', 'Zipsale', 'trilab.pl']",,0.27,27,4,129,3,0,2,2,27.0,28.0,90.0,1.0,0,40.47152
-784,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,5515,607,80,Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2023-02-21,2022-09-06,24,228.4319526627219,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",2022-09-21,1,['XavierXiao@universityofchicago'],1,10,['universityofchicago'],['University of Chicago'],,0.6,45,2,6,5,0,0,0,45.0,55.0,90.0,1.2,0,13.2426
-161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5483,428,44,Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2023-02-21,2017-03-24,308,17.760758907913004,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",2023-02-18,137,"['KyleGoyette', 'adrianbg', 'adrnswanberg', 'dmitryduev', 'kptkin', 'lukas@weightsandbiases', 'raubitsj', 'shawnlewis', 'tssweeney', 'vanpelt@crowdflower.com']",2,10,"['crowdflower.com', 'weightsandbiases']","['Weights and Biases', 'crowdflower.com']",,12.52,830,442,72,0,28,21,28,832.0,1626.0,90.0,2.0,0,53.35655
-511,ml,https://github.com/google/automl,,,,google/automl,automl,5477,1409,157,Jupyter Notebook,,automl: Google Brain AutoML,google,2023-02-21,2020-03-12,153,35.59795728876509,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",2023-02-15,40,"['Ely-S', 'LucasSloan@google', 'NikZak', 'Samjith888@detecttechnologies', 'fsx950223@amd', 'jcburnel', 'kartik4949', 'mingxingtan@google', 'mmaithani', 'wuhy08']",3,10,"['amd', 'detecttechnologies', 'google']","['@google', 'AMD', 'Detect Technologies', 'Google']",,0.42,10,6,36,0,0,1,1,10.0,5.0,90.0,0.5,0,32.47305
-896,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,5472,253,71,Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2023-02-21,2022-11-16,14,390.85714285714283,[],2023-02-15,15,"['JustinMeans@outtakes•voosey', 'Wanaldino', 'atiorh', 'cclauss@christianclauss', 'godly-devotion', 'kasima', 'littleowl', 'liuliu', 'nathantannar4', 'pcuenca']",2,10,"['christianclauss', 'outtakes•voosey']","['Christian Clauss', 'Outtakes • Voosey']",,0.5,132,47,3,0,2,8,2,132.0,399.0,90.0,3.0,0,31.03472
-579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5446,1303,178,Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2023-02-21,2016-08-17,340,16.01764705882353,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",2023-01-20,67,"['Drishttii', 'Duane321@lyft', 'Neoanarika@collaborative,learning,andadaptiverobots(clear)', 'ashishpapanai', 'gerdm@queenmaryuniversityoflondon', 'karalleyna', 'karm-patel@indianinstituteofscience(iisc)', 'mjsML@nvidia', 'murphyk@google', 'patel-zeel@iitgandhinagar']",7,10,"['collaborative,learning,andadaptiverobots(clear)', 'google', 'iitgandhinagar', 'indianinstituteofscience(iisc)', 'lyft', 'nvidia', 'queenmaryuniversityoflondon']","['@NVIDIA ', 'Collaborative, Learning, and Adaptive Robots (CLEAR)', 'Google', 'IIT Gandhinagar', 'Indian Institute of Science (IISc)', 'Lyft', 'Queen Mary University of London']",,9.54,8,6,79,1,1,0,1,8.0,13.0,90.0,1.6,0,43.07153
-880,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5405,597,42,Python,https://unit8co.github.io/darts/,darts: A python library for user-friendly forecasting and anomaly detection on time series.,unit8co,2023-02-20,2018-09-13,231,23.31176833025262,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning', 'anomaly-detection', 'data-science']",2023-02-21,79,"['LeoTafti', 'TheMP@unit8co', 'dennisbader', 'endrjuskr@unit8sa', 'gdevos010@episci', 'hrzn@unit8co', 'inverniz', 'madtoinou', 'pennfranc', 'tomasvanpottelbergh']",3,10,"['episci', 'unit8co', 'unit8sa']","['@unit8co ', 'EpiSci', 'Unit8 SA']",,4.25,340,210,54,0,7,8,7,340.0,572.0,90.0,1.7,0,47.21094
-932,nlp,https://github.com/lucidrains/palm-rlhf-pytorch,,,,lucidrains/palm-rlhf-pytorch,PaLM-rlhf-pytorch,5372,405,109,Python,,PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM,lucidrains,2023-02-21,2022-12-09,10,501.38666666666666,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'reinforcement-learning', 'transformers', 'human-feedback']",2023-02-15,4,"['ell-hol@orange', 'eltociear@bandism', 'hypnopump', 'lucidrains']",2,10,"['bandism', 'orange']","['@bandism ', 'Orange']",,1.83,29,20,2,0,59,359,59,29.0,94.0,90.0,3.2,0,30.726
-971,ml,https://github.com/keras-rl/keras-rl,,,,keras-rl/keras-rl,keras-rl,5372,1360,211,Python,http://keras-rl.readthedocs.io/,keras-rl: Deep Reinforcement Learning for Keras.,keras-rl,2023-02-18,2016-07-02,346,15.500412201154163,"['keras', 'tensorflow', 'theano', 'reinforcement-learning', 'neural-networks', 'machine-learning']",2019-11-11,41,"['RaphaelMeudec', 'RyanHope', 'aliostad', 'bstriner', 'jorahn@42digital', 'kashif', 'matthiasplappert', 'raj-rohan', 'raopku', 'rmst']",1,10,['42digital'],['@42DIGITAL '],,0.0,2,2,81,40,0,1,1,2.0,1.0,90.0,0.5,0,19.90157
-632,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5364,1133,120,Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2023-02-21,2013-08-07,498,10.771084337349398,"['python', 'cryptography']",2023-02-21,281,"['Ayrx', 'alex', 'dependabot[bot]', 'dreid', 'dstufft@datadog', 'lvh@latacora', 'muattiyah', 'public@purple-dot', 'pyca-boringbot[bot]', 'reaperhulk']",3,10,"['datadog', 'latacora', 'purple-dot']","['@DataDog', '@Latacora', '@purple-dot ']",,19.96,638,611,116,0,0,11,11,638.0,490.0,90.0,0.8,0,55.07288
-96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5352,597,139,Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2023-02-18,2017-08-15,288,18.574119980168568,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",2020-05-03,7,"['delirious-lettuce', 'remiadon', 'rompom', 'slotlocker2', 'vi3k6i5@meta']",1,10,['meta'],['Meta'],,0.0,3,0,67,34,0,0,0,3.0,1.0,90.0,0.3,0,12.8452
-214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,5345,1013,115,Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2023-02-21,2020-04-28,147,36.3252427184466,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",2023-02-20,196,"['30stomercury@ilcc,universityofedinburgh', 'Gastron', 'JianyuanZhong', 'TParcollet@samsung', 'flexthink', 'mravanelli@universityofmontreal', 'nauman-daw@mit', 'popcornell@marchepolytechnicuniversity', 'pplantinga@jpmorganchase', 'ycemsubakan']",6,10,"['ilcc,universityofedinburgh', 'jpmorganchase', 'marchepolytechnicuniversity', 'mit', 'samsung', 'universityofmontreal']","['@jpmorganchase', 'ILCC, University of Edinburgh', 'MIT', 'Marche Polytechnic University', 'Samsung', 'University of Montreal']",,18.54,151,82,34,0,2,3,2,151.0,377.0,90.0,2.5,0,51.72347
-471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,5343,507,57,Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2023-02-21,2021-05-18,92,57.986046511627904,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",2023-02-05,35,"['ParthJadhav@xd2sketch', 'TanmayBansode', 'greenmagenta', 'jrobchin@microsoftazure', 'jvendegna', 'mehmet-mert', 'neilbaldwin', 'piccoloser', 'ralphg6@bancodobrasil', 'saur0x']",3,10,"['bancodobrasil', 'microsoftazure', 'xd2sketch']","['@XD2Sketch ', '@bancodobrasil', 'Microsoft Azure']",,0.94,19,7,21,1,2,5,2,19.0,10.0,90.0,0.5,0,30.89819
-3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5343,698,93,Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2023-02-20,2019-07-29,186,28.68174846625767,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series', 'forecasting']",2023-02-21,100,"['FANGAreNotGnu@amazonwebservices', 'Innixma@amazonai', 'canerturkmen@awsawslabs', 'gradientsky@amazonai', 'jwmueller@cleanlab', 'shchur', 'sxjscience@amazonwebservices', 'yinweisu@amazon', 'zhanghang1989', 'zhiqiangdon@awsai']",6,10,"['amazon', 'amazonai', 'amazonwebservices', 'awsai', 'awsawslabs', 'cleanlab']","['@aws @awslabs', 'AWS AI', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'Cleanlab']",,15.88,685,541,43,0,12,7,12,683.0,1322.0,90.0,1.9,0,54.3459
-283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5336,319,64,Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2023-02-20,2016-06-27,347,15.364870423693953,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",2022-12-23,87,"['NickFabry', 'Secrus', 'altendky', 'bryanforbes@sitepen', 'erosennin', 'guyzmo', 'maedox', 'pre-commit-ci[bot]', 'redlickigrzegorz@stxnext', 'sdispater']",2,10,"['sitepen', 'stxnext']","['@stxnext', 'SitePen, Inc.']",,0.73,22,4,81,2,1,8,1,22.0,11.0,90.0,0.5,0,33.04196
-909,web,https://github.com/pynecone-io/pynecone,,,,pynecone-io/pynecone,pynecone,5300,183,54,Python,https://pynecone.io,pynecone: 🕸 Web apps in pure Python 🐍,pynecone-io,2023-02-21,2022-10-25,17,309.1666666666667,"['fullstack', 'python', 'webdev', 'framework', 'web', 'python-library', 'python3', 'open-source', 'infrastructure']",2023-02-21,30,"['Alek99@pynecone', 'ElijahAhianyo', 'FHU-yezi', 'HellAmbro@rutershok', 'Lendemor', 'PeterYusuke', 'advo-kat', 'picklelo@pynecone', 'qu3vipon@asleep-ai', 'r0b2g1t@deutschetelekomag']",4,10,"['asleep-ai', 'deutschetelekomag', 'pynecone', 'rutershok']","['@Rutershok', '@asleep-ai', 'Deutsche Telekom AG', 'Pynecone', 'Pynecone ']",,4.02,488,381,4,0,11,33,11,488.0,771.0,90.0,1.6,0,40.95055
-223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,5296,757,92,Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2023-02-21,2021-03-13,101,52.14064697609001,[],2023-01-12,23,"['AeroScripts', 'CurtisASmith', 'StellaAthena@boozallenhamilton', 'ablacklama@cardsagainsthumanity', 'cclauss@christianclauss', 'djoldman', 'kingoflolz', 'leogao2', 'narphorium', 'nostalgebraist']",3,10,"['boozallenhamilton', 'cardsagainsthumanity', 'christianclauss']","['@cardsagainsthumanity', 'Booz Allen Hamilton', 'Christian Clauss']",,0.02,19,4,24,1,0,0,0,19.0,27.0,90.0,1.4,0,28.70588
-603,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,5286,447,67,Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2023-02-21,2018-05-11,249,21.168192219679632,"['weak-supervision', 'robust-machine-learning', 'data-cleaning', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'label-errors', 'noisy-labels', 'data-centric-ai', 'machine-learning', 'out-of-distribution-detection', 'outlier-detection', 'data-validation', 'active-learning', 'crowdsourcing', 'image-tagging', 'data-labeling', 'entity-recognition', 'annotations']",2023-02-19,29,"['JohnsonKuan', 'aditya1503@home', 'anishathalye@mitcsail', 'calebchiam@stanforduniversity', 'cgnorthcutt@cleanlab|mit', 'elisno', 'huiwengoh', 'jwmueller@cleanlab', 'ulya-tkch@cleanlab', 'weijinglok']",5,10,"['cleanlab', 'cleanlab|mit', 'home', 'mitcsail', 'stanforduniversity']","['@Cleanlab | MIT', '@cleanlab ', 'Cleanlab', 'Home', 'MIT CSAIL', 'Stanford University']",,9.02,136,94,58,0,4,1,4,136.0,184.0,90.0,1.4,0,45.24406
-278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5281,706,176,Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2023-02-20,2016-08-17,340,15.532352941176471,"['data', 'data-science', 'knowledge', 'data-analysis']",2023-02-20,72,"['JJJ000', 'NiharikaRay', 'bulam', 'csharplus@airbnb', 'danfrankj', 'dorianbrown@dorianbrownanalytics', 'earthmancash2@eppo', 'matthewwardrop@datascientistatnetflix', 'mengting1010', 'naoyak@airbnb']",4,10,"['airbnb', 'datascientistatnetflix', 'dorianbrownanalytics', 'eppo']","['@airbnb', 'Airbnb', 'Data Scientist at @Netflix', 'Dorian Brown Analytics', 'Eppo']",,10.25,75,67,79,0,2,5,2,75.0,16.0,90.0,0.2,0,43.25949
-434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5246,2102,185,Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2023-02-20,2011-07-07,606,8.644538606403014,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",2023-02-20,591,"['JDWarner', 'ahojnnes@microsoft', 'blink1073@mongodb', 'emmanuelle', 'grlee77@nvidia', 'hmaarrfk@californiainstituteoftechnology', 'jni@biomedicinediscoveryinstitute,monashuniversity', 'soupault@mipt-oulu,oulu-imeds', 'stefanv@universityofcalifornia,berkeley', 'vighneshbirodkar@google']",8,10,"['biomedicinediscoveryinstitute,monashuniversity', 'californiainstituteoftechnology', 'google', 'microsoft', 'mipt-oulu,oulu-imeds', 'mongodb', 'nvidia', 'universityofcalifornia,berkeley']","['@MIPT-Oulu, @Oulu-IMEDS ', 'Biomedicine Discovery Institute, Monash University', 'California Institute of Technology', 'Google', 'Microsoft', 'MongoDB', 'NVIDIA', 'University of California, Berkeley']",,5.75,431,171,142,0,6,9,6,431.0,558.0,90.0,1.3,0,58.18437
-552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,5231,1934,52,Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2023-02-21,2020-06-14,140,37.25025432349949,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",2023-02-21,135,"['Junjun2016', 'MengzhangLI@shanghaiailaboratory', 'MeowZheng@openmmlab', 'RockeyCoss', 'linfangjian01@alibaba', 'sennnnn@xxx', 'sshuair', 'xiexinch@openmmlab', 'xvjiarui@ucsd', 'yamengxi']",5,10,"['alibaba', 'openmmlab', 'shanghaiailaboratory', 'ucsd', 'xxx']","['Alibaba', 'OpenMMLab', 'Shanghai AI Laboratory', 'UCSD', 'xxx']",,3.65,433,266,33,0,18,14,18,433.0,639.0,90.0,1.5,0,50.82597
-352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5225,418,65,Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2023-02-19,2019-08-09,184,28.28692962103635,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",2023-02-20,107,"['AbhinavTuli@activeloop', 'FayazRahman', 'benchislett', 'davidbuniat@activeloopai', 'edogrigqv2', 'farizrahman4u', 'imshashank@self', 'kristinagrig06', 'nollied', 'thisiseshan@northeasternuniversity']",4,10,"['activeloop', 'activeloopai', 'northeasternuniversity', 'self']","['@activeloopai', 'Activeloop', 'Northeastern University', 'Self']",,24.62,196,164,43,0,59,34,59,196.0,191.0,90.0,1.0,0,51.6355
-81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5218,1863,142,Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2023-02-21,2015-01-02,424,12.285906491759166,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",2023-02-18,770,"['AA-Turner', 'TimKam@signaviosphinx-docsphinx-contrib', 'birkenfeld@fzjülich', 'jakobandersen', 'jfbu', 'keewis', 'lehmannro', 'shimizukawa@beproud', 'stephenfin@redhat', 'tk0miya@timeintermedia(timedia)']",5,10,"['beproud', 'fzjülich', 'redhat', 'signaviosphinx-docsphinx-contrib', 'timeintermedia(timedia)']","['@signavio @sphinx-doc @sphinx-contrib ', 'BeProud', 'FZ Jülich', 'Red Hat', 'Time Intermedia (@timedia)']",,13.46,381,147,99,0,20,31,20,381.0,439.0,90.0,1.2,0,59.33798
-686,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,pypdf,5218,1165,143,Python,https://pypdf.readthedocs.io/en/latest/,"pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2023-02-21,2012-01-06,580,8.985485854858549,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",2023-02-15,168,"['MartinThoma', 'MasterOdin@popsql', 'jamma313', 'knowah', 'mozbugbox', 'mstamy2', 'mtd91429', 'pubpub-zz', 'switham', 'sylvainpelissier']",1,10,['popsql'],['@popsql'],,13.58,239,183,135,0,54,6,54,239.0,759.0,90.0,3.2,0,53.25838
-404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5167,294,88,Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2023-02-20,2017-01-16,318,16.233842010771994,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",2023-02-20,140,"['A5rocks', 'Fuyukai', 'agronholm@nextdaysolutionsoy', 'buhman@verizonmedia', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'njsmith', 'oremanj@hudsonrivertrading', 'pquentin@elastic']",4,10,"['elastic', 'hudsonrivertrading', 'nextdaysolutionsoy', 'verizonmedia']","['@elastic', '@verizonmedia', 'Hudson River Trading', 'NextDay Solutions Oy']",,5.96,119,95,74,0,0,4,4,119.0,270.0,90.0,2.3,0,49.8598
-301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5166,983,194,Python,,kaggle-api: Official Kaggle API,kaggle,2023-02-21,2018-01-25,264,19.50485436893204,[],2021-03-15,36,"['Conengmo', 'chrisgorgo@google', 'danieljanes@adapgmbh', 'dpmcna', 'filipefilardi', 'philippegr', 'pizzaz93', 'rysteboe', 'vsoch', 'washcycle@aspen-insights']",3,10,"['adapgmbh', 'aspen-insights', 'google']","['@aspen-insights ', 'Adap GmbH', 'Google LLC']",,0.0,21,5,62,24,0,0,0,21.0,18.0,90.0,0.9,0,25.13979
-546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5146,909,117,Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2023-02-20,2018-06-27,243,21.17695473251029,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",2023-02-02,109,"['Ryan-Qiyu-Jiang@uwstudent', 'YuJiang01@facebook', 'apsdehal@researchhuggingface,contributorjquery,pastfacebookresearch', 'dependabot[bot]', 'jknoxville@facebook', 'meetps', 'ronghanghu@metaai', 'suzyahyah', 'vedanuj', 'ytsheng']",4,10,"['facebook', 'metaai', 'researchhuggingface,contributorjquery,pastfacebookresearch', 'uwstudent']","['@Facebook', 'Facebook', 'Meta AI', 'Research @huggingface, Contributor @jquery, Past @facebookresearch ', 'UW student']",,0.87,98,84,57,1,0,1,1,98.0,90.0,90.0,0.9,0,40.41016
-652,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,5127,220,55,Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2023-02-21,2014-03-13,466,10.981946144430845,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",2022-12-27,47,"['asmeurer@quansight', 'cclauss@christianclauss', 'codelol', 'dependabot[bot]', 'goxberry@datadog,formerlyllnl', 'iddan@flycode-org', 'jnsquire', 'joerick@nordprojects', 'telamonian@jpmorgan', 'tonybaloney@microsoft']",7,10,"['christianclauss', 'datadog,formerlyllnl', 'flycode-org', 'jpmorgan', 'microsoft', 'nordprojects', 'quansight']","['@DataDog, formerly @LLNL ', '@Quansight ', '@flycode-org', 'Christian Clauss', 'JP Morgan', 'Microsoft', 'Nord Projects']",,1.92,11,5,109,2,0,6,6,11.0,10.0,90.0,0.9,0,40.7073
-279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5120,386,91,Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2023-02-21,2017-07-06,293,17.42343218279047,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",2022-10-18,108,"['MSeal@noteable-io', 'VincentBLortie', 'betatim@nvidia', 'ewmassey', 'gogasca@google', 'janfreyberg@google', 'mpacer@netflix', 'rgbkrk@noteable-io', 'vizhur@microsoft', 'willingc@willingconsulting']",6,10,"['google', 'microsoft', 'netflix', 'noteable-io', 'nvidia', 'willingconsulting']","['@Noteable-io', '@google ', '@noteable-io', 'Google', 'Microsoft', 'Netflix', 'Nvidia ', 'Willing Consulting']",,0.58,15,1,69,4,0,14,14,15.0,23.0,90.0,1.5,0,40.87479
-605,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,5115,398,78,CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2023-02-20,2020-02-19,157,32.5796178343949,[],2022-12-27,11,"['anishLearnsToCode@wedosarl', 'cclauss@christianclauss', 'connorferster@rjc-development', 'daradib@applemontechnologies', 'eriknw', 'gxyd', 'icaroscherma', 'michaellisitsa@clearcalcs', 'omouraenko', 'shawnbrown']",5,10,"['applemontechnologies', 'christianclauss', 'clearcalcs', 'rjc-development', 'wedosarl']","['@rjc-development ', 'Applemon Technologies', 'Christian Clauss', 'ClearCalcs', 'WEDO Sarl']",,1.08,18,6,37,2,3,3,3,18.0,11.0,90.0,0.6,0,30.97697
-15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,5041,336,82,Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2023-02-20,2017-07-18,292,17.255256723716382,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",2023-02-13,54,"['BenjaminBossan', 'adelevie@casetext', 'asberk', 'benjamin-work@ottogroupbi', 'dnouri', 'ottonemo@ottogroupbi', 'stsievert', 'taketwo@aeolusrobotics', 'thomasjpfan@quansight-labs', 'timokau']",4,10,"['aeolusrobotics', 'casetext', 'ottogroupbi', 'quansight-labs']","['@Quansight-Labs ', '@casetext ', 'Aeolus Robotics, Inc.', 'Otto Group BI']",,1.08,21,12,68,0,2,3,2,21.0,69.0,90.0,3.3,0,42.65678
-953,security,https://github.com/stamparm/maltrail,,,,stamparm/maltrail,maltrail,4978,932,216,Python,,maltrail: Malicious traffic detection system,stamparm,2023-02-20,2014-12-04,428,11.60759493670886,"['security', 'malware', 'intrusion-detection', 'sensor', 'python', 'network-monitoring', 'attack-detection']",2023-02-21,40,"['D9ping', 'MikhailKasimov', 'PeterDaveHello@dnscryptnodejsmaintainerscampus-expertstransmission-remote-gui', 'arons@logobjectag', 'dyussekeyev@nazarbayevuniversity', 'jtkristoff', 'laciKE', 'stamparm', 't3chn0m4g3@deutschetelekomsecuritygmbh', 'wesinator']",4,10,"['deutschetelekomsecuritygmbh', 'dnscryptnodejsmaintainerscampus-expertstransmission-remote-gui', 'logobjectag', 'nazarbayevuniversity']","['@DNSCrypt @nodejs @maintainers  @campus-experts  @transmission-remote-gui', 'Deutsche Telekom Security GmbH', 'LogObject AG', 'Nazarbayev University']",,249.54,15,10,100,0,12,5,12,15.0,42.0,90.0,2.8,0,52.69608
-181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,4968,505,66,Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2023-02-21,2018-04-26,251,19.72546795235394,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",2023-02-11,161,"['brantlk@ibm', 'chair6', 'cjschaef@ibm', 'ehooo', 'ericwb@securesauce', 'lukehinds@redhat,inc', 'pwnetrationguru@ubertechnologies', 'sigmavirus24@tableau&salesforce', 'stannum-l@pwc', 'viraptor']",6,10,"['ibm', 'pwc', 'redhat,inc', 'securesauce', 'tableau&salesforce', 'ubertechnologies']","['@IBM ', '@tableau & @salesforce', 'IBM', 'PwC', 'Red Hat, Inc', 'Secure Sauce', 'UBER Technologies']",,1.37,31,12,59,0,2,8,2,31.0,24.0,90.0,0.8,0,43.73491
-380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4946,520,125,Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2023-02-21,2020-08-31,129,38.25635359116022,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",2022-07-17,8,"['Narasimha1997@cognitifai', 'PickNickChock', 'alirezamika', 'cthulhu-irl', 'gsakkis', 'jasonleonhard@http://stackoverflow.com/users/1783588/jasonleonhard', 'maxbachmann']",2,10,"['cognitifai', 'http://stackoverflow.com/users/1783588/jasonleonhard']","['cognitifai', 'http://stackoverflow.com/users/1783588/jasonleonhard']",,0.04,6,5,30,7,1,6,1,6.0,9.0,90.0,1.5,0,22.55609
-687,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4888,331,58,Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2023-02-21,2015-04-22,409,11.951100244498777,[],2023-01-14,53,"['AlexPHorta@buey', 'KaySackey@9cloud', 'Ohcanep', 'alan-barzilay', 'bndr', 'hdformat', 'jonafato', 'littmus', 'mapattacker', 'raxod502@plaid']",3,10,"['9cloud', 'buey', 'plaid']","['9Cloud LLC', '@plaid', 'Buey']",,0.04,34,8,95,1,0,3,3,34.0,22.0,90.0,0.6,0,35.82595
-169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4866,750,138,Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2023-02-21,2017-08-07,289,16.820740740740742,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",2020-07-14,19,"['EdwardBetts', 'IrekRybark@sivantos', 'akx@valohai', 'bafonso', 'danielgrijalva', 'dkavraal', 'fahadh4ilyas', 'minimaxir@buzzfeed', 'netr', 'torokati44']",3,10,"['buzzfeed', 'sivantos', 'valohai']","['@buzzfeed ', '@valohai ', 'Sivantos, Inc.']",,0.0,3,0,67,32,0,2,2,3.0,3.0,90.0,1.0,0,22.71027
-569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4858,857,123,Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2023-02-19,2016-03-01,364,13.340918007061592,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",2023-01-24,23,"['CarkusL', 'Evizero', 'YananJian', 'eddiesmo@connectedpapers', 'juneoh', 'kmader', 'lradacher', 'mdbloice@medicaluniversitygraz', 'puhoshville', 's-ai-kia@lsbg,hamburg']",3,10,"['connectedpapers', 'lsbg,hamburg', 'medicaluniversitygraz']","['@ConnectedPapers ', 'LSBG, Hamburg', 'Medical University Graz']",,0.19,5,2,85,1,0,3,3,5.0,2.0,90.0,0.4,0,31.00201
-513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4851,617,122,Python,,apscheduler: Task scheduling library for Python,agronholm,2023-02-21,2016-03-27,360,13.4589774078478,[],2023-02-07,38,"['AntonKorobkov', 'adamkalis', 'agronholm@nextdaysolutionsoy', 'bjmc', 'c-oreills', 'eendebakpt', 'jvillar@wetaca', 'linuxdynasty', 'nikolas@columbiauniversity', 'pre-commit-ci[bot]']",3,10,"['columbiauniversity', 'nextdaysolutionsoy', 'wetaca']","['Columbia University', 'NextDay Solutions Oy', 'Wetaca']",,2.63,25,15,84,0,0,8,8,25.0,33.0,90.0,1.3,0,41.63671
-661,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4848,5211,174,Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2023-02-20,2018-09-04,233,20.794117647058822,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",2022-12-24,98,"['HanzTantiangco@universityofsheffield', 'NadimKawwa', 'SudKul@udacity', 'abhiojha8@udacity', 'cezannec', 'festusdrakon', 'jchernus@lumafield', 'mcleonard@bardeen', 'ronny-udacity', 'rrrrrr8@flow']",5,10,"['bardeen', 'flow', 'lumafield', 'udacity', 'universityofsheffield']","['@lumafield ', 'Bardeen', 'Udacity', 'University of Sheffield', 'flow']",,0.1,2,1,54,2,0,0,0,2.0,0.0,90.0,0.0,0,30.02014
-642,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4775,694,120,Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2023-02-19,2009-10-02,698,6.833980781026375,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",2022-12-13,131,"['IanLee1521@llnl', 'asottile', 'cdce8p', 'florentx', 'gward', 'jcrocholl', 'jdufresne@pioneervalleybooks', 'pre-commit-ci[bot]', 'reinout@nens', 'sigmavirus24@tableau&salesforce']",4,10,"['llnl', 'nens', 'pioneervalleybooks', 'tableau&salesforce']","['@LLNL', '@nens ', '@tableau & @salesforce', 'Pioneer Valley Books']",,0.73,16,13,163,2,0,3,3,16.0,18.0,90.0,1.1,0,40.78992
-265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4761,511,91,Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2023-02-20,2014-10-12,436,10.90900163666121,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",2023-01-06,75,"['Synss@tribe29gmbh', 'TheMysteriousX', 'aleneum@caretechowl,fhbielefeld', 'ankostis@jrc-stu', 'artofhuman', 'ollamh', 'svdgraaf@teamookla/downdetector', 'thedrow', 'tyarkoni@twitter', 'wtgee']",5,10,"['caretechowl,fhbielefeld', 'jrc-stu', 'teamookla/downdetector', 'tribe29gmbh', 'twitter']","['@JRC-STU ', '@teamookla / Downdetector', '@tribe29 GmbH', 'CareTech OWL, FH Bielefeld', 'Twitter']",,0.62,8,3,102,2,2,5,2,8.0,11.0,90.0,1.4,0,38.40109
-551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4699,1394,84,Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2023-02-21,2018-08-22,235,19.995744680851065,[],2023-02-17,249,"['MeowZheng@openmmlab', 'ZwwWayne@mmlab,ntu', 'dreamerlin@shanghaiailab', 'grimoire', 'hellock@open-mmlab', 'jshilong@shanghaiailab', 'teamwong111', 'xvjiarui@ucsd', 'yhcao6@cuhk,mmlab', 'zhouzaida']",6,10,"['cuhk,mmlab', 'mmlab,ntu', 'open-mmlab', 'openmmlab', 'shanghaiailab', 'ucsd']","['@open-mmlab ', 'CUHK, MMLab', 'MMLab, NTU', 'OpenMMLab', 'Shanghai AI Lab', 'UCSD']",,5.54,208,145,55,0,16,23,16,208.0,260.0,90.0,1.2,0,53.40651
-213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4668,274,62,Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2023-02-21,2021-06-09,89,52.449438202247194,[],2022-12-05,26,"['Adib234', 'AghilesAzzoug@créditagricolesa', 'Cloud9c', 'amyreese@omnilib', 'cclauss@christianclauss', 'iAdityaEmpire', 'jbitton@facebookresearch', 'mayaliliya', 'membriux@intuit', 'zpapakipos']",5,10,"['christianclauss', 'créditagricolesa', 'facebookresearch', 'intuit', 'omnilib']","['@facebookresearch', '@intuit', '@omnilib ', 'Christian Clauss', 'Crédit Agricole SA']",,0.9,2,0,21,3,1,4,1,2.0,0.0,90.0,0.0,0,25.16645
-830,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4643,333,57,Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2023-02-21,2015-01-27,421,11.024762550881954,"['python', 'boilerplate', 'classes', 'oop', 'attributes']",2023-02-12,139,"['Tinche@pocketzworld', 'altendky', 'cournape@mercarijp', 'euresti', 'hynek@variomediaag', 'pre-commit-ci[bot]', 'radix', 'sscherfke', 'wbolster', 'webknjaz@ansiblecoreredhatofficial']",4,10,"['ansiblecoreredhatofficial', 'mercarijp', 'pocketzworld', 'variomediaag']","['@Ansible Core @ @RedHatOfficial', '@pocketzworld ', 'Mercari JP', 'Variomedia AG']",,4.25,68,48,98,0,2,3,2,68.0,207.0,90.0,3.0,0,49.09899
-97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4572,457,78,Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2023-02-21,2018-08-21,235,19.443499392466585,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",2023-02-20,64,"['SylvainCorlay@quantstack', 'davidbrochart@quantstack', 'dependabot[bot]', 'github-actions[bot]', 'jtpio@quantstack', 'maartenbreddels@maartenbreddels', 'martinRenou@quantstack', 'mkcor', 'timkpaine@point72', 'trungleduc@quantstack']",3,10,"['maartenbreddels', 'point72', 'quantstack']","['@Point72', '@QuantStack', '@maartenbreddels', 'QuantStack']",,1.9,39,21,55,0,14,29,14,39.0,105.0,90.0,2.7,0,45.08834
-247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4556,328,59,Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2023-02-20,2015-01-21,422,10.796208530805687,[],2020-07-10,39,"['WhyNotHugo', 'blueyed@freelancer,upforhire', 'carlnordenfelt@bynordenfelt', 'galenhuntington', 'graingert', 'jorgebastida@infiniteforksl', 'juhani-hietikko@reaktor', 'rwolfson', 'sj26@buildkite', 'vlcinsky']",5,10,"['buildkite', 'bynordenfelt', 'freelancer,upforhire', 'infiniteforksl', 'reaktor']","['@Buildkite', 'Freelancer, up for hire', 'Infinite Fork SL', 'Reaktor', 'by nordenfelt']",,0.0,9,1,98,32,0,1,1,9.0,8.0,90.0,0.9,0,27.70605
-312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4539,196,60,Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2023-02-21,2018-12-18,218,20.807465618860512,[],2023-01-21,53,"['Tipuch', 'dae', 'durin42', 'dvc94ch', 'indygreg', 'jayvdb@franklin-ai', 'ralpha', 'ryancinsight@insightec', 'stuhood@toolchainlabs', 'wkschwartz@isaadvisers']",4,10,"['franklin-ai', 'insightec', 'isaadvisers', 'toolchainlabs']","['@franklin-ai', '@isaadvisers ', 'Insightec ', 'Toolchain Labs']",,26.0,51,14,51,1,12,88,12,51.0,59.0,90.0,1.2,0,45.04344
-66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4515,973,75,Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2023-02-20,2015-12-09,376,12.007978723404255,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",2023-02-21,514,"['DanielNoord@channable', 'DudeNr33@siemensmobilitygmbh', 'PCManticore', 'Pierre-Sassoulas', 'cdce8p', 'dependabot[bot]', 'godfryd@graphcore', 'hippo91', 'jacobtylerwalls@element84', 'mbyrnepr2']",4,10,"['channable', 'element84', 'graphcore', 'siemensmobilitygmbh']","['@channable', 'Element 84', 'Graphcore', 'Siemens Mobility GmbH']",,37.73,718,469,88,0,34,24,34,718.0,2198.0,90.0,3.1,0,63.04546
-570,util,https://github.com/jd/tenacity,1.0,,,jd/tenacity,tenacity,4487,222,44,Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2023-02-21,2016-08-11,340,13.16387259010897,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",2023-02-09,77,"['asqui', 'bersace@dalibo', 'harlowja@waymo', 'immerrr', 'jd@mergifyio', 'mergify[bot]', 'mezgerj', 'penguinolog', 'rholder', 'sileht@mergifyio']",3,10,"['dalibo', 'mergifyio', 'waymo']","['@Dalibo', '@Mergifyio', 'Waymo']",,0.38,37,25,80,0,0,9,9,37.0,54.0,90.0,1.5,0,42.92561
-196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4435,344,86,Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2023-02-20,2020-01-08,163,27.208588957055216,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",2022-05-21,20,"['19thyneb', 'caitlynachen', 'cgarciae@quansight', 'dorisjlee@ponder-org', 'jaywoo123', 'jinimukh@year', 'jrdzha', 'micahtyong@ucberkeley', 'thyneb19', 'westernguy2']",4,10,"['ponder-org', 'quansight', 'ucberkeley', 'year']","['@ponder-org', 'Quansight', 'UC Berkeley', 'Year']",,0.13,6,0,38,9,0,4,4,6.0,7.0,90.0,1.2,0,27.41563
-206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4385,330,75,Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2023-02-19,2021-01-17,109,40.07180156657964,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",2022-03-13,14,"['Fliens', 'Incog5', 'NotNANtoN@adalab', 'RaymondTerry', 'akx@valohai', 'dginev@kwarc', 'donno2048', 'lorcalhost@bitpolito', 'lucidrains', 'russelldc@midjourney']",5,10,"['adalab', 'bitpolito', 'kwarc', 'midjourney', 'valohai']","['@BITPoliTO', '@KWARC ', '@midjourney', '@valohai ', 'Adalab']",,0.02,0,0,26,12,1,31,1,0.0,0.0,90.0,0.0,0,19.33567
-764,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4374,891,90,Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2023-02-21,2018-04-19,252,17.298305084745763,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",2023-02-02,19,"['Cugtyt@msft', 'JeremyIV', 'LiangbinXie@um&siat', 'Lotayou@videocodinglaboratory,pekinguniversity', 'My-Zhu@sigs,tsinghuauniversity', 'henrymai', 'ljzycmd', 'wwhio', 'xinntao@tencent', 'zestloveheart@whut']",6,10,"['msft', 'sigs,tsinghuauniversity', 'tencent', 'um&siat', 'videocodinglaboratory,pekinguniversity', 'whut']","['MSFT', 'SIGS, Tsinghua University', 'Tencent', 'UM & SIAT', 'Video Coding Laboratory, Peking University', 'WHUT']",,1.02,23,4,59,1,3,7,3,23.0,12.0,90.0,0.5,0,34.86486
-927,util,https://github.com/openai/point-e,,,,openai/point-e,point-e,4359,432,159,Python,,point-e: Point cloud diffusion for 3D model synthesis,openai,2023-02-21,2022-12-06,11,391.1923076923077,[],2022-12-20,2,"['heewooj', 'unixpickle']",0,10,[],[],,0.06,73,24,3,2,0,0,0,73.0,144.0,90.0,2.0,0,13.69709
-21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4350,906,165,Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2023-02-19,2017-07-07,293,14.810311284046692,[],2021-05-18,12,"['ajfisch@mitnlp', 'dfenglei@hewlett-packardenterprise', 'hpasapp@asappinc', 'jaseweston', 'lbaligand', 'ousou@iprally', 'pemazare', 'rashoodkhan@yellowmessenger', 'stephenroller', 'sundeep']",5,10,"['asappinc', 'hewlett-packardenterprise', 'iprally', 'mitnlp', 'yellowmessenger']","['@ASAPPinc ', '@iprally ', '@mitnlp ', 'Hewlett-Packard Enterprise ', 'Yellow Messenger']",,0.0,2,0,68,21,0,0,0,2.0,2.0,90.0,1.0,0,22.38055
-101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4271,804,118,Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2023-02-21,2014-08-14,444,9.600834938985228,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",2023-01-31,92,"['JJLWHarrison', 'Maitreyee1', 'NimaSarajpoor', 'jaksmid@blindspotsolutions', 'jrbourbeau@coiled', 'kota7', 'labdmitriy', 'rasbt@lightning-ai,universityofwisconsin-madison', 'reiinakano@openai', 'zdgriffith@ssec']",5,10,"['blindspotsolutions', 'coiled', 'lightning-ai,universityofwisconsin-madison', 'openai', 'ssec']","['@Lightning-AI , University of Wisconsin-Madison', '@coiled ', '@openai', '@ssec', 'Blindspot Solutions']",,4.52,17,14,104,1,2,3,2,17.0,36.0,90.0,2.1,0,44.56575
-717,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4226,571,142,Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2023-02-19,2011-03-28,621,6.80202345366751,[],2023-02-17,120,"['claudep@2xlibre.netsàrl', 'durden@http://www.lukelee.me', 'hugovk@nordsoftware', 'iurisilvio@buser', 'jdufresne@pioneervalleybooks', 'kennethreitz', 'lbeltrame', 'rogersmark@guildeducation', 'timofurrer@gitlabhq', 'xdanielsb']",7,10,"['2xlibre.netsàrl', 'buser', 'gitlabhq', 'guildeducation', 'http://www.lukelee.me', 'nordsoftware', 'pioneervalleybooks']","['2xlibre.net Sàrl', '@gitlabhq', 'Buser', 'Guild Education', 'Nord Software', 'Pioneer Valley Books', 'http://www.lukelee.me']",,0.33,17,14,145,0,2,4,2,17.0,44.0,90.0,2.6,0,46.96355
-370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4221,449,72,Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2023-02-21,2021-02-25,103,40.6423658872077,[],2023-02-14,126,"['MariusGuerard', 'ahmetburhanfb', 'facebook-github-bot@facebook', 'iamxiaodong@facebook', 'michaelbrundage@meta', 'ourownstory@stanforduniversity', 'peiyizhang@meta', 'rohanfb', 'uthakore@facebook', 'yangbk560@facebooklnc.']",4,10,"['facebook', 'facebooklnc.', 'meta', 'stanforduniversity']","['@facebook', 'Facebook', 'Facebook lnc.', 'Meta', 'Stanford University']",,3.54,37,21,24,0,1,1,1,37.0,28.0,90.0,0.8,0,40.12931
-542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,4220,244,44,C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2023-02-21,2019-03-05,207,20.372413793103448,[],2023-02-20,109,"['AntoinePrv@quantstack', 'Hind-M', 'JohanMabille@quantstack', 'Klaim', 'adriendelsalle@quantstack', 'davidbrochart@quantstack', 'isuruf@universityofillinois', 'jonashaag@quantco', 'marimeireles@anaconda', 'wolfv@prefix.devgmbh']",5,10,"['anaconda', 'prefix.devgmbh', 'quantco', 'quantstack', 'universityofillinois']","['@QuantStack', '@Quantco', '@anaconda', 'QuantStack', 'University of Illinois', 'prefix.dev GmbH']",,9.85,276,158,48,0,15,52,15,277.0,756.0,90.0,2.7,0,53.2679
-734,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4206,579,59,Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2023-02-21,2017-11-23,273,15.358372456964005,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",2023-02-18,187,"['Ishan-Kumar2@sdsdatasciencegroupdsgiitr', 'KickItLikeShika@cision', 'Moh-Yakoub', 'alykhantejani@sharechat', 'anmolsjoshi', 'puhuk', 'sadra-barikbin@pytorch-ignite', 'sdesrozis@pytorch-ignitemichelin', 'trsvchn@bimsbbioinfopytorch-ignite', 'vfdev-5@quansight']",7,10,"['bimsbbioinfopytorch-ignite', 'cision', 'pytorch-ignite', 'pytorch-ignitemichelin', 'quansight', 'sdsdatasciencegroupdsgiitr', 'sharechat']","['@BIMSBbioinfo @pytorch-ignite', '@Quansight', '@ShareChat', '@cision', '@pytorch-ignite', '@pytorch-ignite @michelin', 'SDS Data Science Group @dsgiitr ']",,3.58,115,96,64,0,3,4,3,115.0,181.0,90.0,1.6,0,50.47067
-293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4167,249,82,Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2023-02-20,2013-09-13,492,8.457233980864018,[],2022-11-03,74,"['bartvm@google', 'cpcloud@voltrondata', 'eriknw', 'groutr@lynkertechnologies', 'hugovk@nordsoftware', 'llllllllll@formerlyquantopian', 'medecau', 'mrocklin@coiled', 'obmarg@redbadger', 'tacaswell@brookhavennationallab']",8,10,"['brookhavennationallab', 'coiled', 'formerlyquantopian', 'google', 'lynkertechnologies', 'nordsoftware', 'redbadger', 'voltrondata']","['@coiled ', '@google', '@voltrondata', 'Brookhaven National Lab', 'Lynker Technologies', 'Nord Software', 'Red Badger', 'formerly @quantopian']",,0.25,18,7,115,4,1,3,1,18.0,32.0,90.0,1.8,0,39.87594
-27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4120,263,56,Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2023-02-21,2015-03-18,414,9.951690821256038,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",2023-02-17,87,"['Solumin', 'alvarocaceres', 'bsolomon1124', 'dbaum', 'martindemello@google', 'matthiaskramm', 'pludemann@google', 'rchen152', 'rpalaguachi', 'sivachandra@googledart-langflutter']",2,10,"['google', 'googledart-langflutter']","['@google @dart-lang @flutter ', 'Google']",,11.63,63,53,97,0,0,21,21,63.0,53.0,90.0,0.8,0,46.96301
-362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,4115,556,85,Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2023-02-21,2019-06-10,193,21.289726533628972,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",2023-02-19,71,"['H4dr1en', 'Rizwan-Hasan@techlearnersincallegroai', 'allegroai-git@allegroai', 'danmalowany-allegro@allegro.ai', 'erezalg', 'eugen-ajechiloae-clearml', 'jalexand3r', 'jkhenning', 'pollfly', 'thepycoder']",3,10,"['allegro.ai', 'allegroai', 'techlearnersincallegroai']","['@TechLearnersInc @allegroai', 'AllegroAI', 'allegro.ai']",,1.44,135,51,45,0,22,36,22,135.0,306.0,90.0,2.3,0,46.3109
-754,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,4113,440,90,Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2023-02-21,2020-04-13,149,27.551196172248805,[],2020-04-18,2,"['bpesquet@enscognitique', 'karpathy']",1,10,['enscognitique'],['ENS Cognitique'],,0.0,8,3,35,35,0,0,0,8.0,8.0,90.0,1.0,0,11.85175
-227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,4087,458,83,Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2023-02-20,2019-01-24,212,19.200671140939598,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",2023-02-20,94,"['AdilZouitine@irtsaint-exupéry', 'Darkmyter', 'MaxHalford@carbonfact', 'garawalid@sfr', 'gbolmier@volvo-cars', 'guimatsumoto', 'jacobmontiel@universityofwaikato', 'krifiMedAmine', 'raphaelsty@manomano', 'smastelini@phdcandidateatuniversityofsãopaulo']",7,10,"['carbonfact', 'irtsaint-exupéry', 'manomano', 'phdcandidateatuniversityofsãopaulo', 'sfr', 'universityofwaikato', 'volvo-cars']","['@carbonfact', '@volvo-cars', 'IRT Saint-Exupéry', 'ManoMano', 'PhD candidate at University of São Paulo', 'SFR', 'University of Waikato']",,5.58,68,58,50,0,6,7,6,68.0,182.0,90.0,2.7,0,50.40081
-549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,4069,728,86,Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2023-02-21,2019-08-23,182,22.269741985926505,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",2023-02-21,66,"['EndlessSora@nanyangtechnologicaluniversity', 'Yshuo-Li', 'ckkelvinchan@googleresearch', 'hejm37@universityofalberta', 'hellock@open-mmlab', 'innerlee@cuhk', 'nbei', 'wangruohui', 'wwhio', 'zengyh1900@openmmlab']",6,10,"['cuhk', 'googleresearch', 'nanyangtechnologicaluniversity', 'open-mmlab', 'openmmlab', 'universityofalberta']","['@open-mmlab ', 'CUHK', 'Google Research', 'Nanyang Technological University', 'OpenMMLab', 'University of Alberta']",,2.83,238,197,43,0,12,6,12,238.0,252.0,90.0,1.1,0,47.89301
-343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,4068,259,60,Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2023-02-21,2020-05-19,144,28.222001982160556,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",2023-02-10,77,"['OtherBarry@spiralblue', 'SmileyChris', 'areski@star2billing//dialerai', 'baseplate-admin', 'fojetin', 'hiaselhans', 'jairhenrique@grupoboticario', 'stephenrauch', 'vitalik', 'wimolivier']",3,10,"['grupoboticario', 'spiralblue', 'star2billing//dialerai']","['@grupoboticario ', '@spiralblue ', 'Star2Billing // DialerAI']",,2.94,112,65,34,0,4,9,4,112.0,241.0,90.0,2.2,0,43.86003
-565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,4053,744,121,Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2023-02-21,2016-07-24,343,11.801580698835275,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",2023-01-27,74,"['AtelierLibre', 'HTenkanen@aaltouniversity', 'RunOrVeith', 'd-wasserman@alta', 'eumiro', 'gboeing@universityofsoutherncalifornia', 'migurski', 'mxndrwgrdnr', 'pmartincalvo', 'samuelduchesne@mitsustainabledesignlabelementa-engineering']",4,10,"['aaltouniversity', 'alta', 'mitsustainabledesignlabelementa-engineering', 'universityofsoutherncalifornia']","['@MITSustainableDesignLab @Elementa-Engineering', 'Aalto University', 'Alta', 'University of Southern California']",,3.27,51,43,80,1,0,8,8,51.0,96.0,90.0,1.9,0,45.15682
-258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,4039,1309,117,Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2023-02-21,2016-04-14,357,11.286626746506986,[],2023-02-16,219,"['carver@ethereumfoundation', 'djrtwo@ctrl^t', 'dylanjw', 'fselmo@ethereum', 'kclowes', 'njgheorghita@ethereum', 'pipermerriam@ethereumfoundation', 'tmckenzie51', 'voith@cryptexfinance', 'wolovim']",4,10,"['cryptexfinance', 'ctrl^t', 'ethereum', 'ethereumfoundation']","['@cryptexfinance', '@ethereum', '@ethereum ', 'Ctrl^T', 'Ethereum Foundation']",,5.94,153,113,83,0,0,28,28,153.0,151.0,90.0,1.0,0,52.53779
-184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,4033,475,77,Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2023-02-21,2020-01-10,162,24.78577699736611,['jax'],2023-02-19,187,"['8bitmp3@tensorflow,jax,flax', 'IvyZX@google', 'andsteing@google', 'avital@google', 'cgarciae@quansight', 'jheek', 'levskaya', 'marcvanzee@google', 'mohitreddy1996@fennel-ai', 'wrzadkow@istaustria']",5,10,"['fennel-ai', 'google', 'istaustria', 'quansight', 'tensorflow,jax,flax']","['@fennel-ai', '@google', 'Google', 'IST Austria', 'Quansight', 'tensorflow, jax, flax']",,10.0,287,201,38,0,13,8,13,287.0,458.0,90.0,1.6,0,52.66872
-376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,3992,166,50,C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2023-02-20,2021-07-06,85,46.88590604026846,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",2023-02-15,25,"['AK391@huggingface', 'andrerics', 'astagi@italiateamdigitale', 'brettcannon@microsoft', 'christinesutcliffe', 'drubinstein@spotify', 'emilio1234', 'paulm12@myr', 'psobot@spotify', 'rm-star@b3ta']",6,10,"['b3ta', 'huggingface', 'italiateamdigitale', 'microsoft', 'myr', 'spotify']","['@b3ta', '@italia @teamdigitale', '@microsoft ', '@spotify', 'Huggingface', 'MYR']",,4.69,44,33,20,0,25,24,25,44.0,41.0,90.0,0.9,0,42.58001
-355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,3979,744,74,Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2023-02-21,2018-12-10,219,18.14527687296417,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",2023-02-17,189,"['achals@tectonai', 'adchia@tecton', 'davidheryanto', 'felixwang9817', 'jklegar', 'kevjumba', 'pyalex@tecton-ai', 'terryyylim@gojek', 'woop@tecton', 'zhilingc@gojekindonesia']",5,10,"['gojek', 'gojekindonesia', 'tecton', 'tecton-ai', 'tectonai']","['@gojekindonesia ', '@tecton-ai', 'Gojek', 'Tecton', 'Tecton AI']",,13.67,260,174,51,0,30,30,30,260.0,408.0,90.0,1.6,0,54.89907
-13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3913,543,101,Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2023-02-20,2016-05-18,353,11.08498583569405,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",2023-01-13,111,"['Kautumn06', 'bbengfort@rotationalio', 'jkeung', 'lwgray', 'mgarod', 'naresh-bachwani', 'ndanielsen', 'pdamodaran', 'ralle123', 'rebeccabilbro@rotationallabs']",2,10,"['rotationalio', 'rotationallabs']","['@rotationalio ', 'Rotational Labs, LLC']",,0.48,11,6,82,1,1,4,1,11.0,14.0,90.0,1.3,0,36.06359
-43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3902,309,64,Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2023-02-20,2016-09-09,336,11.58845990666101,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",2023-01-27,113,"['dependabot-preview[bot]', 'dependabot[bot]', 'eumiro', 'hoefling@ionos-cloud', 'lk-geimfari@roskomsvoboda', 'ngnpope@infogrid', 'sinecode@extendi', 'sobolevn', 'valerievich', 'wikkiewikkie@42software']",5,10,"['42software', 'extendi', 'infogrid', 'ionos-cloud', 'roskomsvoboda']","['42 Software LLC', '@ionos-cloud ', '@roskomsvoboda', 'Extendi', 'Infogrid']",,2.75,25,14,79,0,8,8,8,25.0,25.0,90.0,1.0,0,45.85826
-199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3876,329,68,TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2023-02-21,2019-07-15,188,20.585735963581183,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",2023-02-07,29,"['AnthraX1', 'appznoix', 'ariffrahimin@asiadigitalengineering', 'aschonfeld', 'cdeil@heidelbergcement', 'colin-jensen', 'dependabot[bot]', 'jasonkholden', 'matrach', 'phillipdupuis']",2,10,"['asiadigitalengineering', 'heidelbergcement']","['Asia Digital Engineering', 'HeidelbergCement']",,1.87,36,28,44,0,17,40,17,36.0,76.0,90.0,2.1,0,40.69836
-309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3819,694,61,Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2023-02-21,2018-09-05,233,16.390557939914164,"['solidity', 'ethereum', 'static-analysis']",2023-02-14,101,"['0xalpharush@trailofbits', 'Xenomega@trailofbits', 'elopez@trailofbits', 'ggrieco-tob@trailofbits', 'htadashi', 'montyly', 'rajeevgopalakrishna', 'rmi7', 'samczsun', 'smonicas']",1,10,['trailofbits'],"['@trailofbits', '@trailofbits ']",,8.94,298,172,54,0,4,7,4,298.0,316.0,90.0,1.1,0,43.43518
-790,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3817,332,83,Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2023-02-21,2022-10-06,19,192.22302158273382,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",2023-02-18,8,"['abesmon@ctcmedia', 'ashawkey@pekinguniversity', 'elliottzheng', 'flobotics@floboticsrobotics', 'jogloran', 'johnrobinsn', 'nside']",3,10,"['ctcmedia', 'floboticsrobotics', 'pekinguniversity']","['CTC Media', 'Flobotics Robotics', 'Peking University']",,1.46,79,36,5,0,0,0,0,79.0,186.0,90.0,2.4,0,29.51257
-388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3810,429,39,Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2023-02-21,2019-03-21,204,18.598326359832637,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",2022-07-07,33,"['DrMatters', 'JohnGiorgi@universityoftoronto', 'Logigo', 'amitness', 'avostryakov', 'baskrahmer', 'bdalal@cresta', 'chiragjn@truefoundry', 'makcedward@toyotaconnected', 'ricardopieper@clevertech']",5,10,"['clevertech', 'cresta', 'toyotaconnected', 'truefoundry', 'universityoftoronto']","['@cresta ', '@truefoundry ', 'Clevertech', 'Toyota Connected', 'University of Toronto']",,0.29,16,1,48,8,1,7,1,16.0,5.0,90.0,0.3,0,27.90894
-91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3800,608,78,Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2023-02-20,2019-07-09,189,20.090634441087612,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",2023-02-03,49,"['huigangchen', 'jeongyoonlee@uber', 'manojbalaji1@datascientist', 'paullo0106@uber', 'peterfoley', 'ppstacy', 't-tte@toyotaresearchinstitute', 'yluogit', 'yungmsh@spotify', 'zhenyuz0500@tencent']",5,10,"['datascientist', 'spotify', 'tencent', 'toyotaresearchinstitute', 'uber']","['Data Scientist', 'Spotify', 'Tencent', 'Toyota Research Institute', 'Uber']",,0.85,24,8,44,1,2,3,2,24.0,38.0,90.0,1.6,0,38.03905
-280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3798,487,45,Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2023-02-21,2020-09-22,126,30.108720271800678,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",2023-02-15,19,"['FelSiq@icmc,universityofsãopaulo', 'MaartenGr@iknl', 'anubhabdaserrr@textifyai(t3xtifyai)', 'domenicrosati@scitedotai', 'dwhdai@ada', 'leloykun@expedock', 'nreimers@huggingface', 'proselotis@mustanganalytics', 'rafaelvalero', 'xwwwwww@tsinghuauniversity']",9,10,"['ada', 'expedock', 'huggingface', 'icmc,universityofsãopaulo', 'iknl', 'mustanganalytics', 'scitedotai', 'textifyai(t3xtifyai)', 'tsinghuauniversity']","['@scitedotai ', 'Ada', 'Expedock', 'Huggingface', 'ICMC, University of São Paulo', 'IKNL', 'Mustang Analytics', 'Textify AI (@T3xtifyai)', 'Tsinghua University']",,0.56,239,149,29,0,5,11,5,239.0,606.0,90.0,2.5,0,44.43289
-822,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3790,728,88,Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2023-02-21,2019-10-11,175,21.56910569105691,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",2023-02-20,138,"['Can-Zhao@nvidia', 'KumoLiu@nvidia', 'Nic-Ma@nvidia', 'drbeh@nvidia', ""ericspod@king'scollegelondon"", 'hjmjohnson@theuniversityofiowa', 'myron@nvidia', ""rijobro@king'scollegelondon"", 'wyli@nvidia', 'yiheng-wang-nv']",3,10,"[""king'scollegelondon"", 'nvidia', 'theuniversityofiowa']","['@NVIDIA', ""King's College London"", 'NVIDIA', 'Nvidia', 'The University of Iowa']",,14.27,477,367,41,0,5,21,5,478.0,911.0,90.0,1.9,0,50.30081
-357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3780,907,246,Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2023-02-18,2019-05-14,197,19.17391304347826,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",2023-02-14,217,"['Golodhros@lyft', 'allisonsuarez', 'dependabot-preview[bot]', 'dorianj', 'feng-tao@databricksamundsen-ioapache', 'jinhyukchang@lyft', 'jornh', 'mgorsk1', 'ttannis@lyft', 'verdan']",2,10,"['databricksamundsen-ioapache', 'lyft']","['@databricks @amundsen-io @apache ', '@lyft', 'Lyft']",,3.31,282,265,46,0,39,32,39,283.0,162.0,90.0,0.6,0,47.82923
-855,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3768,366,76,Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2023-02-21,2011-10-14,592,6.357194504699928,[],2022-12-06,101,"['Afoucaul@cardiologs', 'altendky', 'astrojuanlu@kedro-org', 'bbengfort@rotationalio', 'cclauss@christianclauss', 'd-ryzhikov', 'demiurg906@jetbrains', 'fabianp@google', 'mgbckr@universityofrostock', 'pgervais']",7,10,"['cardiologs', 'christianclauss', 'google', 'jetbrains', 'kedro-org', 'rotationalio', 'universityofrostock']","['@JetBrains', '@google', '@kedro-org', '@rotationalio ', 'Cardiologs', 'Christian Clauss', 'University of Rostock']",,0.63,7,4,138,3,0,4,4,7.0,12.0,90.0,1.7,0,41.8095
-778,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3760,589,84,Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2023-02-21,2020-08-31,129,29.082872928176794,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",2023-02-09,5,"['FrancescoSaverioZuppichini@roboflow', 'NielsRogge@huggingface', 'grahamannett']",2,10,"['huggingface', 'roboflow']","['HuggingFace', 'roboflow']",,2.71,57,11,30,0,0,0,0,58.0,94.0,90.0,1.6,0,29.57123
-354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3751,402,213,Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2023-02-21,2019-08-27,182,20.59372549019608,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",2023-02-03,98,"['99warriors', 'J0Nreynolds', 'NarineK', 'ProGamerGov', 'aobo-y@facebook', 'bilalsal@viennauniversityoftechnology', 'edward-io', 'miguelmartin75@meta', 'orionr@facebook', 'vivekmig']",3,10,"['facebook', 'meta', 'viennauniversityoftechnology']","['@facebook', '@facebook ', 'Meta', 'Vienna University of Technology']",,2.0,57,33,42,1,2,2,2,57.0,155.0,90.0,2.7,0,41.64473
-793,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3731,221,39,Python,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2023-02-21,2020-05-21,143,25.93545183714002,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",2023-01-20,31,"['astrojuanlu@kedro-org', 'dependabot[bot]', 'fruttasecca@orchest', 'iannbing@orchest.io', 'joe-bell@bigattic', 'mausworks@orchest', 'ncspost', 'nhaghighat@orchestmangrovesdb', 'ricklamers@orchest', 'yannickperrenet@orchest']",5,10,"['bigattic', 'kedro-org', 'orchest', 'orchest.io', 'orchestmangrovesdb']","['@Orchest', '@bigattic', '@kedro-org', '@orchest', '@orchest ', '@orchest @mangrovesdb', 'Orchest.io']",,75.04,82,65,34,1,96,72,96,82.0,79.0,90.0,1.0,0,47.53071
-58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3724,754,195,C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2023-02-21,2013-09-30,490,7.5955710955710956,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",2023-02-20,160,"['CFSworks', 'Moguri', 'darrenr555', 'drwrose', 'gyedo', 'jyelon', 'nthparameter', 'rdb', 'shochet@codespark,homer', 'zpavlov']",1,10,"['codespark,homer']","['codeSpark, Homer']",,8.33,157,81,114,0,2,2,2,157.0,217.0,90.0,1.4,0,45.09643
-200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3705,335,69,Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2023-02-21,2020-10-30,120,30.692307692307693,[],2023-02-20,92,"['Chris-hughes10@microsoft', 'muellerzr@huggingface', 'pacman100@huggingface', 'patrickvonplaten', 'philschmid@huggingface', 'ryanrussell', 'sgugger', 'sywangyi@intel', 'thomwolf@huggingface', 'younesbelkada@ensparissaclay']",4,10,"['ensparissaclay', 'huggingface', 'intel', 'microsoft']","['@HuggingFace', '@huggingface', '@huggingface ', 'ENS Paris Saclay', 'Hugging Face', 'Intel', 'Microsoft']",,8.81,269,219,28,0,16,10,16,269.0,718.0,90.0,2.7,0,50.76608
-209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3694,331,52,Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2023-02-21,2020-02-29,155,23.744719926538107,['pywebio'],2023-02-06,17,"['Priler@howdy-ho', 'brumar@evidenceb', 'cclauss@christianclauss', 'dependabot[bot]', 'dmesquita', 'donno2048', 'mawoka-myblock', 'muxueqz', 'pikhosh', 'wang0618']",3,10,"['christianclauss', 'evidenceb', 'howdy-ho']","['@Howdy-Ho ', 'Christian Clauss', 'EvidenceB']",,1.67,33,11,36,0,0,9,9,33.0,40.0,90.0,1.2,0,36.92339
-762,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3659,828,177,Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2023-02-21,2017-12-14,270,13.50896624472574,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",2023-02-19,184,"['95-martin-orion', 'MichaelBroughton', 'Strilanc@google', 'balopat@dukeuniversity', 'dabacon', 'daxfohl', 'dstrain115@google', 'maffoo@google', 'tanujkhattar@google', 'viathor']",2,10,"['dukeuniversity', 'google']","['Duke University', 'Google']",,13.0,92,49,63,0,5,5,5,92.0,102.0,90.0,1.1,0,46.68584
-423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3653,537,99,Python,,RPA-Python: Python package for doing RPA,tebelorg,2023-02-21,2019-03-30,203,17.94456140350877,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",2022-09-07,3,"['fi-do@universityofappliedtrialanderror', 'kensoh', 'pradishb']",1,10,['universityofappliedtrialanderror'],['University of applied trial and error'],,1.1,22,18,47,6,3,13,3,22.0,42.0,90.0,1.9,0,24.40784
-757,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3653,179,46,Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2023-02-21,2017-05-31,299,12.217391304347826,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",2023-02-09,26,"['RobertRosca@europeanxfel', 'blink1073@mongodb', 'cclauss@christianclauss', 'dependabot[bot]', 'ischaojie@douban', 'maresb@m²hycongmbh', 'matthewfeickert@universityofwisconsin-madison', 'musicinmybrain', 'ofek@datadog', 'olgarithms@bloomberg']",8,10,"['bloomberg', 'christianclauss', 'datadog', 'douban', 'europeanxfel', 'mongodb', 'm²hycongmbh', 'universityofwisconsin-madison']","['@datadog', 'Bloomberg', 'Christian Clauss', 'Douban', 'European XFEL', 'MongoDB', 'University of Wisconsin-Madison', 'm²hycon GmbH']",,9.12,144,83,70,0,56,15,56,144.0,338.0,90.0,2.3,0,51.72874
-770,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3651,169,41,TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2023-02-21,2020-05-22,143,25.404572564612327,"['awesome', 'database', 'spreadsheet']",2023-02-21,38,"['CamilleLegeron', 'LouisDelbosc', 'alexmojaki', 'arnaudpeich@didask', 'berhalak', 'cpind', 'dsagal', 'georgegevoian@gristlabs', 'paulfitz@gristlabs', 'yohanboniface@enix']",3,10,"['didask', 'enix', 'gristlabs']","['@Didask', '@gristlabs ', 'Enix', 'Grist Labs']",,12.08,98,45,34,0,10,5,10,98.0,214.0,90.0,2.2,0,45.05504
-442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3607,2008,163,C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2023-02-21,2012-10-09,541,6.665522703273496,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",2023-02-21,511,"['etiennesky@bsc', 'hobu@hobu', 'landam@czechtechnicaluniversityinprague', 'mloskot@cadcorp', 'nyalldawson@northroad', 'rouault@spatialys', 'schwehr@google', 'strezen', 'szekerest', 'warmerdam']",7,10,"['bsc', 'cadcorp', 'czechtechnicaluniversityinprague', 'google', 'hobu', 'northroad', 'spatialys']","['@Cadcorp', 'BSC', 'Czech Technical University in Prague', 'Google', 'Hobu, Inc.', 'North Road', 'Spatialys']",,46.85,566,526,126,0,9,14,9,565.0,707.0,90.0,1.3,0,62.13824
-616,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3581,245,32,Python,,freezegun: Let your Python tests travel through time,spulec,2023-02-21,2012-12-11,532,6.729395973154363,[],2023-02-17,109,"['CrazyPython', 'boxed@dryft-technologies', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'kylegibson', 'micromoses', 'ojii@henngek.k.', 'pganssle@google', 'rinslow@dapulse', 'spulec@yipitdata']",7,10,"['dapulse', 'dryft-technologies', 'google', 'henngek.k.', 'nordsoftware', 'pioneervalleybooks', 'yipitdata']","['@DaPulse ', '@Dryft-Technologies ', '@Google', 'HENNGE K.K.', 'Nord Software', 'Pioneer Valley Books', 'YipitData']",,0.56,26,11,124,0,0,5,5,26.0,18.0,90.0,0.7,0,45.15119
-287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3554,790,106,Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2023-02-21,2013-06-27,503,7.053586617521973,[],2023-02-11,189,"['IamJeffG@conservationmetrics', 'adriangb', 'jdmcbr', 'jorisvandenbossche', 'jtratner', 'jwass', 'kjordahl@planetlabs', 'm-richards', 'martinfleis', 'snowman2@corteva']",3,10,"['conservationmetrics', 'corteva', 'planetlabs']","['@ConservationMetrics ', '@corteva ', 'Planet Labs']",,2.9,219,143,118,0,5,3,5,219.0,344.0,90.0,1.6,0,49.74752
-782,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3538,217,33,Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2023-02-21,2022-06-30,33,104.49789029535864,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",2022-08-17,6,"['Hugo-Dz', 'Nick17t@jinaai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'nan-wang@jinaai', 'thegenerativegeneration']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', 'Jina AI']",,7.21,3,0,8,6,110,181,110,3.0,2.0,90.0,0.7,0,24.05867
-866,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,3487,270,45,Python,https://www.mage.ai/,"mage-ai: 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.",mage-ai,2023-02-21,2022-05-16,40,86.55673758865248,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",2023-02-21,22,"['ci-mage', 'csharplus@airbnb', 'dy46', 'jlondonobo@humanlivingdata', 'johnson-mage', 'nathaniel-mage', 'shrey-mage', 'skunichetty', 'tommydangerous@mage', 'wangxiaoyou1993']",3,10,"['airbnb', 'humanlivingdata', 'mage']","['Airbnb', 'Human Living Data', 'Mage']",,47.5,585,546,9,0,4,5,4,585.0,160.0,90.0,0.3,0,40.4631
-368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3471,345,59,Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2023-02-20,2020-06-10,141,24.617021276595743,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",2022-08-06,8,"['Jim-Salmons@factminers', 'RosenZhang', 'an1018', 'dumbPy', 'edisongustavo@amazon', 'k-for-code', 'lolipopshock@clinicalmlallenai', 'yusanshi@ustc']",4,10,"['amazon', 'clinicalmlallenai', 'factminers', 'ustc']","['@clinicalml @allenai ', 'Amazon', 'FactMiners', 'USTC']",,0.21,15,2,33,7,2,4,2,15.0,16.0,90.0,1.1,0,25.62282
-140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3455,293,61,Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2023-02-21,2020-08-09,132,26.089536138079826,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",2023-02-21,10,"['0206pdh', '0xflotus', 'adin786@bigtincan', 'csheargm', 'csnelsonchu@superinsight.ai', 'davidmezzetti@neuml', 'hi019', 'hsm207@rasahq', 'lipusz@liferay']",5,10,"['bigtincan', 'liferay', 'neuml', 'rasahq', 'superinsight.ai']","['@RasaHQ ', '@neuml ', 'Bigtincan', 'Liferay Inc.', 'Superinsight.ai']",,6.19,60,49,31,0,11,11,11,60.0,112.0,90.0,1.9,0,41.76986
-462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3441,116,75,Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2023-02-21,2012-08-24,547,6.282472613458529,[],2022-10-25,18,"['airhorns', 'alin-luminoso', 'jacopofar@flix-tech', 'jaredly@khanacademy', 'jwilk', 'lumitim@luminoso', 'moss@luminoso', 'rmax@paige.ai', 'rspeer@elementalcognition', 'slibs63']",5,10,"['elementalcognition', 'flix-tech', 'khanacademy', 'luminoso', 'paige.ai']","['@flix-tech ', 'Elemental Cognition', 'Khan Academy', 'Luminoso', 'Paige.AI']",,0.04,4,1,128,4,0,13,13,4.0,2.0,90.0,0.5,0,32.82908
-833,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3405,914,128,C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2023-02-21,2016-08-20,339,10.027345393352967,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",2023-02-21,891,"['MicroDev1@microdevsystems', 'danicampora@embeddedconsultingbv', 'dhalbert', 'dpgeorge', 'glennrub', 'hierophect@adafruit', 'jepler@unpythonicnetworks', 'pfalcon', 'tannewt@chickadee-tech', 'weblate@weblateorg']",6,10,"['adafruit', 'chickadee-tech', 'embeddedconsultingbv', 'microdevsystems', 'unpythonicnetworks', 'weblateorg']","['@WeblateOrg ', '@chickadee-tech ', 'Adafruit', 'Embedded Consulting BV', 'MicroDev Systems', 'Unpythonic Networks ']",,34.56,529,347,79,0,29,38,29,530.0,1225.0,90.0,2.3,0,64.46755
-321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3373,441,58,Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2023-02-21,2014-11-20,430,7.828580901856764,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",2023-02-20,102,"['AlexCovizzi', 'AstraLuma', 'Fizzadar@beeper', 'ODtian', 'dependabot[bot]', 'javad94', 'r0x0r', 'sardination', 'sbbosco', 'shivaprsd']",1,10,['beeper'],['@Beeper '],,2.6,87,68,100,0,8,6,8,87.0,213.0,90.0,2.4,0,44.83771
-895,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3358,675,71,Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2023-02-20,2019-05-15,197,17.04568527918782,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",2023-02-20,101,"['AaronSpieler', 'arangatang', 'benidis@amazonai', 'dcmaddix@amazonwebservices', 'jaheba@awslabs', 'jgasthaus@meta', 'kashif', 'lostella@awsawsawslabs', 'rshyamsundar@amazon', 'vafl@amazon']",6,10,"['amazon', 'amazonai', 'amazonwebservices', 'awsawsawslabs', 'awslabs', 'meta']","['@awslabs', 'AWS @aws @awslabs', 'Amazon', 'Amazon AI', 'Amazon Web Services', 'Meta']",,7.06,247,189,46,0,40,22,40,247.0,271.0,90.0,1.1,0,51.78439
-897,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3355,193,68,Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2023-02-20,2017-04-24,304,11.025821596244132,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",2023-02-01,99,"['TyberiusPrime', 'arnfred', 'dan-blanchard@coiled', 'funnell@mskcc', 'gdowding', 'glamp', 'has2k1', 'hernamesbarbara', 'jankatins@kreuzwerker', 'matthias-k']",3,10,"['coiled', 'kreuzwerker', 'mskcc']","['@coiled ', '@kreuzwerker', 'MSKCC']",,2.98,26,8,71,1,3,2,3,26.0,34.0,90.0,1.3,0,40.46847
-421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3347,506,150,Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2023-02-21,2017-07-27,290,11.5073673870334,[],2023-02-17,151,"['YitaoLiang', 'alexnikulkov', 'badrinarayan@facebook', 'czxttkl', 'econti@banditml', 'gji1@facebookai', 'igfox', 'kaiwenw@cornell', 'kittipatv', 'sfujim@mcgilluniversity']",5,10,"['banditml', 'cornell', 'facebook', 'facebookai', 'mcgilluniversity']","['@banditml ', 'Cornell', 'Facebook', 'Facebook AI', 'McGill University']",,2.0,17,12,68,0,0,0,0,17.0,38.0,90.0,2.2,0,43.6301
-4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3334,579,60,Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2023-02-21,2019-02-26,208,16.017844886753604,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",2023-02-21,124,"['LeonLuttenberger@amazonwebservices', 'bryanyang0528@taiwansparkusergroup', 'cnfait@aws', 'dependabot[bot]', 'igorborgest@vtex', 'jaidisido@aws', 'kukushking', 'luigift', 'malachi-constant@amazonwebservices', 'maxispeicher@twaice']",5,10,"['amazonwebservices', 'aws', 'taiwansparkusergroup', 'twaice', 'vtex']","['@TWAICE ', '@TaiwanSparkUserGroup ', '@aws', '@vtex', 'AWS', 'Amazon Web Services']",,5.38,366,330,49,0,14,25,14,366.0,1265.0,90.0,3.5,0,54.18247
-99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3282,638,83,Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2023-02-21,2016-04-08,358,9.149342891278375,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",2023-02-21,43,"['abhiTronix@autodidact•researcher•open-sourcerer', 'asenyaev', 'asmorkalov@xperience.ai', 'c-martinez@nlesc', 'cclauss@christianclauss', 'johnthagen', 'native-api', 'sergregory', 'skvark@softlandia-ltd', 'vallentin']",5,10,"['autodidact•researcher•open-sourcerer', 'christianclauss', 'nlesc', 'softlandia-ltd', 'xperience.ai']","['@NLeSC ', '@Softlandia-Ltd', 'Autodidact • Researcher • Open-sourcerer', 'Christian Clauss', 'Xperience.AI']",,0.98,71,46,84,0,6,10,6,71.0,177.0,90.0,2.5,0,45.70774
-663,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3271,615,102,Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2023-02-20,2010-07-21,657,4.97869101978691,"['cython', 'python', 'zeromq']",2023-02-20,188,"['asteven', 'bluca@microsoft', 'claws', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'guidog', 'iblislin@chinamedicaluniversityhospital', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'sakurai-youhei']",5,10,"['amazonwebservices', 'chinamedicaluniversityhospital', 'microsoft', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@microsoft', 'Amazon Web Services', 'China Medical University Hospital', 'Simula Research Laboratory', 'University of California, Berkeley.']",,3.6,36,27,153,0,0,6,6,36.0,49.0,90.0,1.4,0,49.61757
-361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3255,320,78,,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2023-02-20,2016-12-26,321,10.131169408626056,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",2023-02-20,98,"['DXist', 'dependabot[bot]', 'gzcf', 'javidgon', 'lgeiger@plumerailarq', 'mmourafiq', 'polyaxon-ci', 'polyaxon-team', 'vfdev-5@quansight', 'wbuchwalter@microsoftresearch']",3,10,"['microsoftresearch', 'plumerailarq', 'quansight']","['@Quansight', '@plumerai @larq ', 'Microsoft Research']",,4.9,11,1,75,0,0,24,24,11.0,3.0,90.0,0.3,0,42.19509
-93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3254,671,114,C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2023-02-20,2011-10-09,593,5.483389504092441,[],2023-01-10,352,"['Darvame', 'Shir0kamii@numberly', 'aldur', 'awelzel', 'funkybob@codealchemy', 'prymitive', 'rdeioris@blitter', 'robygior@20tabsrl', 'unbit@unbit', 'xrmx@menodizero.it']",6,10,"['20tabsrl', 'blitter', 'codealchemy', 'menodizero.it', 'numberly', 'unbit']","['20tab Srl', 'Blitter', 'Code Alchemy', 'Unbit', 'menodizero.it', 'numberly']",,0.46,30,10,138,1,0,11,11,30.0,37.0,90.0,1.2,0,48.27038
-804,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3237,522,62,Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2023-02-21,2015-07-15,397,8.153652392947103,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",2023-02-16,61,"['Molkree', 'VincentM@untienots', 'aaqibb13@graphicweave', 'andreyrusanov', 'dependabot[bot]', 'etseidler', 'greyli', 'kurlov@redhat', 'miguelgrinberg', 'tsangwpx']",3,10,"['graphicweave', 'redhat', 'untienots']","['@Untienots', '@graphicweave', 'Red Hat']",,1.15,26,21,93,0,0,11,11,26.0,35.0,90.0,1.3,0,43.03178
-208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3237,761,146,Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2023-02-19,2021-05-08,93,34.59389312977099,[],2021-06-10,19,"['CyberPunkMetalHead', 'Davidobot@mazette!', 'FreshLondon@freshlondon', 'ShogunMan', 'Tarantinooo', 'amitman3', 'bcsingh50', 'datapush3r@splunk', 'getsec', 'singer-yang@kaust']",4,10,"['freshlondon', 'kaust', 'mazette!', 'splunk']","['@splunk', 'FreshLondon', 'KAUST', 'mazette!']",,0.0,3,0,22,21,0,0,0,3.0,0.0,90.0,0.0,0,17.23854
-557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3236,607,60,Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2023-02-20,2018-06-14,244,13.215869311551925,"['jupyter', 'sphinx-doc', 'documentation-generator']",2023-02-19,120,"['AakashGfude', 'SamLau95@data-8ds-100', 'choldgraf@ucberkeley', 'chrisjsewell@imperialcollegelondon', 'dependabot[bot]', 'emdupre@stanforduniversity', 'joergbrech', 'martinagvilas@ernststrüngmannandmax-planck-institute', 'mmcky', 'najuzilu@georgetownuniversity']",6,10,"['data-8ds-100', 'ernststrüngmannandmax-planck-institute', 'georgetownuniversity', 'imperialcollegelondon', 'stanforduniversity', 'ucberkeley']","['@data-8 @DS-100', 'Ernst Strüngmann and Max-Planck-Institute', 'Georgetown University', 'Imperial College London', 'Stanford University', 'UC Berkeley']",,1.38,86,34,57,0,5,8,5,86.0,157.0,90.0,1.8,0,47.33945
-319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3229,395,120,Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2023-02-21,2014-03-20,465,6.931309414290095,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",2023-02-01,56,"['Bethany-1', 'Eothred@europeanspallationsourceeric', 'Ksengine@moonharelabs', 'PURPORC', 'awesomebytes', 'cyberpro4', 'dddomodossola@imtssrl', 'mcondarelli', 'nzjrs', 'smurfix@norisnetworkag']",4,10,"['europeanspallationsourceeric', 'imtssrl', 'moonharelabs', 'norisnetworkag']","['@ImtsSrl ', '@moonharelabs', 'European Spallation Source ERIC', 'noris network AG']",,0.6,6,1,109,1,0,3,3,6.0,12.0,90.0,2.0,0,38.65468
-518,util,https://github.com/spack/spack,,,,spack/spack,spack,3207,1833,104,Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2023-02-20,2014-01-08,476,6.737394957983193,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",2023-02-21,1354,"['adamjstewart@universityofillinoisaturbana-champaign', 'alalazo@np-complete', 'becker33@llnl', 'darmac@(huawei)hisilicontechnologiesco.,limited.', 'davydden', 'glennpj', 'haampie', 'iarspider', 'michaelkuhn', 'tgamblin@llnl']",4,10,"['(huawei)hisilicontechnologiesco.,limited.', 'llnl', 'np-complete', 'universityofillinoisaturbana-champaign']","['(Huawei) HiSilicon Technologies CO.,LIMITED.', '@LLNL', '@LLNL ', 'University of Illinois at Urbana-Champaign', 'np-complete']",,85.79,2026,1443,111,0,6,5,6,2026.0,4724.0,90.0,2.3,0,65.81639
-966,ml-dl,https://github.com/facebookresearch/pytorch-biggraph,,,,facebookresearch/pytorch-biggraph,PyTorch-BigGraph,3188,437,93,Python,https://torchbiggraph.readthedocs.io/,PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.,facebookresearch,2023-02-20,2018-10-01,229,13.90404984423676,[],2022-12-08,29,"['StanislavGlebik', 'adamlerer', 'amyreese@omnilib', 'chandlerzuo@https://github.com/facebook', 'dmitryvinn@engineeringmanagerai/mlmeta', 'ezyang', 'indonoso', 'lw@facebook', 'rkindi@meta', 'simonepri@universityofcambridge,sapienzauniversityofrome']",6,10,"['engineeringmanagerai/mlmeta', 'facebook', 'https://github.com/facebook', 'meta', 'omnilib', 'universityofcambridge,sapienzauniversityofrome']","['@facebook', '@https://github.com/facebook', '@omnilib ', 'Engineering Manager AI/ML@Meta', 'Meta', 'University of Cambridge, Sapienza University of Rome']",,0.13,4,0,53,2,0,1,1,4.0,2.0,90.0,0.5,0,30.3107
-182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3186,462,41,Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2023-02-21,2016-09-17,335,9.494252873563218,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest', 'actions', 'pep-621']",2023-02-21,40,"['eumiro', 'gaborbernat@bloomberglp', 'gnikonorov', 'hexagonrecursion', 'jugmac00@canonical', 'kurtmckee', 'masenf@delltechnologies', 'q0w', 'ssbarnea@redhatansible', 'stephenfin@redhat']",5,10,"['bloomberglp', 'canonical', 'delltechnologies', 'redhat', 'redhatansible']","['@canonical', 'Bloomberg LP', 'Dell Technologies', 'Red Hat', 'Red Hat @ansible']",,4.48,421,376,78,0,54,29,54,421.0,971.0,90.0,2.3,0,51.88548
-443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3175,513,85,Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2023-02-20,2011-12-31,581,5.459346597887497,[],2023-02-13,144,"['aronbierbaum', 'brendan-ward@astutespruce', 'caspervdw@nelen&schuurmans', 'jorisvandenbossche', 'jwass', 'mwtoews@gnsscience', 'olt@omniscale', 'sgillies@planetlabs', 'snorfalorpagus', 'tomplex@faradayio']",6,10,"['astutespruce', 'faradayio', 'gnsscience', 'nelen&schuurmans', 'omniscale', 'planetlabs']","['@faradayio', '@planetlabs', 'Astute Spruce, LLC', 'GNS Science', 'Nelen & Schuurmans', 'Omniscale']",,3.44,193,122,136,0,13,9,13,193.0,635.0,90.0,3.3,0,55.45947
-348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,3172,341,35,Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2023-02-21,2020-11-25,117,27.11111111111111,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",2023-02-20,35,"['0lgaF', 'AntonisCSt', 'Liraim', 'SangamSwadiK', 'Tapot@intento,evidentlyai', 'burkovae', 'elenasamuylova@evidentlyai', 'emeli-dral', 'inderpreetsingh01', 'strickvl@zenml']",3,10,"['evidentlyai', 'intento,evidentlyai', 'zenml']","['Evidently AI', 'Intento, Evidently AI', 'ZenML']",,14.87,78,64,27,0,22,20,22,78.0,77.0,90.0,1.0,0,44.02081
-250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3166,730,90,Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2023-02-18,2010-12-28,634,4.992565893219194,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",2023-02-05,207,"['Mottl', 'allanlewis@piclo', 'bubbleboy14', 'ekeydar', 'engn33r@yacademy', 'hugovk@nordsoftware', 'liris', 'louisliu', 'mjhanninen', 'ralphbean@redhat,inc']",4,10,"['nordsoftware', 'piclo', 'redhat,inc', 'yacademy']","['@piclo', 'Nord Software', 'Red Hat, Inc', 'yAcademy']",,0.75,34,28,148,1,9,6,9,34.0,57.0,90.0,1.7,0,46.7638
-384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3162,650,74,Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2023-02-21,2019-04-13,201,15.686746987951807,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",2022-05-22,21,"['biranchi2018', 'carlos-aguayo@appian', 'charliekmorris', 'chrisrytting@byuperception,cognition,andcontrollab', 'duhaime@universityofnotredame', 'erjanmx', 'gte620v', 'k0a1a@cosmicberlin', 'minimaxir@buzzfeed', 'woctezuma']",5,10,"['appian', 'buzzfeed', 'byuperception,cognition,andcontrollab', 'cosmicberlin', 'universityofnotredame']","['@CosmicBerlin ', '@appian', '@buzzfeed ', 'BYU Perception, Cognition, and Control Lab', 'University of Notre Dame']",,0.02,9,1,47,9,0,4,4,9.0,7.0,90.0,0.8,0,28.64718
-35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3158,592,122,Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2023-02-20,2013-01-04,528,5.972980275601189,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",2023-02-19,47,"['danielquinn', 'dieterv77', 'eddiechapman', 'hugovk@nordsoftware', 'jkyeung', 'jmcnamara', 'jonasdiemer', 'jvrsantacruz', 'krysros', 'percious@crunch.io']",2,10,"['crunch.io', 'nordsoftware']","['Crunch.io', 'Nord Software']",,1.1,42,34,123,0,0,15,15,42.0,102.0,90.0,2.4,0,44.30669
-381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,3157,196,37,TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2023-02-21,2019-05-31,194,16.213499633162144,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",2023-02-09,52,"['KaroMourad@aim', 'SGevorg@aimhubio', 'VkoHov@aimhub', 'alberttorosyan', 'arsengit@aimstack', 'devfox-se', 'gorarakelyan@aimstack', 'mihran113@aimhubio', 'roubkar@aimhubio', 'rubenaprikyan@aimhub']",4,10,"['aim', 'aimhub', 'aimhubio', 'aimstack']","['@aimhubio', '@aimhubio ', 'Aim', 'AimHub', 'AimStack', 'Aimhub']",,11.23,240,154,45,0,41,41,41,240.0,330.0,90.0,1.4,0,49.38852
-0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3153,623,94,Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2023-02-21,2012-04-18,566,5.570671378091872,[],2023-01-05,102,"['adamgreenhall', 'andialbrecht', 'darikg', 'dbczumar', 'jdufresne@pioneervalleybooks', 'mrmasterplan@delegate.dk', 'phdru', 'piranna@mafalda-sfu', 'sjoerdjob', 'vmuriart']",3,10,"['delegate.dk', 'mafalda-sfu', 'pioneervalleybooks']","['@Mafalda-SFU', 'Delegate.dk', 'Pioneer Valley Books']",,0.71,35,11,132,2,0,3,3,35.0,58.0,90.0,1.7,0,40.46812
-905,util,https://github.com/pypi/warehouse,,,,pypi/warehouse,warehouse,3146,910,103,Python,https://pypi.org,warehouse: The Python Package Index,pypi,2023-02-20,2013-03-30,516,6.090154867256637,[],2023-02-19,332,"['brainwane@changesetconsulting', 'dependabot[bot]', 'di@google', 'dstufft@datadog', 'ewdurbin@psf', 'miketheman', 'nlhkabu', 'pyup-bot@pyupio', 'weblate@weblateorg', 'woodruffw@trailofbits']",7,10,"['changesetconsulting', 'datadog', 'google', 'psf', 'pyupio', 'trailofbits', 'weblateorg']","['@DataDog', '@WeblateOrg ', '@google', '@psf', '@pyupio', '@trailofbits ', 'Changeset Consulting']",,8.96,585,451,120,0,0,0,0,584.0,692.0,90.0,1.2,0,53.89572
-610,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3128,756,121,Python,https://seleniumbase.io,SeleniumBase: A Python browser automation framework for creating reliable end-to-end tests.,seleniumbase,2023-02-21,2014-03-04,468,6.681721086359475,"['python', 'selenium', 'webdriver', 'selenium-python', 'e2e-testing', 'seleniumbase', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'chrome', 'webkit', 'chromedriver', 'firefox', 'test', 'python3']",2023-02-18,35,"['TaylorMcGinnis', 'aklajnert@akamaitechnologies', 'alexrudd2@numat', 'dimaspivak@streamsets', 'johnhiggs', 'mdmintz@https://www.iboss.com/', 'piotrkochan', 'rogererens', 'stevemachacz@nausetconsulting', 'surevs']",5,10,"['akamaitechnologies', 'https://www.iboss.com/', 'nausetconsulting', 'numat', 'streamsets']","['@numat ', '@streamsets ', 'Akamai Technologies', 'Nauset Consulting', 'https://www.iboss.com/']",,25.67,156,155,109,0,148,87,148,156.0,233.0,90.0,1.5,0,52.56264
-260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3125,810,75,Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2023-02-21,2010-05-29,664,4.702278589853826,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",2023-01-09,165,"['artynusov', 'davidchambers', 'facelessuser', 'lahwaacz', 'lama7', 'mdirolf', 'mitya57@theinterfacefinancialgroup', 'slig', 'waylan', 'yuri@rangle.io']",2,10,"['rangle.io', 'theinterfacefinancialgroup']","['The Interface Financial Group', 'rangle.io']",,0.62,18,15,155,1,0,4,4,18.0,38.0,90.0,2.1,0,42.01948
-832,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3123,387,199,Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2023-02-20,2012-10-26,538,5.797136038186157,[],2019-08-15,65,"['aterrel@numfocus', 'brittainhard', 'cpcloud@voltrondata', 'kwmsmith', 'llllllllll@formerlyquantopian', 'markflorisson@mlabs', 'mrocklin@coiled', 'mwiebe@awsthinkbox', 'sdiehl', 'teoliphant@quansight,openteams']",7,10,"['awsthinkbox', 'coiled', 'formerlyquantopian', 'mlabs', 'numfocus', 'quansight,openteams', 'voltrondata']","['@coiled ', '@voltrondata', 'AWS Thinkbox', 'MLabs', 'NumFOCUS', 'Quansight, OpenTeams', 'formerly @quantopian']",,0.0,2,1,126,43,0,5,5,2.0,0.0,90.0,0.0,0,28.6932
-715,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,3112,326,267,Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2023-02-21,2019-10-21,174,17.85573770491803,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",2023-02-14,114,"['EngHabu@flyteorg', 'SandraGH5@union.ai', 'SmritiSatyanV', 'cosmicBboy@unionai', 'evalsocket@unionai', 'flyte-bot', 'jeevb@freenome', 'katrogan@unionai', 'kumare3@unionai', 'wild-endeavor']",4,10,"['flyteorg', 'freenome', 'union.ai', 'unionai']","['@flyteorg ', '@unionai', '@unionai ', 'Freenome', 'Union.ai', 'unionai']",,5.0,377,155,41,0,28,25,28,377.0,320.0,90.0,0.8,0,49.18723
-336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,3111,488,113,Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2023-02-21,2017-06-30,294,10.55598642753272,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",2023-02-20,145,"['1duo', 'TobyRoseman@apple', 'aseemw', 'bhushan23@stealthmode', 'fukatani', 'gustavla', 'jakesabathia2', 'slin07@apple', 'srikris@apple', 'tonybove-apple@expertsupport-apple']",3,10,"['apple', 'expertsupport-apple', 'stealthmode']","['@apple', 'Apple', 'Expert Support - Apple', 'Stealth Mode']",,2.08,143,80,69,0,6,6,6,143.0,317.0,90.0,2.2,0,47.78229
-363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3107,1382,102,Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2023-02-21,2018-05-12,249,12.449341728677734,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",2023-02-20,359,"['Ark-kun@google', 'Bobgy@google', 'IronPan@google', 'SinaChavoshi@google', 'chensun@google', 'connor-mccarthy@google', 'gaoning777@google', 'hongye-sun', 'rileyjbauer', 'zijianjoy']",1,10,['google'],"['@Google', '@google', 'Google']",,14.94,724,341,58,0,32,28,32,723.0,1455.0,90.0,2.0,0,53.50119
-221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,3088,194,43,Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2023-02-21,2021-03-27,99,31.012912482065996,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",2023-02-15,44,"['agoose77', 'bollwyvl', 'dependabot[bot]', 'dsblank@comet-ml', 'github-actions[bot]', 'joemarshall', 'jtpio@quantstack', 'madhur-tandon', 'martinRenou@quantstack', 'psychemedia@theopenuniversity']",3,10,"['comet-ml', 'quantstack', 'theopenuniversity']","['@QuantStack', '@comet-ml ', 'The Open University']",,12.98,135,71,23,0,19,459,19,135.0,370.0,90.0,2.7,0,46.84988
-138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3081,327,70,TypeScript,https://pair-code.github.io/lit,lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,pair-code,2023-02-20,2020-07-28,134,22.968051118210862,"['machine-learning', 'natural-language-processing', 'visualization']",2022-12-02,27,"['EmilyReif', 'RyanMullins@google', 'ankurtaly', 'aryan1107', 'cjqian@deepmind', 'eberts-google', 'ellenjiang7', 'iftenney@google', 'jameswex@google', 'tolga-b@google']",2,10,"['deepmind', 'google']","['@deepmind', '@google ', 'Google', 'Google, Inc.']",,6.21,88,75,31,3,1,3,1,88.0,17.0,90.0,0.2,0,31.1621
-42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3059,242,61,Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2023-02-21,2017-05-05,302,10.105238319962247,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",2022-09-18,13,"['ArchangeGabriel@archlinux', 'Inokenty90', 'Reindert94', 'davebulaval@baseline.québec', 'eliadl', 'juliangilbey@universityofcambridge', 'kinow@barcelonasupercomputingcenter', 'maxbachmann', 'orsinium@sendcloud', 'wynksaiddestroy']",5,10,"['archlinux', 'barcelonasupercomputingcenter', 'baseline.québec', 'sendcloud', 'universityofcambridge']","['@ArchLinux', '@sendcloud', 'Barcelona Supercomputing Center', 'Baseline.québec', 'University of Cambridge']",,0.79,0,0,71,5,3,2,3,0.0,0.0,90.0,0.0,0,25.64275
-698,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,3056,366,63,Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2023-02-21,2010-05-07,667,4.576807873341891,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",2023-02-20,117,"['GaelVaroquaux', 'aabadie@inria', 'esc@anaconda', 'lesteve', 'ogrisel@inria', 'pberkes@nagra,kudelski', 'pgervais', 'pierreglaser@ucl', 'tomMoral@inriasaclay-parietalteam', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",6,10,"['anaconda', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'inria', 'inriasaclay-parietalteam', 'nagra,kudelski', 'ucl']","['Anaconda Inc.', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'INRIA Saclay - Parietal team', 'Inria', 'Nagra, Kudelski', 'UCL']",,0.85,64,36,156,0,0,6,6,64.0,102.0,90.0,1.6,0,48.44274
-285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,3054,782,244,Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2023-02-21,2018-09-20,230,13.228960396039604,[],2023-02-20,135,"['CarlBeek@ethereum', 'JustinDrake', 'dankrad', 'djrtwo@ctrl^t', 'hwwhww', 'mkalinin', 'protolambda@oplabs', 'ralexstokes', 'terencechain', 'vbuterin']",3,10,"['ctrl^t', 'ethereum', 'oplabs']","['@ethereum', 'Ctrl^T', 'OP Labs']",,11.0,187,147,54,0,12,16,12,187.0,266.0,90.0,1.4,0,49.79512
-765,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,3021,238,32,Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2023-02-21,2022-09-02,24,122.23699421965318,"['outpainting', 'stablediffusion']",2023-01-24,7,"['LEBMD', 'adripo', 'donlinglok', 'ipsin', 'lkwq007@cuhk', 'mspiegel@thoughtdealership', 'tpsjr7']",2,10,"['cuhk', 'thoughtdealership']","['CUHK', 'Thought Dealership']",,4.56,46,19,6,1,0,6,6,46.0,72.0,90.0,1.6,0,29.38463
-390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,3019,431,123,Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2023-02-21,2021-12-10,62,48.13895216400911,[],2022-03-21,4,"['kcosta42', 'lochiego@texasa&mcenterforappliedtechnology', 'prafullasd', 'unixpickle']",1,10,['texasa&mcenterforappliedtechnology'],['Texas A&M Center for Applied Technology'],,0.0,0,0,15,11,0,0,0,0.0,0.0,90.0,0.0,0,8.55258
-139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,3017,606,119,Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2023-02-19,2013-03-21,517,5.825931034482759,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",2023-01-23,183,"['adamlwgriffiths@twistedpairdevelopment', 'almarklein@independentsoftwareengineer', 'asnt', 'bollu@universityofedinburgh', 'brisvag@gutsche-lab', 'campagnola', 'djhoese@spacescienceandengineeringcenter(ssec)', 'larsoner@universityofwashington', 'rossant@int-brain-labcortex-lab', 'rougier@inria']",8,10,"['gutsche-lab', 'independentsoftwareengineer', 'inria', 'int-brain-labcortex-lab', 'spacescienceandengineeringcenter(ssec)', 'twistedpairdevelopment', 'universityofedinburgh', 'universityofwashington']","['@INRIA ', '@gutsche-lab ', '@int-brain-lab @cortex-lab ', 'Independent software engineer', 'Space Science and Engineering Center (@ssec)', 'Twisted Pair Development', 'University of Edinburgh', 'University of Washington']",,3.4,37,21,121,1,4,3,4,37.0,155.0,90.0,4.2,0,52.2889
-272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,3003,448,72,Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-02-20,2010-08-19,652,4.599781181619256,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",2023-02-19,220,"['13steinj', 'Damgaard@billy', 'LilSpazJoekp@indeed', 'PythonCoderAS', 'bboe@netflix', 'jarhill0@appfolio', 'leviroth', 'nmtake', 'tmelz', 'voussoir']",4,10,"['appfolio', 'billy', 'indeed', 'netflix']","['@appfolio', '@netflix', 'Billy', 'Indeed, Inc.']",,1.38,36,30,152,0,2,12,2,36.0,51.0,90.0,1.4,0,46.59109
-156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,3002,290,40,Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2023-02-20,2020-08-05,133,22.571428571428573,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",2023-02-17,17,"['DancingSnow0517', 'PeterStolz@bitahoy', 'colesbury@facebookairesearch', 'comzyh', 'gaogaotiantian@microsoft', 'imba-tjd', 'kianmeng', 'maartenbreddels@maartenbreddels', 'ogrisel@inria', 'tanloong']",5,10,"['bitahoy', 'facebookairesearch', 'inria', 'maartenbreddels', 'microsoft']","['@bitahoy ', '@maartenbreddels', 'Facebook AI Research', 'Inria', 'Microsoft']",,1.06,20,14,31,0,7,30,7,20.0,41.0,90.0,2.0,0,38.85401
-703,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,2991,613,88,Python,,openai-python: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.,openai,2023-02-21,2020-10-25,121,24.631764705882354,"['openai', 'python']",2023-02-07,43,"['BorisPower', 'borisdayma', 'cmurtz-msft@microsoft', 'ddeville@openai', 'hallacy@openai', 'lilianweng', 'logankilpatrick@openaijulialang', 'mpokrass', 'rachellim@openai', 'sorinsuciu-msft@microsoft']",3,10,"['microsoft', 'openai', 'openaijulialang']","['@OpenAI @JuliaLang', '@openai', '@openai ', 'Microsoft']",,1.31,92,75,28,0,18,21,18,93.0,167.0,90.0,1.8,0,42.6869
-729,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,2986,193,27,Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2023-02-21,2021-10-12,71,41.971887550200805,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",2023-02-17,60,"['abhi-mosaic@mosaicml', 'bandish-shah', 'dakinggg', 'dependabot[bot]', 'dskhudia', 'eracah@mosaicml', 'hanlint@mosaicml', 'moinnadeem', ""mvpatel2000@stanford'22"", 'ravi-mosaicml']",2,10,"['mosaicml', ""stanford'22""]","['MosaicML', ""Stanford '22""]",,23.0,265,244,17,0,16,21,16,265.0,228.0,90.0,0.9,0,44.68434
-623,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2971,134,73,Python,,funcy: A fancy and practical functional tools,suor,2023-02-18,2012-10-13,540,5.496035940803383,"['functional-programming', 'utilities', 'python']",2023-02-19,31,"['AndrewWalker', 'Suor', 'browniebroke@festicket', 'despawnerer', 'eprykhodko', 'lukmdo', 'rocco66', 'taleinat', 'timgates42@iress', 'volker48@obsidian-security']",3,10,"['festicket', 'iress', 'obsidian-security']","['@obsidian-security ', 'Festicket', 'IRESS']",,0.29,4,3,126,0,0,5,5,4.0,6.0,90.0,1.5,0,37.72886
-811,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2967,203,26,Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2023-02-21,2020-01-20,161,18.395925597874225,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks']",2023-01-31,72,"['94rain', 'Wxl19980214', 'dependabot[bot]', 'e1ha', 'edublancas@ploomber', 'fferegrino', 'grnnja', 'idomic', 'neelasha23', 'yafimvo']",1,10,['ploomber'],['Ploomber'],,10.35,41,33,38,1,0,35,35,41.0,56.0,90.0,1.4,0,41.29058
-270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2966,372,40,Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2023-02-21,2018-12-21,217,13.623359580052494,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",2023-02-19,181,"['BryceBeagle@robinhood', 'DoctorJohn', 'botberry@strawberry-graphql', 'dependabot-preview[bot]', 'dependabot[bot]', 'estyxx@madedotcom', 'jkimbo', 'marcoacierno', 'patrick91@apollographql', 'pre-commit-ci[bot]']",4,10,"['apollographql', 'madedotcom', 'robinhood', 'strawberry-graphql']","['@apollographql ', '@madedotcom', '@strawberry-graphql', 'Robinhood']",,12.08,330,195,51,0,172,124,172,330.0,666.0,90.0,2.0,0,54.53994
-366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2956,309,52,Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2023-02-19,2020-04-09,149,19.725452812202096,[],2022-12-28,34,"['QuentinDuval', 'akainth015', 'amyreese@omnilib', 'bottler', 'growlix@mosaicml', 'iseessel@meta', 'jingli9111@openai', 'mannatsingh@facebook', 'min-xu-ai', 'prigoyal@google']",6,10,"['facebook', 'google', 'meta', 'mosaicml', 'omnilib', 'openai']","['@omnilib ', 'Facebook', 'Google', 'Meta', 'MosaicML', 'OpenAI']",,1.02,12,2,35,2,0,1,1,12.0,22.0,90.0,1.8,0,34.79811
-77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2946,419,89,Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2023-02-16,2014-09-30,438,6.723834365829801,[],2020-04-07,30,"['TimShawver', 'andyfaff', 'blink1073@mongodb', 'consideRatio@sundellopensourceconsultingab', 'fhgd', 'greenberga', 'hottwaj', 'itcarroll', 'snth', 'ssanderson']",2,10,"['mongodb', 'sundellopensourceconsultingab']","['MongoDB', 'Sundell Open Source Consulting AB']",,0.0,7,0,102,35,0,3,3,7.0,3.0,90.0,0.4,0,22.79335
-792,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2944,232,79,Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2023-02-21,2022-07-15,31,92.82882882882883,[],2023-02-21,45,"['antinucleon@facebook', 'chenyang78@meta', 'frank-wei', 'hl475', 'ipiszy@facebook', 'muchulee8', 'qxy11', 'tenpercent', 'terrychenism', 'tissue3@cornelluniversity']",3,10,"['cornelluniversity', 'facebook', 'meta']","['Cornell University', 'Facebook', 'Meta']",,3.08,218,169,7,0,2,3,2,218.0,673.0,90.0,3.1,0,40.09043
-624,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2943,235,36,Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2023-02-21,2012-04-26,564,5.210166919575114,[],2023-01-26,96,"['MarcinKonowalczyk@universityofoxford', 'N8Brooks', 'bbayles@wurlinc', 'diazona', 'erikrose@mozillagoogle', 'ilai-deutel@google', 'jaraco@google', 'jferard', 'michael-celani', 'nanouasyn']",4,10,"['google', 'mozillagoogle', 'universityofoxford', 'wurlinc']","['@google', '@mozilla @google', '@wurlinc ', 'Google', 'University of Oxford']",,1.46,28,13,132,0,3,4,3,28.0,49.0,90.0,1.8,0,44.82288
-704,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2938,230,48,Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2023-02-21,2012-10-10,541,5.430683918669131,"['python', 'data-validation']",2021-05-05,63,"['CD3@forthaysstateuniversity(fhsu)', 'baubie@qreserve', 'calve', 'crunk1', 'dkellner', 'funkyfuture', 'girogiro', 'hvdklauw@zupr-io', 'martijnvermaat', 'nicolaiarocci@cir2000']",4,10,"['cir2000', 'forthaysstateuniversity(fhsu)', 'qreserve', 'zupr-io']","['@zupr-io ', 'CIR 2000', 'Fort Hays State University (FHSU)', 'QReserve Inc.']",,0.0,7,2,126,22,0,2,2,7.0,8.0,90.0,1.1,0,30.76206
-476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2925,362,95,Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2023-02-21,2015-12-23,374,7.820855614973262,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",2023-02-16,52,"['ceball', 'gbrener', 'ianthomas23@anaconda', 'jbcrail', 'jbednar@anaconda', 'jcrist@voltrondata', 'jonmmease@hextechnologies', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'hextechnologies', 'voltrondata']","['@azavea', '@voltrondata', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies']",,1.88,47,32,87,0,5,14,5,47.0,62.0,90.0,1.3,0,43.46955
-937,ml-dl,https://github.com/williamyang1991/vtoonify,,,,williamyang1991/vtoonify,VToonify,2921,356,61,Jupyter Notebook,,[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer,williamyang1991,2023-02-21,2022-09-09,23,123.17469879518072,"['face', 'siggraph-asia', 'style-transfer', 'stylegan2', 'toonify', 'video-style-transfer']",2023-02-15,4,"['AK391@huggingface', 'EndlessSora@nanyangtechnologicaluniversity', 'neeksor', 'williamyang1991@ntu']",3,10,"['huggingface', 'nanyangtechnologicaluniversity', 'ntu']","['Huggingface', 'NTU', 'Nanyang Technological University']",,3.21,22,7,6,0,0,0,0,22.0,48.0,90.0,2.2,0,27.00609
-660,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2915,663,155,C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2023-02-21,2017-09-29,281,10.3473630831643,[],2023-02-02,333,"['artemrakhov-glow', 'bertmaher', 'gcatron', 'jackm321@facebook', 'jfix71', 'nadavrot', 'nickgg', 'opti-mix', 'qcolombet', 'yinghai@facebook']",1,10,['facebook'],"['@facebook ', 'Facebook']",,2.73,28,5,66,1,0,0,0,28.0,43.0,90.0,1.5,0,37.76108
-761,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2896,775,97,OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2023-02-19,2018-12-12,219,13.223744292237443,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",2023-02-20,158,"['SooluThomas@ibm', 'delapuente@ibmquantum', 'derivation@ibm', 'diego-plan9@ibmresearch', 'hushaohan@jpmorganchase&co.', 'jakelishman@ibm', 'jaygambetta@ibm', 'mtreinish', 'nonhermitian@ibm', 'qiskit-bot']",4,10,"['ibm', 'ibmquantum', 'ibmresearch', 'jpmorganchase&co.']","['@IBM', '@IBM ', '@IBMQuantum', '@IBMResearch ', 'IBM', 'JPMorgan Chase & Co.']",,1.6,55,30,51,0,16,21,16,57.0,41.0,90.0,0.7,0,45.67915
-709,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2896,175,26,Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2023-02-21,2019-03-10,206,14.029065743944637,"['pandas', 'python', 'parallel']",2023-02-12,25,"['alvail', 'apahl@mpiofmolecularphysiology(dortmund)', 'bra-fsn', 'dice89@outsmart.aigmbh', 'jorenham@boatboatboat', 'masguit42@intema.ai', 'nalepae@https://www.kiln.fi/', 'till-m@swissdatasciencecenter', 'tobiasedwards', 'vaaaaanquish@caddi']",7,10,"['boatboatboat', 'caddi', 'https://www.kiln.fi/', 'intema.ai', 'mpiofmolecularphysiology(dortmund)', 'outsmart.aigmbh', 'swissdatasciencecenter']","['@SwissDataScienceCenter', 'BoatBoatBoat', 'CADDi inc.', 'INTEMA.AI', 'MPI of Molecular Physiology (Dortmund)', 'https://www.kiln.fi/', 'outsmart.ai GmbH']",,0.96,32,21,48,0,8,10,8,32.0,61.0,90.0,1.9,0,42.88483
-488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2875,878,106,Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2023-02-21,2013-09-30,490,5.863927738927739,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",2023-02-14,411,"['Illviljan', 'clarkfitzg@mathandstatsdepartment', 'dcherian@ncar', 'fmaussion@universityofinnsbruck', 'fujiisoup', 'keewis', 'mathause@iacethzurich', 'max-sixty', 'shoyer@google', 'spencerkclark@allenai/noaa-gfdl']",6,10,"['allenai/noaa-gfdl', 'google', 'iacethzurich', 'mathandstatsdepartment', 'ncar', 'universityofinnsbruck']","['@NCAR', '@allenai / @NOAA-GFDL', '@google ', 'IAC @ ETH Zurich', 'Math and Stats Department', 'University of Innsbruck']",,8.63,314,156,114,0,9,8,9,314.0,666.0,90.0,2.1,0,58.05233
-261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2875,248,46,Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2023-02-20,2021-07-28,82,35.0609756097561,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",2023-02-15,14,"['Emerald01@salesforceresearch', 'Shreyanand@redhat', 'aadyotb@salesforce', 'chenghaoliu89', 'cnll0075', 'isenilov@twilio', 'jonwiggins@chartbeatillinoishackny', 'paulkass', 'rafaelleinio@wandercom', 'uchiiii']",6,10,"['chartbeatillinoishackny', 'redhat', 'salesforce', 'salesforceresearch', 'twilio', 'wandercom']","['@Chartbeat @Illinois @hackny', '@Salesforce', '@wandercom', 'Red Hat Inc.', 'Salesforce Research', 'Twilio']",,0.77,15,12,19,0,13,12,13,15.0,10.0,90.0,0.7,0,35.99737
-787,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2865,486,94,Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2023-02-20,2019-02-05,211,13.569012178619756,[],2023-02-06,44,"['adrienbrunet', 'bobthemighty@carbon-re', 'daniel-butler', 'gaiachik@madedotcom', 'hjwp', 'katherinetozer', 'luanchang', ""nadamsoreilly@o'reillymedia"", 'susanmade', 'xtaje']",3,10,"['carbon-re', 'madedotcom', ""o'reillymedia""]","['@carbon-re ', '@madedotcom ', ""O'Reilly Media""]",,0.19,1,0,49,0,0,0,0,1.0,0.0,90.0,0.0,0,27.68912
-154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2839,195,55,Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2023-02-21,2019-06-12,193,14.709844559585493,"['pandas', 'dataframe', 'gui', 'viewer']",2022-03-16,13,"['John-Ted', 'Marco-Ray', 'SayonB', 'adamerose', 'fdion@dionresearch', 'guilecardoso', 'jmartens', 'mswastik', 'slabko']",1,10,['dionresearch'],['Dion Research LLC'],,0.02,8,3,45,11,0,12,12,8.0,9.0,90.0,1.1,0,24.22223
-170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2793,384,50,Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2023-02-21,2020-05-04,146,19.0927734375,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",2023-02-17,36,"['HansikaPH', 'Kevin-Chen0', 'LeonieFreisinger', 'MateusGheorghe@stanforduniversity', 'alfonsogarciadecorral', 'bhausleitner', 'judussoari', 'karl-richter@technicaluniversityofmunich', 'noxan', 'ourownstory@stanforduniversity']",2,10,"['stanforduniversity', 'technicaluniversityofmunich']","['Stanford University', 'Technical University of Munich']",,6.92,245,157,34,0,8,6,8,245.0,354.0,90.0,1.4,0,42.54581
-203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2791,137,48,Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2023-02-20,2021-04-06,98,28.438136826783115,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",2021-05-06,4,"['JopaXd', 'LukasMasuch', 'adriangb', 'raethlein']",0,10,[],[],,0.0,9,4,23,22,0,6,6,9.0,6.0,90.0,0.7,0,12.97685
-641,testing,https://github.com/behave/behave,,,,behave/behave,behave,2769,608,119,Python,,"behave: BDD, Python style.",behave,2023-02-18,2011-10-25,591,4.684146930884485,[],2022-12-19,86,"['Katherinesun@smartsgroupmarketsurveillance,nasdaqomx', 'berdroid', 'bittner@painless-software', 'florentx', 'jeamland', 'jenisys', 'johbo@bo-techgmbh&co.kg', 'msabramo@adobe', 'r1chardj0n3s', 'vrutkovs@redhat']",5,10,"['adobe', 'bo-techgmbh&co.kg', 'painless-software', 'redhat', 'smartsgroupmarketsurveillance,nasdaqomx']","['@adobe', '@painless-software ', 'Red Hat', 'SMARTS Group Market Surveillance, NASDAQ OMX', 'bo-tech GmbH & Co. KG']",,0.83,19,11,138,14,0,1,1,19.0,33.0,90.0,1.7,0,36.51534
-34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2714,230,43,Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2023-02-19,2020-04-06,150,18.05893536121673,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",2022-10-28,20,"['ParthGandhi', 'Peritract@sigmalabs', 'cedricconol', 'henrifroese@imctrading', 'ishanarora04', 'jbesomi', 'mk2510@aaltouniversity', 'selimelawwa@incorta', 'sleeper', 'vidyap-xgboost@fiolabs-internal']",5,10,"['aaltouniversity', 'fiolabs-internal', 'imctrading', 'incorta', 'sigmalabs']","['@Incorta ', '@fiolabs-internal ', 'Aalto University', 'IMC Trading', 'Sigma Labs']",,0.04,4,1,35,4,0,2,2,4.0,3.0,90.0,0.8,0,28.15597
-915,util,https://github.com/ets-labs/python-dependency-injector,1.0,,,ets-labs/python-dependency-injector,python-dependency-injector,2685,200,45,Python,https://python-dependency-injector.ets-labs.org/,python-dependency-injector: Dependency injection framework for Python,ets-labs,2023-02-21,2015-01-04,424,6.326152810501514,"['python', 'dependency-injection', 'ioc', 'ioc-container', 'factory', 'singleton', 'design-patterns', 'dependency-injection-container', 'dependency-injection-framework', 'flask', 'aiohttp', 'asyncio', 'python3', 'python-3', 'python-2', 'flask-application', 'flask-restful', 'threadlocal']",2022-12-19,29,"['ebr@brodsky.dev', 'kinow@barcelonasupercomputingcenter', 'kootoopas@nuclearmode', 'metaperl', 'piperubio@silocydataspa', 'rda-dev', 'rmk135@ets-labspythontechnicalleader', 'sonthonaxrk', 'withshubh@tooljet', 'xotonic@lux-core']",7,10,"['barcelonasupercomputingcenter', 'brodsky.dev', 'ets-labspythontechnicalleader', 'lux-core', 'nuclearmode', 'silocydataspa', 'tooljet']","['@LUX-Core ', '@ToolJet', '@ets-labs Python Technical Leader', '@nuclearmode', 'Barcelona Supercomputing Center', 'SilocyData SPA', 'brodsky.dev']",,0.67,40,16,99,2,0,40,40,40.0,37.0,90.0,0.9,0,42.20074
-130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2669,270,82,Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2023-02-21,2014-10-16,435,6.123566043920026,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",2023-02-15,61,"['adrianeboyd', 'danieldk@explosion', 'henningpeters', 'honnibal@founderexplosion', 'ines@founderexplosion', 'justindujardin@dujardinconsulting,mathy', 'shadeMe', 'svlandeg@explosion&oxykodit', 'syllog1sm@founderexplosion', 'tiangolo']",4,10,"['dujardinconsulting,mathy', 'explosion', 'explosion&oxykodit', 'founderexplosion']","['@explosion ', 'DuJardin Consulting, @mathy', 'Explosion & OxyKodit', 'Founder @explosion', 'Founder @explosion ']",,3.23,56,48,102,0,13,11,13,56.0,36.0,90.0,0.6,0,45.30759
-111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2647,326,70,Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2023-02-17,2016-09-15,335,7.881327094853254,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",2020-01-22,14,"['AshwinB-hat', 'ivanprado@www.ivanprado.es', 'jnothman@canva', 'kmike@zytedata,scrapinghub', 'krkd', 'lopuhin@zyte', 'mehaase@infosecandaimitre', 'rg2410@gardeassetmanagement', 'teabolt', 'zzz4zzz']",6,10,"['canva', 'gardeassetmanagement', 'infosecandaimitre', 'www.ivanprado.es', 'zyte', 'zytedata,scrapinghub']","['@zytedata, @ScrapingHub', 'Canva', 'Garde Asset Management', 'Infosec and AI @MITRE', 'Zyte', 'www.ivanprado.es']",,0.0,2,0,78,38,0,4,4,2.0,1.0,90.0,0.5,0,24.11151
-113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2647,461,97,C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2023-02-18,2017-07-03,294,8.994660194174758,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",2021-06-22,21,"['Abhijit-2592@mlgoogle', 'Elizabeth2507', 'bgamari@welltypedllp', 'cbiehl', 'janithwanni@universityofsrijayewardenepura', 'julien-c@huggingface', 'ravenscroftj@filamentai', 'shepdl', 'svlandeg@explosion&oxykodit', 'thomwolf@huggingface']",6,10,"['explosion&oxykodit', 'filamentai', 'huggingface', 'mlgoogle', 'universityofsrijayewardenepura', 'welltypedllp']","['@FilamentAI ', '@huggingface ', 'Explosion & OxyKodit', 'ML @Google', 'University of Sri Jayewardenepura', 'Well Typed LLP']",,0.0,5,2,69,20,0,1,1,5.0,3.0,90.0,0.6,0,26.26732
-428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2645,272,34,Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2023-02-21,2014-09-13,440,6.003566796368353,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",2023-02-14,172,"['asottile', 'carljm@instagram', 'ericvw@bloomberg', 'florentx', 'jdufresne@pioneervalleybooks', 'pre-commit-ci[bot]', 'scop@upcloudltd', 'sigmavirus24@tableau&salesforce', 'tarekziade@elastic', 'xZise']",6,10,"['bloomberg', 'elastic', 'instagram', 'pioneervalleybooks', 'tableau&salesforce', 'upcloudltd']","['@UpCloudLtd ', '@bloomberg ', '@elastic ', '@tableau & @salesforce', 'Instagram', 'Pioneer Valley Books']",,1.73,65,61,103,0,0,10,10,65.0,110.0,90.0,1.7,0,51.1248
-801,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2632,215,57,Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2023-02-21,2011-06-24,608,4.323867636704999,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",2023-02-07,42,"['ThomasWaldmann', 'alanhamlett@wakatime', 'davidism', 'dependabot-preview[bot]', 'dependabot[bot]', 'ft-arnout@fireteam', 'lepture@hsiaoming', 'mitsuhiko@sentry', 'pre-commit-ci[bot]', 'untitaker@getsentry']",5,10,"['fireteam', 'getsentry', 'hsiaoming', 'sentry', 'wakatime']","['@getsentry ', '@hsiaoming ', '@wakatime', 'Fireteam', 'Sentry']",,0.77,16,16,142,0,2,3,2,16.0,1.0,90.0,0.1,0,38.19682
-886,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2627,348,86,Jupyter Notebook,,deep-rl-class: This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.,huggingface,2023-02-21,2022-04-21,43,59.899022801302934,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",2023-02-15,44,"['Artachtron', 'Mike-Wazowsk1', 'SuperSecureHuman', 'avoroshilov', 'dario248', 'diskshima', 'imflash217', 'osanseviero@huggingface', 'simoninithomas@huggingface', 'theicfire']",1,10,['huggingface'],"['@huggingface', 'Hugging Face']",,10.75,138,104,10,0,0,0,0,138.0,240.0,90.0,1.7,0,34.83132
-539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2626,562,52,Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2023-02-21,2019-12-02,168,15.604414261460102,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",2022-12-25,20,"['ItachiUchihaVictor', 'MiFei', 'ghaddarAbs', 'itsucks', 'jacobrxz@huawei-noah', 'jingmu123', 'jxfeb', 'mengxj08@nationaluniversityofsingapore', 'zbravo', 'zwjyyc@pekingunversity']",3,10,"['huawei-noah', 'nationaluniversityofsingapore', 'pekingunversity']","['@huawei-noah ', 'National University of Singapore', 'Peking unversity']",,0.37,18,4,39,2,0,0,0,18.0,18.0,90.0,1.0,0,28.18862
-85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2625,401,62,Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2023-02-21,2018-04-13,253,10.346283783783784,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",2021-10-29,36,"['PantelisElinas', 'adocherty@exoflare', 'daokunzhang@monashuniversity', 'habiba-h', 'huonw@xoflare', 'kieranricardo', 'kjun9', 'sktzwhj', 'timpitman@exoflare', 'youph@data61']",4,10,"['data61', 'exoflare', 'monashuniversity', 'xoflare']","['@data61 ', '@xoflare ', 'ExoFlare', 'Monash University']",,0.0,20,3,59,16,0,5,5,20.0,16.0,90.0,0.8,0,29.71731
-748,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,2619,189,51,,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2023-02-21,2022-08-09,28,93.06091370558376,"['fastapi', 'best-practices']",2023-01-09,4,"['anton-shum', 'nbanic', 'paulovitorweb', 'zhanymkanov@viaprotocol']",1,10,['viaprotocol'],['@viaprotocol'],,0.87,11,6,7,1,0,0,0,11.0,19.0,90.0,1.7,0,19.58814
-611,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2594,217,47,Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2023-02-21,2011-05-13,614,4.21984661863816,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",2023-01-10,91,"['asmeurer@quansight', 'bulletmark', 'epmoyer', 'inducer@scientificcomputing,csuiuc', 'jstriebel@scalableminds', 'mvanderkamp', 'nmichaud', 'swarmer', 'wronglink', 'xywei@uiuc']",4,10,"['quansight', 'scalableminds', 'scientificcomputing,csuiuc', 'uiuc']","['@Quansight ', '@scalableminds', 'Scientific Computing, CS@UIUC', 'UIUC']",,0.75,16,9,143,1,2,6,2,16.0,20.0,90.0,1.2,0,40.25842
-369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2591,296,53,C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2023-02-21,2019-12-06,167,15.448892674616696,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",2023-02-17,16,"['Anychnn', 'HandH1998@beihanguniversity', 'Taka152@bytedance', 'aachong', 'godweiyang@bytedanceantnlp', 'hexisyztem@bytedance,ailab', 'lileicc@ucsb', 'neopro12@bytedanceailab', 'xingyaoww@universityofillinoisaturbana-champaign', 'zjersey@bytedancethinklab-sjtu']",8,10,"['beihanguniversity', 'bytedance', 'bytedance,ailab', 'bytedanceailab', 'bytedanceantnlp', 'bytedancethinklab-sjtu', 'ucsb', 'universityofillinoisaturbana-champaign']","['@ByteDance @AntNLP', '@bytedance @Thinklab-SJTU', 'Beihang University', 'ByteDance Inc.', 'Bytedance AI Lab', 'Bytedance, AI Lab', 'UCSB', 'University of Illinois at Urbana-Champaign']",,1.31,52,30,39,0,3,4,3,52.0,55.0,90.0,1.1,0,39.81803
-431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2586,320,48,Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2023-02-21,2018-08-23,234,11.010948905109489,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui', 'dataapp', 'dataviz', 'bokeh', 'datascience', 'holoviews', 'hvplot', 'jupyter', 'matplotlib', 'plotly']",2023-02-21,115,"['Hoxbro', 'MarcSkovMadsen@data,modelsandanalytics', 'ceball', 'dependabot[bot]', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda', 'xavArtley@cea']",4,10,"['anaconda', 'azavea', 'cea', 'data,modelsandanalytics']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Data, models and analytics', 'cea']",,13.92,549,284,55,0,7,100,7,549.0,691.0,90.0,1.3,0,51.0124
-433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2582,633,138,Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2023-02-20,2015-01-15,422,6.106081081081081,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",2022-03-16,85,"['addisonlynch', 'bashtage', 'davidastephens', 'femtotrader', 'gfyoung', 'gliptak', 'hayd', 'simongarisch', 'sinhrks', 'suminb@navercloud']",1,10,['navercloud'],['NAVER Cloud'],,0.04,18,5,99,11,0,3,3,18.0,166.0,90.0,9.2,0,36.57362
-675,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2571,563,29,JavaScript,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2023-02-21,2021-09-13,75,34.14990512333966,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",2023-02-19,10,"['TheGoddessInari', 'VeXHarbinger@highfalootintechnologycorp.', 'kamalkraj@saamaresearch', 'katlyn', 'randyau@bitly', 'saharmor']",3,10,"['bitly', 'highfalootintechnologycorp.', 'saamaresearch']","['@saamaresearch ', 'Bitly', 'High Falootin Technology Corp.']",,2.21,9,3,18,0,0,0,0,9.0,8.0,90.0,0.9,0,27.90602
-268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2568,232,42,TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2023-02-21,2017-05-04,302,8.479245283018868,"['jupyterlab', 'jupyter', 'jupyter-notebook']",2023-02-18,34,"['cameronoelsen@google', 'ddavidebor@fermiumlabssrl(fermiumlabs)', 'declanvk', 'dependabot[bot]', 'ellisonbg@amazonwebservices', 'jupyterlab-bot', 'krassowski@universityofoxford|quansight', 'lucbouchard1', 'mbektas@netflix', 'nproctor']",5,10,"['amazonwebservices', 'fermiumlabssrl(fermiumlabs)', 'google', 'netflix', 'universityofoxford|quansight']","['@google', '@netflix', 'Amazon Web Services', 'Fermium LABS srl ( @fermiumlabs )', 'University of Oxford | Quansight']",,6.4,102,65,71,0,10,4,10,102.0,179.0,90.0,1.8,0,47.25502
-159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2563,519,82,Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2023-02-17,2013-08-20,496,5.165850849409733,[],2020-10-09,23,"['RazerM', 'arcolife', 'fusiongyro@nationalradioastronomyobservatory', 'goldsmith@localkitchens', 'imkevinxu', 'infothrill', 'javierprovecho', 'jongoodnow@vistaprint', 'kazuar', 'sachavakili']",3,10,"['localkitchens', 'nationalradioastronomyobservatory', 'vistaprint']","['Local Kitchens', 'National Radio Astronomy Observatory', 'Vistaprint']",,0.0,7,1,116,29,0,0,0,7.0,8.0,90.0,1.1,0,23.98263
-600,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2546,929,98,Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2023-02-20,2020-03-08,154,16.486586493987048,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",2023-02-18,36,"['12rambau@faoopenforis', '3r3n-n', 'ErikSeras', 'KMarkert@google', 'cclauss@christianclauss', 'csaybar@emcdestudent', 'giswqs@universityoftennessee', 'karelvancamp', 'ppoon23', 'slowy07@google']",5,10,"['christianclauss', 'emcdestudent', 'faoopenforis', 'google', 'universityoftennessee']","['@google', 'Christian Clauss', 'EMCDE Student', 'FAO @openforis', 'University of Tennessee']",,7.33,55,53,36,0,54,47,54,55.0,80.0,90.0,1.5,0,46.53926
-94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2538,310,62,Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2023-02-18,2010-02-25,677,3.7441517386722865,[],2022-07-12,116,"['and3rson@newfirepartners,mediwareinc,holmusk,unitio-org,urwid', 'aszlig', 'eevee', 'mgiusti', 'pazz', 'tonycpsu', 'tu500', 'ulidtko', 'wackywendell', 'wardi']",1,10,"['newfirepartners,mediwareinc,holmusk,unitio-org,urwid']","['@NewfirePartners, @mediwareinc, @Holmusk, @unitio-org, @urwid']",,0.02,10,2,158,19,0,4,4,10.0,5.0,90.0,0.5,0,28.01359
-98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2525,452,119,Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2023-02-19,2014-03-17,466,5.4151348039215685,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",2023-02-15,57,"['Colin-b', 'arkottke', 'efreeway', 'ericremoreynolds', 'fzumstein@xlwings', 'kgrudzin', 'knmaki', 'sdementen', 'y2kbugger', 'yuyueugene84@kyosei.ai']",2,10,"['kyosei.ai', 'xlwings']","['Kyosei.ai', 'xlwings']",,4.13,122,97,109,0,28,16,28,122.0,197.0,90.0,1.6,0,47.34912
-553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2524,304,50,Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2023-02-20,2018-07-30,238,10.59232613908873,[],2023-02-17,86,"['Balandat@meta', 'ItsMrLin', 'SebastianAment@meta', 'danielrjiang@facebook', 'dependabot[bot]', 'dme65@facebook', 'esantorella@meta', 'saitcakmak@meta', 'sdaulton@meta', 'wjmaddox']",2,10,"['facebook', 'meta']","['@Facebook', '@Meta', 'Facebook', 'Meta']",,6.79,203,159,56,0,12,7,12,203.0,825.0,90.0,4.1,0,49.81008
-845,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2523,247,53,Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2023-02-20,2019-05-03,198,12.696621135873473,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",2023-02-16,32,"['0xflotus', 'Attol8', 'NimaSarajpoor', 'SaVoAMP', 'alvii147', 'bdice@nvidia', 'bfattori-TDA@tdameritrade', 'cuichenli@dashbase/appdynamics/cisco', 'mihailescum', 'seanlaw']",3,10,"['dashbase/appdynamics/cisco', 'nvidia', 'tdameritrade']","['@NVIDIA', '@TDAmeritrade', '@dashbase / @AppDynamics / @Cisco']",,3.4,54,35,46,0,2,7,2,54.0,172.0,90.0,3.2,0,41.72119
-809,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2493,247,34,Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2023-02-21,2019-10-05,176,14.118932038834952,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",2023-02-14,54,"['Hazedd', 'allcontributors[bot]', 'bkis@dh-cologne', 'davidbrochart@quantstack', 'dependabot-preview[bot]', 'frankie567@beemydesk', 'matyasrichter@fitctuinprague', 'nullhack', 'rnd42@intelepeer', 'yezz123@yezz.']",6,10,"['beemydesk', 'dh-cologne', 'fitctuinprague', 'intelepeer', 'quantstack', 'yezz.']","['@BeeMyDesk', '@DH-Cologne', '@QuantStack', 'FIT CTU in Prague', 'IntelePeer', 'Yezz LLC.']",,2.33,10,10,41,0,22,28,22,10.0,14.0,90.0,1.4,0,44.45805
-708,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2469,323,43,Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2023-02-21,2018-11-05,224,11.00828025477707,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",2022-12-30,20,"['DanielR59', 'SuryaThiru', 'abtheo@otterclamfinance', 'aplonska@mljar', 'diogosilva30', 'neilmehta31@bitspilanihyderabadcampus', 'partrita@biomega', 'pplonski@mljar', 'shahules786', 'uditswaroopa@blockframenft']",5,10,"['biomega', 'bitspilanihyderabadcampus', 'blockframenft', 'mljar', 'otterclamfinance']","['@mljar', 'BITS Pilani Hyderabad Campus', 'Biomega', 'OtterClam Finance', 'blockframenft']",,0.4,26,13,52,2,4,12,4,26.0,62.0,90.0,2.4,0,36.98301
-907,ml,https://github.com/rucaibox/recbole,,,,rucaibox/recbole,RecBole,2464,450,40,Python,https://recbole.io/,"RecBole: A unified, comprehensive and efficient recommendation library",rucaibox,2023-02-21,2020-06-11,140,17.49290060851927,"['recommender-systems', 'collaborative-filtering', 'knowledge-graph', 'ctr-prediction', 'deep-learning', 'pytorch', 'graph-neural-networks', 'sequential-recommendation', 'recommendations', 'recommendation-system', 'recommender']",2023-02-17,59,"['2017pxy@renminuniversityofchina', 'ShanleiMu@renminuniversityofchina', 'Sherry-XLL@renminuniversityofchina', 'Wicknight', 'chenyushuo', 'chenyuwuxin', 'guijiql@bupt', 'hyp1231@renminuniversityofchina', 'linzihan-backforward@renminuniversityofchina', 'tsotfsk@bupt']",2,10,"['bupt', 'renminuniversityofchina']","['BUPT', 'Renmin University of China']",,8.67,537,492,33,0,3,3,3,537.0,236.0,90.0,0.4,0,41.74203
-735,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2453,391,75,Python,https://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2023-02-21,2015-04-17,409,5.987099023709902,"['python', 'impala', 'pandas', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'pyarrow', 'mssql', 'polars', 'snowflake', 'trino']",2023-02-21,126,"['cpcloud@voltrondata', 'datapythonista', 'gforsyth@voltrondata', 'ibis-squawk-bot[bot]', 'jcrist@voltrondata', 'krzysztof-kwitt', 'kszucs@voltron-data/ursa-computing', 'renovate[bot]', 'wesm@voltrondata', 'xmnlab@xmnlab']",3,10,"['voltron-data/ursa-computing', 'voltrondata', 'xmnlab']","['@voltron-data / @ursa-computing', '@voltrondata', 'Voltron Data', 'xmnlab']",,50.37,778,706,96,0,7,5,7,778.0,1515.0,90.0,1.9,0,55.47232
-814,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2436,173,12,Python,https://docs.deepchecks.com,Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2023-02-21,2021-10-11,71,34.17234468937876,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",2023-02-21,40,"['ItayGabbay', 'JKL98ISR', 'Nadav-Barak', 'TheSolY', 'benisraeldan', 'matanper', 'nirhutnik@deepchecks', 'noamzbr@deepchecks', 'shir22', 'yromanyshyn@starnavi']",2,10,"['deepchecks', 'starnavi']","['@deepchecks ', 'Deepchecks', 'starnavi']",,12.52,361,143,17,0,21,36,21,361.0,136.0,90.0,0.4,0,41.61969
-944,ml,https://github.com/thudm/cogvideo,,,,thudm/cogvideo,CogVideo,2435,224,90,Python,,"Text-to-video generation. The repo for ICLR2023 paper ""CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers""",thudm,2023-02-21,2022-05-29,38,63.36431226765799,[],2022-11-17,4,"['AK391@huggingface', 'mallorbc@brillibits', 'wenyihong']",2,10,"['brillibits', 'huggingface']","['Brillibits', 'Huggingface']",,0.38,9,4,9,3,0,0,0,9.0,14.0,90.0,1.6,0,19.38862
-136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2428,336,38,Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2023-02-21,2020-03-20,152,15.898971000935454,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",2023-01-26,2,"['ddangelov', 'gclen']",0,10,[],[],,0.21,24,11,36,1,2,7,2,24.0,26.0,90.0,1.1,0,19.56539
-172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2420,123,29,TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2023-02-19,2019-11-08,171,14.093178036605657,[],2022-12-05,8,"['GoldenCorgi', 'LiewYouSheng', 'callistachang', 'danthe3rd', 'dependabot[bot]', 'dmitryvinn@engineeringmanagerai/mlmeta', 'louismartin', 'nzw0301@ibm']",2,10,"['engineeringmanagerai/mlmeta', 'ibm']","['@ibm', 'Engineering Manager AI/ML@Meta']",,0.31,6,2,40,3,0,12,12,6.0,11.0,90.0,1.8,0,28.6783
-51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2391,342,28,Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2023-02-20,2018-06-23,243,9.81642228739003,[],2023-02-15,145,"['AndrewHoos', 'blueyed@freelancer,upforhire', 'brettcannon@microsoft', 'dependabot[bot]', 'dstanek', 'ionelmc', 'jdufresne@pioneervalleybooks', 'msabramo@adobe', 'nedbat', 'strichter@shoobx']",5,10,"['adobe', 'freelancer,upforhire', 'microsoft', 'pioneervalleybooks', 'shoobx']","['@adobe', '@microsoft ', 'Freelancer, up for hire', 'Pioneer Valley Books', 'Shoobx, Inc.']",,9.69,116,64,57,0,17,25,17,116.0,294.0,90.0,2.5,0,53.19983
-174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2387,92,33,Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2023-02-21,2017-06-01,298,7.987093690248566,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",2022-07-14,19,"['Conight', 'JonShedden', 'alonm-totango@totango', 'darora-zipline', 'delirious-lettuce', 'dependabot-preview[bot]', 'dependabot[bot]', 'liiight', 'pre-commit-ci[bot]', 'pyup-bot@pyupio']",2,10,"['pyupio', 'totango']","['@pyupio', '@totango ']",,0.29,4,1,70,7,0,5,5,4.0,1.0,90.0,0.2,0,25.01699
-296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2383,740,166,Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2023-02-20,2016-04-24,356,6.685771543086172,[],2022-11-17,33,"['MillionIntegrals@millionintegrals', 'aray-openai@openai', 'bayesian', 'gdb', 'jonasschneider', 'machinaut@openai', 'roboticsdashboard', 'tlbtlbtlb@umbrellaresearch', 'welinder@openai', 'wojzaremba']",3,10,"['millionintegrals', 'openai', 'umbrellaresearch']","['@openai', 'Million Integrals', 'Umbrella Research']",,0.02,27,2,83,3,0,1,1,27.0,23.0,90.0,0.9,0,31.06617
-129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2378,370,61,Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2023-02-19,2014-05-07,459,5.180827886710239,"['holoviz', 'holoviews', 'plotting']",2023-02-18,131,"['Hoxbro', 'ahuang11@prefect!', 'basnijholt@microsoft', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jonmmease@hextechnologies', 'maximlt@anaconda', 'philippjfr@anaconda', 'poplarShift@apn']",5,10,"['anaconda', 'apn', 'hextechnologies', 'microsoft', 'prefect!']","['@Microsoft', 'APN', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies', 'Prefect!']",,3.12,182,85,107,0,6,41,6,182.0,278.0,90.0,1.5,0,50.21171
-696,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2374,200,39,Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2023-02-21,2020-02-18,157,15.107272727272727,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",2023-02-20,69,"['8bitmp3@tensorflow,jax,flax', 'CreativeEntropy@googledeepmind', 'LenaMartens', 'aslanides@deepmind', 'chris-chris', 'hamzamerzic@googledeepmind', 'inoryy@deepmind', 'joaogui1', 'tomhennigan@deepmind', 'trevorcai@openai']",4,10,"['deepmind', 'googledeepmind', 'openai', 'tensorflow,jax,flax']","['@DeepMind', '@deepmind', '@openai', 'Google DeepMind', 'tensorflow, jax, flax']",,2.54,42,33,37,0,3,4,3,42.0,26.0,90.0,0.6,0,40.21053
-145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2363,433,62,C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2023-02-21,2017-07-06,293,8.041322314049587,[],2023-02-05,65,"['dbespalov', 'dyashuni@josh', 'groodt', 'jlmelville', 'kishorenc', 'marekhanus', 'orrorcol', 'piem@aubio', 'slice4e@intel', 'yurymalkov@twittercortex']",4,10,"['aubio', 'intel', 'josh', 'twittercortex']","['@aubio', 'Intel', 'Josh', 'Twitter Cortex']",,0.81,23,13,69,1,1,2,1,23.0,12.0,90.0,0.5,0,36.17746
-858,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2362,155,43,Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2023-02-18,2015-11-16,379,6.227495291902072,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",2023-01-15,43,"['ajbozarth@ibmcodait', 'baldwint@cascadedatalabs', 'fcollonval@quantstack', 'gahjelle@realpython', 'itamarst', 'krassowski@universityofoxford|quansight', 'minrk@simularesearchlaboratory', 'singingwolfboy', 'vidartf', 'willingc@willingconsulting']",7,10,"['cascadedatalabs', 'ibmcodait', 'quantstack', 'realpython', 'simularesearchlaboratory', 'universityofoxford|quansight', 'willingconsulting']","['@QuantStack', '@realpython ', 'Cascade Data Labs', 'IBM CODAIT', 'Simula Research Laboratory', 'University of Oxford | Quansight', 'Willing Consulting']",,0.19,23,8,88,1,0,9,9,23.0,21.0,90.0,0.9,0,40.80868
-691,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2358,408,53,Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2023-02-21,2021-07-02,85,27.51,"['text2image', 'text-to-image']",2022-10-02,7,"['DrJKL', 'caladri@azéotropecanada', 'microraptor', 'nerdyrodent', 'smn57', 'thehappydinoa@censys']",2,10,"['azéotropecanada', 'censys']","['@censys ', 'Azéotrope Canada Inc.']",,0.08,6,3,20,5,0,0,0,6.0,4.0,90.0,0.7,0,18.8917
-875,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2356,962,120,Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2023-02-20,2015-04-09,410,5.7343532684283725,"['parallel', 'jupyter', 'python']",2023-02-08,112,"['Carreau@quansight-labs', 'blink1073@mongodb', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'ivanov', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'sahil1105', 'takluyver', 'tomoboy@ardoq']",6,10,"['amazonwebservices', 'ardoq', 'mongodb', 'quansight-labs', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Quansight-Labs', '@ardoq ', 'Amazon Web Services', 'MongoDB', 'Simula Research Laboratory', 'University of California, Berkeley.']",,2.04,5,5,96,0,0,7,7,5.0,0.0,90.0,0.0,0,41.90857
-755,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,2340,90,26,Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2023-02-21,2022-08-01,29,79.90243902439025,"['deep-learning', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'chatgpt', 'gpt', 'large-language-models']",2023-02-21,21,"['Jeadie@marqo-ai', 'MichalLuck', 'VitusAcabado@marqo.ai', 'aryanagarwal9', 'danyilq', 'jn2clark', 'pandu-k', 'tomhamer@marqo-ai', 'vicilliar', 'wanliAlex']",2,10,"['marqo-ai', 'marqo.ai']","['@marqo-ai', '@marqo-ai ', '@marqo.ai']",,12.75,179,121,7,0,9,16,9,179.0,217.0,90.0,1.2,0,37.85297
-246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2325,84,33,Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2023-02-21,2021-03-01,103,22.510373443983404,[],2022-11-23,1035,"['benjaminp', 'birkenfeld@fzjülich', 'freddrake@keepertech', 'gvanrossum@microsoft', 'jackjansen@centrumvoorwiskundeeninformatica', 'loewis', 'pitrou', 'rhettinger@mutableminds', 'serhiy-storchaka@neu.ro', 'vstinner@redhatofficial']",7,10,"['centrumvoorwiskundeeninformatica', 'fzjülich', 'keepertech', 'microsoft', 'mutableminds', 'neu.ro', 'redhatofficial']","['@RedHatOfficial', '@keepertech ', 'Centrum voor Wiskunde en Informatica', 'FZ Jülich', 'Microsoft', 'Mutable Minds, Inc.', 'Neu.ro']",,3.23,23,9,24,3,3,239,3,21.0,27.0,90.0,1.3,0,46.12774
-947,nlp,https://github.com/microsoft/biogpt,,,,microsoft/biogpt,BioGPT,2305,196,45,Python,,microsoft/biogpt,microsoft,2023-02-21,2022-08-15,27,84.47643979057591,[],2023-02-13,9,"['AH-Merii@silencetherapeutics', 'bbennett80', 'cybersaksham', 'eltociear@bandism', 'katielink@huggingface', 'kurt-biorender', 'microsoftopensource@microsoft', 'renqianluo@microsoft', 'yuta519']",4,10,"['bandism', 'huggingface', 'microsoft', 'silencetherapeutics']","['@bandism ', '@huggingface ', 'Microsoft', 'Silence Therapeutics']",,0.62,56,26,6,0,0,0,0,56.0,93.0,90.0,1.7,0,29.13536
-724,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2285,389,20,Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2023-02-20,2020-11-04,120,19.041666666666668,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'reproducibility', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",2023-02-11,27,"['Adizx12', 'CharlesGaydon', 'amorehead@universityofmissouri', 'ashleve', 'atong01@mila;udem', 'dependabot[bot]', 'elisim', 'eungbean@diml,yonseiuniv.', 'nils-werner', 'yipliu@hunanuniversity']",4,10,"['diml,yonseiuniv.', 'hunanuniversity', 'mila;udem', 'universityofmissouri']","['DIML, Yonsei Univ.', 'Hunan University', 'Mila; UdeM', 'University of Missouri']",,2.88,88,71,28,0,4,4,4,88.0,99.0,90.0,1.1,0,39.74508
-308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2268,417,59,C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2023-02-21,2014-05-02,459,4.9334990677439405,"['cryptography', 'security', 'python']",2023-01-28,134,"['Legrandin', 'akuchling', 'dlitz', 'hugovk@nordsoftware', 'mchlnix@none', 'mitchellrj', 'roughconsensusandrunningcode', 'sebastinas@aitaustrianinstituteoftechnology', 'stefanor@freexian,debian,ubuntu', 'thorsteneb@cisco']",5,10,"['aitaustrianinstituteoftechnology', 'cisco', 'freexian,debian,ubuntu', 'none', 'nordsoftware']","['AIT Austrian Institute of Technology', 'Cisco', 'Freexian, Debian, Ubuntu', 'None', 'Nord Software']",,2.27,94,76,107,1,4,12,4,94.0,120.0,90.0,1.3,0,46.69648
-253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2265,348,40,Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2023-02-21,2020-08-20,130,17.308951965065503,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",2023-02-20,61,"['Anonymous-submission-repo', 'dependabot[bot]', 'gianpd', 'int-chaos', 'jingdong00', 'liususan091219@stevensinstituteoftechnology', 'qingyun-wu@pennsylvaniastateuniversity', 'royninja@alletec', 'skzhang1', 'sonichi@microsoft']",4,10,"['alletec', 'microsoft', 'pennsylvaniastateuniversity', 'stevensinstituteoftechnology']","['Alletec', 'Microsoft', 'Pennsylvania State University', 'Stevens Institute of Technology']",,4.79,121,70,30,0,19,21,19,121.0,187.0,90.0,1.5,0,46.20855
-878,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2233,138,18,Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2023-02-21,2021-11-24,65,34.353846153846156,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'mstl', 'theta', 'automl', 'data-science']",2023-02-21,18,"['FedericoGarza@nixtla', 'JeroenPeterBos', 'MMenchero', 'allcontributors[bot]', 'cchallu', 'goodwanghan', 'jmoralez@nubank', 'kdgutier', 'mergenthaler@nixtla', 'sugatoray@universityofwisconsin-milwaukee']",3,10,"['nixtla', 'nubank', 'universityofwisconsin-milwaukee']","['@Nixtla', '@nubank', 'Nixtla', 'University of Wisconsin - Milwaukee']",,15.83,98,76,15,0,22,20,22,98.0,108.0,90.0,1.1,0,41.46243
-458,ml-dl,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,2232,126,26,Python,https://www.nebuly.com/,nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀,nebuly-ai,2023-02-21,2022-02-12,53,41.664,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference', 'neural-network', 'pypi', 'quantization', 'edge-computing', 'gpu', 'optimization', 'transformers']",2023-02-15,23,"['ZecchinLeonardo', 'arianGh1@kharazmiuniversity', 'aurimgg', 'cyclotomicextension', 'diegofiori@nebuly|epfl', 'eltociear@bandism', 'emilecourthoud@nebuly|ethzurich', 'francis-oss@nebuly-ai|mit', 'nebuly-ai@nebuly-ai', 'valeriosofi@nebuly']",7,10,"['bandism', 'kharazmiuniversity', 'nebuly', 'nebuly-ai', 'nebuly-ai|mit', 'nebuly|epfl', 'nebuly|ethzurich']","['@bandism ', '@nebuly-ai', '@nebuly-ai | MIT', 'Kharazmi University', 'Nebuly', 'Nebuly | EPFL', 'Nebuly | ETH Zurich']",,5.73,88,56,12,0,21,21,21,88.0,91.0,90.0,1.0,0,42.87075
-965,ml-dl,https://github.com/danielegrattarola/spektral,,,,danielegrattarola/spektral,spektral,2231,333,43,Python,https://graphneural.network,spektral: Graph Neural Networks with Keras and Tensorflow 2.,danielegrattarola,2023-02-20,2019-01-17,213,10.432197728790916,"['graph-neural-networks', 'keras', 'python', 'tensorflow', 'tensorflow2', 'graph-deep-learning', 'deep-learning']",2023-02-11,26,"['AlexandrMelnic', 'FilippoMB@uitthearcticuniversityofnorway', 'JackMaguire@universityofnorthcarolinaatchapelhill', 'LeviBorodenko', 'cclauss@christianclauss', 'cgarciae@quansight', 'danielegrattarola', 'djpetti', 'jackd@universityofmelbourne', 'kmader']",5,10,"['christianclauss', 'quansight', 'uitthearcticuniversityofnorway', 'universityofmelbourne', 'universityofnorthcarolinaatchapelhill']","['Christian Clauss', 'Quansight', 'UiT the Arctic University of Norway', 'University of Melbourne', 'University of North Carolina at Chapel Hill']",,1.29,16,6,50,0,2,1,2,16.0,43.0,90.0,2.7,0,39.76477
-540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,2223,169,43,Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2023-02-21,2022-03-28,47,47.012084592145015,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",2022-12-01,7,"['LowinLi', 'bpucla', 'enijkamp', 'jimjag', 'jsoref@garnercorp', 'rooa', 'vlomshakov']",1,10,['garnercorp'],['@GarnerCorp '],,0.83,14,5,11,3,0,0,0,14.0,27.0,90.0,1.9,0,20.49486
-710,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2216,99,29,Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2023-02-21,2018-04-07,254,8.704826038159371,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",2022-08-16,17,"['CrafterKolyan', 'MichaelKarpe@next-gate-tech', 'apurvis', 'def-mycroft', 'devin-petersohn@ponder', 'dhendo@freshrelevance', 'jmcarpenter2@manifoldai', 'openafox', 'tcbegley@facebook', 'toddrme2178']",5,10,"['facebook', 'freshrelevance', 'manifoldai', 'next-gate-tech', 'ponder']","['@facebook', '@manifoldai ', '@next-gate-tech', 'Fresh Relevance', 'Ponder']",,0.38,6,2,59,6,0,17,17,6.0,7.0,90.0,1.2,0,33.20131
-807,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2177,360,85,Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2023-02-21,2018-01-10,267,8.153558052434457,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",2023-02-16,12,"['Anemone95@aarhusuni', 'ankurbhargava87f', 'disenchant', 'gajjar8055', 'harsh-groverfk', 'mohangcsm@myntradesignspvtltd', 'prajal', 'royingantaginting@gdp-admin', 'sagarpo']",3,10,"['aarhusuni', 'gdp-admin', 'myntradesignspvtltd']","['@GDP-ADMIN ', 'AarhusUni', 'Myntra Designs Pvt Ltd']",,0.02,6,0,62,0,0,0,0,6.0,3.0,90.0,0.5,0,27.14899
-617,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2159,321,82,Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2023-02-20,2015-03-15,414,5.209582902447432,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",2023-01-11,123,"['BenoitKnecht', 'atombrella', 'dcermak@suse', 'gtmanfred@autodesk', 'ianw', 'jesselang@spscommerce', 'philpep@lowatt', 'randombenj', 'romainx', 'ssbarnea@redhatansible']",5,10,"['autodesk', 'lowatt', 'redhatansible', 'spscommerce', 'suse']","['@SPSCommerce', '@lowatt', 'Autodesk', 'Red Hat @ansible', 'SUSE']",,0.5,38,20,97,1,4,10,4,38.0,20.0,90.0,0.5,0,41.57031
-871,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,2159,38,24,Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2023-02-20,2022-01-15,57,37.50124069478908,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",2023-01-27,2,"['dkrystki@reloadware', 'siilats@bytelogics']",2,10,"['bytelogics', 'reloadware']","['Reloadware', 'bytelogics']",,0.71,35,26,13,1,0,5,5,35.0,85.0,90.0,2.4,0,27.25389
-867,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2138,41,15,Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2023-02-18,2022-07-27,30,71.26666666666667,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",2023-02-21,10,"['EFord36', 'bbkgh@hamravesh', 'doomedraven', 'dosisod', 'jairhenrique@grupoboticario', 'jdevera@hotjar', 'michaeloliverx@resgroup', 'trag1c', 'yilei']",4,10,"['grupoboticario', 'hamravesh', 'hotjar', 'resgroup']","['@grupoboticario ', '@hamravesh ', '@resgroup', 'Hotjar']",,4.1,86,77,7,0,14,35,14,86.0,41.0,90.0,0.5,0,35.04298
-548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,2135,178,24,Python,https://docs.lightly.ai/self-supervised-learning/,lightly: A python library for self-supervised learning on images.,lightly-ai,2023-02-21,2020-10-13,123,17.337587006960558,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",2023-02-16,24,"['IgorSusmelj@lightly', 'MalteEbner@lightly', 'Ra1Nik', 'busycalibrating', 'guarin', 'ibro45@aimharvard-mgb', 'japrescott', 'michal-lightly', 'philippmwirth', 'shaundaley39']",2,10,"['aimharvard-mgb', 'lightly']","['AIM @ Harvard-MGB', 'Lightly']",,5.48,136,124,29,0,40,34,40,136.0,154.0,90.0,1.1,0,41.57105
-503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2131,916,208,JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2023-02-19,2015-04-22,409,5.210268948655257,[],2023-02-15,36,"['anonymousandrew@google', 'bengalin', 'eengle', 'inazarenko', 'kpreid', 'max99x', 'mdhancher@google', 'michaelfdewitt@google', 'simonff@google', 'tylere@google']",1,10,['google'],"['@Google', '@google ', 'Google', 'Google, Inc.']",,0.0,5,2,95,0,0,32,32,5.0,2.0,90.0,0.4,0,33.87917
-198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2119,259,39,Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2023-02-20,2020-04-29,147,14.414965986394558,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",2023-02-06,35,"['FlorineGreciet', 'Francesco-Marini', 'GAP01', 'MaxGdr@helsing', 'SebastienBidault', 'ThibaudReal', 'ThomasBouche', 'guillaume-vignal@maif', 'mathisbarthere', 'yg79@maif']",2,10,"['helsing', 'maif']","['Helsing', 'MAIF', 'Maif']",,4.6,28,14,34,0,9,9,9,28.0,8.0,90.0,0.3,0,36.36367
-813,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,2118,101,16,Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2023-02-20,2022-03-07,50,42.11931818181818,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql', 'dbt', 'python']",2023-02-17,27,"['cfernhout', 'danthelion@brooklyn-data', 'dlawin', 'erezsh', 'glebmezh@datafold', 'jardayn', 'kylemcnair', 'leoebfolsom', 'pik94@datafold', 'sirupsen@webscaleinc']",3,10,"['brooklyn-data', 'datafold', 'webscaleinc']","['@brooklyn-data', '@datafold ', 'Datafold', 'Webscale Inc']",,14.17,104,61,12,0,16,16,16,104.0,142.0,90.0,1.4,0,41.76554
-222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2115,414,41,Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2023-02-19,2014-01-20,474,4.4593373493975905,"['python', 'dynamodb', 'aws']",2023-02-21,102,"['anandswaminathan@lyft', 'betamoo', 'danielhochman@lyft', 'garrettheel', 'hallie@lyft', 'ikonst@lyft', 'jlafon@openeyescientificsoftware', 'jmphilli', 'jpinner-lyft', 'scode']",2,10,"['lyft', 'openeyescientificsoftware']","['@lyft', '@lyft ', 'Lyft', 'Lyft, Inc.', 'OpenEye Scientific Software']",,0.81,67,47,111,0,11,10,11,67.0,94.0,90.0,1.4,0,44.51654
-749,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,2111,205,26,Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2023-02-20,2022-09-06,24,87.43786982248521,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",2023-02-18,14,"['0x1355', 'Atomic-Germ@exitgardenrecords', 'Niravprajapati1@student', 'charlielito', 'codefaux', 'danielpatrickhug@earth', 'nateraw@huggingface', 'philgzl', 'seriousran@ncsoftaivisionlabgenerationteam', 'thehappydinoa@censys']",6,10,"['censys', 'earth', 'exitgardenrecords', 'huggingface', 'ncsoftaivisionlabgenerationteam', 'student']","['@NCSoft AI Vision Lab Generation Team', '@censys ', '@huggingface', 'Earth', 'Exit Garden Records', 'Student ']",,3.0,46,30,6,0,17,34,17,46.0,139.0,90.0,3.0,0,40.23409
-411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,2089,435,49,Python,,pyyaml: Canonical source repository for PyYAML,yaml,2023-02-21,2011-11-03,589,3.541535480745943,"['python', 'yaml']",2022-09-13,40,"['Thom1729', 'alex', 'cclauss@christianclauss', 'dstufft@datadog', 'ingydotnet@newfolddigital/bluehost', 'jdufresne@pioneervalleybooks', 'nitzmahone@ansible', 'perlpunk@suse', 'peterkmurphy', 'xitology']",6,10,"['ansible', 'christianclauss', 'datadog', 'newfolddigital/bluehost', 'pioneervalleybooks', 'suse']","['@DataDog', '@SUSE', '@ansible', 'Christian Clauss', 'Newfold Digital / Bluehost', 'Pioneer Valley Books']",,0.04,43,20,138,5,0,4,4,43.0,55.0,90.0,1.3,0,38.36483
-860,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2059,537,93,Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2023-02-21,2012-08-05,550,3.74072151570205,"['jupyter', 'jupyter-notebook', 'nbconvert']",2023-01-27,95,"['Carreau@quansight-labs', 'bollwyvl', 'ellisonbg@amazonwebservices', 'krinsman', 'minrk@simularesearchlaboratory', 'mrterry@nextdoor', 'parente@wearethorn', 'pelson', 'pre-commit-ci[bot]', 'rgbkrk@noteable-io']",6,10,"['amazonwebservices', 'nextdoor', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory', 'wearethorn']","['@Noteable-io', '@Quansight-Labs', '@wearethorn ', 'Amazon Web Services', 'Nextdoor', 'Simula Research Laboratory']",,1.25,18,10,128,1,0,0,0,18.0,20.0,90.0,1.1,0,40.43922
-881,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,2010,235,70,Python,,pyflux: Open source time series library for Python,rjt1990,2023-02-20,2016-02-16,366,5.489660554038236,"['statistics', 'time-series']",2018-12-16,6,"['RJT1990', 'TerryJey', 'ThomasHoppe', 'gitter-badger@gitter', 'juanpabloaj', 'tmak@pinseekerinc']",2,10,"['gitter', 'pinseekerinc']","['Gitter', 'PinSeeker Inc']",,0.0,0,0,85,51,0,6,6,0.0,0.0,90.0,0.0,0,15.47289
-452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1978,162,13,Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2023-02-20,2018-11-01,224,8.79669631512071,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",2023-02-20,79,"['NickCrews', 'a-recknagel@auxmoney', 'cosmicBboy@unionai', 'cristianmatache@imperialcollegelondon', 'ferhah', 'gordonhart', 'mastersplinter@bcggamma', 'ralbertazzi@bendingspoons', 'smackesey@elementl', 'the-matt-morris@rsg']",7,10,"['auxmoney', 'bcggamma', 'bendingspoons', 'elementl', 'imperialcollegelondon', 'rsg', 'unionai']","['@unionai', 'BCG Gamma', 'Bending Spoons', 'Elementl', 'Imperial College London', 'RSG, Inc.', 'auxmoney']",,2.21,66,21,52,0,15,14,15,66.0,150.0,90.0,2.3,0,49.08654
-506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,1961,439,22,Python,https://flower.dev,Flower: A Friendly Federated Learning Framework,adap,2023-02-21,2020-02-17,157,12.467756584922798,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence', 'deep-learning', 'machine-learning', 'pytorch', 'scikit-learn', 'tensorflow']",2023-02-20,54,"['CanTuerk', 'adam-narozniak@epfl', 'akhilmathurs', 'charlesbvll@epfl', 'danieljanes@adapgmbh', 'jafermarq', 'mariaboerner1987', 'pedropgusmao', 'sisco0', 'tanertopal@adapgmbh']",2,10,"['adapgmbh', 'epfl']","['Adap GmbH', 'EPFL']",,6.85,199,166,37,0,6,5,6,199.0,65.0,90.0,0.3,0,40.67275
-323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1946,494,104,Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2023-02-21,2012-07-17,553,3.518078512396694,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",2023-02-13,123,"['GadgetSteve', 'Metallicow@self;independant', 'RobinD42', 'cbeytas', 'dougthor42@prounlimited(contractorforgooglequantumai)', 'infinity77', 'kollivier@kosoftworks', 'mesalu', 'swt2c', 'wernerfb']",3,10,"['kosoftworks', 'prounlimited(contractorforgooglequantumai)', 'self;independant']","['KOSoftworks LLC', 'PRO Unlimited (contractor for Google Quantum AI)', 'self; Independant']",,3.35,76,38,129,0,1,2,1,76.0,143.0,90.0,1.9,0,45.67087
-590,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1944,415,40,Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2023-02-20,2012-07-13,553,3.5108359133126936,"['python', 'science', 'units']",2023-02-13,182,"['5igno@imec', 'andrewgsavage', 'bors[bot]', 'clarkgwillison', 'crusaderky', 'dalito@leibniz-institutfürkatalysee.v.(likat)', 'hgrecco', 'jthielen@coloradostateuniversity', 'jules-ch', 'keewis']",3,10,"['coloradostateuniversity', 'imec', 'leibniz-institutfürkatalysee.v.(likat)']","['Colorado State University', 'Leibniz-Institut für Katalyse e.V. (LIKAT)', 'imec']",,2.98,80,35,129,0,0,4,4,80.0,115.0,90.0,1.4,0,47.40676
-353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1935,220,42,Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2023-02-21,2019-02-26,208,9.2964996568291,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",2023-02-20,18,"['MarcoGorelli@quansight', 'RobertSamoilescu', 'adriangonz@seldonio', 'alexcoca@universityofcambridge', 'arnaudvl', 'ascillitoe@datascienceseldonio', 'dependabot[bot]', 'gipster', 'jklaise', 'mauicv']",4,10,"['datascienceseldonio', 'quansight', 'seldonio', 'universityofcambridge']","['@SeldonIO ', 'Data Science @SeldonIO', 'Quansight', 'University of Cambridge']",,3.69,64,46,49,0,4,7,4,64.0,108.0,90.0,1.7,0,40.88781
-233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1927,578,98,Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2023-02-21,2016-12-27,321,6.000444839857651,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",2022-12-16,80,"['NIC619', 'carver@ethereumfoundation', 'cburgdorf', 'fselmo@ethereum', 'gsalgado', 'hwwhww', 'jannikluhn', 'mhchia', 'pipermerriam@ethereumfoundation', 'veox']",2,10,"['ethereum', 'ethereumfoundation']","['@ethereum', 'Ethereum Foundation']",,0.58,4,1,75,2,0,17,17,4.0,0.0,90.0,0.0,0,32.98648
-441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1882,507,152,Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2023-02-19,2013-11-04,485,3.878127759788048,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",2023-02-13,142,"['ColinTalbert', 'brendan-ward@astutespruce', 'geowurster', 'groutr@lynkertechnologies', 'j08lue@developmentseed', 'jdmcbr', 'perrygeo', 'sgillies@planetlabs', 'snowman2@corteva', 'vincentsarago@developmentseed']",5,10,"['astutespruce', 'corteva', 'developmentseed', 'lynkertechnologies', 'planetlabs']","['@corteva ', '@developmentseed ', '@planetlabs', 'Astute Spruce, LLC', 'Development Seed', 'Lynker Technologies']",,3.77,184,116,113,0,11,18,11,184.0,323.0,90.0,1.8,0,52.4779
-829,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1877,167,72,Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2023-02-21,2022-10-13,18,99.53787878787878,[],2023-02-21,17,"['RELNO@cityscopemitmedialab', 'Yorko@relx', 'darcula1993', 'dbtreasure', 'dhakalnirajan@drcfsorg', 'eltociear@bandism', 'jmelsbach@universityofcologne', 'johnowhitaker', 'lewtun@huggingface', 'xl0']",6,10,"['bandism', 'cityscopemitmedialab', 'drcfsorg', 'huggingface', 'relx', 'universityofcologne']","['@CityScope @mitmedialab ', '@bandism ', '@drcfsorg', '@huggingface', 'RELX', 'University of Cologne']",,2.88,55,47,4,0,0,0,0,55.0,69.0,90.0,1.3,0,32.77661
-856,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1876,129,23,Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2023-02-21,2012-06-26,556,3.3732340097611098,[],2023-02-17,24,"['andyljones@anthropic', 'bmerry', 'dannysepler@propelinc', 'embray', 'jiffyclub@populus-ai', 'matthewfeickert@universityofwisconsin-madison', 'nschloe@mondaytech', 'takluyver', 'thomasjm@codedownio', 'yjmade@nvidia']",7,10,"['anthropic', 'codedownio', 'mondaytech', 'nvidia', 'populus-ai', 'propelinc', 'universityofwisconsin-madison']","['@codedownio ', '@populus-ai ', '@propelinc', 'Anthropic', 'Monday Tech', 'NVIDIA', 'University of Wisconsin-Madison']",,0.08,7,2,130,0,0,2,2,7.0,16.0,90.0,2.3,0,40.21195
-713,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1869,574,45,Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2023-02-20,2016-02-20,365,5.112543962485346,[],2022-10-22,17,"['Bhomik', 'MarvinTeichmann@universityofcambridge', 'adityassrana', 'alexander-kirillov@facebookairesearch', 'jmtatsch', 'lucasb-eyer@googlebrainzürich', 'luofan18', 'mcordts@daimlerag', 'ncgaehle', 'nicolasj92']",4,10,"['daimlerag', 'facebookairesearch', 'googlebrainzürich', 'universityofcambridge']","['@google Brain Zürich', 'Daimler AG', 'Facebook AI Research', 'University of Cambridge']",,0.02,13,6,85,4,0,0,0,13.0,19.0,90.0,1.5,0,29.94821
-823,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1859,155,22,Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2023-02-20,2013-06-28,503,3.6905842314237094,[],2023-02-20,40,"['Peque', 'anivegesana', 'hugovk@nordsoftware', 'jasonmyers@klaviyo', 'kernc', 'leogama@amphybio-universityofsãopaulo,medicalschool', 'matsjoyce', 'mindw', 'mmckerns@uqfoundation', 'sekikn@nttdata']",5,10,"['amphybio-universityofsãopaulo,medicalschool', 'klaviyo', 'nordsoftware', 'nttdata', 'uqfoundation']","['@amphybio - University of São Paulo, Medical School', '@uqfoundation ', 'Klaviyo', 'NTT DATA', 'Nord Software']",,1.96,26,13,118,0,3,2,3,26.0,43.0,90.0,1.7,0,43.40902
-581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1858,225,31,Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2023-02-21,2021-02-22,104,17.816438356164383,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",2023-02-13,35,"['JiahaoYao@universityofcalifornia,berkeley', 'PKUFlyingPig@pekinguniversity', 'ZYHowell@carnegiemellonuniversity', 'comaniac@amazonwebservices(aws)', 'ddxxdd-code', 'jiaodong@anyscale', 'merrymercy@ucberkeley', 'yf225', 'zhisbug', 'zhuohan123@ucberkeley']",6,10,"['amazonwebservices(aws)', 'anyscale', 'carnegiemellonuniversity', 'pekinguniversity', 'ucberkeley', 'universityofcalifornia,berkeley']","['Amazon Web Services (@aws)', 'Anyscale', 'Carnegie Mellon University', 'Peking University', 'UC Berkeley', 'University of California, Berkeley']",,6.4,130,98,24,0,12,6,12,128.0,195.0,90.0,1.5,0,45.75762
-201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1835,338,46,Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2023-02-21,2019-07-01,190,9.643393393393394,[],2023-02-07,39,"['KOLANICH@kolanich', 'MartinThoma', 'anakin87@01s', 'davidkong0987', 'dimitern@http://develated.com/', 'pravarag', 'tksumanth1994', 'vaibhavmule@polymerize', 'vinayak-mehta', 'yatintaluja@atlanhq']",5,10,"['01s', 'atlanhq', 'http://develated.com/', 'kolanich', 'polymerize']","['01S', '@Polymerize ', '@atlanhq ', 'KOLANICH inc.', 'http://develated.com/']",,0.08,26,5,44,0,0,7,7,26.0,47.0,90.0,1.8,0,40.04461
-115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1828,490,55,Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2023-02-18,2012-09-21,543,3.3620599054125067,[],2023-02-20,191,"['ajelenak@thehdfgroup', 'andrewcollette@enthought', 'aragilar@departmentofphysicsandastronomy,macquarieuniversity', 'ddale@cornelluniversity', 'dota17', 'kif@esrf', 'scopatz', 't20100@esrf', 'tacaswell@brookhavennationallab', 'takluyver']",6,10,"['brookhavennationallab', 'cornelluniversity', 'departmentofphysicsandastronomy,macquarieuniversity', 'enthought', 'esrf', 'thehdfgroup']","['Brookhaven National Lab', 'Cornell University', 'Department of Physics and Astronomy, Macquarie University', 'ESRF', 'Enthought', 'The HDF Group']",,4.08,110,83,127,0,2,4,2,110.0,340.0,90.0,3.1,0,52.86394
-46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1824,235,52,TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2023-02-20,2016-12-21,322,5.6645962732919255,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",2023-02-17,45,"['GenevieveBuckley@monashuniversity', 'OlehKSS', 'agoose77', 'chrisjsewell@imperialcollegelondon', 'cvisl@surf', 'glyg@france-bio-imaging-data', 'jeammimi', 'jtpio@quantstack', 'maartenbreddels@maartenbreddels', 'mgeier']",6,10,"['france-bio-imaging-data', 'imperialcollegelondon', 'maartenbreddels', 'monashuniversity', 'quantstack', 'surf']","['@France-Bio-Imaging-Data ', '@QuantStack', '@maartenbreddels', 'Imperial College London', 'Monash University', 'SURF']",,0.27,17,8,75,0,0,8,8,17.0,25.0,90.0,1.5,0,42.47792
-295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1819,173,45,Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2023-02-20,2016-10-14,331,5.4836347975882855,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",2022-10-18,47,"['althonos@embl,zellerlab', 'dargueta', 'eelkevdbos@vandenbossoftwaredevelopment', 'geoffjukes', 'lurch@raspberrypi', 'muffl0n', 'odgalvin', 'tfeldmann@mercatronicsgmbh', 'willmcgugan@textualize', 'zmej-serow@kodland.org']",6,10,"['embl,zellerlab', 'kodland.org', 'mercatronicsgmbh', 'raspberrypi', 'textualize', 'vandenbossoftwaredevelopment']","['@raspberrypi ', 'EMBL, @zellerlab', 'Textualize', 'Van den Bos Software Development', 'kodland.org', 'mercatronics GmbH']",,1.44,12,2,77,4,1,8,1,12.0,26.0,90.0,2.2,0,37.20255
-648,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1817,209,45,Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2023-02-21,2013-05-29,508,3.576771653543307,[],2023-01-12,27,"['GrahamDumpleton', 'a-feld', 'agriffis@scampersand', 'althonos@embl,zellerlab', 'eire1130', 'hugovk@nordsoftware', 'jouve', 'thorwhalen@analogdevices', 'varunagrawal@georgiatech', 'yarikoptic@dartmouthcollege,debian,datalad,pymvpa,fail2ban']",6,10,"['analogdevices', 'dartmouthcollege,debian,datalad,pymvpa,fail2ban', 'embl,zellerlab', 'georgiatech', 'nordsoftware', 'scampersand']","['@scampersand', 'Analog Devices', 'Dartmouth College, @Debian, @DataLad, @PyMVPA, @fail2ban', 'EMBL, @zellerlab', 'Georgia Tech', 'Nord Software']",,1.02,17,9,118,1,0,5,5,17.0,39.0,90.0,2.3,0,41.82351
-63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1813,758,89,Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2023-02-20,2014-09-19,439,4.1231319038336585,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",2023-02-10,121,"['Corvince', 'EwoutH', 'TaylorMutch@unitytechnologies', 'Tortar@metro-polis', 'cauemello', 'djmitche@google', 'dmasad', 'jackiekazil', 'rht', 'tpike3']",3,10,"['google', 'metro-polis', 'unitytechnologies']","['Google', 'Metro-Polis ', 'Unity Technologies']",,5.58,70,42,103,1,1,2,1,70.0,190.0,90.0,2.7,0,45.30406
-310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1805,187,47,Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2023-02-21,2015-06-02,403,4.477321048901488,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",2022-12-23,31,"['DataBoyTX', 'cwharris@nvidia', 'juliaxdmon', 'lmeyerov@graphistry', 'lsb', 'pradkrish', 'silkspace@graphistrystayopen,pythian,tehama,cybermedicine,beatsmusic,quid,idlegames', 'szhorvat', 'thibaudh', 'trxcllnt@nvidia,inc']",4,10,"['graphistry', 'graphistrystayopen,pythian,tehama,cybermedicine,beatsmusic,quid,idlegames', 'nvidia', 'nvidia,inc']","['@graphistry @stayopen, @pythian, @tehama, @cybermedicine, @beatsMusic, @quid, @idlegames', 'Graphistry', 'NVIDIA, Inc', 'Nvidia']",,1.48,34,13,94,2,0,22,22,34.0,32.0,90.0,0.9,0,40.09107
-964,gis,https://github.com/azavea/raster-vision,,,,azavea/raster-vision,raster-vision,1797,350,83,Python,https://docs.rastervision.io,raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.,azavea,2023-02-20,2017-02-02,315,5.689280868385346,"['deep-learning', 'computer-vision', 'remote-sensing', 'geospatial', 'object-detection', 'semantic-segmentation', 'classification', 'machine-learning', 'pytorch']",2023-02-21,30,"['AdeelH@azavea', 'citerana', 'dependabot[bot]', 'jamesmcclain', 'jmorrison1847@umbra', 'jpolchlo', 'lewfish@azavea', 'lmbak@eyetelligence', 'lossyrob@microsoft', 'simonkassel@azavea']",4,10,"['azavea', 'eyetelligence', 'microsoft', 'umbra']","['@azavea ', '@microsoft', 'Azavea', 'Eyetelligence', 'Umbra']",,8.29,154,124,74,0,3,3,3,154.0,129.0,90.0,0.8,0,43.55576
-601,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1793,85,39,Python,,felicette: Satellite imagery for dummies.,plant99,2023-02-14,2020-07-12,136,13.14240837696335,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",2021-09-08,6,"['AlexanderDavid@clemsonuniversity', 'dependabot[bot]', 'epogrebnyak@financeandeconomicsdepartment,mgimo-odintsovo', 'mmatongo@tempulsenoirlinuxmulindisourcehaus', 'plant99']",3,10,"['clemsonuniversity', 'financeandeconomicsdepartment,mgimo-odintsovo', 'tempulsenoirlinuxmulindisourcehaus']","['@tempulse @noirlinux @mulindi @sourcehaus', 'Clemson University', 'Finance and Economics Department, MGIMO-Odintsovo']",,0.0,0,0,32,18,0,2,2,0.0,0.0,90.0,0.0,0,15.49221
-32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1788,153,42,Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2023-02-19,2010-07-09,658,2.7143786597267403,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",2023-02-03,28,"['DimitriPapadopoulos@cea', 'J535D165@utrechtuniversity', 'PeterScott@cue', 'dependabot[bot]', 'diego-plan9@ibmresearch', 'dparrol', 'jamesturk@universityofchicago', 'mikejs@sunlightlabs', 'nchammas', 'ofek@datadog']",7,10,"['cea', 'cue', 'datadog', 'ibmresearch', 'sunlightlabs', 'universityofchicago', 'utrechtuniversity']","['@IBMResearch ', '@datadog', 'CEA', 'Cue', 'Sunlight Labs', 'University of Chicago', 'Utrecht University']",,0.35,4,4,154,1,0,2,2,4.0,2.0,90.0,0.5,0,35.98416
-843,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1777,936,135,Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2023-02-20,2017-11-14,275,6.458463136033229,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",2023-02-20,333,"['ChoiByungWook@amazon.com', 'ajaykarpur', 'chuyang-deng', 'icywang86rui', 'knakad', 'laurenyu', 'metrizable@google', 'mvsusp', 'nadiaya@amazon.com', 'yangaws']",2,10,"['amazon.com', 'google']","['Amazon.com', 'Google']",,9.79,316,180,64,0,76,92,76,317.0,3351.0,90.0,10.6,0,59.58423
-732,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1771,1542,17,Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2023-02-21,2020-06-24,139,12.741007194244604,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",2022-02-07,6,"['BHUVAN-RJ', 'Ehsanahmadi1400@readytocollaborateonaiprojects', 'amanchadha@amazon/stanforduniversity', 'lengocloi1805', 'zen7vik']",2,10,"['amazon/stanforduniversity', 'readytocollaborateonaiprojects']","['Amazon Inc. / Stanford University', 'Ready to collaborate on AI projects']",,0.0,0,0,32,13,0,0,0,0.0,0.0,90.0,0.0,0,12.86912
-297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1765,240,23,Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2023-02-21,2017-05-14,301,5.855450236966824,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",2023-02-12,53,"['cngkaygusuz@google', 'djpohly', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'mattcarmody', 'maxfischer2781', 'mcepl@suse', 'multimeric', 'ptmcg', 'sirosen']",4,10,"['google', 'nordsoftware', 'pioneervalleybooks', 'suse']","['Google', 'Nord Software', 'Pioneer Valley Books', 'SUSE']",,2.56,17,7,70,0,2,9,2,17.0,25.0,90.0,1.5,0,40.8162
-543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1760,175,19,Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2023-02-21,2018-11-27,221,7.958656330749354,"['sqlalchemy', 'sql', 'python']",2023-02-16,158,"['AKamyshnikova@mirantis', 'BryceLohr', 'CaselIT', 'bbinet@helioslite', 'dahlia@planetarium', 'dtheodor', 'exhuma', 'gordthompson@self-employed', 'marcinkuzminski@rhodecode', 'zzzeek@redhat']",6,10,"['helioslite', 'mirantis', 'planetarium', 'redhat', 'rhodecode', 'self-employed']","['@Mirantis', '@planetarium ', 'HeliosLite', 'Red Hat', 'RhodeCode Inc.', 'self-employed']",,1.5,42,27,52,0,8,26,8,42.0,111.0,90.0,2.6,0,49.1058
-9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1760,160,60,Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2023-02-15,2016-09-27,334,5.267208208636169,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",2022-02-12,21,"['KirstensGitHub', 'alysivji', 'andrewheusser@akiliinteractive', 'chaseWilliams@together', 'jeremymanning@dartmouthcollege', 'joefink2896', 'lmcinnes@tutteinstituteformathematicsandcomputing', 'paxtonfitzpatrick@contextlabcosanlab', 'rarredon', 'swaroopgj@vicariousai']",6,10,"['akiliinteractive', 'contextlabcosanlab', 'dartmouthcollege', 'together', 'tutteinstituteformathematicsandcomputing', 'vicariousai']","['@ContextLab @cosanlab', 'Akili Interactive', 'Dartmouth College', 'Together', 'Tutte Institute for Mathematics and Computing', 'Vicarious AI']",,0.0,1,0,78,12,0,3,3,1.0,0.0,90.0,0.0,0,25.46581
-25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1755,110,24,Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2023-02-21,2018-06-27,243,7.222222222222222,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",2022-12-05,23,"['Conchylicultor@google', 'adarob@google', 'cghawthorne', 'dhr', 'ericjang', 'gmrukwa@netguru', 'jaingaurav@google', 'kbanoop@google', 'sguada@google', 'yilei']",2,10,"['google', 'netguru']","['@google', 'Google', 'Netguru']",,0.12,5,1,57,3,0,0,0,5.0,1.0,90.0,0.2,0,23.4123
-806,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1752,293,70,Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2023-02-21,2020-01-09,162,10.757894736842106,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",2023-02-19,140,"['SteadBytes', 'arajkumar@timescale', 'avilaton', 'awiddersheim', 'calvin620707@kloudless', 'frol@q-bit', 'j5awry@canonical', 'noirbizarre@apihackers', 'plowman@parkade', 'ziirish']",6,10,"['apihackers', 'canonical', 'kloudless', 'parkade', 'q-bit', 'timescale']","['@Timescale', '@apihackers ', '@kloudless', 'Canonical', 'Parkade', 'Q-bit']",,0.73,49,19,38,0,3,4,3,49.0,79.0,90.0,1.6,0,44.43811
-825,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interviews,1745,352,49,Jupyter Notebook,,machine-learning-interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2023-02-21,2021-01-31,107,16.243351063829788,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",2023-02-20,6,"['Anirudh257', 'alirezadir@meta', 'aroraayush@sdeliveramp', 'erjanmx', 'jthaller@bnl-ml-group', 'mehdizade']",3,10,"['bnl-ml-group', 'meta', 'sdeliveramp']","['@BNL-ML-Group', 'Meta', 'SDE @ Liveramp']",,0.6,1,0,25,0,0,0,0,1.0,0.0,90.0,0.0,0,21.44873
-302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1723,173,40,Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2023-02-20,2014-04-02,464,3.7133620689655173,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",2023-02-20,56,"['CarliJoy', 'FlorianWilhelm@inovex', 'HolgerPeters', 'QuLogic', 'abravalheri@universityofbristol', 'cpaulik@vandersat', 'jayvdb@franklin-ai', 'pre-commit-ci[bot]', 'smartsammler@karlsruheinstituteoftechnology', 'willu47@kth']",6,10,"['franklin-ai', 'inovex', 'karlsruheinstituteoftechnology', 'kth', 'universityofbristol', 'vandersat']","['@franklin-ai', '@inovex', '@vandersat ', 'KTH', 'Karlsruhe Institute of Technology', 'University of Bristol']",,2.83,29,27,108,0,8,22,8,29.0,44.0,90.0,1.5,0,46.97122
-767,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1718,517,53,Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2023-02-21,2019-03-21,204,8.386331938633194,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",2022-04-24,7,"['Akay7', 'ScottMcCormack', 'anancds@huawei', 'dependabot[bot]', 'eumiro', 'kbaikov', 'ramalho@thoughtworksthoughtworksinc']",2,10,"['huawei', 'thoughtworksthoughtworksinc']","['@thoughtworks @ThoughtWorksInc ', 'huawei']",,0.06,6,0,48,10,0,0,0,6.0,1.0,90.0,0.2,0,17.01612
-365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1715,63,11,Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2023-02-21,2021-11-17,66,25.984848484848484,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",2023-02-07,4,"['dependabot[bot]', 'github-actions[bot]', 'ousou@iprally', 'rentruewang@collegeofcomputing,georgiatech']",2,10,"['collegeofcomputing,georgiatech', 'iprally']","['@iprally ', 'College of Computing, Georgia Tech']",,0.5,1,1,15,0,0,2,2,1.0,0.0,90.0,0.0,0,20.24635
-699,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1702,105,19,Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2023-02-21,2016-02-03,368,4.625,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",2022-02-20,24,"['AbhinavOmprakash', 'Cologler', 'elistevens@zoox', 'grantjenks', 'i404788', 'jugmac00@canonical', 'maxking', 'raratiru', 'rkubik', 'tamirOK']",2,10,"['canonical', 'zoox']","['@canonical', 'Zoox']",,0.0,10,6,86,12,0,12,12,10.0,20.0,90.0,2.0,0,31.18506
-416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1686,349,57,Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2023-02-21,2015-04-09,410,4.103616133518776,[],2023-02-15,39,"['OliRafa', 'betolink', 'bmabey', 'cemoody@gumtap', 'cpsievert@rstudio', 'janrygl@rndr.janrygl', 'mattilyra@zalandose', 'msusol@google', 'paul-english', 'yxtay']",5,10,"['google', 'gumtap', 'rndr.janrygl', 'rstudio', 'zalandose']","['@gumtap ', '@rstudio', 'Google', 'RNDr. Jan Rygl', 'Zalando SE']",,0.29,37,33,96,0,1,3,1,37.0,32.0,90.0,0.9,0,39.54568
-383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1679,194,36,Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2023-02-21,2019-12-29,164,10.211120764552563,[],2022-08-09,9,"['BPCZ', 'cdpierse@quantcopy', 'cuuupid', 'kaushikb11@lightning-ai', 'leetfin@arisiainc', 'minimaxir@buzzfeed', 'reducibly', 'tientr']",4,10,"['arisiainc', 'buzzfeed', 'lightning-ai', 'quantcopy']","['@ArisiaInc', '@Lightning-AI', '@buzzfeed ', '@quantcopy']",,0.1,16,3,38,7,1,4,1,16.0,19.0,90.0,1.2,0,25.80243
-217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1672,92,37,Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2023-02-20,2021-04-27,95,17.573573573573572,[],2022-08-31,8,"['KaixuYang@linkedin', 'Reza1317', 'al-bert', 'dromare@pepsico', 'martinmenchon@bayer', 'njusu@linkedin']",3,10,"['bayer', 'linkedin', 'pepsico']","['Bayer', 'LinkedIn', 'PepsiCo']",,0.08,9,3,22,6,1,2,1,9.0,18.0,90.0,2.0,0,24.36706
-795,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1669,166,27,Python,https://starliteproject.dev,"starlite: Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs",starlite-api,2023-02-20,2021-12-06,63,26.372460496613996,"['python', 'api', 'rest', 'pydantic', 'asgi', 'openapi', 'redoc', 'starlite', 'starlite-api', 'swagger', 'starlite-framework']",2023-02-21,89,"['Goldziher@safehousetechnologies', 'allcontributors[bot]', 'ashwinvin', 'cofin', 'dkress59@alexhealthcaregmbh', 'jtraub', 'peterschutt', 'provinzkraut', 'seladb', 'yudjinn@vestrasoftware']",3,10,"['alexhealthcaregmbh', 'safehousetechnologies', 'vestrasoftware']","['SafeHouse Technologies', 'Vestra Software, LLC', 'alex healthcare GmbH']",,17.92,385,356,15,0,102,109,102,385.0,786.0,90.0,2.0,0,49.75725
-256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1669,539,75,Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2023-02-21,2017-12-16,270,6.168426610348469,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",2023-02-16,105,"['Dynamikey', 'MarechJ', 'PandaXcentric', 'abashinfection', 'bmoscon', 'dependabot[bot]', 'evil-maid', 'olibre', 'peedrr', 'vdbelt']",0,10,[],[],,2.23,20,12,63,0,5,14,5,20.0,17.0,90.0,0.8,0,34.64775
-195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1667,266,19,Python,https://pettingzoo.farama.org,"PettingZoo: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities",pettingzoo-team,2023-02-21,2020-01-20,161,10.33569530558016,[],2023-02-20,81,"['AnanthHari', 'Kyle-Sang', 'MarioJayakumar@morganstanley', 'RyanNavillus', 'WillDudley', 'benblack769', 'jjshoots', 'jkterry1', 'lssr', 'rodrigodelazcano']",1,10,['morganstanley'],['Morgan Stanley'],,7.71,27,12,38,0,12,11,12,27.0,24.0,90.0,0.9,0,39.62154
-424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1664,146,27,Python,,ipdb: Integration of IPython pdb,gotcha,2023-02-20,2011-01-15,631,2.63469803211943,"['python', 'ipython', 'debugger']",2022-12-13,54,"['MrMino@nokia', 'PiDelport', 'Psycojoker', 'alanbernstein@pilosa', ""alexandrebarbaruiva@let'sdelivery"", 'andreagrandi@laterpay', 'dimasad@universidadefederaldeminasgerais', 'gnebehay@locatee', 'gotcha@bubblenet', 'takluyver']",7,10,"['bubblenet', 'laterpay', ""let'sdelivery"", 'locatee', 'nokia', 'pilosa', 'universidadefederaldeminasgerais']","['@laterpay', '@pilosa ', 'BubbleNet', ""Let's Delivery"", 'Locatee', 'Nokia', 'Universidade Federal de Minas Gerais']",,0.25,24,15,147,2,0,3,3,24.0,39.0,90.0,1.6,0,41.3888
-922,profiling,https://github.com/pyutils/line_profiler,,,,pyutils/line_profiler,line_profiler,1655,96,16,Cython,,line_profiler: Line-by-line profiling for Python,pyutils,2023-02-21,2019-12-10,167,9.901709401709402,[],2022-12-09,38,"['Erotemic@kitware', 'Hanaasagi', 'Nodd@onera', 'Theelx', 'artemisart', 'caethan', 'dependabot[bot]', 'kmike@zytedata,scrapinghub', 'mforbes@washingtonstateuniversity', 'rkern@enthought']",5,10,"['enthought', 'kitware', 'onera', 'washingtonstateuniversity', 'zytedata,scrapinghub']","['@Kitware', '@enthought ', '@zytedata, @ScrapingHub', 'ONERA', 'Washington State University']",,1.48,16,6,39,2,5,6,5,16.0,43.0,90.0,2.7,0,38.86244
-330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1645,485,84,Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2023-02-19,2017-03-07,311,5.286960514233241,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",2019-10-02,7,"['Franck-Dernoncourt', 'Gregory-Howard', 'JohnGiorgi@universityoftoronto', 'jennyjylee', 'toltoxgh', 'tompollard@mit']",2,10,"['mit', 'universityoftoronto']","['MIT', 'University of Toronto']",,0.0,1,1,73,41,0,0,0,1.0,1.0,90.0,1.0,0,16.4226
-436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1639,150,19,Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2023-02-21,2021-04-28,95,17.25263157894737,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",2023-02-21,39,"['davidberenstein1957@argilla-io', 'dcfidalgo@maxplanckcomputing&datafacility', 'dependabot[bot]', 'dvsrepo@argilla.io', 'frascuchon@recognai', 'ignacioct@aarhusuniversity,vestas', 'keithCuniah@argilla.io', 'leireropl', 'leiyre', 'tomaarsen@argilla']",6,10,"['aarhusuniversity,vestas', 'argilla', 'argilla-io', 'argilla.io', 'maxplanckcomputing&datafacility', 'recognai']","['@argilla-io ', 'Aarhus University, Vestas', 'Argilla', 'Argilla.io', 'Max Planck Computing & Data Facility', 'Recognai', 'argilla.io']",,10.23,533,343,22,0,22,49,22,533.0,575.0,90.0,1.1,0,48.66356
-768,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1636,202,17,Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2023-02-21,2019-11-26,169,9.672297297297296,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",2023-02-15,41,"['GFabien', 'JulianKlug', 'allcontributors[bot]', 'dmus', 'dvolgyes', 'efirdc', 'fepegar@microsoftuclkcl-bmeis', 'justusschock@lightning-ai', 'mattwarkentin@universityofcalgary', 'pre-commit-ci[bot]']",3,10,"['lightning-ai', 'microsoftuclkcl-bmeis', 'universityofcalgary']","['@Lightning-AI', '@microsoft @UCL @KCL-BMEIS', 'University of Calgary']",,2.44,34,21,39,0,0,79,79,34.0,56.0,90.0,1.6,0,42.80703
-779,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1627,233,54,Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2023-02-16,2019-07-17,188,8.654255319148936,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",2022-08-31,37,"['PhilipMay@telekom', 'Timoeller@deepset', 'bogdankostic@deepset-ai', 'brandenchan', 'ftesser', 'johann-petrak@sheffieldnlp,gatenlp,ofai', 'julian-risch@deepset', 'kolk', 'tanaysoni', 'tholor@deepset']",4,10,"['deepset', 'deepset-ai', 'sheffieldnlp,gatenlp,ofai', 'telekom']","['@deepset-ai', '@sheffieldnlp, @GateNLP, @OFAI', '@telekom', 'deepset']",,0.04,5,3,44,6,0,7,7,5.0,6.0,90.0,1.2,0,31.82847
-799,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1618,99,25,Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2023-02-21,2017-11-10,275,5.86839378238342,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",2023-02-12,84,"['andrewshadura@collabora', 'arminweigl', 'arusahni@materializeinc', 'briancappello', 'laggardkernel@none', 'pgjones', 'potomak', 'pszpetkowski@pkobp', 'sanderfoobar', 'wwwjfy@grab']",5,10,"['collabora', 'grab', 'materializeinc', 'none', 'pkobp']","['@Grab', '@MaterializeInc ', 'Collabora', 'None', 'PKO BP']",,2.0,15,11,64,0,0,10,10,15.0,13.0,90.0,0.9,0,43.80907
-683,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1618,91,31,Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2023-02-20,2022-05-03,42,38.39322033898305,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",2023-02-10,11,"['cclauss@christianclauss', 'dohertyguirand', 'drubinstein@spotify', 'gudgud96@bandlab', 'johngao2@spotify', 'jvbalen', 'michaelhball@merantix', 'perploug@spotify', 'rabitt']",4,10,"['bandlab', 'christianclauss', 'merantix', 'spotify']","['@bandlab', '@merantix ', '@spotify', 'Christian Clauss', 'Spotify']",,0.79,21,9,10,0,0,0,0,21.0,7.0,90.0,0.3,0,26.47297
-509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1611,600,58,Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2023-02-20,2018-11-26,221,7.280180761781795,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",2022-12-14,200,"['Squadrick@thoughtspot', 'WindQAQ@googlers', 'autoih', 'bhack', 'facaiy', 'fsx950223@amd', 'gabrieldemarmiesse@preligens', 'guillaumekln@systran', 'qlzh727@google', 'seanpmorgan@aws']",7,10,"['amd', 'aws', 'google', 'googlers', 'preligens', 'systran', 'thoughtspot']","['@Aws', '@SYSTRAN', '@googlers ', '@thoughtspot', 'AMD', 'Google', 'Preligens']",,0.9,42,18,52,2,4,8,4,42.0,70.0,90.0,1.7,0,44.70853
-205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1610,123,33,Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2023-02-21,2019-04-24,200,8.05,"['python', 'visualization', 'debugger']",2021-11-13,3,"['alexmojaki', 'lvelvee']",0,10,[],[],,0.0,1,0,47,16,0,0,0,1.0,0.0,90.0,0.0,0,6.85468
-377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1605,116,21,Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2023-02-20,2020-11-07,119,13.422939068100359,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",2022-01-18,10,"['Haziqa-coder', 'JoaoLages@outsystems', 'SSamDav@outsystems', 'chiragjn@truefoundry', 'jalammar@cohere-ai', 'joaonadkarni', 'nostalgebraist', 'sugatoray@universityofwisconsin-milwaukee', 'thomas-chong@hkust']",5,10,"['cohere-ai', 'hkust', 'outsystems', 'truefoundry', 'universityofwisconsin-milwaukee']","['@cohere-ai ', '@truefoundry ', 'HKUST', 'OutSystems', 'Outsystems', 'University of Wisconsin - Milwaukee']",,0.0,3,1,28,13,0,5,5,3.0,2.0,90.0,0.7,0,24.08712
-597,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1602,120,33,Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2023-02-21,2020-01-07,163,9.819614711033275,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",2023-01-29,18,"['Ariel77', 'FreeRealEstate221@uber', 'GavinSteiningerUber', 'edwinnglabs@uber', 'pochoi@ucdavis', 'ppstacy', 'steveyang90', 'szmark001@google', 'vincewu51@uber', 'wangzhishi']",3,10,"['google', 'uber', 'ucdavis']","['@Google', 'UC Davis', 'Uber']",,1.56,20,12,38,1,7,8,7,20.0,18.0,90.0,0.9,0,34.13204
-263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1600,2141,148,Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2023-02-20,2013-03-22,517,3.0905077262693155,[],2023-01-29,40,"['QBatista@mit', 'Smit-create', 'cc7768@umaprotocol', 'davidrpugh@kingabdullahuniversityofscienceandtechnology', 'jstac@australiannationaluniversity', 'mmcky', 'oyamad@universityoftokyo', 'rht', 'sglyon@valorumdata', 'shizejin']",6,10,"['australiannationaluniversity', 'kingabdullahuniversityofscienceandtechnology', 'mit', 'umaprotocol', 'universityoftokyo', 'valorumdata']","['@UMAprotocol', 'Australian National University', 'King Abdullah University of Science and Technology', 'MIT', 'University of Tokyo', 'Valorum Data']",,1.94,58,40,121,1,2,4,2,58.0,183.0,90.0,3.2,0,45.13758
-876,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1594,599,30,Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2023-02-21,2021-12-19,61,25.948837209302326,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",2023-02-02,11,"['SalMireles', 'asrjy@zodhya-git', 'capac', 'ericgarza70', 'haydenliu', 'mbrukman@google', 'naiborhujosua', 'paw-lu', 'rasbt@lightning-ai,universityofwisconsin-madison', 'rnckp']",3,10,"['google', 'lightning-ai,universityofwisconsin-madison', 'zodhya-git']","['@Google', '@Lightning-AI , University of Wisconsin-Madison', '@zodhya-git ']",,1.73,16,7,14,1,1,2,1,16.0,14.0,90.0,0.9,0,27.67259
-299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1594,103,27,Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2023-02-20,2010-04-08,671,2.3725281735062724,[],2022-11-16,25,"['Abdur-rahmaanJ@compileralchemy', 'Amper@victoriametrics', 'Briaoeuidhtns', 'JulienPalard', 'brentp@universityofutah', 'dalexander', 'j450h1@microsoft', 'jerabaul29', 'nykh@sumologic', 'righthandabacus']",5,10,"['compileralchemy', 'microsoft', 'sumologic', 'universityofutah', 'victoriametrics']","['@VictoriaMetrics', '@compileralchemy ', 'Microsoft', 'Sumo Logic', 'University of Utah']",,0.29,4,1,157,3,1,0,1,4.0,2.0,90.0,0.5,0,31.13677
-596,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1582,267,43,Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2023-02-21,2018-06-15,244,6.464681844716871,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",2023-02-03,48,"['Ivan-Dimitrov', 'WeichenXu123@databricks', 'abditag2@uber', 'chongxiaoc@uber', 'liangz1@databricks', 'megaserg', 'praateekmahajan@iterable', 'rgruener@netflix', 'selitvin', 'tgaddair@uber']",4,10,"['databricks', 'iterable', 'netflix', 'uber']","['@Iterable ', '@Netflix', '@databricks', '@databricks ', '@uber ', 'Uber', 'Uber ']",,0.4,18,4,57,1,10,24,10,18.0,24.0,90.0,1.3,0,38.4399
-378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1578,208,18,Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2023-02-18,2019-10-30,173,9.121387283236995,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",2023-02-18,19,"['Simon-Free', 'absynthe@amazonwebservices', 'achimgaedke', 'brandonserna@u.s.geologicalsurvey', 'mekomlusa', 'oegedijk@thoughtworks', 'oegesam', 'rajgupt@optum', 'raybellwaves@dtn', 'yanhong-zhao-ef@educationfirst']",6,10,"['amazonwebservices', 'dtn', 'educationfirst', 'optum', 'thoughtworks', 'u.s.geologicalsurvey']","['Amazon Web Services', 'DTN', 'Education First', 'Optum', 'ThoughtWorks', 'U.S. Geological Survey']",,1.6,32,28,40,0,7,23,7,32.0,93.0,90.0,2.9,0,42.7865
-900,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,1573,190,22,Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2023-02-21,2019-11-16,170,9.221943048576215,"['machine-learning', 'automl', 'regression', 'classification']",2022-09-28,18,"['Ankur-singh@zoop.one', 'Arritmic@universityofoulu', 'brendalf@wildlife-studios', 'dataprofessor@streamlit', 'dependabot[bot]', 'felipesassi', 'pyup-bot@pyupio', 'shankarpandala@appliedmaterials', 'shyamcody', 'vidyap-xgboost@fiolabs-internal']",7,10,"['appliedmaterials', 'fiolabs-internal', 'pyupio', 'streamlit', 'universityofoulu', 'wildlife-studios', 'zoop.one']","['@fiolabs-internal ', '@pyupio', '@wildlife-studios', 'Applied Materials', 'Streamlit Inc.', 'University of Oulu', 'zoop.one']",,0.6,38,3,40,5,1,4,1,38.0,24.0,90.0,0.6,0,30.57017
-143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1559,113,37,Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2023-02-21,2018-02-24,260,5.983004385964913,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",2020-07-17,4,"['AjayP13', 'alexsands', 'jweese', 'plasticity-admin@plasticityai']",1,10,['plasticityai'],['@plasticityai'],,0.0,0,0,61,32,0,28,28,0.0,0.0,90.0,0.0,0,15.27622
-662,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1557,297,53,Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2023-02-20,2014-08-07,445,3.4921499519384813,[],2023-02-14,81,"['apmasell', 'esc@anaconda', 'franzhaas', 'gmarkall@nvidia', 'john-tornblom', 'pitrou', 'seibert', 'sklam', 'stuartarchibald', 'whitequark']",2,10,"['anaconda', 'nvidia']","['@nvidia', 'Anaconda Inc.']",,1.5,33,13,104,0,0,13,13,33.0,103.0,90.0,3.1,0,45.49609
-311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1552,84,26,Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2023-02-20,2018-03-13,258,6.012174875484228,[],2022-11-04,39,"['ChrisCarini@linkedin', 'anthrotype', 'bzzzzzz@linkedin', 'dsully@linkedin', 'ipmb@lincolnloop', 'jhermann@mam-dev', 'lorencarvalho@linkedin', 'pfmoore', 'timgates42@iress', 'warsaw@linkedin']",4,10,"['iress', 'lincolnloop', 'linkedin', 'mam-dev']","['@LinkedIn', '@linkedin', '@mam-dev ', 'IRESS', 'Lincoln Loop', 'LinkedIn']",,0.15,5,3,60,4,2,4,2,5.0,5.0,90.0,1.0,0,31.55807
-635,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1539,77,43,JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2023-02-18,2017-07-22,291,5.278294953454189,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",2022-05-18,10,"['MichaelCurrin@actcommodities', 'aivarannamaa@cybernetica', 'alexmojaki', 'bugosiphionah', 'houluy@beijinguniversityofpostsandtelecomms.', 'skeledrew@skelevilletechnologysolutions', 'spamegg1']",4,10,"['actcommodities', 'beijinguniversityofpostsandtelecomms.', 'cybernetica', 'skelevilletechnologysolutions']","['ACT Commodities', 'Beijing University of Posts and Telecomms.', 'Cybernetica', 'Skeleville Technology Solutions']",,0.02,1,0,68,9,0,1,1,1.0,2.0,90.0,2.0,0,25.67002
-224,sim,https://github.com/google/brax,,,,google/brax,brax,1537,159,37,Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2023-02-19,2021-06-02,90,17.07777777777778,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",2023-02-09,27,"['7thStringofZhef', 'cdfreeman-google@google', 'cemlyn007@instadeep', 'danielsuo@princetonuniversity', 'erikfrey', 'lebrice', 'namheegordonkim', 'sgillen', 'traversaro@italianinstituteoftechnology', 'vwxyzjn@drexeluniversity']",5,10,"['drexeluniversity', 'google', 'instadeep', 'italianinstituteoftechnology', 'princetonuniversity']","['Drexel University', 'Google', 'InstaDeep', 'Italian Institute of Technology', 'Princeton University']",,0.37,48,31,21,0,8,9,8,48.0,72.0,90.0,1.5,0,39.00585
-612,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1525,121,33,Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2023-02-21,2014-07-17,448,3.3975175047740294,"['pytest', 'mock', 'hacktoberfest']",2023-02-14,64,"['The-Compiler@bruhinsoftware', 'blueyed@freelancer,upforhire', 'fogo', 'graingert', 'hugovk@nordsoftware', 'inderpreet99@wayfair', 'jurko-gospodnetic@pkesistemi', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'tirkarthi@visa']",7,10,"['bruhinsoftware', 'esss', 'freelancer,upforhire', 'nordsoftware', 'pkesistemi', 'visa', 'wayfair']","['Bruhin Software', 'ESSS', 'Freelancer, up for hire', 'Nord Software', 'PKE sistemi', 'Visa Inc.', 'Wayfair']",,0.96,15,13,105,0,5,7,5,15.0,9.0,90.0,0.6,0,43.24972
-591,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1510,260,36,Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2023-02-21,2020-03-21,152,9.897003745318353,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",2022-02-18,13,"['Buuntu@facebook', 'F1r3Hydr4nt', 'JasonHoku@jasonhoku', 'RobbertH', 'adamnieto@pfizer', 'arihantsurana@nearmap', 'cdeil@heidelbergcement', 'dependabot-preview[bot]', 'dependabot[bot]', 'ilyakam']",5,10,"['facebook', 'heidelbergcement', 'jasonhoku', 'nearmap', 'pfizer']","['@facebook', '@nearmap ', '@pfizer', 'HeidelbergCement', 'JasonHoku']",,0.0,4,2,36,12,0,1,1,4.0,2.0,90.0,0.5,0,23.47502
-438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1500,183,45,Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2023-02-20,2021-03-10,102,14.705882352941176,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",2023-02-17,20,"['ajstewartlang@universityofmanchester', 'amorfinv', 'darrenwiens', 'giswqs@universityoftennessee', 'jbednar@anaconda', 'junjiez', 'rowheat02@naxa', 'sackh', 'sdruskat@germanaerospacecenter(dlr)', 'sugatoray@universityofwisconsin-milwaukee']",6,10,"['anaconda', 'germanaerospacecenter(dlr)', 'naxa', 'universityofmanchester', 'universityoftennessee', 'universityofwisconsin-milwaukee']","['Anaconda, Inc.', 'German Aerospace Center (DLR)', 'NAXA', 'University of Manchester', 'University of Tennessee', 'University of Wisconsin - Milwaukee']",,4.35,49,42,24,0,39,35,39,49.0,50.0,90.0,1.0,0,42.83276
-531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1499,113,39,Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2023-02-19,2020-12-11,114,13.067247820672478,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",2023-02-20,40,"['KSGulin@neuralmagic', 'bfineran@neuralmagic', 'corey-nm', 'dbogunowicz', 'eldarkurtic', 'jeanniefinks@neuralmagic', 'kevinaer@neuralmagic', 'markurtz@neuralmagic', 'natuan', 'rahul-tuli@neuralmagic']",1,10,['neuralmagic'],"['@neuralmagic', '@neuralmagic ', 'Neural Magic']",,8.54,243,222,27,0,13,13,13,243.0,95.0,90.0,0.4,0,39.34342
-828,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,1495,169,18,Python,https://gymnasium.farama.org,"Gymnasium: A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)",farama-foundation,2023-02-21,2022-09-08,23,62.66467065868263,[],2023-02-21,410,"['RedTachyon', 'gdb', 'jietang', 'jkterry1', 'jonasschneider', 'joschu', 'pseudo-rnd-thoughts', 'pzhokhov', 'tlbtlbtlb@umbrellaresearch', 'zuoxingdong@navercorp']",2,10,"['navercorp', 'umbrellaresearch']","['NAVER Corp', 'Umbrella Research']",,8.63,221,185,6,0,6,12,6,221.0,334.0,90.0,1.5,0,45.34824
-498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1482,244,68,Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2023-02-19,2020-09-09,128,11.578125,[],2021-12-14,3,"['Korbpw', 'gaochen315@meta', 'jbhuang0604@virginiatech']",2,10,"['meta', 'virginiatech']","['Meta', 'Virginia Tech']",,0.0,0,0,30,14,0,0,0,0.0,0.0,90.0,0.0,0,11.00056
-372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1462,171,39,Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2023-02-21,2021-05-21,91,15.940809968847352,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",2023-02-20,34,"['MATRIX4284', 'RitwikGupta@ucberkeley', 'adamjstewart@universityofillinoisaturbana-champaign', 'ashnair1', 'calebrob6@microsoft', 'dependabot[bot]', 'iejMac@stabilityai', 'isaaccorley@dronebase', 'nilsleh', 'remtav@nrcan']",6,10,"['dronebase', 'microsoft', 'nrcan', 'stabilityai', 'ucberkeley', 'universityofillinoisaturbana-champaign']","['@NRCan ', 'DroneBase', 'Microsoft', 'StabilityAI', 'UC Berkeley', 'University of Illinois at Urbana-Champaign']",,8.77,298,244,21,0,4,4,4,298.0,467.0,90.0,1.6,0,45.49611
-324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1460,124,31,Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2023-02-21,2016-10-19,331,4.410876132930514,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",2022-12-08,40,"['Jwomers@pyupio', 'cb22@roomsh', 'chowmean@practoolacabslearnstepsletusdevops', 'jayfk', 'lesleycla@pyupio', 'mgedmin@programmersofvilnius', 'nicholasks@syncsketch', 'pyup-bot@pyupio', 'rafaelpivato', 'yeisonvargasf@pyupio']",5,10,"['practoolacabslearnstepsletusdevops', 'programmersofvilnius', 'pyupio', 'roomsh', 'syncsketch']","['@practo @olacabs @learnsteps @letusdevops', '@pyupio', '@pyupio ', '@roomsh ', 'Programmers of Vilnius', 'SyncSketch']",,2.06,41,30,77,2,11,9,11,41.0,39.0,90.0,1.0,0,41.27583
-298,crypto,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1458,192,29,Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2023-02-21,2021-03-09,102,14.274125874125874,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",2023-02-02,16,"['AlgoQ@algoq', 'Aryan34', 'AydinGokce', 'EmersonDove@student', 'arun-annamalai@amazonwebservices', 'bfan1256', 'jkalish14', 'jordibeen@develeopardscheck-mobility', 'mehta-avi', 'qmatias@open-shade']",5,10,"['algoq', 'amazonwebservices', 'develeopardscheck-mobility', 'open-shade', 'student']","['@Develeopards @check-mobility ', '@open-shade ', 'AlgoQ', 'Amazon Web Services', 'Student']",,7.21,16,5,24,1,3,14,3,16.0,36.0,90.0,2.2,0,37.0026
-977,ml,https://github.com/lucidrains/musiclm-pytorch,1.0,,,lucidrains/musiclm-pytorch,musiclm-pytorch,1458,91,71,Python,,"musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch",lucidrains,2023-02-21,2023-01-27,3,392.53846153846155,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'music-synthesis', 'transformers']",2023-02-17,1,['lucidrains'],0,10,[],[],,1.06,22,20,1,0,25,304,25,22.0,110.0,90.0,5.0,0,22.5318
-861,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1446,512,51,Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2023-02-20,2015-04-09,410,3.519471488178025,[],2023-02-20,256,"['Carreau@quansight-labs', 'MSeal@noteable-io', 'SylvainCorlay@quantstack', 'blink1073@mongodb', 'damianavila', 'jdfreder@google', 'jhamrick', 'minrk@simularesearchlaboratory', 'mpacer@netflix', 'takluyver']",7,10,"['google', 'mongodb', 'netflix', 'noteable-io', 'quansight-labs', 'quantstack', 'simularesearchlaboratory']","['@Quansight-Labs', '@google ', '@noteable-io', 'MongoDB', 'Netflix', 'QuantStack', 'Simula Research Laboratory']",,3.0,69,28,96,0,21,9,21,69.0,85.0,90.0,1.2,0,53.23685
-949,nlp,https://github.com/alibaba/easynlp,,,,alibaba/easynlp,EasyNLP,1442,178,31,Python,,EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit,alibaba,2023-02-21,2022-04-06,46,31.347826086956523,"['transformers', 'bert', 'nlp', 'pretrained-models', 'deep-learning', 'pytorch', 'fewshot-learning', 'knowledge-distillation', 'knowledge-pretraining', 'text-image-retrieval', 'text-to-image-synthesis', 'machine-learning', 'text-classification', 'transfer-learning']",2023-02-21,33,"['Chen9154', 'LZYSaltedFish', 'Longpai@cqu', 'chywang', 'deplay', 'lwmlyy@shanghaiuniversityoffinanceandeconomics', 'minghui@alibabagroup', 'ttliu-kiwi@daseecnu', 'wjn1996@http://www.wjn1996.cn', 'zhuxiangru']",5,10,"['alibabagroup', 'cqu', 'daseecnu', 'http://www.wjn1996.cn', 'shanghaiuniversityoffinanceandeconomics']","['Alibaba Group', 'CQU', 'Dase@Ecnu', 'Shanghai University of Finance and Economics', 'http://www.wjn1996.cn']",,11.25,52,40,11,0,1,1,1,52.0,41.0,90.0,0.8,0,37.93277
-638,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1440,674,58,Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2023-02-20,2015-09-13,388,3.7072453107760204,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",2023-02-20,306,"['crusaderky', 'fjetter@coiled', 'gjoseph92@coiled', 'graingert', 'hendrikmakait@coiled', 'jacobtomlinson@nvidia', 'jakirkham', 'jrbourbeau@coiled', 'mrocklin@coiled', 'pitrou']",2,10,"['coiled', 'nvidia']","['@coiled', '@coiled ', '@nvidia']",,14.63,297,171,91,0,0,26,26,297.0,809.0,90.0,2.7,0,55.90811
-429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1428,118,17,TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2023-02-21,2019-08-17,183,7.778988326848249,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",2023-01-02,46,"['Carreau@quansight-labs', 'JessicaBarh', 'bollwyvl', 'dependabot[bot]', 'fcollonval@quantstack', 'jtpio@quantstack', 'karlaspuldaro@ibm-codait', 'krassowski@universityofoxford|quansight', 'martinRenou@quantstack', 'trajamsmith@google']",5,10,"['google', 'ibm-codait', 'quansight-labs', 'quantstack', 'universityofoxford|quansight']","['@Quansight-Labs', '@QuantStack', 'Google', 'IBM - CODAIT', 'University of Oxford | Quansight']",,3.19,46,23,43,2,2,12,2,46.0,77.0,90.0,1.7,0,39.48395
-108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1427,228,32,Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2023-02-21,2016-02-26,364,3.9126517822169995,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",2022-06-03,48,"['asaolabs', 'dependabot-preview[bot]', 'gmyers-amfam@amfamlabs', 'jmeekhof@charliehealth', 'loide', 'mwbenowitz', 'nficano', 'rishabh-bhargava@stanforduniversity', 'slapula', 'soapergem@gemovationlabs']",4,10,"['amfamlabs', 'charliehealth', 'gemovationlabs', 'stanforduniversity']","['@AmFamLabs ', 'Charlie Health', 'Gemovation Labs, LLC', 'Stanford University']",,0.02,3,0,85,9,0,8,8,3.0,0.0,90.0,0.0,0,28.83879
-721,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1405,74,16,Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2023-02-20,2018-09-03,233,6.022657685241886,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",2022-12-20,28,"['Jasha10', 'anthonytec2@upenn', 'jgehring@facebookairesearch', 'kfollesdal', 'maresb@m²hycongmbh', 'odelalleau', 'omry@facebookairesearch', 'pereman2@ibmceph', 'pixelb@facebook', 'sugatoray@universityofwisconsin-milwaukee']",6,10,"['facebook', 'facebookairesearch', 'ibmceph', 'm²hycongmbh', 'universityofwisconsin-milwaukee', 'upenn']","['@facebook', '@ibm @ceph', '@upenn', 'Facebook AI Research', 'University of Wisconsin - Milwaukee', 'm²hycon GmbH']",,2.06,34,18,54,2,4,4,4,34.0,75.0,90.0,2.2,0,40.18628
-317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1402,252,32,Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2023-02-18,2019-06-09,193,7.248153618906942,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",2023-02-19,143,"['aholkner', 'andy-5', 'benmoran56', 'caffeinepills', 'dangillet', 'einarf@zetta.io', 'phillip-nguyen', 'reidrac@itv', 'silvester747@tomtom-international', 'techtonik']",3,10,"['itv', 'tomtom-international', 'zetta.io']","['@ITV ', '@tomtom-international', 'Zetta.IO']",,7.92,79,54,45,0,9,15,9,79.0,193.0,90.0,2.4,0,48.74554
-149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1397,614,89,Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2023-02-21,2013-01-17,526,2.6515726681127982,"['salesforce', 'api', 'api-client', 'python']",2023-01-18,75,"['andscoop', 'demianbrecht@salesforce', 'fr-anthony', 'hello-josh', 'jasonschroeder-sfdc@salesforce', 'jon-wobken', 'llazzaro@:+1:', 'nickcatal', 'scottpersinger@tatari', 'shawalli']",3,10,"[':+1:', 'salesforce', 'tatari']","[':+1: ', '@salesforce', '@salesforce ', 'Tatari']",,0.23,54,30,123,1,5,4,5,54.0,37.0,90.0,0.7,0,39.77074
-318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1395,263,56,Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2023-02-20,2016-01-04,372,3.74712202609363,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",2023-02-21,137,"['Cleptomania', 'SirGnip', 'chpurdy', 'dangillet', 'einarf@zetta.io', 'eruvanos@vw-dilab', 'janscas', 'pauleveritt@jetbrains', 'pushfoo@freelance,opentofull-time', 'pvcraven@optimizely']",5,10,"['freelance,opentofull-time', 'jetbrains', 'optimizely', 'vw-dilab', 'zetta.io']","['@vw-dilab  ', 'Freelance, open to full-time', 'JetBrains', 'Optimizely', 'Zetta.IO']",,15.06,213,173,87,0,0,18,18,213.0,246.0,90.0,1.2,0,53.98334
-613,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1391,191,34,Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2023-02-20,2014-04-17,461,3.0117537890504176,"['pytest', 'python']",2022-12-03,81,"['blueyed@freelancer,upforhire', 'davidszotten', 'graingert', 'hugovk@nordsoftware', 'ionelmc', 'nedbat', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'schlamar', 'wolph']",3,10,"['esss', 'freelancer,upforhire', 'nordsoftware']","['ESSS', 'Freelancer, up for hire', 'Nord Software']",,0.62,32,13,108,3,0,5,5,32.0,78.0,90.0,2.4,0,40.53243
-284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1385,164,46,Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2023-02-21,2015-05-24,404,3.42458495231367,"['python', 'orm', 'database']",2022-03-13,32,"['ArthurYdalgo', 'BrandonShar@ezcater', 'cselmer', 'denislins', 'ihumanable', 'jiahut', 'josephmancuso@masoniteframework', 'scorphus@gitlab', 'sdispater', 'vaibhavmule@polymerize']",4,10,"['ezcater', 'gitlab', 'masoniteframework', 'polymerize']","['@GitLab', '@MasoniteFramework ', '@Polymerize ', 'ezCater']",,0.02,2,0,94,12,0,3,3,2.0,1.0,90.0,0.5,0,27.42174
-267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1384,89,22,Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2023-02-18,2017-08-12,288,4.796039603960396,"['latex', 'academic-publishing', 'science', 'arxiv']",2022-01-18,9,"['ImgBotApp@imgbot', 'bfirsh@replicate', 'dependabot-preview[bot]', 'dependabot-support', 'dependabot[bot]', 'jai-deepsource@deepsourcelabs', 'jkukul', 'ryota-mo']",3,10,"['deepsourcelabs', 'imgbot', 'replicate']","['@deepsourcelabs ', '@replicate', 'Imgbot']",,0.0,20,8,67,13,0,0,0,20.0,11.0,90.0,0.6,0,22.65393
-766,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1371,192,22,Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2023-02-21,2022-09-15,22,59.98125,[],2022-11-22,13,"['AK391@huggingface', 'Lime-Cakes', 'PabloRosales', 'ShaunXZ', 'adietrichs', 'alexgann', 'costiash', 'divamgupta', 'fchollet', 'virtualramblas']",1,10,['huggingface'],['Huggingface'],,1.79,11,1,5,3,0,0,0,11.0,21.0,90.0,1.9,0,20.14572
-478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1370,240,47,Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2023-02-21,2018-09-20,230,5.9344059405940595,[],2023-01-25,49,"['adarob@google', 'craffel@uncandhuggingface', 'dustinvtran@googlebrain', 'hwchung27', 'katelee168', 'mmatena', 'nfiedel@google', 'nshazeer', 'sharannarang', 'toponado-zz@google']",3,10,"['google', 'googlebrain', 'uncandhuggingface']","['@Google', '@google', 'Google', 'Google Brain', 'UNC and Hugging Face']",,0.12,2,0,54,1,0,1,1,2.0,0.0,90.0,0.0,0,27.92751
-659,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1367,267,46,Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2023-02-21,2016-10-21,330,4.133477321814254,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",2023-02-16,59,"['JeanKossaifi@nvidiaai', 'MarieRoald@simulametropolitan', 'aarmey@universityofcalifornia,losangeles', 'asmeurer@quansight', 'caglayantuna@inria', 'cyrillustan', 'merajhashemi', 'scopatz', 'taylorpatti', 'yngvem@bouvet']",6,10,"['bouvet', 'inria', 'nvidiaai', 'quansight', 'simulametropolitan', 'universityofcalifornia,losangeles']","['@Quansight ', 'Bouvet', 'INRIA', 'NVIDIA AI', 'Simula Metropolitan', 'University of California, Los Angeles']",,5.31,50,33,77,0,1,3,1,50.0,104.0,90.0,2.1,0,45.87107
-460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1363,318,64,Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2023-02-20,2018-10-16,227,6.00062893081761,"['natural-language-processing', 'machine-learning', 'research']",2023-02-14,10,"['Harmon758', 'bdhingra', 'calberti', 'dhgarrette@googleresearch', 'djweiss@google', 'jhclark-google@google', 'kentonl@universityofwashington', 'manzilz', 'oja', 'slavpetrov']",3,10,"['google', 'googleresearch', 'universityofwashington']","['Google', 'Google Research', 'University of Washington']",,0.1,5,1,53,0,0,0,0,5.0,1.0,90.0,0.2,0,25.86332
-676,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,sedona,1359,558,105,Java,http://sedona.apache.org/,sedona: A cluster computing framework for processing large-scale geospatial data,apache,2023-02-20,2015-04-24,408,3.3250611674239776,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",2023-02-20,93,"['Imbruced', 'Kontinuation@wherobots', 'jiayuasu@wherobots', 'jinxuan@bloomberg', 'kanchanchy', 'mbasmanova', 'netanel246@upstreamsecurity', 'sekikn@nttdata', 'umartin', 'zongsizhang@grab']",5,10,"['bloomberg', 'grab', 'nttdata', 'upstreamsecurity', 'wherobots']","['Bloomberg', 'Grab', 'NTT DATA', 'Upstream Security ', 'Wherobots Inc.']",,4.27,180,176,95,0,4,9,4,180.0,97.0,90.0,0.5,0,47.12692
-898,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1338,224,42,Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2023-02-19,2017-07-13,292,4.568780487804878,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",2022-10-17,24,"['FavioVazquez@life', 'Jarrioja@boitas', 'MrPowers', 'argenisleon@bumblebee', 'arpit1997@socialcopsdeviiitvatlanhq', 'dependabot[bot]', 'eschizoid', 'joseangelhernao', 'luis11011@bumblebee', 'pyup-bot@pyupio']",5,10,"['boitas', 'bumblebee', 'life', 'pyupio', 'socialcopsdeviiitvatlanhq']","['@boitas', '@pyupio', '@socialcopsdev @iiitv @atlanhq', 'Bumblebee', 'Life']",,3.13,11,6,68,4,7,23,7,11.0,7.0,90.0,0.6,0,35.30256
-338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1334,79,19,Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2023-02-21,2021-10-27,69,19.333333333333332,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",2023-01-24,8,"['Lunar-ZZ', 'TienTim', 'ardacoskunses', 'iiSeymour@oxfordnanoporetechnologies', 'mend-bolt-for-github[bot]', 'paul-nameless', 'tlkh@singaporeuniversityoftechnologyanddesign']",2,10,"['oxfordnanoporetechnologies', 'singaporeuniversityoftechnologyanddesign']","['Oxford Nanopore Technologies', 'Singapore University of Technology and Design']",,0.29,13,2,16,1,0,0,0,13.0,25.0,90.0,1.9,0,24.24257
-450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1331,350,61,JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2023-02-20,2014-05-07,459,2.899782135076253,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",2023-02-10,82,"['HaudinFlorence@quantstack', 'SylvainCorlay@quantstack', 'VasavanThiru', 'davidbrochart@quantstack', 'dependabot[bot]', 'ellisonbg@amazonwebservices', 'fitoprincipe@ldc', 'jasongrout@databricks', 'martinRenou@quantstack', 'sackh']",4,10,"['amazonwebservices', 'databricks', 'ldc', 'quantstack']","['@QuantStack', '@databricks', 'Amazon Web Services', 'LDC', 'QuantStack']",,1.87,34,6,107,0,4,9,4,34.0,43.0,90.0,1.3,0,43.59071
-877,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1324,220,36,Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2023-02-20,2017-03-30,307,4.300696055684455,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",2022-12-20,22,"['aaronreidsmith@sevcosecurity', 'anne-decusatis', 'charlesdrotar@microsoft', 'chivalry@chivalrysoftware', 'christopher-siewert', 'felix-hilden', 'garyForeman', 'ryanrussell', 'telamonian@jpmorgan', 'tgsmith61591@toyota-connected']",5,10,"['chivalrysoftware', 'jpmorgan', 'microsoft', 'sevcosecurity', 'toyota-connected']","['@toyota-connected ', 'Chivalry Software', 'JP Morgan', 'Microsoft', 'Sevco Security']",,0.4,14,6,72,2,5,7,5,14.0,8.0,90.0,0.6,0,34.26207
-465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1321,226,26,Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2023-02-21,2021-07-12,84,15.672881355932203,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",2023-02-18,140,"['RenfeiChen-FB', 'YLGH', 'YazhiGao@facebookai', 'colin2328@pytorch', 'facebook-github-bot@facebook', 'joshuadeng', 's4ayub', 'samiwilf', 'xing-liu@facebookai', 'zyan0@meta']",4,10,"['facebook', 'facebookai', 'meta', 'pytorch']","['@facebook', '@pytorch ', 'Facebook AI', 'Meta']",,14.08,244,191,20,0,4,3,4,231.0,565.0,90.0,2.4,0,49.15202
-941,data,https://github.com/datastax/python-driver,,,,datastax/python-driver,python-driver,1318,510,81,Python,,python-driver: DataStax Python Driver for Apache Cassandra,datastax,2023-02-17,2013-07-08,502,2.624004550625711,[],2023-01-24,187,"['GregBestland', 'TheRealFalcon@canonical', 'aboudreault@kovarogroup', 'aholmberg', 'bdeggleston@apple', 'beltran@google', 'joaquincasares@audiusproject', 'mambocab@rapid7', 'rustyrazorblade@apple', 'thobbs@anticlassicstudios']",7,10,"['anticlassicstudios', 'apple', 'audiusproject', 'canonical', 'google', 'kovarogroup', 'rapid7']","['@AudiusProject', 'Anticlassic Studios, LLC', 'Apple', 'Canonical', 'Google LLC', 'Kovaro Group', 'Rapid7']",,0.25,8,4,117,1,0,9,9,8.0,13.0,90.0,1.6,0,45.8438
-885,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1317,224,21,Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2023-02-20,2019-08-15,183,7.163170163170163,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",2023-02-20,14,"['97harsh', 'MaggieWYZW@bumbleinc', 'Pranjalya@deepsync-technologies', 'codeananda', 'dependabot-preview[bot]', 'dependabot[bot]', 'isaacmg', 'kritim13', 'michaelwang1994', 'wwymak']",2,10,"['bumbleinc', 'deepsync-technologies']","['@deepsync-technologies', 'Bumble Inc']",,4.42,28,21,43,0,6,11,6,28.0,27.0,90.0,1.0,0,35.90675
-391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1300,193,25,Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2023-02-20,2021-12-17,61,21.064814814814813,"['image-translation', 'gans', 'anime']",2022-02-05,3,"['AK391@huggingface', 'mchong6', 'vganapati']",1,10,['huggingface'],['Huggingface'],,0.0,6,1,14,13,0,0,0,6.0,2.0,90.0,0.3,0,10.33555
-514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1293,200,21,Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2023-02-19,2016-12-28,321,4.02803738317757,[],2022-11-23,16,"['KhirilovA', 'agronholm@nextdaysolutionsoy', 'andrewcarretta', 'd10n', 'danohu', 'dhirschfeld', 'laurentS', 'leonarduschen', 'mzpqnxow@mzpqnxow', 'pre-commit-ci[bot]']",2,10,"['mzpqnxow', 'nextdaysolutionsoy']","['MZPQNXOW, LLC', 'NextDay Solutions Oy']",,0.69,16,3,75,3,0,3,3,16.0,55.0,90.0,3.4,0,33.00863
-435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1288,206,40,Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2023-02-21,2018-05-11,249,5.157894736842105,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",2023-01-24,41,"['JDTheRipperPC', 'ManuelAlvarezC@precognit', 'amontanez24', 'csala@pythiac', 'fealho@datacebo', 'katxiao', 'kveerama@mit', 'npatki@datacebo', 'pvk-developer@sdv-dev', 'xamm@h&mgroup']",6,10,"['datacebo', 'h&mgroup', 'mit', 'precognit', 'pythiac', 'sdv-dev']","['@datacebo', '@precognit ', '@pythiac ', '@sdv-dev ', 'DataCebo', 'H&M Group', 'MIT']",,2.83,189,159,58,1,8,9,8,189.0,198.0,90.0,1.0,0,44.45314
-474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1273,80,40,Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2023-02-21,2020-12-14,114,11.13875,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",2023-02-20,31,"['InquestGeronimo@neuralmagic', 'bfineran@neuralmagic', 'corey-nm', 'dbogunowicz', 'dhuangnm@neuralmagic', 'jeanniefinks@neuralmagic', 'kylesayrs', 'markurtz@neuralmagic', 'mgoin@neuralmagic', 'rahul-tuli@neuralmagic']",1,10,['neuralmagic'],"['@neuralmagic', 'Neural Magic']",,7.31,152,139,27,0,15,14,15,152.0,85.0,90.0,0.6,0,38.5848
-178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1253,282,50,Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2023-02-21,2017-03-14,310,4.040073698756333,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",2023-01-23,14,"['BreakBB@codecentric', 'adrianeboyd', 'davidefiocco@frontiersin', 'explosion-bot@explosion', 'honnibal@founderexplosion', 'ines@founderexplosion', 'kuk@alexanderkukushkindatasciencelaboratory', 'manojkumarvohra', 'maziyarpanahi@iscpifjohnsnowlabs', 'polm@cotonoha']",7,10,"['alexanderkukushkindatasciencelaboratory', 'codecentric', 'cotonoha', 'explosion', 'founderexplosion', 'frontiersin', 'iscpifjohnsnowlabs']","['@ISCPIF @JohnSnowLabs', '@codecentric', '@explosion', '@frontiersin', 'Alexander Kukushkin Data Science Laboratory', 'Cotonoha', 'Founder @explosion ']",,5.1,8,8,72,1,246,138,246,8.0,0.0,90.0,0.0,0,38.50456
-264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1249,63,16,Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2023-02-20,2020-08-02,133,9.360813704496788,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",2023-01-29,30,"['Abdeldjalil-H', 'EspenAlbert@wheel-me', 'ProgrammerPlus1998@金色财经', 'SepehrBazyar@gpsir', 'collerek@kaizentech', 'dependabot[bot]', 'johnthagen', 'mojixcoder@snapp-cab', 'ponytailer@leyantech', 's3rius']",6,10,"['gpsir', 'kaizentech', 'leyantech', 'snapp-cab', 'wheel-me', '金色财经']","['@snapp-cab', '@wheel-me ', 'GPSIR', 'KaizenTech', 'leyantech', '金色财经']",,4.88,75,51,31,1,7,30,7,75.0,77.0,90.0,1.0,0,41.22413
-414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1240,224,38,Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2023-02-15,2014-06-26,451,2.74423016123933,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",2023-01-22,68,"['ACSC-CyberLab', 'Pehat', 'carantunes@cern', 'chrismattmann@nasa', 'dongnizh', 'igormp', 'jjelosua@elevenpaths', 'kdurril', 'matthewdavislee', 'yashtanna93@amzn']",4,10,"['amzn', 'cern', 'elevenpaths', 'nasa']","['@amzn', '@cern', 'Elevenpaths', 'NASA']",,0.25,92,88,105,1,2,3,2,92.0,75.0,90.0,0.8,0,40.39795
-194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1216,79,16,Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2023-02-21,2019-01-14,214,5.674666666666667,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",2022-11-27,29,"['SKalt@resurety', 'allan-simon@rosaly', 'aminalaee', 'emcpow2', 'jordaneremieff', 'koxudaxi@tractabletractableai', 'lsorber', 'nathanglover@thewaltdisneycompany', 'simonw@datasette', 'zachmullen@kitware']",6,10,"['datasette', 'kitware', 'resurety', 'rosaly', 'thewaltdisneycompany', 'tractabletractableai']","['@Kitware ', '@REsurety', '@Rosaly', 'Datasette', 'The Walt Disney Company', 'Tractable @tractableai']",,0.35,12,7,50,3,7,14,7,12.0,11.0,90.0,0.9,0,35.34099
-566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1215,449,54,Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2023-02-19,2017-07-22,291,4.167074963253307,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",2023-01-01,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.48,4,4,68,2,0,2,2,4.0,3.0,90.0,0.8,0,20.35291
-720,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1214,82,28,Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2023-02-20,2021-11-18,65,18.433839479392624,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",2023-02-20,19,"['bamos@metaai(fair)', 'brentyi', 'cpaxton', 'exhaustin', 'fantaosha', 'jeffin07', 'joeaortiz', 'luisenp@facebookairesearchfacebookresearch', 'maurimo', 'mhmukadam@metaai']",3,10,"['facebookairesearchfacebookresearch', 'metaai', 'metaai(fair)']","['Facebook AI Research @facebookresearch ', 'Meta AI', 'Meta AI (FAIR)']",,4.15,102,76,15,0,5,6,5,103.0,48.0,90.0,0.5,0,35.78901
-916,math,https://github.com/google-research/torchsde,,,,google-research/torchsde,torchsde,1213,144,33,Python,,torchsde: Differentiable SDE solvers with GPU support and efficient sensitivity analysis. ,google-research,2023-02-20,2020-07-06,137,8.835587929240374,"['deep-learning', 'deep-neural-networks', 'pytorch', 'dynamical-systems', 'differential-equations', 'stochastic-processes', 'stochastic-differential-equations', 'stochastic-volatility-models', 'neural-differential-equations']",2021-07-26,5,"['dhirschfeld', 'lxuechen', 'mtsokol@bcg-gamma', 'patrick-kidger@googlex', 'ucalyptus']",2,10,"['bcg-gamma', 'googlex']","['@BCG-Gamma', 'Google X']",,0.0,6,2,32,19,0,2,2,6.0,3.0,90.0,0.5,0,17.3522
-162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1209,155,30,Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2023-02-21,2019-07-26,186,6.47513389441469,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",2023-02-17,20,"['KennethEnevoldsen@centerforhumanitiescomputingaarhus', 'adrianeboyd', 'bryant1410@michigannlp', 'danieldk@explosion', 'honnibal@founderexplosion', 'ines@founderexplosion', 'ryndaniels', 'shadeMe', 'svlandeg@explosion&oxykodit', 'tamuhey@indeedeng']",6,10,"['centerforhumanitiescomputingaarhus', 'explosion', 'explosion&oxykodit', 'founderexplosion', 'indeedeng', 'michigannlp']","['@MichiganNLP', '@explosion ', '@indeedeng', 'Center for Humanities Computing Aarhus', 'Explosion & OxyKodit', 'Founder @explosion ']",,0.81,21,19,44,0,8,12,8,21.0,21.0,90.0,1.0,0,39.37273
-304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1205,46,13,Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2023-02-20,2020-10-16,122,9.819557625145517,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",2023-02-15,20,"['RiddhiBagadiaa', 'Sami1309', 'ahmadnazeri', 'antony-eng', 'ksshiraja', 'saadhvi27', 'sdreyer', 'shabbyjoon', 'simba-git@featureform', 'steffitan23']",1,10,['featureform'],['Featureform'],,45.13,97,84,29,0,13,7,13,97.0,84.0,90.0,0.9,0,40.34776
-451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1201,244,32,Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2023-02-19,2013-05-04,511,2.347668249092432,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",2023-02-13,96,"['FirefoxMetzger@usr-lab', 'actions-user@actions', 'almarklein@independentsoftwareengineer', 'anntzer', 'blink1073@mongodb', 'dennisvang', 'hmaarrfk@californiainstituteoftechnology', 'jni@biomedicinediscoveryinstitute,monashuniversity', 'kuchi', 'paulmueller@gucklab']",7,10,"['actions', 'biomedicinediscoveryinstitute,monashuniversity', 'californiainstituteoftechnology', 'gucklab', 'independentsoftwareengineer', 'mongodb', 'usr-lab']","['@GuckLab ', '@actions', '@usr-lab ', 'Biomedicine Discovery Institute, Monash University', 'California Institute of Technology', 'Independent software engineer', 'MongoDB']",,2.13,46,25,119,0,23,7,23,46.0,134.0,90.0,2.9,0,52.88358
-636,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1201,504,32,Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2023-02-20,2019-08-31,181,6.614476789929189,"['python', 'syntax-highlighting']",2023-02-16,763,"['Anteru@amd', 'EricFromCanada', 'birkenfeld@fzjülich', 'blu-base', 'hoelzro', 'jaingaurav@google', 'jeanas', 'jrnold', 'roskakori', 'thatch']",3,10,"['amd', 'fzjülich', 'google']","['AMD', 'FZ Jülich', 'Google']",,5.46,171,101,42,0,3,17,3,171.0,181.0,90.0,1.1,0,49.91588
-725,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1201,28,14,Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2023-02-20,2021-03-28,99,12.079022988505747,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",2023-01-20,6,"['AdilZouitine@irtsaint-exupéry', 'anivegesana', 'gkorepanov@avatarify', 'olliethomas@universityofsussexairesearchgroup', 'patrick-kidger@googlex', 'teichert']",4,10,"['avatarify', 'googlex', 'irtsaint-exupéry', 'universityofsussexairesearchgroup']","['Avatarify', 'Google X', 'IRT Saint-Exupéry', 'University of Sussex AI Research Group']",,0.04,6,3,23,1,0,0,0,6.0,11.0,90.0,1.8,0,26.10474
-802,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1189,429,35,Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2023-02-21,2019-05-07,198,6.000720980533526,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",2023-02-17,184,"['Oberon00@dynatrace', 'aabmass@google', 'c24t@google', 'codeboten@lightstep', 'lzchen@microsoftcorporation', 'mauriciovasquezbernal@microsoft(kinvolk)', 'ocelotl', 'owais@splunk', 'srikanthccv@signoz.io', 'toumorokoshi@google']",7,10,"['dynatrace', 'google', 'lightstep', 'microsoft(kinvolk)', 'microsoftcorporation', 'signoz.io', 'splunk']","['@Dynatrace ', '@google', '@google ', '@microsoft (@kinvolk)', '@splunk', 'Google', 'Lightstep', 'Microsoft Corporation', 'signoz.io']",,4.88,209,121,46,0,10,13,10,209.0,360.0,90.0,1.7,0,52.5902
-647,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1187,240,59,Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2023-02-15,2011-06-03,611,1.9404483886034563,[],2023-02-09,111,"['FrancescAlted@francescalted', 'andreabedini@tweag', 'avalentino', 'eumiro', 'joshayers', 'keszybz@redhat', 'matham@cornelluniversity', 'oscargm98', 'scopatz', 'tomkooij@coornhertgymnasium']",5,10,"['coornhertgymnasium', 'cornelluniversity', 'francescalted', 'redhat', 'tweag']","['@FrancescAlted', '@tweag ', 'Coornhert Gymnasium', 'Cornell University', 'Red Hat']",,5.52,39,29,143,0,1,4,1,39.0,117.0,90.0,3.0,0,48.79921
-403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1183,101,26,Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2023-02-20,2018-08-19,235,5.024878640776699,"['async-await', 'trio', 'asyncio', 'curio']",2023-02-13,38,"['agronholm@nextdaysolutionsoy', 'belm0', 'daa', 'danielhasan1', 'graingert', 'gschaffner@andrewjayichlabucsb', 'jhominal', 'pre-commit-ci[bot]', 'smurfix@norisnetworkag', 'uSpike']",3,10,"['andrewjayichlabucsb', 'nextdaysolutionsoy', 'norisnetworkag']","['Andrew Jayich Lab @ UCSB', 'NextDay Solutions Oy', 'noris network AG']",,2.02,31,12,55,0,0,10,10,30.0,45.0,90.0,1.5,0,41.0117
-489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1178,337,55,Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2023-02-21,2012-08-03,550,2.1390402075226977,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",2023-02-02,118,"['QuLogic', 'ajdawson', 'bjlittle@metoffice', 'dopplershift@ucar/unidata', 'esc24', 'greglucas@lasp/lasp/swxtrec', 'pelson', 'rhattersley@metoffice', 'scmc72', 'stefraynaud@shom']",4,10,"['lasp/lasp/swxtrec', 'metoffice', 'shom', 'ucar/unidata']","['@MetOffice ', 'LASP / @lasp / @SWxTREC', 'Met Office', 'Shom', 'UCAR/@Unidata']",,1.17,48,28,128,0,3,4,3,48.0,109.0,90.0,2.3,0,46.73635
-494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1170,289,27,Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2023-02-21,2017-12-09,271,4.308258811152025,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",2021-12-12,1,['hysts'],0,10,[],[],,0.0,0,0,63,15,0,0,0,0.0,0.0,90.0,0.0,0,5.31559
-396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1166,52,23,Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2023-02-20,2018-11-22,221,5.255634256278172,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'web', 'framework', 'http-server']",2023-02-17,10,"['Klavionik', 'RobertoPrevato', 'YassineElbouchaibi', 'antipooh', 'dependabot[bot]', 'gitter-badger@gitter', 'jack-fireworkhq@loopsocial', 'myusko', 'q0w', 'skivis']",2,10,"['gitter', 'loopsocial']","['@loopsocial', 'Gitter']",,0.62,24,19,52,0,8,8,8,24.0,40.0,90.0,1.7,0,35.0036
-862,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1163,318,42,Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2023-02-14,2014-09-13,440,2.6397535667963683,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",2023-01-06,98,"['BertR', 'Carreau@quansight-labs', 'Lawrence37', 'brichet@quantstack', 'danielmaitre', 'jhamrick', 'lgpage', 'rkdarst@aaltouniversity', 'sigurdurb', 'willingc@willingconsulting']",4,10,"['aaltouniversity', 'quansight-labs', 'quantstack', 'willingconsulting']","['@Quansight-Labs', '@quantstack', 'Aalto University', 'Willing Consulting']",,3.92,67,18,103,2,7,3,7,67.0,97.0,90.0,1.4,0,44.37565
-16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1154,298,63,Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2023-02-15,2012-12-11,532,2.1685906040268454,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",2023-02-02,183,"['denik', 'edwardgeorge@apmøller—mærsk', 'geoffsalmon', 'hisbreathliness', 'jstasiak', 'rdw', 'tavisrudd@http://twitter.com/tavisrudd/', 'temoto', 'tipabu', 'whichlinden']",2,10,"['apmøller—mærsk', 'http://twitter.com/tavisrudd/']","['AP Møller — Mærsk', 'http://twitter.com/tavisrudd/']",,0.27,40,21,124,37,0,5,5,40.0,66.0,90.0,1.6,0,34.99646
-666,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,1149,115,42,Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2023-02-20,2022-03-30,47,24.4468085106383,"['evaluation', 'machine-learning']",2023-02-15,115,"['BramVanroy@lt3kuleuven', 'albertvillanova@huggingfaceaiinnova', 'lewtun@huggingface', 'lhoestq@huggingface', 'lvwerra@huggingface', 'mariosasko@huggingface', 'mathemakitten', 'patrickvonplaten', 'sashavor@huggingface', 'thomwolf@huggingface']",3,10,"['huggingface', 'huggingfaceaiinnova', 'lt3kuleuven']","['@huggingface', '@huggingface ', '@huggingface @Aiinnova', '@lt3 @kuleuven', 'Hugging Face', 'HuggingFace']",,7.79,87,43,11,0,8,9,8,87.0,177.0,90.0,2.0,0,44.01943
-817,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1145,100,30,Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2023-02-18,2018-11-28,221,5.180995475113122,[],2023-02-21,8,"['Burhan-Q', 'RichardScottOZ@ozminerals', 'cdhinrichs', 'charlesmartin14@calculationconsulting', 'pachevalier@etalab', 'reserena']",3,10,"['calculationconsulting', 'etalab', 'ozminerals']","['Calculation Consulting', 'Etalab', 'OZ Minerals']",,6.96,63,31,52,0,1,2,1,63.0,89.0,90.0,1.4,0,36.36122
-903,util,https://github.com/ossf/criticality_score,,,,ossf/criticality_score,criticality_score,1141,87,30,Go,,criticality_score: Gives criticality score for an open source project,ossf,2023-02-15,2020-11-17,118,9.657799274486095,[],2023-02-17,19,"['Yikun', 'azeemshaikh38', 'calebbrown', 'coni2k@forcrowd', 'dependabot[bot]', 'inferno-chromium@google', 'lehors@ibm', 'nathannaveen', 'nuthanmunaiah@rochesterinstituteoftechnology', 'oliverchang@google']",4,10,"['forcrowd', 'google', 'ibm', 'rochesterinstituteoftechnology']","['@Google', '@forCrowd', '@google ', 'IBM', 'Rochester Institute of Technology']",,2.38,91,61,28,0,0,2,2,90.0,64.0,90.0,0.7,0,36.69193
-545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1136,180,27,Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2023-02-20,2018-11-29,220,5.14359637774903,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",2022-05-29,21,"['CaesarQ@wohin', 'LaurentMnr95', 'ashutoshbsathe', 'benfei', 'feinsteinben', 'fra31', 'gwding@ecopiaai', 'msalihs', 'tarokiritani@exawizards', 'tracyjin']",3,10,"['ecopiaai', 'exawizards', 'wohin']","['Ecopia AI', 'Exawizards', 'Wohin Inc.']",,0.31,0,0,51,9,0,0,0,0.0,0.0,90.0,0.0,0,19.84477
-904,crypto,https://github.com/ofek/bit,,,,ofek/bit,bit,1128,188,48,Python,https://ofek.dev/bit/,Bitcoin made easy.,ofek,2023-02-19,2016-11-12,327,3.443523767989533,"['bitcoin', 'python', 'libraries', 'cryptocurrencies', 'payments']",2023-02-11,15,"['ChristianOConnor', 'EazyServer', 'GauthamramRavichandran', 'NateNate60', 'Qxe5', 'bjarnemagnussen', 'mgaitan', 'ofek@datadog', 'pedr0-fr', 'philsippl']",1,10,['datadog'],['@datadog'],,0.02,8,2,76,0,0,0,0,8.0,3.0,90.0,0.4,0,25.45365
-618,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1124,187,53,Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2023-02-20,2013-03-29,516,2.175283384019906,[],2023-02-06,53,"['The-Compiler@bruhinsoftware', 'amakhnach', 'asottile', 'bubenkoff', 'drothlis@stb-tester', 'olegpidsadnyi@fareharbor', 'pre-commit-ci[bot]', 'sambarluc@pix4d', 'sliwinski-milosz', 'youtux']",4,10,"['bruhinsoftware', 'fareharbor', 'pix4d', 'stb-tester']","['@FareHarbor', '@stb-tester', 'Bruhin Software', 'Pix4D']",,3.87,22,14,121,0,2,10,2,22.0,23.0,90.0,1.0,0,42.31413
-448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1112,290,81,Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2023-02-17,2013-02-19,522,2.1296853625170997,[],2023-01-28,77,"['TaylorOshan@geoda/asu', 'darribas', 'dfolch@northernarizonauniversity', 'jlaura@usgsastrogeology', 'ljwolf@geogbristol', 'mhwang4', 'nmalizia@telluslabs', 'pastephens', 'schmidtc', 'sjsrey@centerforopengeographicalscience']",6,10,"['centerforopengeographicalscience', 'geoda/asu', 'geogbristol', 'northernarizonauniversity', 'telluslabs', 'usgsastrogeology']","['@geogbristol ', '@telluslabs ', 'Center for Open Geographical Science', 'Geoda/ASU', 'Northern Arizona University', 'USGS Astrogeology']",,0.23,5,5,122,1,4,3,4,5.0,6.0,90.0,1.2,0,40.69243
-928,util,https://github.com/p0dalirius/coercer,,,,p0dalirius/coercer,Coercer,1109,120,18,Python,https://podalirius.net/,Coercer: A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.,p0dalirius,2023-02-20,2022-06-30,33,32.755274261603375,"['authentication', 'automatic', 'call', 'coerce', 'privilege-escalation', 'rpc', 'ntlm', 'fuzzing']",2023-01-18,4,"['exploide', 'jenaye@orange-cyberdefenseinshallhackcmepw', 'p0dalirius@podalirius', 'shoxxdj']",2,10,"['orange-cyberdefenseinshallhackcmepw', 'podalirius']","['@Orange-Cyberdefense @Inshallhack @CMEPW', 'Podalirius']",,1.5,36,29,8,1,9,14,9,36.0,14.0,90.0,0.4,0,25.4663
-651,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1109,37,14,C,,austin: Python frame stack sampler for CPython,p403n1x87,2023-02-21,2018-09-20,230,4.803836633663367,"['python', 'profiling', 'performance', 'debugging-tools']",2022-10-28,7,"['Mortal@madalgo', 'P403n1x87@datadog', 'hatboysam@habosaapps', 'ivoanjo@datadog', 'mitchblank', 'tonybaloney@microsoft', 'xmatthias']",4,10,"['datadog', 'habosaapps', 'madalgo', 'microsoft']","['@DataDog', '@Datadog', 'Habosa Apps', 'MADALGO', 'Microsoft']",,1.71,14,10,54,0,3,6,3,14.0,28.0,90.0,2.0,0,35.8312
-417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1108,159,21,Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2023-02-20,2018-03-04,259,4.270925110132159,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",2023-02-19,106,"['Zeroto521', 'dave-frazzetto', 'dsouzadaniel@pqdev', 'ericmjl', 'hectormz@amdi', 'jk3587', 'samukweku@datajanitor', 'szuckerman', 'thatlittleboy', 'zbarry@springdiscovery']",4,10,"['amdi', 'datajanitor', 'pqdev', 'springdiscovery']","['@pqdev', 'AMDI', 'Data Janitor', 'Spring Discovery']",,2.27,56,33,60,0,2,10,2,56.0,121.0,90.0,2.2,0,45.03108
-798,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1102,153,31,Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2023-02-17,2009-12-10,688,1.5997511406055578,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",2022-12-29,69,"['EelcoHoogendoorn@3dhubs', 'Theelx', 'aldanor', 'davvid@waltdisneyanimationstudios', 'hugovk@nordsoftware', 'jaraco@google', 'johnpaulett@equium-io', 'marcintustin', 'meatballhat@rstudio', 'parsons-kyle-89']",6,10,"['3dhubs', 'equium-io', 'google', 'nordsoftware', 'rstudio', 'waltdisneyanimationstudios']","['3dhubs', '@equium-io', '@rstudio', 'Google', 'Nord Software', 'Walt Disney Animation Studios']",,2.08,26,23,161,2,0,3,3,26.0,44.0,90.0,1.7,0,43.42882
-512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1101,83,16,Python,,typeguard: Run-time type checker for Python,agronholm,2023-02-13,2015-12-27,373,2.948355011476664,[],2023-02-12,25,"['EPronovost', 'agronholm@nextdaysolutionsoy', 'andyljones@anthropic', 'cjolowicz@cloudflare', 'pre-commit-ci[bot]', 'prescod@salesforce.org', 'reinhrst', 'rfrowe@indeed', 'supersergiy', 'wbolster']",5,10,"['anthropic', 'cloudflare', 'indeed', 'nextdaysolutionsoy', 'salesforce.org']","['@cloudflare', 'Anthropic', 'Indeed', 'NextDay Solutions Oy', 'Salesforce.org']",,1.67,54,44,87,0,0,6,6,54.0,188.0,90.0,3.5,0,45.69895
-619,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1099,118,34,Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2023-02-19,2015-04-11,410,2.676757132915797,[],2023-02-14,41,"['Tadaboody', 'Tinche@pocketzworld', 'agronholm@nextdaysolutionsoy', 'alblasco', 'asvetlov@neu.ro', 'dependabot[bot]', 'nicoddemus@esss', 'sashgorokhov@epam', 'seifertm', 'simonfagerholm']",5,10,"['epam', 'esss', 'neu.ro', 'nextdaysolutionsoy', 'pocketzworld']","['@epam', '@pocketzworld ', 'ESSS', 'Neu.ro', 'NextDay Solutions Oy']",,2.73,64,54,96,0,7,5,7,64.0,51.0,90.0,0.8,0,44.43623
-726,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1099,21,17,C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2023-02-19,2022-07-16,31,34.80995475113122,[],2022-08-31,6,"['BeeMoe5', 'Omyyyy', 'ikkebr@universityofcalgary', 'marcelpetrick@marcelpetrick.it', 'phodge-clipchamp']",2,10,"['marcelpetrick.it', 'universityofcalgary']","['University of Calgary', 'marcelpetrick.it']",,1.71,0,0,7,6,1,2,1,0.0,0.0,90.0,0.0,0,14.02804
-239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1097,84,18,Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2023-02-19,2018-07-14,240,4.559976247030879,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",2022-12-10,27,"['adamwolf', 'amjith', 'davidleejy@nationaluniversityofsingapore', 'dbready', 'eyeseast@usatodaynetwork', 'meatcar', 'mfa@axsemantics', 'simonw@datasette', 'simonwiles@stanforduniversity', 'tsibley']",5,10,"['axsemantics', 'datasette', 'nationaluniversityofsingapore', 'stanforduniversity', 'usatodaynetwork']","['@axsemantics ', 'Datasette', 'National University of Singapore', 'Stanford University', 'USA TODAY Network']",,2.52,21,4,56,2,8,25,8,21.0,30.0,90.0,1.4,0,38.24485
-609,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1095,192,47,Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2023-02-21,2015-09-01,390,2.8066642255584036,"['hacktoberfest', 'pytest', 'pytest-plugin']",2023-02-14,89,"['RonnyPfannschmidt@redhatinsights', 'bluetech', 'blueyed@freelancer,upforhire', 'bubenkoff', 'flub', 'hpk42@merlinux', 'hugovk@nordsoftware', 'nicoddemus@esss', 'pre-commit-ci[bot]', 'wronglink']",5,10,"['esss', 'freelancer,upforhire', 'merlinux', 'nordsoftware', 'redhatinsights']","['@RedHatInsights ', 'ESSS', 'Freelancer, up for hire', 'Nord Software', 'merlinux']",,1.25,49,32,91,0,0,8,8,49.0,136.0,90.0,2.8,0,48.39789
-771,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1095,79,32,C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2023-02-16,2020-03-30,151,7.237960339943343,[],2023-02-14,10,"['QrczakMK@google', 'ckennelly', 'cpgaffney1', 'cushon', 'hectorgon', 'jbms', 'laramiel', 'mkruskal-google@protocolbuffers', 'yilei']",2,10,"['google', 'protocolbuffers']","['@google', '@protocolbuffers']",,5.73,24,13,35,0,0,11,11,24.0,125.0,90.0,5.2,0,40.27443
-772,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,1091,112,16,Python,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2023-02-20,2022-06-30,33,32.22362869198312,"['few-shot-learning', 'nlp', 'sentence-transformers']",2023-02-14,35,"['LuketheDukeBates', 'PhilipMay@telekom', 'blakechi', 'danielkorat@nervanasystems', 'eunseojo', 'fgbelidji@huggingface', 'lewtun@huggingface', 'mpangrazzi@wonderflow-bv', 'pdhall99', 'tomaarsen@argilla']",5,10,"['argilla', 'huggingface', 'nervanasystems', 'telekom', 'wonderflow-bv']","['@NervanaSystems ', '@huggingface', '@telekom', '@wonderflow-bv ', 'Argilla', 'Hugging Face']",,6.02,173,107,8,0,8,15,8,173.0,436.0,90.0,2.5,0,43.43285
-656,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1089,71,40,Python,,httptools: Fast HTTP parser,magicstack,2023-02-20,2016-04-25,356,3.0565356856455494,[],2022-09-13,13,"['1st1@edgedb', 'SethMichaelLarson', 'b0g3r@semrush', 'belm0', 'elprans@edgedb', 'fantix@edgedb', 'samuelcolvin@pydantic', 'trollfot', 'yohanboniface@enix', 'youknowone@youknowone.org']",5,10,"['edgedb', 'enix', 'pydantic', 'semrush', 'youknowone.org']","['@edgedb', '@pydantic', '@semrush', 'EdgeDB Inc.', 'Enix', 'youknowone.org']",,0.06,0,0,83,5,2,2,2,0.0,0.0,90.0,0.0,0,24.61524
-627,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1088,218,44,Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2023-02-21,2015-12-15,375,2.9002284843869,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",2023-02-20,83,"['Carreau@quansight-labs', 'DimitriPapadopoulos@cea', 'alimanfoo@weomesangerinstitute', 'andrewfulton9@quansight', 'dependabot[bot]', 'grlee77@nvidia', 'jakirkham', 'joshmoore@openmicroscopy', 'jrbourbeau@coiled', 'mzjp2@mavensecurities']",8,10,"['cea', 'coiled', 'mavensecurities', 'nvidia', 'openmicroscopy', 'quansight', 'quansight-labs', 'weomesangerinstitute']","['@Quansight-Labs', '@coiled ', '@openmicroscopy', 'CEA', 'Maven Securities', 'NVIDIA', 'Quansight', 'Wellcome Sanger Institute']",,3.67,123,70,88,0,17,11,17,124.0,324.0,90.0,2.6,0,53.52288
-626,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1084,266,96,Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2023-02-20,2011-01-24,630,1.7198549410698096,[],2022-10-18,93,"['GaelVaroquaux', 'amalss18@carnegiemellonuniversity', 'dmsurti', 'itziakos@enthought', 'kitchoi', 'larsoner@universityofwashington', 'prabhuramachandran@iitbombay', 'rahulporuri@enthought', 'stefanoborini@astrazenecauk', 'tkoyama010@ark-info-sys']",6,10,"['ark-info-sys', 'astrazenecauk', 'carnegiemellonuniversity', 'enthought', 'iitbombay', 'universityofwashington']","['@ark-info-sys', '@enthought ', 'AstraZeneca UK', 'Carnegie Mellon University', 'IIT Bombay', 'University of Washington']",,0.96,28,5,147,4,0,3,3,28.0,37.0,90.0,1.3,0,40.63198
-654,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1074,58,13,Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2023-02-21,2009-10-07,698,1.5386819484240688,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",2022-11-25,28,"['Suhail-MOHD@nutanix', 'ajdavis@mongodb', 'alioguzhan@telostat', 'dependabot[bot]', 'devxpy@dara.network', 'frohoff', 'gaborbernat@bloomberglp', 'nirs@ibm', 'orivej', 'sumerc']",6,10,"['bloomberglp', 'dara.network', 'ibm', 'mongodb', 'nutanix', 'telostat']","['@mongodb ', '@telostat', 'Bloomberg LP', 'IBM', 'Nutanix', 'dara.network']",,0.65,9,5,163,3,2,0,2,9.0,7.0,90.0,0.8,0,35.34861
-580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1072,119,10,Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2023-02-21,2018-04-21,252,4.244343891402715,"['dataclasses', 'json', 'python']",2022-08-14,46,"['FaraSeer@yadro', 'Glandos', 'HappyTreeBeard', 'RunOrVeith', 'USSX-Hares', 'askogvold@microsoft', 'fabaff', 'lidatong', 'r-richmond', 'rakanalh']",2,10,"['microsoft', 'yadro']","['@yadro', 'Microsoft']",,0.12,23,1,59,6,1,14,1,23.0,15.0,90.0,0.7,0,27.65179
-191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1068,182,23,Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2023-02-21,2020-03-03,155,6.883977900552487,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",2022-11-18,25,"['VoVAllen@tensorchord', 'aksnzhy', 'amazon-auto@amazon', 'classicsong@amazon', 'daikikatsuragawa@japan', 'menjarleev', 'ryantd@kwai', 'sublimotion', 'zby123', 'zheng-da@aws']",5,10,"['amazon', 'aws', 'japan', 'kwai', 'tensorchord']","['@kwai', '@tensorchord ', 'AWS', 'Amazon', 'Japan']",,0.06,7,2,36,3,0,1,1,7.0,6.0,90.0,0.9,0,29.5034
-212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,1063,77,24,Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2023-02-21,2021-01-13,110,9.663636363636364,"['rust', 'python', 'database', 'sql', 'dataframe']",2023-02-10,30,"['Wukkkinz-0725', 'Yizhou150', 'alswang18', 'auyer@estrategiaeducacional', 'dovahcrow@sfu-db', 'gruuya@splitgraph', 'jinzew', 'lBilali', 'wangxiaoying@sfu-db', 'wseaton@redhatofficial']",4,10,"['estrategiaeducacional', 'redhatofficial', 'sfu-db', 'splitgraph']","['@RedHatOfficial', '@sfu-db ', 'Estrategia Educacional', 'Splitgraph']",,5.58,57,12,26,0,4,3,4,57.0,85.0,90.0,1.5,0,40.01235
-449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1050,91,35,Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2023-02-18,2016-06-29,347,3.025936599423631,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",2022-03-18,5,"['QuLogic', 'ResidentMario', 'akarve@quiltdata', 'lmmarsano', 'martinfleis']",1,10,['quiltdata'],['@QuiltData'],,0.21,3,0,81,11,2,3,2,3.0,0.0,90.0,0.0,0,16.30778
-447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,1045,97,24,Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2023-02-21,2019-07-04,189,5.504138449962378,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",2023-02-12,15,"['OmerRonen', 'aagarwal1996', 'bachsh@authomize', 'csinva@seniorresearcher', 'keyan3@berkeleyairesearchlab', 'mepland', 'sms1097', 'thewchan', 'tiffanymtang@universityofcalifornia,berkeley', 'yanshuotan']",4,10,"['authomize', 'berkeleyairesearchlab', 'seniorresearcher', 'universityofcalifornia,berkeley']","['@authomize ', 'Berkeley AI Research Lab', 'Senior researcher', 'University of California, Berkeley']",,2.81,26,20,44,0,10,8,10,26.0,55.0,90.0,2.1,0,40.63103
-644,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1030,69,26,Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2023-02-20,2017-06-12,297,3.4646804420951467,"['python', 'logging', 'logzero', 'logfiles']",2021-03-17,12,"['SitiSchu@mojurasu', 'carlodri', 'christianscott@canva', 'davidhuser@baosystems', 'delirious-lettuce', 'dmartin35', 'lumbric', 'metachris@flashbots', 'pyup-bot@pyupio', 'sebix@instituteforcommongoodtechnology']",6,10,"['baosystems', 'canva', 'flashbots', 'instituteforcommongoodtechnology', 'mojurasu', 'pyupio']","['@Canva', '@Mojurasu ', '@baosystems', '@pyupio', 'Flashbots', 'Institute for Common Good Technology']",,0.0,5,3,69,24,0,3,3,5.0,2.0,90.0,0.4,0,25.25546
-444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,1017,196,48,Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2023-02-18,2011-12-31,581,1.7487103905674282,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",2023-02-10,66,"['QuLogic', 'geowurster', 'lordi', 'micahcochran', 'mwtoews@gnsscience', 'perrygeo', 'rbuffat', 'sgillies@planetlabs', 'snorfalorpagus', 'snowman2@corteva']",3,10,"['corteva', 'gnsscience', 'planetlabs']","['@corteva ', '@planetlabs', 'GNS Science']",,1.56,110,89,136,0,8,10,8,110.0,126.0,90.0,1.1,0,45.21246
-950,web,https://github.com/awtkns/fastapi-crudrouter,,,,awtkns/fastapi-crudrouter,fastapi-crudrouter,1017,121,12,Python,https://fastapi-crudrouter.awtkns.com,fastapi-crudrouter: A dynamic FastAPI router that automatically creates CRUD routes for your models,awtkns,2023-02-21,2020-12-19,113,8.954716981132075,"['fastapi', 'code-generation', 'crud', 'api', 'swagger-ui', 'redoc', 'fastapi-crudrouter', 'crud-routes', 'rest', 'web', 'python', 'python3', 'sql', 'framework', 'async', 'asyncio', 'openapi-route', 'openapi']",2023-01-28,21,"['DorskFR', 'agallant', 'andreipopovici', 'andrewthetechie', 'awtkns@article', 'collerek@kaizentech', 'dclimber', 'jm-moreau@anjuna', 'sondrelg@otovosnok', 'turalpb']",4,10,"['anjuna', 'article', 'kaizentech', 'otovosnok']","['@otovo @snok', 'Anjuna', 'Article', 'KaizenTech']",,0.75,19,7,26,1,1,4,1,19.0,21.0,90.0,1.1,0,31.66345
-707,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,1015,93,254,Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2023-02-21,2018-01-31,264,3.8446969696969697,[],2021-01-05,4,"['ReblochonMasque', 'brandon-rhodes', 'donkirkby@bccentreforexcellenceinhiv/aids', 'ethmcc']",1,10,['bccentreforexcellenceinhiv/aids'],['BC Centre for Excellence in HIV/AIDS'],,0.0,0,0,62,26,0,0,0,0.0,0.0,90.0,0.0,0,9.92539
-406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,1009,82,10,Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2023-02-21,2012-10-04,541,1.8621144213023992,[],2022-07-24,29,"['Pankrat@ableton', 'benjyw@toolchain', 'cjwatson', 'deemoowoor@finceptiv', 'dsuch@zatosource', 'gbtami', 'jwilk', 'mrJean1', 'thedrow', 'tirkarthi@visa']",5,10,"['ableton', 'finceptiv', 'toolchain', 'visa', 'zatosource']","['@finceptiv ', '@zatosource', 'Ableton', 'Toolchain', 'Visa Inc.']",,0.08,4,1,126,7,0,2,2,4.0,5.0,90.0,1.2,0,31.87793
-728,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,1006,260,64,Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2023-02-20,2014-03-04,468,2.1489166920964298,[],2023-02-02,42,"['GeospatialPython@geospatialpython.com', 'ignamv', 'jmoujaes', 'karimbahgat', 'megies', 'micahcochran', 'mwtoews@gnsscience', 'pemn@valesa', 'riggsd@nationalparkservice', 'sebastic']",4,10,"['geospatialpython.com', 'gnsscience', 'nationalparkservice', 'valesa']","['@nationalparkservice ', 'GNS Science', 'GeospatialPython.com', 'Vale SA']",,0.37,4,0,109,1,2,2,2,4.0,5.0,90.0,1.2,0,35.0712
-598,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,1002,113,22,Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2023-02-19,2020-01-07,163,6.141856392294221,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",2021-03-15,5,"['agrimrules@litesgroup', 'calio', 'danilopeixoto@delltechnologies', 'jimjag', 'rongou@nvidia']",3,10,"['delltechnologies', 'litesgroup', 'nvidia']","['@LitesGroup ', '@NVIDIA', 'Dell Technologies']",,0.0,3,0,38,24,0,1,1,3.0,2.0,90.0,0.7,0,17.28826
-614,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,997,68,17,Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2023-02-16,2013-06-25,504,1.9776140549730803,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",2022-12-11,45,"['GuillaumeFavelier@inria', 'Teemu@wolt', 'blueyed@freelancer,upforhire', 'emlove@homechef', 'graingert', 'jpvanhal@falcony-io', 'justinmayer', 'msabramo@adobe', 'or', 'thedrow']",6,10,"['adobe', 'falcony-io', 'freelancer,upforhire', 'homechef', 'inria', 'wolt']","['@adobe', '@falcony-io', '@homechef', 'Freelancer, up for hire', 'INRIA', 'Wolt']",,0.81,8,4,118,2,0,1,1,8.0,18.0,90.0,2.2,0,38.96457
-739,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,995,42,21,Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2023-02-19,2019-02-09,210,4.725237449118046,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",2022-11-16,10,"['bakera81', 'breichholf', 'dependabot[bot]', 'isabelizimm@rstudio', 'ismayc@flatiron-school', 'kianmeng', 'kirillseva', 'machow@rstudio', 'sethvargo@google', 'tmastny']",3,10,"['flatiron-school', 'google', 'rstudio']","['@Google', '@flatiron-school', '@rstudio']",,2.79,12,2,49,3,10,9,10,12.0,20.0,90.0,1.7,0,32.915
-740,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,974,101,19,Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2023-02-19,2019-01-21,213,4.566644340254521,"['scikit-learn', 'machine-learning', 'common-sense']",2022-12-21,56,"['Garve', 'MBrouns@xcceleratedpydataamsterdam', 'Pverheijen@hollandstartup', 'arthurpaulino@yatimainc', 'daimonie', 'koaning@explosion', 'ktiamur', 'maxibor@maxplanckinstituteforevolutionaryanthropology', 'pim-hoeven', 'stephanecollot@m-gate']",6,10,"['explosion', 'hollandstartup', 'm-gate', 'maxplanckinstituteforevolutionaryanthropology', 'xcceleratedpydataamsterdam', 'yatimainc']","['@Xccelerated @PyDataAmsterdam ', '@explosion', 'Holland Startup', 'M-GaTE', 'Max Planck institute for Evolutionary Anthropology', 'Yatima Inc']",,0.5,8,4,50,2,5,8,5,8.0,32.0,90.0,4.0,0,41.01292
-631,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,972,135,28,Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2023-02-20,2013-05-11,510,1.9037493005036374,['python'],2023-02-18,31,"['alex', 'bsoyka', 'chris-erickson', 'dependabot[bot]', 'dstufft@datadog', 'jazzyb', 'jdufresne@pioneervalleybooks', 'odidev@puresoftware', 'reaperhulk', 'webknjaz@ansiblecoreredhatofficial']",4,10,"['ansiblecoreredhatofficial', 'datadog', 'pioneervalleybooks', 'puresoftware']","['@Ansible Core @ @RedHatOfficial', '@DataDog', 'Pioneer Valley Books', 'Puresoftware']",,3.31,56,56,119,0,0,2,2,56.0,21.0,90.0,0.4,0,40.6756
-482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,971,280,48,Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2023-02-20,2018-05-31,246,3.933449074074074,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",2023-01-24,50,"['AleksMat@google', 'andrejburja', 'batic@sinergise', 'devisperessutti@sinergisesentinel-hub', 'iovsn', 'lojzezust', 'mlubej@eoresearchteamsinergise', 'tomislijepcevic', 'wouellette@https://soilwatch.eu', 'zigaLuksic@sinergise']",5,10,"['eoresearchteamsinergise', 'google', 'https://soilwatch.eu', 'sinergise', 'sinergisesentinel-hub']","['@sinergise ', '@sinergise @sentinel-hub ', 'EO Research Team @ Sinergise', 'Google', 'Sinergise', 'https://soilwatch.eu']",,3.96,70,61,58,1,10,8,10,70.0,60.0,90.0,0.9,0,43.4794
-379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,966,85,17,Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2023-02-20,2020-05-27,143,6.755244755244755,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",2023-01-14,7,"['Voyz', 'cdpierse@quantcopy', 'cwenner@mavenoid;omnimodular', 'dependabot[bot]', 'lalitpagaria@oraikatechnologies', 'pabvald@dfki/universitätdessaarlandes', 'rinapch@exhuman-ai']",5,10,"['dfki/universitätdessaarlandes', 'exhuman-ai', 'mavenoid;omnimodular', 'oraikatechnologies', 'quantcopy']","['@exhuman-ai ', '@quantcopy', 'DFKI / Universität des Saarlandes', 'Mavenoid; OmniModular', 'Oraika Technologies']",,0.85,10,1,33,1,4,4,4,10.0,16.0,90.0,1.6,0,31.59486
-271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,962,257,33,Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2023-02-19,2018-08-24,234,4.098600121728546,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",2022-10-26,14,"['EmperorMew@snowcone', 'gkrasulya', 'glints', 'hmallen', 'man-c', 'mfiro', 'nejcb1', 'scrambldchannel', 'trevisanj', 'tsifrer']",1,10,['snowcone'],['Snowcone '],,0.29,3,2,55,4,0,4,4,3.0,3.0,90.0,1.0,0,24.77178
-980,ml,https://github.com/google/vizier,,,,google/vizier,vizier,949,44,20,Python,https://oss-vizier.readthedocs.io,"vizier: Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.",google,2023-02-21,2022-02-16,53,17.90566037735849,"['vizier', 'hyperparameter-optimization', 'tuning', 'tuning-parameters', 'blackbox-optimization', 'hyperparameter-tuning', 'bayesian-optimization', 'evolutionary-algorithms', 'distributed-systems', 'distributed-computing', 'grpc', 'open-source', 'google', 'algorithm', 'deep-learning', 'machine-learning', 'optimization']",2023-02-16,15,"['Ark-kun@google', 'SetarehAr@northeasternuniversity', 'belenkil', 'chansoo-google', 'daiyip', 'emilyfertig', 'qiuyiz@google', 'rchen152', 'sagipe', 'xingyousong@googlebrain']",3,10,"['google', 'googlebrain', 'northeasternuniversity']","['@google', 'Google', 'Google Brain', 'Northeastern University']",,8.88,187,173,12,0,19,20,19,187.0,42.0,90.0,0.2,0,37.95323
-820,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,949,202,21,JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2023-02-19,2018-09-21,230,4.113312693498452,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",2023-02-17,29,"['AnnMarieW@nostarchpress-thebookofdash', 'acroz@facultyai', 'ann-marie-ward', 'dependabot[bot]', 'glsdown', 'pbugnion@facultyai', 'romainmartinez@universitédemontréal', 'shwinnn', 'srstevenson', 'tcbegley@facebook']",4,10,"['facebook', 'facultyai', 'nostarchpress-thebookofdash', 'universitédemontréal']","['@facebook', '@facultyai', '@facultyai ', 'No Starch Press - The Book of Dash', 'Université de Montréal']",,1.52,56,52,54,0,15,33,15,56.0,33.0,90.0,0.6,0,41.17363
-236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,945,194,46,Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2023-02-21,2020-07-02,137,6.8549222797927465,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",2022-05-09,8,"['NoSoyTuMadre@capgemini&threescoopstransport', 'alextrott16', 'dependabot[bot]', 'sunil-s@salesforceresearch', 'svc-scm', 'tljstewart@apple']",3,10,"['apple', 'capgemini&threescoopstransport', 'salesforceresearch']","['Apple Inc.', 'Capgemini & Three Scoops Transport, LLC', 'Salesforce Research']",,0.12,2,0,32,10,0,0,0,2.0,0.0,90.0,0.0,0,16.51814
-402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,945,38,15,Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2023-02-21,2022-01-04,59,15.978260869565217,"['python', 'async', 'asyncio', 'trio', 'anyio']",2023-02-21,10,"['JonasKs@snok,intility', 'Kludex@encode', 'dependabot[bot]', 'michaeloliverx@resgroup', 'pre-commit-ci[bot]', 'sanders41@ethyca', 'tiangolo', 'vrslev', 'windson']",4,10,"['encode', 'ethyca', 'resgroup', 'snok,intility']","['@encode', '@ethyca', '@resgroup', '@snok, @intility']",,1.19,14,8,14,0,1,2,1,14.0,24.0,90.0,1.7,0,31.33805
-633,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,944,219,27,C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2023-02-15,2013-02-22,521,1.809419496166484,"['cryptography', 'libsodium', 'nacl', 'python']",2023-01-19,64,"['Ayrx', 'DMRobertson@vector-im', 'JackWink', 'alex', 'davidfischer', 'dependabot[bot]', 'dstufft@datadog', 'lmctv', 'reaperhulk', 'warner']",2,10,"['datadog', 'vector-im']","['@DataDog', '@vector-im']",,0.37,13,10,122,1,0,2,2,13.0,10.0,90.0,0.8,0,35.45584
-962,util,https://github.com/fabiocaccamo/python-benedict,,,,fabiocaccamo/python-benedict,python-benedict,940,41,12,Python,,"python-benedict: :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.",fabiocaccamo,2023-02-21,2019-05-17,196,4.7785039941902685,"['python', 'dict', 'dictionary', 'keypath', 'base64', 'csv', 'json', 'pickle', 'plist', 'query-string', 'toml', 'xml', 'yaml', 'encode', 'decode', 'filter', 'flatten', 'subset', 'traverse', 'xls']",2023-02-21,5,"['dependabot[bot]', 'fabiocaccamo@blackfoundry', 'github-actions[bot]', ""neutrinoceros@institutdeplanétologieetd'astrophysiquedegrenoble(ipag)"", 'pre-commit-ci[bot]']",2,10,"['blackfoundry', ""institutdeplanétologieetd'astrophysiquedegrenoble(ipag)""]","['Black Foundry', ""Institut de Planétologie et d'Astrophysique de Grenoble (IPAG)""]",,3.88,111,107,46,0,11,14,11,111.0,110.0,90.0,1.0,0,36.35259
-541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,937,137,9,Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2023-02-21,2019-01-02,216,4.337962962962963,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",2022-12-21,58,"['BurntSushi@salesforce', 'Hibou57', 'aomader', 'cortesi', 'dhimmel@related-sciences', 'jvantuyl', 'kchmck', 'kernc', 'knadh@zerodha', 'mhils']",3,10,"['related-sciences', 'salesforce', 'zerodha']","['@related-sciences', '@salesforce', 'Zerodha']",,0.1,9,3,50,2,0,12,12,9.0,6.0,90.0,0.7,0,34.55542
-935,nlp,https://github.com/jonasgeiping/cramming,,,,jonasgeiping/cramming,cramming,935,60,18,Python,,Cramming the training of a (BERT-type) language model into limited compute.,jonasgeiping,2023-02-21,2022-12-29,7,119.0,"['english-language', 'language-model', 'machine-learning']",2023-02-19,3,"['JonasGeiping@computerscienceatumd', 'ss18@kpn', 'w32zhong']",2,10,"['computerscienceatumd', 'kpn']","['@kpn', 'Computer Science at UMD']",,0.5,12,10,2,0,0,0,0,12.0,33.0,90.0,2.8,0,21.69742
-504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,928,168,38,Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2023-02-18,2018-12-16,218,4.248528449967299,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",2023-02-16,30,"['JaviBecerra@panoimagen', 'Robinlovelace@universityofleeds', 'anitagraser', 'astrojuanlu@kedro-org', 'boiko', 'giorgostheo', 'gprichter', 'parnelandr', 'raybellwaves@dtn', 'sglvladi@universityofliverpool']",5,10,"['dtn', 'kedro-org', 'panoimagen', 'universityofleeds', 'universityofliverpool']","['@PANOimagen ', '@kedro-org', 'DTN', 'University of Leeds', 'University of Liverpool']",,2.13,35,23,51,0,6,3,6,35.0,49.0,90.0,1.4,0,41.7708
-468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,925,133,41,Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2023-02-20,2021-07-20,83,11.125429553264604,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",2023-02-21,52,"['JingyaHuang@huggingface', 'echarlaix@huggingface', 'fxmarty@huggingface', 'lewtun@huggingface', 'madlag', 'mfuntowicz@huggingface', 'mht-sharma', 'michaelbenayoun@huggingface', 'regisss', 'younesbelkada@ensparissaclay']",2,10,"['ensparissaclay', 'huggingface']","['@huggingface', '@huggingface ', 'ENS Paris Saclay', 'Hugging Face']",,8.19,340,262,19,0,18,15,18,342.0,947.0,90.0,2.8,0,46.27999
-251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,923,90,31,Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2023-02-16,2020-06-15,140,6.579429735234216,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",2023-01-16,23,"['DominikSchmidtqq@google', 'abhisharsinha@indianinstituteoftechnologyhyderabad', 'adammichaelwood@google', 'dependabot[bot]', 'ebursztein@google', 'hanneshapke@digits', 'jamlong@google', 'owenvallis@google', 'shun-lin@google', 'yonigottesman']",3,10,"['digits', 'google', 'indianinstituteoftechnologyhyderabad']","['@digits ', '@google', '@google ', 'Google', 'Indian Institute of Technology Hyderabad']",,0.71,17,10,33,1,1,1,1,17.0,33.0,90.0,1.9,0,32.85191
-387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,919,148,17,Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2023-02-19,2014-06-18,453,2.0286975717439293,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",2022-07-08,46,"['GuillemGSubies', 'LKirst', 'MKaras93', 'alonsoC1s', 'alxwrd@tessian', 'cclauss@christianclauss', 'hugovk@nordsoftware', 'lukaschoebel', 'massvoice', 'shivam5992']",3,10,"['christianclauss', 'nordsoftware', 'tessian']","['@Tessian', 'Christian Clauss', 'Nord Software']",,0.1,1,0,106,8,1,2,1,1.0,2.0,90.0,2.0,0,30.05037
-750,data,https://github.com/pytorch/data,,,,pytorch/data,data,916,111,26,Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2023-02-18,2021-05-12,93,9.849462365591398,[],2023-02-17,66,"['DanilBaibak', 'NivekT', 'VitalyFedyunin', 'dahsh', 'ejguan@facebook', 'gaikwadabhishek', 'msaroufim@pytorch', 'ninginthecloud@universityofwashington/facebook', 'pmeier@quansight', 'ydaiming']",4,10,"['facebook', 'pytorch', 'quansight', 'universityofwashington/facebook']","['@PyTorch', '@Quansight ', '@facebook', 'University of Washington/ Facebook']",,6.37,183,134,22,0,5,7,5,183.0,505.0,90.0,2.8,0,46.45688
-219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,914,92,6,Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2023-02-20,2020-04-15,149,6.134228187919463,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",2022-05-18,13,"['ChenghaoMou@docusign', 'Dectinc@evision', 'N720720', 'TezRomacH', 'abassel', 'dependabot-preview[bot]', 'dependabot[bot]', 'hexfaker', 'pksol', 'volemont']",2,10,"['docusign', 'evision']","['Docusign', 'eVision']",,0.02,108,75,35,9,0,8,8,108.0,77.0,90.0,0.7,0,28.26058
-88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,909,182,28,Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2023-02-20,2017-11-01,277,3.2815884476534296,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",2023-02-16,57,"['Birne94@zalando', 'WhileLoop@opensourceart', 'benhowes', 'bitdivision', 'cetanu@atlassian', 'dependabot[bot]', 'imkaka@yellowmessengerprev-vogolabs', 'mbfr@forgerock', 'michaelboulton', 'tommilligan@reinfer,acquiredbyuipath']",6,10,"['atlassian', 'forgerock', 'opensourceart', 'reinfer,acquiredbyuipath', 'yellowmessengerprev-vogolabs', 'zalando']","['@Atlassian', '@OpenSourceArt', '@Zalando', '@reinfer, acquired by @UiPath', '@yellowmessenger Prev - @vogolabs', 'Forgerock']",,1.63,46,38,65,0,0,37,37,46.0,41.0,90.0,0.9,0,46.48366
-622,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,906,67,23,Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2023-02-21,2014-04-04,463,1.9537892791127542,[],2022-12-19,20,"['cpcloud@voltrondata', 'dependabot[bot]', 'eriknw', 'groutr@lynkertechnologies', 'hmaarrfk@californiainstituteoftechnology', 'jcrist@voltrondata', 'larsmans', 'llllllllll@formerlyquantopian', 'mrocklin@coiled', 'pitrou']",5,10,"['californiainstituteoftechnology', 'coiled', 'formerlyquantopian', 'lynkertechnologies', 'voltrondata']","['@coiled ', '@voltrondata', 'California Institute of Technology', 'Lynker Technologies', 'formerly @quantopian']",,0.56,9,7,108,2,2,2,2,9.0,11.0,90.0,1.2,0,35.10481
-891,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,905,14,8,Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2023-02-20,2022-10-07,19,45.905797101449274,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",2023-01-27,1,['xl0'],0,10,[],[],,1.88,12,11,5,1,0,41,41,12.0,70.0,90.0,5.8,0,23.915
-672,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,899,21,83,,,faster-cpython: How to make CPython faster.,markshannon,2023-02-20,2020-10-19,122,7.3516355140186915,[],2020-10-28,4,"['brettcannon@microsoft', 'ericvsmith', 'markshannon', 'yasoob@colgateuniversity']",2,10,"['colgateuniversity', 'microsoft']","['@microsoft ', 'Colgate University']",,0.0,0,0,28,28,0,0,0,0.0,0.0,90.0,0.0,0,9.83617
-204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,899,31,17,Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2023-02-20,2019-05-13,197,4.556842867487328,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",2022-12-22,22,"['alexbers', 'alexmojaki', 'bittner@painless-software', 'cool-RR', 'czietz', 'danr@pharmbio', 'gpshead@google', 'marksmayo@teremtech', 'pohmelie@aratar.tech', 'volpatto@esss']",6,10,"['aratar.tech', 'esss', 'google', 'painless-software', 'pharmbio', 'teremtech']","['@ESSS', '@TeremTech ', '@painless-software ', '@pharmbio ', 'Google', 'aratar.tech']",,0.17,11,3,46,2,0,1,1,11.0,18.0,90.0,1.6,0,33.19135
-630,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,896,260,31,Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2023-02-20,2016-02-09,367,2.440466926070039,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",2023-02-21,135,"['adybbroe@smhi', 'ameraner@eumetsat', 'djhoese@spacescienceandengineeringcenter(ssec)', 'gerritholl@deutscherwetterdienst', 'joleenf@cooperativeinstituteformeteorologicalsatellitestudies/spacescienceandengineeringcenter', 'mraspaud@smhi', 'pnuu', 'sfinkens@dwd', 'simonrp84@nationalcentreforearthobservation', 'strandgren']",7,10,"['cooperativeinstituteformeteorologicalsatellitestudies/spacescienceandengineeringcenter', 'deutscherwetterdienst', 'dwd', 'eumetsat', 'nationalcentreforearthobservation', 'smhi', 'spacescienceandengineeringcenter(ssec)']","['Cooperative Institute for Meteorological Satellite Studies/Space Science and Engineering Center', 'DWD', 'Deutscher Wetterdienst', 'EUMETSAT', 'National Centre for Earth Observation', 'SMHI', 'Space Science and Engineering Center (@ssec)']",,22.65,160,117,86,0,7,11,7,160.0,646.0,90.0,4.0,0,57.4605
-700,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,892,145,26,Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2023-02-20,2018-08-07,237,3.76144578313253,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",2023-02-16,66,"['Alexander-Makaryev', 'Alexsandruss@intel', 'OnlyDeniko', 'Pahandrovich', 'PetrovKP@intel', 'fschlimb@intel', 'napetrov@intel', 'oleksandr-pavlyk@intelcorporation', 'owerbat', 'renovate[bot]']",2,10,"['intel', 'intelcorporation']","['@intel', '@intel ', 'Intel', 'Intel Corporation']",,1.87,204,172,55,0,2,5,2,204.0,224.0,90.0,1.1,0,41.01989
-291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,890,44,19,Python,https://hamilton-docs.gitbook.io/docs/,"hamilton: A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc.",stitchfix,2023-02-21,2020-05-26,143,6.217564870259481,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",2023-02-20,19,"['bovem@redhat', 'chmp', 'datarshreya', 'elijahbenizzy@stitchfix', 'frenchfrywpepper', 'ivirshup@helmholtzmunich', 'jameslamb@spothero', 'rinsoft-sf@stitchfix', 'shellyjang', 'skrawcz']",4,10,"['helmholtzmunich', 'redhat', 'spothero', 'stitchfix']","['@spothero', 'Helmholtz Munich', 'Red Hat', 'Stitch Fix']",,6.12,99,76,33,0,16,7,16,99.0,177.0,90.0,1.8,0,43.77127
-341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,889,67,23,Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2023-02-17,2014-03-01,468,1.8972560975609756,"['terminal', 'curses', 'cli']",2023-02-04,25,"['avylove', 'croepha', 'dlax@dalibo', 'erikrose@mozillagoogle', 'fishermans-friend', 'jquast', 'jwezel', 'msabramo@adobe', 'thomasballinger', 'vitek']",3,10,"['adobe', 'dalibo', 'mozillagoogle']","['@adobe', '@dalibo', '@mozilla @google']",,0.23,11,9,109,1,1,6,1,11.0,18.0,90.0,1.6,0,34.58303
-392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,876,95,31,Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2023-02-20,2019-05-29,195,4.492307692307692,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",2022-09-27,4,"['FlorianWetschoreck@bamboolib', 'fwetdb@databricks', 'susmitpy', 'tkrabel@8080labs']",3,10,"['8080labs', 'bamboolib', 'databricks']","['@8080labs', '@databricks ', 'bamboolib']",,0.19,0,0,45,5,0,0,0,0.0,0.0,90.0,0.0,0,16.54058
-697,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,870,255,24,Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2023-02-20,2014-12-02,429,2.0272969374167777,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",2023-01-16,42,"['1ucian0', 'OrganicIrradiation', 'TomBrien@cardiffuniversity', 'arunkannawadi@princetonuniversity', 'bielsnohr@ukaea', 'ipeirotis@newyorkuniversity', 'programize-admin', 'silvavn@universityofalberta', 'stefanct', 'waynehuu']",5,10,"['cardiffuniversity', 'newyorkuniversity', 'princetonuniversity', 'ukaea', 'universityofalberta']","[' New York University', '@ukaea', 'Cardiff University', 'Princeton University', 'University of Alberta']",,1.88,33,28,100,1,17,8,17,33.0,68.0,90.0,2.1,0,45.32403
-712,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,868,146,22,Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2023-02-18,2021-05-12,93,9.333333333333334,[],2023-01-17,12,"['ClaireXie', 'YknZhu@google', 'aquariusjay', 'csrhddlam@johnshopkinsuniversity', 'davidblom603@shell', 'joe-siyuan-qiao@johnshopkinsuniversity', 'markweberdev', 'meijieru@johnshopkinsuniversityccvl', 'yuanliangzhe', 'yucornetto@johnshopkinsuniversity']",4,10,"['google', 'johnshopkinsuniversity', 'johnshopkinsuniversityccvl', 'shell']","['Google', 'Johns Hopkins University', 'Johns Hopkins University @ccvl', 'Shell']",,0.79,10,4,22,1,0,0,0,10.0,15.0,90.0,1.5,0,28.62047
-628,data,https://github.com/intake/intake,,,,intake/intake,intake,868,125,41,Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2023-02-18,2017-08-14,288,3.010901883052527,"['python', 'data-access', 'data-catalog']",2023-02-15,79,"['CJ-Wright', 'bryevdv@nvidia', 'danielballan@brookhavennationallab', 'gwbischof@nsls-ii', 'ian-r-rose@coiled', 'jbcrail', 'jsignell@azavea', 'martindurant@anaconda', 'philippjfr@anaconda', 'seibert']",6,10,"['anaconda', 'azavea', 'brookhavennationallab', 'coiled', 'nsls-ii', 'nvidia']","['@NSLS-II ', '@azavea', '@coiled ', 'Anaconda Inc.', 'Anaconda, inc.', 'Brookhaven National Lab', 'Nvidia']",,0.85,15,12,67,0,0,7,7,15.0,42.0,90.0,2.8,0,46.11345
-347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,863,69,27,Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2023-02-13,2021-03-16,101,8.532485875706215,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",2022-11-08,11,"['aliaksah@universityofoslo', 'jerbarnes@universityofthebasquecountryupv/ehu', 'lidiexy-palinode@palinode', 'marioangst@universityofzurich,digitalsocietyinitiative', 'plison@norwegiancomputingcentre', 'ruanchaves', 'udayankumar']",5,10,"['norwegiancomputingcentre', 'palinode', 'universityofoslo', 'universityofthebasquecountryupv/ehu', 'universityofzurich,digitalsocietyinitiative']","['Norwegian Computing Centre', 'Palinode', 'University of Oslo', 'University of Zurich, Digital Society Initiative', 'University of the Basque Country UPV/EHU']",,0.35,2,1,24,4,1,1,1,2.0,0.0,90.0,0.0,0,22.58919
-351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,857,48,24,Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2023-02-21,2021-08-11,80,10.7125,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",2023-02-15,32,"['LMMilliken', 'azayz@jinaai', 'bwanglzu@jina-ai', 'gmastrapas@jinaai', 'guenthermi@jinaai', 'hanxiao@jina-ai', 'jina-bot@jina-ai', 'jupyterjazz@jina-ai', 'nomagick@jina-ai', 'scott-martens@jina-ai']",2,10,"['jina-ai', 'jinaai']","['@jina-ai', '@jina-ai ', 'Jina AI']",,4.23,68,62,19,0,12,21,12,68.0,159.0,90.0,2.3,0,40.64492
-445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,856,190,30,Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2023-02-18,2014-12-29,425,2.012764528048371,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",2023-01-20,58,"['cjmayo', 'dependabot[bot]', 'greglucas@lasp/lasp/swxtrec', 'idanmiara@viatransportation', 'jdkloe@knmi', 'jorisvandenbossche', 'jswhit', 'micahcochran', 'paultcochrane', 'snowman2@corteva']",4,10,"['corteva', 'knmi', 'lasp/lasp/swxtrec', 'viatransportation']","['@corteva ', 'KNMI', 'LASP / @lasp / @SWxTREC', 'Via Transportation']",,3.0,63,52,99,1,7,7,7,63.0,135.0,90.0,2.1,0,45.24434
-484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,847,229,59,Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2023-02-15,2015-05-22,404,2.0928344511118957,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",2022-11-03,42,"['avalentino', 'gbaier', 'j08lue@developmentseed', 'kr-stn', 'lucadelu@fondazioneedmundmach', 'sdf94', 'thomasyoung-audet@deloitte', 'valgur@milremrobotics', 'viktorbahr', 'willemarcel@developmentseed']",4,10,"['deloitte', 'developmentseed', 'fondazioneedmundmach', 'milremrobotics']","['@developmentseed ', 'Deloitte', 'Development Seed', 'Fondazione Edmund Mach', 'Milrem Robotics']",,0.13,8,2,94,4,0,3,3,8.0,23.0,90.0,2.9,0,36.24327
-887,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,846,454,76,Python,,pyscf: Python module for quantum chemistry,pyscf,2023-02-21,2014-05-02,459,1.8402734617775016,[],2023-02-07,141,"['Samragni-93@theohiostateuniversity', 'fishjojo', 'jdmcclain47', 'kovalp@simuneatomisticss.l.', ""obackhouse@king'scollege,london"", 'pulkin', 'ssh2', 'sunqm', 'tberkel@columbiauniversityandflatironinstitute', 'xwang862']",4,10,"['columbiauniversityandflatironinstitute', ""king'scollege,london"", 'simuneatomisticss.l.', 'theohiostateuniversity']","['Columbia University and Flatiron Institute', ""King's College, London"", 'Simune Atomistics S.L.', 'The Ohio State University']",,5.35,122,69,107,1,2,8,2,122.0,222.0,90.0,1.8,0,47.10729
-639,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,838,237,41,Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2023-02-21,2017-06-15,296,2.8229066410009627,['hacktoberfest'],2023-02-10,77,"['TomAugspurger@microsoft', 'abduhbm', 'jameslamb@spothero', 'jcrist@voltrondata', 'jrbourbeau@coiled', 'mmccarty@nvidia', 'mrocklin@coiled', 'raybellwaves@dtn', 'stsievert', 'thomasjpfan@quansight-labs']",7,10,"['coiled', 'dtn', 'microsoft', 'nvidia', 'quansight-labs', 'spothero', 'voltrondata']","['@Quansight-Labs ', '@coiled ', '@microsoft', '@spothero', '@voltrondata', 'DTN', 'NVIDIA']",,0.25,20,7,69,0,1,6,1,20.0,29.0,90.0,1.4,0,41.53054
-395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,827,62,31,Python,,emmett: The web framework for inventors,emmett-framework,2023-02-20,2014-10-20,435,1.8999015425008206,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",2023-01-30,22,"['GiantCrocodile', 'Leon0824', 'bronte2k7', 'cassiobotaro', 'gi0baro', 'ianonavy', 'lethargilistic@lawstudent', 'mijdavis2@praxiskit', 'vanadium23@ostrovok.ru', 'waghanza@cashbee-team']",4,10,"['cashbee-team', 'lawstudent', 'ostrovok.ru', 'praxiskit']","['@cashbee-team', '@praxiskit ', 'Law Student', 'Ostrovok.ru']",,0.9,5,5,102,1,11,13,11,5.0,4.0,90.0,0.8,0,36.72439
-926,study,https://github.com/roboflow/notebooks,,,,roboflow/notebooks,notebooks,805,125,22,Jupyter Notebook,https://roboflow.com/models,notebooks: Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.,roboflow,2023-02-21,2022-11-18,13,58.697916666666664,"['computer-vision', 'deep-learning', 'deep-neural-networks', 'image-classification', 'image-segmentation', 'object-detection', 'yolov5', 'yolov6', 'yolov7', 'pytorch', 'tutorial', 'amazon-sagemaker-lab', 'kaggle', 'yolov8', 'google-colab', 'machine-learning']",2023-02-14,9,"['FrancescoSaverioZuppichini@roboflow', 'Jacobsolawetz@roboflow.com', 'SkalskiP@roboflow', 'capjamesg@roboflow', 'hansent', 'mmcquade11', 'partheee@spritle']",3,10,"['roboflow', 'roboflow.com', 'spritle']","['@Roboflow', '@roboflow', 'Spritle', 'roboflow', 'roboflow.com']",,2.52,52,48,3,0,1,4,1,52.0,157.0,90.0,3.0,0,31.25547
-850,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,804,95,22,Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2023-02-21,2012-02-20,574,1.4,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",2023-02-02,42,"['NiltonVolpato@google', 'Zannick', 'joe-antognini@whisper', 'matthewwardrop@datascientistatnetflix', 'paulo-raca', 'ritze', 'stuertz@cslab', 'takluyver', 'terencehonles', 'wolph']",4,10,"['cslab', 'datascientistatnetflix', 'google', 'whisper']","['@cslab', 'Data Scientist at @Netflix', 'Google', 'Whisper']",,1.1,5,1,134,1,3,9,3,5.0,7.0,90.0,1.4,0,37.51963
-738,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,802,11,4,Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2023-02-20,2022-03-09,50,16.04,"['python', 'pointers', 'python-pointers']",2023-02-14,8,"['2231puppy', '5HT2', 'UltraStudioLTD', 'ZeroIntensity', 'bswck', 'joshua-auchincloss@royalbankofcanada', 'shenanigansd', 'shenjackyuanjie@china']",2,10,"['china', 'royalbankofcanada']","['China', 'Royal Bank of Canada']",,3.48,4,3,12,0,8,8,8,4.0,11.0,90.0,2.8,0,31.96097
-490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,795,151,48,Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2023-02-17,2010-01-31,681,1.1666666666666667,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",2022-11-14,32,"['cgohlke', 'jakirkham', 'langner@google', 'lstolcman', 'luispedro@fudanuniversity', 'meawoppl@theexclosure', 'michaelaye@lasp', 'mindw', 'stefanv@universityofcalifornia,berkeley', 'wang1211']",5,10,"['fudanuniversity', 'google', 'lasp', 'theexclosure', 'universityofcalifornia,berkeley']","['Fudan University', 'Google', 'LASP', 'The Exclosure', 'University of California, Berkeley']",,0.15,5,1,159,3,1,4,1,5.0,9.0,90.0,1.8,0,34.3741
-226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,792,79,38,Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2023-01-20,2020-11-02,120,6.584323040380047,[],2023-02-01,43,"['1heart', 'Rebecca-Qian', 'anuragprat1k', 'aszlam', 'exhaustin', 'kavyasrinet@facebookairesearch', 'lshamis', 'snyxan@facebookairesearch', 'soumith@facebookairesearch', 'zephirefaith@facebookresearch']",2,10,"['facebookairesearch', 'facebookresearch']","['@facebookresearch ', 'Facebook AI Research']",,8.12,23,9,28,1,0,0,0,23.0,31.0,90.0,1.3,0,33.48744
-908,viz,https://github.com/datapane/datapane,,,,datapane/datapane,datapane,782,64,16,Python,https://datapane.com,Datapane is the easiest way to create data science reports from Python.,datapane,2023-02-20,2020-04-23,147,5.288888888888889,"['dashboard', 'reporting', 'data-visualization', 'python', 'hacktoberfest']",2023-02-21,11,"['Buroni@datapane', 'antdking@datapane', 'datapane-ci-bot', 'dependabot[bot]', 'lanthias@datapane', 'mallok-s', 'mands@datapane', 'radiac', 'shahinrostami@datasciencelabpolyra', 'spookylukey']",2,10,"['datapane', 'datasciencelabpolyra']","['@Datapane', '@datapane', '@datapane  ', 'Data Science Lab @ Polyra', 'datapane']",,5.56,11,6,34,0,0,18,18,11.0,21.0,90.0,1.9,0,37.01252
-810,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,771,171,98,Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2023-02-21,2015-05-05,407,1.8936842105263159,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",2023-02-09,41,"['2hdddg', 'RagnarW', 'jakewins@tibber', 'martin-neotech@neo4j', 'nigelsmall', 'pontusmelke@neotechnology', 'robsdedude', 'srbaker', 'technige@elastic', 'zhenlineo']",4,10,"['elastic', 'neo4j', 'neotechnology', 'tibber']","['@tibber  ', 'Elastic', 'Neo Technology', 'Neo4j']",,2.77,42,38,95,0,18,14,18,42.0,30.0,90.0,0.7,0,44.31298
-853,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,770,163,34,Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2023-02-19,2017-05-14,301,2.5545023696682465,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",2022-12-13,7,"['amrrs', 'dreadedhamish', 'eliasdabbas@themediasupermarket', 'lgtm-migrator@github', 'pyup-bot@pyupio']",3,10,"['github', 'pyupio', 'themediasupermarket']","['@github', '@pyupio', 'The Media Supermarket']",,1.33,20,17,70,2,0,6,6,20.0,38.0,90.0,1.9,0,33.83792
-658,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,765,82,13,Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2023-02-21,2014-07-30,447,1.7114093959731544,"['python', 'magic-extension', 'jupyter', 'ipython']",2022-09-13,17,"['GreatBahram', 'Hugovdberg@brabantwater', 'askras', 'e9t@upstageai,hkust', 'iamaziz', 'jGaboardi@ornl', 'jamesmyatt@capgeminiengineering', 'pjbull@drivendata', 'proinsias@hospiq', 'rasbt@lightning-ai,universityofwisconsin-madison']",7,10,"['brabantwater', 'capgeminiengineering', 'drivendata', 'hospiq', 'lightning-ai,universityofwisconsin-madison', 'ornl', 'upstageai,hkust']","['@Lightning-AI , University of Wisconsin-Madison', '@UpstageAI, @hkust', '@hospiq ', 'Brabant Water', 'Capgemini Engineering', 'DrivenData', 'ORNL']",,0.06,0,0,104,5,1,2,1,0.0,0.0,90.0,0.0,0,26.54468
-146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,762,228,40,Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2023-02-15,2013-02-11,523,1.4561834561834561,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",2023-02-20,67,"['ChiaraBi', 'Glignos@skribble', 'JavierDelgadoFernandez', 'SamiHiltunen', 'frankois@ibekso', 'jainaman224@codingninjas', 'kaplun@protonmail', 'lnielsen@cern', 'mitsosf', 'slint@cern']",5,10,"['cern', 'codingninjas', 'ibekso', 'protonmail', 'skribble']","['@ProtonMail ', 'CERN', 'Coding Ninjas', 'Ibekso', 'Skribble']",,1.46,409,61,122,0,0,41,41,409.0,58.0,90.0,0.1,0,47.03687
-559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,759,59,16,Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.,vizzuhq,2023-02-18,2022-01-05,59,12.864406779661017,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",2023-02-17,10,"['KleinK0910@vizzu', 'ParkerKain', 'ShruAgarwal', 'csaladenes@denesdata', 'm1lk4', 'nyirog@oneidentity(balabit)', 'petervidos@vizzuhq', 'simzer@vizzuhq', 'sugatoray@universityofwisconsin-milwaukee', 'veghdev']",5,10,"['denesdata', 'oneidentity(balabit)', 'universityofwisconsin-milwaukee', 'vizzu', 'vizzuhq']","['@VizzuHQ', '@denesdata ', '@vizzuhq', 'One Identity (BalaBit)', 'University of Wisconsin - Milwaukee', 'Vizzu']",,7.62,19,11,14,0,13,16,13,19.0,13.0,90.0,0.7,0,36.47319
-334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,757,49,28,Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2023-02-08,2013-04-03,516,1.4670542635658914,"['python', 'monkey-patching']",2022-03-12,15,"['Cologler', 'Jongy', 'Julian', 'adamchainz@django,djangolondon', 'bitdeli-chef@bitdeli', 'clarete', 'lukasgraf@4teamworkag', 'pschanely', 'smola@datadog', 'timgates42@iress']",5,10,"['4teamworkag', 'bitdeli', 'datadog', 'django,djangolondon', 'iress']","['4teamwork AG', '@datadog', '@django, @djangolondon', 'Bitdeli', 'IRESS']",,0.0,0,0,120,16,0,1,1,0.0,0.0,90.0,0.0,0,22.50173
-791,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,754,178,22,Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2023-02-20,2013-10-02,490,1.5387755102040817,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",2023-01-29,17,"['Berserker66@skamrahlitsolutions', 'Norberg', 'anthemion', 'cclauss@christianclauss', 'illume', 'mikhail@google', 'msis@blksail', 'oprypin@google', 'viblo', 'zman97211']",4,10,"['blksail', 'christianclauss', 'google', 'skamrahlitsolutions']","['@google', '@google ', 'Christian Clauss', 'Skamrahl IT Solutions', 'blkSAIL']",,1.35,9,6,114,1,2,3,2,9.0,14.0,90.0,1.6,0,36.2249
-976,sim,https://github.com/a-r-j/graphein,,,,a-r-j/graphein,graphein,751,95,16,Jupyter Notebook,https://graphein.ai/,graphein: Protein Graph Library,a-r-j,2023-02-21,2019-08-28,182,4.126373626373627,"['protein', 'protein-structure', 'deep-learning', 'pytorch', 'graph-neural-networks', 'dgl', 'computational-biology', 'bioinformatics', 'structural-biology', 'protein-data-bank', 'protein-design', 'geometric-deep-learning', 'pytorch-geometric', 'python', 'interactomics', 'interactome', 'rna', 'ppi-networks', 'gene-regulatory-networks', 'drug-discovery']",2023-02-13,21,"['Seanny123@proteinqure', 'a-r-j@universityofcambridge', 'anton-bushuiev', 'cch1999@univeristyofcambridge', 'dependabot-preview[bot]', 'ericmjl', 'kamurani@rewiredbio', 'kexinhuang12345', 'pre-commit-ci[bot]', 'rvinas']",4,10,"['proteinqure', 'rewiredbio', 'univeristyofcambridge', 'universityofcambridge']","['@rewiredbio', 'ProteinQure', 'Univeristy of Cambridge', 'University of Cambridge']",,1.48,43,30,42,0,8,3,8,43.0,106.0,90.0,2.5,0,41.43113
-325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,751,48,20,Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2023-02-20,2021-09-02,76,9.771375464684015,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",2023-02-16,20,"['Elkasitu@redhat', 'JeffreyVdb', 'ameily', 'cooperlees@clc', 'dependabot[bot]', 'di@google', 'redbmk@anthem-ai', 'tetsuo-cpp@trailofbits', 'woodruffw@trailofbits', 'xsc27@digitalr00ts']",6,10,"['anthem-ai', 'clc', 'digitalr00ts', 'google', 'redhat', 'trailofbits']","['@anthem-ai', '@google', '@trailofbits', '@trailofbits ', 'CLC', 'Red Hat', 'digitalr00ts']",,4.19,119,101,18,0,25,30,25,119.0,238.0,90.0,2.0,0,44.96211
-975,gis,https://github.com/microsoft/globalmlbuildingfootprints,,,,microsoft/globalmlbuildingfootprints,GlobalMLBuildingFootprints,747,92,31,Python,,GlobalMLBuildingFootprints: Worldwide building footprints derived from satellite imagery ,microsoft,2023-02-21,2022-04-22,43,17.08823529411765,[],2022-11-16,4,"['andwoi', 'dakotabenjamin@hotosm', 'microsoft-github-operations[bot]', 'microsoftopensource@microsoft']",2,10,"['hotosm', 'microsoft']","['@hotosm ', 'Microsoft']",,0.46,7,1,10,3,0,0,0,6.0,3.0,90.0,0.5,0,16.5975
-634,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,741,40,13,Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2023-02-19,2017-02-04,315,2.348121321865097,"['profiling', 'python', 'heatmap', 'matplotlib']",2021-09-18,5,"['AaronRobson@citrix', 'csurfer@lyft', 'hinnefe2']",2,10,"['citrix', 'lyft']","['@Citrix', 'Lyft']",,0.0,0,0,74,17,0,0,0,0.0,0.0,90.0,0.0,0,13.84075
-419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,733,42,15,Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2023-02-21,2012-05-03,563,1.2999746643020016,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",2023-01-11,21,"['Gilthans@siasol', 'MinchinWeb', 'SethMMorton', 'cpburnz', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'kuraga', 'madphysicist', 'rinslow@dapulse', 'swt2c']",4,10,"['dapulse', 'nordsoftware', 'pioneervalleybooks', 'siasol']","['@DaPulse ', 'Nord Software', 'Pioneer Valley Books', 'Siasol']",,0.23,3,2,132,1,0,5,5,3.0,13.0,90.0,4.3,0,38.84271
-23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,729,152,40,Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2023-02-21,2011-12-07,585,1.2461538461538462,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",2023-01-10,47,"['ariasdereyna', 'asmeurer@quansight', 'casevh', 'certik@gsitechnology', 'fredrik-johansson@inria&institutdemathématiquesdebordeaux', 'klkuhlm', 'paulmasson', 'skirpichev', 'vks', 'warnerjon12']",3,10,"['gsitechnology', 'inria&institutdemathématiquesdebordeaux', 'quansight']","['@Quansight ', 'GSI Technology', 'INRIA & Institut de Mathématiques de Bordeaux']",,0.23,12,5,136,1,0,1,1,12.0,12.0,90.0,1.0,0,35.09977
-701,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,722,21,9,Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2023-02-21,2020-06-18,139,5.162410623084781,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",2023-02-14,6,"['PLNech@algolia', 'bast@uit-noneicnordic', 'dependabot[bot]', 'itamarst', 'pythonspeed@hyphenatedenterprises', 'whalesalad@whalesalad']",4,10,"['algolia', 'hyphenatedenterprises', 'uit-noneicnordic', 'whalesalad']","['@uit-no @neicnordic', 'Algolia', 'Hyphenated Enterprises LLC', 'WHALESALAD']",,3.33,36,25,33,0,13,23,13,36.0,24.0,90.0,0.7,0,36.12388
-621,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,720,96,18,Python,,Parameterized testing with any Python test framework,wolever,2023-02-14,2012-03-10,571,1.2596850787303173,[],2021-01-09,24,"['AlexRiina@klaviyo', 'charlsagente', 'curtissiemens@zillow.com', 'danielbradburn@crunchr', 'duncan-webb', 'ntflc', 'shazow', 'smspillaz', 'ukinau', 'wolever@sheertex']",4,10,"['crunchr', 'klaviyo', 'sheertex', 'zillow.com']","['@crunchr ', '@klaviyo', 'Sheertex', 'Zillow.com']",,0.0,9,0,133,26,0,1,1,9.0,7.0,90.0,0.8,0,25.78955
-358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,719,38,41,Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2023-02-01,2020-05-27,143,5.027972027972028,"['data-documentation', 'data-catalog', 'data-discovery']",2022-10-13,17,"['bachng2017@nttcommunications', 'biomunky', 'cantzakas@vmware', 'dependabot[bot]', 'jhh3000@dataframehq', 'jwodder', 'manuelzander', 'peterthesling@shopify', 'rsyi@dataframe', 'yosupmoon@harvarduniversity']",6,10,"['dataframe', 'dataframehq', 'harvarduniversity', 'nttcommunications', 'shopify', 'vmware']","['@dataframehq', '@vmware', 'Dataframe', 'Harvard University', 'NTT Communications', 'Shopify']",,0.13,5,2,33,4,0,10,10,5.0,1.0,90.0,0.2,0,29.49195
-477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,716,80,23,Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2023-02-21,2018-03-19,257,2.782898389783454,"['holoviz', 'holoviews', 'plotting', 'datashader']",2023-02-10,39,"['Hoxbro', 'MarcSkovMadsen@data,modelsandanalytics', 'MridulS', 'ahuang11@prefect!', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'data,modelsandanalytics', 'prefect!']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Data, models and analytics', 'Prefect!']",,2.04,139,23,60,0,3,22,3,139.0,98.0,90.0,0.7,0,40.39827
-593,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,710,395,60,Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2023-02-20,2011-02-19,626,1.1331509347925217,"['gis', 'maps', 'plots']",2022-11-29,69,"['DWesl', 'WeatherGod@atmosphericandenvironmentalresearch', 'efiring@universityofhawaii', 'guziy@eccc', 'j08lue@developmentseed', 'joferkington@planetlabs', 'jswhit', 'micahcochran', 'molinav@germanaerospacecenter(dlr)', 'ocefpaf']",6,10,"['atmosphericandenvironmentalresearch', 'developmentseed', 'eccc', 'germanaerospacecenter(dlr)', 'planetlabs', 'universityofhawaii']","['@planetlabs ', 'Atmospheric and Environmental Research, Inc.', 'Development Seed', 'ECCC', 'German Aerospace Center (DLR)', 'University of Hawaii']",,2.12,5,3,146,3,4,3,4,5.0,21.0,90.0,4.2,0,43.64817
-360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,699,149,49,Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2023-02-21,2018-07-02,242,2.8850235849056602,[],2023-02-17,25,"['abdel91', 'brills', 'caveness', 'etiennedaspe', 'npoly', 'paulgc@google', 'santosh-d3vpl3x', 'terrytangyuan@akuity', 'tfx-copybara', 'zwestrick']",2,10,"['akuity', 'google']","['@akuity', '@google ']",,2.5,10,7,56,0,6,9,6,10.0,15.0,90.0,1.5,0,36.89527
-168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,693,93,36,Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2023-02-05,2016-06-23,347,1.9921971252566735,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",2021-02-01,6,"['ahalterman@msupoliticalscience', 'arfon@github', 'chilland@maxar', 'johnb30', 'riordan@phillymedia']",4,10,"['github', 'maxar', 'msupoliticalscience', 'phillymedia']","['@github', '@phillymedia ', 'MSU Political Science', 'Maxar']",,0.0,3,0,81,25,0,1,1,3.0,4.0,90.0,1.3,0,21.8184
-818,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,692,49,16,Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2023-02-21,2022-07-01,33,20.52542372881356,[],2023-02-05,6,"['David-Schnurr', 'SamuelGabriel', 'eddiebergman@automl.org', 'frank-hutter@universityoffreiburg', 'noahho', 'tabpfn-anonym']",2,10,"['automl.org', 'universityoffreiburg']","['University of Freiburg ', 'automl.org']",,2.35,12,11,8,1,0,0,0,12.0,37.0,90.0,3.1,0,25.98879
-620,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,692,35,7,Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2023-02-17,2020-07-11,136,5.066945606694561,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",2023-02-20,23,"['MarcoGorelli@quansight', 'allcontributors[bot]', 'bdice@nvidia', 'caioariede@tesorio', 'girip11', 'janosh@cambridgeuniversity', 'neomatrix369@seniorsoftware,data,mlengnr(self-employed)', 'pre-commit-ci[bot]', 's-weigand', 'tovrstra@ghentuniversity']",6,10,"['cambridgeuniversity', 'ghentuniversity', 'nvidia', 'quansight', 'seniorsoftware,data,mlengnr(self-employed)', 'tesorio']","['@NVIDIA', '@Tesorio', 'Cambridge University', 'Ghent University', 'Quansight', 'Senior Software, Data, ML Engnr (Self-employed)']",,1.27,28,26,32,0,0,32,32,28.0,48.0,90.0,1.7,0,42.99862
-572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,684,155,127,Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2023-02-17,2014-08-01,446,1.5311800447713464,[],2018-07-30,24,"['angevineMiller@ucsdschoolofmedicine', 'astrojuanlu@kedro-org', 'drewbo@cloud-gov(work)+personalprojects;', 'julesair@ledgy', 'kamicut@developmentseed', 'lpinner', 'matthewhanson@element84', 'mileswwatkins', 'njwilson23@fortyninemaps', 'scisco']",7,10,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'element84', 'fortyninemaps', 'kedro-org', 'ledgy', 'ucsdschoolofmedicine']","['@Ledgy ', '@cloud-gov (work) + personal projects; ', '@developmentseed ', '@element84', '@fortyninemaps', '@kedro-org', 'UCSD School of Medicine']",,0.0,0,0,104,56,0,2,2,0.0,0.0,90.0,0.0,0,22.5539
-393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,682,81,27,Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2023-01-21,2015-04-30,407,1.67215411558669,"['benchmark', 'python-frameworks']",2022-03-14,10,"['Kludex@encode', 'abersheeran@get-post-technology', 'alkorgun', 'dependabot[bot]', 'gi0baro', 'github-actions[bot]', 'hawkowl@redhat', 'iurisilvio@buser', 'klen@home']",5,10,"['buser', 'encode', 'get-post-technology', 'home', 'redhat']","['@encode', '@get-post-technology', 'Buser', 'Red Hat', 'home']",,0.12,16,9,95,11,0,3,3,16.0,9.0,90.0,0.6,0,28.72468
-882,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,678,65,14,Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2023-02-21,2019-11-26,169,4.008445945945946,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",2023-02-02,1,['winedarksea'],0,10,[],[],,3.23,13,13,39,1,7,12,7,13.0,30.0,90.0,2.3,0,24.14228
-741,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,677,54,13,Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2023-02-21,2020-07-11,136,4.957112970711297,"['scikit-learn', 'machine-learning', 'benchmark']",2021-10-05,5,"['kayhoogland@floryn', 'koaning@explosion', 'nthomsencph@nttdatabusinesssolutions', 'ogabrielluiz', 'synapticarbors']",3,10,"['explosion', 'floryn', 'nttdatabusinesssolutions']","['@explosion', 'Floryn', 'NTT Data Business Solutions']",,0.0,2,0,32,17,0,0,0,2.0,10.0,90.0,5.0,0,21.59978
-483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,674,218,47,Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2023-02-17,2017-05-17,301,2.2392026578073088,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",2023-02-16,44,"['AleksMat@google', 'andrejburja', 'batic@sinergise', 'blazs', 'devisperessutti@sinergisesentinel-hub', 'iovsn', 'jgersak', 'mlubej@eoresearchteamsinergise', 'rmocnik@sinergise', 'zigaLuksic@sinergise']",4,10,"['eoresearchteamsinergise', 'google', 'sinergise', 'sinergisesentinel-hub']","['@Sinergise', '@sinergise ', '@sinergise @sentinel-hub ', 'EO Research Team @ Sinergise', 'Google', 'Sinergise']",,4.67,65,64,70,0,13,9,13,65.0,37.0,90.0,0.6,0,44.30491
-629,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,672,76,24,Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2023-02-20,2020-02-08,158,4.237837837837838,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",2023-02-16,28,"['SapirLastimoza-Dooley@esri', 'a7az0th@software-supreme', 'brendancol@makepath', 'calexat-123', 'chase-dwelle', 'giancastro@makepath', 'ianthomas23@anaconda', 'kristinepetrosyan', 'marcozimmermannpm', 'thuydotm@makepath']",4,10,"['anaconda', 'esri', 'makepath', 'software-supreme']","['@makepath', '@makepath ', 'Anaconda, Inc.', 'Esri', 'Software-Supreme']",,1.02,107,41,37,0,3,12,3,107.0,40.0,90.0,0.4,0,37.0362
-164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,672,50,26,Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2023-02-18,2019-01-31,211,3.171948752528658,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",2022-05-27,7,"['BramVanroy@lt3kuleuven', 'SergeyShk@anna.money', 'adrianeboyd', 'buhrmann@graphext', 'honnibal@founderexplosion', 'ines@founderexplosion', 'yuhaozhang@stanforduniversity']",5,10,"['anna.money', 'founderexplosion', 'graphext', 'lt3kuleuven', 'stanforduniversity']","['@graphext ', '@lt3 @kuleuven', 'ANNA.MONEY', 'Founder @explosion ', 'Stanford University']",,0.06,4,1,49,9,1,4,1,4.0,5.0,90.0,1.2,0,24.75566
-938,web,https://github.com/koxudaxi/fastapi-code-generator,,,,koxudaxi/fastapi-code-generator,fastapi-code-generator,662,76,14,Python,,fastapi-code-generator: This code generator creates FastAPI app from an openapi file.,koxudaxi,2023-02-17,2020-06-14,140,4.714140386571719,"['fastapi', 'openapi', 'generator', 'python', 'pydantic']",2023-02-15,18,"['allen-munsch', 'baophamtd', 'david-westreicher', 'dependabot-preview[bot]', 'dependabot[bot]', 'ioggstream@teamdigitale', 'koxudaxi@tractabletractableai', 'n0nvme', 'rominf@aiven', 'ytoml']",3,10,"['aiven', 'teamdigitale', 'tractabletractableai']","['@teamdigitale', 'Aiven', 'Tractable @tractableai']",,0.65,33,22,33,0,4,14,4,33.0,42.0,90.0,1.3,0,35.44654
-475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,659,116,35,Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2023-02-16,2017-09-22,282,2.330975240020212,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",2023-01-30,21,"['Hoxbro', 'ceball', 'droumis', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'kebowen730', 'maximlt@anaconda', 'philippjfr@anaconda', 'ppwadhwa']",2,10,"['anaconda', 'azavea']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.']",,0.71,20,16,66,1,0,15,15,20.0,39.0,90.0,1.9,0,36.98259
-808,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,659,69,12,Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2023-02-17,2020-10-05,124,5.302298850574712,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate']",2023-02-05,13,"['Bensebabillal', 'WP-LKL', 'am1ru1@infosec', 'anton-petrov', 'chandr-andr@iponweb', 'codeleta', 'gpkc@fyndiq', 'haluk@universityofnebraska-lincoln', 's3rius', 'sorasful']",4,10,"['fyndiq', 'infosec', 'iponweb', 'universityofnebraska-lincoln']","['@fyndiq', 'IPONWEB ', 'InfoSec', 'University of Nebraska-Lincoln']",,1.08,17,14,29,1,14,10,14,17.0,36.0,90.0,2.1,0,36.57759
-637,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,654,33,8,Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2023-02-18,2017-08-20,287,2.275347912524851,"['python-devtools', 'python', 'devtools']",2023-02-06,11,"['0xsirsaif', 'AlwxSin@pik.pro', 'Cielquan', 'alexmojaki', 'aliereno', 'dependabot[bot]', 'pyup-bot@pyupio', 'samuelcolvin@pydantic', 'staticf0x', 'the-vty']",3,10,"['pik.pro', 'pydantic', 'pyupio']","['@pik.pro', '@pydantic', '@pyupio']",,0.31,12,5,67,0,2,3,2,12.0,23.0,90.0,1.9,0,33.9644
-344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,648,68,17,Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2023-02-19,2019-08-14,184,3.5217391304347827,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",2023-02-21,36,"['agoose77', 'allcontributors[bot]', 'dependabot[bot]', 'henryiii@princetonuniversity', 'ianna', 'ioanaif', 'jpivarski@princeton,iris-hep,pyhep,scikit-hep', 'pre-commit-ci[bot]', 'reikdas@purdueuniversity', 'swishdiff@microsoft']",4,10,"['microsoft', 'princeton,iris-hep,pyhep,scikit-hep', 'princetonuniversity', 'purdueuniversity']","['@microsoft', 'Princeton University', 'Princeton, IRIS-HEP, PyHEP, Scikit-HEP', 'Purdue University']",,11.38,374,324,43,0,45,62,45,374.0,809.0,90.0,2.2,0,50.34484
-849,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,644,216,22,Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2023-02-20,2016-03-16,362,1.7790055248618784,['hacktoberfest'],2023-02-13,113,"['TomAugspurger@microsoft', 'fhoering@criteo', 'gsakkis', 'isidentical@fal-ai', 'jrbourbeau@coiled', 'koverholt@google', 'mariusvniekerk@voltrondata', 'martindurant@anaconda', 'mrocklin@coiled', 'raybellwaves@dtn']",8,10,"['anaconda', 'coiled', 'criteo', 'dtn', 'fal-ai', 'google', 'microsoft', 'voltrondata']","['@coiled ', '@criteo ', '@fal-ai', '@microsoft', '@voltrondata', 'Anaconda, inc.', 'DTN', 'Google']",,0.87,46,26,84,0,0,8,8,46.0,124.0,90.0,2.7,0,50.23661
-235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,642,121,19,Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2023-02-20,2021-08-16,79,8.097297297297297,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",2022-07-08,3,"['svc-scm', 'yuewang-cuhk@salesforceresearch']",1,10,['salesforceresearch'],['Salesforce Research'],,0.04,21,14,18,8,0,0,0,21.0,14.0,90.0,0.7,0,15.38681
-640,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,639,164,18,Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2023-02-17,2015-11-06,380,1.6784240150093808,['hacktoberfest'],2023-02-09,86,"['TomAugspurger@microsoft', 'dscottcs@steminc', 'indera', 'jaguarx', 'jcrobak@confluentinc', 'jonathanunderwood', 'martindurant@anaconda', 'mrocklin@coiled', 'pitrou', 'yohplala']",5,10,"['anaconda', 'coiled', 'confluentinc', 'microsoft', 'steminc']","['@coiled ', '@confluentinc ', '@microsoft', 'Anaconda, inc.', 'Stem Inc']",,1.08,37,36,89,0,0,6,6,37.0,82.0,90.0,2.2,0,46.82828
-760,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,633,188,55,Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2023-02-20,2019-02-28,207,3.045360824742268,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",2021-10-14,8,"['JackHidary', 'dlyongemallo@google', 'jaeyoo@google', 'joetricot', 'kikejimenez', 'rmlarose']",1,10,['google'],['Google'],,0.0,2,1,48,16,0,0,0,2.0,2.0,90.0,1.0,0,16.24614
-18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,631,102,18,Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2023-02-20,2020-06-23,139,4.534907597535934,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",2022-08-23,12,"['Jcharis@jcharistech', 'Jette16', 'adrianeboyd', 'callistachang', 'discdiver', 'ines@founderexplosion', 'narayanacharya6', 'pmbaumgartner@explosion', 'svlandeg@explosion&oxykodit', 'tvst@streamlit']",5,10,"['explosion', 'explosion&oxykodit', 'founderexplosion', 'jcharistech', 'streamlit']","['@explosion', 'Explosion & OxyKodit', 'Founder @explosion ', 'JCharisTech', 'Streamlit']",,0.25,2,0,32,6,2,4,2,2.0,2.0,90.0,1.0,0,25.72105
-839,util,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,631,67,22,Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2023-02-20,2021-09-14,75,8.397338403041825,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",2023-01-20,4,"['ChrisAnstey', 'idanya@fireblocks', ""scottsdevelopment@scott'sdevelopment""]",2,10,"['fireblocks', ""scott'sdevelopment""]","['Fireblocks', ""Scott's Development""]",,0.6,13,11,18,1,5,3,5,13.0,16.0,90.0,1.2,0,26.2415
-397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,625,25,31,Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2023-02-02,2015-02-03,420,1.4875892553553214,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",2023-02-21,13,"['DanielBacci@nubank', 'Krukov', 'MarSoft', 'abnerpc@loadsmart', 'dependabot[bot]', 'drgarcia1986', 'dveselov', 'ei-grad@faceapp', 'klen@home', 'msabramo@adobe']",5,10,"['adobe', 'faceapp', 'home', 'loadsmart', 'nubank']","['@adobe', '@loadsmart', 'FaceApp', 'Nubank', 'home']",,0.52,0,0,98,0,0,42,42,0.0,0.0,90.0,0.0,0,33.94907
-595,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,625,116,36,Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2023-02-16,2018-06-12,245,2.5495337995337994,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",2022-11-24,16,"['TengHu@softwareengineer,uber', 'ajfriend', 'dfellis@alantech', 'henryiii@princetonuniversity', 'isaacbrodsky@unfoldedinc', 'karentycoon', 'kylebarron', 'nastasi-oq@g.e.m.foundation', 'nrabinowitz', 'wwchen']",5,10,"['alantech', 'g.e.m.foundation', 'princetonuniversity', 'softwareengineer,uber', 'unfoldedinc']","['@UnfoldedInc ', '@alantech', 'G.E.M. Foundation', 'Princeton University', 'Software Engineer, Uber']",,0.46,21,8,57,3,4,4,4,21.0,32.0,90.0,1.5,0,34.23485
-690,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,615,163,17,Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2023-02-21,2017-03-15,310,1.9838709677419355,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",2023-02-20,87,"['Lucas-C@sncfconnect&techvoyages-sncf-technologies', 'RedShy', 'RomanKharin', 'alexanderankin@lymaconsulting', 'allcontributors[bot]', 'andersonhc', 'eumiro', 'fbernhart', 'gmischler', 'reingart@onapsis']",3,10,"['lymaconsulting', 'onapsis', 'sncfconnect&techvoyages-sncf-technologies']","['@Onapsis', 'Lyma Consulting', 'SNCF Connect & Tech @voyages-sncf-technologies']",,6.06,109,81,72,0,9,6,9,109.0,257.0,90.0,2.4,0,48.61551
-680,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,608,81,16,Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2023-02-21,2015-11-25,378,1.6084656084656084,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",2023-02-01,14,"['Japoneris', 'Miguel-ASM@bbkbootcamp(code4jobs)', 'arkel23@nycupcs', 'jacquerie@aws', 'lukasschwab', 'mdamien', 'mhils', 'msoelch', 'natfarleydev', 'windisch']",3,10,"['aws', 'bbkbootcamp(code4jobs)', 'nycupcs']","['@aws', 'BBK Bootcamp (Code 4 Jobs)', 'NYCU PCS']",,0.15,8,8,88,1,1,3,1,8.0,4.0,90.0,0.5,0,29.82391
-796,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,607,115,15,HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2023-02-19,2018-05-10,249,2.429388221841052,"['network-visualization', 'python', 'networkx']",2023-02-10,32,"['BerserkerGaruk', 'Darkproduct', 'Nanoseb', 'WilsonHChung', 'aalok-sathe@mitbrain&cognitivesciences', 'boludo00', 'jhunpingco@westhealthinstitute', 'js-konda@westhealth', 'nocluebutalotofit', 'olive004@universityofoxford']",4,10,"['mitbrain&cognitivesciences', 'universityofoxford', 'westhealth', 'westhealthinstitute']","['@MIT Brain & Cognitive Sciences', 'University of Oxford', 'West Health Institute ', 'WestHealth']",,0.69,32,3,58,0,3,1,3,32.0,25.0,90.0,0.8,0,36.7923
-982,ml,https://github.com/googlecloudplatform/vertex-ai-samples,,,,googlecloudplatform/vertex-ai-samples,vertex-ai-samples,604,407,37,Jupyter Notebook,https://cloud.google.com/vertex-ai,"vertex-ai-samples: Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud",googlecloudplatform,2023-02-20,2021-05-27,90,6.647798742138365,"['samples', 'gcp', 'google-cloud-platform', 'vertex-ai', 'notebook', 'python', 'ai', 'ml', 'data-science', 'mlops']",2023-02-18,98,"['andrewferlitsch', 'inardini@googlecloud', 'ivanmkc@google', 'krishr2d2@springml-code', 'kweinmeister@google', 'morgandu@google', 'renovate-bot@mend', 'soheilazangeneh@google', 'sudarshan-SpringML', 'udaypunna@springml']",5,10,"['google', 'googlecloud', 'mend', 'springml', 'springml-code']","['@google ', '@mend', '@springml-code ', 'Google', 'Google Cloud ', 'SpringML']",,23.08,279,235,21,0,0,0,0,275.0,473.0,90.0,1.7,0,46.36474
-831,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,597,87,16,Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2023-02-19,2016-08-28,338,1.7640354579991557,"['attrs', 'deserialization', 'serialization']",2023-02-05,45,"['MicaelJarniac@micaeljarniac', 'Tinche@pocketzworld', 'adetokunbo', 'bibajz', 'bluetech', 'dswistowski', 'jap', 'joeldodge79@looker', 'raabf@siemensag', 'toumorokoshi@google']",5,10,"['google', 'looker', 'micaeljarniac', 'pocketzworld', 'siemensag']","['@google', '@pocketzworld ', 'Looker', 'Micael Jarniac', 'Siemens AG']",,2.13,21,15,79,0,0,4,4,21.0,49.0,90.0,2.3,0,44.0484
-958,web,https://github.com/long2ice/fastapi-cache,,,,long2ice/fastapi-cache,fastapi-cache,596,88,9,Python,https://github.com/long2ice/fastapi-cache,"fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.",long2ice,2023-02-21,2020-08-25,130,4.579582875960483,"['cache', 'fastapi', 'redis', 'memcached']",2023-02-15,24,"['DevLucca@redventures', 'Mrreadiness', 'cpbotha', 'dveleztx@tamusa-acm', 'geo-mathijs', 'hackjammer', 'long2ice', 'schmocker@axpogridag', 'squaresmile', 'vvanglro']",3,10,"['axpogridag', 'redventures', 'tamusa-acm']","['@RedVentures ', '@TAMUSA-ACM', 'Axpo Grid AG']",,1.02,30,21,30,0,3,4,3,30.0,50.0,90.0,1.7,0,36.51021
-505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,593,137,28,Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2023-02-20,2019-04-30,199,2.9777618364418936,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",2023-01-20,23,"['FilippoSimini@argonnenationallaboratory', 'GiulianoCornacchia', 'gbarlacchi', 'jonpappalord@isti-cnr', 'lcandeago', 'miccferr', 'michelegirolami@isti-cnr', 'pareyesv@barcelonasupercomputingcenter,bsc', 'pellungrobe', 'sebxwolf']",3,10,"['argonnenationallaboratory', 'barcelonasupercomputingcenter,bsc', 'isti-cnr']","['Argonne National Laboratory', 'Barcelona Supercomputing Center, BSC', 'ISTI-CNR']",,1.1,50,36,46,1,1,2,1,50.0,32.0,90.0,0.6,0,33.02958
-889,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,590,218,43,C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2023-02-21,2019-05-17,196,2.999273783587509,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",2023-02-20,96,"['HamishB', 'HuidaeCho@newmexicostateuniversity', 'glynnc', 'huhabla', 'landam@czechtechnicaluniversityinprague', 'lucadelu@fondazioneedmundmach', 'metzm', 'neteler@mundialis', 'petrasovaa@ncsu', 'wenzeslaus@northcarolinastateuniversity']",6,10,"['czechtechnicaluniversityinprague', 'fondazioneedmundmach', 'mundialis', 'ncsu', 'newmexicostateuniversity', 'northcarolinastateuniversity']","['@mundialis ', 'Czech Technical University in Prague', 'Fondazione Edmund Mach', 'NCSU', 'New Mexico State University', 'North Carolina State University']",,7.02,416,196,46,0,12,36,12,416.0,628.0,90.0,1.5,0,51.45629
-117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,585,93,37,Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2023-02-21,2019-03-25,204,2.8636363636363638,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",2021-01-31,8,"['DeNeutoy', 'ICLRandD@theincorporatedcounciloflawreportingforenglandandwales', 'danielhoadley', 'hueyy', 'richardbatstone']",1,10,['theincorporatedcounciloflawreportingforenglandandwales'],['The Incorporated Council of Law Reporting for England and Wales'],,0.0,0,0,48,25,0,0,0,0.0,0.0,90.0,0.0,0,11.02523
-957,ml,https://github.com/facebookresearch/balance,,,,facebookresearch/balance,balance,584,27,5,Python,https://import-balance.org,balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.,facebookresearch,2023-02-21,2022-11-15,14,41.292929292929294,[],2023-02-19,11,"['SarigT', 'antonk52', 'facebook-github-bot@facebook', 'jknoxville@facebook', 'talgalili@telavivuniversity', 'zbraiterman']",2,10,"['facebook', 'telavivuniversity']","['@facebook', 'Facebook', 'Tel Aviv University']",,1.88,22,18,3,0,5,20,5,22.0,89.0,90.0,4.0,0,31.68279
-752,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,583,48,14,Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2023-02-19,2022-09-04,24,23.86549707602339,[],2022-10-30,2,"['andreykurenkov@stanford', 'sharonzhou']",1,10,['stanford'],['Stanford'],,0.44,0,0,6,4,0,0,0,0.0,0.0,90.0,0.0,0,7.88204
-671,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,581,30,33,Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2023-02-20,2022-06-03,37,15.405303030303031,[],2022-08-09,1,['atiorh'],0,10,[],[],,0.1,0,0,9,7,3,4,3,0.0,0.0,90.0,0.0,0,5.09876
-167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,581,157,50,HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2023-02-21,2017-09-30,281,2.063419583967529,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",2022-08-10,8,"['AndreyCorelli', 'kpmarsh', 'mjbommar', 'mviktorov', 'pchestek', 'reddalexx', 'warrenagin']",0,10,[],[],,0.06,5,1,66,6,0,0,0,5.0,4.0,90.0,0.8,0,15.92043
-906,data,https://github.com/googleapis/python-bigquery,,,,googleapis/python-bigquery,python-bigquery,568,229,57,Python,,googleapis/python-bigquery,googleapis,2023-02-18,2019-12-10,167,3.398290598290598,[],2023-02-16,122,"['HemangChothani', 'alixhami', 'dhermes@co-founderhardfinhq', 'gcf-owl-bot[bot]', 'jba@google', 'plamut@independentcontractor', 'release-please[bot]', 'renovate-bot@mend', 'tseaver@agendalessconsulting', 'tswast@google']",5,10,"['agendalessconsulting', 'co-founderhardfinhq', 'google', 'independentcontractor', 'mend']","['@mend', 'Agendaless Consulting, Inc.', 'Co-founder @hardfinhq', 'Google', 'Independent contractor']",,3.52,132,75,39,0,21,38,21,132.0,132.0,90.0,1.0,0,48.52903
-160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,567,65,10,Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2023-02-17,2017-06-11,297,1.9063400576368876,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",2021-02-11,6,"['matthen', 'misotrnka@gerulatatechnologies', 'nipunsadvilkar@explosion', 'spate141']",2,10,"['explosion', 'gerulatatechnologies']","['@explosion', 'Gerulata Technologies']",,0.0,3,1,69,25,0,3,3,3.0,3.0,90.0,1.0,0,20.04679
-567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,566,109,31,Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2023-02-20,2014-09-28,438,1.290974258716194,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",2022-05-24,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.13,0,0,102,9,0,1,1,0.0,0.0,90.0,0.0,0,12.48188
-306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,559,154,31,Python,,panoramix: Ethereum decompiler,palkeo,2023-02-21,2020-02-17,157,3.5540417801998183,[],2020-08-22,4,"['cleanunicorn@ethereum', 'kolinko@eveem.org']",2,10,"['ethereum', 'eveem.org']","['Ethereum', 'Eveem.org']",,0.0,7,1,37,30,0,1,1,7.0,4.0,90.0,0.6,0,15.4819
-259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,555,134,48,Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2023-02-08,2018-01-23,265,2.0932112068965516,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",2022-12-08,8,"['CrackLord', 'dependabot[bot]', 'mifunetoshiro', 'pmaji@capitalone', 'stainedhat', 'theimo1221']",1,10,['capitalone'],['Capital One'],,0.06,2,2,62,2,0,0,0,2.0,0.0,90.0,0.0,0,18.55593
-576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,548,236,22,Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2023-02-21,2018-04-23,252,2.172140430351076,[],2023-02-17,170,"['TomAugspurger@microsoft', 'asford@abcellerabiologics', 'efiop@iterative', 'ianthomas23@anaconda', 'isidentical@fal-ai', 'juliospain', 'martindurant@anaconda', 'rjzamora@nvidia', 'sodre@zeroae', 'xyb']",7,10,"['abcellerabiologics', 'anaconda', 'fal-ai', 'iterative', 'microsoft', 'nvidia', 'zeroae']","['@NVIDIA', '@fal-ai', '@iterative', '@microsoft', 'AbCellera Biologics', 'Anaconda, Inc.', 'Anaconda, inc.', 'ZeroAE LLC']",,2.88,98,67,59,0,0,14,14,98.0,199.0,90.0,2.0,0,52.34155
-685,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,543,42,22,Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2023-02-21,2021-06-28,86,6.293046357615894,[],2022-12-09,2,"['mmccarty@nvidia', 'vzhurba01']",1,10,['nvidia'],['NVIDIA'],,0.19,12,9,20,2,6,5,6,12.0,24.0,90.0,2.0,0,23.00183
-883,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,540,95,17,Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2023-02-21,2020-02-15,157,3.42701722574796,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",2022-08-16,6,"['AutoViML', 'JimmyBroomfield', 'Kevin-Chen0', 'ngupta23@o9solutions', 'rsesha']",1,10,['o9solutions'],['o9 Solutions Inc.'],,0.12,3,2,37,6,0,1,1,3.0,4.0,90.0,1.3,0,19.60673
-625,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,536,264,45,Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2023-02-16,2012-08-06,550,0.9740394600207685,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",2023-02-20,100,"['DPeterK@informatics-lab', 'QuLogic', 'ajdawson', 'bblay', 'bjlittle@metoffice', 'esc24', 'lbdreyer', 'pelson', 'pp-mo@metoffice', 'rhattersley@metoffice']",2,10,"['informatics-lab', 'metoffice']","['@MetOffice ', '@informatics-lab ', 'Met Office', 'MetOffice']",,5.58,174,98,128,0,8,7,8,174.0,237.0,90.0,1.4,0,47.48923
-874,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,535,336,34,Python,https://ipython.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2023-02-20,2015-04-09,410,1.3021557719054242,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",2023-02-16,165,"['Carreau@quansight-labs', 'SylvainCorlay@quantstack', 'blink1073@mongodb', 'echarles@datalayer', 'ellisonbg@amazonwebservices', 'fperez@universityofcalifornia,berkeley.', 'github-actions[bot]', 'minrk@simularesearchlaboratory', 'pre-commit-ci[bot]', 'takluyver']",7,10,"['amazonwebservices', 'datalayer', 'mongodb', 'quansight-labs', 'quantstack', 'simularesearchlaboratory', 'universityofcalifornia,berkeley.']","['@Datalayer', '@Quansight-Labs', 'Amazon Web Services', 'MongoDB', 'QuantStack', 'Simula Research Laboratory', 'University of California, Berkeley.']",,4.37,92,61,96,0,32,14,32,92.0,225.0,90.0,2.4,0,55.46458
-516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,535,61,15,Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2023-02-21,2022-03-03,50,10.519662921348315,[],2022-08-18,1,['LeeDoYup@kakaobrain'],1,10,['kakaobrain'],['Kakao Brain'],,0.08,2,1,12,6,0,0,0,2.0,2.0,90.0,1.0,0,11.14385
-525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,527,123,30,Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2023-02-21,2011-06-19,609,0.8647444913267698,[],2023-01-23,39,"['EwoutH', 'KennethAdamMiller', 'adamjstewart@universityofillinoisaturbana-champaign', 'brentp@universityofutah', 'dependabot[bot]', 'dokai@facebook', 'hobu@hobu', 'mwtoews@gnsscience', 'sgillies@planetlabs', 'sr-murthy']",6,10,"['facebook', 'gnsscience', 'hobu', 'planetlabs', 'universityofillinoisaturbana-champaign', 'universityofutah']","['@planetlabs', 'Facebook', 'GNS Science', 'Hobu, Inc.', 'University of Illinois at Urbana-Champaign', 'University of Utah']",,0.35,6,5,142,1,2,1,2,6.0,4.0,90.0,0.7,0,37.10679
-589,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,522,87,11,JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2023-02-20,2019-05-09,197,2.6382671480144406,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",2023-02-21,38,"['921kiyo', 'AntonyMilneQB', 'bru5', 'dependabot[bot]', 'limdauto', 'rashidakanchwala', 'richardwestenra@medshr', 'snyk-bot@snyk', 'studioswong', 'tynandebold@kedro-org,quantumblacklabs']",3,10,"['kedro-org,quantumblacklabs', 'medshr', 'snyk']","['@Snyk', '@kedro-org, @quantumblacklabs', 'MedShr']",,4.06,136,98,46,0,13,14,13,136.0,141.0,90.0,1.0,0,43.35078
-665,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,521,154,36,Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2023-02-15,2020-01-20,161,3.2302922940655447,[],2020-05-01,1,"['rasbt@lightning-ai,universityofwisconsin-madison']",1,10,"['lightning-ai,universityofwisconsin-madison']","['@Lightning-AI , University of Wisconsin-Madison']",,0.0,0,0,38,34,0,0,0,0.0,0.0,90.0,0.0,0,5.58105
-359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,519,118,29,C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2023-02-19,2019-01-15,214,2.4236157438292194,[],2023-02-18,15,"['BrianSong', 'CandiedCode', 'StefanoFioravanzo@arrikto', 'atn832', 'daikeshi@spotify', 'hughmiao', 'mzinkevi', 'npoly', 'yupbank@shopify', 'zijianjoy']",3,10,"['arrikto', 'shopify', 'spotify']","['@Shopify ', 'Arrikto', 'Spotify']",,0.56,6,3,50,0,6,8,6,6.0,8.0,90.0,1.3,0,34.17193
-413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,518,87,17,Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2023-02-15,2013-08-27,495,1.0461627236006925,[],2023-02-15,29,"['Jajcus', 'bastibe', 'davidblewett', 'gesellkammer', 'jonashaag@quantco', 'mgeier', 'peircej@universityofnottingham', 'tgarc@self', 'tillahoffmann@harvardt.h.chanschoolofpublichealth', 'upsuper@canva']",5,10,"['canva', 'harvardt.h.chanschoolofpublichealth', 'quantco', 'self', 'universityofnottingham']","['@Canva ', '@Quantco', 'Harvard T.H. Chan School of Public Health', 'University of Nottingham', 'self']",,0.48,20,14,116,0,7,3,7,20.0,73.0,90.0,3.6,0,44.69617
-797,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,513,61,14,Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2023-02-21,2022-04-29,42,12.010033444816054,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",2023-02-09,6,"['CnBDM-Su@cityuniversityofhongkong', 'Eveyz', 'ZebinYang', 'ajzhanghk', 'parulnith@h2oai', 'simoncos']",2,10,"['cityuniversityofhongkong', 'h2oai']","['@h2oai', 'City University of HongKong']",,4.29,9,8,10,0,15,19,15,9.0,27.0,90.0,3.0,0,33.42323
-673,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,511,9,10,Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2023-02-21,2022-06-01,38,13.447368421052632,[],2022-12-15,2,"['brandtbucher@microsoft', 'cclauss@christianclauss']",2,10,"['christianclauss', 'microsoft']","['@microsoft', 'Christian Clauss']",,1.0,2,0,9,2,10,14,10,2.0,6.0,90.0,3.0,0,23.47966
-47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,506,86,15,Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2023-02-21,2017-06-06,298,1.6971729755630092,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",2023-02-16,13,"['Governa', 'Jedi18', 'aborecki', 'christopherpickering@atlas-bi', 'collerek@kaizentech', 'dependabot[bot]', 'dylanhogg@infocruncher', 'glentakahashi', 'macbre@automattic', 'vakhmenin']",4,10,"['atlas-bi', 'automattic', 'infocruncher', 'kaizentech']","['@atlas-bi', '@automattic', 'Infocruncher', 'KaizenTech']",,0.92,22,8,70,0,3,5,3,22.0,10.0,90.0,0.5,0,34.63214
-794,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,501,205,23,Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2023-02-18,2018-09-28,229,2.1809701492537314,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",2023-02-16,14,"['2320sharon@sacramentostate', 'KristenSplinter@unswsydney', 'SBFRF@usaceerdc-fieldresearchfacility', 'borgstad', 'chrisleaman@waterresearchlaboratory(unsw)', 'hcastrol', 'ianlturner', 'kant', 'kvos@waterresearchlaboratory']",5,10,"['sacramentostate', 'unswsydney', 'usaceerdc-fieldresearchfacility', 'waterresearchlaboratory', 'waterresearchlaboratory(unsw)']","['Sacramento State', 'UNSW Sydney', 'USACE ERDC  - Field Research Facility ', 'Water Research Laboratory', 'Water Research Laboratory (UNSW)']",,1.44,26,20,54,0,4,3,4,26.0,46.0,90.0,1.8,0,39.24157
-216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,497,68,10,Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2023-02-20,2020-01-13,162,3.0625,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",2023-02-21,27,"['BarabanovaIrina', 'Dreamlone@wiredhut', 'J3FALL', 'MorrisNein', 'YamLyubov', 'YanaPolonskaya@mail.rugroup', 'gkirgizov@itmo-nss-team', 'maypink@itmo-nss-team', 'nicl-nno@itmouniversity', 'valer1435']",4,10,"['itmo-nss-team', 'itmouniversity', 'mail.rugroup', 'wiredhut']","['@ITMO-NSS-team', 'ITMO University', 'Mail.Ru Group', 'Wiredhut']",,4.81,101,74,38,0,3,4,3,101.0,99.0,90.0,1.0,0,40.67645
-241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,492,58,17,Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2023-02-06,2021-07-10,84,5.8175675675675675,[],2022-03-27,2,['jwyang@microsoft'],1,10,['microsoft'],['Microsoft'],,0.04,0,0,20,11,0,0,0,0.0,0.0,90.0,0.0,0,7.87529
-582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,479,103,18,Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2023-02-20,2019-06-28,190,2.5116104868913856,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",2023-02-14,32,"['FischerLGLN@lgln-landesamtfürgeoinformationundlandesvermessungniedersachsen', 'RichardScottOZ@ozminerals', 'abarciauskas-bgse@developmentseed', 'drnextgis@satellogic', 'emmanuelmathot@terradue', 'fredliporace@amskepler', 'geospatial-jeff@regrowag', 'kylebarron', 'samn@upstream-tech', 'vincentsarago@developmentseed']",8,10,"['amskepler', 'developmentseed', 'lgln-landesamtfürgeoinformationundlandesvermessungniedersachsen', 'ozminerals', 'regrowag', 'satellogic', 'terradue', 'upstream-tech']","['@Terradue', '@Upstream-Tech ', '@developmentseed ', '@regrowag', '@satellogic', 'AMS Kepler', 'Development Seed', 'LGLN - Landesamt für Geoinformation und Landesvermessung Niedersachsen', 'OZ Minerals']",,2.0,36,30,44,0,0,14,14,36.0,36.0,90.0,1.0,0,44.28822
-487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,473,59,21,Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2023-02-17,2018-04-25,252,1.876984126984127,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",2022-12-09,13,"['Esteban82@institutodegeocienciasbásicas,aplicadasyambientalesdebuenosaires-igeba(universityofbuenosaires-conicet)', 'Goto15', 'JamesSample@nivanorge', 'arfon@github', 'dcslagel@codefarm', 'djhoese@spacescienceandengineeringcenter(ssec)', 'fatiando-bot@fatiando', 'jessepisel', 'leouieda@universityofliverpool', 'santisoler@fatiandoubcgifcompgeolabgeolatinas']",8,10,"['codefarm', 'fatiando', 'fatiandoubcgifcompgeolabgeolatinas', 'github', 'institutodegeocienciasbásicas,aplicadasyambientalesdebuenosaires-igeba(universityofbuenosaires-conicet)', 'nivanorge', 'spacescienceandengineeringcenter(ssec)', 'universityofliverpool']","['@NIVANorge', '@fatiando', '@fatiando @ubcgif @compgeolab @GeoLatinas', '@github', 'Code Farm LLC', 'Instituto de Geociencias Básicas, Aplicadas y Ambientales de Buenos Aires - IGEBA (University of Buenos Aires-CONICET)', 'Space Science and Engineering Center (@ssec)', 'University of Liverpool']",,0.54,6,3,59,2,1,3,1,6.0,5.0,90.0,0.8,0,32.18733
-211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,471,88,20,Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2023-02-07,2020-01-28,160,2.9411239964317573,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",2021-12-18,5,"['0xflotus', 'Finance-781', 'dependabot[bot]', 'fatihbaltaci@ddosify', 'firmai@alanturinginstitute,firmai']",2,10,"['alanturinginstitute,firmai', 'ddosify']","['@ddosify', 'Alan Turing Institute, FirmAI']",,0.0,1,0,37,14,0,0,0,1.0,0.0,90.0,0.0,0,13.09882
-329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,466,60,19,Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2023-02-17,2021-10-21,69,6.670756646216769,[],2022-07-26,3,"['GeraldCSC', 'bknyaz@samsung-saitailab,montreal', 'michaldrozdzal']",1,10,"['samsung-saitailab,montreal']","['Samsung - SAIT AI Lab, Montreal']",,0.19,0,0,16,7,0,0,0,0.0,0.0,90.0,0.0,0,9.37574
-914,ml,https://github.com/cvxgrp/pymde,,,,cvxgrp/pymde,pymde,465,26,9,Python,https://pymde.org,pymde: Minimum-distortion embedding with PyTorch,cvxgrp,2023-02-19,2020-11-29,116,3.9938650306748467,"['embedding', 'visualization', 'feature-vectors', 'machine-learning', 'dimensionality-reduction', 'graph-embedding', 'pytorch', 'cuda', 'gpu']",2022-11-20,10,"['BastianZim@arche-finanz', 'adamgayoso@ucberkeley', 'adswa@psychoinformatics-de', 'akshayka@cvxgrpcvxpy', 'angeris', 'frederikschubert@leibnizuniversitäthannover', 'kashif', 'kruus@neclabsamerica', 'rajarshi', 'theresekoch@utsouthwesternmedicalcenter']",7,10,"['arche-finanz', 'cvxgrpcvxpy', 'leibnizuniversitäthannover', 'neclabsamerica', 'psychoinformatics-de', 'ucberkeley', 'utsouthwesternmedicalcenter']","[' @psychoinformatics-de', '@arche-finanz', '@cvxgrp @cvxpy', 'Leibniz Universität Hannover', 'NEC Labs America', 'UC Berkeley', 'UT Southwestern Medical Center']",,0.25,4,1,27,3,3,9,3,4.0,10.0,90.0,2.5,0,31.36028
-497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,463,87,14,Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2023-02-19,2019-05-22,196,2.3622448979591835,[],2020-12-10,3,"['SeokjuLee@kentech', 'mcahny']",1,10,['kentech'],['KENTECH'],,0.0,2,0,46,27,0,0,0,2.0,0.0,90.0,0.0,0,9.25973
-872,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,463,17,6,Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2023-02-21,2022-04-25,43,10.696369636963697,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",2023-02-21,6,"['Asrst@dataamazon', 'dependabot[bot]', 'jaychia@lyft', 'jeevb@freenome', 'samster25@eventual-inc', 'xcharleslin']",4,10,"['dataamazon', 'eventual-inc', 'freenome', 'lyft']","['@Eventual-Inc ', '@lyft', 'Data @ Amazon', 'Freenome']",,11.98,266,227,10,0,0,28,28,265.0,139.0,90.0,0.5,0,38.73064
-437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,traceml,460,40,13,Python,,"traceml: Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.",polyaxon,2023-02-11,2016-03-25,360,1.2752475247524753,"['pandas', 'pandas-summary', 'dataframes', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-checks', 'explainable-ai', 'pytorch', 'tensorflow', 'tracking']",2023-02-14,98,"['DXist', 'dependabot[bot]', 'gzcf', 'javidgon', 'lgeiger@plumerailarq', 'mmourafiq', 'polyaxon-ci', 'polyaxon-team', 'vfdev-5@quansight', 'wbuchwalter@microsoftresearch']",3,10,"['microsoftresearch', 'plumerailarq', 'quansight']","['@Quansight', '@plumerai @larq ', 'Microsoft Research']",,1.98,0,0,84,0,0,1,1,0.0,0.0,90.0,0.0,0,33.49053
-479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,458,68,28,Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2023-02-14,2016-04-19,357,1.2824,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",2023-01-17,28,"['Hoxbro', 'ahuang11@prefect!', 'bjlittle@metoffice', 'ceball', 'jbednar@anaconda', 'jlstevens', 'jsignell@azavea', 'marqh', 'maximlt@anaconda', 'philippjfr@anaconda']",4,10,"['anaconda', 'azavea', 'metoffice', 'prefect!']","['@azavea', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Met Office', 'Prefect!']",,0.73,82,19,83,1,2,10,2,82.0,23.0,90.0,0.3,0,35.49567
-375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,453,53,11,Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2023-02-19,2019-07-25,186,2.4243119266055047,[],2021-11-06,6,"['VHRanger', 'cthoyt@harvardmedicalschool', 'kannankumar@sap', 'ldorigo']",2,10,"['harvardmedicalschool', 'sap']","['Harvard Medical School', 'SAP']",,0.0,5,2,44,16,0,3,3,5.0,4.0,90.0,0.8,0,20.1182
-742,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,451,50,13,Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2023-02-11,2020-02-22,156,2.8804744525547443,"['nlp', 'embeddings', 'visualisations']",2023-02-06,13,"['Arsilla@kpmgnetherlands', 'Ayushsunny@inviiiwardrobedoor', 'Raghibshams456', 'RensDimmendaal', 'itsabdelrahman@trivago', 'koaning@explosion', 'louisguitton@motain', 'mkaze', 'timvink', 'tttthomasssss@zalandose']",6,10,"['explosion', 'inviiiwardrobedoor', 'kpmgnetherlands', 'motain', 'trivago', 'zalandose']","['@INVIII @wardrobedoor', '@explosion', '@motain ', 'KPMG Netherlands', 'Zalando SE', 'trivago']",,0.12,1,1,36,0,1,9,1,1.0,2.0,90.0,2.0,0,32.74481
-837,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,444,109,33,Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2023-02-13,2013-09-18,492,0.9024390243902439,[],2023-02-16,30,"['Zeitsperre@ouranos', 'brendancol@makepath', 'drnextgis@satellogic', 'hawkaa@duneanalytics', 'mwtoews@gnsscience', 'ozak@southernmethodistuniversity', 'perrygeo', 'sdtaylor', 'sgoodm@aiddata', 'theroggy']",7,10,"['aiddata', 'duneanalytics', 'gnsscience', 'makepath', 'ouranos', 'satellogic', 'southernmethodistuniversity']","['@aiddata', '@duneanalytics', '@makepath ', '@satellogic', 'GNS Science', 'Ouranos', 'Southern Methodist University']",,0.38,29,21,115,0,2,2,2,29.0,32.0,90.0,1.1,0,41.49109
-573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,443,112,52,Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2023-01-20,2018-01-10,267,1.6591760299625469,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",2020-11-19,15,"['Geoyi@regrow', 'PallawiSinghal@heretechnologies', 'achyutjoshi', 'drewbo@cloud-gov(work)+personalprojects;', 'giswqs@universityoftennessee', 'jreiberkyle@planetlabs', 'martham93@developmentseed', 'palacima', 'vincentsarago@developmentseed', 'wronk']",6,10,"['cloud-gov(work)+personalprojects;', 'developmentseed', 'heretechnologies', 'planetlabs', 'regrow', 'universityoftennessee']","['@cloud-gov (work) + personal projects; ', '@developmentseed ', '@planetlabs ', 'Development Seed', 'Here Technologies ', 'Regrow', 'University of Tennessee']",,0.0,0,0,62,27,0,3,3,0.0,0.0,90.0,0.0,0,21.67001
-844,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,442,43,10,Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2023-02-21,2015-12-25,373,1.1827217125382263,"['multiprocessing-library', 'python']",2023-02-17,17,"['aabadie@inria', 'albertcthomas', 'basnijholt@microsoft', 'glemaitre@scikit-learninriafoundation', 'haim0n@private', 'jeremiedbb', 'ogrisel@inria', 'pierreglaser@ucl', 'rth', 'tomMoral@inriasaclay-parietalteam']",6,10,"['inria', 'inriasaclay-parietalteam', 'microsoft', 'private', 'scikit-learninriafoundation', 'ucl']","['@Microsoft', 'INRIA Saclay - Parietal team', 'Inria', 'Private', 'Scikit-learn @ Inria foundation', 'UCL']",,0.35,15,9,87,0,0,5,5,15.0,24.0,90.0,1.6,0,39.78378
-913,util,https://github.com/methexis-inc/terminal-copilot,,,,methexis-inc/terminal-copilot,terminal-copilot,439,23,6,Python,,terminal-copilot: A smart terminal assistant that helps you find the right command.,methexis-inc,2023-02-21,2022-12-11,10,42.0958904109589,[],2023-01-25,8,"['2mawi2', 'EdwardTheLegend', 'JoelKronander', 'cedarbaum', 'instance-id@instance.id', 'kafischer@stanforduniversity', 'rebelzion', 'rmax@paige.ai']",3,10,"['instance.id', 'paige.ai', 'stanforduniversity']","['Paige.AI', 'Stanford University', 'instance.id']",,1.42,39,25,2,1,1,6,1,39.0,71.0,90.0,1.8,0,25.77479
-292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,437,45,8,Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2023-02-17,2020-11-21,117,3.7168894289185905,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",2022-09-27,16,"['danpalmer@google', 'dependabot[bot]', 'hamelsmu@github', 'hwine', 'jph00@fastai', 'jrieke@streamlit', 'lfdebrux@alphagov', 'mszhanyi@microsoft', 'muellerzr@huggingface', 'rshk']",7,10,"['alphagov', 'fastai', 'github', 'google', 'huggingface', 'microsoft', 'streamlit']","['@Google', '@HuggingFace', '@alphagov', '@fastai ', '@github ', '@streamlit', 'Microsoft']",,1.08,2,0,27,5,6,9,6,2.0,3.0,90.0,1.5,0,31.1749
-863,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,437,80,44,Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2023-02-15,2018-01-15,266,1.6410944206008584,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",2023-02-20,71,"['andriisoldatenko', 'andscoop', 'bote795', 'cwurtz', 'danielhoherd@astronomer', 'jpweber@astronomer(formerlyheptiovmware)', 'pgvishnuram@astronomer', 'schnie@astronomer', 'sjmiller609@coredb', 'tedmiston@mandolin-dev']",4,10,"['astronomer', 'astronomer(formerlyheptiovmware)', 'coredb', 'mandolin-dev']","['@astronomer', '@astronomer ', '@astronomer (formerly @heptio @vmware)', '@mandolin-dev', 'Astronomer', 'CoreDB']",,8.94,77,74,62,0,28,68,28,77.0,55.0,90.0,0.7,0,47.90965
-188,math,https://github.com/dit/dit,,,,dit/dit,dit,429,78,24,Python,http://docs.dit.io,dit: Python package for information theory.,dit,2023-02-21,2013-09-29,490,0.8747451208855229,"['python', 'information-theory']",2022-07-25,20,"['Autoplectic', 'Ejjaffe', 'agrif', 'artemyk', 'chebee7i', 'feeds@phdstudentepfl', 'marcharper@google', 'robince', 'stsievert', 'volpatto@esss']",3,10,"['esss', 'google', 'phdstudentepfl']","['@ESSS', 'Google', 'PhD student @ EPFL']",,0.19,1,0,114,7,1,3,1,1.0,3.0,90.0,3.0,0,29.64526
-481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,423,125,78,Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2023-02-17,2013-08-15,496,0.8513513513513513,[],2020-05-11,20,"['Eh2406@amazon', 'bridwell', 'daradib@applemontechnologies', 'fscottfoti@populus-aimapcraftlabsoaklandanalytics', 'gonzalobenegas', 'janowicz', 'jiffyclub@populus-ai', 'pksohn@google', 'smmaurer@urbansim', 'waddell']",6,10,"['amazon', 'applemontechnologies', 'google', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'urbansim']","['@Amazon ', '@populus-ai ', '@populus-ai @mapcraftlabs @oaklandanalytics  ', 'Applemon Technologies', 'Google', 'UrbanSim Inc.']",,0.0,1,0,116,34,0,1,1,1.0,0.0,90.0,0.0,0,22.63401
-486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,421,151,21,Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2023-02-16,2018-02-20,261,1.6121444201312911,"['spatial-data', 'raster', 'vector', 'python', 'education']",2021-12-20,43,"['PowerChell@radiantearth', 'annaspiers', 'arfon@github', 'betatim@nvidia', 'mbjoseph@silviaterra', 'mgraber@nycplanning', 'nkorinek', 'pyup-bot@pyupio', 'sgillies@planetlabs', 'windnage@nationalsnowandicedatacenteratcu,boulder']",8,10,"['github', 'nationalsnowandicedatacenteratcu,boulder', 'nvidia', 'nycplanning', 'planetlabs', 'pyupio', 'radiantearth', 'silviaterra']","['@NYCPlanning', '@SilviaTerra', '@github', '@planetlabs', '@pyupio', '@radiantearth ', 'National Snow and Ice Data Center at CU, Boulder', 'Nvidia ']",,0.0,57,49,61,14,0,7,7,58.0,100.0,90.0,1.7,0,38.14719
-472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,413,25,11,Python,,google-research/byt5,google-research,2023-02-15,2021-05-26,91,4.538461538461538,[],2022-03-02,2,"['lintingxue', 'nconstant-google']",0,10,[],[],,0.02,0,0,21,12,0,0,0,0.0,0.0,90.0,0.0,0,4.35923
-705,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,413,18,9,Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2023-02-01,2020-11-17,118,3.4957678355501813,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",2022-07-04,4,"['AlexIoannides@bodywork-mllloydsbankinggroup', 'Marios85@bodyworkmachinelearning']",2,10,"['bodywork-mllloydsbankinggroup', 'bodyworkmachinelearning']","['@bodywork-ml @lloydsbankinggroup', 'Bodywork Machine Learning']",,2.35,0,0,28,8,0,26,26,0.0,0.0,90.0,0.0,0,20.64757
-786,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,410,23,7,Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2023-02-20,2021-11-18,65,6.225596529284165,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",2023-02-20,13,"['LittleFox94@anexia,anexia-it', 'Schille@blueshoe', 'SteinRobert@blueshoe', 'buschNT', 'cappuc', 'dependabot[bot]', 'georgkrause', 'kianmeng', 'tschale@blueshoeunikubehq', 'vvvityaaa']",3,10,"['anexia,anexia-it', 'blueshoe', 'blueshoeunikubehq']","['@Blueshoe ', '@Blueshoe @unikubehq ', '@anexia, @anexia-it', 'Blueshoe']",,7.23,80,68,15,0,41,42,41,80.0,139.0,90.0,1.7,0,40.53883
-275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,406,62,16,Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2023-02-19,2021-06-28,86,4.7052980132450335,[],2022-12-01,6,"['dudzicz@tokenflowinsights', 'kchojn@py-world', 'piotr-rudnik', 'rmaganza@tokenflowinsights', 'tmierzwa@tokenflowinsights', 'wolololol']",2,10,"['py-world', 'tokenflowinsights']","['@TokenFlowInsights ', 'Py-World', 'Token Flow Insights']",,1.08,12,11,20,3,12,22,12,12.0,10.0,90.0,0.8,0,26.64022
-722,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,405,46,10,Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2023-02-15,2013-10-16,488,0.8299180327868853,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",2022-11-15,14,"['Gistbatch@technicaluniversityofmunich', 'alanjds', 'ampolloreno@universityofcoloradoboulder', 'art049@codspeedhq', 'cbrnr@universityofgraz', 'marxin', 'noxdafox@getcujo', 'sam-harding', 'villind', 'wimglenn']",5,10,"['codspeedhq', 'getcujo', 'technicaluniversityofmunich', 'universityofcoloradoboulder', 'universityofgraz']","['@CodSpeedHQ ', '@getCUJO', 'Technical University of Munich', 'University of Colorado Boulder', 'University of Graz']",,0.98,2,1,114,3,4,2,4,2.0,1.0,90.0,0.5,0,31.50469
-803,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,404,314,15,Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2023-02-20,2019-11-08,171,2.3527454242928454,[],2023-02-20,182,"['NathanielRN', 'codeboten@lightstep', 'lzchen@microsoftcorporation', 'mariojonke', 'mauriciovasquezbernal@microsoft(kinvolk)', 'nemoshlag@epsagon', 'ocelotl', 'ofek@datadog', 'owais@splunk', 'srikanthccv@signoz.io']",7,10,"['datadog', 'epsagon', 'lightstep', 'microsoft(kinvolk)', 'microsoftcorporation', 'signoz.io', 'splunk']","['@datadog', '@microsoft (@kinvolk)', '@splunk', 'Epsagon', 'Lightstep', 'Microsoft Corporation', 'signoz.io']",,6.08,300,171,40,0,10,11,10,299.0,363.0,90.0,1.2,0,52.15824
-254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,401,87,21,Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2023-02-20,2020-08-12,132,3.037878787878788,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",2023-02-17,25,"['OctoberChang@amazon', 'Patrick-H-Chen', 'bhl00@sfhacksdubhacks', 'dependabot[bot]', 'hallogameboy@amazonsearchandai', 'jiong-zhang', 'nishant4995', 'rofuyu', 'weiliw-amz', 'yaushian']",3,10,"['amazon', 'amazonsearchandai', 'sfhacksdubhacks']","['@sfhacks @dubhacks', 'Amazon', 'Amazon Search and AI']",,1.12,44,42,31,0,2,2,2,44.0,21.0,90.0,0.5,0,34.49137
-577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,395,51,10,Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2023-02-01,2015-04-09,410,0.9614047287899861,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",2023-01-11,33,"['bsipocz@caltech/ipac', 'ceball', 'fangohr@mpsd&universityofsouthampton', 'gliptak', 'kanderso-nrel@nationalrenewableenergylaboratory', 'maxalbert', 'minrk@simularesearchlaboratory', 'takluyver', 'vidartf', 'wence-']",4,10,"['caltech/ipac', 'mpsd&universityofsouthampton', 'nationalrenewableenergylaboratory', 'simularesearchlaboratory']","['Caltech/IPAC', 'MPSD & University of Southampton', 'National Renewable Energy Laboratory', 'Simula Research Laboratory']",,0.25,9,7,96,1,0,2,2,9.0,10.0,90.0,1.1,0,35.67526
-841,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,395,19,7,Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2023-02-15,2022-10-22,17,22.479674796747968,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",2022-11-18,1,['carlospuenteg'],0,10,[],[],,0.77,1,0,4,3,13,40,13,1.0,1.0,90.0,1.0,0,11.56456
-528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,390,79,27,Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2023-01-27,2018-02-02,263,1.4788732394366197,"['multimodality', 'machine-learning', 'knowledge-base-construction']",2021-06-23,14,"['HiromuHota@https://snorkel.ai/', 'KenSugimoto@hitachiamerica,ltd.', 'YasushiMiyata', 'annelhote@mesr', 'bhancock8@snorkel-ai', 'j-rausch', 'lukehsiao@numbersstationai', 'payalbajaj', 'senwu', 'wajdikhattel@think-it-labs']",6,10,"['hitachiamerica,ltd.', 'https://snorkel.ai/', 'mesr', 'numbersstationai', 'snorkel-ai', 'think-it-labs']","['@NumbersStationAI ', '@Think-iT-Labs', '@snorkel-ai ', 'Hitachi America, Ltd.', 'MESR', 'https://snorkel.ai/']",,0.0,0,0,62,20,0,6,6,0.0,0.0,90.0,0.0,0,23.19624
-185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,389,53,10,Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2023-02-16,2020-08-17,131,2.9630032644178455,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",2022-12-20,3,"['WillianFuks', 'glentakahashi', 'kjappelbaum@epfl']",1,10,['epfl'],['EPFL'],,0.21,6,5,31,2,8,6,8,6.0,15.0,90.0,2.5,0,25.18055
-561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,386,67,14,Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2023-02-20,2016-09-08,336,1.1458863443596268,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",2023-02-06,20,"['EwoutH', 'choldgraf@ucberkeley', 'darribas', 'dependabot[bot]', 'hugovk@nordsoftware', 'jGaboardi@ornl', 'jorisvandenbossche', 'ljwolf@geogbristol', 'martinfleis', 'ocefpaf']",4,10,"['geogbristol', 'nordsoftware', 'ornl', 'ucberkeley']","['@geogbristol ', 'Nord Software', 'ORNL', 'UC Berkeley']",,0.15,14,11,79,0,1,1,1,14.0,12.0,90.0,0.9,0,34.84159
-929,util,https://github.com/heuer/segno,,,,heuer/segno,segno,385,42,11,Python,https://pypi.org/project/segno/,segno: Python QR Code and Micro QR Code encoder,heuer,2023-02-19,2016-08-04,341,1.1262014208106979,"['qrcode', 'barcode', 'micro-qrcode', 'matrix-barcode', 'qr-code', 'segno', 'python', 'qr-generator', 'iso-18004', 'structured-append', 'python-qrcode', 'micro-qr-code']",2022-12-10,9,"['DerBiasto', 'barbashovtd', 'bitcoinhodler', 'christian-oudard', 'eduardomazolini@intera', 'heuer', 'jayaddison', 'neycyanshi', 'stefanoborini@astrazenecauk']",2,10,"['astrazenecauk', 'intera']","['AstraZeneca UK', 'Intera']",,0.81,3,1,80,2,1,7,1,3.0,4.0,90.0,1.3,0,27.05394
-12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,385,145,53,Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2023-02-05,2017-10-24,278,1.384180790960452,"['python', 'machine-learning', 'dialogflow']",2023-02-16,34,"['busunkim96@googleapis', 'crwilcox@googlecloud', 'dandhlee@googlecloudplatform', 'galz10@google', 'gcf-owl-bot[bot]', 'lukesneeringer@highsignalsystems', 'parthea@google', 'release-please[bot]', 'renovate-bot@mend', 'yoshi-automation@googleapis']",6,10,"['google', 'googleapis', 'googlecloud', 'googlecloudplatform', 'highsignalsystems', 'mend']","['@GoogleCloudPlatform', '@googleapis', '@mend', 'Google', 'Google ', 'Google Cloud', 'High Signal Systems']",,2.12,29,28,65,0,15,9,15,29.0,31.0,90.0,1.1,0,44.35539
-496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,384,23,7,Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2023-02-20,2022-01-24,56,6.822335025380711,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",2022-11-29,3,['jlyang1990@linkedincorporation'],1,10,['linkedincorporation'],['LinkedIn Corporation'],,0.15,6,3,13,3,2,3,2,6.0,15.0,90.0,2.5,0,20.11946
-331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,384,21,9,Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2023-02-17,2021-11-08,67,5.707006369426751,"['recommender-system', 'machine-learning', 'qa-automation']",2023-01-26,7,"['briankosw', 'jacopotagliabue', 'nsbits', 'patrickjohncyh', 'vinid@stanforduniversity']",1,10,['stanforduniversity'],['Stanford University'],,0.65,11,3,16,1,0,5,5,11.0,4.0,90.0,0.4,0,22.54706
-492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,379,88,66,Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2023-02-10,2017-10-06,280,1.3501272264631043,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",2023-02-15,21,"['DanSchoppe', 'benjaminleighton@csiro', 'chrieke@up42', 'emmanuelmathot@terradue', 'fredliporace@amskepler', 'kant', 'kylebarron', 'samsammurphy@ecmwf', 'sgillies@planetlabs', 'vincentsarago@developmentseed']",7,10,"['amskepler', 'csiro', 'developmentseed', 'ecmwf', 'planetlabs', 'terradue', 'up42']","['@Terradue', '@developmentseed ', '@planetlabs', '@up42', 'AMS Kepler', 'CSIRO', 'ECMWF']",,1.13,19,16,65,0,0,23,23,19.0,6.0,90.0,0.3,0,41.11773
-747,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,378,93,17,Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2023-02-18,2021-08-17,79,4.776173285198556,[],2023-01-09,10,"['OriolAbril', 'aloctavodia@imasl-conicet', 'canyon289', 'dependabot[bot]', 'erocarrera', 'ikarosilva@philips', 'jmshea@universityofflorida', 'junpenglao@google', 'paw-lu']",4,10,"['google', 'imasl-conicet', 'philips', 'universityofflorida']","['@google ', 'IMASL-CONICET', 'Philips', 'University of Florida']",,0.52,8,3,18,1,0,0,0,8.0,6.0,90.0,0.8,0,25.72526
-756,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,372,32,5,Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2023-02-20,2022-09-13,23,16.074074074074073,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",2023-01-09,1,['samuela'],0,10,[],[],,0.46,5,1,5,1,0,0,0,5.0,10.0,90.0,2.0,0,11.6321
-335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,371,120,12,Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2023-02-21,2021-11-14,66,5.58494623655914,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",2022-07-16,2,"['KittyBorgX', 'mrdbourke']",0,10,[],[],,0.06,0,0,15,7,0,0,0,0.0,0.0,90.0,0.0,0,4.83454
-49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,367,59,11,Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2023-02-14,2015-08-03,394,0.9307971014492754,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository', 'readonly']",2023-02-14,374,"['alex', 'amauryfa', 'antocuni', 'bdkearns', 'cfbolz', 'fijal@pypy,baroquesoftware', 'mattip@quansightlabs', 'mwhudson@canonicalltd', 'pedronis', 'rlamy']",3,10,"['canonicalltd', 'pypy,baroquesoftware', 'quansightlabs']","['@CanonicalLtd', 'PyPy, baroquesoftware', 'Quansight Labs']",,11.08,1,0,92,0,0,22,22,1.0,0.0,90.0,0.0,0,44.61147
-560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,364,61,14,Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2023-02-21,2019-04-16,201,1.8096590909090908,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",2023-02-07,29,"['RichardScottOZ@ozminerals', 'alexamici@bopen', 'cheginit@universityofhouston', 'davidbrochart@quantstack', 'mraspaud@smhi', 'mwtoews@gnsscience', 'raybellwaves@dtn', 'remi-braun@icube-sertit', 'scottyhq@universityofwashington,uwescience', 'snowman2@corteva']",10,10,"['bopen', 'corteva', 'dtn', 'gnsscience', 'icube-sertit', 'ozminerals', 'quantstack', 'smhi', 'universityofhouston', 'universityofwashington,uwescience']","['@QuantStack', '@bopen', '@corteva ', 'DTN', 'GNS Science', 'ICube-SERTIT', 'OZ Minerals', 'SMHI', 'University of Houston', 'University of Washington, @uwescience']",,2.27,29,19,47,0,14,16,14,29.0,58.0,90.0,2.0,0,46.5875
-586,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,364,47,16,Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2023-02-21,2018-03-30,255,1.423463687150838,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",2023-01-09,10,"['AleFeli', 'PratyushTripathy', 'Thaulino', 'amorfinv', 'gregmaya', 'jGaboardi@ornl', 'kopytjuk', 'martinfleis', 'matthew-law', 'phuismann@gas-undwärme-institutessen']",2,10,"['gas-undwärme-institutessen', 'ornl']","['Gas- und Wärme-Institut Essen', 'ORNL']",,0.98,26,11,60,1,2,3,2,26.0,64.0,90.0,2.5,0,32.83054
-522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,361,40,16,Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2023-02-14,2019-06-10,193,1.8677014042867701,[],2022-12-14,13,"['0phoff@eavise,kuleuven', 'brendan-ward@astutespruce', 'caspervdw@nelen&schuurmans', 'chaitan94@adonmo(adonmo)', 'jamesmyatt@capgeminiengineering', 'jorisvandenbossche', 'martinfleis', 'martinlackner@tuwien', 'mwtoews@gnsscience', 'snowman2@corteva']",8,10,"['adonmo(adonmo)', 'astutespruce', 'capgeminiengineering', 'corteva', 'eavise,kuleuven', 'gnsscience', 'nelen&schuurmans', 'tuwien']","['@corteva ', 'Adonmo (@adonmo)', 'Astute Spruce, LLC', 'Capgemini Engineering', 'EAVISE, KU Leuven', 'GNS Science', 'Nelen & Schuurmans', 'TU Wien']",,0.19,19,18,45,2,2,5,2,19.0,12.0,90.0,0.6,0,33.1215
-519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,360,50,14,Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2023-01-20,2016-03-28,360,0.9992069785884219,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",2022-10-14,15,"['JingMatrix', 'anjiro@universityofcopenhagen', 'eboix', 'jskrzypek@resonance', 'mjd3@ambirobotics', 'mozzsa', 'poke1024@leipziguniversity', 'sanatladkat', 'timsavage@westpac', 'wolfv@prefix.devgmbh']",6,10,"['ambirobotics', 'leipziguniversity', 'prefix.devgmbh', 'resonance', 'universityofcopenhagen', 'westpac']","['@resonance ', 'Ambi Robotics', 'Leipzig University', 'University of Copenhagen', 'Westpac', 'prefix.dev GmbH']",,0.08,4,0,84,4,0,0,0,4.0,1.0,90.0,0.2,0,26.17292
-499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,360,72,20,Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2023-02-20,2020-07-10,136,2.633228840125392,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",2021-07-26,2,['zengyh1900@openmmlab'],1,10,['openmmlab'],['OpenMMLab'],,0.0,0,0,32,19,0,0,0,0.0,0.0,90.0,0.0,0,7.66416
-563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,357,35,23,Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2023-02-18,2020-02-13,157,2.2615384615384615,[],2023-01-23,17,"['DahnJ@sylveraio', 'TomAugspurger@microsoft', 'fbunt', 'gadomski@element84', 'jorisvandenbossche', 'jsignell@azavea', 'martinfleis', 'raybellwaves@dtn', 'slumnitz@europeanspaceagency,esrin', 'tastatham@mr']",7,10,"['azavea', 'dtn', 'element84', 'europeanspaceagency,esrin', 'microsoft', 'mr', 'sylveraio']","['@Element84', '@SylveraIO', '@azavea', '@microsoft', 'DTN', 'European Space Agency, ESRIN', 'Mr']",,0.44,19,10,37,1,7,4,7,19.0,30.0,90.0,1.6,0,37.5218
-902,util,https://github.com/ofek/pypinfo,,,,ofek/pypinfo,pypinfo,356,31,14,Python,,pypinfo: Easily view PyPI download statistics via Google's BigQuery.,ofek,2023-02-20,2017-05-13,301,1.1804831833254381,"['python', 'bigquery', 'pypi', 'statistics']",2022-11-30,9,"['JulienPalard', 'bskinn@openteams', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'jwilk', 'mayeut', 'ofek@datadog', 'rahiel@kabisa', 'tswast@google']",6,10,"['datadog', 'google', 'kabisa', 'nordsoftware', 'openteams', 'pioneervalleybooks']","['@datadog', '@kabisa', 'Google', 'Nord Software', 'OpenTeams', 'Pioneer Valley Books']",,0.29,2,1,70,3,0,4,4,1.0,4.0,90.0,4.0,0,34.33698
-510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,355,57,17,Python,,"keras_cv_attention_models: Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2023-02-21,2021-08-02,81,4.367311072056239,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",2023-02-18,4,"['AminHP@koala-team', 'awsaf49@wandb', 'dcleres@resmonicsag', 'leondgarse']",3,10,"['koala-team', 'resmonicsag', 'wandb']","['@koala-team', '@wandb', 'Resmonics AG']",,6.31,9,7,19,0,21,67,21,9.0,31.0,90.0,3.4,0,36.81393
-237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,349,64,13,Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022),salesforce,2023-02-17,2021-08-25,78,4.4743589743589745,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",2023-01-17,6,"['Emerald01@salesforceresearch', 'blchu', 'sunil-s@salesforceresearch', 'svc-scm']",1,10,['salesforceresearch'],['Salesforce Research'],,2.29,13,13,18,1,2,1,2,13.0,18.0,90.0,1.4,0,25.64781
-978,ml,https://github.com/tanelp/tiny-diffusion,,,,tanelp/tiny-diffusion,tiny-diffusion,348,21,6,Jupyter Notebook,,tiny-diffusion: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.,tanelp,2023-02-19,2023-01-13,5,60.9,[],2023-02-19,1,['tanelp'],0,10,[],[],,0.06,1,1,1,0,0,0,0,1.0,0.0,90.0,0.0,0,4.67185
-692,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,348,55,13,Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2023-02-10,2019-06-27,190,1.8233532934131738,[],2021-06-23,7,"['PiotrCzapla', 'RJT1990', 'VXenomac@xyzlab', 'mkardas', 'rstojnic', 'timbmg@ukplab,tudarmstadt']",2,10,"['ukplab,tudarmstadt', 'xyzlab']","['@xyzlab ', 'UKP Lab, TU Darmstadt']",,0.0,1,0,44,20,0,0,0,1.0,0.0,90.0,0.0,0,13.4829
-340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,346,30,9,Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2023-02-10,2017-06-03,298,1.1588516746411484,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",2020-09-06,2,"['Aareon', 'FedericoCeratto@ooni/torproject/debian']",1,10,['ooni/torproject/debian'],['OONI / Tor Project / Debian'],,0.0,0,0,70,30,0,0,0,0.0,0.0,90.0,0.0,0,8.46859
-848,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,346,60,117,Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2023-02-19,2014-02-12,471,0.7346072186836518,"['satellite', 'pxm', 'imagery']",2021-10-22,20,"['brendan-ward@astutespruce', 'daniel-j-h@robofarmio', 'dnomadb', 'fxjung@tudresden', 'kapadia@planetlabs', 'perrygeo', 'pratikyadav@mapbox', 'samsammurphy@ecmwf', 'sgillies@planetlabs', 'youngpm']",6,10,"['astutespruce', 'ecmwf', 'mapbox', 'planetlabs', 'robofarmio', 'tudresden']","['@planetlabs', '@planetlabs ', '@robofarmio ', 'Astute Spruce, LLC', 'ECMWF', 'Mapbox', 'TU Dresden']",,0.0,0,0,110,16,0,4,4,0.0,0.0,90.0,0.0,0,25.43303
-158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,345,38,15,Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2023-02-06,2020-02-26,156,2.2115384615384617,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",2022-11-29,15,"['MSeal@noteable-io', 'alonme', 'bensenberner@doordash', 'dav009', 'fcollonval@quantstack', 'lfunderburk@seaspancorporation', 'nastra@tabular-io', 'rohitsanj@noteable-io', 'ronnie-llamado', 'willingc@willingconsulting']",6,10,"['doordash', 'noteable-io', 'quantstack', 'seaspancorporation', 'tabular-io', 'willingconsulting']","['@QuantStack', '@noteable-io', '@tabular-io', 'DoorDash', 'Seaspan Corporation', 'Willing Consulting']",,0.04,11,2,36,3,0,5,5,11.0,8.0,90.0,0.7,0,30.6549
-684,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,344,118,16,Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2023-02-20,2013-01-05,528,0.6508108108108108,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",2023-01-03,45,"['MiWeiss@universitàdellasvizzeraitaliana(testingautomated-usi)', 'Phyks', 'bcbnz', 'cao@ruhruniversitybochum', 'drakeguan@kkstream', 'flopraden@quicksign', 'grochmal', 'michaelfruth@universityofpassau', 'omangin', 'sciunto@paris-saclayuniversity']",6,10,"['kkstream', 'paris-saclayuniversity', 'quicksign', 'ruhruniversitybochum', 'universityofpassau', 'universitàdellasvizzeraitaliana(testingautomated-usi)']","['KKStream', 'Paris-Saclay University', 'QuickSign', 'Ruhr University Bochum', 'University of Passau', 'Università della Svizzera Italiana (@testingautomated-usi)']",,0.65,12,9,123,2,2,2,2,12.0,9.0,90.0,0.8,0,37.86279
-464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,341,54,9,Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2023-01-30,2018-04-15,253,1.3455467869222097,[],2022-07-09,8,"['Jabb0', 'arlenk', 'dmarx@stability.ai,eleuther.ai', 'lolamathematician', 'melaniewalsh', 'mental32@iworkoncompilersandstuff.', 'robhawkins', ""wassname@i'mjustaguywholikestomachinelearn""]",3,10,"[""i'mjustaguywholikestomachinelearn"", 'iworkoncompilersandstuff.', 'stability.ai,eleuther.ai']","['I work on compilers and stuff.', ""I'm just a guy who likes to machine learn"", 'Stability.ai, Eleuther.ai']",,0.04,5,1,59,8,0,0,0,5.0,8.0,90.0,1.6,0,23.36265
-664,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,339,179,18,Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2023-02-18,2020-08-06,132,2.5516129032258066,[],2020-12-03,1,"['rasbt@lightning-ai,universityofwisconsin-madison']",1,10,"['lightning-ai,universityofwisconsin-madison']","['@Lightning-AI , University of Wisconsin-Madison']",,0.0,0,0,31,27,0,0,0,0.0,0.0,90.0,0.0,0,5.64316
-719,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,336,132,15,JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2023-02-17,2018-03-07,259,1.2972972972972974,[],2023-02-20,11,"['ElliotSalisbury', 'PolarNick239@agisoft-', 'bw4sz@weecology', 'cbudac-fwig', 'davidnyberg', 'dingyif@rbccapitalmarkets', 'dwaipayan05', 'ethanwhite@weecology,univofflorida', 'henrykironde@universityofflorida']",5,10,"['agisoft-', 'rbccapitalmarkets', 'universityofflorida', 'weecology', 'weecology,univofflorida']","['@agisoft-llc ', '@weecology ', '@weecology, Univ of Florida ', 'RBC Capital Markets', 'University of Florida']",,0.4,26,7,60,0,0,13,13,26.0,52.0,90.0,2.0,0,39.39703
-943,sim,https://github.com/crflynn/stochastic,,,,crflynn/stochastic,stochastic,331,64,15,Python,http://stochastic.readthedocs.io/en/stable/,stochastic: Generate realizations of stochastic processes in python.,crflynn,2023-02-13,2017-02-17,313,1.0551001821493624,"['stochastic-processes', 'stochastic', 'stochastic-differential-equations', 'probability', 'stochastic-volatility-models', 'stochastic-simulation-algorithm']",2022-07-12,7,"['Anna-Strakovskaia', 'Gabinou', 'JJJerome', 'MichaelHogervorst', 'anntzer', 'crflynn', 'firefly-cpp']",0,10,[],[],,0.06,2,0,73,7,1,0,1,2.0,0.0,90.0,0.0,0,13.29685
-745,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,329,75,14,Python,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2023-02-07,2010-09-30,646,0.508613074204947,"['python', 'wrapper', 'blosc', 'compression']",2023-01-11,43,"['DimitriPapadopoulos@cea', 'FrancescAlted@francescalted', 'esc@anaconda', 'hmaarrfk@californiainstituteoftechnology', 'keszybz@redhat', 'lgarrison@scientificcomputingcore,flatironinstitute', 'oscargm98', 'robbmcleod@hitachihigh-techcanada', 'sdvillal', 'thewtex@kitware']",8,10,"['anaconda', 'californiainstituteoftechnology', 'cea', 'francescalted', 'hitachihigh-techcanada', 'kitware', 'redhat', 'scientificcomputingcore,flatironinstitute']","['@FrancescAlted', '@Kitware', 'Anaconda Inc.', 'CEA', 'California Institute of Technology', 'Hitachi High-tech Canada Inc.', 'Red Hat', 'Scientific Computing Core, Flatiron Institute']",,0.96,25,23,151,1,1,4,1,25.0,26.0,90.0,1.0,0,41.06758
-727,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,328,20,22,JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2023-02-18,2021-07-27,82,3.9930434782608697,[],2023-02-15,8,"['cclauss@christianclauss', 'cpsievert@rstudio', 'fpgmaas@freelance', 'gregswinehart', 'jcheng5@rstudio', 'jonmoore', 'schloerke@rstudio', 'wch@posit-pbc']",4,10,"['christianclauss', 'freelance', 'posit-pbc', 'rstudio']","['@posit-pbc', '@rstudio', '@rstudio ', 'Christian Clauss', 'Freelance']",,9.02,30,11,19,0,8,7,8,30.0,22.0,90.0,0.7,0,35.50042
-364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,326,146,39,Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2023-02-14,2018-09-03,233,1.3974280465401103,[],2021-08-26,41,"['Jeffwan@bytedance', 'abhi-g@google', 'hamedhsn@playstation', 'jinchihe@ibm', 'jlewi', 'karthikv2k@google', 'r2d4', 'rpasricha', 'wbuchwalter@microsoftresearch', 'xauthulei@ibm']",5,10,"['bytedance', 'google', 'ibm', 'microsoftresearch', 'playstation']","['@google ', 'Bytedance', 'Google', 'IBM', 'Microsoft Research', 'Playstation']",,0.0,0,0,54,18,0,1,1,0.0,0.0,90.0,0.0,0,22.96074
-500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,325,147,19,Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2023-02-18,2020-11-18,118,2.7542372881355934,[],2022-11-21,6,"['enakai00', 'lakshmanok', 'martin-gorner@google', 'ryangillard']",1,10,['google'],['Google'],,0.08,1,0,28,3,0,0,0,1.0,1.0,90.0,1.0,0,17.18696
-960,nlp,https://github.com/cqcl/lambeq,,,,cqcl/lambeq,lambeq,323,70,25,Python,https://cqcl.github.io/lambeq,lambeq: A high-level Python library for Quantum Natural Language Processing,cqcl,2023-02-18,2021-10-10,71,4.522,[],2023-01-09,8,"['KentaroAOKI', 'Thommy257', 'dimkart', 'ianyfan', 'kinianlo', 'y-richie-y']",0,10,[],[],,0.19,6,3,17,1,9,9,9,6.0,10.0,90.0,1.7,0,22.38168
-594,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,320,261,30,Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2023-02-20,2012-01-13,579,0.5519960571710202,[],2023-02-20,140,"['JuergenWeichand', 'bradh', 'cehbrecht', 'daf', 'huard@ouranos', 'jachym@opengeolabs,maptiler', 'kalxas@opensourcegeospatialfoundation', 'kwilcox@axiom-data-science', 'sgillies@planetlabs', 'tomkralidis@geopythonwmo-imopengeospatial']",6,10,"['axiom-data-science', 'geopythonwmo-imopengeospatial', 'opengeolabs,maptiler', 'opensourcegeospatialfoundation', 'ouranos', 'planetlabs']","['@OpenGeoLabs , @maptiler ', '@axiom-data-science ', '@geopython @wmo-im @opengeospatial', '@planetlabs', 'Open Source Geospatial Foundation', 'Ouranos']",,1.1,27,14,135,0,4,7,4,27.0,39.0,90.0,1.4,0,47.00517
-967,ml-dl,https://github.com/suanrong/sdne,,,,suanrong/sdne,SDNE,310,124,10,Python,http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding,SDNE: This is a implementation of SDNE (Structural Deep Network embedding),suanrong,2023-01-04,2016-11-30,325,0.9538461538461539,[],2021-09-10,6,['suanrong@tsinghuauniversity'],1,10,['tsinghuauniversity'],['Tsinghua University'],,0.0,0,0,76,18,0,0,0,0.0,0.0,90.0,0.0,0,12.2092
-788,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,306,98,6,Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2023-02-16,2020-04-12,149,2.0478011472275335,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",2023-01-18,2,"['ianozsvald@http://morconsulting.com/', 'mynameisfiber@digital-witness-lab']",2,10,"['digital-witness-lab', 'http://morconsulting.com/']","['@digital-witness-lab ', 'http://morconsulting.com/']",,0.02,0,0,35,1,0,0,0,0.0,0.0,90.0,0.0,0,15.5492
-827,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorchAI,306,21,9,Python,https://kanchanchy.github.io/geotorchai/,GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036),datasystemslab,2023-02-15,2022-05-23,39,7.789090909090909,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",2023-02-05,4,"['Sarwat@wherobots', 'kanchan-chy@amberit', 'kanchanchy']",2,10,"['amberit', 'wherobots']","['Amber IT', 'Wherobots Inc.']",,2.6,21,12,9,1,1,1,1,21.0,25.0,90.0,1.2,0,24.4545
-473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,306,32,7,Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2023-02-17,2022-02-10,53,5.681697612732095,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",2022-10-05,1,['Nyandwi@cargeniemellon'],1,10,['cargeniemellon'],['Cargenie Mellon'],,0.52,0,0,13,5,0,0,0,0.0,0.0,90.0,0.0,0,8.10713
-930,ml,https://github.com/google-research/maxvit,,,,google-research/maxvit,maxvit,306,19,6,Jupyter Notebook,,"[ECCV 2022] Official repository for ""MaxViT: Multi-Axis Vision Transformer"". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...",google-research,2023-02-21,2022-07-07,32,9.31304347826087,"['architecture', 'classification', 'cnn', 'computer-vision', 'image', 'image-processing', 'mlp', 'object-detection', 'transformer', 'transformer-architecture', 'vision-transformer', 'segmentation', 'resnet']",2022-10-23,1,['Yinxiaoli@columbiauniversity'],1,10,['columbiauniversity'],['Columbia University'],,0.06,6,4,8,4,0,0,0,6.0,5.0,90.0,0.8,0,11.80627
-430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,298,36,11,TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2023-01-30,2018-08-14,236,1.2619479733817303,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",2022-07-18,7,"['Queuecumber@researchscientistnvidia', 'carmark', 'chaoleili', 'consideRatio@sundellopensourceconsultingab', 'dependabot[bot]', 'twalcari@imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'wexder']",3,10,"['imec-idlab,departmentofinformationtechnology,ghentuniversity,belgium', 'researchscientistnvidia', 'sundellopensourceconsultingab']","['Research Scientist @NVIDIA', 'Sundell Open Source Consulting AB', 'imec - IDLab, Department of Information Technology, Ghent University, Belgium']",,0.0,0,0,55,7,0,0,0,0.0,0.0,90.0,0.0,0,17.31958
-939,web,https://github.com/dmontagu/fastapi_client,,,,dmontagu/fastapi_client,fastapi_client,294,39,8,Python,,fastapi_client: FastAPI client generator,dmontagu,2023-02-16,2019-08-03,185,1.584295612009238,[],2021-02-11,8,"['ChristopheLallement', 'Toumetis', 'b0g3r@semrush', 'daveholladay', 'dmontagu@formlogic', 'fj-sanchez']",2,10,"['formlogic', 'semrush']","['@semrush', 'Formlogic']",,0.0,0,0,43,25,0,0,0,0.0,0.0,90.0,0.0,0,12.75052
-300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,293,62,9,Python,,openai/grade-school-math,openai,2023-02-20,2021-10-20,70,4.185714285714286,[],2021-11-19,2,"['kcobbe', 'vineetsk10@openai']",1,10,['openai'],['OpenAI'],,0.0,1,0,16,15,0,0,0,1.0,0.0,90.0,0.0,0,7.06312
-884,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,291,53,18,Python,https://pastas.readthedocs.io,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2023-02-17,2016-04-15,357,0.8134984025559105,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",2023-02-07,17,"['EitvanderMeulen@amo', 'Hugovdberg@brabantwater', 'OnnoEbbens', 'dbrakenhoff@artesiawater', 'dcslagel@codefarm', 'martinvonk', 'mbakker7@tudelft', 'raoulcollenteur@karl-franzensuniversityofgraz', 'rubencalje@artesia-water', 'saklop']",7,10,"['amo', 'artesia-water', 'artesiawater', 'brabantwater', 'codefarm', 'karl-franzensuniversityofgraz', 'tudelft']","['AMO', 'Artesia Water', 'Artesia-water', 'Brabant Water', 'Code Farm LLC', 'Karl-Franzens University of Graz', 'TU Delft']",,4.73,158,115,83,0,7,4,7,158.0,298.0,90.0,1.9,0,47.04193
-946,web,https://github.com/aeternalis-ingenium/fastapi-backend-template,,,,aeternalis-ingenium/fastapi-backend-template,FastAPI-Backend-Template,288,48,9,Python,,"FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.",aeternalis-ingenium,2023-02-20,2022-12-05,11,25.518987341772153,"['asynchronous', 'docker', 'docker-compose', 'fastapi', 'postgresql', 'python', 'sqlalchemy', 'codecov', 'githubactions', 'jwt', 'pre-commit', 'alembic', 'asyncpg', 'coverage', 'pytest']",2023-02-05,4,"['Aeternalis-Ingenium@j.a.r.v.i.s.', 'cclauss@christianclauss', 'kumaravelabinbev', 'pre-commit-ci[bot]']",2,10,"['christianclauss', 'j.a.r.v.i.s.']","['Christian Clauss', 'J. A. R.V. I. S.']",,1.19,13,12,3,1,0,0,0,13.0,3.0,90.0,0.2,0,17.2391
-574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,281,85,49,Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2023-01-24,2017-05-02,303,0.9269557021677662,[],2021-02-16,6,"['bluetyson', 'kylebarron', 'matthewhanson@element84', 'robertd', 'seilerman@jupiter', 'vincentsarago@developmentseed']",3,10,"['developmentseed', 'element84', 'jupiter']","['@developmentseed ', '@element84', 'Jupiter']",,0.0,2,0,71,24,0,1,1,2.0,0.0,90.0,0.0,0,16.76788
-524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,280,92,11,Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2023-01-31,2016-06-25,347,0.8055898068228524,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",2022-12-14,46,"['KyleJamesWalker@zefr', 'b0rken', 'bghinkle', 'brandond@rancher', 'dependabot[bot]', 'mikereinhold', 'pdecat@claranet', 'pvbouwel', 'trav-c', 'venth']",3,10,"['claranet', 'rancher', 'zefr']","['@claranet', '@rancher', 'ZEFR']",,2.04,14,5,81,2,20,17,20,14.0,9.0,90.0,0.6,0,37.98202
-342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,275,19,4,Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2023-02-20,2017-09-22,282,0.9727134916624558,['python'],2023-02-04,5,"['MicaelJarniac@micaeljarniac', 'avylove', 'bunjiboys', 'sourcery-ai[bot]']",1,10,['micaeljarniac'],['Micael Jarniac'],,0.73,3,2,66,1,3,5,3,3.0,4.0,90.0,1.3,0,25.62278
-123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,274,37,7,Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2023-02-06,2013-03-05,520,0.5267783575940675,[],2022-12-11,22,"['GhostofGoes', 'brechtm@opqode', 'hugovk@nordsoftware', 'jdufresne@pioneervalleybooks', 'jwilk', 'mauritsvanrees@zestsoftware', 'mgedmin@programmersofvilnius', 'myint', 'phijor', 'tobiasraabe@quantilope']",6,10,"['nordsoftware', 'opqode', 'pioneervalleybooks', 'programmersofvilnius', 'quantilope', 'zestsoftware']","['@opqode ', '@quantilope', '@zestsoftware ', 'Nord Software', 'Pioneer Valley Books', 'Programmers of Vilnius']",,0.58,2,2,121,2,0,6,6,2.0,4.0,90.0,2.0,0,37.70974
-210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,274,24,5,Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2023-02-20,2021-05-27,90,3.0157232704402515,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",2021-05-28,3,"['Gl0deanR@belike', 'tiangolo']",1,10,['belike'],['beLIKE'],,0.0,1,0,21,21,0,1,1,1.0,0.0,90.0,0.0,0,8.94624
-385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,272,35,7,Python,,contractions: Fixes contractions such as `you're` to `you are`,kootenpv,2023-02-19,2016-12-25,321,0.8462222222222222,[],2022-11-15,14,"['Kev-Y-Huang', 'Wan-Yifei', 'christian-storm@independentresearch', 'daikikatsuragawa@japan', 'harshasomisetty', 'kootenpv@vankootenaisolutions/ex-mgnr', 'maximkir-fl', 'misha345a', 'nickumia', 'sajal2692@unscramblinc']",4,10,"['independentresearch', 'japan', 'unscramblinc', 'vankootenaisolutions/ex-mgnr']","['Independent Research', 'Japan', 'Unscrambl Inc', 'Van Kooten AI Solutions / ex-mgnr']",,0.1,1,1,75,3,0,0,0,1.0,1.0,90.0,1.0,0,26.66134
-418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,272,17,11,Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2023-02-17,2018-01-25,264,1.0269687162891046,['pandas'],2023-02-03,9,"['Zsailer@apple', 'asmirnov69', 'ericmjl', 'eyaltrabelsi@bigabid', 'haimjether', 'musicinmybrain', 'partev', 'pre-commit-ci[bot]', 'toddrme2178']",2,10,"['apple', 'bigabid']","['Apple', 'Bigabid']",,1.06,6,3,62,1,1,1,1,6.0,7.0,90.0,1.2,0,28.32898
-307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,270,141,18,Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2023-02-13,2017-02-07,315,0.85675430643699,"['ethereum', 'python', 'utility-library']",2022-11-17,31,"['Alegzander', 'Christofon', 'carver@ethereumfoundation', 'cburgdorf', 'davesque', 'gsalgado', 'kclowes', 'njgheorghita@ethereum', 'pipermerriam@ethereumfoundation', 'reiven']",2,10,"['ethereum', 'ethereumfoundation']","['@ethereum ', 'Ethereum Foundation']",,0.31,4,2,74,3,0,10,10,4.0,1.0,90.0,0.2,0,29.53826
-852,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,267,11,6,Python,,hstream: Hyper Stream,conradbez,2023-01-29,2022-11-03,15,16.83783783783784,[],2023-02-10,5,"['blackary@streamlit', 'charliec443', 'collingreen', 'conradbez', 'thewchan']",1,10,['streamlit'],['Streamlit'],,0.81,0,0,4,0,0,0,0,0.0,0.0,90.0,0.0,0,13.30904
-714,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,263,38,4,Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2023-02-18,2021-11-17,66,3.984848484848485,"['machine-learning', 'mlops', 'hacktoberfest']",2022-12-21,15,"['MrKrishnaAgarwal@letsopen-source', 'Smartmind12', 'SmritiSatyanV', 'bilal-aamer', 'cosmicBboy@unionai', 'eapolinario', 'evalsocket@unionai', 'jonwiggins@chartbeatillinoishackny', 'sugatoray@universityofwisconsin-milwaukee', 'zevisert@revelasystems']",5,10,"['chartbeatillinoishackny', 'letsopen-source', 'revelasystems', 'unionai', 'universityofwisconsin-milwaukee']","['@Chartbeat @Illinois @hackny', '@LetsOpen-Source', '@unionai', 'Revela Systems', 'University of Wisconsin - Milwaukee', 'unionai']",,4.5,23,4,15,2,18,15,18,23.0,10.0,90.0,0.4,0,33.44889
-508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,263,59,15,JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2023-02-19,2019-08-19,183,1.4349181605611847,[],2023-02-18,36,"['EricMichaelSmith', 'Etesam913@spectatorpublishingcorrelation-one', 'JackUrb', 'bottler', 'dependabot[bot]', 'jxmsML@facebookresearch', 'mojtaba-komeili@facebookresearch', 'pringshia', 'salelkafrawy', 'sghmk12@federato']",3,10,"['facebookresearch', 'federato', 'spectatorpublishingcorrelation-one']","['@facebookresearch ', '@spectatorpublishing  @correlation-one ', 'Federato']",,14.0,81,71,43,0,5,6,5,81.0,68.0,90.0,0.8,0,42.36031
-670,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,261,80,26,C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2023-02-09,2015-03-14,414,0.629565816678153,[],2023-02-20,21,"['WillieMaddox', 'afabri@geometryfactory', 'dependabot[bot]', 'lrineau@geometryfactory', 'maxGimeno', 'sgiraudot', 'sloriot@geometryfactory', 'snoyer', 'thopiekar', 'xantares']",1,10,['geometryfactory'],['GeometryFactory'],,2.44,6,4,97,0,3,0,3,6.0,12.0,90.0,2.0,0,34.8825
-737,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,260,42,7,Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2023-02-16,2022-05-04,42,6.190476190476191,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",2023-02-14,13,"['BenjaminBossan', 'E-Aho@bumble-tech', 'EdAbati', 'adrinjalali@huggingface', 'anferico@pischool,translated', 'ayyucedemirbas', 'dependabot[bot]', 'eltociear@bandism', 'merveenoyan@huggingface', 'omar-araboghli@tib']",5,10,"['bandism', 'bumble-tech', 'huggingface', 'pischool,translated', 'tib']","['@PiSchool, @Translated', '@bandism ', '@bumble-tech', '@huggingface ', 'TIB']",,2.98,117,81,10,0,6,7,6,117.0,377.0,90.0,3.2,0,40.21635
-303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,259,28,8,Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2023-01-08,2021-08-27,77,3.332720588235294,[],2022-01-04,2,['yangkenneth@coinbase'],1,10,['coinbase'],['@coinbase'],,0.0,0,0,18,14,0,0,0,0.0,0.0,90.0,0.0,0,7.01559
-454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,258,60,16,Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2023-02-17,2013-12-06,480,0.5367013372956909,[],2023-02-01,12,"['ahmednoureldeen@cartologic', 'albarrentine', 'andrewharvey@alantgeo', 'candrsn@nlt', 'dionysio@bringg', 'fgregg@datamade,partner', 'hancush@datamade', 'iandees', 'ingalls@openaddressesdevelopmentseed', 'ramSeraph']",7,10,"['alantgeo', 'bringg', 'cartologic', 'datamade', 'datamade,partner', 'nlt', 'openaddressesdevelopmentseed']","['@bringg', '@cartologic', '@datamade', '@datamade, Partner', '@openaddresses @developmentseed', 'Alantgeo', 'NLT']",,0.4,4,0,112,1,2,2,2,4.0,3.0,90.0,0.8,0,33.3239
-826,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,258,30,10,Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2023-02-21,2022-10-31,16,15.842105263157896,[],2023-02-16,4,"['MaikoTan@awesomehamster', 'ThereforeGames', 'WeberSamuel', 'kylechallis']",1,10,['awesomehamster'],['@AwesomeHamster'],,2.42,48,28,4,0,0,0,0,48.0,137.0,90.0,2.9,0,24.67721
-480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,255,22,22,Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2023-02-13,2019-10-28,173,1.471558120362737,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",2023-01-09,9,"['Hoxbro', 'brl0@datum-tech', 'iameskild@quansight', 'ianthomas23@anaconda', 'jbednar@anaconda', 'jonmmease@hextechnologies', 'jrbourbeau@coiled', 'maximlt@anaconda', 'philippjfr@anaconda']",5,10,"['anaconda', 'coiled', 'datum-tech', 'hextechnologies', 'quansight']","['@Datum-Tech ', '@coiled ', '@quansight', 'Anaconda', 'Anaconda Inc.', 'Anaconda, Inc.', 'Hex Technologies']",,0.35,11,7,40,1,3,11,3,11.0,5.0,90.0,0.5,0,30.41929
-587,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,254,6,13,Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2023-02-16,2022-02-11,53,4.7287234042553195,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",2023-02-14,12,"['AdemFr', 'AlirezaSohofi@merantixlabs', 'AlpAribal', 'MaxSchambach@merantixmomentum', 'ThomasWollmann@merantix&pw-solutions', 'TiansuYu@idealointernetgmbh', 'axkoenig@merantixmomentum', 'kai-tub', 'pzdkn@merantix-momentum', 'winfried-ripken']",5,10,"['idealointernetgmbh', 'merantix&pw-solutions', 'merantix-momentum', 'merantixlabs', 'merantixmomentum']","['@merantix-momentum ', 'Idealo Internet GmbH', 'Merantix & PW-Solutions', 'Merantix Labs', 'Merantix Momentum']",,2.0,14,10,12,0,14,14,14,14.0,11.0,90.0,0.8,0,34.8932
-693,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,252,28,13,Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2022-12-26,2018-12-07,219,1.1469440832249675,[],2022-03-09,8,"['RJT1990', 'alefnula@https://alefnula.io', 'gcucurull', 'mkardas', 'omarsar@dair.ai', 'rstojnic', 'thatch', 'zeke@replicate']",3,10,"['dair.ai', 'https://alefnula.io', 'replicate']","['@replicate ', 'DAIR.AI', 'https://alefnula.io']",,0.02,0,0,51,12,0,4,4,0.0,0.0,90.0,0.0,0,19.17837
-374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,252,62,11,Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2023-02-21,2017-12-08,271,0.9274447949526814,[],2019-02-09,4,"['DavideA', 'TheZoc', 'kant', 'ndrplz@nomitri-perceptionaiformobile']",1,10,['nomitri-perceptionaiformobile'],['Nomitri - Perception AI for Mobile'],,0.0,5,1,63,49,0,0,0,5.0,5.0,90.0,1.0,0,13.10976
-248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,249,19,9,Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2023-02-10,2016-09-07,337,0.7388724035608308,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",2019-11-13,23,"['adamchainz@django,djangolondon', 'agonzalezro@auth0', 'alanc10n', 'angelabad', 'graingert', 'nathanleiby@engineeringstableauto', 'obestwalter@avira', 'philipn@encycla', 'rpgreen', 'vlcinsky']",5,10,"['auth0', 'avira', 'django,djangolondon', 'encycla', 'engineeringstableauto']","['@Auth0', '@Avira', '@django, @djangolondon', 'Encycla', 'Engineering @ Stable Auto']",,0.0,0,0,79,40,0,0,0,0.0,0.0,90.0,0.0,0,19.21007
-515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,248,123,13,Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2023-02-21,2020-09-17,126,1.954954954954955,"['data-science', 'machine-learning', 'datasets', 'python']",2022-11-01,3,"['BirajCoder@jovian', 'aakashns@jovianml']",2,10,"['jovian', 'jovianml']","['@JovianML', 'Jovian']",,0.13,3,0,30,4,0,0,0,3.0,1.0,90.0,0.3,0,15.9744
-888,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,248,27,6,Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2023-02-19,2022-11-03,15,15.63963963963964,"['python', 'roadmap', 'tutorial']",2023-01-04,1,['amaargiru@oznadigitalsolutions'],1,10,['oznadigitalsolutions'],['OZNA Digital Solutions'],,1.04,2,0,4,2,0,0,0,2.0,4.0,90.0,2.0,0,13.20316
-864,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,244,87,44,Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2023-02-20,2020-01-22,161,1.515527950310559,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",2023-02-10,48,"['andriisoldatenko', 'andscoop', 'cwurtz', 'danielhoherd@astronomer', 'ianstanton@coredb', 'kaxil@astronomer', 'pgvishnuram@astronomer', 'schnie@astronomer', 'sjmiller609@coredb', 'tedmiston@mandolin-dev']",3,10,"['astronomer', 'coredb', 'mandolin-dev']","['@astronomer', '@astronomer ', '@mandolin-dev', 'Astronomer', 'CoreDB']",,1.85,33,30,38,0,17,29,17,33.0,24.0,90.0,0.7,0,40.54065
-870,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,244,37,24,Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2023-02-20,2019-11-27,169,1.4437869822485208,[],2022-12-08,12,"['Arun-Niranjan@bud', 'BerenMillidge', 'alec-tschantz', 'conorheins', 'dependabot[bot]', 'mahault', 'pitmonticone@universityofturin']",2,10,"['bud', 'universityofturin']","['Bud', 'University of Turin']",,1.31,5,4,39,2,3,2,3,5.0,3.0,90.0,0.6,0,27.0733
-277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,243,47,31,Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2023-02-19,2017-02-22,313,0.7763578274760383,[],2022-05-09,12,"['danfrankj', 'delirious-lettuce', 'foxyblue', 'gloutsch', 'gthomas-slack@slack', 'harsham4026', 'kination@line', 'ljharb@tc39', 'matthewwardrop@datascientistatnetflix', 'naoyak@airbnb']",5,10,"['airbnb', 'datascientistatnetflix', 'line', 'slack', 'tc39']","['@airbnb', '@line', '@tc39', 'Data Scientist at @Netflix', 'Slack']",,0.04,1,1,73,10,1,12,1,1.0,1.0,90.0,1.0,0,25.75513
-657,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,243,46,11,Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2023-02-09,2018-11-26,221,1.0981278244028405,[],2023-01-03,59,"['CaselIT', 'bbangert@mozilla,nabucasa', 'bourke@iter8ve', 'donkopotamus', 'mindw', 'olduvaihand@google,inc', 'pjenvey@mozilla', 'vincent-ferotin', 'wichert@simplonb.v.', 'zzzeek@redhat']",6,10,"['google,inc', 'iter8ve', 'mozilla', 'mozilla,nabucasa', 'redhat', 'simplonb.v.']","['@mozilla, @NabuCasa', 'Google, Inc', 'Mozilla', 'Red Hat', 'Simplon B.V.', 'iter8ve']",,0.54,6,4,52,2,5,15,5,6.0,18.0,90.0,3.0,0,40.17338
-229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,243,24,10,Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2023-02-13,2020-06-15,140,1.7321792260692463,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",2023-02-14,5,"['dbanda@microsoft', 'jgc128', 'laserprec', 'microsoft-github-operations[bot]', 'microsoftopensource@microsoft']",1,10,['microsoft'],['Microsoft'],,0.04,1,1,33,0,0,3,3,1.0,0.0,90.0,0.0,0,20.49959
-276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,241,60,13,Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2023-02-12,2021-07-26,82,2.9288194444444446,[],2022-12-22,7,"['dudzicz@tokenflowinsights', 'feld', 'kchojn@py-world', 'piotr-rudnik', 'tmierzwa@tokenflowinsights', 'wolololol', 'zdumitru']",2,10,"['py-world', 'tokenflowinsights']","['Py-World', 'Token Flow Insights']",,0.6,9,8,19,2,0,0,0,9.0,2.0,90.0,0.2,0,20.47013
-588,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,241,28,8,Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2023-02-04,2020-03-17,153,1.5736940298507462,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",2022-05-02,4,"['dependabot[bot]', 'dorianj', 'vrajat']",0,10,[],[],,0.04,6,1,36,10,0,9,9,6.0,1.0,90.0,0.2,0,14.19444
-83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,240,46,13,Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2023-02-16,2017-09-17,283,0.8467741935483871,[],2022-11-26,11,"['MichaelClerx@universityofnottingham', 'ahartikainen@lumoanalytics', 'amas0', 'asottile', 'jburroni', 'jgabry@columbiauniversitystan-dev', 'mjcarter95', 'riddell-stan', 'smoh']",3,10,"['columbiauniversitystan-dev', 'lumoanalytics', 'universityofnottingham']","['@lumoanalytics ', 'Columbia University @stan-dev', 'University of Nottingham']",,0.35,5,1,66,3,0,4,4,5.0,2.0,90.0,0.4,0,27.10742
-923,gis,https://github.com/giswqs/aws-open-data-geo,,,,giswqs/aws-open-data-geo,aws-open-data-geo,234,6,9,Python,,aws-open-data-geo: A list of open geospatial datasets on AWS,giswqs,2023-02-20,2022-12-18,9,24.818181818181817,"['aws', 'environment', 'geospatial', 'mapping', 'open-data', 'satellite-imagery', 'sustainability']",2023-02-18,2,"['actions-user@actions', 'giswqs@universityoftennessee']",2,10,"['actions', 'universityoftennessee']","['@actions', 'University of Tennessee']",,0.75,1,0,2,0,0,0,0,1.0,4.0,90.0,4.0,0,19.38091
-865,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,230,31,14,Python,https://astro-sdk-python.rtfd.io/,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2023-02-20,2021-12-06,63,3.63431151241535,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",2023-02-21,32,"['dimberman@astronomerio', 'feluelle@astronomer', 'kaxil@astronomer', 'pankajastro@astronomer', 'pankajkoti@astronomer', 'pre-commit-ci[bot]', 'rajaths010494', 'sunank200@astronomer', 'tatiana@astronomer', 'utkarsharma2@astronomer']",2,10,"['astronomer', 'astronomerio']","['@astronomer', '@astronomer ', '@astronomerio', 'Astronomer']",,15.13,628,492,15,0,41,54,41,628.0,770.0,90.0,1.2,0,44.54659
-933,nlp,https://github.com/lucidrains/medical-chatgpt,,,,lucidrains/medical-chatgpt,medical-chatgpt,227,19,25,Python,,"medical-chatgpt: Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis",lucidrains,2023-02-20,2022-12-10,10,21.472972972972972,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'transformers', 'medicine']",2023-02-12,2,"['ell-hol@orange', 'lucidrains']",1,10,['orange'],['Orange'],,0.21,2,2,2,0,0,0,0,2.0,0.0,90.0,0.0,0,10.9728
-274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,223,49,25,Python,https://amazon-ion.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2023-02-21,2016-04-07,358,0.6214171974522293,[],2023-02-14,25,"['Antrikshy@amazon', 'almann', 'cheqianh@amazon', 'daniel-butler', 'dlurton@amzn', 'mijamo911@nope', 'popematt@amzn', 'rmarrowstone@amazon', 'rubcuevas', 'tgregg']",3,10,"['amazon', 'amzn', 'nope']","['@amzn ', 'Amazon', 'Nope']",,0.38,25,13,84,0,3,2,3,25.0,11.0,90.0,0.4,0,35.22364
-491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,218,31,44,Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2023-02-10,2018-03-09,258,0.8426283821093319,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",2022-10-26,13,"['drnextgis@satellogic', 'geospatial-jeff@regrowag', 'j08lue@developmentseed', 'kant', 'kylebarron', 'perliedman@solvi', 'pierotofy@uav4geo', 'rukku@phl-microsatdpad', 'sgillies@planetlabs', 'vincentsarago@developmentseed']",7,10,"['developmentseed', 'phl-microsatdpad', 'planetlabs', 'regrowag', 'satellogic', 'solvi', 'uav4geo']","['@developmentseed ', '@planetlabs', '@regrowag', '@satellogic', 'Development Seed', 'PHL-Microsat DPAD', 'Solvi', 'UAV4GEO']",,0.52,3,1,60,4,0,12,12,3.0,14.0,90.0,4.7,0,37.74126
-249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,217,81,16,Python,,bilhim/trafficsimulator,bilhim,2023-02-19,2021-09-05,76,2.839252336448598,[],2021-09-07,2,"['BilHim', 'hamolicious']",0,10,[],[],,0.0,1,0,18,18,0,0,0,1.0,0.0,90.0,0.0,0,3.51364
-337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,214,27,6,C,,mrabarnett/mrab-regex,mrabarnett,2023-02-19,2020-11-02,120,1.7790973871733966,[],2022-10-31,9,"['animalize', 'gpshead@google', 'mrabarnett', 'zsol@facebook']",2,10,"['facebook', 'google']","['@facebook ', 'Google']",,0.25,7,3,28,4,0,6,6,7.0,12.0,90.0,1.7,0,26.52439
-520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,214,54,11,Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2023-02-18,2020-05-26,143,1.4950099800399201,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",2022-12-09,1,['Lydorn'],0,10,[],[],,0.13,5,0,33,2,0,0,0,5.0,2.0,90.0,0.4,0,10.7437
-467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,214,17,5,Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2023-02-20,2020-12-06,115,1.853960396039604,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",2023-02-20,3,"['GustikS@czechtechnicaluniversity', 'LukasZahradnik', 'joaquincabezas@adevinta']",2,10,"['adevinta', 'czechtechnicaluniversity']","['Adevinta', 'Czech Technical University']",,6.06,4,4,27,0,18,17,18,4.0,7.0,90.0,1.8,0,32.56937
-981,util,https://github.com/google/pyglove,1.0,,,google/pyglove,pyglove,212,8,6,Python,,pyglove: Manipulating Python Programs,google,2023-02-20,2022-05-12,40,5.188811188811189,"['automl', 'evolution', 'machine-learning', 'meta-learning', 'meta-programming', 'symbolic-programming', 'manipulation', 'python']",2023-02-08,5,"['D-X-Y@google', 'daiyip', 'rchen152', 'sinopalnikov', 'xingyousong@googlebrain']",2,10,"['google', 'googlebrain']","['Google', 'Google Brain']",,2.21,29,27,9,0,3,5,3,29.0,14.0,90.0,0.5,0,26.81938
-819,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,207,32,7,Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2023-02-20,2022-06-27,34,6.0375,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",2022-11-03,2,"['dependabot[bot]', 'gorold']",0,10,[],[],,0.21,4,1,8,4,0,0,0,4.0,5.0,90.0,1.2,0,9.73728
-243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,206,48,5,Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2023-02-08,2020-12-09,115,1.791304347826087,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",2023-02-21,7,"['JohanvandenHeuvel', 'Philoso-Fish', 'Voulgaris-Sot', 'ah-ansari', 'aredelmeier', 'indyfree@bezerocarbon']",1,10,['bezerocarbon'],['@BeZeroCarbon '],,0.67,8,5,27,0,0,0,0,8.0,0.0,90.0,0.0,0,20.94776
-733,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,206,51,7,Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2023-02-21,2020-04-01,151,1.3642384105960266,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",2022-11-05,10,"['Jeanselme@universityofcambridge', 'PotosnakW', 'chiragnagpal@carnegiemellonuniversity', 'chufangao@carnegiemellonuniversity', 'haivanle', 'kishanmaharaj@indianinstituteoftechnologybombay', 'shikhareddy']",3,10,"['carnegiemellonuniversity', 'indianinstituteoftechnologybombay', 'universityofcambridge']","['Carnegie Mellon University', 'Indian Institute Of Technology Bombay ', 'University of Cambridge']",,2.23,4,3,35,4,0,0,0,4.0,7.0,90.0,1.8,0,26.70285
-240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,205,34,10,Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2023-02-20,2020-12-11,114,1.7870485678704857,[],2021-11-11,2,"['daniel-kukiela', 'seung-kim']",0,10,[],[],,0.0,0,0,27,16,0,0,0,0.0,0.0,90.0,0.0,0,4.25902
-859,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,204,143,25,Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2023-02-11,2015-04-09,410,0.4965229485396384,[],2023-02-17,74,"['Carreau@quansight-labs', 'MSeal@noteable-io', 'blink1073@mongodb', 'ellisonbg@amazonwebservices', 'jdfreder@google', 'jhamrick', 'minrk@simularesearchlaboratory', 'mpacer@netflix', 'pre-commit-ci[bot]', 'takluyver']",7,10,"['amazonwebservices', 'google', 'mongodb', 'netflix', 'noteable-io', 'quansight-labs', 'simularesearchlaboratory']","['@Quansight-Labs', '@google ', '@noteable-io', 'Amazon Web Services', 'MongoDB', 'Netflix', 'Simula Research Laboratory']",,3.5,22,18,96,0,12,4,12,22.0,6.0,90.0,0.3,0,45.80314
-456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,203,23,4,Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2023-02-20,2020-07-01,138,1.4710144927536233,"['machine-learning', 'python', 'addresses-parsing']",2023-02-20,6,"['GameSetAndMatch@baseline', 'MAYAS3', 'davebulaval@baseline.québec', 'dependabot[bot]', 'freud14', 'yogeshchandrasekharuni']",2,10,"['baseline', 'baseline.québec']","['Baseline.québec', 'baseline']",,3.35,14,14,32,0,15,17,15,14.0,1.0,90.0,0.1,0,30.94
-836,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,199,59,14,C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2023-02-17,2013-01-06,528,0.376588267099216,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",2022-11-18,4,"['benbovy', 'mcflugen@universityofcolorado', 'r-barnes', 'tbartholomaus@universityofidaho']",2,10,"['universityofcolorado', 'universityofidaho']","['University of Colorado', 'University of Idaho']",,0.56,8,1,123,3,0,2,2,8.0,2.0,90.0,0.2,0,23.68795
-207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,195,48,15,Python,,aws/aws-lambda-python-runtime-interface-client,aws,2023-02-10,2020-09-02,129,1.5116279069767442,[],2023-02-16,23,"['SukanyaHanumanthu@356', 'aboelhamd@aws', 'adamchainz@django,djangolondon', 'amazon-auto@amazon', 'carlzogh@amazonwebservices', 'keshayad@amazonwebservices', 'preearor', 'smirnoal', 'stefanbotez', 'zsombor-balogh']",5,10,"['356', 'amazon', 'amazonwebservices', 'aws', 'django,djangolondon']","['356', '@aws', '@django, @djangolondon', 'Amazon', 'Amazon Web Services']",,0.37,8,2,30,0,0,2,2,8.0,4.0,90.0,0.5,0,32.48782
-954,diffusion,https://github.com/lunarring/latentblending,,,,lunarring/latentblending,latentblending,194,18,11,Python,,"latentblending: Create butter-smooth transitions between prompts, powered by stable diffusion",lunarring,2023-02-20,2022-11-19,13,14.294736842105262,"['animation', 'diffusion', 'stable-diffusion']",2023-02-21,9,"['brianfitzgerald', 'jjnnss', 'lunarring', 'maxlund']",0,10,[],[],,3.12,8,7,3,0,0,0,0,8.0,27.0,90.0,3.4,0,21.41306
-899,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,192,17,13,Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2023-02-16,2017-11-12,275,0.6970954356846473,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",2021-01-18,5,"['bryanculbertson@eradb', 'd3netxer', 'kuanb@mapbox', 'pitrz']",2,10,"['eradb', 'mapbox']","['@eradb ', '@mapbox']",,0.0,2,0,64,25,0,3,3,2.0,0.0,90.0,0.0,0,15.82059
-446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,187,34,13,Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2023-02-13,2019-03-01,207,0.9002751031636864,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",2023-02-13,17,"['TimMcCauley', 'dependabot[bot]', 'erinrolson', 'gegen07', 'jGaboardi@ornl', 'knaaptime@center-for-open-geographical-science', 'pre-commit-ci[bot]', 'rwei5', 'sjsrey@centerforopengeographicalscience', 'xf37@universityofoklahoma']",4,10,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'ornl', 'universityofoklahoma']","['@center-for-open-geographical-science', 'Center for Open Geographical Science', 'ORNL', 'University of Oklahoma']",,6.63,57,43,48,0,6,4,6,57.0,79.0,90.0,1.4,0,41.4941
-339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,187,19,11,Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2023-02-21,2021-10-26,69,2.7045454545454546,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",2021-11-15,2,"['mend-bolt-for-github[bot]', 'tlkh@singaporeuniversityoftechnologyanddesign']",1,10,['singaporeuniversityoftechnologyanddesign'],['Singapore University of Technology and Design'],,0.0,2,0,16,15,0,0,0,2.0,0.0,90.0,0.0,0,7.34315
-266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,181,34,6,Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2023-02-06,2020-12-10,114,1.5758706467661692,[],2022-12-09,9,"['Kabongosalomon@universityofhannover,l3sandtib', 'TrellixVulnTeam', 'a3nm', 'castedo@castedo.com', 'gabrielmbmb', 'kyleclo@allenai', 'lucylw', 'nayha-auradkar', 'tsogi']",3,10,"['allenai', 'castedo.com', 'universityofhannover,l3sandtib']","['@allenai ', 'University of Hannover, L3S and TIB', 'castedo.com']",,0.12,3,2,27,2,0,0,0,3.0,1.0,90.0,0.3,0,21.66414
-585,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,181,28,17,Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2023-02-14,2018-09-19,231,0.7835497835497836,[],2023-01-25,9,"['AnGWar26@mansueto-institute', 'jGaboardi@ornl', 'knaaptime@center-for-open-geographical-science', 'ljwolf@geogbristol', 'renanxcortes', 'sjsrey@centerforopengeographicalscience', 'suhanmappingideas', 'weikang9009@universityofnorthtexas']",6,10,"['center-for-open-geographical-science', 'centerforopengeographicalscience', 'geogbristol', 'mansueto-institute', 'ornl', 'universityofnorthtexas']","['@center-for-open-geographical-science', '@geogbristol ', '@mansueto-institute', 'Center for Open Geographical Science', 'ORNL', 'University of North Texas']",,0.98,10,4,54,1,4,6,4,10.0,20.0,90.0,2.0,0,35.50316
-461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,181,26,7,Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2023-02-19,2021-11-26,64,2.7969094922737305,[],2022-09-17,6,"['YoadTew', 'chenxwh', 'idansc', 'itsyoavshalev']",0,10,[],[],,0.1,3,1,15,5,0,0,0,3.0,0.0,90.0,0.0,0,9.38013
-731,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,178,19,8,Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2023-01-12,2021-03-29,99,1.7928057553956835,[],2021-04-05,2,"['bowenc0221', 'ppwwyyxx']",0,10,[],[],,0.0,0,0,23,23,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
-33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,175,73,13,Python,,address-net: A package to structure Australian addresses,jasonrig,2023-02-20,2018-12-05,220,0.7954545454545454,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",2020-09-09,2,"['Stallon-niranjan@deceptiveai', 'jasonrig@monash-mercpay-baymax']",2,10,"['deceptiveai', 'monash-mercpay-baymax']","['@monash-merc @Pay-Baymax', 'Deceptive AI']",,0.0,1,0,51,30,0,0,0,1.0,0.0,90.0,0.0,0,10.17262
-415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,174,34,13,Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2023-02-17,2021-07-05,85,2.040201005025126,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",2022-12-09,1,['rafiqhasan@google'],1,10,['google'],['Google'],,0.1,0,0,20,2,2,5,2,0.0,0.0,90.0,0.0,0,12.21225
-948,nlp,https://github.com/ibm/transition-amr-parser,,,,ibm/transition-amr-parser,transition-amr-parser,173,39,9,Python,,transition-amr-parser: SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.,ibm,2023-02-10,2019-10-08,176,0.9821573398215734,"['machine-learning', 'nlp', 'semantic-parsing', 'amr', 'amr-parser', 'abstract-meaning-representation', 'amr-parsing', 'amr-graphs']",2023-02-01,15,"['cpendus', 'gangiswag', 'jzhou316', 'kant', 'kjbarker-work', 'mrdrozdov', 'ramon-astudillo@ibm', 'sadhana01', 'tahira', 'ysuklee@github.com/ibm']",2,10,"['github.com/ibm', 'ibm']","['@IBM', 'github.com/IBM']",,5.83,9,6,41,1,0,4,4,9.0,9.0,90.0,1.0,0,32.53758
-901,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,171,29,10,Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2023-02-19,2022-09-12,23,7.343558282208589,[],2023-02-03,6,"['amazon-auto@amazon', 'bryanyzhu@amazonai', 'gaozhihan@hongkonguniversityofscienceandtechnology', 'giswqs@universityoftennessee', 'sxjscience@amazonwebservices', 'vitusbenson']",5,10,"['amazon', 'amazonai', 'amazonwebservices', 'hongkonguniversityofscienceandtechnology', 'universityoftennessee']","['Amazon', 'Amazon AI', 'Amazon Web Services', 'Hong Kong University of Science and Technology', 'University of Tennessee']",,0.77,15,13,5,1,0,0,0,15.0,7.0,90.0,0.5,0,23.2917
-955,diffusion,https://github.com/coyote-a/ultimate-upscale-for-automatic1111,,,,coyote-a/ultimate-upscale-for-automatic1111,ultimate-upscale-for-automatic1111,170,14,4,Python,,coyote-a/ultimate-upscale-for-automatic1111,coyote-a,2023-02-21,2023-01-02,7,23.333333333333332,[],2023-02-07,4,"['Coyote-A', 'Danamir', 'Jopezzia']",0,10,[],[],,1.19,33,16,2,0,0,0,0,33.0,83.0,90.0,2.5,0,18.18387
-959,util,https://github.com/cqcl/tket,,,,cqcl/tket,tket,167,30,14,C++,,"tket: Source code for the TKET quantum compiler, Python bindings and utilities",cqcl,2023-02-18,2021-09-13,75,2.218216318785579,"['quantum-computing', 'compiler']",2023-02-20,22,"['CalMacCQ@quantinuum', 'Roland-djee', 'aborgna-q@quantinuum', 'cqc-alec', 'cqc-melf', 'lmondada@cambridgequantumcomputing', 'sjdilkes', 'ss2165@quantinuum', 'willsimmons1465@cambridgequantumcomputing', 'yao-cqc']",2,10,"['cambridgequantumcomputing', 'quantinuum']","['Cambridge Quantum Computing', 'Quantinuum']",,7.48,109,95,18,0,53,57,53,109.0,58.0,90.0,0.5,0,38.91665
-743,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,166,150,7,Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2023-02-07,2020-03-01,155,1.068014705882353,[],2021-10-21,1,['koaning@explosion'],1,10,['explosion'],['@explosion'],,0.0,0,0,36,16,0,0,0,0.0,0.0,90.0,0.0,0,7.2234
-890,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,163,0,9,Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2023-02-16,2022-11-28,12,13.267441860465116,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",2022-11-28,2,['H4kor'],0,10,[],[],,0.77,4,0,3,3,0,0,0,4.0,0.0,90.0,0.0,0,5.11876
-775,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,150,87,42,Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2023-02-15,2014-06-18,453,0.33112582781456956,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",2023-01-31,31,"['JoeJimFlood', 'bstabler@ptvgroup', 'chesterharvey', 'dhensle', 'fscottfoti@populus-aimapcraftlabsoaklandanalytics', 'jiffyclub@populus-ai', 'jpn--@cambridgesystematics|georgiatech', 'mxndrwgrdnr', 'nick-fournier-rsg@rsg', 'toliwaga']",5,10,"['cambridgesystematics|georgiatech', 'populus-ai', 'populus-aimapcraftlabsoaklandanalytics', 'ptvgroup', 'rsg']","['@populus-ai ', '@populus-ai @mapcraftlabs @oaklandanalytics  ', 'Cambridge Systematics | Georgia Tech', 'PTV Group', 'RSG Inc.']",,14.88,55,35,106,1,5,2,5,55.0,56.0,90.0,1.0,0,44.23018
-606,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,146,14,12,Python,,pyscript-cli: A CLI for PyScript,pyscript,2023-02-19,2022-05-01,42,3.441077441077441,[],2023-02-20,8,"['KennyOliver@sixthformcsstudent', 'anaconda-renovate-bot', 'fpliger', 'mattkram@anaconda', 'ntoll', 'ozanturker', 'pre-commit-ci[bot]', 'pww217']",2,10,"['anaconda', 'sixthformcsstudent']","['Anaconda, Inc.', 'Sixth Form CS Student']",,1.58,34,26,10,0,0,7,7,34.0,17.0,90.0,0.5,0,29.11971
-869,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,145,26,4,Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2023-02-15,2018-09-22,230,0.6288723667905824,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",2023-02-14,12,"['CozyDoomer', 'banesullivan@kitware', 'cclauss@christianclauss', 'dependabot-preview[bot]', 'dependabot[bot]', 'erayerdin', 'github-actions[bot]', 'hugovk@nordsoftware', 'pre-commit-ci[bot]', 'renovate[bot]']",3,10,"['christianclauss', 'kitware', 'nordsoftware']","['@Kitware', 'Christian Clauss', 'Nord Software']",,1.52,16,15,54,0,3,6,3,16.0,14.0,90.0,0.9,0,34.36093
-936,ml,https://github.com/jonasgeiping/breaching,,,,jonasgeiping/breaching,breaching,144,32,3,Python,,Breaching privacy in federated learning scenarios for vision and text,jonasgeiping,2023-02-19,2022-02-15,53,2.7096774193548385,"['security', 'machine-learning', 'pytorch', 'federated-learning', 'decentralized-learning', 'privacy-audit']",2023-02-09,17,"['JonasGeiping@computerscienceatumd', 'YuxinWenRick@universityofmaryland', 'lhfowl']",2,10,"['computerscienceatumd', 'universityofmaryland']","['Computer Science at UMD', 'University of Maryland']",,0.88,1,1,12,0,0,0,0,1.0,1.0,90.0,1.0,0,24.64049
-231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,142,29,3,Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2023-01-15,2020-07-06,137,1.0343392299687826,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",2022-06-10,2,"['crmne@freshflowai', 'dependabot[bot]']",1,10,['freshflowai'],['@freshflowai'],,0.02,5,0,32,9,0,0,0,5.0,1.0,90.0,0.2,0,11.40933
-785,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,140,8,3,TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2023-02-04,2020-11-28,116,1.2009803921568627,[],2022-05-13,2,"['brokenloop', 'matthieudesprez']",0,10,[],[],,0.06,2,0,27,9,0,0,0,2.0,0.0,90.0,0.0,0,6.41868
-466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,140,11,3,Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2023-02-16,2021-12-29,60,2.3333333333333335,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",2023-01-17,2,"['davidberenstein1957@argilla-io', 'infinitylogesh']",1,10,['argilla-io'],['@argilla-io '],,0.23,3,3,14,1,0,0,0,3.0,7.0,90.0,2.3,0,18.71194
-774,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,139,70,24,Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2023-02-08,2013-12-29,477,0.29114302812687015,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",2023-01-24,58,"['Anna-Livia', 'HAEKADI@codeworks', 'MattiSG', 'Morendil@codeworksfrance', 'benjello', 'clems', 'eraviart', 'fpagnoux', 'maukoquiroga', 'sandcha']",2,10,"['codeworks', 'codeworksfrance']","['@CodeWorksFrance', 'CodeWorks']",,3.0,52,31,111,1,0,42,42,52.0,69.0,90.0,1.3,0,43.44183
-564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,139,10,9,Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2023-02-19,2020-03-27,151,0.916195856873823,[],2023-02-08,9,"['EwoutH', 'TheBiggerGuy', 'brendan-ward@astutespruce', 'dependabot[bot]', 'jorisvandenbossche', 'martinfleis', 'theroggy', 'tqa236@descartesunderwriting', 'weiji14@developmentseed']",3,10,"['astutespruce', 'descartesunderwriting', 'developmentseed']","['@developmentseed', 'Astute Spruce, LLC', 'Descartes Underwriting']",,2.08,54,41,35,0,7,3,7,54.0,83.0,90.0,1.5,0,36.81719
-555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,133,32,0,,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2023-02-21,2022-01-09,58,2.2762836185819073,[],2021-12-10,29,"['CCInc@universityoftexasatdallas', 'daili650', 'ggrzeczkowicz', 'humanpose1', 'liubigli', 'loicland@strudel/ign', 'nicolas-chaulet@canoapbc', 'tchaton@lightning.ai|pytorchlightning', 'tristanheywood', 'zeliu98@microsoftresearchasia']",5,10,"['canoapbc', 'lightning.ai|pytorchlightning', 'microsoftresearchasia', 'strudel/ign', 'universityoftexasatdallas']","['@CanoaPBC', 'Lightning.ai | Pytorch Lightning', 'Microsoft Research Asia', 'STRUDEL/ IGN', 'University of Texas at Dallas']",,0.0,0,0,14,15,0,9,9,0.0,0.0,90.0,0.0,0,22.13799
-147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,133,34,9,Python,,markov_clustering: markov clustering in python,guyallard,2023-02-21,2017-09-27,282,0.4716312056737589,"['markov-clustering', 'clustering', 'python', 'networks']",2018-12-11,3,"['GuyAllard', 'jonahar']",0,10,[],[],,0.0,1,0,66,51,0,0,0,1.0,1.0,90.0,1.0,0,7.87128
-316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,128,16,3,C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2023-02-14,2019-06-30,190,0.6721680420105026,[],2023-02-09,4,"['cameronmaske@closedlooplabs', 'irmen', 'martinosspa', 'shauneccles']",1,10,['closedlooplabs'],['Closed Loop Labs'],,0.4,4,1,44,0,6,9,6,4.0,9.0,90.0,2.2,0,27.75683
-290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,127,37,4,Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2023-01-24,2020-06-21,139,0.9108606557377049,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",2022-07-02,2,"['eugeneyan@amzn', 'segunadelowo']",1,10,['amzn'],['@amzn'],,0.04,0,0,32,8,0,0,0,0.0,0.0,90.0,0.0,0,9.68979
-407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,125,27,15,Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2023-02-14,2021-11-22,65,1.9146608315098468,"['python', 'apache-beam', 'weather']",2023-02-15,26,"['CillianFn', 'alxmrs', 'deepgabani8@infocuspinnovationspvt.ltd.', 'dlowell12', 'ksic8', 'mahrsee1997', 'pbattaglia', 'pramodg', 'sgreenberg@google', 'uhager']",2,10,"['google', 'infocuspinnovationspvt.ltd.']","['Google', 'Infocusp Innovations Pvt. Ltd.']",,1.79,48,29,15,0,5,7,5,47.0,25.0,90.0,0.5,0,32.99876
-835,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,124,9,4,Python,,jellezijlstra/autotyping,jellezijlstra,2023-02-16,2021-06-25,86,1.42998352553542,[],2023-02-14,7,"['DmytroLitvinov@softformance', 'JelleZijlstra@quora', 'MarcoGorelli@quansight', 'hauntsaninja@openai', 'jakkdl', 'orsinium@sendcloud', 'sobolevn']",5,10,"['openai', 'quansight', 'quora', 'sendcloud', 'softformance']","['@OpenAI', '@quora ', '@sendcloud', '@softformance ', 'Quansight']",,0.35,15,14,20,0,2,2,2,15.0,25.0,90.0,1.7,0,32.47544
-305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,123,3,3,Python,,pytrait: Traits for Python3,xrudelis,2023-02-15,2021-11-21,65,1.8799126637554586,[],2021-11-27,2,"['sobolevn', 'xrudelis']",0,10,[],[],,0.0,0,0,15,15,0,0,0,0.0,0.0,90.0,0.0,0,3.03493
-571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,122,28,11,Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2023-02-21,2020-05-21,143,0.8480635551142006,"['geojson', 'pydantic', 'geojson-spec']",2023-02-10,19,"['dorianturba', 'drewbo@cloud-gov(work)+personalprojects;', 'eseglem@bigbear.ai', 'geospatial-jeff@regrowag', 'hawkaa@duneanalytics', 'iwpnd@tiermobility', 'moradology', 'regisfbrilhante', 'vincentsarago@developmentseed', 'yellowcap']",6,10,"['bigbear.ai', 'cloud-gov(work)+personalprojects;', 'developmentseed', 'duneanalytics', 'regrowag', 'tiermobility']","['@TierMobility ', '@cloud-gov (work) + personal projects; ', '@developmentseed ', '@duneanalytics', '@regrowag', 'BigBear.ai']",,1.44,24,17,34,0,0,5,5,24.0,53.0,90.0,2.2,0,40.41622
-583,web,https://github.com/developmentseed/fastai-serving,,,,developmentseed/fastai-serving,fastai-serving,121,11,8,Python,,"fastai-serving: A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving",developmentseed,2022-04-08,2019-07-01,190,0.6358858858858859,"['machine-learning', 'python', 'deep-learning', 'pytorch', 'docker']",2020-02-10,2,['drewbo@cloud-gov(work)+personalprojects;'],1,10,['cloud-gov(work)+personalprojects;'],['@cloud-gov (work) + personal projects; '],,0.0,0,0,44,37,0,0,0,0.0,0.0,90.0,0.0,0,6.85046
-973,data,https://github.com/nickreynke/python-gedcom,,,,nickreynke/python-gedcom,python-gedcom,121,31,16,Python,https://nickreynke.github.io/python-gedcom/gedcom/index.html,"python-gedcom: Python module for parsing, analyzing, and manipulating GEDCOM files",nickreynke,2023-02-17,2018-01-09,267,0.45294117647058824,"['python', 'gedcom', 'parser', 'gedcom-parser']",2021-06-03,16,"['KeithPetro', 'damonbrodie', 'joephayes@telegraphio', 'jonorthwash', 'madprime@openhumans', 'mameen', 'mtdcr', 'nickreynke', 'paulproteus@day:reduct.night:?!', 'scavone']",3,10,"['day:reduct.night:?!', 'openhumans', 'telegraphio']","['@OpenHumans ', '@telegraphio', 'Day: Reduct. Night: ?!']",,0.0,2,1,62,21,0,2,2,2.0,0.0,90.0,0.0,0,20.40746
-463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,112,8,3,Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2023-02-19,2022-02-18,52,2.124661246612466,[],2023-01-17,2,"['Psycoguana', 'coenvlietstra']",0,10,[],[],,0.37,3,3,12,1,0,0,0,3.0,12.0,90.0,4.0,0,16.90682
-893,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,111,45,9,Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2023-01-26,2019-04-23,200,0.5546038543897216,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",2020-03-20,3,"['amiryanj@inriaresearchcenter', 'franciscovalentecastro', 'jbhayet@cimat']",2,10,"['cimat', 'inriaresearchcenter']","['CIMAT', 'Inria Research Center']",,0.0,0,0,47,36,0,0,0,0.0,0.0,90.0,0.0,0,9.85825
-945,web,https://github.com/rawheel/fastapi-boilerplate,,,,rawheel/fastapi-boilerplate,fastapi-boilerplate,108,10,1,Python,,"fastapi-boilerplate: Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀 ",rawheel,2023-02-20,2022-12-28,8,13.5,"['alembic', 'boilerplate', 'docker', 'fastapi', 'fastapi-boilerplate', 'fastapi-sqlalchemy', 'postgresql', 'pydantic', 'python3', 'docker-compose', 'sqlalchemy', 'sqlalchemy-orm', 'poetry-python', 'orm']",2023-01-07,3,"['rawheel@github', 'sebastianmarines@clickit:devops&softwaredevelopment']",2,10,"['clickit:devops&softwaredevelopment', 'github']","['ClickIT: DevOps & Software Development', 'GitHub']",,0.27,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,0,10.58417
-847,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,105,12,4,Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2023-02-09,2022-07-11,32,3.252212389380531,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",2022-11-01,1,['souravbhadra@saintlouisuniversity'],1,10,['saintlouisuniversity'],['Saint Louis University'],,0.96,0,0,8,4,1,2,1,0.0,0.0,90.0,0.0,0,9.14056
-527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,104,16,20,Python,,hazyresearch/domino,hazyresearch,2023-02-15,2021-11-29,64,1.6177777777777778,[],2022-08-02,6,['seyuboglu'],0,10,[],[],,1.08,0,0,15,7,1,5,1,0.0,0.0,90.0,0.0,0,9.56023
-533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,102,23,9,Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2023-02-19,2021-08-30,77,1.3197781885397413,[],2022-07-21,2,"['Ggs1mida', 'HeavenswordG@ohiostateuniversity']",1,10,['ohiostateuniversity'],['Ohio State University'],,0.44,2,0,18,7,0,0,0,2.0,2.0,90.0,1.0,0,12.8785
-667,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,101,15,7,Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2023-02-19,2022-03-23,48,2.1041666666666665,[],2022-11-10,1,['zorzi-s'],0,10,[],[],,0.4,5,2,11,3,0,0,0,5.0,11.0,90.0,2.2,0,12.11452
-457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,101,24,6,Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2023-02-18,2021-09-27,73,1.3781676413255362,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",2022-11-04,2,"['danigoju', 'iliaschalkidis']",0,10,[],[],,0.38,1,1,17,4,0,0,0,1.0,2.0,90.0,2.0,0,12.34477
-529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,97,25,18,Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2023-02-05,2018-03-23,256,0.3778519755147468,[],2020-05-27,6,"['HiromuHota@https://snorkel.ai/', 'j-rausch', 'lukehsiao@numbersstationai', 'nicholaschiang@numbersstationai', 'rehanguha@vodafone', 'senwu']",3,10,"['https://snorkel.ai/', 'numbersstationai', 'vodafone']","['@NumbersStationAI', '@NumbersStationAI ', '@Vodafone', 'https://snorkel.ai/']",,0.0,0,0,60,33,0,2,2,0.0,0.0,90.0,0.0,0,15.5718
-746,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,96,12,3,Python,,parquet-tools: easy install parquet-tools,ktrueda,2023-02-18,2020-05-02,146,0.6549707602339181,"['parquet', 'parquet-tools', 'cli']",2023-01-18,12,"['dependabot[bot]', 'engstrom@discogs', 'exaspace', 'fabaff', 'jdblischak', 'ktrueda', 'mrdavidlaing@shopify', 'omo', 'sattler@tumi8', 'sbrandtb@fri-day']",4,10,"['discogs', 'fri-day', 'shopify', 'tumi8']","['@FRI-DAY ', '@Shopify ', '@discogs ', '@tumi8']",,0.19,7,5,34,1,2,6,2,7.0,4.0,90.0,0.6,0,28.92828
-781,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,95,21,4,Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2023-01-31,2016-12-01,324,0.29243623570800353,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",2022-08-23,6,"['12rambau@faoopenforis', 'danielskatz@uiuc', 'ethanwhite@weecology,univofflorida', 'ghislainv@cirad', 'kbarnhart', 'molgor@lancasteruniversity']",5,10,"['cirad', 'faoopenforis', 'lancasteruniversity', 'uiuc', 'weecology,univofflorida']","['@weecology, Univ of Florida ', 'Cirad', 'FAO @openforis', 'Lancaster University', 'UIUC']",,0.15,1,0,76,6,1,0,1,1.0,0.0,90.0,0.0,0,22.00262
-558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,36,9,Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2016-08-12,340,0.2729559748427673,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",2022-12-09,8,"['actions-user@actions', 'darribas', 'fcorowe@universityofliverpool', 'jreades@ucl', 'ljwolf@geogbristol', 'martinfleis', 'ocefpaf']",4,10,"['actions', 'geogbristol', 'ucl', 'universityofliverpool']","['@actions', '@geogbristol ', 'UCL', 'University of Liverpool']",,0.79,4,1,79,2,1,2,1,4.0,2.0,90.0,0.5,0,27.5601
-534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,91,9,1,Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2022-12-30,2022-02-28,51,1.7743732590529249,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",2022-12-17,1,['benedekrozemberczki@isomorphiclabs'],1,10,['isomorphiclabs'],['@isomorphiclabs'],,1.98,0,0,12,2,1,1,1,0.0,0.0,90.0,0.0,0,12.00923
-744,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,91,20,4,Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2023-02-18,2020-12-02,116,0.7844827586206896,[],2022-12-16,8,"['Bennylave', 'aiqc@aiqc', 'amoh-godwin@deuteronomyworks', 'layne-sadler@aiqc', 'sahilgupta2105']",2,10,"['aiqc', 'deuteronomyworks']","['AIQC', 'Deuteronomy Works']",,6.9,0,0,27,2,0,0,0,0.0,0.0,90.0,0.0,0,20.45884
-842,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,87,4,1,Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2023-02-09,2022-03-24,47,1.817910447761194,"['jupyter', 'pandas', 'python']",2023-02-20,4,"['domoritz@cmu,apple', 'vaish399', 'willeppy@cmu', 'yuqizhang99']",2,10,"['cmu', 'cmu,apple']","['CMU', 'CMU, Apple']",,4.17,41,30,11,0,0,0,0,41.0,19.0,90.0,0.5,0,25.403
-485,gis,https://github.com/scisco/area,,,,scisco/area,area,87,20,3,Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-12-14,2015-11-25,378,0.23015873015873015,[],2018-10-31,3,"['lgw4', 'scisco']",0,10,[],[],,0.0,0,0,88,52,0,0,0,0.0,0.0,90.0,0.0,0,5.10122
-974,data,https://github.com/vmiklos/ged2dot,,,,vmiklos/ged2dot,ged2dot,87,17,6,Python,https://vmiklos.hu/ged2dot/,ged2dot: GEDCOM to Graphviz converter,vmiklos,2023-02-12,2013-11-01,485,0.17911764705882352,"['gedcom', 'dot', 'python', 'libreoffice']",2023-02-17,9,"['ColinChargy', 'bAndie91', 'dougstarfish@starfishstorage', 'drzraf', 'fetsorn', 'rgerkin@ozymandianindustries', 'schuellerf', 'vmiklos']",2,10,"['ozymandianindustries', 'starfishstorage']","['Ozymandian Industries', 'Starfish Storage']",,0.83,14,14,113,0,2,2,2,14.0,0.0,90.0,0.0,0,30.09989
-562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,84,19,11,Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2023-01-04,2021-05-21,91,0.9158878504672897,[],2023-02-19,17,"['EdwardBetts', 'HaudinFlorence@quantstack', 'SylvainCorlay@quantstack', 'benoit9126@roseautechnologies', 'darribas', 'davidbrochart@quantstack', 'dependabot[bot]', 'drnextgis@satellogic', 'martinfleis', 'tsutterley@uw-eduappliedphysicslaboratory']",4,10,"['quantstack', 'roseautechnologies', 'satellogic', 'uw-eduappliedphysicslaboratory']","['@QuantStack', '@RoseauTechnologies ', '@satellogic', '@uw-edu Applied Physics Laboratory', 'QuantStack']",,0.94,2,2,21,0,5,10,5,2.0,0.0,90.0,0.0,0,29.30759
-269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,84,6,3,Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-12-28,2016-05-17,353,0.23786407766990292,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",2021-06-26,7,"['aldencolerain', 'deeplook', 'deepsource-autofix[bot]', 'deepsourcebot@deepsourcelabs', 'mkgs@investnext', 'quantifiedcode-bot@quantifiedcode']",3,10,"['deepsourcelabs', 'investnext', 'quantifiedcode']","['@deepsourcelabs', '@investnext', 'QuantifiedCode']",,0.0,0,0,82,20,0,0,0,0.0,0.0,90.0,0.0,0,15.91739
-769,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,82,13,3,Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-01-31,2019-02-05,211,0.38836265223274696,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",2023-02-19,226,"['13steinj', 'Damgaard@billy', 'LilSpazJoekp@indeed', 'PythonCoderAS', 'bboe@netflix', 'jarhill0@appfolio', 'leviroth', 'nmtake', 'tmelz', 'voussoir']",4,10,"['appfolio', 'billy', 'indeed', 'netflix']","['@appfolio', '@netflix', 'Billy', 'Indeed, Inc.']",,1.67,34,34,49,0,2,2,2,34.0,6.0,90.0,0.2,0,41.79714
-925,gis,https://github.com/benbovy/spherely,,,,benbovy/spherely,spherely,82,2,4,C++,https://spherely.readthedocs.io/,spherely: Manipulation and analysis of geometric objects on the sphere.,benbovy,2023-02-09,2022-11-24,12,6.377777777777778,[],2023-01-12,2,"['benbovy', 'jorisvandenbossche']",0,10,[],[],,0.79,14,10,3,1,0,0,0,14.0,30.0,90.0,2.1,0,14.05385
-668,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,81,7,2,Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2023-02-09,2021-05-18,92,0.8790697674418605,[],2021-09-17,1,['zorzi-s'],0,10,[],[],,0.0,0,0,21,17,0,0,0,0.0,0.0,90.0,0.0,0,2.4071
-327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,80,21,8,Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2023-01-25,2019-10-10,175,0.45491470349309504,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",2022-12-14,15,"['ButterB0wl@nginxinc', 'DarthHater@sonatype', 'allenhsieh', 'arichtman@silverrail', 'bhamail', 'daviskirk@oniqgmbh', 'jwa5426', 'madpah@sonatypecyclonedx', 'sanzoghenzo', 'therealak12']",5,10,"['nginxinc', 'oniqgmbh', 'silverrail', 'sonatype', 'sonatypecyclonedx']","['@nginxinc ', '@sonatype ', '@sonatype @CycloneDX ', 'ONIQ GmbH', 'SilverRail']",,0.54,6,3,41,2,4,39,4,6.0,4.0,90.0,0.7,0,31.08477
-816,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,80,10,7,Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2023-02-17,2022-10-14,18,4.2748091603053435,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",2023-01-20,4,"['amazon-auto@amazon', 'gilinachum@amazon', 'ivan-khvostishkov@amazonwebservices(aws)']",2,10,"['amazon', 'amazonwebservices(aws)']","['Amazon', 'Amazon Web Services (AWS)']",,0.73,12,6,4,1,5,15,5,12.0,20.0,90.0,1.7,0,23.54515
-584,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,78,20,8,Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2023-02-14,2019-05-14,197,0.39565217391304347,[],2023-02-06,9,"['AndreaGiardini', 'RichardScottOZ@ozminerals', 'andrewharvey@alantgeo', 'christoe@qualicodeconsulting', 'drnextgis@satellogic', 'geospatial-jeff@regrowag', 'kylebarron', 'lseelenbinder@stadiamaps', 'vincentsarago@developmentseed']",7,10,"['alantgeo', 'developmentseed', 'ozminerals', 'qualicodeconsulting', 'regrowag', 'satellogic', 'stadiamaps']","['@developmentseed ', '@regrowag', '@satellogic', '@stadiamaps ', 'Alantgeo', 'OZ Minerals', 'Qualicode Consulting']",,0.5,4,4,46,0,0,11,11,4.0,3.0,90.0,0.8,0,35.85076
-530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,74,13,14,Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2023-02-11,2019-09-29,177,0.4170692431561997,[],2020-02-02,3,"['ShahriyarR@azerbaijanpug', 'brohrer', 'gkaissis@tum,imperialcollege,openmined']",2,10,"['azerbaijanpug', 'tum,imperialcollege,openmined']","['Azerbaijan PUG', 'TUM, Imperial College, OpenMined']",,0.0,0,0,41,37,0,4,4,0.0,0.0,90.0,0.0,0,12.33775
-851,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,74,3,4,Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2023-01-17,2022-10-22,17,4.211382113821138,[],2022-11-02,1,['kshitij12345@quansight'],1,10,['quansight'],['Quansight'],,0.96,3,2,4,4,0,0,0,3.0,7.0,90.0,2.3,0,13.24375
-453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,67,26,10,Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2023-02-19,2021-02-04,106,0.6270053475935828,[],2022-11-29,5,"['hashkanna', 'koshy1123@calthorpeanalytics', 'mbforr@carto', 'remylouisew', 'tjwebb@googlegooglecloudplatform']",3,10,"['calthorpeanalytics', 'carto', 'googlegooglecloudplatform']","['@CalthorpeAnalytics ', '@google @GoogleCloudPlatform ', 'CARTO']",,0.62,1,0,25,3,0,2,2,1.0,1.0,90.0,1.0,0,22.54524
-234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,66,19,12,C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2023-01-30,2019-09-17,179,0.3684210526315789,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",2022-04-01,35,"['cerealkill@sni', 'chirag-parmar@slock.it', 'devrajsinghrawat', 'hu55a1n1', 'jbentke', 'kgeweniger@slock.it', 'leonardostsouza', 'leonardotc', 'simon-jentzsch@blockchains', 'unparalleled-js']",3,10,"['blockchains', 'slock.it', 'sni']","['@SNI', '@slock.it', 'Blockchains LLC', 'Slock.it']",,0.87,2,0,42,11,0,27,27,2.0,2.0,90.0,1.0,0,30.48011
-568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,64,4,2,Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-12-13,2020-04-13,149,0.42870813397129187,[],2021-03-05,1,['gboeing@universityofsoutherncalifornia'],1,10,['universityofsoutherncalifornia'],['University of Southern California'],,0.0,0,0,35,24,0,0,0,0.0,0.0,90.0,0.0,0,6.21011
-968,math,https://github.com/albahnsen/pycircular,1.0,,,albahnsen/pycircular,pycircular,60,3,5,Python,,pycircular is a Python module for circular data analysis,albahnsen,2023-02-20,2022-09-12,23,2.576687116564417,[],2023-01-21,5,"['albahnsen', 'jdacevedo3010', 'jussalcedoga']",0,10,[],[],,0.83,13,3,5,1,1,2,1,13.0,0.0,90.0,0.0,0,12.69101
-535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,60,1,3,Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2023-02-20,2022-01-20,56,1.0552763819095476,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",2022-08-07,3,"['csaybar@emcdestudent', 'davemlz@rsc4earth|universityofleipzig', 'duckontheweb@regrowag']",3,10,"['emcdestudent', 'regrowag', 'rsc4earth|universityofleipzig']","['@regrowag', 'EMCDE Student', 'RSC4Earth | University of Leipzig']",,0.08,0,0,13,7,1,1,1,0.0,0.0,90.0,0.0,0,13.37216
-912,security,https://github.com/abnamro/repository-scanner,,,,abnamro/repository-scanner,repository-scanner,57,2,6,Python,,repository-scanner: Tool to detect secrets in source code management systems.,abnamro,2023-02-19,2022-09-08,23,2.3892215568862274,[],2023-02-21,6,"['DamienVermaas', 'Peter-v-d-Spek', 'Usman2ABN', 'ajaikuruppath', 'amrityamrout', 'b-abderrahmane-abnamro']",0,10,[],[],,0.73,38,36,6,0,5,10,5,38.0,2.0,90.0,0.1,0,19.70884
-521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,57,14,4,Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2023-02-10,2018-09-05,233,0.2446351931330472,[],2020-09-03,2,"['Lydorn', 'netsimilarity']",0,10,[],[],,0.0,0,0,54,30,0,0,0,0.0,0.0,90.0,0.0,0,4.44142
-854,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2019-09-18,179,0.30726256983240224,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",2022-09-22,10,"['MTullbergDebricked', 'Martomate', 'OskarHandmark@backticktechnologies', 'dependabot[bot]', 'emil-debricked', 'emilwareus', 'fredrikolsson96@backticktechnologies', 'johanhenriksson', 'michalstypa@backticktechnologies']",1,10,['backticktechnologies'],['Backtick Technologies'],,0.25,6,0,42,5,3,13,3,6.0,0.0,90.0,0.0,0,19.0544
-400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,53,8,3,HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2023-02-17,2020-06-20,139,0.3797338792221085,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",2023-02-11,2,"['dependabot[bot]', 'dylanhogg@infocruncher']",1,10,['infocruncher'],['Infocruncher'],,1.54,2,2,33,0,0,2,2,2.0,0.0,90.0,0.0,0,20.15192
-326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,52,93,10,Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2023-01-20,2019-02-03,211,0.24594594594594596,"['snyk', 'python', 'api']",2023-01-20,30,"['colinbarr@paddlehq', 'garethr@snyk', 'jdewinne@replicated.com', 'jgresty', 'lili2311@snyk', 'maxjeffos', 'mnimmny', 'mrzarquon@gitpod-io', 'nirfuchs@snyk', 'xavierxmorris']",4,10,"['gitpod-io', 'paddlehq', 'replicated.com', 'snyk']","['@PaddleHQ', '@gitpod-io ', '@snyk', '@snyk ', 'Snyk', 'replicated.com']",,0.56,28,16,49,1,8,5,8,28.0,21.0,90.0,0.8,0,36.73425
-401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,46,15,4,Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2023-02-18,2021-09-27,73,0.6276803118908382,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",2023-02-13,1,['dylanhogg@infocruncher'],1,10,['infocruncher'],['Infocruncher'],,0.33,0,0,17,0,0,1,1,0.0,0.0,90.0,0.0,0,14.12879
-924,gis,https://github.com/radiantearth/radiant-mlhub,,,,radiantearth/radiant-mlhub,radiant-mlhub,46,10,5,Python,https://radiant-mlhub.readthedocs.io/,radiant-mlhub: A Python client for the Radiant MLHub API (https://mlhub.earth).,radiantearth,2023-02-02,2020-10-13,123,0.37354988399071926,"['machine-learning', 'satellite-imagery', 'python', 'python-client', 'python-3', 'stac']",2023-02-13,9,"['PowerChell@radiantearth', 'adamjstewart@universityofillinoisaturbana-champaign', 'dependabot[bot]', 'duckontheweb@regrowag', 'guidorice@regrow', 'kbgg@radiantearth', 'rowenarono95']",4,10,"['radiantearth', 'regrow', 'regrowag', 'universityofillinoisaturbana-champaign']","['@radiantearth ', '@regrowag', 'Regrow', 'University of Illinois at Urbana-Champaign']",,1.44,12,8,29,0,7,8,7,12.0,7.0,90.0,0.6,0,33.11436
-202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,45,10,1,Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2023-02-19,2021-03-13,101,0.4430379746835443,[],2023-01-21,1,['nerolation@viennauniversityofeconomicsandbusiness(wu)'],1,10,['viennauniversityofeconomicsandbusiness(wu)'],['Vienna University of Economics and Business (WU)'],,1.69,0,0,24,1,0,0,0,0.0,0.0,90.0,0.0,0,13.1966
-776,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,40,27,11,Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2023-02-15,2017-02-14,314,0.1273306048203729,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",2021-11-19,9,"['bettinardi@oregondepartmentoftransportation', 'binnympaul', 'blakerosenthal', 'bstabler@ptvgroup', 'jamiecook', 'jfdman', 'johnklawlor', 'toliwaga']",2,10,"['oregondepartmentoftransportation', 'ptvgroup']","['Oregon Department of Transportation', 'PTV Group']",,0.0,5,1,73,15,0,1,1,5.0,4.0,90.0,0.8,0,20.95529
-979,sim,https://github.com/glpcc/pokerpy,,,,glpcc/pokerpy,PokerPy,40,4,1,C++,,PokerPy: Texas Hold'em Poker Probability Calculator in Python,glpcc,2023-02-10,2022-12-11,10,3.835616438356164,"['cpp', 'fast', 'performance', 'poker', 'pybind11', 'python', 'texas-holdem']",2023-02-10,2,"['glpcc@universidadpolitécnicademadrid', 'luigibrancati']",1,10,['universidadpolitécnicademadrid'],['Universidad Politécnica de Madrid'],,1.08,1,1,2,0,0,0,0,1.0,8.0,90.0,8.0,0,20.65858
-821,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,39,3,4,Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2023-02-15,2020-10-26,121,0.3215547703180212,[],2022-12-16,1,['ddelange'],0,10,[],[],,0.29,5,4,28,2,9,8,9,5.0,8.0,90.0,1.6,0,18.42685
-940,data,https://github.com/scylladb/python-driver,,,,scylladb/python-driver,python-driver,38,27,6,Python,https://python-driver.docs.scylladb.com,"python-driver: ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra",scylladb,2023-02-02,2018-11-20,222,0.17106109324758842,"['scylladb', 'python']",2023-02-15,204,"['GregBestland', 'TheRealFalcon@canonical', 'aboudreault@kovarogroup', 'aholmberg', 'bdeggleston@apple', 'fruch@scylladb', 'joaquincasares@audiusproject', 'mambocab@rapid7', 'rustyrazorblade@apple', 'thobbs@anticlassicstudios']",7,10,"['anticlassicstudios', 'apple', 'audiusproject', 'canonical', 'kovarogroup', 'rapid7', 'scylladb']","['@AudiusProject', '@scylladb', 'Anticlassic Studios, LLC', 'Apple', 'Canonical', 'Kovaro Group', 'Rapid7']",,1.75,36,23,52,0,0,26,26,36.0,67.0,90.0,1.9,0,51.45826
-386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,36,5,1,Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2023-02-07,2020-11-19,117,0.3054545454545455,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",2022-09-28,4,['FerdinandZhong'],0,10,[],[],,0.17,0,0,27,5,2,2,2,0.0,0.0,90.0,0.0,0,10.45315
-918,ml-ops,https://github.com/anyscale/airflow-provider-ray,,,,anyscale/airflow-provider-ray,airflow-provider-ray,32,10,13,Python,,airflow-provider-ray: Ray provider for Apache Airflow,anyscale,2022-11-16,2021-03-05,102,0.31154381084840055,[],2021-10-03,8,"['dimberman@astronomerio', 'mrrobby@advocatingdistributeddataplatforms', 'petedejoy@astronomer', 'pgzmnk@astronomer.io', 'richardliaw@anyscale', 'sunkickr@astronomer']",5,10,"['advocatingdistributeddataplatforms', 'anyscale', 'astronomer', 'astronomer.io', 'astronomerio']","['@anyscale', '@astronomer', '@astronomerio', 'Advocating Distributed Data Platforms', 'Astronomer', 'Astronomer.io']",,0.0,1,0,24,17,0,0,0,1.0,3.0,90.0,3.0,0,22.02763
-333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,2,3,Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2021-12-16,61,0.5173210161662818,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",2023-01-14,4,"['Gondolav', 'dependabot[bot]', 'm-doescode', 'samuelchassot@epfl']",1,10,['epfl'],['EPFL'],,0.71,25,20,14,1,1,6,1,25.0,30.0,90.0,1.2,0,22.63874
-921,util,https://github.com/python-odin/odin,,,,python-odin/odin,odin,29,7,3,Python,https://odin.readthedocs.org/en/latest/,"odin: Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python",python-odin,2023-02-14,2013-08-20,496,0.05845090699683271,"['python', 'validation', 'data-structures', 'data-mapping', 'serialize', 'de-serialize', 'json', 'csv', 'msgpack', 'xml', 'yaml']",2023-02-19,8,"['dependabot-preview[bot]', 'dependabot[bot]', 'pyup-bot@pyupio', 'thedrow', 'timsavage@westpac']",2,10,"['pyupio', 'westpac']","['@pyupio', 'Westpac']",,2.21,11,9,116,0,12,7,12,11.0,13.0,90.0,1.2,0,36.35804
-711,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,29,1,7,Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-12-22,2019-10-24,173,0.16680361544782252,[],2021-06-28,6,"['Hyrae', 'frapac@argonnenationallaboratory']",1,10,['argonnenationallaboratory'],['Argonne National Laboratory'],,0.0,0,0,41,20,0,2,2,0.0,0.0,90.0,0.0,0,12.43753
-502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2021-05-21,91,0.3052959501557632,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",2022-12-03,1,['gregorhd@gafag'],1,10,['gafag'],['GAF AG'],,0.04,0,0,21,3,0,2,2,0.0,0.0,90.0,0.0,0,11.52513
-934,ml,https://github.com/pgniewko/forward_forward_vhts,,,,pgniewko/forward_forward_vhts,forward_forward_vhts,28,5,1,Jupyter Notebook,,forward_forward_vhts: The Forward-Forward Algorithm for Drug Discovery,pgniewko,2023-02-18,2022-12-29,7,3.5636363636363635,[],2022-12-30,1,['pgniewko@atomwise'],1,10,['atomwise'],"['Atomwise, Inc.']",,0.12,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,0,6.46599
-894,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,28,9,9,Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2023-01-31,2016-03-22,361,0.07753164556962025,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",2020-01-02,7,"['jaantollander@aaltouniversity', 'pyup-bot@pyupio']",2,10,"['aaltouniversity', 'pyupio']","['@pyupio', 'Aalto University']",,0.0,1,0,84,38,0,0,0,1.0,0.0,90.0,0.0,0,13.52448
-578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,25,5,0,Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2023-02-16,2021-12-04,63,0.39325842696629215,[],2022-01-30,10,"['Robpol86', 'aleivag', 'bcho', 'kovacsbalu', 'liiight', 'matthewdeanmartin', 'mgorny@projg2', 'msabramo@adobe', 'zqqf16']",2,10,"['adobe', 'projg2']","['@adobe', '@projg2']",,0.0,1,0,15,13,0,12,12,1.0,0.0,90.0,0.0,0,17.39845
-688,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,4,1,Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2023-02-11,2022-03-22,48,0.47774480712166173,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",2023-02-19,3,"['JerryYLi', 'rpand002@mit-ibmwatsonailab']",1,10,['mit-ibmwatsonailab'],['MIT-IBM Watson AI Lab'],,0.33,1,1,11,0,2,2,2,1.0,2.0,90.0,2.0,0,21.3917
-37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2014-08-04,446,0.0470550576184379,[],2022-11-02,8,"['jszymon', 'mkorzen1729', 'ricardoV94']",0,10,[],[],,0.04,1,0,104,4,0,0,0,1.0,0.0,90.0,0.0,0,14.08397
-840,data,https://github.com/codait/pardata,,,,codait/pardata,pardata,18,5,11,Python,https://pardata.readthedocs.io/en/latest/,codait/pardata,codait,2022-08-14,2020-11-17,118,0.1523579201934704,"['dataset', 'python', 'machine-learning', 'artificial-intelligence', 'data-science']",2021-12-01,7,"['cclauss@christianclauss', 'dependabot[bot]', 'djalova', 'edwardleardi@ibmcodait', 'renovate[bot]', 'tlzhu19@ibm', 'xuhdev@google']",4,10,"['christianclauss', 'google', 'ibm', 'ibmcodait']","['@Google', '@IBM @CODAIT ', 'Christian Clauss', 'IBM']",,0.0,0,0,28,15,0,3,3,0.0,0.0,90.0,0.0,0,17.57394
-919,study,https://github.com/anyscale/rl-course,,,,anyscale/rl-course,rl-course,17,0,5,Jupyter Notebook,,anyscale/rl-course,anyscale,2023-02-07,2022-03-01,51,0.3324022346368715,[],2023-01-02,2,['maxpumperla'],0,10,[],[],,4.96,0,0,12,2,0,0,0,0.0,0.0,90.0,0.0,0,9.67179
-669,gis,https://github.com/zorzi-s/maprepair,,,,zorzi-s/maprepair,MapRepair,17,4,2,Python,,MapRepair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images,zorzi-s,2023-02-17,2020-07-30,133,0.12700106723585913,[],2021-05-17,1,['zorzi-s'],0,10,[],[],,0.0,0,0,31,22,0,0,0,0.0,0.0,90.0,0.0,0,2.72495
-679,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2021-01-21,108,0.14698162729658792,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",2023-01-30,2,"['MarkHershey', 'lambdaofgod']",0,10,[],[],,0.37,1,0,25,1,1,3,1,1.0,1.0,90.0,1.0,0,14.52017
-892,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,16,5,5,Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2023-01-26,2022-09-15,22,0.7,"['package-installer', 'pyodide', 'python', 'webassembly']",2023-02-20,6,"['hoodmane@mitmathdepartment', 'joemarshall', 'mentalisttraceur', 'pre-commit-ci[bot]', 'rth', 'ryanking13']",1,10,['mitmathdepartment'],['MIT Math Department'],,0.71,30,27,5,0,0,7,7,30.0,37.0,90.0,1.2,0,25.81524
-702,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-12-16,2019-08-05,185,0.05397070161912105,[],2022-01-25,6,"['erteich', 'harangju']",0,10,[],[],,0.0,0,0,43,13,0,0,0,0.0,0.0,90.0,0.0,0,8.18476
-608,typing,https://github.com/tk0miya/docutils-stubs,,,,tk0miya/docutils-stubs,docutils-stubs,7,5,6,Python,,tk0miya/docutils-stubs,tk0miya,2022-01-02,2018-11-02,224,0.031150667514303877,[],2022-01-02,6,"['Huy-Ngo', 'McSinyx@unist', 'cocoatomo', 'danieleades', 'flying-sheep@cellarity', 'tk0miya@timeintermedia(timedia)']",3,10,"['cellarity', 'timeintermedia(timedia)', 'unist']","['@Cellarity', 'Time Intermedia (@timedia)', 'UNIST']",,0.0,0,0,52,14,0,4,4,0.0,0.0,90.0,0.0,0,18.14607
-920,ml-ops,https://github.com/anyscale/prefect-anyscale,,,,anyscale/prefect-anyscale,prefect-anyscale,6,1,3,Python,,prefect-anyscale: Prefect integration with Anyscale,anyscale,2023-02-20,2022-11-07,15,0.3925233644859813,[],2023-02-15,1,['pcmoritz@anyscale'],1,10,['anyscale'],['Anyscale'],,0.44,10,8,4,0,8,24,8,10.0,4.0,90.0,0.4,0,18.40751
-180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,6,5,3,Python,,dynpy: Dynamical systems for Python,artemyk,2022-12-27,2014-09-12,440,0.013614262560777957,[],2018-09-28,5,"['artemyk', 'gdmcbain']",0,10,[],[],,0.0,0,0,103,54,0,0,0,0.0,0.0,90.0,0.0,0,6.51255
-911,data,https://github.com/malloydata/malloy-py,,,,malloydata/malloy-py,malloy-py,3,1,4,Python,,malloy-py: Python package for executing Malloy,malloydata,2023-02-07,2022-11-02,16,0.1875,"['business-analytics', 'business-intelligence', 'data', 'data-modeling', 'python', 'sql', 'semantic-modeling']",2023-01-17,1,['gmaden'],0,10,[],[],,1.02,1,0,4,1,1,15,1,1.0,1.0,90.0,1.0,0,10.01689
-526,gis,https://github.com/lycantropos/wagyu,,,,lycantropos/wagyu,wagyu,3,2,1,Python,https://github.com/mapbox/wagyu,wagyu: Python port of mapbox/wagyu library (with separate C++ binding),lycantropos,2022-07-19,2020-06-30,138,0.02171664943123061,[],2020-11-21,2,"['lycantropos', 'synapticarbors']",0,10,[],[],,0.0,0,0,32,27,0,2,2,0.0,0.0,90.0,0.0,0,5.39877
-420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2020-02-12,158,0.006329113924050633,"['python', 'template', 'jupyterlab', 'cookiecutter']",2022-08-19,2,"['dependabot[bot]', 'dylanhogg@infocruncher']",1,10,['infocruncher'],['Infocruncher'],,0.04,2,0,37,6,0,1,1,2.0,0.0,90.0,0.0,0,12.64824
-751,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,1,0,2,Python,,edomel/boundaryvt,edomel,2022-12-19,2022-07-29,29,0.03365384615384615,[],2023-01-11,3,"['ajadchhatkuli@ethzurich', 'edomel']",1,10,['ethzurich'],['ETH Zurich'],,0.13,1,0,7,0,0,0,0,1.0,1.0,90.0,1.0,0,15.95957
+,category,githuburl,featured,links,description,_repopath,_reponame,_stars,_forks,_watches,_language,_homepage,_description,_organization,_updated_at,_created_at,_age_weeks,_stars_per_week,_topics,_last_commit_date,_pop_contributor_count,_pop_contributor_orgs_len,_pop_commit_frequency,_pop_updated_issues_count,_pop_closed_issues_count,_pop_created_since_days,_pop_updated_since_days,_pop_recent_releases_count,_pop_recent_releases_estimated_tags,_pop_recent_releases_adjusted_count,_pop_issue_count,_pop_comment_count,_pop_comment_count_lookback_days,_pop_comment_frequency,_pop_score
+89,ml-dl,https://github.com/tensorflow/tensorflow,,,,tensorflow/tensorflow,tensorflow,171770,87871,7751,C++,https://tensorflow.org,tensorflow: An Open Source Machine Learning Framework for Everyone,tensorflow,2023-03-04,2015-11-07,382,449.4915887850467,"['tensorflow', 'machine-learning', 'python', 'deep-learning', 'deep-neural-networks', 'neural-network', 'ml', 'distributed']",2023-03-03,4289,3,325.92,2233,1404,89,0,27,26,27,2233.0,6488.0,90.0,2.9,96.35175
+112,nlp,https://github.com/huggingface/transformers,,,,huggingface/transformers,transformers,83475,18339,912,Python,https://huggingface.co/transformers,"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",huggingface,2023-03-04,2018-10-29,226,367.96284634760707,"['nlp', 'natural-language-processing', 'pytorch', 'language-model', 'tensorflow', 'bert', 'language-models', 'pytorch-transformers', 'nlp-library', 'transformer', 'model-hub', 'pretrained-models', 'jax', 'flax', 'seq2seq', 'speech-recognition', 'hacktoberfest', 'python', 'machine-learning', 'deep-learning']",2023-03-03,1760,3,58.1,1951,1647,53,0,21,27,21,1951.0,5819.0,90.0,3.0,92.46275
+76,ml-dl,https://github.com/pytorch/pytorch,,,,pytorch/pytorch,pytorch,63350,17591,1632,C++,https://pytorch.org,pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration,pytorch,2023-03-04,2016-08-13,342,185.15657620041753,"['neural-network', 'autograd', 'gpu', 'numpy', 'deep-learning', 'tensor', 'python', 'machine-learning']",2023-03-04,3877,3,227.54,8177,5689,80,0,5,114,5,8179.0,32072.0,22.0,3.9,90.27869
+399,util,https://github.com/python/cpython,,,,python/cpython,cpython,50982,25966,1473,Python,https://www.python.org/,cpython: The Python programming language,python,2023-03-04,2017-02-10,316,161.18970189701898,[],2023-03-04,2388,7,66.52,3749,2456,74,0,0,88,88,3756.0,8741.0,90.0,2.3,88.55223
+757,diffusion,https://github.com/invoke-ai/invokeai,,,,invoke-ai/invokeai,InvokeAI,11435,1296,131,Jupyter Notebook,https://invoke-ai.github.io/InvokeAI/,"InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.",invoke-ai,2023-03-04,2022-08-17,28,400.225,"['ai-art', 'artificial-intelligence', 'generative-art', 'image-generation', 'img2img', 'inpainting', 'latent-diffusion', 'linux', 'macos', 'outpainting', 'txt2img', 'windows', 'stable-diffusion']",2023-03-04,185,4,49.25,1041,646,7,0,15,167,15,1041.0,2865.0,90.0,2.8,86.93723
+189,util,https://github.com/home-assistant/core,,,,home-assistant/core,core,58588,22223,1352,Python,https://www.home-assistant.io,core: :house_with_garden: Open source home automation that puts local control and privacy first.,home-assistant,2023-03-04,2013-09-17,493,118.66782407407408,"['python', 'home-automation', 'iot', 'internet-of-things', 'mqtt', 'raspberry-pi', 'asyncio', 'hacktoberfest']",2023-03-04,3579,3,234.08,8883,6158,115,0,183,114,183,8884.0,23480.0,22.0,2.6,86.91792
+958,util,https://github.com/charliermarsh/ruff,,,,charliermarsh/ruff,ruff,9508,302,48,Rust,https://beta.ruff.rs,"ruff: An extremely fast Python linter, written in Rust.",charliermarsh,2023-03-04,2022-08-09,29,319.9807692307692,"['linter', 'pep8', 'python', 'python3', 'rust', 'rustpython', 'static-analysis', 'static-code-analysis', 'style-guide', 'styleguide', 'ruff']",2023-03-04,139,5,52.37,2402,2187,7,0,234,408,234,2404.0,5178.0,90.0,2.2,85.71345
+928,nlp,https://github.com/acheong08/chatgpt,,,,acheong08/chatgpt,ChatGPT,19819,3052,210,Python,,ChatGPT: Reverse engineered ChatGPT API,acheong08,2023-03-04,2022-12-03,13,1507.9673913043478,"['chatgpt', 'cli', 'library', 'pypi-package', 'gptchat', 'revchatgpt']",2023-03-04,104,3,19.37,812,795,3,0,167,710,167,813.0,4225.0,90.0,5.2,85.30714
+988,nlp,https://github.com/laion-ai/open-assistant,1.0,,,laion-ai/open-assistant,Open-Assistant,17736,1338,270,Python,https://open-assistant.io,"Open-Assistant: OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.",laion-ai,2023-03-05,2022-12-13,11,1514.0487804878048,"['chatgpt', 'language-model', 'rlhf', 'ai', 'assistant', 'discord-bot', 'machine-learning', 'nextjs', 'python']",2023-03-04,200,2,39.04,1944,1609,3,0,70,284,70,1944.0,4700.0,90.0,2.4,83.98793
+778,diffusion,https://github.com/huggingface/diffusers,,,,huggingface/diffusers,diffusers,11238,2215,119,Python,https://huggingface.co/docs/diffusers,🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch,huggingface,2023-03-04,2022-05-30,39,281.9569892473118,"['deep-learning', 'diffusion', 'image-generation', 'pytorch', 'score-based-generative-modeling', 'image2image', 'text2image', 'stable-diffusion', 'hacktoberfest']",2023-03-03,233,2,33.21,1289,1025,9,0,30,47,30,1289.0,4605.0,90.0,3.6,83.56886
+405,study,https://github.com/thealgorithms/python,,,,thealgorithms/python,Python,154597,39224,5966,Python,https://the-algorithms.com/,Python: All Algorithms implemented in Python,thealgorithms,2023-03-04,2016-07-16,346,446.62773421378455,"['python', 'algorithm', 'algorithms-implemented', 'algorithm-competitions', 'algos', 'sorts', 'searches', 'sorting-algorithms', 'education', 'learn', 'practice', 'community-driven', 'interview', 'hacktoberfest']",2023-03-02,978,6,6.62,167,109,81,0,0,0,0,167.0,176.0,90.0,1.1,82.84274
+179,term,https://github.com/willmcgugan/rich,,,,willmcgugan/rich,rich,42276,1505,544,Python,https://rich.readthedocs.io/en/latest/,Rich is a Python library for rich text and beautiful formatting in the terminal.,willmcgugan,2023-03-04,2019-11-10,173,244.36994219653178,"['python', 'python3', 'python-library', 'terminal', 'terminal-color', 'markdown', 'tables', 'syntax-highlighting', 'ansi-colors', 'progress-bar-python', 'progress-bar', 'traceback', 'rich', 'tracebacks-rich', 'emoji', 'tui']",2023-03-04,216,6,11.75,184,140,40,0,20,45,20,184.0,414.0,90.0,2.2,82.8135
+14,web,https://github.com/django/django,,,,django/django,django,69086,28735,2266,Python,https://www.djangoproject.com/,django: The Web framework for perfectionists with deadlines.,django,2023-03-04,2012-04-28,566,122.02927075447893,"['python', 'django', 'web', 'framework', 'orm', 'templates', 'models', 'views', 'apps']",2023-03-04,2886,6,18.52,349,305,132,0,0,34,34,351.0,776.0,90.0,2.2,82.63262
+118,ml-ops,https://github.com/apache/airflow,,,,apache/airflow,airflow,29349,12007,758,Python,https://airflow.apache.org/,"airflow: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows",apache,2023-03-04,2015-04-13,411,71.26014568158169,"['airflow', 'apache', 'apache-airflow', 'python', 'scheduler', 'workflow', 'hacktoberfest']",2023-03-03,2747,7,70.13,2129,1623,96,0,16,354,16,2127.0,5075.0,90.0,2.4,81.9801
+40,ml-dl,https://github.com/keras-team/keras,,,,keras-team/keras,keras,57473,19305,1923,Python,http://keras.io/,keras: Deep Learning for humans,keras-team,2023-03-04,2015-03-28,414,138.77578475336324,"['deep-learning', 'tensorflow', 'neural-networks', 'machine-learning', 'data-science', 'python']",2023-03-02,1163,4,19.48,494,354,97,0,11,9,11,494.0,1080.0,90.0,2.2,81.87413
+981,nlp,https://github.com/hwchase17/langchain,,,,hwchase17/langchain,langchain,9178,810,137,Python,,langchain: ⚡ Building applications with LLMs through composability ⚡,hwchase17,2023-03-05,2022-10-17,19,462.2014388489209,[],2023-03-04,145,4,14.1,1178,897,5,0,38,92,38,1178.0,993.0,90.0,0.8,81.41222
+135,web,https://github.com/tiangolo/fastapi,1.0,,,tiangolo/fastapi,fastapi,55127,4572,616,Python,https://fastapi.tiangolo.com/,"FastAPI framework, high performance, easy to learn, fast to code, ready for production",tiangolo,2023-03-04,2018-12-08,221,249.28229974160206,"['python', 'json', 'swagger-ui', 'redoc', 'starlette', 'openapi', 'api', 'openapi3', 'framework', 'async', 'asyncio', 'uvicorn', 'python3', 'python-types', 'pydantic', 'json-schema', 'fastapi', 'swagger', 'rest', 'web']",2023-03-04,418,2,13.92,3707,3446,52,0,26,35,26,3708.0,1897.0,90.0,0.5,81.02667
+78,ml,https://github.com/scikit-learn/scikit-learn,,,,scikit-learn/scikit-learn,scikit-learn,53184,24000,2155,Python,https://scikit-learn.org,scikit-learn: machine learning in Python,scikit-learn,2023-03-04,2010-08-17,654,81.23238053676631,"['machine-learning', 'python', 'statistics', 'data-science', 'data-analysis']",2023-03-03,2871,8,30.88,964,630,153,0,6,10,6,964.0,2141.0,90.0,2.2,80.8677
+228,term,https://github.com/willmcgugan/textual,,,,willmcgugan/textual,textual,17946,525,157,Python,https://textual.textualize.io/,Textual is a TUI (Text User Interface) framework for Python inspired by modern web development.,willmcgugan,2023-03-04,2021-04-08,99,180.49137931034483,"['terminal', 'python', 'tui', 'rich', 'cli', 'framework']",2023-03-03,70,5,76.73,628,529,23,0,22,15,22,628.0,1203.0,90.0,1.9,80.83277
+865,ml-dl,https://github.com/hpcaitech/colossalai,,,,hpcaitech/colossalai,ColossalAI,17548,1853,206,Python,https://www.colossalai.org/,"ColossalAI: Making large AI models cheaper, faster and more accessible",hpcaitech,2023-03-04,2021-10-28,70,249.16024340770792,"['deep-learning', 'hpc', 'large-scale', 'data-parallelism', 'pipeline-parallelism', 'model-parallelism', 'ai', 'big-model', 'distributed-computing', 'inference', 'heterogeneous-training', 'foundation-models']",2023-03-04,100,4,36.58,1013,847,16,0,24,20,24,1013.0,1063.0,90.0,1.0,80.47726
+836,diffusion,https://github.com/automatic1111/stable-diffusion-webui,,,,automatic1111/stable-diffusion-webui,stable-diffusion-webui,43329,8008,402,Python,,stable-diffusion-webui: Stable Diffusion web UI,automatic1111,2023-03-04,2022-08-22,27,1555.4,[],2023-02-20,352,0,55.06,3002,1703,6,0,1,2,1,3003.0,8742.0,90.0,2.9,80.10746
+252,ml-dl,https://github.com/pytorchlightning/pytorch-lightning,1.0,,,pytorchlightning/pytorch-lightning,lightning,21777,2761,229,Python,https://lightning.ai,"lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast.",pytorchlightning,2023-03-04,2019-03-31,205,106.22926829268293,"['python', 'deep-learning', 'artificial-intelligence', 'ai', 'pytorch', 'data-science', 'machine-learning']",2023-03-03,834,5,43.46,1349,1036,48,0,44,45,44,1349.0,2163.0,90.0,1.6,79.84615
+914,ml-ops,https://github.com/ray-project/ray,,,,ray-project/ray,ray,24399,4238,441,Python,https://ray.io,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.,ray-project,2023-03-04,2016-10-25,331,73.55426356589147,"['ray', 'distributed', 'parallel', 'machine-learning', 'reinforcement-learning', 'deep-learning', 'python', 'rllib', 'hyperparameter-search', 'optimization', 'data-science', 'automl', 'hyperparameter-optimization', 'model-selection', 'java', 'serving', 'deployment', 'pytorch', 'tensorflow']",2023-03-04,822,5,87.19,3532,2130,77,0,10,11,10,3534.0,5158.0,90.0,1.5,79.17062
+1027,finance,https://github.com/openbb-finance/openbbterminal,1.0,,,openbb-finance/openbbterminal,OpenBBTerminal,19426,2023,239,Python,https://openbb.co,"OpenBBTerminal: Investment Research for Everyone, Anywhere.",openbb-finance,2023-03-05,2020-12-20,115,168.9217391304348,"['python', 'investment', 'machine-learning', 'artificial-intelligence', 'finance', 'cryptocurrency', 'investment-research', 'stocks', 'quantitative-finance', 'economics', 'crypto', 'openbb']",2023-03-04,175,3,37.81,767,629,27,0,20,10,20,767.0,1152.0,90.0,1.5,78.7193
+59,pandas,https://github.com/pandas-dev/pandas,1.0,,,pandas-dev/pandas,pandas,37060,15845,1105,Python,https://pandas.pydata.org,"pandas: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more",pandas-dev,2023-03-04,2010-08-24,653,56.69143356643357,"['data-analysis', 'pandas', 'flexible', 'alignment', 'python', 'data-science']",2023-03-04,3245,4,49.38,2610,1899,152,0,9,13,9,2611.0,5867.0,90.0,2.2,78.12771
+716,perf,https://github.com/pola-rs/polars,1.0,,,pola-rs/polars,polars,14809,751,126,Rust,https://pola.rs/,"polars: Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js",pola-rs,2023-03-04,2020-05-13,146,101.03606237816764,"['dataframe-library', 'dataframe', 'dataframes', 'rust', 'arrow', 'python', 'out-of-core']",2023-03-03,184,4,45.0,1851,1534,34,0,47,130,47,1851.0,3613.0,90.0,2.0,77.5989
+350,ml-dl,https://github.com/paddlepaddle/paddle,,,,paddlepaddle/paddle,Paddle,19707,5002,731,C++,http://www.paddlepaddle.org/,Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）,paddlepaddle,2023-03-04,2016-08-15,341,57.64688675302967,"['paddlepaddle', 'deep-learning', 'scalability', 'machine-learning', 'neural-network', 'python', 'efficiency', 'distributed-training']",2023-03-03,940,6,111.33,4831,3931,80,0,6,11,6,4831.0,5960.0,90.0,1.2,77.3323
+257,crypto,https://github.com/ccxt/ccxt,,,,ccxt/ccxt,ccxt,27419,6729,940,JavaScript,,ccxt: A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges,ccxt,2023-03-04,2017-05-14,303,90.49174917491749,"['altcoin', 'api', 'arbitrage', 'bitcoin', 'bot', 'cryptocurrency', 'crypto', 'e-commerce', 'ethereum', 'exchange', 'invest', 'library', 'strategy', 'trading', 'btc', 'eth', 'trade', 'merchant', 'market-data']",2023-03-04,724,1,202.77,1449,1140,71,0,0,100,100,1449.0,2183.0,90.0,1.5,77.1637
+255,crypto,https://github.com/freqtrade/freqtrade,,,,freqtrade/freqtrade,freqtrade,20908,4495,595,Python,https://www.freqtrade.io,"freqtrade: Free, open source crypto trading bot",freqtrade,2023-03-04,2017-05-17,302,69.10103871576959,"['python', 'cryptocurrencies', 'trading-bot', 'telegram-bot', 'bitcoin', 'trade', 'cryptocurrency', 'algorithmic-trading', 'freqtrade']",2023-03-03,293,5,64.81,472,446,71,0,16,13,16,472.0,1317.0,90.0,2.8,77.13691
+980,nlp,https://github.com/acheong08/edgegpt,,,,acheong08/edgegpt,EdgeGPT,2357,228,34,Python,,EdgeGPT: Reverse engineered API of Microsoft's Bing Chat,acheong08,2023-03-05,2023-02-09,3,687.4583333333334,"['chatgpt', 'gpt', 'reverse-engineering', 'binggpt', 'edge', 'edgegpt']",2023-03-05,14,3,2.63,101,90,1,0,29,365,29,101.0,468.0,90.0,4.6,77.12203
+64,util,https://github.com/psf/black,,,,psf/black,black,31523,2033,230,Python,https://black.readthedocs.io/en/stable/,black: The uncompromising Python code formatter,psf,2023-03-04,2018-03-14,259,121.44248761695101,"['python', 'code', 'formatter', 'codeformatter', 'gofmt', 'yapf', 'autopep8', 'pre-commit-hook', 'hacktoberfest']",2023-02-27,360,6,4.56,317,176,60,0,7,9,7,317.0,593.0,90.0,1.9,76.52985
+603,web,https://github.com/pyscript/pyscript,,,,pyscript/pyscript,pyscript,15525,1166,175,Python,https://github.com/pyscript/pyscript/discussions,pyscript: Home Page: https://pyscript.net  Examples: https://pyscript.net/examples,pyscript,2023-03-04,2022-02-21,53,288.262599469496,"['python', 'html', 'javascript', 'wasm']",2023-03-03,99,2,13.13,277,215,13,0,4,4,4,277.0,399.0,90.0,1.4,76.40386
+137,nlp,https://github.com/huggingface/datasets,,,,huggingface/datasets,datasets,15388,2044,261,Python,https://huggingface.co/docs/datasets,"datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools",huggingface,2023-03-04,2020-03-26,153,100.29422718808193,"['nlp', 'datasets', 'metrics', 'evaluation', 'pytorch', 'tensorflow', 'pandas', 'numpy', 'natural-language-processing', 'computer-vision', 'machine-learning', 'deep-learning', 'speech', 'hacktoberfest']",2023-03-03,497,3,17.1,382,280,36,0,22,24,22,382.0,1130.0,90.0,3.0,76.38979
+906,web,https://github.com/pynecone-io/pynecone,,,,pynecone-io/pynecone,pynecone,5577,188,57,Python,https://pynecone.io,pynecone: 🕸 Web apps in pure Python 🐍,pynecone-io,2023-03-04,2022-10-25,18,298.00763358778624,"['fullstack', 'python', 'webdev', 'framework', 'web', 'python-library', 'python3', 'open-source', 'infrastructure']",2023-03-04,32,3,4.35,520,408,4,0,11,33,11,520.0,845.0,90.0,1.6,75.72413
+550,ml,https://github.com/open-mmlab/mmdetection,,,,open-mmlab/mmdetection,mmdetection,23179,8406,363,Python,https://mmdetection.readthedocs.io,mmdetection: OpenMMLab Detection Toolbox and Benchmark,open-mmlab,2023-03-04,2018-08-22,236,97.97886473429952,"['object-detection', 'instance-segmentation', 'fast-rcnn', 'faster-rcnn', 'mask-rcnn', 'cascade-rcnn', 'ssd', 'retinanet', 'pytorch', 'panoptic-segmentation', 'rtmdet', 'semisupervised-learning', 'swin-transformer', 'transformer', 'vision-transformer', 'yolo', 'convnext', 'detr']",2023-02-28,392,8,4.38,633,454,55,0,19,12,19,633.0,775.0,90.0,1.2,75.63636
+183,ml,https://github.com/google/jax,,,,google/jax,jax,22126,2073,309,Python,http://jax.readthedocs.io/,"jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more",google,2023-03-04,2018-10-25,227,97.28768844221105,['jax'],2023-03-03,511,2,54.71,1259,959,53,0,39,39,39,1293.0,1316.0,90.0,1.0,75.39163
+644,util,https://github.com/python-poetry/poetry,,,,python-poetry/poetry,poetry,24007,1919,184,Python,https://python-poetry.org,poetry: Python packaging and dependency management made easy,python-poetry,2023-03-04,2018-02-28,261,91.7799016930639,"['python', 'dependency-manager', 'package-manager', 'packaging', 'poetry']",2023-03-04,437,2,13.35,677,454,61,0,14,24,14,677.0,1731.0,90.0,2.6,75.1428
+54,math,https://github.com/numpy/numpy,1.0,,,numpy/numpy,numpy,22829,7814,572,Python,https://numpy.org,numpy: The fundamental package for scientific computing with Python.,numpy,2023-03-04,2010-09-13,650,35.0752853380158,"['numpy', 'python']",2023-03-03,1587,7,31.02,1037,764,152,0,17,18,17,1037.0,2747.0,90.0,2.6,74.784
+349,ml,https://github.com/jina-ai/jina,,,,jina-ai/jina,jina,17606,2045,191,Python,https://docs.jina.ai,jina: 🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native,jina-ai,2023-03-04,2020-02-13,159,110.43189964157706,"['neural-search', 'cloud-native', 'deep-learning', 'machine-learning', 'framework', 'vector-search-engine', 'grpc', 'kubernetes', 'microservices', 'semantic-search', 'multimodal', 'crossmodal', 'creative-ai', 'aiops', 'mlops', 'pipeline', 'workflow', 'airflow', 'fastapi', 'generative-ai']",2023-03-03,164,2,20.85,298,263,37,0,106,121,106,299.0,730.0,90.0,2.4,74.38906
+86,viz,https://github.com/streamlit/streamlit,,,,streamlit/streamlit,streamlit,23043,2045,285,Python,https://streamlit.io,Streamlit — The fastest way to build data apps in Python,streamlit,2023-03-04,2019-08-24,184,125.13653995345229,"['python', 'machine-learning', 'data-science', 'deep-learning', 'data-visualization', 'streamlit', 'data-analysis', 'developer-tools']",2023-03-03,167,2,13.0,687,429,43,0,21,344,21,687.0,1047.0,90.0,1.5,74.36085
+536,profiling,https://github.com/bloomberg/memray,1.0,,,bloomberg/memray,memray,10203,283,53,Python,https://bloomberg.github.io/memray/,Memray is a memory profiler for Python,bloomberg,2023-03-04,2022-04-08,47,215.77341389728096,"['memory', 'memory-leak', 'memory-leak-detection', 'memory-profiler', 'profiler', 'python', 'python3', 'hacktoberfest']",2023-02-27,22,5,7.69,74,55,11,0,11,14,11,74.0,100.0,90.0,1.4,73.94435
+289,ml-dl,https://github.com/rwightman/pytorch-image-models,,,,rwightman/pytorch-image-models,pytorch-image-models,23868,3936,296,Python,https://huggingface.co/docs/timm,"pytorch-image-models: PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more",rwightman,2023-03-04,2019-02-02,213,111.98123324396782,"['pytorch', 'imagenet-classifier', 'resnet', 'dual-path-networks', 'cnn-classification', 'pretrained-models', 'pretrained-weights', 'distributed-training', 'mobile-deep-learning', 'mobilenet-v2', 'mnasnet', 'mobilenetv3', 'efficientnet', 'augmix', 'randaugment', 'mixnet', 'efficientnet-training', 'vision-transformer-models', 'nfnets', 'normalization-free-training']",2023-02-27,94,5,7.23,112,83,50,0,11,10,11,112.0,198.0,90.0,1.8,73.59874
+929,nlp,https://github.com/lucidrains/palm-rlhf-pytorch,,,,lucidrains/palm-rlhf-pytorch,PaLM-rlhf-pytorch,5536,431,109,Python,,PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM,lucidrains,2023-03-04,2022-12-09,12,450.6046511627907,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'reinforcement-learning', 'transformers', 'human-feedback']",2023-03-01,4,2,1.87,31,24,3,0,60,243,60,31.0,100.0,90.0,3.2,73.31127
+1,data,https://github.com/apache/arrow,,,,apache/arrow,arrow,11225,2764,345,C++,https://arrow.apache.org/,arrow: Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing,apache,2023-03-04,2016-02-17,367,30.53828216090167,['arrow'],2023-03-04,1022,5,41.56,12818,11341,86,0,0,10,10,12818.0,30000.0,90.0,2.3,73.28457
+781,diffusion,https://github.com/carson-katri/dream-textures,,,,carson-katri/dream-textures,dream-textures,5974,306,95,Python,,dream-textures: Stable Diffusion built-in to Blender,carson-katri,2023-03-04,2022-09-08,25,234.93258426966293,"['ai', 'blender', 'blender-addon', 'image-generation', 'stable-diffusion']",2023-02-15,10,5,2.44,206,135,6,1,10,20,10,206.0,532.0,90.0,2.6,73.21769
+273,ml,https://github.com/google/mediapipe,,,,google/mediapipe,mediapipe,20716,4331,503,C++,https://mediapipe.dev,"mediapipe: Cross-platform, customizable ML solutions for live and streaming media.",google,2023-03-04,2019-06-13,194,106.54812637766348,"['mediapipe', 'c-plus-plus', 'computer-vision', 'deep-learning', 'android', 'video-processing', 'audio-processing', 'mobile-development', 'machine-learning', 'inference', 'graph-framework', 'graph-based', 'calculator', 'framework', 'pipeline-framework', 'stream-processing', 'perception']",2023-03-03,30,2,21.1,483,331,45,0,5,12,5,483.0,1646.0,90.0,3.4,73.06431
+190,ml-dl,https://github.com/dmlc/dgl,,,,dmlc/dgl,dgl,11212,2722,173,Python,http://dgl.ai,"dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks.",dmlc,2023-03-04,2018-04-20,254,44.092134831460676,"['deep-learning', 'graph-neural-networks']",2023-03-04,251,7,14.15,631,472,59,0,8,7,8,631.0,2553.0,90.0,4.0,73.05939
+57,web,https://github.com/pallets/flask,,,,pallets/flask,flask,62081,15482,2143,Python,https://flask.palletsprojects.com,flask: The Python micro framework for building web applications.,pallets,2023-03-04,2010-04-06,673,92.14737065309585,"['python', 'flask', 'wsgi', 'web-framework', 'werkzeug', 'jinja', 'pallets']",2023-03-01,809,4,4.31,147,143,157,0,8,4,8,147.0,134.0,90.0,0.9,72.917
+953,ml,https://github.com/openai/openai-cookbook,,,,openai/openai-cookbook,openai-cookbook,15510,2042,336,Jupyter Notebook,,openai-cookbook: Examples and guides for using the OpenAI API,openai,2023-03-04,2022-03-11,51,302.4233983286908,[],2023-03-03,41,4,2.96,146,112,12,0,0,0,0,146.0,242.0,90.0,1.7,72.89856
+262,web,https://github.com/sherlock-project/sherlock,,,,sherlock-project/sherlock,sherlock,39426,4684,980,Python,http://sherlock-project.github.io,sherlock: 🔎 Hunt down social media accounts by username across social networks,sherlock-project,2023-03-04,2018-12-24,218,180.144908616188,"['osint', 'reconnaissance', 'linux', 'macos', 'cli', 'sherlock', 'python3', 'windows', 'redteam', 'tools', 'information-gathering', 'hacktoberfest', 'hacktoberfest2022', 'python']",2023-02-27,217,5,4.79,194,180,51,0,0,0,0,195.0,169.0,90.0,0.9,72.7372
+103,ml,https://github.com/dmlc/xgboost,,,,dmlc/xgboost,xgboost,23825,8551,925,C++,https://xgboost.ai/,"xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",dmlc,2023-03-04,2014-02-06,473,50.324381412190704,"['gbdt', 'gbrt', 'gbm', 'distributed-systems', 'xgboost', 'machine-learning']",2023-03-03,595,7,10.17,414,327,110,0,10,5,10,414.0,631.0,90.0,1.5,72.58226
+80,data,https://github.com/scrapy/scrapy,,,,scrapy/scrapy,scrapy,46354,9883,1783,Python,https://scrapy.org,"Scrapy, a fast high-level web crawling & scraping framework for Python.",scrapy,2023-03-04,2010-02-22,679,68.18197100231141,"['python', 'scraping', 'crawling', 'framework', 'crawler', 'hacktoberfest', 'web-scraping', 'web-scraping-python']",2023-03-02,588,5,6.4,193,134,159,0,6,8,6,193.0,340.0,90.0,1.8,72.57738
+328,security,https://github.com/aquasecurity/trivy,,,,aquasecurity/trivy,trivy,16441,1597,154,Go,https://aquasecurity.github.io/trivy,"trivy: Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more",aquasecurity,2023-03-04,2019-04-11,203,80.81952247191012,"['security', 'security-tools', 'docker', 'containers', 'vulnerability-scanners', 'vulnerability-detection', 'vulnerability', 'golang', 'go', 'kubernetes', 'hacktoberfest', 'devsecops', 'misconfiguration', 'infrastructure-as-code', 'iac']",2023-03-03,286,2,16.08,684,465,47,0,37,29,37,684.0,1282.0,90.0,1.9,72.46131
+39,jupyter,https://github.com/jupyterlab/jupyterlab,,,,jupyterlab/jupyterlab,jupyterlab,12669,2576,309,TypeScript,https://jupyterlab.readthedocs.io/,JupyterLab computational environment.,jupyterlab,2023-03-04,2016-06-03,352,35.962287104622874,"['jupyterlab', 'jupyter']",2023-03-04,529,9,16.73,1377,1026,82,0,49,5062,49,1377.0,2485.0,90.0,1.8,72.26137
+373,ml-dl,https://github.com/pyg-team/pytorch_geometric,,,,pyg-team/pytorch_geometric,pytorch_geometric,16927,3110,250,Python,https://pyg.org,pytorch_geometric: Graph Neural Network Library for PyTorch,pyg-team,2023-03-04,2017-10-06,282,59.96406882591093,"['pytorch', 'geometric-deep-learning', 'graph-neural-networks', 'deep-learning', 'graph-convolutional-networks']",2023-03-04,381,6,20.46,603,503,66,0,3,6,3,603.0,1032.0,90.0,1.7,72.0473
+48,viz,https://github.com/matplotlib/matplotlib,,,,matplotlib/matplotlib,matplotlib,16947,6754,592,Python,https://matplotlib.org/stable/,matplotlib: plotting with Python,matplotlib,2023-03-04,2011-02-19,628,26.979531498749147,"['matplotlib', 'data-visualization', 'data-science', 'python', 'qt', 'wx', 'gtk', 'plotting', 'tk', 'hacktoberfest']",2023-03-03,1478,6,41.06,1367,850,147,0,11,10,11,1365.0,2699.0,90.0,2.0,71.85285
+893,diffusion,https://github.com/apple/ml-stable-diffusion,,,,apple/ml-stable-diffusion,ml-stable-diffusion,5723,273,70,Python,,ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon,apple,2023-03-04,2022-11-16,15,367.5321100917431,[],2023-03-04,16,2,0.52,129,47,4,0,2,6,2,129.0,356.0,90.0,2.8,71.78025
+756,diffusion,https://github.com/divamgupta/diffusionbee-stable-diffusion-ui,,,,divamgupta/diffusionbee-stable-diffusion-ui,diffusionbee-stable-diffusion-ui,8308,330,77,JavaScript,https://diffusionbee.com,diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.,divamgupta,2023-03-04,2022-09-06,25,323.0888888888889,"['electron-app', 'macos', 'stable-diffusion']",2023-02-13,16,2,3.9,82,6,6,1,14,30,14,82.0,165.0,90.0,2.0,71.68816
+960,security,https://github.com/certbot/certbot,,,,certbot/certbot,certbot,29683,3332,762,Python,,Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.,certbot,2023-03-04,2014-11-12,433,68.46161449752883,"['acme', 'acme-client', 'certbot', 'certificate', 'letsencrypt', 'python']",2023-03-02,509,4,4.65,200,130,101,0,13,15,13,200.0,315.0,90.0,1.6,71.61491
+119,ml-ops,https://github.com/mlflow/mlflow,,,,mlflow/mlflow,mlflow,13770,3217,287,Python,https://mlflow.org,mlflow: Open source platform for the machine learning lifecycle,mlflow,2023-03-04,2018-06-05,247,55.588235294117645,"['machine-learning', 'ai', 'ml', 'mlflow', 'apache-spark', 'model-management']",2023-03-03,551,2,24.04,659,479,58,0,14,24,14,659.0,1518.0,90.0,2.3,71.55284
+346,viz,https://github.com/gradio-app/gradio,,,,gradio-app/gradio,gradio,13315,870,104,HTML,http://www.gradio.app,gradio: Create UIs for your machine learning model in Python in 3 minutes,gradio-app,2023-03-04,2018-12-19,219,60.640858815875085,"['machine-learning', 'models', 'ui', 'ui-components', 'interface', 'python', 'data-science', 'data-visualization', 'deep-learning', 'data-analysis', 'gradio', 'gradio-interface', 'python-notebook', 'deploy']",2023-03-04,136,2,24.23,817,609,51,0,94,24,94,817.0,2331.0,90.0,2.9,71.50457
+55,sim,https://github.com/openai/gym,,,,openai/gym,gym,30229,8260,1010,Python,https://www.gymlibrary.dev,gym: A toolkit for developing and comparing reinforcement learning algorithms.,openai,2023-03-04,2016-04-27,357,84.53975229724331,[],2023-01-30,384,3,4.27,54,36,83,1,10,8,10,54.0,161.0,90.0,3.0,71.32254
+220,util,https://github.com/pyenv/pyenv,,,,pyenv/pyenv,pyenv,30854,2723,384,Roff,,pyenv: Simple Python version management,pyenv,2023-03-04,2012-08-31,548,56.273579989577904,"['python', 'shell']",2023-03-02,413,5,4.21,139,128,128,0,16,14,16,139.0,292.0,90.0,2.1,71.20717
+17,nlp,https://github.com/explosion/spacy,,,,explosion/spacy,spaCy,25397,4040,548,Python,https://spacy.io,spaCy: 💫 Industrial-strength Natural Language Processing (NLP) in Python,explosion,2023-03-04,2014-07-03,452,56.13482791285128,"['natural-language-processing', 'data-science', 'machine-learning', 'python', 'cython', 'nlp', 'artificial-intelligence', 'ai', 'spacy', 'nlp-library', 'neural-network', 'neural-networks', 'deep-learning', 'named-entity-recognition', 'entity-linking', 'text-classification', 'tokenization']",2023-03-01,718,3,8.79,336,294,106,0,16,16,16,336.0,554.0,90.0,1.6,71.05627
+495,data,https://github.com/duckdb/duckdb,1.0,,,duckdb/duckdb,duckdb,8808,815,136,C++,http://www.duckdb.org,DuckDB is an in-process SQL OLAP Database Management System,duckdb,2023-03-04,2018-06-26,244,35.992994746059544,"['sql', 'database', 'olap', 'analytics', 'embedded-database']",2023-03-04,247,4,147.62,1105,898,57,0,9,7,9,1104.0,1913.0,90.0,1.7,70.7519
+314,util,https://github.com/samuelcolvin/pydantic,,,,samuelcolvin/pydantic,pydantic,12670,1176,91,Python,https://docs.pydantic.dev,pydantic: Data validation using Python type hints,samuelcolvin,2023-03-04,2017-05-03,304,41.59943714821764,"['validation', 'parsing', 'json-schema', 'python37', 'python38', 'pydantic', 'python39', 'python', 'hints', 'python310', 'python311']",2023-03-03,349,7,6.1,420,248,71,0,11,16,11,420.0,1100.0,90.0,2.6,70.60102
+177,web,https://github.com/psf/requests,,,,psf/requests,requests,49147,8992,1352,Python,https://requests.readthedocs.io/en/latest/,"requests: A simple, yet elegant, HTTP library.",psf,2023-03-04,2011-02-13,629,78.13513513513513,"['python', 'http', 'forhumans', 'requests', 'python-requests', 'client', 'humans', 'cookies']",2023-03-03,728,6,0.67,105,72,147,0,3,12,3,105.0,163.0,90.0,1.6,70.56964
+591,util,https://github.com/mingrammer/diagrams,,,,mingrammer/diagrams,diagrams,27950,1717,346,Python,https://diagrams.mingrammer.com,diagrams: :art: Diagram as Code for prototyping cloud system architectures,mingrammer,2023-03-04,2020-02-02,161,173.6024844720497,"['diagram', 'diagram-as-code', 'architecture', 'graphviz']",2023-01-13,127,7,1.25,94,33,38,2,4,13,4,94.0,79.0,90.0,0.8,70.55353
+120,ml-ops,https://github.com/prefecthq/prefect,,,,prefecthq/prefect,prefect,11414,1142,156,Python,https://prefect.io,prefect: The easiest way to coordinate your dataflow,prefecthq,2023-03-04,2018-06-29,244,46.72397660818714,"['python', 'workflow', 'data-engineering', 'data-science', 'workflow-engine', 'prefect', 'infrastructure', 'ml-ops', 'data-ops', 'automation', 'orchestration', 'orion', 'data', 'observability', 'pipeline']",2023-03-03,132,2,103.02,1350,1004,57,0,56,37,56,1350.0,2475.0,90.0,1.8,70.42194
+1022,pandas,https://github.com/kanaries/pygwalker,1.0,,,kanaries/pygwalker,pygwalker,4124,107,20,Jupyter Notebook,,PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis,kanaries,2023-03-05,2023-02-16,2,1698.1176470588234,"['data-analysis', 'pandas', 'tableau', 'tableau-alternative', 'visualization', 'data-exploration', 'dataframe']",2023-03-03,6,3,0.96,52,37,1,0,8,97,8,52.0,70.0,90.0,1.3,70.35236
+771,ml-dl,https://github.com/sanster/lama-cleaner,,,,sanster/lama-cleaner,lama-cleaner,8307,734,63,Python,https://lama-cleaner-docs.vercel.app/,"lama-cleaner: Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.",sanster,2023-03-04,2021-11-15,67,122.41894736842106,"['inpainting', 'pytorch', 'lama', 'latent-diffusion', 'mat', 'zits', 'stable-diffusion']",2023-03-02,12,5,8.08,82,63,16,0,43,35,43,82.0,158.0,90.0,1.9,70.25241
+409,perf,https://github.com/google/flatbuffers,,,,google/flatbuffers,flatbuffers,20000,3027,644,C++,http://google.github.io/flatbuffers/,FlatBuffers: Memory Efficient Serialization Library,google,2023-03-04,2014-05-19,458,43.586550435865504,"['flatbuffers', 'serialization', 'serialization-library', 'json-parser', 'marshalling', 'rpc', 'zero-copy', 'mmap', 'cross-platform', 'c-plus-plus', 'java', 'c-sharp', 'go', 'python', 'rust', 'javascript', 'typescript', 'grpc', 'c', 'protobuf']",2023-03-04,631,5,7.31,278,152,107,0,14,4,14,278.0,496.0,90.0,1.8,69.97238
+676,ml-dl,https://github.com/facebookresearch/detectron2,,,,facebookresearch/detectron2,detectron2,23740,6491,366,Python,https://detectron2.readthedocs.io/en/latest/,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",facebookresearch,2023-03-04,2019-09-05,182,130.13312451057166,[],2023-03-03,236,2,1.75,226,168,42,0,0,3,3,226.0,320.0,90.0,1.4,69.89947
+30,web,https://github.com/huge-success/sanic,,,,huge-success/sanic,sanic,16886,1493,413,Python,https://sanic.dev,sanic:  Accelerate your web app development  | Build fast. Run fast.,huge-success,2023-03-04,2016-05-26,353,47.77768795472918,"['python', 'framework', 'asyncio', 'api-server', 'web', 'web-server', 'web-framework', 'asgi', 'sanic']",2023-02-27,327,6,2.37,133,86,82,0,11,12,11,133.0,331.0,90.0,2.5,69.24222
+82,data,https://github.com/sqlalchemy/sqlalchemy,,,,sqlalchemy/sqlalchemy,sqlalchemy,6870,1087,90,Python,https://www.sqlalchemy.org,sqlalchemy: The Database Toolkit for Python,sqlalchemy,2023-03-04,2018-11-27,222,30.846696600384863,"['sqlalchemy', 'sql', 'python']",2023-03-03,606,5,15.17,371,283,52,0,27,65,27,372.0,1233.0,90.0,3.3,69.15401
+75,nlp,https://github.com/pytorch/fairseq,,,,pytorch/fairseq,fairseq,21071,5271,358,Python,,fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,pytorch,2023-03-04,2017-08-29,287,73.23584905660377,"['python', 'pytorch', 'artificial-intelligence']",2023-02-23,413,5,2.87,213,73,67,0,3,3,3,213.0,192.0,90.0,0.9,67.94198
+517,typing,https://github.com/microsoft/pyright,,,,microsoft/pyright,pyright,9793,849,94,Python,,pyright: Static type checker for Python,microsoft,2023-03-04,2019-03-12,207,47.146492434662996,[],2023-03-04,91,2,21.62,441,428,48,0,70,96,70,442.0,1159.0,90.0,2.6,67.92317
+225,util,https://github.com/pyodide/pyodide,,,,pyodide/pyodide,pyodide,9680,630,126,Python,https://pyodide.org/en/stable/,Pyodide is a Python distribution for the browser and Node.js based on WebAssembly,pyodide,2023-03-04,2018-02-23,262,36.90631808278867,"['python', 'webassembly']",2023-03-04,165,6,15.71,390,314,61,0,15,13,15,390.0,632.0,90.0,1.6,67.84475
+79,ml,https://github.com/scipy/scipy,,,,scipy/scipy,scipy,10895,4616,343,Python,https://scipy.org,SciPy library main repository,scipy,2023-03-04,2011-03-09,625,17.416076729846996,"['python', 'scipy', 'algorithms', 'closember', 'scientific-computing']",2023-03-04,1431,4,30.92,1025,650,146,0,12,13,12,1025.0,3122.0,90.0,3.0,67.8146
+6,viz,https://github.com/bokeh/bokeh,,,,bokeh/bokeh,bokeh,17285,4038,449,Python,https://bokeh.org,"bokeh: Interactive Data Visualization in the browser, from  Python",bokeh,2023-03-04,2012-03-26,570,30.27902902902903,"['bokeh', 'python', 'interactive-plots', 'javascript', 'visualization', 'plotting', 'plots', 'data-visualisation', 'notebooks', 'jupyter', 'visualisation', 'numfocus']",2023-03-03,636,5,9.06,399,264,133,0,0,10,10,399.0,694.0,90.0,1.7,67.75866
+74,typing,https://github.com/python/mypy,,,,python/mypy,mypy,14936,2463,228,Python,https://www.mypy-lang.org/,mypy: Optional static typing for Python,python,2023-03-04,2012-12-07,534,27.955080213903745,"['python', 'types', 'typing', 'typechecker', 'linter']",2023-03-03,632,4,17.08,879,483,125,0,0,7,7,881.0,1652.0,90.0,1.9,67.70918
+876,time-series,https://github.com/sktime/sktime,1.0,,,sktime/sktime,sktime,6216,1032,107,Python,https://www.sktime.net,sktime: A unified framework for machine learning with time series,sktime,2023-03-04,2018-11-06,225,27.539240506329115,"['time-series', 'machine-learning', 'scikit-learn', 'time-series-classification', 'time-series-regression', 'forecasting', 'time-series-analysis', 'data-science', 'data-mining']",2023-03-02,235,6,18.38,501,326,53,0,18,9,18,501.0,1382.0,90.0,2.8,67.67286
+126,ml-dl,https://github.com/microsoft/deepspeed,,,,microsoft/deepspeed,DeepSpeed,9202,1106,146,Python,https://www.deepspeed.ai/,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.",microsoft,2023-03-04,2020-01-23,162,56.65259454705365,"['deep-learning', 'pytorch', 'gpu', 'machine-learning', 'billion-parameters', 'data-parallelism', 'model-parallelism', 'inference', 'pipeline-parallelism', 'compression', 'mixture-of-experts', 'trillion-parameters', 'zero']",2023-03-01,164,2,9.21,498,301,38,0,17,18,17,498.0,1013.0,90.0,2.0,67.66933
+693,ml-dl,https://github.com/deepfakes/faceswap,,,,deepfakes/faceswap,faceswap,43839,12151,1504,Python,https://www.faceswap.dev,faceswap: Deepfakes Software For All,deepfakes,2023-03-04,2017-12-19,271,161.3422712933754,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'openfaceswap', 'myfakeapp', 'machine-learning']",2023-02-24,95,2,5.58,21,20,63,0,0,1,1,21.0,15.0,90.0,0.7,67.62915
+993,nlp,https://github.com/facebookresearch/llama,,,,facebookresearch/llama,llama,6895,708,87,Python,,llama: Inference code for LLaMA models,facebookresearch,2023-03-05,2023-02-14,2,2540.2631578947367,[],2023-03-04,3,1,0.12,118,31,1,0,0,0,0,118.0,623.0,90.0,5.3,67.61633
+122,data,https://github.com/iterative/dvc,,,,iterative/dvc,dvc,11169,1034,135,Python,https://dvc.org,dvc: 🦉Data Version Control | Git for Data & Models | ML Experiments Management,iterative,2023-03-04,2017-03-04,313,35.66742700729927,"['data-science', 'machine-learning', 'reproducibility', 'data-version-control', 'git', 'developer-tools', 'collaboration', 'ai', 'python', 'hacktoberfest']",2023-03-04,281,2,22.33,671,500,73,0,64,72,64,671.0,1522.0,90.0,2.3,67.52551
+121,ml-ops,https://github.com/dagster-io/dagster,,,,dagster-io/dagster,dagster,6671,841,92,Python,https://dagster.io,"dagster: An orchestration platform for the development, production, and observation of data assets.",dagster-io,2023-03-04,2018-04-30,252,26.382485875706216,"['data-pipelines', 'dagster', 'workflow', 'data-science', 'workflow-automation', 'python', 'scheduler', 'data-orchestrator', 'etl', 'analytics', 'data-engineering', 'mlops', 'orchestration', 'data-integration', 'metadata']",2023-03-03,284,2,66.4,2054,1584,59,0,62,135,62,2054.0,4445.0,90.0,2.2,67.13067
+790,ml-dl,https://github.com/facebookincubator/aitemplate,,,,facebookincubator/aitemplate,AITemplate,2979,238,77,Python,,AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.,facebookincubator,2023-03-03,2022-07-15,33,89.49785407725322,[],2023-03-04,47,4,4.0,258,211,8,0,2,3,2,258.0,823.0,90.0,3.2,67.11256
+672,ml-dl,https://github.com/borisdayma/dalle-mini,,,,borisdayma/dalle-mini,dalle-mini,13731,1062,102,Python,https://www.craiyon.com,dalle-mini: DALL·E Mini - Generate images from a text prompt,borisdayma,2023-03-04,2021-07-03,87,157.5688524590164,[],2023-02-10,27,5,2.42,16,5,20,1,3,2,3,16.0,27.0,90.0,1.7,67.02423
+547,ml,https://github.com/optuna/optuna,,,,optuna/optuna,optuna,7685,811,123,Python,https://optuna.org,optuna: A hyperparameter optimization framework,optuna,2023-03-04,2018-02-21,262,29.26822633297062,"['python', 'machine-learning', 'parallel', 'distributed', 'hyperparameter-optimization', 'hacktoberfest']",2023-03-03,227,3,42.83,298,243,61,0,12,11,12,298.0,814.0,90.0,2.7,66.99795
+11,perf,https://github.com/dask/dask,,,,dask/dask,dask,10772,1598,216,Python,https://dask.org,dask: Parallel computing with task scheduling,dask,2023-03-04,2015-01-04,426,25.28638497652582,"['dask', 'python', 'pydata', 'numpy', 'pandas', 'scikit-learn', 'scipy']",2023-03-03,577,6,10.67,387,219,99,0,0,32,32,387.0,788.0,90.0,2.0,66.97407
+281,util,https://github.com/squidfunk/mkdocs-material,,,,squidfunk/mkdocs-material,mkdocs-material,12958,2831,112,TypeScript,https://squidfunk.github.io/mkdocs-material/,mkdocs-material: Documentation that simply works,squidfunk,2023-03-04,2016-01-28,370,34.98110296953336,"['mkdocs', 'theme', 'documentation', 'material-design', 'template', 'static']",2023-03-03,197,2,16.85,343,321,86,0,61,44,61,343.0,909.0,90.0,2.7,66.87452
+523,ml-dl,https://github.com/lucidrains/dalle2-pytorch,,,,lucidrains/dalle2-pytorch,DALLE2-pytorch,9043,787,123,Python,,"DALLE2-pytorch: Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch",lucidrains,2023-03-04,2022-04-07,47,190.6656626506024,"['artificial-intelligence', 'deep-learning', 'text-to-image']",2023-02-12,16,1,11.23,20,4,11,0,335,377,335,20.0,22.0,90.0,1.1,66.8196
+458,perf,https://github.com/nebuly-ai/nebullvm,,,,nebuly-ai/nebullvm,nebullvm,5100,328,64,Python,https://www.nebuly.com/,nebullvm: Plug and play modules to optimize the performances of your AI systems 🚀,nebuly-ai,2023-03-04,2022-02-12,55,92.48704663212435,"['deep-learning', 'pytorch', 'onnx', 'machine-learning', 'tensorflow', 'tvm', 'openvino', 'tensorrt', 'huggingface', 'compiler', 'computing', 'inference', 'neural-network', 'pypi', 'quantization', 'edge-computing', 'gpu', 'optimization', 'transformers']",2023-03-03,28,5,6.44,111,73,13,0,19,20,19,111.0,116.0,90.0,1.0,66.75304
+45,testing,https://github.com/locustio/locust,1.0,,,locustio/locust,locust,20788,2648,433,Python,,locust: Scalable load testing tool written in Python,locustio,2023-03-04,2011-02-17,628,33.07933621277563,"['locust', 'python', 'load-testing', 'performance-testing', 'http', 'benchmarking', 'load-generator']",2023-03-04,279,7,7.65,67,56,147,0,19,9,19,67.0,116.0,90.0,1.7,66.75156
+31,data,https://github.com/jaidedai/easyocr,,,,jaidedai/easyocr,EasyOCR,17157,2483,283,Python,https://www.jaided.ai,"EasyOCR: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.",jaidedai,2023-03-04,2020-03-14,155,110.58839779005525,"['ocr', 'deep-learning', 'crnn', 'pytorch', 'lstm', 'machine-learning', 'scene-text', 'scene-text-recognition', 'optical-character-recognition', 'cnn', 'data-mining', 'image-processing', 'python', 'easyocr', 'information-retrieval']",2023-01-06,114,5,0.98,100,36,36,2,5,7,5,100.0,112.0,90.0,1.1,66.52208
+29,ml-ops,https://github.com/great-expectations/great_expectations,,,,great-expectations/great_expectations,great_expectations,8050,1249,71,Python,https://docs.greatexpectations.io/,great_expectations: Always know what to expect from your data.,great-expectations,2023-03-04,2017-09-11,285,28.160919540229884,"['pipeline-tests', 'dataquality', 'datacleaning', 'datacleaner', 'data-science', 'data-profiling', 'pipeline', 'pipeline-testing', 'cleandata', 'dataunittest', 'data-unit-tests', 'eda', 'exploratory-data-analysis', 'exploratory-analysis', 'exploratorydataanalysis', 'data-quality', 'data-engineering', 'pipeline-debt', 'data-profilers', 'mlops']",2023-03-03,370,2,41.15,996,886,67,0,54,41,54,996.0,1929.0,90.0,1.9,66.45132
+245,ml,https://github.com/tencentarc/gfpgan,,,,tencentarc/gfpgan,GFPGAN,26952,4156,395,Python,,GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.,tencentarc,2023-03-04,2021-03-19,102,263.4972067039106,"['pytorch', 'gan', 'deep-learning', 'super-resolution', 'face-restoration', 'image-restoration', 'gfpgan']",2022-09-16,11,4,0.44,50,10,24,6,3,8,3,50.0,56.0,90.0,1.1,66.39722
+38,jupyter,https://github.com/jupyter/notebook,,,,jupyter/notebook,notebook,9808,4017,321,Jupyter Notebook,https://jupyter-notebook.readthedocs.io/,notebook: Jupyter Interactive Notebook,jupyter,2023-03-04,2015-04-09,412,23.781087634222377,"['closember', 'jupyter', 'jupyter-notebook', 'notebook']",2023-03-01,623,8,8.06,158,92,96,0,22,40,22,158.0,339.0,90.0,2.1,66.33742
+152,nlp,https://github.com/flairnlp/flair,,,,flairnlp/flair,flair,12538,1999,202,Python,,flair: A very simple framework for state-of-the-art Natural Language Processing (NLP),flairnlp,2023-03-04,2018-06-11,246,50.79050925925926,"['pytorch', 'nlp', 'named-entity-recognition', 'sequence-labeling', 'semantic-role-labeling', 'word-embeddings', 'natural-language-processing', 'machine-learning']",2023-03-03,240,6,11.67,208,158,58,0,1,5,1,208.0,266.0,90.0,1.3,66.24379
+320,gui,https://github.com/pysimplegui/pysimplegui,1.0,,,pysimplegui/pysimplegui,PySimpleGUI,11304,1684,218,Python,,"PySimpleGUI: Launched in 2018. It's 2023 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with a full set of widgets. Multi-Window applications are also simple. 3.4 to 3.11 supported. 325+ Demo programs & Cookbook for rapid start. Extensive docs",pysimplegui,2023-03-04,2018-07-11,242,46.600706713780916,"['pysimplegui', 'gui-framework', 'python', 'tkinter', 'tkinter-python', 'tkinter-gui', 'wxpython', 'pyside2', 'qt', 'qt-gui', 'remi', 'gui', 'gui-window', 'gui-programming', 'datavisualization', 'games', 'beginner-friendly', 'systemtray', 'python-gui', 'user-interface']",2023-03-01,18,4,9.17,250,213,57,0,5,1,5,249.0,818.0,90.0,3.3,66.22629
+2,ml-dl,https://github.com/apache/incubator-mxnet,,,,apache/incubator-mxnet,mxnet,20272,6872,1087,C++,https://mxnet.apache.org,"mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more",apache,2023-03-04,2015-04-30,409,49.5129099790649,['mxnet'],2023-01-26,981,8,1.85,60,23,96,1,4,6,4,60.0,79.0,90.0,1.3,66.1732
+87,math,https://github.com/sympy/sympy,1.0,,,sympy/sympy,sympy,10361,3882,287,Python,https://sympy.org/,sympy: A computer algebra system written in pure Python,sympy,2023-03-04,2010-04-30,670,15.457587382779199,"['python', 'math', 'computer-algebra', 'science', 'hacktoberfest']",2023-03-04,1198,3,42.1,681,384,156,0,5,7,5,677.0,2947.0,90.0,4.4,66.15206
+747,diffusion,https://github.com/nateraw/stable-diffusion-videos,,,,nateraw/stable-diffusion-videos,stable-diffusion-videos,2183,214,28,Python,,stable-diffusion-videos: Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts,nateraw,2023-03-03,2022-09-06,25,84.89444444444445,"['ai-art', 'huggingface', 'huggingface-diffusers', 'machine-learning', 'stable-diffusion']",2023-02-18,14,6,3.0,48,30,6,0,17,34,17,48.0,146.0,90.0,3.0,66.1181
+761,ml-dl,https://github.com/xinntao/real-esrgan,,,,xinntao/real-esrgan,Real-ESRGAN,18447,1993,188,Python,,Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.,xinntao,2023-03-04,2021-07-19,84,217.38888888888889,"['esrgan', 'pytorch', 'real-esrgan', 'super-resolution', 'image-restoration', 'denoise', 'jpeg-compression', 'amine']",2022-09-20,11,7,0.6,100,14,20,6,2,12,2,100.0,99.0,90.0,1.0,66.03713
+36,data,https://github.com/joke2k/faker,,,,joke2k/faker,faker,15469,1728,222,Python,https://faker.readthedocs.io,Faker is a Python package that generates fake data for you.,joke2k,2023-03-04,2012-11-12,537,28.76042496679947,"['python', 'fake', 'testing', 'dataset', 'fake-data', 'test-data', 'test-data-generator']",2023-03-03,510,7,7.13,81,63,125,0,59,27,59,81.0,119.0,90.0,1.5,65.99883
+8,perf,https://github.com/celery/celery,,,,celery/celery,celery,21040,4442,475,Python,https://docs.celeryq.dev,celery: Distributed Task Queue (development branch),celery,2023-03-04,2009-04-24,723,29.08947264467707,"['python', 'task-manager', 'task-scheduler', 'task-runner', 'queue-workers', 'queued-jobs', 'queue-tasks', 'amqp', 'redis', 'sqs', 'sqs-queue', 'python3', 'python-library', 'redis-queue']",2023-03-04,1266,5,5.33,361,133,169,0,7,17,7,362.0,456.0,90.0,1.3,65.90942
+832,util,https://github.com/micropython/micropython,,,,micropython/micropython,micropython,16033,6226,730,C,https://micropython.org,MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems,micropython,2023-03-04,2013-12-20,480,33.38221296847115,"['micropython', 'python', 'embedded', 'microcontroller']",2023-03-02,558,2,23.63,473,278,112,0,1,6,1,473.0,1368.0,90.0,2.9,65.88092
+3,ml,https://github.com/awslabs/autogluon,,,,awslabs/autogluon,autogluon,5400,703,90,Python,https://auto.gluon.ai/,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data",awslabs,2023-03-04,2019-07-29,187,28.745247148288975,"['automl', 'machine-learning', 'data-science', 'deep-learning', 'ensemble-learning', 'image-classification', 'computer-vision', 'natural-language-processing', 'structured-data', 'object-detection', 'gluon', 'transfer-learning', 'pytorch', 'automated-machine-learning', 'scikit-learn', 'autogluon', 'tabular-data', 'hyperparameter-optimization', 'time-series', 'forecasting']",2023-03-03,100,6,15.94,690,534,44,0,12,7,12,690.0,1328.0,90.0,1.9,65.76907
+238,data,https://github.com/tiangolo/sqlmodel,1.0,,,tiangolo/sqlmodel,sqlmodel,9495,409,125,Python,https://sqlmodel.tiangolo.com/,"sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.",tiangolo,2023-03-04,2021-08-24,79,119.11290322580645,"['python', 'sql', 'sqlalchemy', 'pydantic', 'fastapi', 'json', 'json-schema']",2023-02-21,54,2,2.94,96,25,19,0,2,4,2,96.0,179.0,90.0,1.9,65.73945
+734,diffusion,https://github.com/compvis/stable-diffusion,,,,compvis/stable-diffusion,stable-diffusion,44263,6888,422,Jupyter Notebook,https://ommer-lab.com/research/latent-diffusion-models/,stable-diffusion: A latent text-to-image diffusion model,compvis,2023-03-04,2022-08-10,29,1496.816425120773,[],2022-11-16,8,2,0.33,199,34,7,4,0,0,0,200.0,279.0,90.0,1.4,65.7039
+870,util,https://github.com/ipython/ipython,,,,ipython/ipython,ipython,15708,4420,768,Python,https://ipython.readthedocs.org,"ipython: Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.",ipython,2023-03-04,2010-05-10,668,23.484835540367364,"['ipython', 'jupyter', 'data-science', 'notebook', 'python', 'repl', 'closember', 'hacktoberfest']",2023-02-28,938,7,6.75,163,92,156,0,0,12,12,163.0,257.0,90.0,1.6,65.67274
+863,ml-ops,https://github.com/mage-ai/mage-ai,1.0,,,mage-ai/mage-ai,mage-ai,3562,276,46,Python,https://www.mage.ai/,"mage-ai: 🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.",mage-ai,2023-03-04,2022-05-16,41,85.09897610921502,"['machine-learning', 'artificial-intelligence', 'data', 'data-engineering', 'data-science', 'python', 'elt', 'etl', 'pipelines', 'data-pipelines', 'orchestration', 'data-integration', 'sql', 'spark', 'dbt', 'pipeline', 'reverse-etl', 'transformation']",2023-03-04,22,3,49.48,605,572,10,0,6,9,6,605.0,163.0,90.0,0.3,65.6504
+974,ml,https://github.com/lucidrains/musiclm-pytorch,1.0,,,lucidrains/musiclm-pytorch,musiclm-pytorch,1620,101,74,Python,,"musiclm-pytorch: Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch",lucidrains,2023-03-04,2023-01-27,5,306.4864864864865,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'music-synthesis', 'transformers']",2023-03-02,1,0,1.13,27,24,1,0,28,341,28,27.0,114.0,90.0,4.2,65.56719
+382,ml-ops,https://github.com/deepset-ai/haystack,,,,deepset-ai/haystack,haystack,7133,1066,103,Python,https://haystack.deepset.ai,"haystack: :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and alike). Haystack offers production-ready tools to quickly build ChatGPT-like question answering, semantic search, text generation, and more.",deepset-ai,2023-03-04,2019-11-14,172,41.36785418392709,"['nlp', 'question-answering', 'bert', 'transfer-learning', 'language-model', 'pytorch', 'semantic-search', 'squad', 'elasticsearch', 'information-retrieval', 'summarization', 'transformers', 'natural-language-processing', 'machine-learning', 'ai', 'python', 'chatgpt', 'gpt-3', 'large-language-models', 'generative-ai']",2023-03-03,159,2,16.5,757,563,40,0,27,16,27,757.0,1152.0,90.0,1.5,65.56327
+214,nlp,https://github.com/speechbrain/speechbrain,,,,speechbrain/speechbrain,speechbrain,5413,1023,115,Python,http://speechbrain.github.io,speechbrain: A PyTorch-based Speech Toolkit,speechbrain,2023-03-04,2020-04-28,148,36.39865513928915,"['speech-recognition', 'speech-toolkit', 'speaker-recognition', 'speech-to-text', 'speech-enhancement', 'speech-separation', 'audio', 'audio-processing', 'speech-processing', 'speechrecognition', 'asr', 'voice-recognition', 'spoken-language-understanding', 'speaker-diarization', 'speaker-verification', 'pytorch', 'huggingface', 'transformers', 'language-model', 'deep-learning']",2023-03-03,197,6,24.75,128,66,35,0,2,2,2,128.0,334.0,90.0,2.6,65.47037
+537,nlp,https://github.com/espnet/espnet,,,,espnet/espnet,espnet,6152,1856,176,Python,https://espnet.github.io/espnet/,espnet: End-to-End Speech Processing Toolkit,espnet,2023-03-04,2017-12-13,272,22.570230607966458,"['deep-learning', 'end-to-end', 'chainer', 'pytorch', 'kaldi', 'speech-recognition', 'speech-synthesis', 'speech-translation', 'machine-translation', 'voice-conversion', 'speech-enhancement', 'speech-separation', 'singing-voice-synthesis', 'speaker-diarization', 'spoken-language-understanding']",2023-03-03,332,5,38.48,245,139,64,0,6,9,6,245.0,644.0,90.0,2.6,65.40181
+408,web,https://github.com/aio-libs/aiohttp,,,,aio-libs/aiohttp,aiohttp,13318,1870,227,Python,https://docs.aiohttp.org,aiohttp: Asynchronous HTTP client/server framework for asyncio and Python,aio-libs,2023-03-04,2013-10-01,491,27.084834398605462,"['aiohttp', 'asyncio', 'python', 'http', 'http-server', 'http-client', 'async', 'hacktoberfest']",2023-02-28,665,5,6.92,161,87,115,0,3,25,3,161.0,454.0,90.0,2.8,65.31648
+367,ml,https://github.com/megvii-basedetection/yolox,,,,megvii-basedetection/yolox,YOLOX,7920,1915,72,Python,,"YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/",megvii-basedetection,2023-03-04,2021-07-17,85,93.02013422818791,"['yolox', 'yolov3', 'onnx', 'tensorrt', 'ncnn', 'openvino', 'pytorch', 'megengine', 'object-detection', 'yolo', 'deep-learning']",2023-03-03,70,7,0.79,112,55,20,0,1,2,1,112.0,157.0,90.0,1.4,65.30441
+575,perf,https://github.com/pybind/pybind11,,,,pybind/pybind11,pybind11,12294,1778,245,C++,https://pybind11.readthedocs.io/,pybind11: Seamless operability between C++11 and Python,pybind,2023-03-04,2015-07-05,400,30.735,"['python', 'bindings']",2023-02-23,315,6,4.63,170,108,93,0,5,7,5,170.0,341.0,90.0,2.0,65.00118
+127,ml,https://github.com/microsoft/nni,,,,microsoft/nni,nni,12566,1755,282,Python,https://nni.readthedocs.io,"nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.",microsoft,2023-03-04,2018-06-01,248,50.611047180667434,"['automl', 'deep-learning', 'neural-architecture-search', 'hyperparameter-optimization', 'distributed', 'bayesian-optimization', 'automated-machine-learning', 'machine-learning', 'machine-learning-algorithms', 'data-science', 'tensorflow', 'pytorch', 'neural-network', 'deep-neural-network', 'model-compression', 'feature-engineering', 'nas', 'python', 'hyperparameter-tuning', 'mlops']",2023-03-03,187,3,7.17,208,143,58,0,4,10,4,208.0,280.0,90.0,1.3,64.95329
+92,ml-ops,https://github.com/uber/ludwig,,,,uber/ludwig,ludwig,8780,1030,183,Python,http://ludwig.ai,ludwig: Data-centric declarative deep learning framework,uber,2023-03-04,2018-12-27,218,40.196206671026815,"['deep-learning', 'deeplearning', 'deep', 'learning', 'machine-learning', 'machinelearning', 'machine', 'natural-language-processing', 'natural-language', 'computer-vision', 'data-centric', 'data-science', 'python', 'pytorch', 'neural-network', 'ml', 'datascience']",2023-03-04,131,2,18.27,403,350,51,0,18,10,18,403.0,567.0,90.0,1.4,64.93669
+554,ml-ops,https://github.com/horovod/horovod,,,,horovod/horovod,horovod,13071,2158,331,Python,http://horovod.ai,"horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",horovod,2023-03-03,2017-08-09,290,44.98377581120944,"['tensorflow', 'uber', 'machine-learning', 'machinelearning', 'mpi', 'baidu', 'deep-learning', 'deeplearning', 'keras', 'pytorch', 'mxnet', 'spark', 'ray']",2023-02-23,164,5,2.83,109,75,68,0,7,13,7,109.0,158.0,90.0,1.4,64.89474
+61,viz,https://github.com/plotly/dash,,,,plotly/dash,dash,18198,1853,410,Python,https://plotly.com/dash,dash: Data Apps & Dashboards for Python. No JavaScript Required.,plotly,2023-03-04,2015-04-10,412,44.13929313929314,"['dash', 'plotly', 'data-visualization', 'data-science', 'gui-framework', 'flask', 'react', 'python', 'finance', 'bioinformatics', 'technical-computing', 'charting', 'plotly-dash', 'web-app', 'productivity', 'modeling', 'r', 'rstats', 'jupyter', 'julia']",2023-03-02,133,2,12.35,155,92,96,0,12,11,12,155.0,184.0,90.0,1.2,64.7995
+1029,finance,https://github.com/microsoft/qlib,1.0,,,microsoft/qlib,qlib,10418,1861,250,Python,https://qlib.readthedocs.io/en/latest/,"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of  SOTA Quant research works/papers are released in Qlib.",microsoft,2023-03-05,2020-08-14,133,78.16291532690246,"['quantitative-finance', 'machine-learning', 'stock-data', 'platform', 'finance', 'algorithmic-trading', 'python', 'investment', 'quant', 'quantitative-trading', 'quant-dataset', 'quant-models', 'auto-quant', 'fintech', 'research-paper', 'paper', 'research', 'deep-learning']",2023-03-03,112,3,3.77,255,173,31,0,5,8,5,255.0,134.0,90.0,0.5,64.76066
+173,term,https://github.com/tiangolo/typer,1.0,,,tiangolo/typer,typer,10601,427,68,Python,https://typer.tiangolo.com/,"Typer, build great CLIs. Easy to code. Based on Python type hints.",tiangolo,2023-03-04,2019-12-24,166,63.58783204798629,"['cli', 'click', 'python3', 'typehints', 'terminal', 'shell', 'python', 'typer']",2023-02-21,32,5,2.79,112,28,39,0,6,7,6,112.0,176.0,90.0,1.6,64.67354
+71,testing,https://github.com/pytest-dev/pytest,,,,pytest-dev/pytest,pytest,9858,2271,194,Python,https://pytest.org,"pytest: The pytest framework makes it easy to write small tests, yet scales to support complex functional testing",pytest-dev,2023-03-04,2015-06-15,402,24.470212765957445,"['unit-testing', 'test', 'testing', 'python', 'hacktoberfest']",2023-03-03,857,5,6.37,268,175,94,0,7,23,7,268.0,463.0,90.0,1.7,64.58637
+826,sim,https://github.com/farama-foundation/gymnasium,,,,farama-foundation/gymnasium,Gymnasium,1651,189,18,Python,https://gymnasium.farama.org,"Gymnasium: A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)",farama-foundation,2023-03-04,2022-09-08,25,64.92696629213484,"['api', 'gym', 'reinforcement-learning']",2023-03-03,411,2,8.54,205,173,6,0,6,12,6,205.0,326.0,90.0,1.6,64.58253
+150,ml,https://github.com/catboost/catboost,,,,catboost/catboost,catboost,6977,1092,192,C,https://catboost.ai,"catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.",catboost,2023-03-04,2017-07-18,293,23.754377431906615,"['machine-learning', 'decision-trees', 'gradient-boosting', 'gbm', 'gbdt', 'python', 'r', 'kaggle', 'gpu-computing', 'catboost', 'tutorial', 'categorical-features', 'gpu', 'coreml', 'data-science', 'big-data', 'cuda', 'data-mining']",2023-03-04,1070,2,451.98,176,64,68,0,4,15,4,176.0,196.0,90.0,1.1,64.50611
+65,ml,https://github.com/pycaret/pycaret,,,,pycaret/pycaret,pycaret,6966,1584,128,Jupyter Notebook,https://www.pycaret.org,"pycaret: An open-source, low-code machine learning library in Python",pycaret,2023-03-04,2019-11-23,171,40.70283806343907,"['data-science', 'citizen-data-scientists', 'python', 'machine-learning', 'pycaret', 'ml', 'gpu', 'time-series', 'regression', 'classification', 'anomaly-detection', 'nlp', 'clustering']",2023-03-02,117,5,19.35,313,236,40,0,4,9,4,313.0,309.0,90.0,1.0,64.47729
+440,ml-dl,https://github.com/kornia/kornia,,,,kornia/kornia,kornia,7825,794,119,Python,https://kornia.github.io/kornia/,kornia: Open Source Differentiable Computer Vision Library,kornia,2023-03-04,2018-08-22,236,33.07669082125604,"['computer-vision', 'image-processing', 'machine-learning', 'pytorch', 'deep-learning', 'neural-network', 'python', 'artificial-intelligence']",2023-03-04,208,5,7.54,255,202,55,0,7,8,7,255.0,375.0,90.0,1.5,64.44416
+124,ml,https://github.com/onnx/onnx,,,,onnx/onnx,onnx,14187,3350,431,Python,https://onnx.ai/,onnx: Open standard for machine learning interoperability,onnx,2023-03-04,2017-09-07,286,49.53067331670823,"['deep-learning', 'deep-neural-networks', 'neural-network', 'onnx', 'pytorch', 'mxnet', 'tensorflow', 'keras', 'scikit-learn', 'ml', 'machine-learning', 'dnn']",2023-03-03,270,2,6.17,370,245,67,0,3,5,3,370.0,474.0,90.0,1.3,64.40457
+648,profiling,https://github.com/plasma-umass/scalene,1.0,,,plasma-umass/scalene,scalene,7426,247,72,JavaScript,,"Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals",plasma-umass,2023-03-04,2019-12-17,167,44.277683134582624,"['python', 'profiling', 'performance-analysis', 'cpu-profiling', 'profiler', 'python-profilers', 'gpu-programming', 'scalene', 'profiles-memory', 'performance-cpu', 'cpu', 'memory-allocation', 'gpu', 'memory-consumption']",2023-02-27,37,5,10.06,83,48,39,0,17,13,17,83.0,141.0,90.0,1.7,64.3678
+788,diffusion,https://github.com/ashawkey/stable-dreamfusion,,,,ashawkey/stable-dreamfusion,stable-dreamfusion,3937,346,83,Python,,"stable-dreamfusion: A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.",ashawkey,2023-03-04,2022-10-06,21,183.72666666666666,"['text-to-3d', 'gui', 'nerf', 'stable-diffusion', 'dreamfusion']",2023-03-03,8,3,1.5,78,32,5,0,0,0,0,78.0,182.0,90.0,2.3,64.3334
+552,ml,https://github.com/open-mmlab/mmsegmentation,,,,open-mmlab/mmsegmentation,mmsegmentation,5308,1955,52,Python,https://mmsegmentation.readthedocs.io/en/latest/,mmsegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark.,open-mmlab,2023-03-04,2020-06-14,142,37.38028169014085,"['semantic-segmentation', 'pytorch', 'pspnet', 'deeplabv3', 'transformer', 'swin-transformer', 'realtime-segmentation', 'vessel-segmentation', 'retinal-vessel-segmentation', 'image-segmentation', 'medical-image-segmentation']",2023-02-28,136,5,3.54,462,289,33,0,19,15,19,462.0,673.0,90.0,1.5,64.2769
+803,web,https://github.com/encode/httpx,,,,encode/httpx,httpx,10136,673,112,Python,https://www.python-httpx.org/,httpx: A next generation HTTP client for Python. 🦋,encode,2023-03-04,2019-04-04,204,49.582110412299095,"['python', 'http', 'trio', 'asyncio']",2023-03-01,186,5,3.06,101,72,48,0,4,20,4,101.0,131.0,90.0,1.3,64.24519
+200,ml,https://github.com/huggingface/accelerate,,,,huggingface/accelerate,accelerate,3793,346,70,Python,https://huggingface.co/docs/accelerate,"accelerate: 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision",huggingface,2023-03-04,2020-10-30,122,31.01752336448598,[],2023-03-03,96,4,9.15,296,241,28,0,16,10,16,296.0,806.0,90.0,2.7,64.01662
+315,gui,https://github.com/hoffstadt/dearpygui,,,,hoffstadt/dearpygui,DearPyGui,9757,511,138,C++,https://dearpygui.readthedocs.io/en/latest/,DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies,hoffstadt,2023-03-04,2020-05-28,144,67.55588526211672,"['cpp', 'python', 'imgui', 'toolkit', 'native', 'tools', 'gui', 'graphics', 'macos', 'linux', 'ui', 'python-gui', 'cross-platform', 'windows', 'dearpygui']",2023-03-02,58,3,2.46,187,136,34,0,6,8,6,187.0,185.0,90.0,1.0,63.87038
+753,ml,https://github.com/marqo-ai/marqo,,,,marqo-ai/marqo,marqo,2409,93,26,Python,https://www.marqo.ai/,marqo: Tensor search for humans.,marqo-ai,2023-03-04,2022-08-01,30,78.06944444444444,"['deep-learning', 'information-retrieval', 'machinelearning', 'vector-search', 'tensor-search', 'clip', 'multi-modal', 'search-engine', 'transformers', 'vision-language', 'machine-learning', 'semantic-search', 'visual-search', 'natural-language-processing', 'hnsw', 'knn', 'hacktoberfest', 'chatgpt', 'gpt', 'large-language-models']",2023-03-03,22,2,12.96,184,117,7,0,11,19,11,184.0,253.0,90.0,1.4,63.8598
+394,web,https://github.com/encode/starlette,,,,encode/starlette,starlette,7944,720,111,Python,https://www.starlette.io/,starlette: The little ASGI framework that shines. 🌟,encode,2023-03-04,2018-06-25,244,32.44340723453909,"['python', 'async', 'websockets', 'http']",2023-03-03,225,4,3.52,113,82,57,0,13,27,13,113.0,252.0,90.0,2.2,63.78092
+854,viz,https://github.com/visgl/deck.gl,,,,visgl/deck.gl,deck.gl,10650,1933,1720,JavaScript,https://deck.gl,deck.gl: WebGL2 powered visualization framework,visgl,2023-03-04,2015-12-15,376,28.2707622298066,"['webgl', 'data-visualization', 'javascript', 'visualization', 'python', 'geospatial-analysis', 'maps']",2023-03-03,219,4,7.31,218,175,88,0,54,73,54,218.0,319.0,90.0,1.5,63.77423
+171,ml-dl,https://github.com/facebookresearch/pytorch3d,,,,facebookresearch/pytorch3d,pytorch3d,7009,1077,141,Python,https://pytorch3d.org/,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data,facebookresearch,2023-03-04,2019-10-25,175,39.986145069274656,[],2023-02-28,114,6,6.81,129,68,41,0,4,4,4,129.0,212.0,90.0,1.6,63.74608
+116,ml-ops,https://github.com/kedro-org/kedro,,From: https://github.com/quantumblacklabs/kedro,,kedro-org/kedro,kedro,8138,765,104,Python,https://kedro.org,"kedro: A Python framework for creating reproducible, maintainable and modular data science code.",kedro-org,2023-03-04,2019-04-18,202,40.20183486238532,"['pipeline', 'kedro', 'hacktoberfest', 'mlops', 'experiment-tracking', 'python', 'machine-learning']",2023-03-02,185,3,6.65,438,236,47,0,6,9,6,438.0,510.0,90.0,1.2,63.60693
+538,nlp,https://github.com/nvidia/nemo,,,,nvidia/nemo,NeMo,5790,1406,139,Python,https://nvidia.github.io/NeMo/,NeMo: a toolkit for conversational AI,nvidia,2023-03-04,2019-08-05,186,30.986238532110093,"['deep-learning', 'speech-recognition', 'nlp', 'nlp-machine-learning', 'neural-network', 'machine-translation', 'speech-synthesis', 'speech-to-text', 'text-to-speech', 'nmt', 'language-model', 'speaker-diarization', 'speaker-recognition', 'text-normalization', 'asr', 'tts']",2023-03-02,207,2,18.87,770,674,44,0,12,11,12,770.0,950.0,90.0,1.2,63.35806
+1021,nlp,https://github.com/whitead/paper-qa,1.0,,,whitead/paper-qa,paper-qa,997,66,21,Python,,paper-qa: LLM Chain for answering questions from documents with citations,whitead,2023-03-05,2023-02-05,4,249.25,[],2023-03-02,3,1,1.46,19,15,1,0,19,231,19,19.0,27.0,90.0,1.4,63.3421
+125,perf,https://github.com/modin-project/modin,,,,modin-project/modin,modin,8421,591,108,Python,http://modin.readthedocs.io,Modin: Scale your Pandas workflows by changing a single line of code,modin-project,2023-03-04,2018-06-21,245,34.31140861466822,"['dataframe', 'pandas', 'distributed', 'datascience', 'modin', 'sql', 'python', 'analytics', 'data-science', 'hacktoberfest']",2023-03-03,110,3,9.42,543,374,57,0,14,14,14,543.0,549.0,90.0,1.0,63.18222
+66,util,https://github.com/pycqa/pylint,,,,pycqa/pylint,pylint,4534,979,75,Python,http://pylint.pycqa.org,pylint: It's not just a linter that annoys you!,pycqa,2023-03-04,2015-12-09,377,12.008323874385168,"['static-analysis', 'linter', 'static-code-analysis', 'code-quality', 'pep8', 'closember', 'hacktoberfest']",2023-03-03,514,4,38.29,724,496,88,0,35,24,35,724.0,2126.0,90.0,2.9,63.12228
+244,util,https://github.com/aws/serverless-application-model,,,,aws/serverless-application-model,serverless-application-model,8937,2302,298,Python,https://aws.amazon.com/serverless/sam,serverless-application-model: The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.,aws,2023-03-03,2016-10-10,333,26.76893453145058,"['serverless', 'aws', 'lambda', 'aws-sam', 'sam', 'sam-specification', 'serverless-applications', 'serverless-application-model']",2023-03-03,262,5,8.56,467,351,78,0,20,11,20,467.0,324.0,90.0,0.7,63.11677
+72,util,https://github.com/python-pillow/pillow,,,,python-pillow/pillow,Pillow,10572,1988,218,Python,https://python-pillow.org,Pillow: Python Imaging Library (Fork),python-pillow,2023-03-04,2012-07-24,553,19.092879256965944,"['c', 'cross-platform', 'pil', 'pillow', 'python', 'python-3', 'image-processing', 'image']",2023-03-04,428,4,18.77,322,255,129,0,5,8,5,323.0,596.0,90.0,1.8,62.89462
+62,viz,https://github.com/plotly/plotly.py,,,,plotly/plotly.py,plotly.py,13020,2306,275,Python,https://plotly.com/python/,plotly.py: The interactive graphing library for Python :sparkles: This project now includes Plotly Express!,plotly,2023-03-04,2013-11-21,484,26.877027425538188,"['python', 'd3', 'plotly', 'plotlyjs', 'webgl', 'dashboard', 'visualization', 'graph-library', 'plotly-dash', 'jupyter-notebook', 'sparkles', 'regl', 'declarative', 'interactive']",2023-02-24,219,4,5.33,257,105,113,0,10,15,10,257.0,342.0,90.0,1.3,62.88882
+90,web,https://github.com/tornadoweb/tornado,1.0,,,tornadoweb/tornado,tornado,21004,5494,1003,Python,http://www.tornadoweb.org/,"Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.",tornadoweb,2023-03-04,2009-09-09,703,29.853401015228428,"['python', 'asynchronous']",2023-02-21,435,6,1.79,54,36,164,0,0,5,5,54.0,88.0,90.0,1.6,62.88808
+813,ml-dl,https://github.com/danielgatis/rembg,,,,danielgatis/rembg,rembg,8561,1069,105,Python,,Rembg is a tool to remove images background,danielgatis,2023-03-04,2020-08-10,133,63.95624332977588,"['image-processing', 'background-removal', 'python']",2022-12-28,33,4,1.63,69,53,31,2,16,13,16,69.0,137.0,90.0,2.0,62.83397
+542,util,https://github.com/mamba-org/mamba,,,,mamba-org/mamba,mamba,4274,247,44,C++,https://mamba.readthedocs.io,mamba: The Fast Cross-Platform Package Manager,mamba-org,2023-03-04,2019-03-05,208,20.477754962354553,[],2023-03-03,112,6,9.85,306,180,49,0,13,51,13,306.0,800.0,90.0,2.6,62.80929
+469,util,https://github.com/alievk/avatarify-python,,,,alievk/avatarify-python,avatarify-python,15436,2411,302,Python,,"avatarify-python: Avatars for Zoom, Skype and other video-conferencing apps.",alievk,2023-03-04,2020-04-06,151,101.64816556914393,[],2022-11-11,23,4,0.02,63,16,35,4,0,1,1,64.0,236.0,90.0,3.7,62.76918
+425,ml-dl,https://github.com/albumentations-team/albumentations,,,,albumentations-team/albumentations,albumentations,11637,1478,124,Python,https://albumentations.ai,albumentations: Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125,albumentations-team,2023-03-04,2018-06-06,247,47.00461627236007,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'detection', 'fast-augmentations', 'segmentation', 'image-segmentation', 'image-processing', 'image-classification', 'python', 'object-detection']",2023-02-21,127,4,1.42,80,36,58,0,3,3,3,80.0,142.0,90.0,1.8,62.44275
+997,finance,https://github.com/ranaroussi/yfinance,1.0,,,ranaroussi/yfinance,yfinance,9050,1832,220,Python,https://aroussi.com/post/python-yahoo-finance,yfinance: Download market data from Yahoo! Finance's API,ranaroussi,2023-03-05,2017-05-21,302,29.966887417218544,"['python', 'pandas', 'yahoo-finance-api', 'yahoo-finance', 'stock-data', 'market-data', 'financial-data', 'fix-yahoo-finance']",2023-02-21,75,2,5.9,575,424,70,0,41,10,41,575.0,1166.0,90.0,2.0,62.38806
+286,data,https://github.com/simonw/datasette,1.0,,,simonw/datasette,datasette,7185,498,101,Python,https://datasette.io,datasette: An open source multi-tool for exploring and publishing data,simonw,2023-03-04,2017-10-23,279,25.673813169984687,"['sqlite', 'python', 'datasets', 'json', 'docker', 'datasette', 'automatic-api', 'asgi', 'csv', 'datasette-io', 'sql']",2023-01-28,73,6,8.1,136,51,65,1,17,25,17,136.0,366.0,90.0,2.7,62.31343
+352,ml-ops,https://github.com/activeloopai/hub,,,,activeloopai/hub,deeplake,5275,420,64,Python,https://activeloop.ai,"deeplake: Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai ",activeloopai,2023-03-04,2019-08-09,186,28.316717791411044,"['datasets', 'deep-learning', 'machine-learning', 'data-science', 'pytorch', 'tensorflow', 'data-version-control', 'python', 'ai', 'ml', 'mlops', 'computer-vision', 'cv', 'data-processing', 'image-processing', 'data-centric', 'jupyter-notebook', 'datalake', 'lakehouse']",2023-03-04,107,4,25.1,212,179,43,0,62,35,62,212.0,206.0,90.0,1.0,62.30878
+184,ml-dl,https://github.com/google/flax,,,,google/flax,flax,4071,486,77,Python,https://flax.readthedocs.io,Flax is a neural network library for JAX that is designed for flexibility.,google,2023-03-04,2020-01-10,164,24.78,['jax'],2023-03-03,187,5,9.92,274,200,38,0,14,8,14,274.0,413.0,90.0,1.5,62.28503
+4,pandas,https://github.com/aws/aws-sdk-pandas,1.0,,,aws/aws-sdk-pandas,aws-sdk-pandas,3344,581,62,Python,https://aws-sdk-pandas.readthedocs.io,"aws-sdk-pandas: pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).",aws,2023-03-04,2019-02-26,209,15.945504087193461,"['python', 'aws', 'pandas', 'apache-arrow', 'apache-parquet', 'data-engineering', 'etl', 'data-science', 'redshift', 'athena', 'lambda', 'aws-lambda', 'aws-glue', 'emr', 'amazon-athena', 'glue-catalog', 'mysql', 'amazon-sagemaker-notebook']",2023-03-03,124,5,5.65,288,256,49,0,15,25,15,288.0,1458.0,90.0,5.1,62.27035
+831,util,https://github.com/adafruit/circuitpython,,,,adafruit/circuitpython,circuitpython,3423,920,130,C,https://circuitpython.org,CircuitPython - a Python implementation for teaching coding with microcontrollers,adafruit,2023-03-04,2016-08-20,341,10.03391959798995,"['circuitpython', 'micropython', 'python', 'embedded', 'microcontroller', 'education', 'beginner', 'cpython', 'python3', 'hacktoberfest']",2023-03-03,897,6,36.08,524,341,80,0,29,38,29,524.0,1193.0,90.0,2.3,62.19281
+26,term,https://github.com/google/python-fire,,,,google/python-fire,python-fire,24057,1369,381,Python,,python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.,google,2023-03-04,2017-02-21,314,76.44076259645938,"['python', 'cli']",2023-02-13,59,4,0.52,49,28,73,1,1,2,1,49.0,73.0,90.0,1.5,62.09648
+163,term,https://github.com/tqdm/tqdm,1.0,,,tqdm/tqdm,tqdm,24141,1225,208,Python,https://tqdm.github.io,"tqdm: A Fast, Extensible Progress Bar for Python and CLI",tqdm,2023-03-04,2015-06-03,404,59.670550847457626,"['progressbar', 'progressmeter', 'progress-bar', 'meter', 'rate', 'console', 'terminal', 'time', 'progress', 'gui', 'python', 'parallel', 'cli', 'utilities', 'jupyter', 'discord', 'telegram', 'pandas', 'keras', 'closember']",2023-03-03,112,4,0.52,67,13,94,0,5,20,5,67.0,40.0,90.0,0.6,62.08426
+19,time-series,https://github.com/facebook/prophet,1.0,,,facebook/prophet,prophet,15558,4372,421,Python,https://facebook.github.io/prophet,prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,facebook,2023-03-04,2016-11-16,328,47.350434782608694,"['forecasting', 'r', 'python']",2023-02-28,163,4,1.04,282,151,77,0,3,2,3,282.0,170.0,90.0,0.6,61.81065
+53,perf,https://github.com/numba/numba,,,,numba/numba,numba,8326,1004,207,Python,http://numba.pydata.org/,numba: NumPy aware dynamic Python compiler using LLVM,numba,2023-03-04,2012-03-08,573,14.519681116093672,"['python', 'numpy', 'llvm', 'compiler', 'cuda', 'parallel']",2023-03-03,334,4,27.5,404,225,134,0,5,17,5,405.0,922.0,90.0,2.3,61.74989
+459,ml-ops,https://github.com/dbt-labs/dbt-core,,,,dbt-labs/dbt-core,dbt-core,6625,1169,135,Python,https://getdbt.com,dbt-core: dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.,dbt-labs,2023-03-04,2016-03-10,364,18.179145433163466,"['dbt-viewpoint', 'slack', 'pypa', 'data-modeling', 'business-intelligence', 'analytics', 'elt']",2023-03-03,267,3,10.96,1037,700,85,0,55,23,55,1037.0,1677.0,90.0,1.6,61.73109
+727,ml-dl,https://github.com/mosaicml/composer,,,,mosaicml/composer,composer,3018,196,27,Python,http://docs.mosaicml.com,composer: Train neural networks up to 7x faster,mosaicml,2023-03-04,2021-10-12,72,41.5049115913556,"['deep-learning', 'pytorch', 'neural-networks', 'ml-systems', 'ml-efficiency', 'ml-training', 'machine-learning', 'neural-network']",2023-03-04,61,2,22.92,284,268,17,0,15,22,15,284.0,275.0,90.0,1.0,61.69266
+50,viz,https://github.com/mwaskom/seaborn,,,,mwaskom/seaborn,seaborn,10425,1709,252,Python,https://seaborn.pydata.org,seaborn: Statistical data visualization in Python,mwaskom,2023-03-04,2012-06-18,558,18.654141104294478,"['python', 'data-visualization', 'data-science', 'matplotlib', 'pandas']",2023-02-26,188,5,4.96,136,108,130,0,9,3,9,136.0,281.0,90.0,2.1,61.34731
+412,util,https://github.com/pre-commit/pre-commit,,,,pre-commit/pre-commit,pre-commit,9894,709,90,Python,https://pre-commit.com,pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.,pre-commit,2023-03-04,2014-03-13,468,21.121683440073195,"['git', 'pre-commit', 'python', 'linter', 'refactoring']",2023-03-04,147,5,3.31,201,193,109,0,12,20,12,201.0,318.0,90.0,1.6,61.31029
+128,viz,https://github.com/altair-viz/altair,,,,altair-viz/altair,altair,8090,717,147,Python,https://altair-viz.github.io/,altair: Declarative statistical visualization library for Python,altair-viz,2023-03-04,2015-09-19,389,20.78928046989721,[],2023-03-01,151,6,4.65,296,234,91,0,2,4,2,296.0,766.0,90.0,2.6,61.29316
+102,ml-ops,https://github.com/spotify/luigi,,,,spotify/luigi,luigi,16367,2355,483,Python,,"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in. ",spotify,2023-03-04,2012-09-20,545,30.007595599790466,"['python', 'luigi', 'orchestration-framework', 'scheduling', 'hadoop']",2023-02-25,598,5,0.77,24,15,127,0,3,6,3,24.0,47.0,90.0,2.0,61.27694
+52,graph,https://github.com/networkx/networkx,,,,networkx/networkx,networkx,12291,2850,280,Python,https://networkx.org,networkx: Network Analysis in Python,networkx,2023-03-04,2010-09-06,651,18.85535831689678,"['python', 'complex-networks', 'graph-theory', 'graph-algorithms', 'graph-analysis', 'graph-generation', 'graph-visualization']",2023-03-02,641,2,9.0,316,228,152,0,15,7,15,316.0,513.0,90.0,1.6,61.2039
+793,web,https://github.com/starlite-api/starlite,,,,starlite-api/starlite,starlite,1765,174,26,Python,https://starliteproject.dev,"starlite: Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs",starlite-api,2023-03-04,2021-12-06,64,27.2136563876652,"['python', 'api', 'rest', 'pydantic', 'asgi', 'openapi', 'redoc', 'starlite', 'starlite-api', 'swagger', 'starlite-framework']",2023-03-03,91,3,18.33,383,348,15,0,103,110,103,379.0,726.0,90.0,1.9,61.16466
+356,ml-ops,https://github.com/netflix/metaflow,,,,netflix/metaflow,metaflow,6450,614,248,Python,https://metaflow.org,metaflow: :rocket: Build and manage real-life data science projects with ease!,netflix,2023-03-04,2019-09-17,180,35.691699604743086,"['machine-learning', 'data-science', 'productivity', 'model-management', 'ai', 'ml', 'ml-platform', 'ml-infrastructure', 'python', 'r', 'rstats', 'reproducible-research', 'r-package', 'mlops', 'datascience', 'high-performance-computing', 'kubernetes', 'aws', 'azure', 'gcp']",2023-03-02,64,4,2.94,117,67,42,0,31,25,31,117.0,158.0,90.0,1.4,61.10633
+221,jupyter,https://github.com/jupyterlite/jupyterlite,,,,jupyterlite/jupyterlite,jupyterlite,3096,194,43,Python,https://jupyterlite.rtfd.io/en/latest/try/lab,jupyterlite: Wasm powered Jupyter running in the browser 💡,jupyterlite,2023-03-04,2021-03-27,101,30.610169491525422,"['jupyter', 'jupyterlab', 'jupyterlab-extension', 'lite', 'webassembly', 'wasm', 'pyodide']",2023-02-15,44,4,12.71,127,64,24,1,18,440,18,127.0,353.0,90.0,2.8,61.07389
+701,util,https://github.com/openai/openai-python,,,,openai/openai-python,openai-python,4856,779,114,Python,,openai-python: The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.,openai,2023-03-04,2020-10-25,123,39.479674796747965,"['openai', 'python']",2023-03-03,47,3,1.42,138,114,29,0,18,21,18,138.0,287.0,90.0,2.1,61.03012
+763,diffusion,https://github.com/lkwq007/stablediffusion-infinity,,,,lkwq007/stablediffusion-infinity,stablediffusion-infinity,3056,240,32,Python,,stablediffusion-infinity: Outpainting with Stable Diffusion on an infinite canvas,lkwq007,2023-03-03,2022-09-02,26,116.26086956521739,"['outpainting', 'stablediffusion']",2023-01-24,7,2,4.56,39,16,6,1,0,6,6,39.0,58.0,90.0,1.5,61.02046
+280,nlp,https://github.com/maartengr/bertopic,,,,maartengr/bertopic,BERTopic,3870,490,44,Python,https://maartengr.github.io/BERTopic/,BERTopic: Leveraging BERT and c-TF-IDF to create easily interpretable topics. ,maartengr,2023-03-04,2020-09-22,127,30.302013422818792,"['bert', 'transformers', 'topic-modeling', 'sentence-embeddings', 'nlp', 'machine-learning', 'topic', 'ldavis', 'topic-modelling', 'topic-models']",2023-03-02,19,9,0.62,257,149,30,0,6,11,6,257.0,660.0,90.0,2.6,60.95019
+165,nlp,https://github.com/doccano/doccano,,,,doccano/doccano,doccano,7406,1496,125,Python,https://doccano.herokuapp.com,doccano: Open source annotation tool for machine learning practitioners.,doccano,2023-03-04,2018-05-09,251,29.438955139125497,"['natural-language-processing', 'machine-learning', 'annotation-tool', 'python', 'datasets', 'dataset', 'data-labeling', 'text-annotation', 'nuxtjs', 'vue', 'vuejs', 'nuxt']",2023-03-03,101,5,7.9,112,65,59,0,8,6,8,112.0,106.0,90.0,0.9,60.90895
+355,ml-ops,https://github.com/feast-dev/feast,,,,feast-dev/feast,feast,4027,752,74,Python,https://feast.dev,feast: Feature Store for Machine Learning,feast-dev,2023-03-04,2018-12-10,220,18.233505821474772,"['machine-learning', 'features', 'ml', 'big-data', 'feature-store', 'python', 'mlops', 'data-engineering', 'data-science', 'data-quality']",2023-03-04,191,5,13.31,261,179,52,0,30,30,30,261.0,422.0,90.0,1.6,60.859
+518,util,https://github.com/spack/spack,,,,spack/spack,spack,3233,1839,103,Python,https://spack.io,"spack: A flexible package manager that supports multiple versions, configurations, platforms, and compilers.",spack,2023-03-04,2014-01-08,477,6.769667962907568,"['python', 'spack', 'package-manager', 'hpc', 'build-tools', 'radiuss', 'scientific-computing', 'macos', 'linux']",2023-03-03,1357,4,85.96,2093,1447,111,0,6,5,6,2093.0,4866.0,90.0,2.3,60.8541
+104,nlp,https://github.com/rare-technologies/gensim,,,,rare-technologies/gensim,gensim,14019,4327,430,Python,https://radimrehurek.com/gensim,gensim: Topic Modelling for Humans,rare-technologies,2023-03-04,2011-02-10,629,22.272582841579663,"['gensim', 'topic-modeling', 'information-retrieval', 'machine-learning', 'natural-language-processing', 'nlp', 'data-science', 'python', 'data-mining', 'word2vec', 'word-embeddings', 'neural-network', 'document-similarity', 'word-similarity', 'fasttext']",2023-03-03,443,6,1.81,67,50,147,0,2,6,2,67.0,158.0,90.0,2.4,60.83126
+376,util,https://github.com/spotify/pedalboard,,,,spotify/pedalboard,pedalboard,4034,170,53,C++,,pedalboard: 🎛 🔊 A Python library for working with audio.,spotify,2023-03-04,2021-07-06,86,46.52059308072488,"['vst3', 'vst3-host', 'python', 'juce', 'tensorflow', 'audio-unit', 'pybind11', 'audio-processing', 'audio-production', 'audio-research', 'audio']",2023-02-22,25,6,4.48,36,25,20,0,23,24,23,36.0,37.0,90.0,1.0,60.7657
+470,nlp,https://github.com/microsoft/unilm,,,,microsoft/unilm,unilm,10064,1605,251,Python,https://aka.ms/nlpagi,"unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities",microsoft,2023-03-04,2019-07-23,188,53.32929598788797,"['nlp', 'language-generation', 'pre-trained-model', 'small-pre-trained-model', 'unilm', 'minilm', 'layoutlm', 'multimodal-pre-trained-model', 'layoutxlm', 'beit', 'document-ai', 'trocr', 'beit-3', 'foundation-models', 'xlm-e', 'deepnet', 'document-foundation-model', 'llm', 'multimodal', 'mllm']",2023-03-01,55,3,5.9,115,47,44,0,0,1,1,115.0,142.0,90.0,1.2,60.73856
+643,util,https://github.com/pyinstaller/pyinstaller,,,,pyinstaller/pyinstaller,pyinstaller,10076,1860,232,Python,http://www.pyinstaller.org,pyinstaller: Freeze (package) Python programs into stand-alone executables,pyinstaller,2023-03-04,2011-11-23,588,17.119417475728156,"['python', 'python-3', 'bundle', 'package', 'pyinstaller', 'python-to-exe', 'py2exe', 'py2app']",2023-02-26,446,4,7.06,273,241,137,0,13,5,13,273.0,339.0,90.0,1.2,60.73253
+551,ml,https://github.com/open-mmlab/mmcv,,,,open-mmlab/mmcv,mmcv,4727,1408,84,Python,https://mmcv.readthedocs.io/en/latest/,mmcv: OpenMMLab Computer Vision Foundation,open-mmlab,2023-03-03,2018-08-22,236,19.981280193236714,[],2023-03-03,250,6,5.52,216,148,55,0,15,23,15,216.0,273.0,90.0,1.3,60.71855
+7,util,https://github.com/boto/boto3,,,,boto/boto3,boto3,7925,1729,240,Python,https://aws.amazon.com/sdk-for-python/,boto3: AWS SDK for Python,boto,2023-03-04,2014-10-03,439,18.040650406504064,"['python', 'aws', 'cloud', 'cloud-management', 'aws-sdk']",2023-03-03,141,4,10.25,158,119,102,0,0,150,150,158.0,303.0,90.0,1.9,60.69228
+22,nlp,https://github.com/facebookresearch/parlai,,,,facebookresearch/parlai,ParlAI,9832,2001,292,Python,https://parl.ai,ParlAI: A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,facebookresearch,2023-03-03,2017-04-24,305,32.14572629612331,[],2023-02-24,204,3,4.29,104,80,71,0,3,6,3,104.0,169.0,90.0,1.6,60.66444
+41,util,https://github.com/kivy/kivy,,,,kivy/kivy,kivy,15574,2997,620,Python,https://kivy.org,"kivy: Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS",kivy,2023-03-04,2010-11-03,643,24.199334073251944,"['python', 'ui', 'windows', 'ios', 'android', 'macos', 'linux', 'app', 'kivy']",2023-02-25,580,6,1.63,153,84,150,0,1,3,1,152.0,256.0,90.0,1.7,60.60679
+507,ml,https://github.com/tensorflow/tensor2tensor,,,,tensorflow/tensor2tensor,tensor2tensor,13064,3183,460,Python,,tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,tensorflow,2023-03-04,2017-06-15,298,43.77596936333174,"['machine-learning', 'machine-translation', 'deep-learning', 'reinforcement-learning', 'tpu']",2023-02-17,243,5,0.25,6,2,70,0,0,13,13,6.0,6.0,90.0,1.0,60.45298
+811,data,https://github.com/datafold/data-diff,,,,datafold/data-diff,data-diff,2155,102,16,Python,https://www.datafold.com/blog/open-source-data-diff,data-diff: Efficiently diff data in or across relational databases,datafold,2023-03-04,2022-03-07,51,41.5564738292011,"['database', 'mysql', 'postgresql', 'snowflake', 'rdbms', 'trino', 'data-engineering', 'data-quality', 'data-science', 'data-quality-monitoring', 'databricks-sql', 'dataengineering', 'dataquality', 'oracle-database', 'postgres', 'sql', 'dbt', 'python']",2023-03-04,28,3,14.69,111,61,12,0,16,16,16,111.0,150.0,90.0,1.4,60.38595
+613,testing,https://github.com/robotframework/robotframework,,,,robotframework/robotframework,robotframework,7804,2092,475,Python,http://robotframework.org,robotframework: Generic automation framework for acceptance testing and RPA,robotframework,2023-03-04,2014-06-27,453,17.21651433974157,"['robotframework', 'testing', 'automation', 'testautomation', 'attd', 'bdd', 'rpa', 'python']",2023-03-01,174,4,9.4,177,96,106,0,13,15,13,177.0,320.0,90.0,1.8,60.30607
+770,nlp,https://github.com/huggingface/setfit,,,,huggingface/setfit,setfit,1164,118,16,Jupyter Notebook,,setfit: Efficient few-shot learning with Sentence Transformers,huggingface,2023-03-04,2022-06-30,35,32.854838709677416,"['few-shot-learning', 'nlp', 'sentence-transformers']",2023-03-03,36,5,6.13,170,109,8,0,8,15,8,170.0,431.0,90.0,2.5,60.29752
+227,ml,https://github.com/online-ml/river,1.0,,,online-ml/river,river,4107,460,83,Python,https://riverml.xyz,river: 🌊 Online machine learning in Python,online-ml,2023-03-04,2019-01-24,214,19.153231179213858,"['incremental-learning', 'machine-learning', 'python', 'online-learning', 'online-statistics', 'data-science', 'streaming', 'online-machine-learning', 'streaming-data', 'concept-drift', 'real-time-processing', 'stream-processing']",2023-03-03,95,7,5.77,63,52,50,0,6,7,6,63.0,188.0,90.0,3.0,60.28753
+532,util,https://github.com/facebookresearch/hydra,,,,facebookresearch/hydra,hydra,6848,561,87,Python,https://hydra.cc,Hydra is a framework for elegantly configuring complex applications,facebookresearch,2023-03-04,2019-06-12,194,35.19530102790015,[],2023-02-25,110,3,3.71,115,79,45,0,5,6,5,115.0,162.0,90.0,1.4,60.17826
+827,study,https://github.com/huggingface/diffusion-models-class,,,,huggingface/diffusion-models-class,diffusion-models-class,1937,175,72,Jupyter Notebook,,diffusion-models-class: Materials for the Hugging Face Diffusion Models Course,huggingface,2023-03-04,2022-10-13,20,94.81818181818181,[],2023-02-21,17,6,2.88,46,36,5,0,0,0,0,46.0,53.0,90.0,1.2,60.12552
+70,ml,https://github.com/pymc-devs/pymc3,,,,pymc-devs/pymc3,pymc,7348,1748,226,Python,https://docs.pymc.io/,pymc: Bayesian Modeling in Python,pymc-devs,2023-03-04,2009-05-05,721,10.181314330958037,"['python', 'statistical-analysis', 'bayesian-inference', 'mcmc', 'variational-inference', 'probabilistic-programming', 'pytensor']",2023-03-02,441,5,15.73,263,186,168,0,24,5,24,263.0,622.0,90.0,2.4,60.12416
+950,security,https://github.com/stamparm/maltrail,,,,stamparm/maltrail,maltrail,4992,937,216,Python,,maltrail: Malicious traffic detection system,stamparm,2023-03-04,2014-12-04,430,11.597743113176236,"['security', 'malware', 'intrusion-detection', 'sensor', 'python', 'network-monitoring', 'attack-detection']",2023-03-04,40,4,253.02,14,11,100,0,12,6,12,14.0,55.0,90.0,3.9,60.11255
+986,sim,https://github.com/astropy/astropy,,,,astropy/astropy,astropy,3692,1570,137,Python,https://www.astropy.org,astropy: Astronomy and astrophysics core library,astropy,2023-03-04,2011-07-21,606,6.088103651354535,"['python', 'astronomy', 'science', 'astrophysics', 'astropy']",2023-03-03,477,7,26.08,554,412,142,0,8,12,8,554.0,2153.0,90.0,3.9,60.10301
+820,ml,https://github.com/project-monai/monai,,,,project-monai/monai,MONAI,3811,740,88,Python,https://monai.io/,MONAI: AI Toolkit for Healthcare Imaging,project-monai,2023-03-04,2019-10-11,177,21.49637389202256,"['healthcare-imaging', 'deep-learning', 'medical-image-computing', 'medical-image-processing', 'pytorch', 'python3', 'monai']",2023-03-02,139,3,14.48,497,384,41,0,5,21,5,497.0,896.0,90.0,1.8,60.0789
+176,debug,https://github.com/cool-rr/pysnooper,1.0,,,cool-rr/pysnooper,PySnooper,15700,938,234,Python,,PySnooper: Never use print for debugging again,cool-rr,2023-03-04,2019-04-18,202,77.55822159491885,"['python', 'debug', 'debugger', 'introspection', 'logging']",2023-01-03,27,5,0.1,5,2,47,4,0,4,4,5.0,12.0,90.0,2.4,60.06763
+288,testing,https://github.com/hypothesisworks/hypothesis,1.0,,,hypothesisworks/hypothesis,hypothesis,6552,550,68,Python,https://hypothesis.works,"Hypothesis is a powerful, flexible, and easy to use library for property-based testing.",hypothesisworks,2023-03-03,2013-03-10,521,12.575815738963533,"['python', 'testing', 'fuzzing', 'property-based-testing']",2023-02-17,302,6,14.35,82,58,122,0,96,133,96,82.0,161.0,90.0,2.0,60.05455
+934,ml-dl,https://github.com/williamyang1991/vtoonify,,,,williamyang1991/vtoonify,VToonify,2948,358,59,Jupyter Notebook,,[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer,williamyang1991,2023-03-04,2022-09-09,25,116.58757062146893,"['face', 'siggraph-asia', 'style-transfer', 'stylegan2', 'toonify', 'video-style-transfer']",2023-02-24,4,3,3.23,24,7,6,0,0,0,0,24.0,59.0,90.0,2.5,59.90315
+768,data,https://github.com/gristlabs/grist-core,,,,gristlabs/grist-core,grist-core,3669,171,41,TypeScript,https://support.getgrist.com/self-managed/,grist-core: Grist is the evolution of spreadsheets.,gristlabs,2023-03-04,2020-05-22,145,25.253687315634217,"['awesome', 'database', 'spreadsheet']",2023-03-03,42,3,12.77,109,51,34,0,10,5,10,109.0,260.0,90.0,2.4,59.80994
+864,util,https://github.com/dosisod/refurb,1.0,,,dosisod/refurb,refurb,2153,42,16,Python,,refurb: A tool for refurbishing and modernizing Python codebases,dosisod,2023-03-04,2022-07-27,31,68.1945701357466,"['cli', 'mypy', 'python', 'python310', 'testing', 'gplv3', 'hacktoberfest']",2023-03-04,10,4,4.23,86,80,7,0,15,36,15,86.0,45.0,90.0,0.5,59.72543
+410,web,https://github.com/encode/uvicorn,,,,encode/uvicorn,uvicorn,6218,551,84,Python,https://www.uvicorn.org/,"uvicorn: An ASGI web server, for Python. 🦄",encode,2023-03-04,2017-05-31,300,20.687262357414447,"['python', 'asyncio', 'asgi', 'http', 'http-server']",2023-03-01,152,4,3.5,117,88,70,0,7,25,7,117.0,268.0,90.0,2.3,59.72207
+161,ml,https://github.com/wandb/client,,,,wandb/client,wandb,5559,442,43,Python,https://wandb.ai,wandb: 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,wandb,2023-03-04,2017-03-24,310,17.915745856353592,"['machine-learning', 'experiment-track', 'deep-learning', 'keras', 'tensorflow', 'pytorch', 'hyperparameter-search', 'reinforcement-learning', 'mlops', 'data-science', 'collaboration', 'hyperparameter-optimization', 'reproducibility', 'hyperparameter-tuning', 'data-versioning', 'model-versioning', 'ml-platform']",2023-03-04,138,2,13.12,1150,607,72,0,27,21,27,1151.0,1713.0,90.0,1.5,59.63811
+791,ml-ops,https://github.com/orchest/orchest,,,,orchest/orchest,orchest,3751,224,39,Python,https://orchest.io,"orchest: Build data pipelines, the easy way 🛠️",orchest,2023-03-04,2020-05-21,145,25.792730844793713,"['data-science', 'machine-learning', 'pipelines', 'ide', 'jupyter', 'cloud', 'self-hosted', 'jupyterlab', 'notebooks', 'docker', 'python', 'data-pipelines', 'orchest', 'deployment', 'kubernetes', 'airflow', 'dag', 'etl', 'etl-pipeline']",2023-01-20,31,5,72.48,75,56,34,1,94,72,94,75.0,75.0,90.0,1.0,59.57666
+704,sim,https://github.com/isl-org/open3d,,,,isl-org/open3d,Open3D,8184,1899,172,C++,http://www.open3d.org,Open3D: A Modern Library for 3D Data Processing,isl-org,2023-03-04,2016-12-02,326,25.08231173380035,"['mesh-processing', 'computer-graphics', 'opengl', 'cpp', 'python', 'reconstruction', 'odometry', 'visualization', 'registration', 'machine-learning', '3d', 'pointcloud', 'rendering', 'gui', '3d-perception', 'gpu', 'arm', 'cuda', 'pytorch', 'tensorflow']",2023-03-04,183,5,3.92,383,228,76,0,1,4,1,383.0,532.0,90.0,1.4,59.55281
+81,util,https://github.com/sphinx-doc/sphinx,,,,sphinx-doc/sphinx,sphinx,5244,1878,142,Python,https://www.sphinx-doc.org/,sphinx: The Sphinx documentation generator,sphinx-doc,2023-03-04,2015-01-02,426,12.301608579088471,"['python', 'documentation', 'documentation-tool', 'sphinx', 'markdown', 'restructuredtext']",2023-02-18,770,5,13.35,379,144,99,0,20,31,20,379.0,421.0,90.0,1.1,59.52705
+142,nlp,https://github.com/ukplab/sentence-transformers,,,,ukplab/sentence-transformers,sentence-transformers,9570,1869,119,Python,https://www.SBERT.net,sentence-transformers: Multilingual Sentence & Image Embeddings with BERT,ukplab,2023-03-04,2019-07-24,188,50.75,[],2023-01-26,107,4,1.52,137,26,44,1,2,9,2,137.0,133.0,90.0,1.0,59.352
+345,jupyter,https://github.com/mwouts/jupytext,,,,mwouts/jupytext,jupytext,5851,379,68,Python,https://jupytext.readthedocs.io,"jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts",mwouts,2023-03-03,2018-06-15,246,23.756960556844547,"['jupyter-notebook', 'jupyterlab-extension', 'version-control', 'knitr', 'rstudio', 'markdown', 'rmarkdown', 'python', 'hydrogen', 'notebooks', 'jupyterlab']",2023-02-25,78,6,1.17,46,29,57,0,7,28,7,46.0,120.0,90.0,2.6,59.35195
+944,nlp,https://github.com/microsoft/biogpt,,,,microsoft/biogpt,BioGPT,3312,312,61,Python,,microsoft/biogpt,microsoft,2023-03-04,2022-08-15,28,114.77227722772277,[],2023-02-13,9,4,0.62,64,28,7,1,0,0,0,64.0,119.0,90.0,1.9,59.29938
+924,util,https://github.com/openai/point-e,,,,openai/point-e,point-e,4512,458,166,Python,,point-e: Point cloud diffusion for 3D model synthesis,openai,2023-03-04,2022-12-06,12,354.87640449438203,[],2022-12-20,2,0,0.06,77,24,3,2,0,0,0,77.0,144.0,90.0,1.9,59.29268
+175,util,https://github.com/delgan/loguru,1.0,,,delgan/loguru,loguru,14237,589,120,Python,,loguru: Python logging made (stupidly) simple,delgan,2023-03-04,2017-08-15,289,49.141518737672584,"['python', 'logging', 'logger', 'log']",2023-03-03,42,1,2.13,74,50,68,0,0,3,3,74.0,131.0,90.0,1.8,59.16208
+877,time-series,https://github.com/unit8co/darts,,,,unit8co/darts,darts,5483,603,46,Python,https://unit8co.github.io/darts/,darts: A python library for user-friendly forecasting and anomaly detection on time series.,unit8co,2023-03-04,2018-09-13,233,23.488984088127296,"['python', 'time-series', 'forecasting', 'machine-learning', 'deep-learning', 'anomaly-detection', 'data-science']",2023-02-28,80,3,4.27,344,220,54,0,7,8,7,344.0,598.0,90.0,1.7,59.09597
+907,perf,https://github.com/exaloop/codon,,,,exaloop/codon,codon,5694,191,48,C++,https://docs.exaloop.io/codon,"codon: A high-performance, zero-overhead, extensible Python compiler using LLVM",exaloop,2023-03-03,2021-09-27,74,76.06488549618321,"['python', 'compiler', 'llvm', 'high-performance', 'gpu-programming', 'parallel-programming']",2023-02-06,7,1,1.62,142,99,17,1,5,4,5,142.0,316.0,90.0,2.2,59.07754
+10,util,https://github.com/cython/cython,,,,cython/cython,cython,7713,1364,231,Python,https://cython.org,cython: The most widely used Python to C compiler,cython,2023-03-04,2010-11-21,641,12.032761310452418,"['python', 'cython', 'cpython', 'cpython-extensions', 'c', 'cpp', 'performance', 'big-data']",2023-03-01,490,4,8.67,222,128,150,0,7,15,7,222.0,489.0,90.0,2.2,59.05823
+332,sim,https://github.com/unity-technologies/ml-agents,,,,unity-technologies/ml-agents,ml-agents,14208,3738,548,C#,https://unity.com/products/machine-learning-agents,ml-agents: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.,unity-technologies,2023-03-04,2017-09-08,286,49.62874251497006,"['reinforcement-learning', 'unity3d', 'deep-learning', 'unity', 'deep-reinforcement-learning', 'neural-networks', 'machine-learning']",2023-01-25,147,5,1.1,125,66,67,1,1,25,1,125.0,57.0,90.0,0.5,59.01985
+60,pandas,https://github.com/pandas-profiling/pandas-profiling,1.0,,,pandas-profiling/pandas-profiling,ydata-profiling,10294,1453,151,Python,https://ydata-profiling.ydata.ai,ydata-profiling: Create HTML profiling reports from pandas DataFrame objects,pandas-profiling,2023-03-04,2016-01-09,373,27.58728943338438,"['pandas-profiling', 'pandas-dataframe', 'statistics', 'jupyter-notebook', 'exploration', 'data-science', 'python', 'pandas', 'machine-learning', 'deep-learning', 'exploratory-data-analysis', 'eda', 'data-quality', 'html-report', 'data-exploration', 'data-analysis', 'jupyter', 'big-data-analytics', 'data-profiling', 'hacktoberfest']",2023-01-30,108,3,4.94,124,81,87,1,9,26,9,124.0,150.0,90.0,1.2,58.96772
+232,template,https://github.com/cookiecutter/cookiecutter,,,,cookiecutter/cookiecutter,cookiecutter,19044,1798,232,Python,https://pypi.org/project/cookiecutter/,"cookiecutter: A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.",cookiecutter,2023-03-04,2013-07-14,503,37.860834990059644,"['python', 'cookiecutter']",2022-09-09,285,6,2.98,61,10,117,6,2,3,2,61.0,71.0,90.0,1.2,58.90951
+427,ml-dl,https://github.com/facebookresearch/detr,,,,facebookresearch/detr,detr,10503,1929,150,Python,,detr: End-to-End Object Detection with Transformers,facebookresearch,2023-03-04,2020-05-26,144,72.57749259624876,[],2023-02-07,26,8,0.04,42,12,34,1,0,0,0,42.0,45.0,90.0,1.1,58.57044
+371,viz,https://github.com/marceloprates/prettymaps,,,,marceloprates/prettymaps,prettymaps,9085,442,73,Jupyter Notebook,,"prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.",marceloprates,2023-03-04,2021-03-05,104,87.11643835616438,"['matplotlib', 'jupyter-notebook', 'python', 'generative-art', 'cartography', 'maps', 'openstreetmap']",2023-02-15,15,3,0.83,8,2,24,1,1,9,1,8.0,18.0,90.0,2.2,58.47666
+105,nlp,https://github.com/nltk/nltk,,,,nltk/nltk,nltk,11586,2696,468,Python,https://www.nltk.org,NLTK Source,nltk,2023-03-04,2009-09-07,703,16.460726608483863,"['nltk', 'python', 'nlp', 'natural-language-processing', 'machine-learning']",2023-02-20,438,6,2.37,95,69,164,0,0,3,3,95.0,160.0,90.0,1.7,58.44988
+343,web,https://github.com/vitalik/django-ninja,,,,vitalik/django-ninja,django-ninja,4107,262,62,Python,https://django-ninja.rest-framework.com,"django-ninja: 💨  Fast, Async-ready, Openapi, type hints based framework for building APIs",vitalik,2023-03-04,2020-05-19,145,28.185294117647057,"['python', 'django', 'rest-api', 'openapi', 'pydantic', 'swagger', 'swagger-ui', 'django-ninja']",2023-02-24,82,3,3.21,120,76,34,0,5,10,5,120.0,244.0,90.0,2.0,58.44656
+721,ml,https://github.com/py-why/dowhy,,,,py-why/dowhy,dowhy,5706,817,136,Python,https://www.pywhy.org/dowhy,"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. ",py-why,2023-03-04,2018-05-31,248,22.968372627947097,"['causal-inference', 'machine-learning', 'graphical-models', 'bayesian-networks', 'data-science', 'python3', 'causality', 'causal-models', 'treatment-effects', 'do-calculus', 'causal-machine-learning']",2023-02-14,71,4,6.21,129,79,58,1,4,3,4,129.0,340.0,90.0,2.6,58.40654
+187,ml-interpretability,https://github.com/slundberg/shap,,,,slundberg/shap,shap,18682,2815,263,Jupyter Notebook,,shap: A game theoretic approach to explain the output of any machine learning model.,slundberg,2023-03-04,2016-11-22,327,57.00697471665214,"['interpretability', 'machine-learning', 'deep-learning', 'gradient-boosting', 'shap', 'shapley', 'explainability']",2022-06-16,205,4,1.87,154,23,76,9,1,8,1,154.0,134.0,90.0,0.9,58.38653
+442,gis,https://github.com/osgeo/gdal,,,,osgeo/gdal,gdal,3633,2021,163,C++,https://gdal.org,GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.,osgeo,2023-03-04,2012-10-09,542,6.694130034219532,"['raster', 'geospatial-data', 'vector', 'remote-sensing']",2023-03-02,513,7,47.44,569,513,127,0,9,14,9,569.0,707.0,90.0,1.2,58.33941
+270,web,https://github.com/strawberry-graphql/strawberry,,,,strawberry-graphql/strawberry,strawberry,2986,374,40,Python,https://strawberry.rocks,strawberry: A GraphQL library for Python that leverages type annotations 🍓,strawberry-graphql,2023-03-04,2018-12-21,219,13.616938110749185,"['graphql', 'graphql-server', 'python', 'starlette', 'asyncio', 'mypy', 'django', 'graphql-library', 'asgi', 'graphql-schema', 'strawberry', 'hacktoberfest']",2023-03-02,182,4,11.88,319,177,51,0,168,124,168,318.0,607.0,90.0,1.9,58.29362
+501,ml,https://github.com/ageron/handson-ml2,,,,ageron/handson-ml2,handson-ml2,24242,11679,632,Jupyter Notebook,,"handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.",ageron,2023-03-04,2019-01-08,216,111.86156888595913,[],2023-02-04,75,1,0.15,11,5,51,1,0,0,0,11.0,14.0,90.0,1.3,58.27693
+892,time-series,https://github.com/awslabs/gluonts,,,,awslabs/gluonts,gluonts,3381,681,70,Python,https://ts.gluon.ai,gluonts: Probabilistic time series modeling in Python,awslabs,2023-03-04,2019-05-15,198,17.026618705035972,"['time-series', 'deep-learning', 'forecasting', 'neural-networks', 'machine-learning', 'time-series-prediction', 'time-series-forecasting', 'mxnet', 'pytorch', 'aws', 'sagemaker', 'timeseries', 'artificial-intelligence', 'data-science']",2023-03-02,101,6,7.31,251,190,46,0,39,22,39,251.0,266.0,90.0,1.1,58.27048
+549,ml,https://github.com/open-mmlab/mmediting,,,,open-mmlab/mmediting,mmediting,4101,732,87,Python,https://mmediting.readthedocs.io/en/latest/,"mmediting: OpenMMLab Image and Video Restoration, Editing and Generation Toolbox",open-mmlab,2023-03-04,2019-08-23,184,22.253488372093024,"['super-resolution', 'inpainting', 'matting', 'image-generation', 'generative-adversarial-network', 'pytorch', 'deep-learning', 'video-interpolation', 'video-frame-interpolation', 'video-super-resolution', 'computer-vision', 'image-editing', 'image-processing', 'image-synthesis']",2023-02-24,68,5,2.81,230,191,43,0,13,6,13,230.0,242.0,90.0,1.1,58.23013
+775,util,https://github.com/google/latexify_py,,,,google/latexify_py,latexify_py,6038,328,52,Python,,latexify_py: A library to generate LaTeX expression from Python code.,google,2023-03-04,2020-07-25,136,44.3504721930745,[],2023-01-14,24,3,1.71,45,34,32,2,3,3,3,45.0,146.0,90.0,3.2,58.15955
+875,time-series,https://github.com/nixtla/statsforecast,,,,nixtla/statsforecast,statsforecast,2300,147,18,Python,https://nixtla.github.io/statsforecast/,statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.,nixtla,2023-03-04,2021-11-24,66,34.54935622317596,"['time-series', 'statistics', 'forecasting', 'arima', 'econometrics', 'machine-learning', 'python', 'exponential-smoothing', 'ets', 'baselines', 'predictions', 'naive', 'seasonal-naive', 'fbprophet', 'prophet', 'neuralprophet', 'mstl', 'theta', 'automl', 'data-science']",2023-03-04,18,3,15.29,94,68,16,0,22,20,22,94.0,95.0,90.0,1.0,58.08788
+422,ml-dl,https://github.com/pyro-ppl/pyro,,,,pyro-ppl/pyro,pyro,7813,965,201,Python,http://pyro.ai,pyro: Deep universal probabilistic programming with Python and PyTorch,pyro-ppl,2023-03-04,2017-06-16,298,26.19300766283525,"['python', 'pytorch', 'machine-learning', 'bayesian', 'probabilistic-programming', 'bayesian-inference', 'variational-inference', 'probabilistic-modeling', 'deep-learning']",2023-03-04,135,4,1.38,30,23,70,0,4,6,4,30.0,61.0,90.0,2.0,58.08484
+140,nlp,https://github.com/neuml/txtai,,,,neuml/txtai,txtai,3515,303,62,Python,https://neuml.github.io/txtai,txtai: 💡 Build AI-powered semantic search applications ,neuml,2023-03-04,2020-08-09,134,26.23134328358209,"['python', 'search', 'machine-learning', 'nlp', 'deep-learning', 'document-search', 'audio-search', 'image-search', 'video-search', 'semantic-search', 'similarity-search', 'neural-search', 'contextual-search', 'vector-search', 'machine-learning-workflows', 'machine-learning-pipelines', 'microservice', 'api', 'cloud-native', 'txtai']",2023-03-03,10,5,6.21,67,54,31,0,9,11,9,67.0,136.0,90.0,2.0,58.06866
+107,sim,https://github.com/atsushisakai/pythonrobotics,,,,atsushisakai/pythonrobotics,PythonRobotics,17654,5545,505,Python,https://atsushisakai.github.io/PythonRobotics/,PythonRobotics: Python sample codes for robotics algorithms.,atsushisakai,2023-03-04,2016-03-21,362,48.65275590551181,"['python', 'robotics', 'algorithm', 'path-planning', 'control', 'animation', 'localization', 'slam', 'cvxpy', 'ekf', 'autonomous-vehicles', 'autonomous-driving', 'mapping', 'autonomous-navigation', 'robot', 'hacktoberfest']",2023-02-21,107,5,2.02,44,42,85,0,0,0,0,44.0,12.0,90.0,0.3,58.04135
+883,study,https://github.com/huggingface/deep-rl-class,,,,huggingface/deep-rl-class,deep-rl-class,2694,355,85,Jupyter Notebook,,deep-rl-class: This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.,huggingface,2023-03-04,2022-04-21,45,59.301886792452834,"['deep-reinforcement-learning', 'reinforcement-learning', 'reinforcement-learning-excercises', 'deep-learning']",2023-03-02,45,1,11.81,145,135,11,0,0,0,0,145.0,263.0,90.0,1.8,58.02154
+840,ml,https://github.com/aws/sagemaker-python-sdk,,,,aws/sagemaker-python-sdk,sagemaker-python-sdk,1785,937,135,Python,https://sagemaker.readthedocs.io/,sagemaker-python-sdk: A library for training and deploying machine learning models on Amazon SageMaker,aws,2023-03-02,2017-11-14,276,6.450696954052659,"['aws', 'mxnet', 'tensorflow', 'machine-learning', 'python', 'pytorch', 'sagemaker', 'huggingface']",2023-03-03,336,2,10.17,300,171,65,0,79,91,79,300.0,3153.0,90.0,10.5,57.95406
+134,ml-dl,https://github.com/keras-team/autokeras,,,,keras-team/autokeras,autokeras,8758,1394,306,Python,http://autokeras.com/,autokeras: AutoML library for deep learning,keras-team,2023-03-04,2017-11-19,276,31.731884057971016,"['automl', 'neural-architecture-search', 'automated-machine-learning', 'python', 'deep-learning', 'machine-learning', 'autodl', 'tensorflow', 'keras']",2023-02-22,140,4,1.56,55,36,64,0,3,11,3,55.0,56.0,90.0,1.0,57.9005
+692,ml-dl,https://github.com/iperov/deepfacelab,,,,iperov/deepfacelab,DeepFaceLab,37675,8436,1056,Python,,DeepFaceLab is the leading software for creating deepfakes.,iperov,2023-03-04,2018-06-04,247,152.0028818443804,"['faceswap', 'face-swap', 'deep-learning', 'deeplearning', 'deep-neural-networks', 'deepfakes', 'deepface', 'deep-face-swap', 'fakeapp', 'neural-networks', 'neural-nets', 'deepfacelab', 'creating-deepfakes', 'arxiv', 'machine-learning']",2022-12-31,21,0,0.17,65,16,58,2,0,0,0,65.0,77.0,90.0,1.2,57.72838
+404,perf,https://github.com/python-trio/trio,,,,python-trio/trio,trio,5199,294,88,Python,https://trio.readthedocs.io,Trio – a friendly Python library for async concurrency and I/O,python-trio,2023-03-04,2017-01-16,319,16.254131308619918,"['python', 'async', 'async-await', 'networking', 'io', 'trio', 'structured-concurrency']",2023-03-03,140,4,6.27,119,94,75,0,0,4,4,119.0,266.0,90.0,2.2,57.57097
+602,ml,https://github.com/cleanlab/cleanlab,,,,cleanlab/cleanlab,cleanlab,5424,455,70,Python,https://cleanlab.ai,"cleanlab: The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",cleanlab,2023-03-04,2018-05-11,251,21.584991472427514,"['weak-supervision', 'robust-machine-learning', 'data-cleaning', 'classification', 'data-quality', 'data-science', 'exploratory-data-analysis', 'label-errors', 'noisy-labels', 'data-centric-ai', 'machine-learning', 'out-of-distribution-detection', 'outlier-detection', 'data-validation', 'active-learning', 'crowdsourcing', 'image-tagging', 'data-labeling', 'entity-recognition', 'annotations']",2023-03-01,29,5,9.04,129,84,59,0,4,1,4,129.0,180.0,90.0,1.4,57.46362
+714,util,https://github.com/jazzband/pip-tools,,,,jazzband/pip-tools,pip-tools,6660,567,105,Python,https://pip-tools.rtfd.io,pip-tools: A set of tools to keep your pinned Python dependencies fresh.,jazzband,2023-03-04,2012-09-10,546,12.178683385579937,"['python', 'packaging', 'pip', 'pip-tools', 'pip-compile', 'setuptools', 'requirements', 'lockfile', 'hashes']",2023-03-02,184,7,2.56,112,74,128,0,12,11,12,112.0,175.0,90.0,1.6,57.39429
+434,util,https://github.com/scikit-image/scikit-image,,,,scikit-image/scikit-image,scikit-image,5277,2106,185,Python,https://scikit-image.org,scikit-image: Image processing in Python,scikit-image,2023-03-04,2011-07-07,608,8.673162714252172,"['image-processing', 'python', 'computer-vision', 'hacktoberfest', 'closember']",2023-03-02,595,8,6.08,427,175,142,0,7,9,7,427.0,570.0,90.0,1.3,57.39078
+246,util,https://github.com/pyston/pyston,,,,pyston/pyston,pyston,2348,85,34,Python,https://www.pyston.org/,pyston: A faster and highly-compatible implementation of the Python programming language.,pyston,2023-03-02,2021-03-01,104,22.392370572207085,[],2023-02-28,1035,7,3.17,20,8,24,0,3,239,3,20.0,26.0,90.0,1.3,57.3704
+436,nlp,https://github.com/recognai/rubrix,,,,recognai/rubrix,argilla,1668,155,19,Python,https://docs.argilla.io,argilla: ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.,recognai,2023-03-04,2021-04-28,96,17.272189349112427,"['python', 'data-science', 'human-in-the-loop', 'natural-language-processing', 'mlops', 'artificial-intelligence', 'knowledge-graph', 'developer-tools', 'text-labeling', 'annotation-tool', 'nlp', 'machine-learning', 'active-learning', 'weak-supervision', 'weakly-supervised-learning', 'spacy', 'text-classification', 'dataops', 'text-annotation', 'hacktoberfest']",2023-03-03,40,6,10.5,578,372,22,0,23,50,23,578.0,630.0,90.0,1.1,57.31226
+923,study,https://github.com/roboflow/notebooks,,,,roboflow/notebooks,notebooks,841,130,23,Jupyter Notebook,https://roboflow.com/models,notebooks: Set of Jupyter Notebooks linked to Roboflow blog posts and used in our YouTube videos.,roboflow,2023-03-03,2022-11-18,15,55.018691588785046,"['computer-vision', 'deep-learning', 'deep-neural-networks', 'image-classification', 'image-segmentation', 'object-detection', 'yolov5', 'yolov6', 'yolov7', 'pytorch', 'tutorial', 'amazon-sagemaker-lab', 'kaggle', 'yolov8', 'google-colab', 'machine-learning']",2023-03-03,9,3,2.56,44,41,4,0,1,3,1,44.0,158.0,90.0,3.6,57.19714
+493,ml-dl,https://github.com/rasbt/deeplearning-models,,,,rasbt/deeplearning-models,deeplearning-models,15637,3853,594,Jupyter Notebook,,"deeplearning-models: A collection of various deep learning architectures, models, and tips",rasbt,2023-03-04,2019-06-05,195,79.9554419284149,[],2023-02-16,11,5,0.67,2,2,46,0,0,0,0,2.0,2.0,90.0,1.0,57.1812
+381,ml-ops,https://github.com/aimhubio/aim,,,,aimhubio/aim,aim,3207,201,37,TypeScript,https://aimstack.io,Aim 💫 — easy-to-use and performant open-source ML experiment tracker.,aimhubio,2023-03-04,2019-05-31,196,16.33842794759825,"['python', 'ai', 'data-science', 'data-visualization', 'experiment-tracking', 'machine-learning', 'metadata', 'metadata-tracking', 'ml', 'mlflow', 'mlops', 'pytorch', 'tensorboard', 'tensorflow', 'visualization']",2023-03-02,52,4,11.06,232,132,46,0,40,41,40,232.0,343.0,90.0,1.5,57.12864
+322,web,https://github.com/graphql-python/graphene,,,,graphql-python/graphene,graphene,7591,812,144,Python,http://graphene-python.org/,graphene: GraphQL framework for Python,graphql-python,2023-03-04,2015-09-24,388,19.542846634792202,"['graphql', 'python', 'relay', 'framework', 'graphene']",2023-03-03,197,5,0.81,38,22,91,0,4,8,4,38.0,75.0,90.0,2.0,56.96556
+362,ml-ops,https://github.com/allegroai/clearml,,,,allegroai/clearml,clearml,4149,563,85,Python,https://clear.ml/docs,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management",allegroai,2023-03-04,2019-06-10,194,21.292521994134898,"['version-control', 'experiment-manager', 'version', 'control', 'experiment', 'deeplearning', 'deep-learning', 'machine-learning', 'machinelearning', 'ai', 'trains', 'trainsai', 'clearml', 'k8s', 'devops', 'mlops']",2023-03-02,73,3,1.52,137,51,45,0,21,36,21,137.0,292.0,90.0,2.1,56.93364
+20,typing,https://github.com/facebook/pyre-check,,,,facebook/pyre-check,pyre-check,6261,417,112,OCaml,https://pyre-check.org/,pyre-check: Performant type-checking for python.,facebook,2023-03-04,2017-11-10,277,22.579598145285935,"['python', 'typechecker', 'type-check', 'static-analysis', 'ocaml', 'code-quality', 'abstract-interpretation', 'security', 'program-analysis', 'taint-analysis', 'control-flow-analysis']",2023-03-03,235,2,48.85,23,11,65,0,2,16,2,23.0,28.0,90.0,1.2,56.92505
+630,util,https://github.com/pyca/cryptography,,,,pyca/cryptography,cryptography,5391,1141,121,Python,https://cryptography.io,cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.,pyca,2023-03-04,2013-08-07,499,10.791249642550758,"['python', 'cryptography']",2023-03-04,283,3,20.75,673,648,117,0,0,11,11,673.0,500.0,90.0,0.7,56.92355
+465,ml-dl,https://github.com/pytorch/torchrec,,,,pytorch/torchrec,torchrec,1325,229,26,Python,,torchrec: Pytorch domain library for recommendation systems,pytorch,2023-03-04,2021-07-12,85,15.43261231281198,"['pytorch', 'gpu', 'deep-learning', 'cuda', 'recommender-system', 'recommendation-system', 'sharding']",2023-03-02,140,4,13.67,232,174,20,0,4,3,4,232.0,582.0,90.0,2.5,56.89762
+581,ml-dl,https://github.com/alpa-projects/alpa,,,,alpa-projects/alpa,alpa,1958,241,33,Python,https://alpa.ai,alpa: Training and serving large-scale neural networks,alpa-projects,2023-03-04,2021-02-22,105,18.496626180836707,"['deep-learning', 'machine-learning', 'compiler', 'distributed-training', 'high-performance-computing', 'alpa', 'jax', 'distributed-computing', 'llm', 'auto-parallelization']",2023-02-28,36,6,6.37,123,85,25,0,12,6,12,123.0,199.0,90.0,1.6,56.84865
+732,ml-dl,https://github.com/pytorch/ignite,1.0,,,pytorch/ignite,ignite,4212,584,59,Python,https://pytorch-ignite.ai,ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,pytorch,2023-03-01,2017-11-23,275,15.292531120331951,"['pytorch', 'neural-network', 'python', 'machine-learning', 'deep-learning', 'metrics', 'hacktoberfest', 'closember']",2023-02-27,188,7,3.71,116,92,64,0,3,4,3,116.0,191.0,90.0,1.6,56.847
+348,ml-ops,https://github.com/evidentlyai/evidently,,,,evidentlyai/evidently,evidently,3193,346,36,Python,,evidently: Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b,evidentlyai,2023-03-04,2020-11-25,118,26.928915662650603,"['data-drift', 'jupyter-notebook', 'pandas-dataframe', 'machine-learning', 'model-monitoring', 'html-report', 'production-machine-learning', 'machine-learning-operations', 'mlops', 'data-science', 'hacktoberfest']",2023-03-03,35,3,14.94,81,63,28,0,22,20,22,81.0,58.0,90.0,0.7,56.83341
+664,ml,https://github.com/huggingface/evaluate,,,,huggingface/evaluate,evaluate,1169,117,43,Python,https://huggingface.co/docs/evaluate,🤗 Evaluate: A library for easily evaluating machine learning models and datasets.,huggingface,2023-03-04,2022-03-30,48,24.06764705882353,"['evaluation', 'machine-learning']",2023-03-01,116,3,7.69,80,37,11,0,8,9,8,80.0,160.0,90.0,2.0,56.82845
+97,jupyter,https://github.com/voila-dashboards/voila,,,,voila-dashboards/voila,voila,4586,459,78,Python,https://voila.readthedocs.io,voila: Voilà turns Jupyter notebooks into standalone web applications,voila-dashboards,2023-03-04,2018-08-21,236,19.373566686783345,"['jupyter', 'jupyter-notebook', 'jupyterlab-extension', 'dashboarding']",2023-03-03,64,4,1.94,39,17,55,0,13,29,13,39.0,99.0,90.0,2.5,56.78691
+363,ml-ops,https://github.com/kubeflow/pipelines,,,,kubeflow/pipelines,pipelines,3120,1394,102,Python,https://www.kubeflow.org/docs/components/pipelines/,pipelines: Machine Learning Pipelines for Kubeflow,kubeflow,2023-03-04,2018-05-12,251,12.42320819112628,"['kubeflow-pipelines', 'mlops', 'kubeflow', 'machine-learning', 'kubernetes', 'pipeline', 'data-science']",2023-03-04,361,1,15.37,749,358,59,0,31,28,31,749.0,1578.0,90.0,2.1,56.77703
+713,ml-ops,https://github.com/flyteorg/flyte,,,,flyteorg/flyte,flyte,3138,329,266,Python,https://flyte.org,"flyte: Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.",flyteorg,2023-03-04,2019-10-21,175,17.844029244516655,"['flyte', 'machine-learning', 'golang', 'scale', 'workflow', 'data-science', 'data-analysis', 'data', 'kubernetes-operator', 'kubernetes', 'orchestration-engine', 'mlops', 'dataops', 'grpc', 'python', 'battle-tested', 'production', 'production-grade', 'declarative', 'hacktoberfest']",2023-03-04,116,4,5.0,403,170,41,0,28,25,28,403.0,351.0,90.0,0.9,56.71501
+687,ml-dl,https://github.com/matterport/mask_rcnn,,,,matterport/mask_rcnn,Mask_RCNN,22741,11272,596,Python,,Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow,matterport,2023-03-04,2017-10-19,280,81.09373408048904,"['mask-rcnn', 'tensorflow', 'object-detection', 'instance-segmentation', 'keras']",2019-03-31,47,7,0.0,67,14,65,48,0,1,1,67.0,77.0,90.0,1.1,56.69562
+812,data,https://github.com/deepchecks/deepchecks,,,,deepchecks/deepchecks,deepchecks,2460,179,11,Python,https://docs.deepchecks.com/stable,Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.,deepchecks,2023-03-04,2021-10-11,72,33.76470588235294,"['machine-learning', 'ml', 'model-validation', 'data-validation', 'mlops', 'data-science', 'python', 'jupyter-notebook', 'model-monitoring', 'data-drift', 'html-report', 'deep-learning', 'pytorch', 'pandas-dataframe']",2023-03-03,40,2,12.5,362,144,17,0,19,36,19,362.0,119.0,90.0,0.3,56.66953
+114,nlp,https://github.com/allenai/allennlp,,,,allenai/allennlp,allennlp,11413,2242,281,Python,http://www.allennlp.org,"allennlp: An open-source NLP research library, built on PyTorch.",allenai,2023-03-03,2017-05-15,302,37.68443396226415,"['pytorch', 'nlp', 'natural-language-processing', 'deep-learning', 'data-science', 'python']",2022-11-22,265,4,1.06,7,5,71,3,5,11,5,7.0,8.0,90.0,1.1,56.55038
+294,util,https://github.com/paramiko/paramiko,,,,paramiko/paramiko,paramiko,8190,1915,319,Python,http://paramiko.org,paramiko: The leading native Python SSHv2 protocol library.,paramiko,2023-03-04,2009-02-02,734,11.1450233281493,[],2023-03-03,180,5,3.5,101,36,171,0,0,13,13,101.0,213.0,90.0,2.1,56.40053
+312,util,https://github.com/indygreg/pyoxidizer,,,,indygreg/pyoxidizer,PyOxidizer,4548,197,60,Rust,,PyOxidizer: A modern Python application packaging and distribution tool,indygreg,2023-03-04,2018-12-18,219,20.69960988296489,[],2023-01-21,53,4,25.37,51,12,51,1,12,88,12,51.0,54.0,90.0,1.1,56.38338
+939,nlp,https://github.com/karpathy/mingpt,,,,karpathy/mingpt,minGPT,13298,1514,229,Python,,minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training,karpathy,2023-03-04,2020-08-17,132,100.09247311827957,[],2023-01-08,15,5,0.96,21,5,31,2,0,0,0,21.0,6.0,90.0,0.3,56.35889
+193,util,https://github.com/pycqa/isort,,,,pycqa/isort,isort,5647,519,46,Python,https://pycqa.github.io/isort/,isort: A Python utility / library to sort imports.,pycqa,2023-03-04,2013-09-02,495,11.388360702967445,"['auto-formatter', 'isort', 'sorting-imports', 'python-utility', 'cli', 'linter', 'cleaner', 'formatter', 'python', 'python3', 'hacktoberfest']",2023-03-02,282,7,2.35,156,121,116,0,8,15,8,156.0,169.0,90.0,1.1,56.29183
+370,time-series,https://github.com/facebookresearch/kats,,,,facebookresearch/kats,Kats,4241,452,73,Python,,"Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. ",facebookresearch,2023-03-04,2021-02-25,105,40.22628726287263,[],2023-03-02,127,4,3.56,37,22,25,0,1,1,1,37.0,23.0,90.0,0.6,56.2681
+471,util,https://github.com/parthjadhav/tkinter-designer,,,,parthjadhav/tkinter-designer,Tkinter-Designer,5406,517,57,Python,,Tkinter-Designer: An easy and fast way to create a Python GUI 🐍,parthjadhav,2023-03-04,2021-05-18,93,57.6859756097561,"['tkinter', 'tkinter-gui', 'tkinter-python', 'tkinter-graphic-interface', 'python3', 'tkinter-widgets', 'gui-application', 'python-script', 'drag-and-drop', 'easy', 'easy-to-use', 'fast', 'gui', 'tkinter-designer', 'figma', 'python', 'automatic', 'collaborate', 'learn', 'hacktoberfest']",2023-02-26,36,3,0.96,22,8,22,0,2,5,2,22.0,18.0,90.0,0.8,56.26369
+675,ml-dl,https://github.com/facebookresearch/detectron,,,,facebookresearch/detectron,Detectron,25558,5492,960,Python,,"Detectron: FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.",facebookresearch,2023-03-04,2017-10-05,282,90.49367728882144,[],2023-02-21,41,3,0.02,9,0,66,0,0,0,0,9.0,3.0,90.0,0.3,56.23084
+51,testing,https://github.com/nedbat/coveragepy,,,,nedbat/coveragepy,coveragepy,2402,346,27,Python,https://coverage.readthedocs.io,coveragepy: The code coverage tool for Python,nedbat,2023-03-04,2018-06-23,245,9.798368298368299,[],2023-02-26,146,5,9.92,104,51,57,0,18,25,18,104.0,288.0,90.0,2.8,56.20126
+141,ml,https://github.com/featurelabs/featuretools,1.0,,,featurelabs/featuretools,featuretools,6531,840,158,Python,https://www.featuretools.com,featuretools: An open source python library for automated feature engineering,featurelabs,2023-03-04,2017-09-08,286,22.812874251497007,"['feature-engineering', 'machine-learning', 'data-science', 'automated-machine-learning', 'automl', 'python', 'scikit-learn', 'automated-feature-engineering']",2023-03-03,69,2,6.02,144,114,67,0,25,27,25,144.0,97.0,90.0,0.7,56.17975
+755,util,https://github.com/pypa/hatch,,,,pypa/hatch,hatch,3689,182,47,Python,https://hatch.pypa.io/latest/,"hatch: Modern, extensible Python project management",pypa,2023-03-04,2017-05-31,300,12.27328897338403,"['python', 'cli', 'virtualenv', 'packaging', 'versioning', 'build', 'plugin']",2023-02-09,26,8,9.0,126,65,70,1,52,15,52,126.0,290.0,90.0,2.3,56.07663
+966,ml,https://github.com/thu-ml/tianshou,,,,thu-ml/tianshou,tianshou,5847,917,82,Python,https://tianshou.readthedocs.io,tianshou: An elegant PyTorch deep reinforcement learning library.,thu-ml,2023-03-04,2018-04-16,254,22.942264573991032,"['pytorch', 'policy-gradient', 'dqn', 'double-dqn', 'a2c', 'ddpg', 'ppo', 'td3', 'sac', 'imitation-learning', 'mujoco', 'atari', 'bcq', 'library', 'rl', 'drl', 'benchmark', 'trpo', 'npg', 'cql']",2023-03-04,50,3,1.21,52,32,59,0,5,5,5,51.0,110.0,90.0,2.2,55.80613
+285,crypto,https://github.com/ethereum/consensus-specs,,,,ethereum/consensus-specs,consensus-specs,3073,787,246,Python,,consensus-specs: Ethereum Proof-of-Stake Consensus Specifications,ethereum,2023-03-04,2018-09-20,232,13.221266133988937,[],2023-03-02,136,3,11.06,189,148,54,0,11,16,11,190.0,252.0,90.0,1.3,55.59405
+431,viz,https://github.com/holoviz/panel,,,,holoviz/panel,panel,2613,322,48,Python,https://panel.holoviz.org,panel: A high-level app and dashboarding solution for Python,holoviz,2023-03-03,2018-08-23,236,11.051963746223565,"['holoviz', 'panel', 'dashboards', 'control-panels', 'gui', 'dataapp', 'dataviz', 'bokeh', 'datascience', 'holoviews', 'hvplot', 'jupyter', 'matplotlib', 'plotly']",2023-03-04,115,4,14.44,562,306,55,0,7,102,7,562.0,708.0,90.0,1.3,55.50065
+253,ml,https://github.com/microsoft/flaml,,,,microsoft/flaml,FLAML,2291,349,41,Jupyter Notebook,https://microsoft.github.io/FLAML/,FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.,microsoft,2023-03-04,2020-08-20,132,17.299892125134843,"['automl', 'hyperparam', 'automated-machine-learning', 'machine-learning', 'data-science', 'python', 'jupyter-notebook', 'hyperparameter-optimization', 'random-forest', 'scikit-learn', 'deep-learning', 'natural-language-processing', 'natural-language-generation', 'timeseries-forecasting', 'classification', 'regression', 'tuning', 'finetuning', 'tabular-data']",2023-03-01,65,4,4.9,128,75,31,0,19,20,19,128.0,182.0,90.0,1.4,55.44595
+553,ml-dl,https://github.com/pytorch/botorch,,,,pytorch/botorch,botorch,2544,306,50,Jupyter Notebook,https://botorch.org/,botorch: Bayesian optimization in PyTorch,pytorch,2023-03-03,2018-07-30,239,10.606313281715307,[],2023-03-02,88,2,6.9,213,165,56,0,12,7,12,213.0,837.0,90.0,3.9,55.44232
+684,util,https://github.com/py-pdf/pypdf2,,,,py-pdf/pypdf2,pypdf,5269,1171,143,Python,https://pypdf.readthedocs.io/en/latest/,"pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files",py-pdf,2023-03-04,2012-01-06,582,9.04882237487733,"['pypdf2', 'pdf', 'python', 'pdf-parser', 'pdf-parsing', 'pdf-manipulation', 'pdf-documents', 'help-wanted']",2023-03-04,170,1,14.12,268,234,136,0,55,6,55,268.0,894.0,90.0,3.3,55.41836
+56,term,https://github.com/pallets/click,,,,pallets/click,click,13554,1315,180,Python,https://click.palletsprojects.com,click: Python composable command line interface toolkit,pallets,2023-03-04,2014-04-24,462,29.31047265987025,"['python', 'cli', 'click', 'pallets']",2023-03-01,337,1,1.12,77,51,108,0,4,5,4,78.0,49.0,90.0,0.6,55.38929
+182,testing,https://github.com/tox-dev/tox,,,,tox-dev/tox,tox,3197,461,41,Python,https://tox.wiki,tox: Command line driven CI frontend and development task automation tool.,tox-dev,2023-03-04,2016-09-17,337,9.482627118644068,"['testing', 'python', 'virtualenv', 'continuous-integration', 'cli', 'automation', 'venv', 'travis', 'appveyor', 'gitlab', 'circleci', 'azure-pipelines', 'hacktoberfest', 'actions', 'pep-621']",2023-03-02,41,5,4.44,377,332,79,0,54,29,54,374.0,940.0,90.0,2.5,55.36929
+556,ml-dl,https://github.com/arogozhnikov/einops,,,,arogozhnikov/einops,einops,6449,290,63,Python,https://einops.rocks,"einops: Deep learning operations reinvented (for pytorch, tensorflow, jax and others)",arogozhnikov,2023-03-04,2018-09-22,232,27.78030769230769,"['deep-learning', 'pytorch', 'tensorflow', 'numpy', 'gluon', 'cupy', 'chainer', 'keras', 'tensor', 'jax']",2023-01-18,22,8,2.67,15,7,54,1,3,2,3,14.0,20.0,90.0,1.4,55.33018
+780,diffusion,https://github.com/jina-ai/discoart,,,,jina-ai/discoart,discoart,3648,221,33,Python,,discoart: 🪩 Create Disco Diffusion artworks in one line,jina-ai,2023-03-04,2022-06-30,35,102.96774193548387,"['creative-ai', 'disco-diffusion', 'cross-modal', 'dalle', 'generative-art', 'multimodal', 'diffusion', 'prompts', 'midjourney', 'imgen', 'discodiffusion', 'creative-art', 'clip-guided-diffusion', 'latent-diffusion', 'stable-diffusion']",2022-08-17,6,2,7.21,4,0,8,7,110,181,110,4.0,3.0,90.0,0.8,55.32178
+84,ml,https://github.com/statsmodels/statsmodels,,,,statsmodels/statsmodels,statsmodels,8235,2670,275,Python,http://www.statsmodels.org/devel/,Statsmodels: statistical modeling and econometrics in Python,statsmodels,2023-03-04,2011-06-12,612,13.455882352941176,"['python', 'statistics', 'econometrics', 'data-analysis', 'generalized-linear-models', 'timeseries-analysis', 'regression-models', 'count-model', 'data-science', 'forecasting', 'hypothesis-testing', 'prediction', 'robust-estimation']",2023-02-26,408,2,4.65,383,162,143,0,3,4,3,383.0,559.0,90.0,1.5,55.28972
+488,util,https://github.com/pydata/xarray,,,,pydata/xarray,xarray,2886,883,106,Python,https://xarray.dev,xarray: N-D labeled arrays and datasets in Python,pydata,2023-03-04,2013-09-30,491,5.86755736276503,"['python', 'netcdf', 'numpy', 'pandas', 'xarray', 'dask']",2023-03-03,412,6,8.63,310,153,115,0,8,8,8,309.0,686.0,90.0,2.2,55.06887
+28,ml-dl,https://github.com/google/trax,,,,google/trax,trax,7382,765,145,Python,,Trax — Deep Learning with Clear Code and Speed,google,2023-03-03,2019-10-05,178,41.43865276663993,"['jax', 'numpy', 'deep-learning', 'deep-reinforcement-learning', 'machine-learning', 'transformer', 'reinforcement-learning']",2023-02-15,78,5,0.4,16,6,42,1,0,5,5,16.0,6.0,90.0,0.4,55.03282
+389,data,https://github.com/yzhao062/pyod,,,,yzhao062/pyod,pyod,6790,1240,152,Python,http://pyod.readthedocs.io,pyod: A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection),yzhao062,2023-03-04,2017-10-03,282,24.017180394138453,"['outlier-detection', 'anomaly-detection', 'outlier-ensembles', 'outliers', 'anomaly', 'python', 'machine-learning', 'data-mining', 'unsupervised-learning', 'python2', 'python3', 'fraud-detection', 'autoencoder', 'neural-networks', 'deep-learning', 'data-science', 'data-analysis', 'novelty-detection', 'out-of-distribution-detection']",2022-12-16,46,5,3.56,24,5,66,3,10,6,10,24.0,36.0,90.0,1.5,54.98462
+95,perf,https://github.com/vaexio/vaex,,,,vaexio/vaex,vaex,7812,586,141,Python,https://vaex.io,"vaex: Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀",vaexio,2023-03-04,2014-09-27,440,17.748782862706914,"['dataframe', 'python', 'bigdata', 'tabular-data', 'visualization', 'memory-mapped-file', 'hdf5', 'machine-learning', 'machinelearning', 'data-science', 'pyarrow']",2022-12-08,72,7,3.25,72,10,103,3,0,43,43,72.0,90.0,90.0,1.2,54.97513
+258,crypto,https://github.com/ethereum/web3.py,1.0,,,ethereum/web3.py,web3.py,4065,1357,117,Python,http://web3py.readthedocs.io,web3.py: A python interface for interacting with the Ethereum blockchain and ecosystem.,ethereum,2023-03-03,2016-04-14,359,11.309618441971383,[],2023-02-24,223,4,6.17,158,116,84,0,0,27,27,158.0,157.0,90.0,1.0,54.92821
+372,gis,https://github.com/microsoft/torchgeo,,,,microsoft/torchgeo,torchgeo,1487,174,37,Python,https://torchgeo.rtfd.io,"TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data",microsoft,2023-03-04,2021-05-21,93,15.940275650842267,"['pytorch', 'torchvision', 'datasets', 'models', 'transforms', 'remote-sensing', 'deep-learning', 'earth-observation']",2023-03-03,35,5,8.98,312,258,22,0,4,4,4,312.0,490.0,90.0,1.6,54.92608
+432,study,https://github.com/jakevdp/pythondatasciencehandbook,,,,jakevdp/pythondatasciencehandbook,PythonDataScienceHandbook,37652,16606,1775,Jupyter Notebook,http://jakevdp.github.io/PythonDataScienceHandbook,PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks,jakevdp,2023-03-04,2016-08-10,342,109.90992493744787,"['scikit-learn', 'numpy', 'python', 'jupyter-notebook', 'matplotlib', 'pandas']",2018-11-30,17,8,0.0,10,2,80,52,0,0,0,10.0,7.0,90.0,0.7,54.92328
+599,gis,https://github.com/giswqs/geemap,,,,giswqs/geemap,geemap,2570,929,101,Python,https://geemap.org,"geemap: A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.",giswqs,2023-03-03,2020-03-08,156,16.474358974358974,"['google-earth-engine', 'gis', 'remote-sensing', 'image-processing', 'python', 'jupyter-notebook', 'ipyleaflet', 'mapping', 'earth-engine', 'ipywidgets', 'folium', 'jupyter', 'colab', 'geospatial', 'landsat', 'dataviz', 'data-science', 'streamlit', 'streamlit-webapp', 'earthengine']",2023-02-28,36,5,7.31,50,48,36,0,52,47,52,50.0,65.0,90.0,1.3,54.91089
+357,data,https://github.com/amundsen-io/amundsen,,,,amundsen-io/amundsen,amundsen,3796,906,246,Python,https://www.amundsen.io/amundsen/,"Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.",amundsen-io,2023-03-04,2019-05-14,198,19.102803738317757,"['amundsen', 'metadata', 'data-catalog', 'data-discovery', 'linuxfoundation']",2023-02-28,217,2,3.29,286,267,46,0,33,32,33,286.0,153.0,90.0,0.5,54.89394
+932,nlp,https://github.com/jonasgeiping/cramming,,,,jonasgeiping/cramming,cramming,953,61,20,Python,,Cramming the training of a (BERT-type) language model into limited compute.,jonasgeiping,2023-03-03,2022-12-29,9,101.07575757575758,"['english-language', 'language-model', 'machine-learning']",2023-02-19,3,2,0.5,12,11,2,0,0,0,0,12.0,34.0,90.0,2.8,54.86584
+557,jupyter,https://github.com/executablebooks/jupyter-book,,,,executablebooks/jupyter-book,jupyter-book,3257,614,60,Python,http://jupyterbook.org,"jupyter-book: Create beautiful, publication-quality books and documents from computational content.",executablebooks,2023-03-04,2018-06-14,246,13.216811594202898,"['jupyter', 'sphinx-doc', 'documentation-generator']",2023-03-01,120,6,1.4,106,50,57,0,5,9,5,106.0,220.0,90.0,2.1,54.81538
+782,diffusion,https://github.com/xavierxiao/dreambooth-stable-diffusion,,,,xavierxiao/dreambooth-stable-diffusion,Dreambooth-Stable-Diffusion,5662,622,83,Jupyter Notebook,,Dreambooth-Stable-Diffusion: Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion,xavierxiao,2023-03-04,2022-09-06,25,220.1888888888889,"['pytorch', 'pytorch-lightning', 'stable-diffusion', 'text-to-image']",2022-09-21,1,1,0.6,34,2,6,5,0,0,0,34.0,39.0,90.0,1.1,54.72545
+606,util,https://github.com/norvig/pytudes,,,,norvig/pytudes,pytudes,20095,2281,739,Jupyter Notebook,,"pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills.",norvig,2023-03-04,2017-03-01,313,64.08428246013668,"['python', 'python-3', 'programming', 'practice', 'demonstrate-skills']",2023-02-08,44,4,1.35,2,1,73,1,0,0,0,2.0,1.0,90.0,0.5,54.72317
+44,ml,https://github.com/lmcinnes/umap,,,,lmcinnes/umap,umap,6081,705,126,Python,,umap: Uniform Manifold Approximation and Projection,lmcinnes,2023-03-04,2017-07-02,296,20.54391891891892,"['umap', 'dimensionality-reduction', 'visualization', 'machine-learning', 'topological-data-analysis']",2023-02-23,112,6,1.08,44,17,69,0,1,5,1,44.0,71.0,90.0,1.6,54.70755
+949,ml,https://github.com/lutzroeder/netron,,,,lutzroeder/netron,netron,21483,2405,275,JavaScript,https://netron.app,"netron: Visualizer for neural network, deep learning, and machine learning models",lutzroeder,2023-03-04,2010-12-26,636,33.778301886792455,"['neural-network', 'deep-learning', 'machine-learning', 'deeplearning', 'machinelearning', 'ai', 'ml', 'visualizer', 'onnx', 'keras', 'tensorflow', 'tensorflow-lite', 'coreml', 'caffe', 'caffe2', 'mxnet', 'pytorch', 'torch', 'paddle', 'darknet']",2023-03-04,1,1,23.46,84,72,148,0,2,0,2,84.0,82.0,90.0,1.0,54.69864
+954,ml,https://github.com/facebookresearch/balance,,,,facebookresearch/balance,balance,590,28,5,Python,https://import-balance.org,balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.,facebookresearch,2023-03-04,2022-11-15,15,37.54545454545455,[],2023-02-19,11,2,1.88,21,17,4,0,5,15,5,21.0,88.0,90.0,4.2,54.69172
+733,data,https://github.com/ibis-project/ibis,1.0,,,ibis-project/ibis,ibis,2478,397,75,Python,https://ibis-project.org,ibis: Expressive analytics in Python at any scale.,ibis-project,2023-03-04,2015-04-17,411,6.025008683570684,"['python', 'impala', 'pandas', 'database', 'clickhouse', 'postgresql', 'sqlite', 'mysql', 'datafusion', 'sql', 'pyspark', 'dask', 'duckdb', 'bigquery', 'pyarrow', 'mssql', 'polars', 'snowflake', 'trino']",2023-03-04,127,3,50.83,796,727,96,0,7,5,7,796.0,1542.0,90.0,1.9,54.54605
+828,typing,https://github.com/python-attrs/attrs,1.0,,,python-attrs/attrs,attrs,4659,337,59,Python,https://www.attrs.org/,attrs: Python Classes Without Boilerplate,python-attrs,2023-03-04,2015-01-27,422,11.021628928692126,"['python', 'boilerplate', 'classes', 'oop', 'attributes']",2023-02-27,140,4,4.27,57,34,99,0,2,3,2,57.0,208.0,90.0,3.6,54.50669
+73,gis,https://github.com/python-visualization/folium,,,,python-visualization/folium,folium,6115,2173,164,Python,https://python-visualization.github.io/folium/,folium: Python Data. Leaflet.js Maps. ,python-visualization,2023-03-04,2013-05-09,512,11.933370504599944,"['closember', 'data-science', 'data-visualization', 'javascript', 'maps', 'python']",2023-02-17,149,6,1.9,73,58,120,0,2,2,2,73.0,154.0,90.0,2.1,54.47955
+156,profiling,https://github.com/gaogaotiantian/viztracer,,,,gaogaotiantian/viztracer,viztracer,3060,293,40,Python,https://viztracer.readthedocs.io/,VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.,gaogaotiantian,2023-03-04,2020-08-05,134,22.738853503184714,"['tracer', 'python3', 'debugging', 'profiling', 'visualization', 'flamegraph', 'python', 'logging']",2023-02-17,17,5,1.0,17,12,31,0,6,30,6,17.0,43.0,90.0,2.5,54.46405
+647,util,https://github.com/keon/algorithms,,,,keon/algorithms,algorithms,22225,4444,641,Python,,algorithms: Minimal examples of data structures and algorithms in Python,keon,2023-03-04,2016-11-17,328,67.67072640278381,"['algorithm', 'python', 'competitive-programming', 'data-structure', 'algorithms', 'sort', 'search', 'tree', 'graph']",2022-11-12,193,4,0.19,15,7,77,4,0,0,0,15.0,2.0,90.0,0.1,54.45842
+798,web,https://github.com/pallets/werkzeug,,,,pallets/werkzeug,werkzeug,6296,1683,227,Python,https://werkzeug.palletsprojects.com,werkzeug: The comprehensive WSGI web application library.,pallets,2023-03-02,2010-10-18,645,9.748285777482858,"['python', 'wsgi', 'werkzeug', 'http', 'pallets']",2023-03-03,470,6,3.27,108,106,151,0,7,7,7,108.0,84.0,90.0,0.8,54.44298
+946,nlp,https://github.com/alibaba/easynlp,,,,alibaba/easynlp,EasyNLP,1460,185,31,Python,,EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit,alibaba,2023-03-04,2022-04-06,47,30.69069069069069,"['transformers', 'bert', 'nlp', 'pretrained-models', 'deep-learning', 'pytorch', 'fewshot-learning', 'knowledge-distillation', 'knowledge-pretraining', 'text-image-retrieval', 'text-to-image-synthesis', 'machine-learning', 'text-classification', 'transfer-learning']",2023-02-26,34,5,11.4,54,42,11,0,1,1,1,54.0,41.0,90.0,0.8,54.30132
+68,gamedev,https://github.com/pygame/pygame,1.0,,,pygame/pygame,pygame,5773,2540,156,C,https://www.pygame.org,"pygame: 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.",pygame,2023-03-04,2017-03-26,310,18.62258064516129,"['python', 'pygame', 'sdl2', 'sdl', 'game-development', 'gamedev', 'game-dev']",2023-03-04,276,0,5.31,284,237,72,0,6,14,6,284.0,473.0,90.0,1.7,54.2223
+170,ml,https://github.com/ourownstory/neural_prophet,,,,ourownstory/neural_prophet,neural_prophet,2813,390,50,Python,https://neuralprophet.com,neural_prophet: NeuralProphet: A simple forecasting package,ourownstory,2023-03-04,2020-05-04,147,19.02512077294686,"['forecasting', 'time-series', 'machine-learning', 'fbprophet', 'prophet', 'forecast', 'artificial-intelligence', 'prediction', 'trend', 'seasonality', 'autoregression', 'pytorch', 'timeseries', 'forecasting-algorithm', 'forecasting-model', 'neuralprophet', 'neural', 'neural-network', 'python', 'deep-learning']",2023-03-03,37,2,6.98,226,140,34,0,7,6,7,226.0,284.0,90.0,1.3,54.21108
+5,web,https://github.com/benoitc/gunicorn,,,,benoitc/gunicorn,gunicorn,8801,1631,229,Python,http://www.gunicorn.org,"gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.",benoitc,2023-03-04,2009-11-30,691,12.720834193681602,"['http-server', 'http', 'python', 'wsgi-server', 'wsgi']",2023-01-26,383,7,0.5,97,30,161,1,0,7,7,97.0,107.0,90.0,1.1,54.15006
+199,viz,https://github.com/man-group/dtale,,,,man-group/dtale,dtale,3907,332,68,TypeScript,http://alphatechadmin.pythonanywhere.com,dtale: Visualizer for pandas data structures,man-group,2023-03-04,2019-07-15,189,20.578630549285176,"['python27', 'python3', 'react', 'flask', 'pandas', 'ipython', 'jupyter-notebook', 'react-virtualized', 'data-analysis', 'data-visualization', 'visualization', 'plotly-dash', 'data-science', 'xarray']",2023-03-03,29,2,1.94,43,36,44,0,19,40,19,43.0,89.0,90.0,2.1,54.11533
+443,gis,https://github.com/shapely/shapely,1.0,,,shapely/shapely,shapely,3185,514,86,Python,https://shapely.readthedocs.io/en/stable/,shapely: Manipulation and analysis of geometric objects,shapely,2023-03-04,2011-12-31,583,5.461783439490445,[],2023-02-27,144,6,3.52,148,95,136,0,13,9,13,148.0,566.0,90.0,3.8,54.05828
+760,sim,https://github.com/quantumlib/cirq,,,,quantumlib/cirq,Cirq,3673,834,177,Python,,"Cirq: A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.",quantumlib,2023-03-04,2017-12-14,272,13.482433141059255,"['quantum-circuits', 'nisq', 'quantum-algorithms', 'quantum-computing', 'cirq']",2023-03-03,185,2,12.87,103,58,64,0,5,5,5,103.0,140.0,90.0,1.4,53.94964
+398,web,https://github.com/falconry/falcon,,,,falconry/falcon,falcon,9016,901,267,Python,https://falcon.readthedocs.io/en/stable/,"falcon: The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.",falconry,2023-03-03,2012-12-06,534,16.87035551991446,"['python', 'framework', 'rest', 'microservices', 'web', 'api', 'http', 'wsgi', 'asgi', 'api-rest']",2023-01-18,196,4,1.02,44,16,125,1,8,7,8,44.0,42.0,90.0,1.0,53.69811
+565,gis,https://github.com/gboeing/osmnx,,,,gboeing/osmnx,osmnx,4070,746,121,Python,https://geoffboeing.com/publications/osmnx-complex-street-networks/,"OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.",gboeing,2023-03-03,2016-07-24,345,11.797101449275363,"['openstreetmap', 'gis', 'street-networks', 'overpass-api', 'networkx', 'spatial-analysis', 'geospatial', 'urban-planning', 'transportation', 'geography', 'osmnx', 'networks', 'spatial-data', 'urban', 'osm', 'spatial', 'python', 'transport', 'mapping', 'routing']",2023-02-22,74,4,3.25,48,43,80,0,0,8,8,48.0,98.0,90.0,2.0,53.69292
+680,diffusion,https://github.com/compvis/latent-diffusion,,,,compvis/latent-diffusion,latent-diffusion,6337,852,78,Jupyter Notebook,,latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models,compvis,2023-03-04,2021-12-20,62,100.81590909090909,[],2022-07-26,5,2,0.44,73,16,15,7,0,0,0,73.0,109.0,90.0,1.5,53.66325
+543,data,https://github.com/sqlalchemy/alembic,,,,sqlalchemy/alembic,alembic,1785,180,19,Python,,alembic: A database migrations tool for SQLAlchemy.,sqlalchemy,2023-03-03,2018-11-27,222,8.014753046824888,"['sqlalchemy', 'sql', 'python']",2023-03-01,160,6,1.6,38,31,52,0,8,26,8,38.0,157.0,90.0,4.1,53.50624
+748,data,https://github.com/pytorch/data,,,,pytorch/data,data,922,115,26,Python,,data: A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.,pytorch,2023-03-03,2021-05-12,94,9.749244712990937,[],2023-03-03,68,6,6.52,203,153,22,0,5,8,5,203.0,551.0,90.0,2.7,53.44507
+468,ml,https://github.com/huggingface/optimum,,,,huggingface/optimum,optimum,947,142,41,Python,https://huggingface.co/docs/optimum/,optimum: 🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools,huggingface,2023-03-04,2021-07-20,84,11.178752107925801,"['onnx', 'pytorch', 'inference', 'training', 'intel', 'graphcore', 'onnxruntime', 'transformers', 'quantization', 'habana', 'optimization']",2023-03-04,56,2,8.88,351,275,20,0,19,15,19,351.0,969.0,90.0,2.8,53.26612
+261,time-series,https://github.com/salesforce/merlion,,,,salesforce/merlion,Merlion,2891,247,46,Python,,Merlion: A Machine Learning Framework for Time Series Intelligence,salesforce,2023-03-04,2021-07-28,83,34.593162393162395,"['time-series', 'anomaly-detection', 'forecasting', 'machine-learning', 'benchmarking', 'automl', 'ensemble-learning']",2023-02-15,14,6,0.75,14,12,19,1,12,12,12,14.0,9.0,90.0,0.6,53.14569
+751,study,https://github.com/karpathy/nn-zero-to-hero,,,,karpathy/nn-zero-to-hero,nn-zero-to-hero,7393,685,240,Jupyter Notebook,,nn-zero-to-hero: Neural Networks: Zero to Hero,karpathy,2023-03-04,2022-09-08,25,290.73595505617976,[],2023-01-17,2,0,0.19,16,3,6,2,0,0,0,16.0,3.0,90.0,0.2,53.14241
+157,util,https://github.com/pallets/jinja,,,,pallets/jinja,jinja,9088,1544,250,Python,https://jinja.palletsprojects.com,jinja: A very fast and expressive template engine.,pallets,2023-03-04,2010-10-17,646,14.06811145510836,"['python', 'template-engine', 'jinja', 'jinja2', 'templates', 'pallets']",2023-03-01,304,4,1.29,73,59,151,0,3,4,3,74.0,56.0,90.0,0.8,53.10329
+608,testing,https://github.com/seleniumbase/seleniumbase,,,,seleniumbase/seleniumbase,SeleniumBase,3157,761,122,Python,https://seleniumbase.io,SeleniumBase: A Python browser automation framework for creating reliable end-to-end tests.,seleniumbase,2023-03-04,2014-03-04,469,6.72110705596107,"['python', 'selenium', 'webdriver', 'selenium-python', 'e2e-testing', 'seleniumbase', 'pytest-plugin', 'web-automation', 'pytest', 'behave', 'chrome', 'webkit', 'chromedriver', 'firefox', 'test', 'python3']",2023-03-04,35,5,26.19,163,162,110,0,150,87,150,164.0,248.0,90.0,1.5,53.10082
+181,security,https://github.com/pycqa/bandit,,,,pycqa/bandit,bandit,5002,510,65,Python,https://bandit.readthedocs.io,Bandit is a tool designed to find common security issues in Python code.,pycqa,2023-03-04,2018-04-26,253,19.73731679819617,"['linter', 'bandit', 'security-tools', 'security-scanner', 'security', 'static-code-analysis', 'python']",2023-03-02,163,6,1.25,34,16,59,0,1,8,1,34.0,32.0,90.0,0.9,53.07003
+579,ml,https://github.com/probml/pyprobml,,,,probml/pyprobml,pyprobml,5468,1309,178,Jupyter Notebook,,"pyprobml: Python code for ""Probabilistic Machine learning"" book by Kevin Murphy",probml,2023-03-04,2016-08-17,341,16.00836470096194,"['jupyter-notebooks', 'machine-learning', 'colab', 'pml', 'probabilistic-programming', 'jax', 'tensorflow', 'pytorch', 'pymc3', 'numpyro', 'flax', 'pyro', 'blackjax']",2023-01-20,67,8,9.54,8,6,80,1,1,0,1,8.0,13.0,90.0,1.6,53.02745
+843,time-series,https://github.com/blue-yonder/tsfresh,,,,blue-yonder/tsfresh,tsfresh,7118,1120,158,Jupyter Notebook,http://tsfresh.readthedocs.io,tsfresh: Automatic extraction of relevant features from time series:,blue-yonder,2023-03-04,2016-10-26,331,21.467470917707885,"['data-science', 'feature-extraction', 'time-series']",2023-02-28,85,2,0.48,33,21,77,0,1,5,1,33.0,86.0,90.0,2.6,52.97379
+153,util,https://github.com/marshmallow-code/marshmallow,,,,marshmallow-code/marshmallow,marshmallow,6445,623,81,Python,https://marshmallow.readthedocs.io/,marshmallow: A lightweight library for converting complex objects to and from simple Python datatypes.,marshmallow-code,2023-03-04,2013-11-10,486,13.261316872427983,"['serialization', 'deserialization', 'validation', 'python', 'marshalling', 'python-3', 'serde', 'schema', 'hacktoberfest']",2023-02-21,204,2,2.0,58,44,113,0,0,18,18,58.0,62.0,90.0,1.1,52.89311
+218,ml,https://github.com/spotify/annoy,,,,spotify/annoy,annoy,10849,1078,324,C++,,annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk,spotify,2023-03-04,2013-04-01,517,20.949793103448275,"['c-plus-plus', 'python', 'nearest-neighbor-search', 'locality-sensitive-hashing', 'approximate-nearest-neighbor-search', 'golang', 'lua']",2023-02-25,83,3,0.15,19,9,121,0,1,3,1,19.0,39.0,90.0,2.1,52.85865
+810,nlp,https://github.com/gunthercox/chatterbot,,,,gunthercox/chatterbot,ChatterBot,12973,4247,551,Python,https://chatterbot.readthedocs.io,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots",gunthercox,2023-03-04,2014-09-28,440,29.48409090909091,"['chatterbot', 'machine-learning', 'chatbot', 'python', 'conversation', 'language', 'bot']",2021-06-01,103,5,0.0,25,7,103,21,0,10,10,25.0,30.0,90.0,1.2,52.85545
+313,util,https://github.com/pypa/pipx,,,,pypa/pipx,pipx,6067,280,72,Python,https://pypa.github.io/pipx/,pipx: Install and Run Python Applications in Isolated Environments,pypa,2023-03-04,2018-10-06,230,26.361887026691495,"['pip', 'cli', 'pypi', 'venv', 'hacktoberfest', 'python']",2023-02-11,86,4,0.65,53,25,54,1,1,12,1,53.0,66.0,90.0,1.2,52.8277
+354,ml-interpretability,https://github.com/pytorch/captum,,,,pytorch/captum,captum,3779,404,214,Python,https://captum.ai,captum: Model interpretability and understanding for PyTorch,pytorch,2023-03-04,2019-08-27,183,20.569984447900467,"['interpretability', 'interpretable-ai', 'interpretable-ml', 'feature-importance', 'feature-attribution']",2023-02-03,98,3,1.87,57,31,43,1,1,2,1,57.0,143.0,90.0,2.5,52.79389
+651,profiling,https://github.com/benfred/py-spy,,,,benfred/py-spy,py-spy,9796,347,111,Rust,,py-spy: Sampling profiler for Python programs,benfred,2023-03-04,2018-08-01,239,40.8896839594514,"['profiler', 'python', 'performance-analysis', 'profiling']",2022-12-09,31,3,0.52,27,9,56,3,3,7,3,27.0,21.0,90.0,0.8,52.76701
+868,profiling,https://github.com/reloadware/reloadium,1.0,,,reloadware/reloadium,reloadium,2228,39,24,Python,https://reloadium.io,reloadium: Advanced Hot Reloading & Profiling for Python,reloadware,2023-03-04,2022-01-15,59,37.671497584541065,"['hot-reload', 'hot-reloading', 'python', 'python3', 'edit-and-continue', 'django', 'flask', 'pandas']",2023-02-27,2,2,0.71,37,28,14,0,0,4,4,37.0,87.0,90.0,2.4,52.67768
+309,crypto,https://github.com/crytic/slither,,,,crytic/slither,slither,3873,704,62,Python,https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/,slither: Static Analyzer for Solidity,crytic,2023-03-04,2018-09-05,234,16.510962241169306,"['solidity', 'ethereum', 'static-analysis']",2023-02-25,101,1,8.83,320,167,55,0,4,7,4,320.0,318.0,90.0,1.0,52.66991
+336,ml,https://github.com/apple/coremltools,,,,apple/coremltools,coremltools,3140,488,114,Python,https://coremltools.readme.io,"coremltools: Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",apple,2023-03-04,2017-06-30,296,10.59787849566056,"['coremltools', 'tensorflow', 'pytorch', 'coreml', 'machine-learning', 'model-converter', 'model-conversion']",2023-02-21,145,3,2.1,142,71,69,0,5,6,5,142.0,320.0,90.0,2.3,52.64034
+268,jupyter,https://github.com/jupyterlab/jupyterlab-desktop,,,,jupyterlab/jupyterlab-desktop,jupyterlab-desktop,2616,237,42,TypeScript,,"jupyterlab-desktop: JupyterLab desktop application, based on Electron.",jupyterlab,2023-03-04,2017-05-04,304,8.59314875645237,"['jupyterlab', 'jupyter', 'jupyter-notebook']",2023-02-24,34,5,6.5,128,84,71,0,10,5,10,128.0,247.0,90.0,1.9,52.6354
+15,ml-dl,https://github.com/skorch-dev/skorch,,,,skorch-dev/skorch,skorch,5049,337,82,Jupyter Notebook,,skorch: A scikit-learn compatible neural network library that wraps PyTorch,skorch-dev,2023-03-04,2017-07-18,293,17.190175097276263,"['scikit-learn', 'pytorch', 'machine-learning', 'hacktoberfest']",2023-02-13,54,4,1.02,22,11,68,1,2,3,2,22.0,70.0,90.0,3.2,52.40861
+452,pandas,https://github.com/pandera-dev/pandera,1.0,,,pandera-dev/pandera,pandera,1997,164,14,Python,https://www.union.ai/pandera,"pandera: A light-weight, flexible, and expressive statistical data testing library",pandera-dev,2023-03-03,2018-11-01,226,8.819558359621452,"['pandas', 'validation', 'schema', 'dataframes', 'testing', 'pandas-validation', 'pandas-dataframe', 'data-validation', 'data-cleaning', 'data-check', 'testing-tools', 'assertions', 'data-assertions', 'data-verification', 'dataframe-schema', 'hypothesis-testing', 'pandas-validator', 'data-processing']",2023-02-20,79,7,2.13,69,21,53,0,15,13,15,69.0,146.0,90.0,2.1,52.40515
+548,ml,https://github.com/lightly-ai/lightly,,,,lightly-ai/lightly,lightly,2155,181,23,Python,https://docs.lightly.ai/self-supervised-learning/,lightly: A python library for self-supervised learning on images.,lightly-ai,2023-03-03,2020-10-13,124,17.279495990836196,"['deep-learning', 'self-supervised-learning', 'machine-learning', 'computer-vision', 'pytorch', 'embeddings', 'contrastive-learning', 'active-learning']",2023-03-03,24,2,5.33,140,121,29,0,39,35,39,140.0,155.0,90.0,1.1,52.25232
+759,sim,https://github.com/qiskit/qiskit,,,,qiskit/qiskit,qiskit,2913,778,97,OpenQASM,https://qiskit.org,"Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.",qiskit,2023-03-04,2018-12-12,220,13.20660621761658,"['qiskit', 'quantum-computing', 'quantum-programming-language', 'documentation']",2023-03-02,159,4,1.65,56,33,51,0,17,21,17,56.0,48.0,90.0,0.9,52.22914
+278,data,https://github.com/airbnb/knowledge-repo,,,,airbnb/knowledge-repo,knowledge-repo,5282,710,175,Python,,knowledge-repo: A next-generation curated knowledge sharing platform for data scientists and other technical professions.,airbnb,2023-03-04,2016-08-17,341,15.463822668339606,"['data', 'data-science', 'knowledge', 'data-analysis']",2023-03-01,73,4,9.92,80,72,80,0,3,5,3,80.0,16.0,90.0,0.2,51.99829
+166,sim,https://github.com/bulletphysics/bullet3,,,,bulletphysics/bullet3,bullet3,10303,2668,403,C++,http://bulletphysics.org,"bullet3: Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.",bulletphysics,2023-03-04,2011-04-12,620,16.59861910241657,"['simulation', 'robotics', 'kinematics', 'virtual-reality', 'reinforcement-learning', 'computer-animation', 'game-development', 'simulator', 'pybullet']",2023-02-24,301,2,0.79,49,31,145,0,2,2,2,49.0,56.0,90.0,1.1,51.97774
+148,data,https://github.com/twintproject/twint,,,,twintproject/twint,twint,14458,2490,313,Python,,"twint: An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.",twintproject,2023-03-04,2017-06-10,299,48.33142311365807,"['osint', 'twitter', 'python', 'scrape', 'tweets', 'elasticsearch', 'kibana', 'scrape-followers', 'scrape-likes', 'scrape-following', 'twint', 'tweep']",2021-03-02,65,5,0.0,11,3,70,24,0,4,4,11.0,7.0,90.0,0.6,51.96377
+809,ml-ops,https://github.com/ploomber/ploomber,,,,ploomber/ploomber,ploomber,2983,206,26,Python,https://ploomber.io,"ploomber: The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️",ploomber,2023-03-03,2020-01-20,162,18.316666666666666,"['workflow', 'machine-learning', 'data-science', 'data-engineering', 'mlops', 'papermill', 'jupyter', 'jupyter-notebooks', 'pipelines', 'vscode', 'pycharm', 'notebooks']",2023-01-31,72,1,9.94,44,35,38,1,0,35,35,44.0,60.0,90.0,1.4,51.90947
+223,nlp,https://github.com/kingoflolz/mesh-transformer-jax,1.0,,,kingoflolz/mesh-transformer-jax,mesh-transformer-jax,5398,773,92,Python,,mesh-transformer-jax: Model parallel transformers in JAX and Haiku,kingoflolz,2023-03-04,2021-03-13,103,52.335180055401665,[],2023-01-12,23,3,0.02,18,4,24,2,0,0,0,18.0,31.0,90.0,1.7,51.89002
+438,gis,https://github.com/giswqs/leafmap,,,,giswqs/leafmap,leafmap,1527,190,46,Python,https://leafmap.org,leafmap: A Python package for interactive mapping and geospatial analysis  with minimal coding in a Jupyter environment,giswqs,2023-03-02,2021-03-10,103,14.743448275862068,"['ipyleaflet', 'folium', 'mapping', 'python', 'geopython', 'jupyter-notebook', 'jupyter', 'gis', 'dataviz', 'data-science', 'whiteboxtools', 'geospatial', 'geospatial-analysis', 'leafmap', 'streamlit', 'streamlit-webapp', 'plotly', 'pydeck', 'keplergl']",2023-03-04,20,6,4.33,45,38,24,0,37,36,37,45.0,43.0,90.0,1.0,51.88675
+800,util,https://github.com/open-telemetry/opentelemetry-python,,,,open-telemetry/opentelemetry-python,opentelemetry-python,1201,436,34,Python,https://opentelemetry.io,opentelemetry-python: OpenTelemetry Python API and SDK ,open-telemetry,2023-03-04,2019-05-07,199,6.013590844062947,"['python', 'opentelemetry', 'tracecontext', 'correlationcontext', 'distributed-tracing', 'logging', 'metrics', 'sdk']",2023-03-03,186,7,4.83,200,113,47,0,10,13,10,200.0,348.0,90.0,1.7,51.85585
+99,ml,https://github.com/skvark/opencv-python,,,,skvark/opencv-python,opencv-python,3301,640,81,Shell,https://pypi.org/project/opencv-python/,"opencv-python: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.",skvark,2023-03-03,2016-04-08,360,9.162172878667723,"['opencv', 'python', 'wheel', 'python-3', 'opencv-python', 'opencv-contrib-python', 'precompiled', 'pypi', 'manylinux']",2023-02-22,43,5,0.94,80,50,84,0,7,10,7,80.0,208.0,90.0,2.6,51.78666
+43,data,https://github.com/lk-geimfari/mimesis,,,,lk-geimfari/mimesis,mimesis,3915,308,64,Python,https://mimesis.name,"Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. ",lk-geimfari,2023-03-02,2016-09-09,338,11.573057432432432,"['mimesis', 'fake', 'data', 'generator', 'fixtures', 'dummy', 'json', 'schema', 'testing', 'python', 'json-generator', 'faker', 'mock', 'synthetic-data', 'datascience', 'api-mock']",2023-02-26,113,5,2.81,25,13,79,0,8,8,8,25.0,24.0,90.0,1.0,51.77193
+101,ml,https://github.com/rasbt/mlxtend,,,,rasbt/mlxtend,mlxtend,4286,806,117,Python,http://rasbt.github.io/mlxtend/,mlxtend: A library of extension and helper modules for Python's data analysis and machine learning libraries.,rasbt,2023-03-04,2014-08-14,446,9.60064,"['python', 'machine-learning', 'data-science', 'data-mining', 'association-rules', 'supervised-learning', 'unsupervised-learning']",2023-02-26,93,5,4.54,18,15,104,0,2,3,2,16.0,41.0,90.0,2.6,51.76424
+139,viz,https://github.com/vispy/vispy,,,,vispy/vispy,vispy,3022,607,119,Python,http://vispy.org,vispy: Main repository for Vispy,vispy,2023-03-03,2013-03-21,519,5.8179317931793175,"['hacktoberfest', 'python', 'opengl', 'visualization', 'closember']",2023-01-23,185,8,3.38,37,21,121,1,4,3,4,37.0,145.0,90.0,3.9,51.73934
+546,ml-dl,https://github.com/facebookresearch/mmf,,,,facebookresearch/mmf,mmf,5154,911,117,Python,https://mmf.sh/,mmf: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR),facebookresearch,2023-03-04,2018-06-27,244,21.07359813084112,"['pytorch', 'vqa', 'pretrained-models', 'multimodal', 'deep-learning', 'captioning', 'dialog', 'textvqa', 'hateful-memes', 'multi-tasking']",2023-02-02,109,4,0.83,96,84,57,1,0,1,1,96.0,86.0,90.0,0.9,51.72946
+1011,finance,https://github.com/matplotlib/mplfinance,,,,matplotlib/mplfinance,mplfinance,2620,534,85,Python,https://pypi.org/project/mplfinance/,mplfinance: Financial Markets Data Visualization using Matplotlib,matplotlib,2023-03-04,2019-12-05,169,15.463743676222597,"['ohlc-plot', 'finance', 'matplotlib', 'ohlc', 'ohlcv', 'ohlc-chart', 'candlestick-chart', 'candlestick', 'mplfinance', 'trading-days', 'ohlc-data', 'intraday-data', 'market-data', 'candlestickchart', 'hactoberfest', 'hacktoberfest2022', 'hacktoberfest']",2023-01-26,46,7,1.29,26,20,40,1,4,3,4,26.0,48.0,90.0,1.8,51.71333
+722,util,https://github.com/ashleve/lightning-hydra-template,,,,ashleve/lightning-hydra-template,lightning-hydra-template,2334,401,20,Python,,lightning-hydra-template: PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.  ⚡🔥⚡,ashleve,2023-03-04,2020-11-04,121,19.19858989424207,"['pytorch-lightning', 'wandb', 'project-structure', 'config', 'deep-learning', 'hydra', 'template', 'pytorch', 'reproducibility', 'best-practices', 'neptune', 'mlflow', 'tensorboard', 'comet', 'mlops']",2023-02-11,27,4,2.83,101,76,28,1,4,4,4,101.0,136.0,90.0,1.3,51.7043
+209,web,https://github.com/pywebio/pywebio,,,,pywebio/pywebio,PyWebIO,3718,334,50,Python,https://pywebio.readthedocs.io,PyWebIO: Write interactive web app in script way.,pywebio,2023-03-04,2020-02-29,157,23.66,['pywebio'],2023-02-06,17,3,1.58,34,13,37,1,0,9,9,34.0,40.0,90.0,1.2,51.69608
+242,ml,https://github.com/deepmind/deepmind-research,,,,deepmind/deepmind-research,deepmind-research,11494,2359,329,Jupyter Notebook,,deepmind-research: This repository contains implementations and illustrative code to accompany DeepMind publications,deepmind,2023-03-04,2019-01-15,215,53.28344370860927,[],2023-01-31,91,1,0.63,22,4,50,1,0,0,0,22.0,16.0,90.0,0.7,51.68083
+69,util,https://github.com/pygithub/pygithub,,,,pygithub/pygithub,PyGithub,5830,1595,112,Python,https://pygithub.readthedocs.io/,PyGithub: Typed interactions with the GitHub API v3,pygithub,2023-03-04,2012-02-25,575,10.136612021857923,"['pygithub', 'python', 'github', 'github-api']",2023-02-23,296,3,0.54,123,42,134,0,3,9,3,123.0,246.0,90.0,2.0,51.63731
+27,typing,https://github.com/google/pytype,,,,google/pytype,pytype,4128,267,56,Python,https://google.github.io/pytype,pytype: A static type analyzer for Python code,google,2023-03-03,2015-03-18,415,9.933310415950498,"['python', 'typing', 'typechecker', 'linter', 'types', 'static-analysis', 'static-code-analysis']",2023-03-03,89,2,11.73,73,63,97,0,0,21,21,73.0,72.0,90.0,1.0,51.5118
+570,util,https://github.com/jd/tenacity,1.0,,,jd/tenacity,tenacity,4520,225,44,Python,http://tenacity.readthedocs.io,tenacity: Retrying library for Python,jd,2023-03-04,2016-08-11,342,13.199833124739257,"['python', 'failure', 'retry', 'retry-library', 'hacktoberfest']",2023-02-28,79,3,0.42,38,28,80,0,0,9,9,38.0,56.0,90.0,1.5,51.43178
+902,util,https://github.com/pypi/warehouse,,,,pypi/warehouse,warehouse,3157,908,105,Python,https://pypi.org,warehouse: The Python Package Index,pypi,2023-03-04,2013-03-30,518,6.092914254204577,[],2023-03-03,332,7,9.27,634,547,121,0,0,0,0,634.0,821.0,90.0,1.3,51.38911
+131,ml,https://github.com/automl/auto-sklearn,,,,automl/auto-sklearn,auto-sklearn,6772,1213,213,Python,https://automl.github.io/auto-sklearn,auto-sklearn: Automated Machine Learning with scikit-learn,automl,2023-03-04,2015-07-02,400,16.911880128433822,"['automl', 'scikit-learn', 'automated-machine-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'hyperparameter-search', 'bayesian-optimization', 'metalearning', 'meta-learning', 'smac']",2022-12-07,88,7,1.98,36,15,93,3,2,5,2,36.0,37.0,90.0,1.0,51.32342
+904,ml,https://github.com/rucaibox/recbole,,,,rucaibox/recbole,RecBole,2491,459,39,Python,https://recbole.io/,"RecBole: A unified, comprehensive and efficient recommendation library",rucaibox,2023-03-04,2020-06-11,142,17.489468405215646,"['recommender-systems', 'collaborative-filtering', 'knowledge-graph', 'ctr-prediction', 'deep-learning', 'pytorch', 'graph-neural-networks', 'sequential-recommendation', 'recommendations', 'recommendation-system', 'recommender']",2023-03-02,59,2,8.75,519,472,33,0,2,3,2,519.0,217.0,90.0,0.4,51.31954
+807,web,https://github.com/fastapi-users/fastapi-users,,,,fastapi-users/fastapi-users,fastapi-users,2520,250,34,Python,https://fastapi-users.github.io/fastapi-users/,fastapi-users: Ready-to-use and customizable users management for FastAPI,fastapi-users,2023-03-04,2019-10-05,178,14.145950280673617,"['python', 'starlette', 'fastapi', 'async', 'asyncio', 'users', 'fastapi-users']",2023-02-14,54,6,2.33,10,8,42,1,22,27,22,10.0,15.0,90.0,1.5,51.31569
+317,gamedev,https://github.com/pyglet/pyglet,,,,pyglet/pyglet,pyglet,1417,252,32,Python,http://pyglet.org,"pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.",pyglet,2023-03-04,2019-06-09,195,7.266666666666667,"['pyglet', 'python', 'opengl', 'gamedev', 'scientific-visualization']",2023-03-03,143,3,7.85,82,55,45,0,9,15,9,82.0,203.0,90.0,2.5,51.24127
+604,jupyter,https://github.com/connorferster/handcalcs,,,,connorferster/handcalcs,handcalcs,5140,398,78,CSS,,handcalcs: Python library for converting Python calculations into rendered latex.,connorferster,2023-03-04,2020-02-19,158,32.414414414414416,[],2022-12-27,11,5,1.08,17,7,37,2,3,3,3,17.0,13.0,90.0,0.8,51.10566
+746,study,https://github.com/zhanymkanov/fastapi-best-practices,,,,zhanymkanov/fastapi-best-practices,fastapi-best-practices,2721,198,52,,,fastapi-best-practices: FastAPI Best Practices and Conventions we used @ hi.peerlink.me,zhanymkanov,2023-03-04,2022-08-09,29,91.57211538461539,"['fastapi', 'best-practices']",2023-01-09,4,1,0.87,9,6,7,2,0,0,0,9.0,15.0,90.0,1.7,51.04426
+842,time-series,https://github.com/tdameritrade/stumpy,,,,tdameritrade/stumpy,stumpy,2562,248,53,Python,https://stumpy.readthedocs.io/en/latest/,STUMPY is a powerful and scalable Python library for modern time series analysis,tdameritrade,2023-03-04,2019-05-03,200,12.79172610556348,"['data-science', 'time-series-analysis', 'dask', 'numba', 'python', 'anomaly-detection', 'pattern-matching', 'pydata', 'matrix-profile', 'motif-discovery', 'time-series-segmentation', 'time-series-data-mining']",2023-02-16,32,3,2.35,36,20,47,0,2,7,2,37.0,136.0,90.0,3.7,51.0294
+279,jupyter,https://github.com/nteract/papermill,,,,nteract/papermill,papermill,5130,388,91,Python,http://papermill.readthedocs.io/en/latest/,"papermill: 📚 Parameterize, execute, and analyze notebooks",nteract,2023-03-03,2017-07-06,295,17.36460348162476,"['jupyter', 'notebooks', 'notebook-generator', 'nteract', 'publishing', 'pipeline', 'notebook', 'python', 'r', 'julia', 'scala']",2022-10-18,108,6,0.58,17,2,69,5,0,14,14,17.0,22.0,90.0,1.3,50.93886
+132,ml,https://github.com/epistasislab/tpot,,,,epistasislab/tpot,tpot,8968,1517,293,Python,http://epistasislab.github.io/tpot/,tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,epistasislab,2023-03-04,2015-11-03,382,23.43262411347518,"['machine-learning', 'python', 'data-science', 'automl', 'automation', 'scikit-learn', 'hyperparameter-optimization', 'model-selection', 'parameter-tuning', 'automated-machine-learning', 'random-forest', 'gradient-boosting', 'feature-engineering', 'aiml', 'alzheimer', 'alzheimers', 'nia', 'u01ag066833', 'ag066833', 'adsp']",2022-07-29,112,7,0.35,18,2,89,7,0,4,4,18.0,13.0,90.0,0.7,50.84345
+707,pandas,https://github.com/nalepae/pandarallel,1.0,,,nalepae/pandarallel,pandarallel,2907,176,27,Python,https://nalepae.github.io/pandarallel,pandarallel: A simple and efficient tool to parallelize Pandas operations on all available CPUs,nalepae,2023-03-03,2019-03-10,208,13.975961538461538,"['pandas', 'python', 'parallel']",2023-02-12,25,7,0.77,27,18,48,1,6,10,6,27.0,48.0,90.0,1.8,50.79214
+919,profiling,https://github.com/pyutils/line_profiler,,,,pyutils/line_profiler,line_profiler,1684,97,16,Cython,,line_profiler: Line-by-line profiling for Python,pyutils,2023-03-04,2019-12-10,168,9.981371718882302,[],2023-03-04,39,4,1.54,22,11,39,0,6,6,6,22.0,90.0,90.0,4.1,50.76131
+192,template,https://github.com/tiangolo/full-stack-fastapi-postgresql,,,,tiangolo/full-stack-fastapi-postgresql,full-stack-fastapi-postgresql,11263,2054,187,Python,,"full-stack-fastapi-postgresql: Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.",tiangolo,2023-03-04,2019-02-23,210,53.59687287559483,"['python', 'python3', 'json', 'json-schema', 'docker', 'postgresql', 'frontend', 'backend', 'fastapi', 'traefik', 'letsencrypt', 'swagger', 'celery', 'jwt', 'vue', 'vuex', 'cookiecutter', 'openapi', 'openapi3', 'pgadmin']",2020-06-05,17,5,0.0,32,11,49,33,0,1,1,32.0,31.0,90.0,1.0,50.68791
+325,security,https://github.com/trailofbits/pip-audit,,,,trailofbits/pip-audit,pip-audit,758,49,20,Python,https://pypi.org/project/pip-audit/,pip-audit: Audits Python environments and dependency trees for known vulnerabilities,trailofbits,2023-03-03,2021-09-02,78,9.664845173041895,"['security', 'security-audit', 'python', 'pip', 'supply-chain']",2023-02-24,20,6,4.17,112,96,18,0,25,30,25,112.0,214.0,90.0,1.9,50.68071
+186,ml,https://github.com/harisiqbal88/plotneuralnet,,,,harisiqbal88/plotneuralnet,PlotNeuralNet,18929,2579,223,TeX,,PlotNeuralNet: Latex code for making neural networks diagrams,harisiqbal88,2023-03-04,2018-07-24,240,78.63679525222553,"['latex', 'deep-neural-networks']",2020-11-06,13,6,0.0,6,2,56,28,0,0,0,6.0,3.0,90.0,0.5,50.66304
+628,gis,https://github.com/pytroll/satpy,,,,pytroll/satpy,satpy,897,261,31,Python,http://satpy.readthedocs.org/en/latest/,satpy: Python package for earth-observing satellite data processing,pytroll,2023-03-03,2016-02-09,368,2.432777993025959,"['python', 'satellite', 'weather', 'hacktoberfest', 'dask', 'xarray', 'closember']",2023-02-21,136,7,22.25,157,109,86,0,7,11,7,157.0,636.0,90.0,4.1,50.62117
+428,util,https://github.com/pycqa/flake8,,,,pycqa/flake8,flake8,2665,274,34,Python,https://flake8.pycqa.org,"flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.",pycqa,2023-03-04,2014-09-13,442,6.0274636510500805,"['python', 'python3', 'static-analysis', 'static-code-analysis', 'linter', 'linter-flake8', 'stylelint', 'styleguide', 'style-guide', 'flake8', 'pep8', 'complexity-analysis']",2023-02-21,172,6,1.73,53,49,103,0,0,10,10,53.0,92.0,90.0,1.7,50.60329
+287,gis,https://github.com/geopandas/geopandas,1.0,,,geopandas/geopandas,geopandas,3568,794,106,Python,http://geopandas.org/,geopandas: Python tools for geographic data,geopandas,2023-03-04,2013-06-27,505,7.059355568117581,[],2023-03-04,190,3,2.98,233,158,118,0,5,3,5,233.0,358.0,90.0,1.5,50.53238
+378,ml-interpretability,https://github.com/oegedijk/explainerdashboard,,,,oegedijk/explainerdashboard,explainerdashboard,1588,208,18,Python,http://explainerdashboard.readthedocs.io,"explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called ""blackbox"" machine learning models.",oegedijk,2023-03-01,2019-10-30,174,9.09656301145663,"['dash', 'shap-values', 'dashboard', 'model-predictions', 'data-scientists', 'explainer', 'interactive-dashboards', 'permutation-importances', 'shap', 'plotly', 'inner-workings', 'interactive-plots', 'xai-library', 'xai']",2023-02-18,19,6,1.56,27,23,41,0,7,23,7,27.0,88.0,90.0,3.3,50.46338
+804,web,https://github.com/python-restx/flask-restx,,,,python-restx/flask-restx,flask-restx,1762,294,70,Python,https://flask-restx.readthedocs.io/en/latest/,"flask-restx: Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask",python-restx,2023-03-02,2020-01-09,164,10.715899218071243,"['python', 'api', 'swagger', 'flask', 'rest', 'json', 'restful', 'restplus', 'restx']",2023-03-04,141,6,0.81,52,24,38,0,3,4,3,52.0,92.0,90.0,1.8,50.45315
+369,nlp,https://github.com/bytedance/lightseq,,,,bytedance/lightseq,lightseq,2602,297,53,C++,,LightSeq: A High Performance Library for Sequence Processing and Generation,bytedance,2023-03-04,2019-12-06,169,15.370464135021097,"['inference', 'transformer', 'beam-search', 'bert', 'cuda', 'sampling', 'diverse-decoding', 'multilingual-nmt', 'training', 'bart', 'gpt', 'accelerate']",2023-03-03,16,8,1.29,58,38,39,0,3,4,3,58.0,44.0,90.0,0.8,50.42746
+91,ml,https://github.com/uber/causalml,,,,uber/causalml,causalml,3819,613,78,Python,,causalml: Uplift modeling and causal inference with machine learning algorithms,uber,2023-03-01,2019-07-09,190,20.024719101123594,"['incubation', 'machine-learning', 'causal-inference', 'uplift-modeling']",2023-02-03,49,5,0.85,19,8,44,1,2,3,2,19.0,25.0,90.0,1.3,50.36122
+641,util,https://github.com/theskumar/python-dotenv,,,,theskumar/python-dotenv,python-dotenv,5716,358,33,Python,https://saurabh-kumar.com/python-dotenv/,python-dotenv: Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.,theskumar,2023-03-04,2014-09-06,443,12.898774983881367,"['python', 'devops-tools', 'dotenv', '12-factor-app', 'configuration', 'env', 'environment-variables']",2023-02-24,89,5,0.87,26,17,103,0,3,5,3,26.0,24.0,90.0,0.9,50.35192
+144,nlp,https://github.com/openai/gpt-2,,,,openai/gpt-2,gpt-2,17453,4391,601,Python,https://openai.com/blog/better-language-models/,"gpt-2: Code for the paper ""Language Models are Unsupervised Multitask Learners""",openai,2023-03-04,2019-02-11,211,82.38098449089684,['paper'],2020-12-02,16,2,0.0,10,2,49,27,0,0,0,10.0,13.0,90.0,1.3,50.29606
+636,perf,https://github.com/dask/distributed,,,,dask/distributed,distributed,1444,677,58,Python,https://distributed.dask.org,distributed: A distributed task scheduler for Dask,dask,2023-03-04,2015-09-13,390,3.7025641025641027,"['pydata', 'dask', 'distributed-computing', 'python', 'hacktoberfest']",2023-03-04,308,2,15.08,318,187,91,0,0,26,26,318.0,888.0,90.0,2.8,50.16518
+1004,finance,https://github.com/ta-lib/ta-lib-python,,,,ta-lib/ta-lib-python,ta-lib-python,7519,1472,319,Cython,http://ta-lib.github.io/ta-lib-python,ta-lib-python: Python wrapper for TA-Lib (http://ta-lib.org/).,ta-lib,2023-03-05,2012-03-23,571,13.161540385096274,"['ta-lib', 'pattern-recognition', 'python', 'technical-analysis', 'finance', 'quantitative-finance']",2023-02-28,25,2,0.79,32,18,133,0,0,2,2,32.0,102.0,90.0,3.2,50.14341
+513,util,https://github.com/agronholm/apscheduler,,,,agronholm/apscheduler,apscheduler,4869,618,122,Python,,apscheduler: Task scheduling library for Python,agronholm,2023-03-04,2016-03-27,362,13.450276243093922,[],2023-02-07,38,3,2.63,26,15,84,1,0,8,8,26.0,36.0,90.0,1.4,50.08952
+224,sim,https://github.com/google/brax,,,,google/brax,brax,1552,162,37,Jupyter Notebook,,brax: Massively parallel rigidbody physics simulation on accelerator hardware.,google,2023-03-03,2021-06-02,91,16.94851794071763,"['jax', 'reinforcement-learning', 'robotics', 'physics-simulation']",2023-02-09,27,5,0.37,46,31,21,1,8,9,8,46.0,70.0,90.0,1.5,50.08327
+351,ml,https://github.com/jina-ai/finetuner,,,,jina-ai/finetuner,finetuner,954,48,24,Python,https://finetuner.jina.ai,finetuner: :dart: Task-oriented finetuning for better embeddings on neural search,jina-ai,2023-03-03,2021-08-11,81,11.695271453590193,"['fine-tuning', 'pretrained-models', 'few-shot-learning', 'negative-sampling', 'metric-learning', 'siamese-network', 'triplet-loss', 'transfer-learning', 'jina', 'neural-search', 'finetuning', 'similarity-learning']",2023-03-02,32,2,4.33,66,62,19,0,13,22,13,66.0,157.0,90.0,2.4,50.06569
+977,ml,https://github.com/google/vizier,,,,google/vizier,vizier,967,45,20,Python,https://oss-vizier.readthedocs.io,"vizier: Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.",google,2023-03-04,2022-02-16,54,17.719895287958114,"['vizier', 'hyperparameter-optimization', 'tuning', 'tuning-parameters', 'blackbox-optimization', 'hyperparameter-tuning', 'bayesian-optimization', 'evolutionary-algorithms', 'distributed-systems', 'distributed-computing', 'grpc', 'open-source', 'google', 'algorithm', 'deep-learning', 'machine-learning', 'optimization']",2023-03-01,15,3,8.83,191,177,13,0,20,20,20,191.0,42.0,90.0,0.2,50.03996
+653,util,https://github.com/magicstack/uvloop,,,,magicstack/uvloop,uvloop,9199,535,226,Cython,,uvloop: Ultra fast asyncio event loop.,magicstack,2023-03-03,2015-11-08,382,24.081151832460733,"['asyncio', 'async-await', 'async', 'high-performance', 'libuv', 'python', 'python-3', 'event-loop', 'networking', 'async-python']",2023-01-15,56,3,0.6,16,4,89,2,1,11,1,16.0,23.0,90.0,1.4,49.99294
+509,ml,https://github.com/tensorflow/addons,,,,tensorflow/addons,addons,1613,599,58,Python,,addons: Useful extra functionality for TensorFlow 2.x maintained by SIG-addons,tensorflow,2023-03-01,2018-11-26,222,7.237820512820512,"['machine-learning', 'deep-learning', 'tensorflow', 'neural-network', 'tensorflow-addons', 'python']",2023-03-01,204,7,1.04,227,212,52,0,4,8,4,227.0,253.0,90.0,1.1,49.92761
+1023,util,https://github.com/wireservice/csvkit,,,,wireservice/csvkit,csvkit,5388,583,132,Python,http://csvkit.rtfd.org/,"csvkit: A suite of utilities for converting to and working with CSV, the king of tabular file formats.",wireservice,2023-03-04,2011-04-01,622,8.658402203856749,[],2023-02-22,105,9,0.6,19,13,145,0,0,2,2,19.0,28.0,90.0,1.5,49.79208
+298,finance,https://github.com/blankly-finance/blankly,,,,blankly-finance/blankly,blankly,1474,194,28,Python,https://package.blankly.finance,"blankly: 🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.",blankly-finance,2023-03-03,2021-03-09,103,14.212121212121213,"['cryptocurrency', 'bot-framework', 'investment', 'bots', 'bot', 'coinbase', 'binance', 'blankly', 'stocks', 'platform', 'framework', 'trading', 'trading-bot', 'trading-strategies', 'python', 'crypto', 'algotrading']",2023-02-02,16,5,7.13,19,10,24,1,2,14,2,19.0,51.0,90.0,2.7,49.68375
+421,ml,https://github.com/facebookresearch/reagent,,,,facebookresearch/reagent,ReAgent,3352,508,150,Python,https://reagent.ai,"ReAgent: A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)",facebookresearch,2023-03-04,2017-07-27,292,11.462628236443576,[],2023-02-28,152,5,1.94,18,12,68,0,0,0,0,18.0,41.0,90.0,2.3,49.66643
+1006,finance,https://github.com/quantopian/zipline,,,,quantopian/zipline,zipline,15851,4541,1008,Python,https://www.zipline.io,"Zipline, a Pythonic Algorithmic Trading Library",quantopian,2023-03-05,2012-10-19,541,29.283979941937186,"['quant', 'python', 'algorithmic-trading', 'zipline']",2020-10-14,155,5,0.0,5,2,126,29,0,3,3,5.0,5.0,90.0,1.0,49.58453
+426,study,https://github.com/fchollet/deep-learning-with-python-notebooks,,,,fchollet/deep-learning-with-python-notebooks,deep-learning-with-python-notebooks,16498,8043,642,Jupyter Notebook,,"deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book ""Deep Learning with Python""",fchollet,2023-03-04,2017-09-05,286,57.54160438465371,[],2023-02-13,9,1,0.1,10,5,67,1,0,0,0,10.0,7.0,90.0,0.7,49.57896
+455,ml-dl,https://github.com/tensorlayer/tensorlayer,,,,tensorlayer/tensorlayer,TensorLayer,7154,1617,466,Python,http://tensorlayerx.com,TensorLayer: Deep Learning and Reinforcement Learning Library for Scientists and Engineers ,tensorlayer,2023-03-03,2016-06-07,351,20.340373679935013,"['tensorlayer', 'deep-learning', 'tensorflow', 'neural-network', 'reinforcement-learning', 'artificial-intelligence', 'gan', 'a3c', 'tensorflow-tutorials', 'dqn', 'object-detection', 'chatbot', 'python', 'tensorflow-tutorial', 'imagenet', 'google']",2023-02-18,132,6,0.06,0,0,82,0,0,12,12,0.0,0.0,90.0,0.0,49.57761
+776,study,https://github.com/nielsrogge/transformers-tutorials,,,,nielsrogge/transformers-tutorials,Transformers-Tutorials,3834,607,86,Jupyter Notebook,,Transformers-Tutorials: This repository contains demos I made with the Transformers library by HuggingFace.,nielsrogge,2023-03-04,2020-08-31,130,29.299126637554586,"['transformers', 'pytorch', 'bert', 'vision-transformer', 'layoutlm', 'gpt-2']",2023-02-28,5,2,2.69,56,13,30,0,0,0,0,56.0,92.0,90.0,1.6,49.53079
+694,ml-dl,https://github.com/deepmind/dm-haiku,,,,deepmind/dm-haiku,dm-haiku,2385,199,39,Python,https://dm-haiku.readthedocs.io,dm-haiku: JAX-based neural network library,deepmind,2023-03-04,2020-02-18,158,15.027002700270026,"['machine-learning', 'neural-networks', 'jax', 'deep-learning', 'deep-neural-networks']",2023-03-03,71,4,2.62,46,37,37,0,3,4,3,46.0,25.0,90.0,0.5,49.3691
+888,util,https://github.com/xl0/lovely-tensors,,,,xl0/lovely-tensors,lovely-tensors,923,14,8,Jupyter Notebook,https://xl0.github.io/lovely-tensors,"lovely-tensors: Tensors, ready for human consumption",xl0,2023-02-28,2022-10-07,21,43.36241610738255,"['deep-learning', 'library', 'pytorch', 'statistics', 'visualization']",2023-01-27,1,0,1.88,8,7,5,1,0,41,41,8.0,33.0,90.0,4.1,49.32604
+910,util,https://github.com/methexis-inc/terminal-copilot,,,,methexis-inc/terminal-copilot,terminal-copilot,448,25,6,Python,,terminal-copilot: A smart terminal assistant that helps you find the right command.,methexis-inc,2023-03-03,2022-12-11,12,37.333333333333336,[],2023-01-25,8,3,1.42,39,25,3,1,1,4,1,39.0,71.0,90.0,1.8,49.2771
+787,study,https://github.com/wesm/pydata-book,,,,wesm/pydata-book,pydata-book,18959,14016,1470,Jupyter Notebook,,"pydata-book: Materials and IPython notebooks for ""Python for Data Analysis"" by Wes McKinney, published by O'Reilly Media",wesm,2023-03-04,2012-06-30,557,34.02897435897436,[],2022-11-03,9,5,0.13,3,3,130,4,0,0,0,3.0,4.0,90.0,1.3,49.22779
+511,ml,https://github.com/google/automl,,,,google/automl,automl,5594,1418,157,Jupyter Notebook,,automl: Google Brain AutoML,google,2023-03-04,2020-03-12,155,35.99080882352941,"['automl', 'efficientdet', 'object-detection', 'efficientnet', 'efficientnetv2']",2023-02-15,40,3,0.4,15,6,36,1,0,1,1,15.0,5.0,90.0,0.3,49.22473
+321,gui,https://github.com/r0x0r/pywebview,,,,r0x0r/pywebview,pywebview,3400,442,58,Python,https://pywebview.flowrl.com,"pywebview: Build GUI for your Python program with JavaScript, HTML, and CSS",r0x0r,2023-03-04,2014-11-20,432,7.862570201519657,"['python', 'webkit', 'gtk', 'linux', 'windows', 'gui', 'osx', 'cocoa', 'html', 'javascript', 'qt', 'cef']",2023-02-28,102,1,2.63,85,62,101,0,8,6,8,85.0,209.0,90.0,2.5,49.1267
+129,viz,https://github.com/holoviz/holoviews,,,,holoviz/holoviews,holoviews,2388,373,61,Python,https://holoviews.org,"holoviews: With Holoviews, your data visualizes itself.",holoviz,2023-03-04,2014-05-07,460,5.184863523573201,"['holoviz', 'holoviews', 'plotting']",2023-03-03,133,5,3.23,176,87,107,0,6,41,6,176.0,258.0,90.0,1.5,49.09965
+264,data,https://github.com/collerek/ormar,,,,collerek/ormar,ormar,1264,62,15,Python,https://collerek.github.io/ormar/,ormar: python async orm with fastapi in mind and pydantic validation,collerek,2023-03-04,2020-08-02,135,9.362962962962962,"['orm', 'sqlalchemy', 'async-orm', 'python-orm', 'fastapi', 'pydantic', 'alembic', 'databases']",2023-02-28,30,6,4.9,79,58,31,0,6,30,6,79.0,82.0,90.0,1.0,49.07831
+715,data,https://github.com/jazzband/tablib,,,,jazzband/tablib,tablib,4233,573,141,Python,https://tablib.readthedocs.io/,"tablib: Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.",jazzband,2023-03-04,2011-03-28,622,6.796100917431192,[],2023-03-03,120,7,0.35,20,15,145,0,2,4,2,20.0,54.0,90.0,2.7,49.00379
+1030,finance,https://github.com/google/tf-quant-finance,,,,google/tf-quant-finance,tf-quant-finance,3655,490,169,Python,,tf-quant-finance: High-performance TensorFlow library for quantitative finance.,google,2023-03-04,2019-07-24,188,19.382575757575758,"['tensorflow', 'quantitative-finance', 'python', 'finance', 'numerical-methods', 'numerical-optimization', 'numerical-integration', 'high-performance', 'high-performance-computing', 'gpu', 'gpu-computing', 'quantlib']",2023-02-17,45,2,1.79,12,4,44,0,0,1,1,12.0,20.0,90.0,1.7,48.87744
+718,math,https://github.com/facebookresearch/theseus,,,,facebookresearch/theseus,theseus,1226,85,29,Python,,theseus: A library for differentiable nonlinear optimization,facebookresearch,2023-03-04,2021-11-18,67,18.18220338983051,"['differentiable-optimization', 'robotics', 'embodied-ai', 'nonlinear-least-squares', 'pytorch', 'deep-learning', 'computer-vision', 'gauss-newton', 'levenberg-marquardt', 'implicit-differentiation', 'bilevel-optimization']",2023-02-27,19,3,4.15,97,77,16,0,5,6,5,97.0,41.0,90.0,0.4,48.86802
+318,gamedev,https://github.com/pythonarcade/arcade,1.0,,,pythonarcade/arcade,arcade,1404,264,57,Python,http://arcade.academy,arcade: Easy to use Python library for creating 2D arcade games.,pythonarcade,2023-03-04,2016-01-04,373,3.7554451662208637,"['python3', 'python', 'arcade-framework', 'arcade-api', 'arcade-learning-environment', 'opengl', 'educational-technology', 'educational-resources']",2023-03-04,137,5,15.71,262,208,87,0,0,18,18,262.0,268.0,90.0,1.0,48.82152
+766,ml-dl,https://github.com/fepegar/torchio,,,,fepegar/torchio,torchio,1649,203,17,Python,http://www.torchio.org,torchio: Medical imaging toolkit for deep learning,fepegar,2023-03-03,2019-11-26,170,9.659414225941422,"['pytorch', 'medical-image-computing', 'deep-learning', 'data-augmentation', 'medical-images', 'machine-learning', 'python', 'medical-image-processing', 'medical-image-analysis', 'medical-imaging-datasets', 'medical-imaging-with-deep-learning', 'augmentation']",2023-03-01,42,3,2.48,36,25,40,0,0,78,78,43.0,73.0,90.0,1.7,48.81077
+650,profiling,https://github.com/joerick/pyinstrument,,,,joerick/pyinstrument,pyinstrument,5144,220,55,Python,https://pyinstrument.readthedocs.io/,pyinstrument: 🚴 Call stack profiler for Python. Shows you why your code is slow!,joerick,2023-03-04,2014-03-13,468,10.981396767307105,"['python', 'django', 'profiler', 'performance', 'profile', 'async']",2022-12-27,47,7,1.92,10,4,109,2,0,6,6,10.0,12.0,90.0,1.2,48.77758
+441,gis,https://github.com/rasterio/rasterio,1.0,,,rasterio/rasterio,rasterio,1889,508,151,Python,https://rasterio.readthedocs.io/,Rasterio reads and writes geospatial raster datasets,rasterio,2023-03-04,2013-11-04,486,3.879988262910798,"['python', 'gis', 'raster', 'gdal', 'cli', 'cython', 'mapbox-satellite-oss']",2023-02-27,142,5,3.75,187,116,114,0,11,18,11,187.0,325.0,90.0,1.7,48.75998
+506,ml-ops,https://github.com/adap/flower,,,,adap/flower,flower,2061,449,23,Python,https://flower.dev,Flower: A Friendly Federated Learning Framework,adap,2023-03-04,2020-02-17,158,12.973920863309353,"['flower', 'federated-learning', 'federated-learning-framework', 'pytorch-federated-learning', 'tensorflow-federated-learning', 'keras-federated-learning', 'federated-analytics', 'fleet-learning', 'fleet-intelligence', 'deep-learning', 'machine-learning', 'pytorch', 'scikit-learn', 'tensorflow']",2023-03-01,54,2,6.6,204,172,37,0,5,5,5,204.0,64.0,90.0,0.3,48.67066
+634,util,https://github.com/pygments/pygments,,,,pygments/pygments,pygments,1212,507,31,Python,http://pygments.org/,Pygments is a generic syntax highlighter written in Python,pygments,2023-03-04,2019-08-31,183,6.617784711388455,"['python', 'syntax-highlighting']",2023-03-03,768,3,5.81,179,116,43,0,3,16,3,179.0,186.0,90.0,1.0,48.59146
+681,util,https://github.com/spotify/basic-pitch,,,,spotify/basic-pitch,basic-pitch,1651,95,32,Python,https://basicpitch.io,basic-pitch: A lightweight yet powerful audio-to-MIDI converter with pitch bend detection,spotify,2023-03-03,2022-05-03,43,37.76797385620915,"['lightweight', 'machine-learning', 'midi', 'music', 'pitch-detection', 'polyphonic', 'transcription', 'audio', 'python', 'typescript']",2023-02-27,12,4,0.87,26,11,10,0,0,0,0,26.0,14.0,90.0,0.5,48.57747
+366,ml,https://github.com/facebookresearch/vissl,,,,facebookresearch/vissl,vissl,2968,312,52,Jupyter Notebook,https://vissl.ai,"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",facebookresearch,2023-03-04,2020-04-09,151,19.6,[],2022-12-28,34,6,0.92,14,2,35,2,0,1,1,14.0,22.0,90.0,1.6,48.46319
+213,data,https://github.com/facebookresearch/augly,,,,facebookresearch/augly,AugLy,4671,275,62,Python,https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/,"AugLy: A data augmentations library for audio, image, text, and video.",facebookresearch,2023-03-02,2021-06-09,90,51.572555205047315,[],2022-12-05,26,5,0.9,2,0,21,3,1,4,1,2.0,0.0,90.0,0.0,48.45609
+353,ml-interpretability,https://github.com/seldonio/alibi,,,,seldonio/alibi,alibi,1949,221,42,Python,https://docs.seldon.io/projects/alibi/en/stable/,alibi: Algorithms for explaining machine learning models,seldonio,2023-03-04,2019-02-26,209,9.293596730245232,"['machine-learning', 'explanations', 'interpretability', 'counterfactual', 'xai']",2023-03-01,18,4,3.73,67,48,49,0,4,7,4,67.0,116.0,90.0,1.7,48.39344
+559,jupyter,https://github.com/vizzuhq/ipyvizzu,,,,vizzuhq/ipyvizzu,ipyvizzu,762,60,16,Python,https://ipyvizzu.vizzuhq.com,ipyvizzu: Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.,vizzuhq,2023-03-04,2022-01-05,60,12.580188679245284,"['jupyter', 'jupyter-notebook', 'python', 'plotting', 'graphs', 'data-visualization', 'graphing', 'ipython', 'chart', 'charts', 'dataviz', 'animation', 'storytelling', 'charting', 'vizzu']",2023-03-01,10,5,11.44,17,11,14,0,14,17,14,17.0,15.0,90.0,0.9,48.39082
+673,ml-dl,https://github.com/saharmor/dalle-playground,,,,saharmor/dalle-playground,dalle-playground,2587,565,28,JavaScript,,dalle-playground: A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini),saharmor,2023-03-04,2021-09-13,76,33.65985130111524,"['dall-e', 'openai', 'gan', 'text-to-image', 'transformers', 'artificial', 'artificial-intelligence', 'machine-learning', 'dalle', 'dalle-mini', 'stable-diffusion']",2023-02-19,10,3,2.21,7,2,18,0,0,0,0,7.0,7.0,90.0,1.0,48.38225
+531,ml-dl,https://github.com/neuralmagic/sparseml,,,,neuralmagic/sparseml,sparseml,1519,116,40,Python,,"sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models",neuralmagic,2023-03-03,2020-12-11,116,13.062653562653562,"['pytorch', 'keras', 'model-sparsification', 'sparsification-recipes', 'tensorflow', 'smaller-models', 'deep-learning-library', 'deep-learning-algorithms', 'deep-learning-models', 'automl', 'pruning-algorithms', 'sparsity', 'sparsification', 'recipe-driven-approaches', 'pruning', 'computer-vision-algorithms', 'object-detection', 'image-classification', 'nlp', 'onnx']",2023-03-04,40,1,8.54,244,214,27,0,13,13,13,244.0,99.0,90.0,0.4,48.34731
+625,data,https://github.com/zarr-developers/zarr-python,,,,zarr-developers/zarr-python,zarr-python,1093,217,45,Python,http://zarr.readthedocs.io/,"zarr-python: An implementation of chunked, compressed, N-dimensional arrays for Python.",zarr-developers,2023-03-03,2015-12-15,376,2.901403109594236,"['hacktoberfest', 'zarr', 'ndimensional-arrays', 'compressed', 'python']",2023-02-23,84,8,3.65,107,71,88,0,18,11,18,107.0,304.0,90.0,2.8,48.29007
+215,debug,https://github.com/gruns/icecream,,,,gruns/icecream,icecream,6618,137,50,Python,,icecream: 🍦 Never use print() to debug again.,gruns,2023-03-04,2018-02-13,263,25.09534127843987,"['python', 'python3', 'library', 'inspects', 'debug', 'debugging', 'debugging-tool', 'print']",2022-12-04,21,6,0.62,12,2,61,3,1,1,1,12.0,8.0,90.0,0.7,48.15813
+948,web,https://github.com/bottlepy/bottle,,,,bottlepy/bottle,bottle,7910,1446,312,Python,http://bottlepy.org/,bottle.py is a fast and simple micro-framework for python web-applications.,bottlepy,2023-03-04,2009-06-30,713,11.082866293034428,"['python', 'wsgi', 'rest', 'web-framework', 'bottle']",2022-09-05,227,7,0.27,16,7,166,6,0,6,6,16.0,16.0,90.0,1.0,48.14656
+661,util,https://github.com/zeromq/pyzmq,,,,zeromq/pyzmq,pyzmq,3284,616,102,Python,http://zguide.zeromq.org/py:all,PyZMQ:  Python bindings for zeromq,zeromq,2023-03-03,2010-07-21,658,4.986550976138829,"['cython', 'python', 'zeromq']",2023-02-23,189,5,3.35,38,27,154,0,0,6,6,38.0,58.0,90.0,1.5,48.14545
+115,perf,https://github.com/h5py/h5py,,,,h5py/h5py,h5py,1833,491,55,Python,http://www.h5py.org,h5py: HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,h5py,2023-03-03,2012-09-21,545,3.361540476814252,[],2023-03-04,192,6,4.12,105,79,127,0,2,4,2,105.0,340.0,90.0,3.2,48.14442
+762,ml-dl,https://github.com/xpixelgroup/basicsr,,,,xpixelgroup/basicsr,BasicSR,4434,899,88,Python,https://basicsr.readthedocs.io/en/latest/,"BasicSR: Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.",xpixelgroup,2023-03-04,2018-04-19,254,17.427288040426728,"['basicsr', 'esrgan', 'edsr', 'rcan', 'edvr', 'srresnet', 'srgan', 'super-resolution', 'restoration', 'pytorch', 'stylegan2', 'dfdnet', 'basicvsr', 'swinir', 'ecbsr']",2023-02-02,19,6,1.02,24,4,59,1,3,7,3,24.0,15.0,90.0,0.6,48.09553
+544,ml,https://github.com/aleju/imgaug,,,,aleju/imgaug,imgaug,13340,2362,231,Python,http://imgaug.readthedocs.io,imgaug: Image augmentation for machine learning experiments.,aleju,2023-03-04,2015-07-10,399,33.409660107334524,"['image-augmentation', 'machine-learning', 'augmentation', 'deep-learning', 'images', 'affine-transformation', 'polygon', 'heatmap', 'segmentation-maps', 'keypoints', 'bounding-boxes', 'augment-images', 'crop', 'contrast']",2020-06-01,36,5,0.0,10,3,93,34,0,2,2,10.0,9.0,90.0,0.9,48.07194
+304,nlp,https://github.com/featureform/embeddinghub,,,,featureform/embeddinghub,featureform,1214,46,13,Go,https://www.featureform.com,featureform: The Virtual Feature Store. Turn your existing data infrastructure into a feature store.,featureform,2023-03-04,2020-10-16,124,9.767816091954023,"['machine-learning', 'data-science', 'vector-database', 'embeddings-similarity', 'embeddings', 'hacktoberfest', 'feature-store', 'mlops', 'data-quality', 'feature-engineering', 'ml', 'python']",2023-03-04,21,1,44.81,113,99,29,0,13,7,13,113.0,94.0,90.0,0.8,48.04536
+1031,finance,https://github.com/kernc/backtesting.py,,,,kernc/backtesting.py,backtesting.py,3336,665,94,Python,https://kernc.github.io/backtesting.py/,backtesting.py: :mag_right: :chart_with_upwards_trend: :snake: :moneybag:  Backtest trading strategies in Python.,kernc,2023-03-05,2019-01-02,217,15.332895600787918,"['trading', 'trading-strategies', 'trading-algorithms', 'trading-simulator', 'backtesting', 'backtesting-trading-strategies', 'backtesting-engine', 'backtesting-frameworks', 'investment', 'investing', 'investment-strategies', 'forex', 'forex-trading', 'stocks', 'algorithmic-trading', 'framework', 'financial-markets', 'hacktoberfest', 'algo-trading', 'finance']",2023-01-15,19,4,0.56,71,44,51,2,0,4,4,71.0,84.0,90.0,1.2,48.03595
+979,ml,https://github.com/googlecloudplatform/vertex-ai-samples,,,,googlecloudplatform/vertex-ai-samples,vertex-ai-samples,614,417,37,Jupyter Notebook,https://cloud.google.com/vertex-ai,"vertex-ai-samples: Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud",googlecloudplatform,2023-03-04,2021-05-27,92,6.642967542503864,"['samples', 'gcp', 'google-cloud-platform', 'vertex-ai', 'notebook', 'python', 'ai', 'ml', 'data-science', 'mlops']",2023-03-03,102,5,23.94,289,261,22,0,0,0,0,289.0,493.0,90.0,1.7,48.00884
+291,pandas,https://github.com/stitchfix/hamilton,,,,stitchfix/hamilton,hamilton,889,44,18,Python,https://www.github.com/dagworks-inc/hamilton,hamilton: A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton,stitchfix,2023-03-04,2020-05-26,144,6.143139190523199,"['python', 'pandas', 'dag', 'data-science', 'data-engineering', 'numpy', 'software-engineering', 'etl-framework', 'etl-pipeline', 'etl', 'feature-engineering', 'featurization', 'dataframe', 'stitch-fix', 'data-platform', 'hamilton', 'hamiltonian', 'machine-learning']",2023-02-26,19,5,6.23,136,128,34,0,16,7,16,136.0,219.0,90.0,1.6,48.00061
+476,gis,https://github.com/holoviz/datashader,1.0,,,holoviz/datashader,datashader,2932,364,95,Python,http://datashader.org,datashader: Quickly and accurately render even the largest data.,holoviz,2023-03-03,2015-12-23,375,7.806770635222518,"['holoviz', 'datashader', 'data-visualizations', 'rasterization']",2023-02-27,53,4,1.9,50,36,88,0,5,14,5,50.0,66.0,90.0,1.3,47.89917
+769,data,https://github.com/google/tensorstore,,,,google/tensorstore,tensorstore,1100,83,33,C++,https://google.github.io/tensorstore/,tensorstore: Library for reading and writing large multi-dimensional arrays.,google,2023-03-02,2020-03-30,152,7.196261682242991,[],2023-03-03,10,2,5.92,24,11,36,0,0,11,11,24.0,120.0,90.0,5.0,47.89754
+198,ml,https://github.com/maif/shapash,,,,maif/shapash,shapash,2123,260,38,Jupyter Notebook,https://maif.github.io/shapash/,shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone,maif,2023-03-04,2020-04-29,148,14.289423076923077,"['python', 'machine-learning', 'explainability', 'explainable-ml', 'transparency', 'ethical-artificial-intelligence', 'shap', 'lime', 'interpretability']",2023-03-03,35,2,5.1,30,27,35,0,10,9,10,30.0,9.0,90.0,0.3,47.80614
+894,viz,https://github.com/has2k1/plotnine,,,,has2k1/plotnine,plotnine,3377,194,67,Python,https://plotnine.readthedocs.io/en/stable/,plotnine: A grammar of graphics for Python,has2k1,2023-03-04,2017-04-24,305,11.041102288650164,"['plotting', 'grammar', 'graphics', 'python', 'data-analysis']",2023-02-01,99,3,2.96,30,8,71,1,3,2,3,30.0,41.0,90.0,1.4,47.8056
+201,util,https://github.com/camelot-dev/camelot,,,,camelot-dev/camelot,camelot,1850,340,47,Python,https://camelot-py.readthedocs.io,camelot: A Python library to extract tabular data from PDFs,camelot-dev,2023-03-03,2019-07-01,191,9.64259121370067,[],2023-02-26,39,5,0.1,31,5,45,0,0,7,7,31.0,60.0,90.0,1.9,47.76394
+941,ml,https://github.com/thudm/cogvideo,,,,thudm/cogvideo,CogVideo,2489,237,89,Python,,"Text-to-video generation. The repo for ICLR2023 paper ""CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers""",thudm,2023-03-04,2022-05-29,40,62.225,[],2022-11-17,4,2,0.38,8,2,9,4,0,0,0,8.0,13.0,90.0,1.6,47.72937
+110,ml-interpretability,https://github.com/marcotcr/lime,,,,marcotcr/lime,lime,10476,1716,270,JavaScript,,Lime: Explaining the predictions of any machine learning classifier,marcotcr,2023-03-04,2016-03-15,363,28.802827965435977,[],2021-07-29,62,4,0.0,16,3,85,19,0,3,3,16.0,10.0,90.0,0.6,47.57871
+869,pandas,https://github.com/eventual-inc/daft,,,,eventual-inc/daft,Daft,470,18,6,Python,,Daft: The Python DataFrame for Complex Data,eventual-inc,2023-03-01,2022-04-25,44,10.477707006369426,"['image-processing', 'machine-learning', 'python', 'data-engineering', 'data-science', 'dataframe', 'deep-learning', 'distributed-computing']",2023-03-04,6,4,12.75,284,252,10,0,0,28,28,284.0,168.0,90.0,0.6,47.5216
+250,web,https://github.com/websocket-client/websocket-client,,,,websocket-client/websocket-client,websocket-client,3173,732,90,Python,https://github.com/websocket-client/websocket-client,websocket-client: WebSocket client for Python,websocket-client,2023-03-04,2010-12-28,635,4.99123595505618,"['websocket', 'websockets', 'websocket-client', 'websockets-client', 'python', 'rfc-6455']",2023-03-01,208,4,0.77,37,30,148,0,7,6,7,37.0,74.0,90.0,2.0,47.50858
+155,data,https://github.com/s0md3v/photon,,,,s0md3v/photon,Photon,9433,1380,326,Python,,Photon: Incredibly fast crawler designed for OSINT.,s0md3v,2023-03-04,2018-03-30,257,36.6635202665186,"['crawler', 'spider', 'python', 'osint', 'information-gathering']",2022-12-20,21,2,0.04,3,0,60,2,0,4,4,3.0,1.0,90.0,0.3,47.42063
+106,ml,https://github.com/nicolashug/surprise,,,,nicolashug/surprise,Surprise,5705,968,147,Python,http://surpriselib.com,Surprise: A Python scikit for building and analyzing recommender systems,nicolashug,2023-03-03,2016-10-23,332,17.183734939759034,"['recommender', 'systems', 'recommendation', 'svd', 'matrix', 'factorization', 'machine-learning']",2023-01-27,45,3,0.54,23,9,77,1,0,2,2,23.0,18.0,90.0,0.8,47.39527
+195,sim,https://github.com/pettingzoo-team/pettingzoo,,,,pettingzoo-team/pettingzoo,PettingZoo,1687,274,19,Python,https://pettingzoo.farama.org,"PettingZoo: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities",pettingzoo-team,2023-03-03,2020-01-20,162,10.358771929824561,"['api', 'gym', 'gymnasium', 'multi-agent-reinforcement-learning', 'reinforcement-learning']",2023-03-04,83,1,7.58,37,21,38,0,12,11,12,37.0,36.0,90.0,1.0,47.36717
+282,util,https://github.com/arrow-py/arrow,,,,arrow-py/arrow,arrow,8236,639,134,Python,https://arrow.readthedocs.io,arrow: 🏹 Better dates & times for Python,arrow-py,2023-03-04,2012-11-18,537,15.33705772811918,"['python', 'arrow', 'datetime', 'date', 'time', 'timestamp', 'timezones', 'hacktoberfest']",2022-11-15,268,3,0.5,7,0,125,4,0,5,5,7.0,6.0,90.0,0.9,47.35792
+58,gamedev,https://github.com/panda3d/panda3d,,,,panda3d/panda3d,panda3d,3745,755,195,C++,https://www.panda3d.org/,"panda3d: Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU",panda3d,2023-03-04,2013-09-30,491,7.613999419111241,"['game-engine', 'open-source', 'panda3d', 'cross-platform', 'python', 'panda3d-game-engine', 'game-development', 'opengl', 'multi-platform', 'gamedev', 'c-plus-plus']",2023-02-26,160,1,8.54,160,80,115,0,2,2,2,160.0,198.0,90.0,1.2,47.32526
+98,data,https://github.com/zoomeranalytics/xlwings,,,,zoomeranalytics/xlwings,xlwings,2534,455,119,Python,https://www.xlwings.org,xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web. ,zoomeranalytics,2023-03-02,2014-03-17,467,5.41618320610687,"['python', 'excel', 'reporting', 'automation', 'googlesheets', 'google-sheets']",2023-03-02,57,2,4.13,126,100,109,0,29,16,29,126.0,205.0,90.0,1.6,47.23673
+962,ml-dl,https://github.com/danielegrattarola/spektral,,,,danielegrattarola/spektral,spektral,2235,332,43,Python,https://graphneural.network,spektral: Graph Neural Networks with Keras and Tensorflow 2.,danielegrattarola,2023-03-03,2019-01-17,215,10.374668435013263,"['graph-neural-networks', 'keras', 'python', 'tensorflow', 'tensorflow2', 'graph-deep-learning', 'deep-learning']",2023-02-11,26,5,1.13,17,7,50,1,2,1,2,17.0,48.0,90.0,2.8,47.12219
+622,util,https://github.com/more-itertools/more-itertools,,,,more-itertools/more-itertools,more-itertools,2960,241,36,Python,https://more-itertools.rtfd.io,"more-itertools: More routines for operating on iterables, beyond itertools",more-itertools,2023-03-03,2012-04-26,566,5.2257250945775535,[],2023-03-03,97,4,1.63,38,18,132,0,5,4,5,38.0,85.0,90.0,2.2,47.09369
+858,jupyter,https://github.com/jupyter/nbconvert,,,,jupyter/nbconvert,nbconvert,1451,512,51,Python,https://nbconvert.readthedocs.io/,nbconvert: Jupyter Notebook Conversion,jupyter,2023-03-03,2015-04-09,412,3.518184967093869,[],2023-02-20,256,7,3.0,71,24,96,0,21,9,21,71.0,86.0,90.0,1.2,47.08591
+925,util,https://github.com/p0dalirius/coercer,,,,p0dalirius/coercer,Coercer,1118,122,18,Python,https://podalirius.net/,Coercer: A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.,p0dalirius,2023-03-04,2022-06-30,35,31.556451612903224,"['authentication', 'automatic', 'call', 'coerce', 'privilege-escalation', 'rpc', 'ntlm', 'fuzzing']",2023-01-18,4,2,1.5,12,8,8,2,9,14,9,12.0,11.0,90.0,0.9,46.99812
+130,ml-dl,https://github.com/explosion/thinc,,,,explosion/thinc,thinc,2673,270,82,Python,https://thinc.ai,"thinc: 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries",explosion,2023-03-03,2014-10-16,437,6.110711952971914,"['machine-learning', 'deep-learning', 'artificial-intelligence', 'ai', 'python', 'nlp', 'natural-language-processing', 'spacy', 'machine-learning-library', 'type-checking', 'functional-programming', 'pytorch', 'tensorflow', 'mxnet', 'jax']",2023-03-03,61,4,3.31,57,53,102,0,14,11,14,57.0,38.0,90.0,0.7,46.98947
+969,ml,https://github.com/openai/baselines,,,,openai/baselines,baselines,13822,4533,615,Python,,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms,openai,2023-03-04,2017-05-24,301,45.83325438180957,[],2020-01-31,115,3,0.0,11,4,70,38,0,0,0,11.0,6.0,90.0,0.5,46.98828
+35,data,https://github.com/jmcnamara/xlsxwriter,,,,jmcnamara/xlsxwriter,XlsxWriter,3169,594,121,Python,https://xlsxwriter.readthedocs.io,XlsxWriter: A Python module for creating Excel XLSX files.,jmcnamara,2023-03-04,2013-01-04,530,5.976023706896552,"['python', 'xlsx-files', 'libxlsxwriter', 'pandas', 'charts', 'spreadsheet', 'xlsx', 'xlsxwriter']",2023-03-01,47,2,1.1,48,39,124,0,0,15,15,48.0,115.0,90.0,2.4,46.98586
+696,util,https://github.com/joblib/joblib,,,,joblib/joblib,joblib,3071,367,61,Python,http://joblib.readthedocs.org,joblib: Computing with Python functions.,joblib,2023-03-04,2010-05-07,669,4.588473852721451,"['python', 'parallel-computing', 'caching', 'multiprocessing', 'threading', 'memoization']",2023-02-21,118,6,0.83,63,35,156,0,0,6,6,63.0,101.0,90.0,1.6,46.97562
+344,data,https://github.com/scikit-hep/awkward-1.0,,,,scikit-hep/awkward-1.0,awkward,651,68,17,Python,https://awkward-array.org,awkward: Manipulate JSON-like data with NumPy-like idioms.,scikit-hep,2023-03-03,2019-08-14,185,3.508083140877598,"['json', 'numpy', 'data-analysis', 'jagged-array', 'ragged-array', 'columnar-format', 'pandas', 'numba', 'apache-arrow', 'cern-root', 'scikit-hep', 'python']",2023-03-03,36,4,11.5,374,335,43,0,41,62,41,374.0,764.0,90.0,2.0,46.93948
+212,data,https://github.com/sfu-db/connector-x,1.0,,,sfu-db/connector-x,connector-x,1122,79,26,Rust,https://sfu-db.github.io/connector-x/intro.html,connector-x: Fastest library to load data from DB to DataFrames in Rust and Python,sfu-db,2023-03-04,2021-01-13,111,10.056338028169014,"['rust', 'python', 'database', 'sql', 'dataframe']",2023-02-28,30,4,5.4,55,10,26,0,3,3,3,55.0,74.0,90.0,1.3,46.9246
+474,nlp,https://github.com/neuralmagic/deepsparse,,,,neuralmagic/deepsparse,deepsparse,1297,81,40,Python,,deepsparse: Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application,neuralmagic,2023-03-04,2020-12-14,115,11.19482120838471,"['ml', 'machinelearning', 'pytorch', 'tensorflow', 'onnx', 'deepsparse-engine', 'sparsified-models', 'sparsification-recipe', 'inference', 'computer-vision', 'object-detection', 'pruning', 'quantization', 'pretrained-models', 'nlp', 'auto-ml', 'cpus', 'yolov3', 'sparsification', 'cpu-inference-api']",2023-03-02,31,1,7.46,156,141,27,0,14,14,14,156.0,98.0,90.0,0.6,46.90716
+886,gis,https://github.com/osgeo/grass,,,,osgeo/grass,grass,596,223,43,C,https://grass.osgeo.org,GRASS GIS - free and open source Geographic Information System (GIS),osgeo,2023-03-04,2019-05-17,198,3.005763688760807,"['osgeo', 'grass-gis', 'geospatial', 'geospatial-analysis', 'raster', 'vector', 'timeseries-analysis', 'earth-observation', 'gis', 'hacktoberfest', 'open-science', 'remote-sensing', 'science', 'spatial']",2023-03-02,96,6,6.96,431,207,46,0,10,36,10,431.0,691.0,90.0,1.6,46.87904
+67,web,https://github.com/pyeve/eve,,,,pyeve/eve,eve,6586,754,229,Python,https://python-eve.org,eve: REST API framework designed for human beings,pyeve,2023-03-04,2012-10-22,540,12.176967776016903,"['python', 'rest', 'flask', 'mongodb']",2022-11-10,211,5,0.73,6,2,126,4,0,5,5,6.0,4.0,90.0,0.7,46.87467
+802,util,https://github.com/miguelgrinberg/python-socketio,,,,miguelgrinberg/python-socketio,python-socketio,3253,526,63,Python,,python-socketio: Python Socket.IO server and client,miguelgrinberg,2023-03-04,2015-07-15,398,8.161648745519713,"['socket-io', 'socketio', 'socketio-server', 'websocket', 'long-polling', 'low-latency', 'web-server', 'python', 'asyncio', 'eventlet', 'gevent']",2023-02-16,61,3,1.13,27,23,93,1,0,11,11,27.0,37.0,90.0,1.4,46.82159
+873,study,https://github.com/rasbt/machine-learning-book,,,,rasbt/machine-learning-book,machine-learning-book,1628,613,31,Jupyter Notebook,https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn,machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn,rasbt,2023-03-03,2021-12-19,63,25.841269841269842,"['machine-learning', 'scikit-learn', 'deep-learning', 'neural-networks', 'pytorch']",2023-02-02,11,3,1.71,13,6,15,1,0,2,2,13.0,11.0,90.0,0.8,46.73735
+361,ml-ops,https://github.com/polyaxon/polyaxon,,,,polyaxon/polyaxon,polyaxon,3265,319,78,,https://polyaxon.com,polyaxon: MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle,polyaxon,2023-03-04,2016-12-26,322,10.11283185840708,"['deep-learning', 'machine-learning', 'artificial-intelligence', 'data-science', 'reinforcement-learning', 'kubernetes', 'tensorflow', 'pytorch', 'keras', 'mxnet', 'caffe', 'ml', 'k8s', 'jupyter', 'notebook', 'jupyterlab', 'pipelines', 'workflow', 'mlops', 'hyperparameter-optimization']",2023-03-03,98,3,4.77,11,1,75,0,0,24,24,11.0,3.0,90.0,0.3,46.72193
+24,ml,https://github.com/google/dopamine,,,,google/dopamine,dopamine,10026,1343,442,Jupyter Notebook,https://github.com/google/dopamine,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. ,google,2023-03-02,2018-07-26,240,41.70053475935829,"['rl', 'ml', 'ai', 'google', 'tensorflow']",2023-02-27,15,3,0.42,0,0,56,0,0,0,0,0.0,0.0,90.0,0.0,46.66932
+795,ml-interpretability,https://github.com/selfexplainml/piml-toolbox,,,,selfexplainml/piml-toolbox,PiML-Toolbox,550,61,15,Jupyter Notebook,https://selfexplainml.github.io/PiML-Toolbox,PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and model validation,selfexplainml,2023-03-04,2022-04-29,44,12.419354838709678,"['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics']",2023-03-01,6,2,4.33,11,8,10,0,15,19,15,11.0,32.0,90.0,2.9,46.61499
+764,diffusion,https://github.com/divamgupta/stable-diffusion-tensorflow,,,,divamgupta/stable-diffusion-tensorflow,stable-diffusion-tensorflow,1382,193,21,Python,,stable-diffusion-tensorflow: Stable Diffusion in TensorFlow / Keras,divamgupta,2023-03-03,2022-09-15,24,56.57309941520468,[],2022-11-22,13,1,1.79,12,1,6,3,0,0,0,12.0,15.0,90.0,1.2,46.60789
+614,testing,https://github.com/spulec/freezegun,,,,spulec/freezegun,freezegun,3594,249,31,Python,,freezegun: Let your Python tests travel through time,spulec,2023-03-03,2012-12-11,533,6.733940042826553,[],2023-02-22,110,7,0.54,28,14,124,0,0,5,5,28.0,18.0,90.0,0.6,46.57018
+423,util,https://github.com/tebelorg/rpa-python,,,,tebelorg/rpa-python,RPA-Python,3663,541,101,Python,,RPA-Python: Python package for doing RPA,tebelorg,2023-03-04,2019-03-30,205,17.855849582172702,"['rpa', 'python', 'opencv', 'tesseract', 'tagui', 'sikuli', 'cross-platform']",2022-09-07,3,1,1.12,22,19,48,0,3,12,3,22.0,44.0,90.0,2.0,46.55792
+301,data,https://github.com/kaggle/kaggle-api,,,,kaggle/kaggle-api,kaggle-api,5190,984,192,Python,,kaggle-api: Official Kaggle API,kaggle,2023-03-03,2018-01-25,266,19.4798927613941,[],2023-03-01,37,3,0.04,40,29,62,0,0,0,0,40.0,20.0,90.0,0.5,46.55332
+283,util,https://github.com/sdispater/pendulum,,,,sdispater/pendulum,pendulum,5357,322,63,Python,https://pendulum.eustace.io,pendulum: Python datetimes made easy,sdispater,2023-03-03,2016-06-27,348,15.355855855855856,"['python', 'datetime', 'date', 'time', 'python3', 'timezones']",2023-02-25,88,2,0.83,27,7,81,0,1,8,1,27.0,17.0,90.0,0.6,46.48861
+961,gis,https://github.com/azavea/raster-vision,,,,azavea/raster-vision,raster-vision,1799,351,83,Python,https://docs.rastervision.io,raster-vision: An open source library and framework for deep learning on satellite and aerial imagery.,azavea,2023-03-04,2017-02-02,317,5.667416741674168,"['deep-learning', 'computer-vision', 'remote-sensing', 'geospatial', 'object-detection', 'semantic-segmentation', 'classification', 'machine-learning', 'pytorch']",2023-02-27,30,5,8.35,155,125,74,0,3,3,3,155.0,132.0,90.0,0.9,46.45529
+706,ml,https://github.com/mljar/mljar-supervised,,,,mljar/mljar-supervised,mljar-supervised,2489,326,43,Python,https://mljar.com,"mljar-supervised: Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation",mljar,2023-03-03,2018-11-05,225,11.020240354206198,"['automl', 'machine-learning', 'automatic-machine-learning', 'mljar', 'data-science', 'scikit-learn', 'hyperparameter-optimization', 'feature-engineering', 'xgboost', 'random-forest', 'neural-network', 'lightgbm', 'catboost', 'ensemble', 'tuning-algorithm', 'models-tuning', 'hyper-parameters', 'decision-tree', 'shap', 'automated-machine-learning']",2022-12-30,20,5,0.23,25,13,53,2,3,11,3,25.0,60.0,90.0,2.4,46.41794
+196,viz,https://github.com/lux-org/lux,,,,lux-org/lux,lux,4456,344,86,Python,,lux: Automatically visualize your pandas dataframe via a single print! 📊 💡,lux-org,2023-03-04,2020-01-08,164,27.07638888888889,"['visualization-tools', 'jupyter', 'python', 'data-science', 'exploratory-data-analysis', 'visualization', 'pandas']",2022-05-21,20,4,0.12,5,0,38,10,0,4,4,5.0,6.0,90.0,1.2,46.329
+138,ml-interpretability,https://github.com/pair-code/lit,1.0,,,pair-code/lit,lit,3082,327,70,TypeScript,https://pair-code.github.io/lit,lit: The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.,pair-code,2023-03-03,2020-07-28,135,22.709473684210526,"['machine-learning', 'natural-language-processing', 'visualization']",2022-12-02,27,2,6.21,71,56,32,3,1,3,1,71.0,13.0,90.0,0.2,46.29117
+380,data,https://github.com/alirezamika/autoscraper,,,,alirezamika/autoscraper,autoscraper,4975,525,125,Python,,"autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python",alirezamika,2023-03-04,2020-08-31,130,38.01855895196506,"['scraping', 'scraper', 'scrape', 'webscraping', 'crawler', 'web-scraping', 'ai', 'artificial-intelligence', 'python', 'webautomation', 'automation', 'machine-learning']",2022-07-17,8,2,0.04,5,5,30,8,1,6,1,5.0,8.0,90.0,1.6,46.25812
+736,perf,https://github.com/zerointensity/pointers.py,,,,zerointensity/pointers.py,pointers.py,802,11,4,Python,https://pointers.zintensity.dev/,pointers.py: Bringing the hell of pointers to Python.,zerointensity,2023-02-20,2022-03-09,51,15.551246537396121,"['python', 'pointers', 'python-pointers']",2023-02-14,8,2,3.48,3,2,12,1,8,8,8,3.0,9.0,90.0,3.0,46.18383
+93,web,https://github.com/unbit/uwsgi,,,,unbit/uwsgi,uwsgi,3261,671,113,C,http://projects.unbit.it/uwsgi,uWSGI application server container,unbit,2023-03-03,2011-10-09,595,5.480672268907563,[],2023-01-10,352,6,0.46,26,7,139,2,0,11,11,26.0,30.0,90.0,1.2,46.0657
+13,ml,https://github.com/districtdatalabs/yellowbrick,,,,districtdatalabs/yellowbrick,yellowbrick,3927,543,101,Python,http://www.scikit-yb.org/,yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection.,districtdatalabs,2023-03-02,2016-05-18,354,11.075342465753424,"['machine-learning', 'visual-analysis', 'model-selection', 'visualization', 'scikit-learn', 'visualizer', 'matplotlib', 'python', 'estimator', 'anaconda']",2023-02-27,111,2,0.5,13,8,83,0,1,4,1,13.0,22.0,90.0,1.7,46.06243
+540,nlp,https://github.com/salesforce/codegen,,,,salesforce/codegen,CodeGen,2316,176,43,Python,,CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.,salesforce,2023-03-04,2022-03-28,48,47.40350877192982,"['programsynthesis', 'generativemodel', 'codex', 'languagemodel', 'llm', 'tpu-acceleration']",2022-12-01,7,1,0.83,8,2,11,3,0,0,0,8.0,14.0,90.0,1.8,46.02422
+900,util,https://github.com/ossf/criticality_score,,,,ossf/criticality_score,criticality_score,1180,89,30,Go,,criticality_score: Gives criticality score for an open source project,ossf,2023-03-04,2020-11-17,119,9.856801909307876,[],2023-02-28,19,4,2.5,89,56,28,0,4,4,4,89.0,75.0,90.0,0.8,45.92689
+172,viz,https://github.com/facebookresearch/hiplot,,,,facebookresearch/hiplot,hiplot,2429,124,29,TypeScript,https://facebookresearch.github.io/hiplot/,HiPlot makes understanding high dimensional data easy,facebookresearch,2023-03-04,2019-11-08,173,14.017312448474856,[],2023-03-03,8,2,0.29,6,2,40,0,0,12,12,6.0,11.0,90.0,1.8,45.91838
+451,util,https://github.com/imageio/imageio,,,,imageio/imageio,imageio,1204,244,32,Python,https://imageio.readthedocs.io,imageio: Python library for reading and writing image data,imageio,2023-03-03,2013-05-04,513,2.346325167037862,"['python', 'imageio', 'animated-gif', 'video', 'webcam-capture', 'scientific-formats', 'dicom']",2023-03-03,97,7,2.15,51,32,120,0,23,7,23,51.0,134.0,90.0,2.6,45.78521
+435,data,https://github.com/sdv-dev/sdv,,,,sdv-dev/sdv,SDV,1302,208,40,Python,https://sdv.dev/SDV,"SDV: Synthetic Data Generation for tabular, relational and time series data.",sdv-dev,2023-03-04,2018-05-11,251,5.181353041500853,"['synthetic-data', 'machine-learning', 'relational-datasets', 'multi-table', 'time-series', 'synthetic-data-generation', 'sdv', 'data-generation', 'generative-adversarial-network', 'gan', 'gans', 'deep-learning', 'generative-ai', 'generative-model']",2023-01-24,41,6,2.75,203,158,59,1,8,9,8,202.0,201.0,90.0,1.0,45.761
+46,jupyter,https://github.com/maartenbreddels/ipyvolume,,,,maartenbreddels/ipyvolume,ipyvolume,1830,236,51,TypeScript,,ipyvolume: 3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL,maartenbreddels,2023-03-03,2016-12-21,323,5.655629139072848,"['ipython-widget', 'jupyter', 'jupyter-notebook', 'python', 'visualisation', 'volume-rendering', 'virtual-reality', 'plotting', 'dataviz', 'scientific-visualization', 'webgl', 'threejs', 'rendering-3d-volumes', 'quiver']",2023-02-25,45,6,0.37,19,10,75,0,0,8,8,19.0,33.0,90.0,1.7,45.65304
+735,ml-ops,https://github.com/skops-dev/skops,,,,skops-dev/skops,skops,269,42,9,Python,https://skops.readthedocs.io/en/stable/,skops is a Python library helping you share your scikit-learn based models and put them in production,skops-dev,2023-03-03,2022-05-04,43,6.173770491803278,"['huggingface', 'machine-learning', 'mlops', 'scikit-learn', 'hacktoberfest']",2023-03-03,14,4,3.12,98,67,10,0,6,7,6,98.0,342.0,90.0,3.5,45.53782
+801,util,https://github.com/open-telemetry/opentelemetry-python-contrib,,,,open-telemetry/opentelemetry-python-contrib,opentelemetry-python-contrib,412,320,14,Python,https://opentelemetry.io,opentelemetry-python-contrib: OpenTelemetry instrumentation for Python modules,open-telemetry,2023-03-03,2019-11-08,173,2.37757625721352,[],2023-02-28,187,7,6.21,318,181,40,0,10,11,10,318.0,406.0,90.0,1.3,45.50927
+308,util,https://github.com/legrandin/pycryptodome,,,,legrandin/pycryptodome,pycryptodome,2274,420,59,C,https://www.pycryptodome.org,pycryptodome: A self-contained cryptographic library for Python,legrandin,2023-03-04,2014-05-02,461,4.929699597398575,"['cryptography', 'security', 'python']",2023-01-28,134,5,2.27,74,55,108,1,4,12,4,74.0,89.0,90.0,1.2,45.42071
+797,web,https://github.com/pallets/quart,,,,pallets/quart,quart,1646,100,26,Python,https://quart.palletsprojects.com,quart: An async Python micro framework for building web applications. ,pallets,2023-03-03,2017-11-10,277,5.936115404430706,"['asyncio', 'python', 'http-server', 'asgi', 'quart']",2023-02-12,84,5,1.94,18,12,65,1,0,10,10,18.0,24.0,90.0,1.3,45.39125
+265,util,https://github.com/pytransitions/transitions,,,,pytransitions/transitions,transitions,4779,511,91,Python,,"transitions: A lightweight, object-oriented finite state machine implementation in Python with many extensions",pytransitions,2023-03-04,2014-10-12,438,10.91095890410959,"['python', 'state-machine', 'nested-states', 'hierarchical-state-machine', 'state-diagram']",2023-01-06,75,5,0.6,6,3,102,2,1,5,1,6.0,9.0,90.0,1.5,45.38095
+816,ml,https://github.com/automl/tabpfn,,,,automl/tabpfn,TabPFN,701,49,16,Python,https://arxiv.org/abs/2207.01848,TabPFN: Official implementation of the TabPFN and the tabpfn package.,automl,2023-03-04,2022-07-01,35,19.866396761133604,[],2023-03-02,6,2,2.37,12,9,8,0,0,0,0,12.0,36.0,90.0,3.0,45.37233
+439,perf,https://github.com/mher/flower,,,,mher/flower,flower,5581,1001,143,Python,https://flower.readthedocs.io,flower: Real-time monitor and web admin for Celery distributed task queue,mher,2023-03-02,2012-07-08,556,10.037769784172662,"['celery', 'task-queue', 'monitoring', 'administration', 'workers', 'rabbitmq', 'redis', 'python', 'asynchronous']",2022-11-14,196,5,0.27,27,4,130,4,0,2,2,27.0,27.0,90.0,1.0,45.35848
+272,data,https://github.com/praw-dev/praw,,,,praw-dev/praw,praw,3012,450,71,Python,http://praw.readthedocs.io/,"PRAW, an acronym for ""Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-03-04,2010-08-19,654,4.60248853962017,"['python', 'reddit', 'api', 'oauth', 'praw', 'reddit-api']",2023-02-25,220,4,1.52,38,32,153,0,3,12,3,38.0,52.0,90.0,1.4,45.31656
+576,util,https://github.com/fsspec/filesystem_spec,,,,fsspec/filesystem_spec,filesystem_spec,553,239,22,Python,,filesystem_spec: A specification that python filesystems should adhere to.,fsspec,2023-03-04,2018-04-23,253,2.1783905458638153,[],2023-03-04,170,7,2.96,104,77,59,0,0,14,14,105.0,227.0,90.0,2.2,45.28748
+784,util,https://github.com/gefyrahq/gefyra,,,,gefyrahq/gefyra,gefyra,424,23,7,Python,https://gefyra.dev,"gefyra: Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.",gefyrahq,2023-03-01,2021-11-18,67,6.288135593220339,"['kubernetes', 'development', 'developer-tool', 'containers', 'coding', 'tunnel', 'docker', 'k8s']",2023-02-22,13,3,7.31,71,59,16,0,40,40,40,71.0,145.0,90.0,2.0,45.25592
+302,template,https://github.com/pyscaffold/pyscaffold,,,,pyscaffold/pyscaffold,pyscaffold,1736,172,40,Python,https://pyscaffold.org,pyscaffold: 🛠 Python project template generator with batteries included,pyscaffold,2023-03-03,2014-04-02,465,3.7287511506597117,"['python', 'release-automation', 'git', 'distribution', 'package-creation', 'template-project', 'project-template', 'package']",2023-02-21,56,6,2.77,27,25,109,0,7,21,7,27.0,44.0,90.0,1.6,45.24689
+658,ml,https://github.com/pytorch/glow,,,,pytorch/glow,glow,2920,665,155,C++,,glow: Compiler for Neural Network hardware accelerators,pytorch,2023-03-04,2017-09-29,283,10.307614725163893,[],2023-02-22,334,1,2.65,22,6,66,0,0,0,0,22.0,40.0,90.0,1.8,45.18506
+512,typing,https://github.com/agronholm/typeguard,,,,agronholm/typeguard,typeguard,1117,82,16,Python,,typeguard: Run-time type checker for Python,agronholm,2023-03-04,2015-12-27,375,2.978666666666667,[],2023-03-01,25,5,2.19,67,55,87,0,0,7,7,67.0,240.0,90.0,3.6,45.17989
+429,jupyter,https://github.com/jupyter-lsp/jupyterlab-lsp,,,,jupyter-lsp/jupyterlab-lsp,jupyterlab-lsp,1434,119,17,TypeScript,,jupyterlab-lsp: Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol,jupyter-lsp,2023-03-01,2019-08-17,185,7.74537037037037,"['jupyterlab', 'jupyterlab-extension', 'language-server-protocol', 'jupyter-lab', 'lsp', 'linter', 'jupyter', 'jupyter-notebook', 'notebook', 'notebook-jupyter', 'ipython', 'autocompletion', 'julia-language', 'r']",2023-01-02,46,6,3.19,45,22,43,2,2,12,2,45.0,69.0,90.0,1.5,45.1066
+109,data,https://github.com/binux/pyspider,,,,binux/pyspider,pyspider,15758,3673,905,Python,http://docs.pyspider.org/,pyspider: A Powerful Spider(Web Crawler) System in Python.,binux,2023-03-04,2014-02-21,471,33.43619278569263,"['python', 'crawler']",2020-08-02,62,2,0.0,3,0,110,31,0,1,1,3.0,3.0,90.0,1.0,45.05119
+738,ml,https://github.com/koaning/scikit-lego,,,,koaning/scikit-lego,scikit-lego,978,102,19,Python,https://scikit-lego.netlify.app,scikit-lego: Extra blocks for scikit-learn pipelines.,koaning,2023-03-03,2019-01-21,214,4.55186170212766,"['scikit-learn', 'machine-learning', 'common-sense']",2023-03-04,57,6,0.6,12,9,50,0,5,8,5,12.0,38.0,90.0,3.2,44.9395
+657,ml,https://github.com/tensorly/tensorly,,,,tensorly/tensorly,tensorly,1371,269,46,Python,http://tensorly.org,TensorLy: Tensor Learning in Python.,tensorly,2023-03-04,2016-10-21,332,4.125967325881342,"['machine-learning', 'tensor', 'decomposition', 'tensor-algebra', 'tensorly', 'tensor-learning', 'python', 'tensor-methods', 'pytorch', 'mxnet', 'jax', 'tensorflow', 'cupy', 'numpy', 'tensor-decomposition', 'tensor-factorization', 'tensor-regression', 'regression']",2023-02-16,59,6,5.15,53,32,77,0,1,3,1,53.0,111.0,90.0,2.1,44.85665
+402,perf,https://github.com/tiangolo/asyncer,,,,tiangolo/asyncer,asyncer,964,38,15,Python,https://asyncer.tiangolo.com/,"Asyncer, async and await, focused on developer experience.",tiangolo,2023-03-04,2022-01-04,60,15.877647058823529,"['python', 'async', 'asyncio', 'trio', 'anyio']",2023-02-21,10,3,1.19,15,9,14,0,1,2,1,15.0,24.0,90.0,1.6,44.77163
+293,util,https://github.com/pytoolz/toolz,,,,pytoolz/toolz,toolz,4180,249,82,Python,http://toolz.readthedocs.org/,toolz: A functional standard library for Python.,pytoolz,2023-03-03,2013-09-13,494,8.45664739884393,[],2022-11-03,74,8,0.25,18,5,115,4,1,3,1,18.0,28.0,90.0,1.6,44.7024
+607,testing,https://github.com/pytest-dev/pytest-xdist,,,,pytest-dev/pytest-xdist,pytest-xdist,1100,192,47,Python,https://pytest-xdist.readthedocs.io,pytest-xdist: pytest plugin for distributed testing and loop-on-failures testing modes. ,pytest-dev,2023-03-02,2015-09-01,391,2.8081692195477754,"['hacktoberfest', 'pytest', 'pytest-plugin']",2023-02-27,89,5,1.27,44,31,91,0,0,8,8,46.0,130.0,90.0,2.8,44.66454
+719,util,https://github.com/omry/omegaconf,,,,omry/omegaconf,omegaconf,1419,74,16,Python,,omegaconf: Flexible Python configuration system. The last one you will ever need.,omry,2023-03-04,2018-09-03,234,6.041970802919708,"['python', 'yaml', 'yaml-configuration', 'configuration-files', 'configuration-loader', 'python-types', 'schema-validator']",2022-12-20,28,6,1.94,32,17,55,2,4,4,4,32.0,73.0,90.0,2.3,44.57117
+162,nlp,https://github.com/explosion/spacy-transformers,,,,explosion/spacy-transformers,spacy-transformers,1214,156,30,Python,https://spacy.io/usage/embeddings-transformers,"spacy-transformers: 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy",explosion,2023-03-04,2019-07-26,188,6.447647951441578,"['spacy', 'spacy-pipeline', 'spacy-extension', 'nlp', 'natural-language-processing', 'natural-language-understanding', 'pytorch', 'bert', 'google', 'pytorch-model', 'openai', 'language-model', 'machine-learning', 'huggingface', 'transfer-learning', 'xlnet', 'gpt-2']",2023-03-03,20,6,0.83,19,18,44,0,8,12,8,19.0,23.0,90.0,1.2,44.55283
+1033,finance,https://github.com/ranaroussi/quantstats,,,,ranaroussi/quantstats,quantstats,2862,570,86,Python,,"quantstats: Portfolio analytics for quants, written in Python",ranaroussi,2023-03-05,2019-05-01,200,14.26923076923077,"['quant', 'algotrading', 'algorithmic-trading', 'quantitative-trading', 'quantitative-analysis', 'algo-trading', 'python', 'visualization', 'plotting', 'quantitative-finance', 'finance']",2022-07-05,22,4,0.58,33,2,47,8,9,3,9,33.0,30.0,90.0,0.9,44.4481
+912,util,https://github.com/ets-labs/python-dependency-injector,1.0,,,ets-labs/python-dependency-injector,python-dependency-injector,2706,204,46,Python,https://python-dependency-injector.ets-labs.org/,python-dependency-injector: Dependency injection framework for Python,ets-labs,2023-03-04,2015-01-04,426,6.352112676056338,"['python', 'dependency-injection', 'ioc', 'ioc-container', 'factory', 'singleton', 'design-patterns', 'dependency-injection-container', 'dependency-injection-framework', 'flask', 'aiohttp', 'asyncio', 'python3', 'python-3', 'python-2', 'flask-application', 'flask-restful', 'threadlocal']",2022-12-19,29,7,0.67,44,15,99,2,0,40,40,43.0,36.0,90.0,0.8,44.41271
+368,nlp,https://github.com/layout-parser/layout-parser,,,,layout-parser/layout-parser,layout-parser,3499,350,60,Python,https://layout-parser.github.io/,layout-parser: A Unified Toolkit for Deep Learning Based Document Image Analysis,layout-parser,2023-03-04,2020-06-10,142,24.54208416833667,"['layout-analysis', 'deep-learning', 'object-detection', 'ocr', 'layout-parser', 'detectron2', 'document-layout-analysis', 'computer-vision', 'document-image-processing', 'layout-detection']",2022-08-06,8,4,0.21,12,2,33,7,2,4,2,12.0,11.0,90.0,0.9,44.39663
+417,pandas,https://github.com/pyjanitor-devs/pyjanitor,1.0,,,pyjanitor-devs/pyjanitor,pyjanitor,1115,159,21,Python,https://pyjanitor-devs.github.io/pyjanitor,pyjanitor: Clean APIs for data cleaning. Python implementation of R package Janitor,pyjanitor-devs,2023-02-28,2018-03-04,261,4.272030651340996,"['pandas', 'dataframe', 'data', 'cleaning-data', 'data-engineering', 'pydata', 'hacktoberfest']",2023-03-03,106,5,2.29,50,36,61,0,2,10,2,50.0,94.0,90.0,1.9,44.3839
+222,data,https://github.com/pynamodb/pynamodb,1.0,,,pynamodb/pynamodb,PynamoDB,2126,418,41,Python,http://pynamodb.readthedocs.io,PynamoDB: A pythonic interface to Amazon's DynamoDB,pynamodb,2023-03-02,2014-01-20,475,4.4677274091864305,"['python', 'dynamodb', 'aws']",2023-02-28,102,2,0.83,64,45,111,0,11,10,11,64.0,96.0,90.0,1.5,44.29228
+618,jupyter,https://github.com/nbqa-dev/nbqa,,,,nbqa-dev/nbqa,nbQA,709,35,7,Python,https://nbqa.readthedocs.io/en/latest/index.html,"nbQA: Run isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks",nbqa-dev,2023-03-04,2020-07-11,138,5.132368148914168,"['python', 'jupyter-notebook', 'pre-commit', 'codequality', 'lint', 'isort', 'black', 'flake8', 'doctest', 'pyupgrade', 'pylint', 'mypy', 'yapf', 'pre-commit-hook']",2023-02-27,23,6,1.15,30,27,32,0,0,32,32,30.0,49.0,90.0,1.6,44.26129
+903,data,https://github.com/googleapis/python-bigquery,,,,googleapis/python-bigquery,python-bigquery,573,233,58,Python,,googleapis/python-bigquery,googleapis,2023-03-03,2019-12-10,168,3.3962743437764606,[],2023-03-04,125,5,3.52,145,90,39,0,21,39,21,145.0,142.0,90.0,1.0,44.24928
+598,gis,https://github.com/domlysz/blendergis,,,,domlysz/blendergis,BlenderGIS,6075,1134,245,Python,,BlenderGIS: Blender addons to make the bridge between Blender and geographic data,domlysz,2023-03-03,2014-05-08,460,13.194228979211914,"['blender', 'addon', 'geospatial', 'gis', 'shapefile', 'delaunay-triangulation', 'raster', 'openstreetmap', 'python', 'dem', '3dgis', 'map', 'geodata', 'georeferencing', 'importexport', '3d', 'terrain-model', 'basemap', '3d-map']",2022-05-31,15,3,0.19,27,3,107,9,2,2,2,27.0,68.0,90.0,2.5,44.21974
+263,sim,https://github.com/quantecon/quantecon.py,,,,quantecon/quantecon.py,QuantEcon.py,1611,2147,147,Python,https://quantecon.org/quantecon-py/,QuantEcon.py: A community based Python library for quantitative economics,quantecon,2023-03-02,2013-03-22,519,3.102338376891334,[],2023-02-24,42,6,1.98,51,35,121,0,2,4,2,51.0,148.0,90.0,2.9,44.18862
+197,nlp,https://github.com/eleutherai/gpt-neo,,,,eleutherai/gpt-neo,gpt-neo,7211,723,170,Python,https://www.eleuther.ai,gpt-neo: An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.,eleutherai,2023-03-04,2020-07-05,139,51.87769784172662,"['language-model', 'transformers', 'gpt', 'gpt-2', 'gpt-3']",2022-02-25,29,2,0.0,0,0,32,12,0,2,2,0.0,0.0,90.0,0.0,44.17419
+852,profiling,https://github.com/pythonprofilers/memory_profiler,,,,pythonprofilers/memory_profiler,memory_profiler,3788,366,76,Python,http://pypi.python.org/pypi/memory_profiler,memory_profiler: Monitor Memory usage of Python code,pythonprofilers,2023-03-04,2011-10-14,594,6.374038461538461,[],2022-12-06,101,7,0.63,11,4,139,3,0,4,4,11.0,14.0,90.0,1.3,44.09747
+63,sim,https://github.com/projectmesa/mesa,,,,projectmesa/mesa,mesa,1823,758,89,Python,,Mesa is an agent-based modeling framework in Python,projectmesa,2023-03-04,2014-09-19,441,4.131110391712529,"['mesa', 'agent-based-modeling', 'agent-based-simulation', 'simulation-framework', 'simulation', 'simulation-environment', 'complex-systems', 'complexity-analysis', 'modeling-agents', 'spatial-models', 'gis']",2023-02-10,121,3,5.52,126,99,103,0,1,2,1,126.0,175.0,90.0,1.4,44.08327
+447,ml,https://github.com/csinva/imodels,,,,csinva/imodels,imodels,1054,97,24,Jupyter Notebook,https://csinva.io/imodels,"imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).",csinva,2023-03-03,2019-07-04,191,5.505970149253732,"['interpretability', 'machine-learning', 'data-science', 'artificial-intelligence', 'ml', 'ai', 'statistics', 'scikit-learn', 'python', 'optimal-classification-tree', 'rulefit', 'imodels', 'rule-learning', 'supervised-learning', 'explainable-ml', 'explainable-ai', 'rules', 'bayesian-rule-list']",2023-02-12,15,4,2.75,25,18,45,1,10,8,10,25.0,57.0,90.0,2.3,44.05829
+973,sim,https://github.com/a-r-j/graphein,,,,a-r-j/graphein,graphein,754,97,16,Jupyter Notebook,https://graphein.ai/,graphein: Protein Graph Library,a-r-j,2023-02-26,2019-08-28,183,4.107392996108949,"['protein', 'protein-structure', 'deep-learning', 'pytorch', 'graph-neural-networks', 'dgl', 'computational-biology', 'bioinformatics', 'structural-biology', 'protein-data-bank', 'protein-design', 'geometric-deep-learning', 'pytorch-geometric', 'python', 'interactomics', 'interactome', 'rna', 'ppi-networks', 'gene-regulatory-networks', 'drug-discovery']",2023-02-21,21,5,1.4,41,28,43,0,8,3,8,41.0,107.0,90.0,2.6,44.03607
+871,util,https://github.com/ipython/ipykernel,,,,ipython/ipykernel,ipykernel,536,337,34,Python,https://ipykernel.readthedocs.io/en/stable/,ipykernel: IPython Kernel for Jupyter,ipython,2023-03-02,2015-04-09,412,1.2996189816418426,"['ipython', 'ipython-kernel', 'jupyter', 'python', 'closember', 'jupyter-notebook', 'kernel']",2023-03-02,165,7,4.38,80,50,96,0,32,14,32,80.0,207.0,90.0,2.6,43.997
+596,time-series,https://github.com/uber/orbit,,,,uber/orbit,orbit,1608,120,33,Python,https://orbit-ml.readthedocs.io/en/stable/,orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,uber,2023-03-04,2020-01-07,164,9.762359063313097,"['python', 'forecasting', 'bayesian', 'exponential-smoothing', 'pyro', 'stan', 'pystan', 'probabilistic-programming', 'probabilistic', 'forecast', 'orbit', 'time-series', 'regression', 'arima', 'changepoint', 'bayesian-methods', 'bayesian-statistics', 'machine-learning', 'regression-models', 'pytorch']",2023-01-29,18,3,1.54,17,9,38,1,7,8,7,17.0,20.0,90.0,1.2,43.98554
+967,study,https://github.com/openai/spinningup,,,,openai/spinningup,spinningup,7937,1850,216,Python,https://spinningup.openai.com/,spinningup: An educational resource to help anyone learn deep reinforcement learning.,openai,2023-03-04,2018-11-07,225,35.18619379354021,[],2020-02-07,25,2,0.0,12,5,53,37,0,1,1,12.0,9.0,90.0,0.8,43.92187
+646,util,https://github.com/grahamdumpleton/wrapt,,,,grahamdumpleton/wrapt,wrapt,1821,209,45,Python,,"wrapt: A Python module for decorators, wrappers and monkey patching.",grahamdumpleton,2023-03-03,2013-05-29,509,3.5735912531539107,[],2023-02-27,27,6,0.94,20,14,119,0,0,5,5,20.0,49.0,90.0,2.5,43.88032
+403,perf,https://github.com/agronholm/anyio,,,,agronholm/anyio,anyio,1196,101,26,Python,,anyio: High level asynchronous concurrency and networking framework that works on top of either trio or asyncio,agronholm,2023-03-04,2018-08-19,237,5.046413502109704,"['async-await', 'trio', 'asyncio', 'curio']",2023-03-03,38,3,2.06,30,14,55,0,0,10,10,30.0,48.0,90.0,1.6,43.81771
+674,gis,https://github.com/apache/incubator-sedona,,,,apache/incubator-sedona,sedona,1366,561,105,Java,http://sedona.apache.org/,sedona: A cluster computing framework for processing large-scale geospatial data,apache,2023-03-04,2015-04-24,410,3.3293871866295266,"['cluster-computing', 'spatial-sql', 'geospatial', 'spatial-analysis', 'spatial-query', 'scala', 'java', 'python']",2023-03-04,93,5,4.37,187,181,96,0,4,9,4,187.0,108.0,90.0,0.6,43.65712
+324,security,https://github.com/pyupio/safety,,,,pyupio/safety,safety,1465,124,31,Python,https://pyup.io/safety/,Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.,pyupio,2023-03-01,2016-10-19,332,4.405068728522337,"['python', 'security', 'security-vulnerability', 'travis', 'vulnerability-scanners', 'vulnerability-detection']",2023-02-26,41,4,2.77,40,27,78,0,11,9,11,40.0,38.0,90.0,0.9,43.64472
+846,util,https://github.com/fsspec/s3fs,,,,fsspec/s3fs,s3fs,648,216,22,Python,http://s3fs.readthedocs.io/en/latest/,s3fs: S3 Filesystem ,fsspec,2023-03-03,2016-03-16,363,1.7823182711198429,['hacktoberfest'],2023-02-23,114,8,0.85,49,31,85,0,0,8,8,49.0,145.0,90.0,3.0,43.61555
+688,util,https://github.com/pyfpdf/fpdf2,,,,pyfpdf/fpdf2,fpdf2,621,165,17,Python,https://pyfpdf.github.io/fpdf2/,fpdf2: Simple PDF generation for Python,pyfpdf,2023-03-03,2017-03-15,311,1.9931224209078404,"['pdf-generation', 'pdf', 'python', 'hacktoberfest', 'barcode', 'pdf-library', 'python3', 'library', 'svg', 'markdown']",2023-03-03,87,3,6.08,115,92,73,0,9,6,9,115.0,319.0,90.0,2.8,43.53655
+34,nlp,https://github.com/jbesomi/texthero,,,,jbesomi/texthero,texthero,2709,229,43,Python,https://texthero.org,"texthero: Text preprocessing, representation and visualization from zero to hero.",jbesomi,2023-03-04,2020-04-06,151,17.839134524929445,"['text-preprocessing', 'text-representation', 'text-visualization', 'nlp', 'word-embeddings', 'machine-learning', 'text-mining', 'nlp-pipeline', 'text-clustering', 'texthero']",2022-10-28,20,5,0.04,5,2,35,4,0,2,2,5.0,4.0,90.0,0.8,43.51105
+1037,finance,https://github.com/robcarver17/pysystemtrade,,,,robcarver17/pysystemtrade,pysystemtrade,1904,637,156,Python,,pysystemtrade: Systematic Trading in python,robcarver17,2023-03-05,2015-11-27,379,5.019962335216572,[],2023-03-03,59,2,15.17,122,96,88,0,1,0,1,122.0,111.0,90.0,0.9,43.50127
+319,gui,https://github.com/dddomodossola/remi,,,,dddomodossola/remi,remi,3232,394,121,Python,,"remi: Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.",dddomodossola,2023-03-04,2014-03-20,467,6.91442542787286,"['python', 'gui-library', 'remi', 'platform-independent', 'ui', 'gui']",2023-02-01,56,4,0.6,7,1,109,1,0,3,3,7.0,13.0,90.0,1.9,43.44071
+659,study,https://github.com/udacity/deep-learning-v2-pytorch,,,,udacity/deep-learning-v2-pytorch,deep-learning-v2-pytorch,4861,5222,174,Jupyter Notebook,,deep-learning-v2-pytorch: Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101,udacity,2023-03-02,2018-09-04,234,20.710286062081558,"['deep-learning', 'neural-network', 'convolutional-networks', 'pytorch', 'recurrent-networks', 'style-transfer', 'sentiment-analysis']",2022-12-24,98,5,0.1,5,1,55,2,0,0,0,5.0,0.0,90.0,0.0,43.36746
+640,util,https://github.com/pycqa/pycodestyle,,,,pycqa/pycodestyle,pycodestyle,4780,697,120,Python,https://pycodestyle.pycqa.org,pycodestyle: Simple Python style checker in one Python file,pycqa,2023-03-04,2009-10-02,700,6.82578539371685,"['python', 'pep8', 'styleguide', 'style-guide', 'linter-plugin', 'linter-flake8', 'flake8-plugin']",2022-12-13,131,4,0.73,14,11,163,3,0,3,3,14.0,17.0,90.0,1.2,43.27182
+685,util,https://github.com/bndr/pipreqs,,,,bndr/pipreqs,pipreqs,4936,330,60,Python,,pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.,bndr,2023-03-04,2015-04-22,410,12.022268615170494,[],2023-01-14,53,3,0.04,28,6,96,2,0,3,3,28.0,11.0,90.0,0.4,43.21901
+679,ml,https://github.com/hips/autograd,,,,hips/autograd,autograd,6211,850,217,Python,,autograd: Efficiently computes derivatives of numpy code.,hips,2023-03-03,2014-11-24,431,14.38207079060536,[],2022-09-29,52,6,0.08,4,1,101,5,0,0,0,4.0,4.0,90.0,1.0,43.19245
+855,jupyter,https://github.com/jupyter/nbdime,,,,jupyter/nbdime,nbdime,2382,156,44,Python,http://nbdime.readthedocs.io,nbdime: Tools for diffing and merging of Jupyter notebooks.,jupyter,2023-03-04,2015-11-16,380,6.254313578394599,"['jupyterlab-extension', 'jupyter', 'jupyter-notebook', 'diff', 'diffing', 'merge', 'git', 'hg', 'mercurial', 'mergetool', 'merge-driver', 'vcs', 'version-control']",2023-01-15,43,7,0.17,20,7,89,2,0,9,9,20.0,17.0,90.0,0.8,43.18329
+660,util,https://github.com/numba/llvmlite,,,,numba/llvmlite,llvmlite,1561,299,53,Python,http://llvmlite.pydata.org/,llvmlite: A lightweight LLVM python binding for writing JIT compilers,numba,2023-02-28,2014-08-07,447,3.48882503192848,[],2023-02-14,81,3,1.42,34,12,104,1,0,13,13,34.0,90.0,90.0,2.6,43.17746
+482,gis,https://github.com/sentinel-hub/eo-learn,,,,sentinel-hub/eo-learn,eo-learn,974,283,48,Python,,eo-learn: Earth observation processing framework for machine learning in Python,sentinel-hub,2023-03-01,2018-05-31,248,3.9206440483036227,"['machine-learning', 'eo-data', 'eo-research', 'python-package']",2023-01-24,50,5,3.96,94,87,58,1,9,8,9,94.0,80.0,90.0,0.9,43.16964
+905,viz,https://github.com/datapane/datapane,,,,datapane/datapane,datapane,788,64,16,Python,https://datapane.com,datapane: Build full-stack data analytics apps in Python,datapane,2023-03-02,2020-04-23,149,5.273422562141492,"['dashboard', 'reporting', 'data-visualization', 'python', 'hacktoberfest']",2023-03-03,11,3,5.98,11,6,35,0,0,18,18,11.0,23.0,90.0,2.1,43.12656
+728,ml,https://github.com/cleverhans-lab/cleverhans,,,,cleverhans-lab/cleverhans,cleverhans,5721,1383,191,Jupyter Notebook,,"cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both",cleverhans-lab,2023-03-04,2016-09-15,337,16.954699407281964,"['machine-learning', 'security', 'benchmarking']",2023-01-31,131,2,0.02,4,2,79,1,0,1,1,4.0,1.0,90.0,0.2,43.04827
+230,template,https://github.com/drivendata/cookiecutter-data-science,1.0,,,drivendata/cookiecutter-data-science,cookiecutter-data-science,6536,2089,113,Python,http://drivendata.github.io/cookiecutter-data-science/,"cookiecutter-data-science: A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.",drivendata,2023-03-04,2015-10-30,383,17.052553112187848,"['cookiecutter-data-science', 'cookiecutter', 'cookiecutter-template', 'data-science', 'machine-learning', 'ai']",2022-03-11,45,7,0.04,6,3,89,12,0,0,0,6.0,4.0,90.0,0.7,42.99598
+595,data,https://github.com/uber/petastorm,,,,uber/petastorm,petastorm,1589,267,43,Python,,"Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.",uber,2023-03-03,2018-06-15,246,6.4518561484918795,"['tensorflow', 'pytorch', 'deep-learning', 'machine-learning', 'sysml', 'pyspark', 'pyarrow', 'parquet', 'parquet-files']",2023-02-03,48,4,0.4,19,3,57,1,10,24,10,19.0,24.0,90.0,1.3,42.98145
+859,jupyter,https://github.com/jupyter/nbgrader,,,,jupyter/nbgrader,nbgrader,1162,318,42,Python,https://nbgrader.readthedocs.io/,nbgrader: A system for assigning and grading notebooks,jupyter,2023-02-27,2014-09-13,442,2.6281098546042,"['nbgrader', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'teaching', 'grading']",2023-03-03,99,4,4.02,57,17,103,0,7,3,7,57.0,91.0,90.0,1.6,42.94643
+1034,finance,https://github.com/polakowo/vectorbt,,,,polakowo/vectorbt,vectorbt,2624,453,97,Python,https://vectorbt.dev,"vectorbt: Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. ",polakowo,2023-03-05,2017-11-14,276,9.482705214248838,"['backtesting', 'trading', 'algorithmic-trading', 'trading-strategies', 'cryptocurrency', 'data-visualization', 'time-series', 'data-science', 'finance', 'machine-learning', 'portfolio-optimization', 'quantitative-finance', 'quantitative-analysis', 'algorithmic-traiding']",2023-02-27,11,5,0.5,33,8,65,0,0,0,0,33.0,42.0,90.0,1.3,42.93048
+821,data,https://github.com/uqfoundation/dill,1.0,,,uqfoundation/dill,dill,1870,157,22,Python,http://dill.rtfd.io,dill: serialize all of python,uqfoundation,2023-03-02,2013-06-28,505,3.700876448968052,[],2023-02-20,40,5,1.96,27,13,118,0,3,2,3,27.0,46.0,90.0,1.7,42.77594
+323,gui,https://github.com/wxwidgets/phoenix,,,,wxwidgets/phoenix,Phoenix,1953,496,104,Python,http://wxpython.org/,"Phoenix: wxPython's Project Phoenix.  A new implementation of wxPython, better, stronger, faster than he was before.",wxwidgets,2023-03-04,2012-07-17,554,3.52073139325264,"['python', 'cross-platform', 'gui-framework', 'gui-toolkit', 'gui', 'windows', 'macosx', 'linux', 'awesome', 'wxwidgets', 'wxpython']",2023-03-03,124,3,3.38,85,45,129,0,1,2,1,85.0,147.0,90.0,1.7,42.74366
+862,ml-ops,https://github.com/astronomer/astro-sdk,,,,astronomer/astro-sdk,astro-sdk,231,32,14,Python,https://astro-sdk-python.rtfd.io/,"astro-sdk: Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.",astronomer,2023-03-04,2021-12-06,64,3.5616740088105727,"['python', 'sql', 'pandas', 'airflow', 'sqlite', 'bigquery', 'postgres', 'snowflake', 'gcs', 's3', 'etl', 'elt', 'dags', 'workflows', 'data-analysis', 'data-science', 'apache-airflow']",2023-03-02,32,2,15.0,628,470,15,0,40,58,40,628.0,729.0,90.0,1.2,42.73043
+938,data,https://github.com/datastax/python-driver,,,,datastax/python-driver,python-driver,1319,510,81,Python,,python-driver: DataStax Python Driver for Apache Cassandra,datastax,2023-03-02,2013-07-08,503,2.6178055004252907,[],2023-02-28,188,7,0.29,11,7,118,0,0,9,9,11.0,16.0,90.0,1.5,42.7101
+882,time-series,https://github.com/aistream-peelout/flow-forecast,,,,aistream-peelout/flow-forecast,flow-forecast,1330,227,21,Python,https://flow-forecast.atlassian.net/wiki/spaces/FF/overview,"flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).",aistream-peelout,2023-03-02,2019-08-15,185,7.172573189522342,"['deep-learning', 'pytorch', 'time-series-forecasting', 'time-series', 'transfer-learning', 'deep-neural-networks', 'transformer', 'forecasting', 'lstm', 'time-series-regression', 'state-of-the-art-models', 'anomaly-detection', 'time-series-analysis', 'hacktoberfest']",2023-02-27,14,2,4.38,29,24,43,0,6,11,6,29.0,26.0,90.0,0.9,42.65566
+569,ml,https://github.com/mdbloice/augmentor,,,,mdbloice/augmentor,Augmentor,4868,858,123,Python,https://augmentor.readthedocs.io/en/stable,Augmentor: Image augmentation library in Python for machine learning.,mdbloice,2023-03-02,2016-03-01,365,13.3109375,"['augmentation', 'machine-learning', 'deep-learning', 'neural-networks']",2023-01-24,23,3,0.19,5,2,85,1,0,3,3,5.0,2.0,90.0,0.4,42.60792
+384,nlp,https://github.com/minimaxir/gpt-2-simple,,,,minimaxir/gpt-2-simple,gpt-2-simple,3178,652,74,Python,,gpt-2-simple: Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts,minimaxir,2023-03-02,2019-04-13,203,15.644163150492265,"['text-generation', 'tensorflow', 'openai', 'textgenrnn']",2022-05-22,21,5,0.02,9,1,47,10,0,4,4,9.0,7.0,90.0,0.8,42.57168
+206,ml,https://github.com/lucidrains/deep-daze,,,,lucidrains/deep-daze,deep-daze,4384,329,75,Python,,deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun,lucidrains,2023-03-02,2021-01-17,111,39.4954954954955,"['artificial-intelligence', 'deep-learning', 'transformers', 'siren', 'implicit-neural-representation', 'text-to-image', 'multi-modality']",2022-03-13,14,5,0.02,0,0,26,12,1,31,1,0.0,0.0,90.0,0.0,42.57098
+151,nlp,https://github.com/sloria/textblob,,,,sloria/textblob,TextBlob,8454,1114,269,Python,https://textblob.readthedocs.io/,"TextBlob: Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.",sloria,2023-03-03,2013-06-30,505,16.74059405940594,"['nlp', 'nltk', 'pattern', 'python', 'python-3', 'python-2', 'natural-language-processing']",2021-10-22,36,3,0.0,10,3,118,17,0,4,4,10.0,5.0,90.0,0.5,42.52375
+589,util,https://github.com/hgrecco/pint,,,,hgrecco/pint,pint,1949,416,40,Python,http://pint.readthedocs.org/,pint: Operate and manipulate physical quantities in Python,hgrecco,2023-03-04,2012-07-13,555,3.5099048109081554,"['python', 'science', 'units']",2023-02-13,182,3,2.67,54,19,130,1,0,4,4,54.0,85.0,90.0,1.6,42.49592
+626,data,https://github.com/intake/intake,,,,intake/intake,intake,873,125,43,Python,https://intake.readthedocs.io/,"Intake is a lightweight package for finding, investigating, loading and disseminating data.",intake,2023-03-01,2017-08-14,289,3.011828486939379,"['python', 'data-access', 'data-catalog']",2023-03-01,80,6,1.06,31,15,68,0,0,7,7,31.0,51.0,90.0,1.6,42.4679
+388,nlp,https://github.com/makcedward/nlpaug,,,,makcedward/nlpaug,nlpaug,3823,429,39,Jupyter Notebook,https://makcedward.github.io/,nlpaug: Data augmentation for NLP ,makcedward,2023-03-04,2019-03-21,206,18.519723183391005,"['nlp', 'augmentation', 'machine-learning', 'artificial-intelligence', 'data-science', 'natural-language-processing', 'adversarial-attacks', 'adversarial-example', 'ai', 'ml']",2022-07-07,33,5,0.29,20,1,48,8,1,7,1,20.0,7.0,90.0,0.3,42.38125
+217,ml,https://github.com/linkedin/greykite,1.0,,,linkedin/greykite,greykite,1674,92,37,Python,,"greykite: A flexible, intuitive and fast forecasting library",linkedin,2023-03-04,2021-04-27,96,17.308714918759232,[],2022-08-31,8,3,0.08,9,4,23,6,1,2,1,9.0,22.0,90.0,2.4,42.35875
+963,ml-dl,https://github.com/facebookresearch/pytorch-biggraph,,,,facebookresearch/pytorch-biggraph,PyTorch-BigGraph,3194,438,92,Python,https://torchbiggraph.readthedocs.io/,PyTorch-BigGraph: Generate embeddings from large-scale graph-structured data.,facebookresearch,2023-03-03,2018-10-01,230,13.83539603960396,[],2022-12-08,29,6,0.12,4,0,54,3,0,1,1,4.0,3.0,90.0,0.8,42.33711
+1035,finance,https://github.com/domokane/financepy,,,,domokane/financepy,FinancePy,1285,196,49,Jupyter Notebook,https://financepy.com/,"FinancePy: A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. ",domokane,2023-03-03,2019-10-27,175,7.3428571428571425,"['risk', 'pricing', 'risk-management', 'asset-allocation', 'finance', 'valuation', 'python', 'derivatives-pricing', 'numba', 'bonds', 'students', 'fixed-income', 'derivatives', 'investment', 'currency', 'credit']",2023-02-26,23,4,1.67,24,15,41,0,0,0,0,24.0,46.0,90.0,1.9,42.31583
+433,pandas,https://github.com/pydata/pandas-datareader,,,,pydata/pandas-datareader,pandas-datareader,2590,637,138,Python,https://pydata.github.io/pandas-datareader/stable/index.html,pandas-datareader: Extract data from a wide range of Internet sources into a pandas DataFrame.,pydata,2023-03-03,2015-01-15,424,6.102322450353416,"['html', 'data-analysis', 'data', 'dataset', 'stock-data', 'finance', 'financial-data', 'python', 'pydata', 'pandas', 'econdb', 'fama-french', 'economic-data', 'fred']",2022-03-16,85,1,0.04,19,5,99,12,0,3,3,19.0,168.0,90.0,8.8,42.284
+133,ml,https://github.com/hyperopt/hyperopt,,,,hyperopt/hyperopt,hyperopt,6607,1009,126,Python,http://hyperopt.github.io/hyperopt,hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python,hyperopt,2023-03-03,2011-09-06,599,11.016912815626489,[],2021-11-29,93,6,0.0,23,7,140,15,0,1,1,23.0,16.0,90.0,0.7,42.16775
+260,util,https://github.com/python-markdown/markdown,,,,python-markdown/markdown,markdown,3139,817,75,Python,https://python-markdown.github.io/,markdown: A Python implementation of John Gruber’s Markdown with Extension support.,python-markdown,2023-03-04,2010-05-29,666,4.71220244477804,"['python-markdown', 'markdown', 'markdown-parser', 'markdown-to-html', 'python', 'python3']",2023-01-09,165,2,0.62,16,13,155,2,0,4,4,16.0,40.0,90.0,2.5,42.15117
+815,ml-dl,https://github.com/calculatedcontent/weightwatcher,,,,calculatedcontent/weightwatcher,WeightWatcher,1153,100,29,Python,,WeightWatcher: The WeightWatcher tool for predicting the accuracy of   Deep Neural Networks,calculatedcontent,2023-03-03,2018-11-28,222,5.180359435173299,[],2023-03-04,8,3,8.71,76,53,52,0,1,2,1,76.0,131.0,90.0,1.7,42.12484
+338,perf,https://github.com/tlkh/asitop,,,,tlkh/asitop,asitop,1366,81,19,Python,https://tlkh.github.io/asitop/,asitop: Perf monitoring CLI tool for Apple Silicon,tlkh,2023-03-03,2021-10-27,70,19.356275303643724,"['cpu', 'gpu', 'cli', 'macos', 'm1', 'apple-silicon']",2023-01-24,8,2,0.29,12,2,16,1,0,0,0,12.0,21.0,90.0,1.8,41.8578
+445,gis,https://github.com/pyproj4/pyproj,,,,pyproj4/pyproj,pyproj,858,190,30,Python,https://pyproj4.github.io/pyproj,pyproj: Python interface to PROJ (cartographic projections and coordinate transformations library),pyproj4,2023-03-02,2014-12-29,426,2.0100401606425704,"['geospatial', 'python', 'coordinate-systems', 'coordinate-transformation', 'cartographic-projection', 'geodesic', 'hacktoberfest']",2023-02-25,58,4,3.02,65,51,100,0,7,7,7,65.0,134.0,90.0,2.1,41.83662
+539,nlp,https://github.com/huawei-noah/pretrained-language-model,,,,huawei-noah/pretrained-language-model,Pretrained-Language-Model,2632,567,53,Python,,Pretrained-Language-Model: Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.,huawei-noah,2023-03-03,2019-12-02,169,15.495374264087468,"['knowledge-distillation', 'model-compression', 'quantization', 'pretrained-models', 'large-scale-distributed']",2022-12-25,20,3,0.37,17,4,40,2,0,0,0,17.0,17.0,90.0,1.0,41.83009
+920,gis,https://github.com/giswqs/aws-open-data-geo,,,,giswqs/aws-open-data-geo,aws-open-data-geo,235,6,9,Python,,aws-open-data-geo: A list of open geospatial datasets on AWS,giswqs,2023-02-27,2022-12-18,11,21.363636363636363,"['aws', 'environment', 'geospatial', 'mapping', 'open-data', 'satellite-imagery', 'sustainability']",2023-03-04,2,2,0.9,1,0,3,0,0,0,0,1.0,4.0,90.0,4.0,41.80815
+621,util,https://github.com/suor/funcy,,,,suor/funcy,funcy,2986,134,73,Python,,funcy: A fancy and practical functional tools,suor,2023-03-01,2012-10-13,542,5.5077733860342555,"['functional-programming', 'utilities', 'python']",2023-02-26,31,3,0.35,5,4,126,0,0,5,5,5.0,7.0,90.0,1.4,41.70111
+310,data,https://github.com/graphistry/pygraphistry,,,,graphistry/pygraphistry,pygraphistry,1811,188,47,Python,,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer",graphistry,2023-03-03,2015-06-02,404,4.474761736674903,"['graph', 'visualization', 'gpu', 'graphistry', 'python', 'rapids', 'cugraph', 'networkx', 'neo4j', 'tigergraph', 'pandas', 'csv', 'webgl', 'splunk', 'cudf', 'jupyter', 'igraph', 'network-analysis', 'network-visualization', 'graph-visualization']",2022-12-23,31,4,1.48,33,12,94,2,0,22,22,33.0,44.0,90.0,1.3,41.69798
+297,util,https://github.com/pyparsing/pyparsing,,,,pyparsing/pyparsing,pyparsing,1772,241,23,Python,,pyparsing: Python library for creating PEG parsers,pyparsing,2023-03-03,2017-05-14,303,5.848184818481848,"['python', 'python2', 'python3', 'python-2', 'python-3', 'parser-combinators', 'parsing-expression-grammar', 'parsing', 'parsing-library', 'text-processing', 'peg-parsers']",2023-02-12,53,4,2.54,14,6,71,1,2,9,2,14.0,17.0,90.0,1.2,41.67744
+708,pandas,https://github.com/jmcarpenter2/swifter,,,,jmcarpenter2/swifter,swifter,2224,99,30,Python,,swifter: A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner,jmcarpenter2,2023-03-03,2018-04-07,256,8.682654768544339,"['pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization', 'dask', 'modin']",2022-08-16,17,5,0.38,8,4,60,7,0,16,16,8.0,9.0,90.0,1.1,41.66953
+699,profiling,https://github.com/pythonspeed/filprofiler,,,,pythonspeed/filprofiler,filprofiler,726,20,9,Rust,https://pythonspeed.com/products/filmemoryprofiler/,filprofiler: A Python memory profiler for data processing and scientific computing applications,pythonspeed,2023-03-03,2020-06-18,141,5.133333333333334,"['python', 'memory-profiler', 'memory-profiling', 'memory-leak', 'memory-leaks', 'memory-leak-detection', 'memory-leak-finder', 'memory', 'memory-']",2023-03-01,6,4,3.29,39,27,33,0,14,24,14,39.0,38.0,90.0,1.0,41.66224
+1014,finance,https://github.com/mementum/backtrader,1.0,,,mementum/backtrader,backtrader,10145,3152,579,Python,https://www.backtrader.com,backtrader: Python Backtesting library for trading strategies,mementum,2023-03-05,2015-01-10,425,23.862567204301076,"['python', 'trading', 'backtesting', 'metaclass']",2021-07-17,52,1,0.0,5,1,99,20,0,17,17,5.0,0.0,90.0,0.0,41.66057
+510,ml-dl,https://github.com/leondgarse/keras_cv_attention_models,,,,leondgarse/keras_cv_attention_models,keras_cv_attention_models,358,59,17,Python,,"keras_cv_attention_models: Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox",leondgarse,2023-03-03,2021-08-02,82,4.320689655172414,"['tensorflow', 'visualizing', 'keras', 'attention', 'model', 'imagenet', 'coco', 'recognition', 'detection', 'anchor-free', 'tf', 'tf2']",2023-02-25,4,3,6.29,11,8,19,0,21,67,21,11.0,38.0,90.0,3.5,41.63276
+0,data,https://github.com/andialbrecht/sqlparse,,,,andialbrecht/sqlparse,sqlparse,3164,622,93,Python,,sqlparse: A non-validating SQL parser module for Python,andialbrecht,2023-03-03,2012-04-18,567,5.574628744022149,[],2023-01-05,102,3,0.71,34,10,132,2,0,3,3,34.0,40.0,90.0,1.2,41.62743
+806,web,https://github.com/s3rius/fastapi-template,,,,s3rius/fastapi-template,FastAPI-template,671,69,13,Python,,FastAPI-template: Feature rich robust FastAPI template.,s3rius,2023-03-02,2020-10-05,125,5.331441543700341,"['fastapi', 'cookiecutter', 'cookiecutter-template', 'cookiecutter-python3', 'sqlalchemy-orm', 'asynchronous', 'ormar', 'tortoise-orm', 'aerich', 'alembic', 'python3', 'asyncio', 'graphql', 'strawberry-graphql', 'opentelemetry', 'prometheus', 'sentry', 'fastapi-template', 'fastapi-boilerplate']",2023-02-05,13,4,1.08,17,14,29,1,14,10,14,17.0,36.0,90.0,2.1,41.57486
+818,viz,https://github.com/facultyai/dash-bootstrap-components,,,,facultyai/dash-bootstrap-components,dash-bootstrap-components,949,202,21,JavaScript,https://dash-bootstrap-components.opensource.faculty.ai/,dash-bootstrap-components: Bootstrap components for Plotly Dash,facultyai,2023-03-04,2018-09-21,232,4.085485854858549,"['bootstrap', 'plotly-dash', 'python', 'dashboards', 'r', 'julia']",2023-02-28,30,4,1.69,63,60,54,0,18,34,18,63.0,40.0,90.0,0.6,41.54571
+145,ml,https://github.com/nmslib/hnswlib,,,,nmslib/hnswlib,hnswlib,2394,432,62,C++,https://github.com/nmslib/hnswlib,hnswlib: Header-only C++/python library for fast approximate nearest neighbors,nmslib,2023-03-04,2017-07-06,295,8.10348162475822,[],2023-02-05,65,4,0.81,25,13,69,1,1,2,1,25.0,13.0,90.0,0.5,41.50087
+872,perf,https://github.com/ipython/ipyparallel,,,,ipython/ipyparallel,ipyparallel,2361,959,120,Jupyter Notebook,https://ipyparallel.readthedocs.io/,ipyparallel: IPython Parallel: Interactive Parallel Computing in Python,ipython,2023-02-27,2015-04-09,412,5.724627641149983,"['parallel', 'jupyter', 'python']",2023-02-08,112,6,2.0,5,5,96,1,0,7,7,5.0,0.0,90.0,0.0,41.42639
+824,diffusion,https://github.com/thereforegames/unprompted,,,,thereforegames/unprompted,unprompted,287,31,9,Python,,unprompted: Text generator written for Stable Diffusion workflows.,thereforegames,2023-03-03,2022-10-31,17,16.072,[],2023-02-25,4,1,2.46,50,27,4,0,0,0,0,50.0,122.0,90.0,2.4,41.37379
+884,sim,https://github.com/pyscf/pyscf,,,,pyscf/pyscf,pyscf,854,459,76,Python,,pyscf: Python module for quantum chemistry,pyscf,2023-03-04,2014-05-02,461,1.8513471663053578,[],2023-03-04,142,4,5.37,129,82,108,0,2,7,2,129.0,214.0,90.0,1.7,41.33808
+649,profiling,https://github.com/p403n1x87/austin,,,,p403n1x87/austin,austin,1123,37,14,C,,austin: Python frame stack sampler for CPython,p403n1x87,2023-03-03,2018-09-20,232,4.83159188690842,"['python', 'profiling', 'performance', 'debugging-tools']",2023-02-21,7,4,1.71,16,11,54,0,3,6,3,16.0,37.0,90.0,2.3,41.27465
+560,gis,https://github.com/corteva/rioxarray,,,,corteva/rioxarray,rioxarray,373,60,14,Python,https://corteva.github.io/rioxarray,rioxarray: geospatial xarray extension powered by rasterio,corteva,2023-03-04,2019-04-16,202,1.8400281888653982,"['gis', 'rasterio', 'xarray', 'geospatial', 'python', 'gdal', 'raster', 'netcdf', 'hacktoberfest']",2023-03-03,30,9,2.37,32,26,47,0,14,16,14,32.0,63.0,90.0,2.0,41.27174
+615,testing,https://github.com/pytest-dev/pytest-testinfra,,,,pytest-dev/pytest-testinfra,pytest-testinfra,2169,321,82,Python,https://testinfra.readthedocs.io,pytest-testinfra: Testinfra test your infrastructures,pytest-dev,2023-03-03,2015-03-15,416,5.2139423076923075,"['python', 'testing', 'infrastructure-as-code', 'devops', 'tdd', 'nagios', 'docker', 'tdd-utilities', 'testing-tools', 'devops-tools', 'infrastructure-testing', 'saltstack', 'chef', 'puppet', 'ansible', 'kubernetes', 'pytest-plugin']",2023-01-11,123,5,0.48,39,20,97,2,4,10,4,39.0,18.0,90.0,0.5,41.25202
+959,util,https://github.com/fabiocaccamo/python-benedict,,,,fabiocaccamo/python-benedict,python-benedict,975,40,12,Python,,"python-benedict: :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.",fabiocaccamo,2023-03-04,2019-05-17,198,4.9171469740634,"['python', 'dict', 'dictionary', 'keypath', 'base64', 'csv', 'json', 'pickle', 'plist', 'query-string', 'toml', 'xml', 'yaml', 'encode', 'decode', 'filter', 'flatten', 'subset', 'traverse', 'xls']",2023-03-02,5,2,3.92,102,98,46,0,11,14,11,102.0,105.0,90.0,1.0,41.24548
+823,study,https://github.com/alirezadir/machine-learning-interview-enlightener,,,,alirezadir/machine-learning-interview-enlightener,machine-learning-interviews,1765,354,48,Jupyter Notebook,,machine-learning-interviews: This repo is meant to serve as a guide for Machine Learning/AI technical interviews. ,alirezadir,2023-03-03,2021-01-31,109,16.192660550458715,"['machine-learning', 'machine-learning-algorithms', 'ai', 'deep-learning', 'system-design', 'scalable-applications', 'interview', 'interview-preparation', 'interview-practice', 'interviews']",2023-03-01,6,3,0.67,2,2,25,0,0,0,0,2.0,2.0,90.0,1.0,41.22762
+991,sim,https://github.com/deepmodeling/deepmd-kit,,,,deepmodeling/deepmd-kit,deepmd-kit,1057,401,45,C++,https://docs.deepmodeling.com/projects/deepmd/,deepmd-kit: A deep learning package for many-body potential energy representation and molecular dynamics,deepmodeling,2023-03-02,2017-12-12,272,3.8758512310110005,"['deep-learning', 'molecular-dynamics', 'deepmd', 'lammps', 'potential-energy', 'python', 'tensorflow', 'cpp', 'cuda', 'rocm', 'ipi', 'ase', 'computational-chemistry', 'materials-science']",2022-12-19,46,2,4.58,164,145,64,2,7,11,7,164.0,207.0,90.0,1.3,41.20792
+645,data,https://github.com/pytables/pytables,,,,pytables/pytables,PyTables,1190,241,58,Python,http://www.pytables.org,PyTables: A Python package to manage extremely large amounts of data,pytables,2023-03-03,2011-06-03,613,1.940368040996972,[],2023-02-09,111,5,5.46,42,30,143,1,1,4,1,42.0,129.0,90.0,3.1,41.11191
+982,data,https://github.com/fugue-project/fugue,,,,fugue-project/fugue,fugue,1246,66,20,Python,https://fugue-tutorials.readthedocs.io/,"fugue: A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.",fugue-project,2023-03-03,2020-03-24,153,8.105947955390334,"['spark', 'dask', 'data-practitioners', 'machine-learning', 'distributed-systems', 'distributed-computing', 'distributed', 'sql', 'pandas']",2023-02-23,12,1,1.12,43,36,36,0,29,35,29,43.0,31.0,90.0,0.7,41.10542
+610,testing,https://github.com/pytest-dev/pytest-mock,,,,pytest-dev/pytest-mock,pytest-mock,1541,122,33,Python,https://pytest-mock.readthedocs.io/en/latest/,pytest-mock: Thin-wrapper around the mock package for easier use with pytest,pytest-dev,2023-03-03,2014-07-17,450,3.421186171899778,"['pytest', 'mock', 'hacktoberfest']",2023-02-27,64,7,0.98,15,13,105,0,5,7,5,15.0,9.0,90.0,0.6,41.10096
+992,nlp,https://github.com/intellabs/fastrag,,,,intellabs/fastrag,fastRAG,135,10,2,Python,,fastRAG: Efficient Retrieval Augmentation and Generation Framework,intellabs,2023-03-04,2023-01-23,5,23.048780487804876,"['nlp', 'benchmark', 'colbert', 'information-retrieval', 'semantic-search', 'sentence-transformers', 'summarization', 'transformers', 'diffusion', 'knowledge-graph', 'multi-modal', 'question-answering']",2023-03-01,4,3,0.13,5,3,1,0,0,12,12,5.0,1.0,90.0,0.2,41.02116
+504,gis,https://github.com/anitagraser/movingpandas,,,,anitagraser/movingpandas,movingpandas,932,170,37,Python,http://movingpandas.org,movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas,anitagraser,2023-03-04,2018-12-16,220,4.236363636363636,"['geopandas', 'trajectory', 'movement-data', 'trajectory-analysis', 'python', 'spatial-data-analysis']",2023-02-16,30,5,2.1,29,18,51,1,6,3,6,29.0,36.0,90.0,1.2,41.02054
+365,ml,https://github.com/rentruewang/koila,,,,rentruewang/koila,koila,1720,63,11,Python,https://rentruewang.github.io/koila,koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.,rentruewang,2023-02-28,2021-11-17,67,25.454545454545453,"['pytorch', 'lazy-evaluation', 'out-of-memory', 'python', 'machine-learning', 'deep-learning', 'memory-management', 'gradient-accumulation', 'neural-network']",2023-02-28,4,2,0.56,1,1,16,0,0,2,2,1.0,0.0,90.0,0.0,41.01146
+489,gis,https://github.com/scitools/cartopy,,,,scitools/cartopy,cartopy,1185,338,56,Python,https://scitools.org.uk/cartopy/docs/latest,Cartopy - a cartographic python library with matplotlib support,scitools,2023-03-04,2012-08-03,552,2.145628556647698,"['cartopy', 'matplotlib', 'python', 'geometry', 'maps', 'spatial', 'projections']",2023-02-28,118,4,1.29,51,33,129,0,3,4,3,51.0,106.0,90.0,2.1,41.00399
+88,testing,https://github.com/taverntesting/tavern,,,,taverntesting/tavern,tavern,913,182,28,Python,https://taverntesting.github.io/,"tavern: A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax",taverntesting,2023-02-23,2017-11-01,278,3.2774358974358972,"['python', 'pytest', 'testing', 'test-automation', 'mqtt', 'http']",2023-02-16,57,6,1.63,49,40,65,1,0,37,37,49.0,35.0,90.0,0.7,40.99872
+514,data,https://github.com/agronholm/sqlacodegen,,,,agronholm/sqlacodegen,sqlacodegen,1307,200,21,Python,,sqlacodegen: Automatic model code generator for SQLAlchemy,agronholm,2023-03-04,2016-12-28,322,4.051815766164747,[],2023-03-04,16,2,0.92,16,6,75,0,0,3,3,16.0,65.0,90.0,4.1,40.92726
+897,ml,https://github.com/shankarpandala/lazypredict,,,,shankarpandala/lazypredict,lazypredict,1874,212,23,Python,,lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning,shankarpandala,2023-03-04,2019-11-16,172,10.88630705394191,"['machine-learning', 'automl', 'regression', 'classification']",2022-09-28,18,7,0.6,40,3,40,5,1,4,1,40.0,25.0,90.0,0.6,40.89127
+617,testing,https://github.com/pytest-dev/pytest-asyncio,,,,pytest-dev/pytest-asyncio,pytest-asyncio,1106,118,35,Python,https://pytest-asyncio.readthedocs.io,pytest-asyncio: Asyncio support for pytest,pytest-dev,2023-03-01,2015-04-11,412,2.6835355285961873,[],2023-02-25,41,5,2.73,55,51,96,0,6,5,6,55.0,45.0,90.0,0.8,40.84817
+169,nlp,https://github.com/minimaxir/textgenrnn,,,,minimaxir/textgenrnn,textgenrnn,4867,751,138,Python,,textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.,minimaxir,2023-03-03,2017-08-07,290,16.733300589390964,"['keras', 'deep-learning', 'text-generation', 'tensorflow', 'python']",2020-07-14,19,3,0.0,2,0,68,32,0,2,2,2.0,4.0,90.0,2.0,40.76922
+725,web,https://github.com/rstudio/py-shiny,,,,rstudio/py-shiny,py-shiny,339,20,23,JavaScript,https://shiny.rstudio.com/py/,py-shiny: Shiny for Python,rstudio,2023-03-03,2021-07-27,83,4.049488054607509,[],2023-03-04,8,4,10.06,38,16,19,0,8,7,8,38.0,48.0,90.0,1.3,40.6881
+588,ml-ops,https://github.com/kedro-org/kedro-viz,,,,kedro-org/kedro-viz,kedro-viz,525,87,11,JavaScript,https://demo.kedro.org/,kedro-viz: Visualise your Kedro data and machine-learning pipelines and track your experiments. ,kedro-org,2023-02-27,2019-05-09,199,2.6325214899713467,"['kedro', 'kedro-plugin', 'data-visualization', 'hacktoberfest', 'react', 'experiment-tracking', 'python']",2023-03-02,38,3,4.13,139,105,46,0,13,14,13,139.0,155.0,90.0,1.1,40.68669
+239,data,https://github.com/simonw/sqlite-utils,,,,simonw/sqlite-utils,sqlite-utils,1106,84,19,Python,https://sqlite-utils.datasette.io,sqlite-utils: Python CLI utility and library for manipulating SQLite databases,simonw,2023-03-04,2018-07-14,242,4.567551622418879,"['sqlite', 'python', 'datasette', 'sqlite-database', 'click', 'cli', 'datasette-io', 'datasette-tool']",2022-12-10,27,5,2.4,20,4,56,3,7,25,7,20.0,31.0,90.0,1.6,40.65708
+698,perf,https://github.com/intel/scikit-learn-intelex,,,,intel/scikit-learn-intelex,scikit-learn-intelex,902,148,28,Python,https://intel.github.io/scikit-learn-intelex/,scikit-learn-intelex: Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application,intel,2023-03-04,2018-08-07,238,3.7785757031717533,"['oneapi', 'scikit-learn', 'machine-learning-algorithms', 'data-analysis', 'machine-learning', 'python', 'swrepo', 'ai-machine-learning', 'big-data', 'analytics', 'ai-training', 'ai-inference', 'gpu', 'intel']",2023-03-03,66,2,2.0,211,182,56,0,2,5,2,211.0,247.0,90.0,1.2,40.60577
+295,util,https://github.com/pyfilesystem/pyfilesystem2,,,,pyfilesystem/pyfilesystem2,pyfilesystem2,1822,173,46,Python,https://www.pyfilesystem.org,pyfilesystem2: Python's Filesystem abstraction layer,pyfilesystem,2023-02-26,2016-10-14,333,5.4667809687098154,"['filesystem', 'pyfilesystem', 'pyfilesystem2', 'python', 'ftp', 'tar', 'zip', 'filesystem-library']",2022-10-18,47,6,1.44,13,3,78,5,1,8,1,13.0,27.0,90.0,2.1,40.5271
+777,nlp,https://github.com/deepset-ai/farm,,,,deepset-ai/farm,FARM,1632,233,54,Python,https://farm.deepset.ai,FARM: :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,deepset-ai,2023-03-04,2019-07-17,189,8.608892238131123,"['language-models', 'bert', 'nlp', 'deep-learning', 'transfer-learning', 'pytorch', 'nlp-library', 'nlp-framework', 'xlnet-pytorch', 'ner', 'question-answering', 'pretrained-models', 'roberta', 'germanbert']",2022-08-31,37,4,0.04,5,3,44,6,0,7,7,5.0,6.0,90.0,1.2,40.46439
+947,web,https://github.com/awtkns/fastapi-crudrouter,,,,awtkns/fastapi-crudrouter,fastapi-crudrouter,1030,122,12,Python,https://fastapi-crudrouter.awtkns.com,fastapi-crudrouter: A dynamic FastAPI router that automatically creates CRUD routes for your models,awtkns,2023-03-02,2020-12-19,115,8.945409429280398,"['fastapi', 'code-generation', 'crud', 'api', 'swagger-ui', 'redoc', 'fastapi-crudrouter', 'crud-routes', 'rest', 'web', 'python', 'python3', 'sql', 'framework', 'async', 'asyncio', 'openapi-route', 'openapi']",2023-01-28,21,4,0.75,16,4,27,1,1,4,1,16.0,19.0,90.0,1.2,40.41212
+853,profiling,https://github.com/jiffyclub/snakeviz,,,,jiffyclub/snakeviz,snakeviz,1889,129,23,Python,https://jiffyclub.github.io/snakeviz/,snakeviz: An in-browser Python profile viewer,jiffyclub,2023-03-02,2012-06-26,557,3.3870389344262297,[],2023-02-17,24,7,0.08,7,2,130,0,0,2,2,7.0,16.0,90.0,2.3,40.37285
+582,gis,https://github.com/developmentseed/titiler,,,,developmentseed/titiler,titiler,482,103,18,Python,https://developmentseed.org/titiler/,titiler: Build your own Raster dynamic map tile services,developmentseed,2023-03-04,2019-06-28,192,2.5066864784546805,"['fastapi', 'cog', 'aws-cdk', 'aws-lambda', 'stac', 'cogeotiff', 'mosaicjson', 'raster', 'dynamic', 'server', 'rest', 'gdal', 'rasterio', 'tile', 'map-tile-server', 'map-tiles']",2023-03-01,32,8,2.1,31,28,45,0,0,15,15,31.0,25.0,90.0,0.8,40.26402
+689,ml-dl,https://github.com/nerdyrodent/vqgan-clip,,,,nerdyrodent/vqgan-clip,VQGAN-CLIP,2373,410,53,Python,,"VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.",nerdyrodent,2023-03-03,2021-07-02,87,27.18657937806874,"['text2image', 'text-to-image']",2022-10-02,7,2,0.08,6,3,20,5,0,0,0,6.0,4.0,90.0,0.7,40.25179
+216,ml-ops,https://github.com/nccr-itmo/fedot,,,,nccr-itmo/fedot,FEDOT,497,70,10,Python,https://fedot.readthedocs.io,FEDOT: Automated modeling and machine learning framework FEDOT,nccr-itmo,2023-02-20,2020-01-13,163,3.033129904097646,"['automl', 'machine-learning', 'evolutionary-algorithms', 'genetic-programming', 'structural-learning', 'automated-machine-learning', 'hyperparameter-optimization', 'parameter-tuning', 'automation', 'multimodality', 'fedot']",2023-02-27,27,4,4.88,99,70,38,0,4,4,4,99.0,110.0,90.0,1.1,40.09957
+100,nlp,https://github.com/clips/pattern,,,,clips/pattern,pattern,8428,1597,547,Python,https://github.com/clips/pattern/wiki,"pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.",clips,2023-03-04,2011-05-03,617,13.643848288621646,"['python', 'machine-learning', 'natural-language-processing', 'web-mining', 'wordnet', 'sentiment-analysis', 'network-analysis']",2020-04-25,30,5,0.0,4,0,144,35,1,0,1,4.0,5.0,90.0,1.2,40.03381
+396,web,https://github.com/neoteroi/blacksheep,,,,neoteroi/blacksheep,BlackSheep,1182,52,23,Python,https://www.neoteroi.dev/blacksheep/,BlackSheep: Fast ASGI web framework for Python,neoteroi,2023-03-03,2018-11-22,223,5.290281329923274,"['asyncio', 'server', 'http', 'asgi', 'blacksheep', 'python', 'web', 'framework', 'http-server']",2023-02-17,10,2,0.62,23,18,52,0,8,8,8,23.0,30.0,90.0,1.3,39.90103
+194,web,https://github.com/jordaneremieff/mangum,,,,jordaneremieff/mangum,mangum,1224,80,16,Python,https://mangum.io/,mangum: AWS Lambda support for ASGI applications,jordaneremieff,2023-03-04,2019-01-14,215,5.670416942422237,"['asgi', 'aws', 'lambda', 'serverless', 'python', 'asyncio', 'api-gateway', 'starlette', 'fastapi', 'quart', 'django', 'sanic', 'aws-lambda', 'python3']",2022-11-27,29,6,0.31,9,4,50,3,5,14,5,9.0,12.0,90.0,1.3,39.88866
+723,typing,https://github.com/patrick-kidger/torchtyping,,,,patrick-kidger/torchtyping,torchtyping,1202,28,14,Python,,"torchtyping: Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.",patrick-kidger,2023-03-01,2021-03-28,101,11.900990099009901,"['tensors', 'named-tensors', 'shape', 'pytorch', 'typing', 'python-typing']",2023-01-20,6,4,0.04,6,3,24,1,0,0,0,6.0,11.0,90.0,1.8,39.77227
+695,data,https://github.com/scholarly-python-package/scholarly,,,,scholarly-python-package/scholarly,scholarly,883,254,25,Python,https://scholarly.readthedocs.io/,"scholarly: Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!",scholarly-python-package,2023-03-03,2014-12-02,430,2.050082918739635,"['scholar', 'googlescholar', 'scholarly-articles', 'scholarly-communications', 'python3', 'python-3', 'python', 'citation-network', 'citation-analysis', 'citations', 'citation-index', 'publication-data']",2023-01-16,42,6,1.79,30,24,100,2,17,8,17,30.0,55.0,90.0,1.8,39.73735
+609,debug,https://github.com/inducer/pudb,,,,inducer/pudb,pudb,2601,217,47,Python,https://documen.tician.de/pudb/,pudb: Full-screen console debugger for Python,inducer,2023-03-03,2011-05-13,616,4.2204450625869265,"['python', 'debugger', 'pytest', 'pytest-plugin', 'pdb', 'ipython', 'bpython', 'urwid', 'debug']",2023-01-10,91,4,0.75,19,10,144,2,2,6,2,19.0,22.0,90.0,1.2,39.61254
+154,pandas,https://github.com/adamerose/pandasgui,,,,adamerose/pandasgui,PandasGUI,2853,195,54,Python,,PandasGUI: A GUI for Pandas DataFrames,adamerose,2023-03-04,2019-06-12,194,14.662995594713657,"['pandas', 'dataframe', 'gui', 'viewer']",2022-03-16,13,1,0.02,8,2,45,12,0,12,12,8.0,9.0,90.0,1.1,39.59897
+860,ml-ops,https://github.com/astronomer/astronomer,,,,astronomer/astronomer,astronomer,440,81,44,Python,https://www.astronomer.io,"astronomer: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes",astronomer,2023-03-02,2018-01-15,267,1.6426666666666667,"['apache-airflow', 'kubernetes', 'docker', 'astronomer-platform']",2023-03-03,71,4,9.0,81,77,62,0,27,68,27,81.0,58.0,90.0,0.7,39.51994
+85,graph,https://github.com/stellargraph/stellargraph,,,,stellargraph/stellargraph,stellargraph,2637,401,61,Python,https://stellargraph.readthedocs.io/,StellarGraph - Machine Learning on Graphs,stellargraph,2023-03-03,2018-04-13,255,10.329602686066032,"['graphs', 'machine-learning', 'machine-learning-algorithms', 'graph-convolutional-networks', 'networkx', 'geometric-deep-learning', 'saliency-map', 'interpretability', 'heterogeneous-networks', 'graph-neural-networks', 'graph-analysis', 'graph-machine-learning', 'gcn', 'link-prediction', 'stellargraph-library', 'graph-data', 'python', 'deep-learning', 'data-science']",2021-10-29,36,4,0.0,16,1,60,16,0,5,5,16.0,12.0,90.0,0.8,39.50931
+483,gis,https://github.com/sentinel-hub/sentinelhub-py,,,,sentinel-hub/sentinelhub-py,sentinelhub-py,677,219,47,Python,http://sentinelhub-py.readthedocs.io/en/latest/,sentinelhub-py: Download and process satellite imagery in Python using Sentinel Hub services.,sentinel-hub,2023-03-03,2017-05-17,302,2.237488196411709,"['python-library', 'sentinel-hub', 'aws', 'ogc-services', 'satellite-imagery']",2023-02-24,44,4,4.69,66,65,71,0,14,9,14,66.0,36.0,90.0,0.5,39.42944
+450,gis,https://github.com/jupyter-widgets/ipyleaflet,,,,jupyter-widgets/ipyleaflet,ipyleaflet,1332,351,61,JavaScript,https://ipyleaflet.readthedocs.io,ipyleaflet: A Jupyter - Leaflet.js bridge,jupyter-widgets,2023-02-24,2014-05-07,460,2.892059553349876,"['jupyterlab-extension', 'leaflet', 'visualization', 'jupyter']",2023-02-10,82,4,1.87,38,8,107,1,4,9,4,38.0,46.0,90.0,1.2,39.33653
+377,ml-interpretability,https://github.com/jalammar/ecco,,,,jalammar/ecco,ecco,1615,118,21,Jupyter Notebook,https://ecco.readthedocs.io,"ecco: Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).",jalammar,2023-03-03,2020-11-07,121,13.331367924528301,"['nlp', 'visualization', 'explorables', 'natural-language-processing', 'pytorch', 'language-models']",2022-01-18,10,5,0.0,2,1,28,14,0,5,5,2.0,2.0,90.0,1.0,39.32555
+1025,term,https://github.com/jazzband/prettytable,,,,jazzband/prettytable,prettytable,968,122,20,Python,https://pypi.org/project/PrettyTable/,prettytable: Display tabular data in a visually appealing ASCII table format,jazzband,2023-03-04,2016-01-15,372,2.600153491941673,"['python', 'package', 'python-3', 'utility-library']",2023-03-02,53,3,1.27,20,13,87,0,6,3,6,20.0,31.0,90.0,1.6,39.22478
+444,gis,https://github.com/toblerity/fiona,,,,toblerity/fiona,Fiona,1024,196,48,Python,https://fiona.readthedocs.io/,Fiona reads and writes geographic data files,toblerity,2023-03-02,2011-12-31,583,1.7560019598236158,"['python', 'gis', 'vector', 'gdal', 'ogr', 'cli', 'cython']",2023-02-26,66,3,1.54,117,98,136,0,8,10,8,117.0,133.0,90.0,1.1,39.21153
+822,study,https://github.com/firmai/industry-machine-learning,,,,firmai/industry-machine-learning,industry-machine-learning,6736,1124,392,Jupyter Notebook,https://www.linkedin.com/company/firmai,industry-machine-learning: A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai),firmai,2023-03-04,2019-05-03,200,33.631954350927245,"['machine-learning', 'jupyter-notebook', 'datascience', 'example', 'python', 'practical-machine-learning', 'data-science', 'firmai']",2021-12-18,6,4,0.0,0,0,47,15,0,0,0,0.0,0.0,90.0,0.0,39.20506
+829,typing,https://github.com/python-attrs/cattrs,,,,python-attrs/cattrs,cattrs,603,86,16,Python,,cattrs: Complex custom class converters for attrs.,python-attrs,2023-03-04,2016-08-28,340,1.7735294117647058,"['attrs', 'deserialization', 'serialization']",2023-03-02,45,5,2.17,21,15,79,0,0,4,4,21.0,48.0,90.0,2.3,39.14243
+796,data,https://github.com/jsonpickle/jsonpickle,,,,jsonpickle/jsonpickle,jsonpickle,1106,155,32,Python,https://jsonpickle.github.io,"jsonpickle: Python library for serializing any arbitrary object graph into JSON. It can take almost any Python object and turn the object into JSON. Additionally, it can reconstitute the object back into Python.",jsonpickle,2023-03-04,2009-12-10,690,1.6019035795572107,"['json', 'python', 'serialization', 'pickle', 'deserialization', 'objectstorage', 'bsd-3-clause']",2023-02-22,69,6,2.04,23,19,161,0,0,3,3,23.0,40.0,90.0,1.7,39.12769
+857,jupyter,https://github.com/jupyter/nbviewer,,,,jupyter/nbviewer,nbviewer,2061,537,93,Python,https://nbviewer.jupyter.org,nbviewer: nbconvert as a web service: Render Jupyter Notebooks as static web pages,jupyter,2023-03-02,2012-08-05,552,3.733695652173913,"['jupyter', 'jupyter-notebook', 'nbconvert']",2023-01-27,95,6,1.25,18,10,129,1,0,0,0,18.0,21.0,90.0,1.2,39.11943
+256,crypto,https://github.com/bmoscon/cryptofeed,,,,bmoscon/cryptofeed,cryptofeed,1680,544,75,Python,,cryptofeed: Cryptocurrency Exchange Websocket Data Feed Handler,bmoscon,2023-03-04,2017-12-16,272,6.173228346456693,"['python', 'trading', 'market-data', 'cryptocurrency', 'bitcoin', 'exchange', 'websockets', 'coinbase', 'binance', 'influxdb', 'asyncio', 'websocket', 'ftx-exchange', 'trading-platform', 'ethereum', 'cryptocurrencies', 'btc', 'crypto', 'coinbase-api']",2023-03-04,107,0,2.15,22,14,63,0,4,14,4,22.0,22.0,90.0,1.0,39.1141
+611,testing,https://github.com/pytest-dev/pytest-cov,,,,pytest-dev/pytest-cov,pytest-cov,1397,192,34,Python,,pytest-cov: Coverage plugin for pytest.,pytest-dev,2023-03-02,2014-04-17,463,3.0144882860665843,"['pytest', 'python']",2023-02-28,82,3,0.63,33,15,108,4,0,5,5,33.0,81.0,90.0,2.5,39.10932
+952,diffusion,https://github.com/coyote-a/ultimate-upscale-for-automatic1111,,,,coyote-a/ultimate-upscale-for-automatic1111,ultimate-upscale-for-automatic1111,201,15,4,Python,,coyote-a/ultimate-upscale-for-automatic1111,coyote-a,2023-03-04,2023-01-02,8,22.693548387096776,[],2023-02-07,4,0,1.19,35,31,2,1,0,0,0,35.0,88.0,90.0,2.5,39.01948
+208,crypto,https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot,,,,cyberpunkmetalhead/binance-volatility-trading-bot,Binance-volatility-trading-bot,3243,760,148,Python,,Binance-volatility-trading-bot: This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.,cyberpunkmetalhead,2023-03-03,2021-05-08,95,34.085585585585584,[],2021-06-10,19,4,0.0,1,0,22,21,0,0,0,1.0,0.0,90.0,0.0,38.97187
+586,ml,https://github.com/merantix-momentum/squirrel-core,,,,merantix-momentum/squirrel-core,squirrel-core,255,6,13,Python,https://squirrel-core.readthedocs.io/,"squirrel-core: A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:",merantix-momentum,2023-03-04,2022-02-11,55,4.612403100775194,"['python', 'ml', 'machine-learning', 'data-science', 'computer-vision', 'cv', 'nlp', 'natural-language-processing', 'ai', 'pytorch', 'tensorflow', 'jax', 'datasets', 'distributed', 'dataops', 'collaboration', 'deep-learning', 'data-mesh', 'data-ingestion', 'cloud-computing']",2023-03-02,13,5,1.69,15,12,13,0,15,14,15,15.0,12.0,90.0,0.8,38.84927
+462,util,https://github.com/rspeer/python-ftfy,,,,rspeer/python-ftfy,python-ftfy,3451,116,75,Python,http://ftfy.readthedocs.org,"python-ftfy: Fixes mojibake and other glitches in Unicode text, after the fact.",rspeer,2023-03-02,2012-08-24,549,6.282704811443433,[],2022-10-25,18,5,0.04,4,1,128,4,0,13,13,4.0,2.0,90.0,0.5,38.72771
+178,nlp,https://github.com/explosion/spacy-models,,,,explosion/spacy-models,spacy-models,1259,283,49,Python,https://spacy.io,spacy-models: 💫  Models for the spaCy Natural Language Processing (NLP) library,explosion,2023-03-03,2017-03-14,311,4.038955087076077,"['spacy', 'nlp', 'natural-language-processing', 'machine-learning', 'models', 'machine-learning-models', 'statistical-models', 'spacy-models']",2023-01-23,14,7,5.08,8,8,73,1,246,136,246,8.0,0.0,90.0,0.0,38.69613
+638,data,https://github.com/dask/fastparquet,,,,dask/fastparquet,fastparquet,642,164,18,Python,,fastparquet: python implementation of the parquet columnar file format.,dask,2023-03-03,2015-11-06,382,1.6793721973094171,['hacktoberfest'],2023-02-09,86,5,1.06,29,29,89,1,0,6,6,29.0,57.0,90.0,2.0,38.5896
+226,sim,https://github.com/facebookresearch/droidlet,,,,facebookresearch/droidlet,fairo,793,79,38,Jupyter Notebook,,fairo: A modular embodied agent architecture and platform for building embodied agents,facebookresearch,2023-02-28,2020-11-02,121,6.507620164126612,[],2023-02-01,43,2,7.54,21,7,28,1,0,0,0,21.0,27.0,90.0,1.3,38.589
+416,ml,https://github.com/bmabey/pyldavis,,,,bmabey/pyldavis,pyLDAvis,1688,350,56,Jupyter Notebook,,pyLDAvis: Python library for interactive topic model visualization. Port of the R LDAvis package.,bmabey,2023-03-02,2015-04-09,412,4.092829927260132,[],2023-02-15,39,5,0.29,38,33,96,1,1,3,1,38.0,33.0,90.0,0.9,38.55142
+955,web,https://github.com/long2ice/fastapi-cache,,,,long2ice/fastapi-cache,fastapi-cache,608,90,9,Python,https://github.com/long2ice/fastapi-cache,"fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.",long2ice,2023-03-03,2020-08-25,131,4.616052060737527,"['cache', 'fastapi', 'redis', 'memcached']",2023-02-15,24,3,1.02,30,21,31,1,3,4,3,30.0,49.0,90.0,1.6,38.41027
+16,perf,https://github.com/eventlet/eventlet,,,,eventlet/eventlet,eventlet,1160,299,63,Python,https://eventlet.net,eventlet: Concurrent networking library for Python,eventlet,2023-03-04,2012-12-11,533,2.1734475374732334,"['python', 'concurrency', 'network', 'c10k', 'greenlet', 'production-ready']",2023-03-01,183,2,0.29,39,21,124,0,0,5,5,39.0,57.0,90.0,1.5,38.40407
+424,debug,https://github.com/gotcha/ipdb,,,,gotcha/ipdb,ipdb,1667,146,27,Python,,ipdb: Integration of IPython pdb,gotcha,2023-03-03,2011-01-15,633,2.6328971119133575,"['python', 'ipython', 'debugger']",2022-12-13,54,7,0.25,23,15,148,3,0,3,3,23.0,38.0,90.0,1.7,38.40238
+724,perf,https://github.com/omyyyy/pycom,,,,omyyyy/pycom,pycom,1100,21,17,C++,,"pycom: A Python compiler, down to native code, using C++",omyyyy,2023-02-22,2022-07-16,33,33.189655172413794,[],2022-08-31,6,2,1.71,0,0,8,6,1,2,1,0.0,0.0,90.0,0.0,38.39113
+379,ml-interpretability,https://github.com/cdpierse/transformers-interpret,,,,cdpierse/transformers-interpret,transformers-interpret,975,86,17,Jupyter Notebook,,transformers-interpret: Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code. ,cdpierse,2023-03-03,2020-05-27,144,6.7440711462450595,"['nlp', 'machine-learning', 'natural-language-processing', 'explainable-ai', 'transformers', 'model-explainability', 'transformers-model', 'captum', 'deep-learning', 'neural-network', 'interpretability', 'computer-vision']",2023-01-14,7,5,0.71,13,1,34,2,3,4,3,13.0,17.0,90.0,1.3,38.36359
+247,util,https://github.com/jorgebastida/awslogs,,,,jorgebastida/awslogs,awslogs,4567,328,59,Python,,awslogs: AWS CloudWatch logs for Humans™,jorgebastida,2023-03-03,2015-01-21,423,10.782124789207419,[],2020-07-10,39,5,0.0,9,1,99,32,0,1,1,9.0,8.0,90.0,0.9,38.33663
+383,nlp,https://github.com/minimaxir/aitextgen,,,,minimaxir/aitextgen,aitextgen,1697,194,37,Python,https://docs.aitextgen.io,aitextgen: A robust Python tool for text-based AI training and generation using GPT-2.,minimaxir,2023-03-03,2019-12-29,166,10.22289156626506,[],2022-08-09,9,4,0.1,18,3,39,7,1,4,1,18.0,24.0,90.0,1.3,38.28995
+808,data,https://github.com/neo4j/neo4j-python-driver,,,,neo4j/neo4j-python-driver,neo4j-python-driver,775,170,98,Python,https://neo4j.com/docs/api/python-driver/current/,neo4j-python-driver: Neo4j Bolt driver for Python,neo4j,2023-02-28,2015-05-05,408,1.8961901433065362,"['python', 'graph-database', 'driver', 'neo4j', 'database-driver', 'protocol', 'cypher', 'query-language', 'python3', 'binary-protocol']",2023-02-27,41,4,2.69,36,32,95,0,19,14,19,36.0,25.0,90.0,0.7,38.2786
+627,gis,https://github.com/makepath/xarray-spatial,,,,makepath/xarray-spatial,xarray-spatial,679,76,24,Python,https://xarray-spatial.org,xarray-spatial: Raster-based Spatial Analytics for Python,makepath,2023-03-03,2020-02-08,160,4.239964317573595,"['python', 'raster-analysis', 'spatial-analysis', 'numba', 'datashader', 'xarray']",2023-03-02,28,4,0.92,97,32,37,0,3,12,3,97.0,36.0,90.0,0.4,38.17577
+639,testing,https://github.com/behave/behave,,,,behave/behave,behave,2778,610,119,Python,,"behave: BDD, Python style.",behave,2023-03-04,2011-10-25,592,4.686912509038322,[],2022-12-19,86,5,0.83,21,12,138,14,0,1,1,21.0,31.0,90.0,1.5,38.16225
+737,pandas,https://github.com/machow/siuba,,,,machow/siuba,siuba,1001,43,21,Python,https://siuba.org,siuba: Python library for using dplyr like syntax with pandas and SQL,machow,2023-03-03,2019-02-09,212,4.718518518518518,"['data-analysis', 'python', 'pandas', 'sql', 'dplyr']",2022-11-16,10,3,2.58,12,2,49,4,10,9,10,12.0,20.0,90.0,1.7,38.13962
+1036,finance,https://github.com/goldmansachs/gs-quant,,,,goldmansachs/gs-quant,gs-quant,1678,340,75,Jupyter Notebook,https://developer.gs.com/discover/products/gs-quant/,gs-quant: Python toolkit for quantitative finance,goldmansachs,2023-02-28,2018-12-14,220,7.617380025940337,"['gs-quant', 'goldman-sachs', 'risk-management', 'trading-strategies', 'derivatives']",2023-03-01,24,2,0.98,2,1,51,0,53,35,53,2.0,0.0,90.0,0.0,38.13774
+413,util,https://github.com/bastibe/python-soundfile,,,,bastibe/python-soundfile,python-soundfile,523,87,17,Python,,"python-soundfile: SoundFile is an audio library based on libsndfile, CFFI, and NumPy",bastibe,2023-02-27,2013-08-27,496,1.0529191832039113,[],2023-02-24,30,5,0.48,18,14,116,0,6,3,6,18.0,70.0,90.0,3.9,38.10323
+419,util,https://github.com/sethmmorton/natsort,,,,sethmmorton/natsort,natsort,734,42,14,Python,https://pypi.org/project/natsort/,natsort: Simple yet flexible natural sorting in Python.,sethmmorton,2023-03-03,2012-05-03,565,1.2981303688731682,"['python', 'natural-sort', 'sorting-interface', 'sorting', 'natsort']",2023-03-02,21,4,1.0,5,5,132,0,0,6,6,5.0,23.0,90.0,4.6,38.0868
+411,util,https://github.com/yaml/pyyaml,,,,yaml/pyyaml,pyyaml,2099,435,49,Python,,pyyaml: Canonical source repository for PyYAML,yaml,2023-03-04,2011-11-03,591,3.549033816425121,"['python', 'yaml']",2022-09-13,40,6,0.04,41,17,138,6,0,4,4,41.0,48.0,90.0,1.2,38.06907
+623,gis,https://github.com/scitools/iris,,,,scitools/iris,iris,538,264,45,Python,https://scitools-iris.readthedocs.io/en/latest/,"iris: A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data",scitools,2023-03-01,2012-08-06,551,0.9748899818793684,"['iris', 'python', 'netcdf', 'grib', 'visualisation', 'data-analysis', 'earth-science', 'meteorology', 'oceanography', 'spaceweather']",2023-02-28,100,2,5.46,168,90,129,0,8,7,8,168.0,251.0,90.0,1.5,38.05354
+895,ml-ops,https://github.com/hi-primus/optimus,,,,hi-primus/optimus,optimus,1342,225,42,Python,https://hi-optimus.com,"optimus: :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark",hi-primus,2023-03-01,2017-07-13,294,4.557981562348375,"['spark', 'pyspark', 'data-wrangling', 'bigdata', 'big-data-cleaning', 'data-science', 'data-cleansing', 'data-cleaner', 'data-transformation', 'machine-learning', 'data-profiling', 'data-extraction', 'data-exploration', 'data-analysis', 'data-preparation', 'cudf', 'dask', 'dask-cudf', 'data-cleaning']",2022-10-17,24,5,3.06,14,7,69,5,6,22,6,14.0,9.0,90.0,0.6,38.05315
+799,data,https://github.com/pallets/itsdangerous,,,,pallets/itsdangerous,itsdangerous,2637,214,57,Python,https://itsdangerous.palletsprojects.com,itsdangerous: Safely pass trusted data to untrusted environments and back.,pallets,2023-03-03,2011-06-24,610,4.320926966292135,"['python', 'security', 'hmac', 'serialization', 'itsdangerous', 'pallets']",2023-03-01,42,4,0.79,18,18,142,0,2,3,2,18.0,1.0,90.0,0.1,37.99431
+563,gis,https://github.com/geopandas/dask-geopandas,,,,geopandas/dask-geopandas,dask-geopandas,361,37,22,Python,https://dask-geopandas.readthedocs.io/,dask-geopandas: Parallel GeoPandas with Dask,geopandas,2023-03-04,2020-02-13,159,2.264336917562724,[],2023-02-27,17,7,0.44,19,12,37,0,6,4,6,19.0,36.0,90.0,1.9,37.97535
+616,testing,https://github.com/pytest-dev/pytest-bdd,,,,pytest-dev/pytest-bdd,pytest-bdd,1130,189,53,Python,https://pytest-bdd.readthedocs.io/en/latest/,pytest-bdd: BDD library for the py.test runner,pytest-dev,2023-03-02,2013-03-29,518,2.1802646085997797,[],2023-02-27,54,4,3.65,21,15,121,0,2,10,2,21.0,21.0,90.0,1.0,37.93345
+136,nlp,https://github.com/ddangelov/top2vec,,,,ddangelov/top2vec,Top2Vec,2443,337,38,Python,,"Top2Vec learns jointly embedded topic, document and word vectors.",ddangelov,2023-03-03,2020-03-20,154,15.834259259259259,"['topic-modeling', 'word-embeddings', 'document-embedding', 'topic-vector', 'topic-search', 'text-search', 'text-semantic-similarity', 'topic-modelling', 'semantic-search', 'bert', 'top2vec', 'sentence-transformers', 'sentence-encoder', 'pre-trained-language-models']",2023-01-26,2,0,0.21,26,10,36,1,2,7,2,26.0,27.0,90.0,1.0,37.90145
+710,ml,https://github.com/google-research/deeplab2,,,,google-research/deeplab2,deeplab2,874,146,22,Python,,"DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.",google-research,2023-03-02,2021-05-12,94,9.241691842900302,[],2023-01-17,12,4,0.79,9,5,22,2,0,0,0,9.0,12.0,90.0,1.3,37.88977
+881,time-series,https://github.com/pastas/pastas,,,,pastas/pastas,pastas,295,55,18,Python,https://pastas.readthedocs.io,pastas: :spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.,pastas,2023-03-01,2016-04-15,359,0.8210735586481114,"['hydrology', 'groundwater', 'python', 'timeseries', 'analysis', 'pastas']",2023-02-07,17,8,4.6,177,132,84,1,7,4,7,177.0,310.0,90.0,1.8,37.81202
+251,ml-dl,https://github.com/tensorflow/similarity,,,,tensorflow/similarity,similarity,926,91,31,Python,,similarity: TensorFlow Similarity is a python package focused on making similarity learning quick and easy.,tensorflow,2023-03-02,2020-06-15,141,6.527693856998993,"['similarity-learning', 'metric-learning', 'similarity-search', 'nearest-neighbor-search', 'nearest-neighbors', 'deep-learning', 'tensorflow', 'contrastive-learning', 'machine-learning', 'unsupervised-learning', 'clustering', 'python', 'simclr', 'simclr2', 'barlow-twins', 'simsiam', 'cosine-similarity', 'knn']",2023-01-16,23,3,0.69,16,7,33,2,1,1,1,16.0,24.0,90.0,1.5,37.80098
+935,web,https://github.com/koxudaxi/fastapi-code-generator,,,,koxudaxi/fastapi-code-generator,fastapi-code-generator,669,75,15,Python,,fastapi-code-generator: This code generator creates FastAPI app from an openapi file.,koxudaxi,2023-03-04,2020-06-14,142,4.711267605633803,"['fastapi', 'openapi', 'generator', 'python', 'pydantic']",2023-02-15,18,3,0.65,34,22,33,1,4,14,4,34.0,42.0,90.0,1.2,37.79949
+951,diffusion,https://github.com/lunarring/latentblending,,,,lunarring/latentblending,latentblending,206,18,12,Python,,"latentblending: Create butter-smooth transitions between prompts, powered by stable diffusion",lunarring,2023-03-03,2022-11-19,15,13.60377358490566,"['animation', 'diffusion', 'stable-diffusion']",2023-03-02,9,0,3.27,9,7,3,0,0,0,0,9.0,28.0,90.0,3.1,37.75055
+203,viz,https://github.com/ml-tooling/opyrator,,,,ml-tooling/opyrator,opyrator,2802,137,49,Python,https://opyrator-playground.mltooling.org,"opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.",ml-tooling,2023-03-03,2021-04-06,99,28.10028653295129,"['fastapi', 'streamlit', 'pydantic', 'python', 'microservices', 'serverless', 'faas', 'functions', 'python-functions', 'machine-learning', 'deployment', 'type-hints']",2021-05-06,4,0,0.0,9,5,23,22,0,6,6,9.0,6.0,90.0,0.7,37.73274
+414,nlp,https://github.com/chrismattmann/tika-python,,,,chrismattmann/tika-python,tika-python,1245,226,38,Python,,Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.,chrismattmann,2023-03-04,2014-06-26,453,2.7457466918714557,"['tika-server', 'python', 'tika-python', 'tika-server-jar', 'parser-interface', 'parse', 'translation-interface', 'usc', 'text-extraction', 'mime', 'buffer', 'memex', 'text-recognition', 'detection', 'recognition', 'nlp', 'nlp-machine-learning', 'nlp-library', 'covid-19', 'extraction']",2023-01-22,68,4,0.25,93,91,106,1,2,3,2,94.0,83.0,90.0,0.9,37.70298
+12,nlp,https://github.com/dialogflow/dialogflow-python-client-v2,,,,dialogflow/dialogflow-python-client-v2,python-dialogflow,387,145,53,Python,https://dialogflow.com/,python-dialogflow: Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.,dialogflow,2023-03-03,2017-10-24,279,1.3835546475995915,"['python', 'machine-learning', 'dialogflow']",2023-03-04,34,6,2.12,35,33,65,0,15,9,15,35.0,38.0,90.0,1.1,37.70092
+785,study,https://github.com/cosmicpython/book,,,,cosmicpython/book,book,2873,490,94,Python,https://www.cosmicpython.com,"book: A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it ""Cosmic Python"" tho.",cosmicpython,2023-03-03,2019-02-05,212,13.5063801208865,[],2023-02-06,44,3,0.17,2,0,50,1,0,0,0,2.0,0.0,90.0,0.0,37.67718
+21,nlp,https://github.com/facebookresearch/drqa,,,,facebookresearch/drqa,DrQA,4349,903,165,Python,,DrQA: Reading Wikipedia to Answer Open-Domain Questions,facebookresearch,2023-03-02,2017-07-07,295,14.728108369617804,[],2021-05-18,12,5,0.0,2,0,69,22,0,0,0,2.0,2.0,90.0,1.0,37.62041
+671,perf,https://github.com/brandtbucher/specialist,,,,brandtbucher/specialist,specialist,516,9,10,Python,,"specialist: Visualize CPython 3.11's specializing, adaptive interpreter. :fire:",brandtbucher,2023-02-27,2022-06-01,39,13.03971119133574,[],2023-03-01,3,2,1.04,2,2,9,0,10,14,10,2.0,0.0,90.0,0.0,37.57398
+943,web,https://github.com/aeternalis-ingenium/fastapi-backend-template,,,,aeternalis-ingenium/fastapi-backend-template,FastAPI-Backend-Template,289,49,10,Python,,"FastAPI-Backend-Template: A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.",aeternalis-ingenium,2023-03-03,2022-12-05,12,22.477777777777778,"['asynchronous', 'docker', 'docker-compose', 'fastapi', 'postgresql', 'python', 'sqlalchemy', 'codecov', 'githubactions', 'jwt', 'pre-commit', 'alembic', 'asyncpg', 'coverage', 'pytest']",2023-02-05,4,2,1.19,13,12,3,1,0,0,0,13.0,3.0,90.0,0.2,37.53234
+792,gis,https://github.com/kvos/coastsat,,,,kvos/coastsat,CoastSat,505,206,23,Jupyter Notebook,http://coastsat.wrl.unsw.edu.au/,CoastSat: Global shoreline mapping tool from satellite imagery,kvos,2023-02-24,2018-09-28,231,2.1834465719579987,"['google-earth-engine', 'earth-engine', 'remote-sensing', 'satellite-images', 'coastal-engineering', 'shoreline-detection']",2023-02-23,15,5,1.42,29,20,54,0,4,3,4,29.0,48.0,90.0,1.7,37.50163
+296,sim,https://github.com/openai/mujoco-py,,,,openai/mujoco-py,mujoco-py,2395,741,167,Cython,,"mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.",openai,2023-03-03,2016-04-24,358,6.689944134078212,[],2022-11-17,33,3,0.02,27,3,83,4,0,1,1,27.0,29.0,90.0,1.1,37.4868
+146,util,https://github.com/zenodo/zenodo,,,,zenodo/zenodo,zenodo,765,228,40,Python,https://zenodo.org,zenodo: Research. Shared.,zenodo,2023-03-03,2013-02-11,524,1.4575394665215025,"['zenodo', 'invenio', 'python', 'research-data-repository', 'research-data-management', 'flask', 'digital-library', 'open-science', 'open-access', 'scientific-publications', 'library-management', 'elasticsearch', 'postgresql', 'inveniosoftware']",2023-03-02,67,5,1.5,406,58,122,0,0,42,42,406.0,59.0,90.0,0.1,37.44538
+477,pandas,https://github.com/holoviz/hvplot,,,,holoviz/hvplot,hvplot,721,83,23,Python,https://hvplot.holoviz.org,"hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews",holoviz,2023-03-01,2018-03-19,258,2.785320088300221,"['holoviz', 'holoviews', 'plotting', 'datashader']",2023-02-10,39,4,2.0,57,12,60,1,3,22,3,57.0,68.0,90.0,1.2,37.35737
+637,ml,https://github.com/dask/dask-ml,,,,dask/dask-ml,dask-ml,836,237,41,Python,http://ml.dask.org,dask-ml: Scalable Machine Learning with Dask,dask,2023-03-04,2017-06-15,298,2.8013403542364768,['hacktoberfest'],2023-02-10,77,7,0.25,20,7,70,1,1,6,1,20.0,29.0,90.0,1.4,37.3017
+697,util,https://github.com/grantjenks/python-diskcache,,,,grantjenks/python-diskcache,python-diskcache,1710,107,19,Python,http://www.grantjenks.com/docs/diskcache/,python-diskcache: Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.,grantjenks,2023-03-03,2016-02-03,369,4.626981059141863,"['python', 'cache', 'persistence', 'key-value-store', 'filesystem']",2022-02-20,24,2,0.0,8,4,86,13,0,12,12,8.0,24.0,90.0,3.0,37.21101
+311,util,https://github.com/linkedin/shiv,,,,linkedin/shiv,shiv,1556,85,26,Python,,"shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.",linkedin,2023-03-01,2018-03-13,259,5.991199119911991,[],2022-11-04,39,4,0.15,5,3,61,4,2,4,2,5.0,5.0,90.0,1.0,37.00993
+448,gis,https://github.com/pysal/pysal,1.0,,,pysal/pysal,pysal,1117,292,81,Jupyter Notebook,http://pysal.org/pysal,PySAL: Python Spatial Analysis Library Meta-Package,pysal,2023-03-02,2013-02-19,523,2.1328423349699945,[],2023-01-28,77,6,0.23,6,6,122,1,4,3,4,6.0,8.0,90.0,1.3,36.92651
+204,debug,https://github.com/alexmojaki/snoop,,,,alexmojaki/snoop,snoop,901,31,17,Python,,"snoop: A powerful set of Python debugging tools, based on PySnooper",alexmojaki,2023-03-03,2019-05-13,198,4.530890804597701,"['python', 'debugging', 'debugger', 'debugging-tools', 'logging']",2022-12-22,22,6,0.17,12,3,46,2,0,1,1,12.0,19.0,90.0,1.6,36.90408
+390,diffusion,https://github.com/openai/glide-text2im,,,,openai/glide-text2im,glide-text2im,3041,434,124,Python,,glide-text2im: GLIDE: a diffusion-based text-conditional image synthesis model,openai,2023-03-04,2021-12-10,64,47.30444444444444,[],2022-03-21,4,1,0.0,0,0,15,12,0,0,0,0.0,0.0,90.0,0.0,36.87933
+360,ml-ops,https://github.com/tensorflow/data-validation,,,,tensorflow/data-validation,data-validation,699,150,49,Python,,data-validation: Library for exploring and validating machine learning data,tensorflow,2023-03-04,2018-07-02,243,2.866432337434095,[],2023-03-02,25,2,2.58,9,5,57,0,5,9,5,9.0,14.0,90.0,1.6,36.85997
+683,ml,https://github.com/nvidia/cuda-python,,,,nvidia/cuda-python,cuda-python,548,43,22,Python,https://nvidia.github.io/cuda-python/,cuda-python: CUDA Python Low-level Bindings,nvidia,2023-03-04,2021-06-28,87,6.23739837398374,[],2023-02-28,2,1,0.21,12,12,20,0,6,6,6,12.0,27.0,90.0,2.2,36.80431
+841,perf,https://github.com/joblib/loky,,,,joblib/loky,loky,445,43,10,Python,http://loky.readthedocs.io/en/stable/,loky: Robust and reusable Executor for joblib,joblib,2023-03-02,2015-12-25,375,1.1857632280167492,"['multiprocessing-library', 'python']",2023-03-02,17,6,0.42,24,15,88,0,0,5,5,24.0,65.0,90.0,2.7,36.66679
+503,gis,https://github.com/google/earthengine-api,,,,google/earthengine-api,earthengine-api,2143,918,207,JavaScript,,earthengine-api: Python and JavaScript bindings for calling the Earth Engine API.,google,2023-03-03,2015-04-22,410,5.21955462769659,[],2023-03-01,36,1,0.0,5,2,96,0,0,32,32,5.0,2.0,90.0,0.4,36.66041
+18,nlp,https://github.com/explosion/spacy-streamlit,,,,explosion/spacy-streamlit,spacy-streamlit,635,103,17,Python,https://share.streamlit.io/ines/spacy-streamlit-demo/master/app.py,spacy-streamlit: 👑 spaCy building blocks and visualizers for Streamlit apps,explosion,2023-03-03,2020-06-23,140,4.5126903553299496,"['spacy', 'nlp', 'natural-language-processing', 'visualizers', 'dependency-parsing', 'part-of-speech-tagging', 'named-entity-recognition', 'ner', 'streamlit', 'visualizer', 'text-classification', 'word-vectors', 'tokenization', 'machine-learning']",2023-02-27,12,5,0.27,3,3,33,0,3,4,3,3.0,3.0,90.0,1.0,36.61668
+837,finance,https://github.com/idanya/algo-trader,,,,idanya/algo-trader,algo-trader,635,67,22,Python,,"algo-trader: Trading bot with support for realtime trading, backtesting, custom strategies and much more.",idanya,2023-03-03,2021-09-14,76,8.277467411545624,"['algorithmic-trading', 'backtesting', 'crypto-bot', 'python', 'technical-analysis', 'trading-bot', 'trading-strategies']",2023-03-02,4,2,0.62,12,11,18,0,6,4,6,12.0,2.0,90.0,0.2,36.601
+752,study,https://github.com/karpathy/micrograd,,,,karpathy/micrograd,micrograd,4218,460,93,Jupyter Notebook,,micrograd: A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API,karpathy,2023-03-04,2020-04-13,150,27.960227272727273,[],2020-04-18,2,1,0.0,8,3,35,35,0,0,0,8.0,8.0,90.0,1.0,36.56893
+874,time-series,https://github.com/alkaline-ml/pmdarima,,,,alkaline-ml/pmdarima,pmdarima,1327,220,36,Python,https://www.alkaline-ml.com/pmdarima,"pmdarima: A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",alkaline-ml,2023-02-24,2017-03-30,309,4.288550323176362,"['arima', 'time-series', 'forecasting', 'forecasting-models', 'python', 'econometrics', 'pmdarima', 'machine-learning', 'sarimax']",2022-12-20,22,5,0.4,10,5,72,2,5,7,5,10.0,5.0,90.0,0.5,36.54607
+113,nlp,https://github.com/huggingface/neuralcoref,,,,huggingface/neuralcoref,neuralcoref,2653,460,97,C,https://huggingface.co/coref/,neuralcoref: ✨Fast Coreference Resolution in spaCy with Neural Networks,huggingface,2023-02-26,2017-07-03,295,8.967165620473201,"['python', 'machine-learning', 'coreference', 'spacy', 'coreference-resolution', 'spacy-extension', 'spacy-pipeline', 'nlp', 'neural-networks', 'pytorch']",2021-06-22,21,6,0.0,4,2,69,21,0,1,1,4.0,3.0,90.0,0.8,36.52177
+42,nlp,https://github.com/life4/textdistance,,,,life4/textdistance,textdistance,3064,241,61,Python,,"textdistance: Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.",life4,2023-02-28,2017-05-05,304,10.069483568075118,"['distance', 'algorithm', 'python', 'textdistance', 'hamming-distance', 'levenshtein-distance', 'damerau-levenshtein', 'damerau-levenshtein-distance', 'algorithms', 'distance-calculation', 'jellyfish', 'diff', 'levenshtein']",2022-09-18,13,5,0.79,0,0,71,6,3,2,3,0.0,0.0,90.0,0.0,36.41447
+592,gis,https://github.com/matplotlib/basemap,,,,matplotlib/basemap,basemap,712,395,60,Python,,basemap: Plot on map projections (with coastlines and political boundaries) using matplotlib,matplotlib,2023-03-04,2011-02-19,628,1.1335001137138958,"['gis', 'maps', 'plots']",2022-11-29,69,6,2.1,5,3,147,3,4,3,4,5.0,18.0,90.0,3.6,36.41371
+508,data,https://github.com/facebookresearch/mephisto,,,,facebookresearch/mephisto,Mephisto,263,59,15,JavaScript,https://mephisto.ai/,Mephisto: A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use. ,facebookresearch,2023-02-19,2019-08-19,184,1.4227202472952087,[],2023-02-18,36,3,13.58,67,56,43,0,5,6,5,67.0,63.0,90.0,0.9,36.37465
+1000,finance,https://github.com/quantopian/pyfolio,,,,quantopian/pyfolio,pyfolio,4845,1553,306,Jupyter Notebook,https://quantopian.github.io/pyfolio,pyfolio: Portfolio and risk analytics in Python,quantopian,2023-03-05,2015-06-01,404,11.967184191954834,[],2020-07-15,56,3,0.0,3,1,94,37,0,2,2,3.0,1.0,90.0,0.3,36.32639
+984,template,https://github.com/janetech-inc/fast-api-admin-template,,,,janetech-inc/fast-api-admin-template,fast-api-admin-template,96,10,3,JavaScript,,fast-api-admin-template:  A test driven micro-service template to build and deploy a fast-api service with admin feature.,janetech-inc,2023-03-04,2023-02-15,2,37.333333333333336,[],2023-03-01,1,1,0.25,11,0,1,0,0,0,0,11.0,0.0,90.0,0.0,36.30454
+541,util,https://github.com/pdoc3/pdoc,,,,pdoc3/pdoc,pdoc,942,136,8,Python,https://pdoc3.github.io/pdoc/,pdoc:  :snake: :arrow_right: :scroll:  Auto-generate API documentation for Python projects,pdoc3,2023-02-27,2019-01-02,217,4.3296126066973075,"['documentation', 'generator', 'documentation-generator', 'documentation-tool', 'documentation-dumper', 'api-documentation', 'python', 'python3', 'docs', 'docs-generator', 'docstrings', 'docstring', 'docstring-documentation', 'pdoc', 'hacktoberfest']",2022-12-21,58,3,0.1,9,2,51,2,0,11,11,9.0,5.0,90.0,0.6,36.28003
+975,ml,https://github.com/tanelp/tiny-diffusion,,,,tanelp/tiny-diffusion,tiny-diffusion,357,25,7,Jupyter Notebook,,tiny-diffusion: A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.,tanelp,2023-03-03,2023-01-13,7,49.0,[],2023-02-19,1,0,0.06,2,1,2,0,0,0,0,2.0,0.0,90.0,0.0,36.25654
+911,ml,https://github.com/cvxgrp/pymde,,,,cvxgrp/pymde,pymde,465,26,9,Python,https://pymde.org,pymde: Minimum-distortion embedding with PyTorch,cvxgrp,2023-02-19,2020-11-29,118,3.940677966101695,"['embedding', 'visualization', 'feature-vectors', 'machine-learning', 'dimensionality-reduction', 'graph-embedding', 'pytorch', 'cuda', 'gpu']",2022-11-20,10,7,0.25,4,1,28,3,3,8,3,4.0,10.0,90.0,2.5,36.10599
+191,ml,https://github.com/awslabs/dgl-ke,,,,awslabs/dgl-ke,dgl-ke,1078,183,23,Python,https://dglke.dgl.ai/doc/,"dgl-ke: High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.",awslabs,2023-03-03,2020-03-03,156,6.878760255241568,"['machine-learning', 'knowledge-graph', 'knowledge-graphs-embeddings', 'graph-learning', 'dgl']",2022-11-18,25,5,0.06,8,2,37,4,0,1,1,8.0,6.0,90.0,0.8,36.08644
+233,crypto,https://github.com/ethereum/py-evm,,,,ethereum/py-evm,py-evm,1933,578,97,Python,https://py-evm.readthedocs.io/en/latest/,py-evm: A Python implementation of the Ethereum Virtual Machine,ethereum,2023-03-03,2016-12-27,322,5.989818503762727,"['evm', 'ethereum', 'python', 'ethereum-virtual-machine']",2022-12-16,80,2,0.58,6,1,75,3,0,17,17,6.0,0.0,90.0,0.0,36.04289
+717,gis,https://github.com/weecology/deepforest,,,,weecology/deepforest,DeepForest,341,132,15,JavaScript,https://deepforest.readthedocs.io/,DeepForest: Python Package for Tree Crown Detection in Airborne RGB imagery,weecology,2023-03-04,2018-03-07,260,1.3086622807017543,[],2023-02-22,11,5,0.44,31,10,61,0,0,13,13,31.0,71.0,90.0,2.3,36.00837
+629,util,https://github.com/pyca/bcrypt,,,,pyca/bcrypt,bcrypt,978,136,28,Python,,bcrypt: Modern(-ish) password hashing for your software and your servers,pyca,2023-03-03,2013-05-11,512,1.909623430962343,['python'],2023-02-27,31,4,3.33,57,57,119,0,0,2,2,57.0,21.0,90.0,0.4,35.98399
+219,template,https://github.com/tezromach/python-package-template,1.0,,,tezromach/python-package-template,python-package-template,927,92,6,Python,,python-package-template: 🚀 Your next Python package needs a bleeding-edge project structure.,tezromach,2023-03-04,2020-04-15,150,6.156546489563567,"['python', 'cookiecutter', 'best-practices', 'semantic-versions', 'python-packages', 'codestyle', 'formatters', 'makefile', 'poetry', 'template']",2022-05-18,13,2,0.02,103,74,35,10,0,8,8,103.0,74.0,90.0,0.7,35.809
+825,gis,https://github.com/datasystemslab/geotorch,,,,datasystemslab/geotorch,GeoTorchAI,309,21,9,Python,https://kanchanchy.github.io/geotorchai/,GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036),datasystemslab,2023-03-03,2022-05-23,40,7.562937062937063,"['classification-model', 'convlstm-pytorch', 'deep-learning', 'deep-neural-networks', 'deepsat', 'prediction-model', 'raster-data', 'satellite-images', 'segmentation-models', 'sequence-models', 'spatial-data-analysis', 'spatio-temporal-analysis', 'spatio-temporal-models', 'spatio-temporal-prediction', 'st-resnet', 'satellite-classification']",2023-02-05,4,2,2.6,19,10,10,1,1,1,1,19.0,24.0,90.0,1.3,35.77317
+702,data,https://github.com/pyeve/cerberus,,,,pyeve/cerberus,cerberus,2943,230,48,Python,http://python-cerberus.org,"cerberus: Lightweight, extensible data validation library for Python",pyeve,2023-03-04,2012-10-10,542,5.424170616113744,"['python', 'data-validation']",2021-05-05,63,4,0.0,7,2,127,22,0,2,2,7.0,9.0,90.0,1.3,35.77252
+898,gis,https://github.com/amazon-science/earth-forecasting-transformer,,,,amazon-science/earth-forecasting-transformer,earth-forecasting-transformer,176,30,10,Jupyter Notebook,,earth-forecasting-transformer: Official implementation of Earthformer,amazon-science,2023-03-03,2022-09-12,24,7.080459770114943,[],2023-02-03,6,5,0.77,9,7,6,1,0,0,0,9.0,17.0,90.0,1.9,35.67581
+149,data,https://github.com/simple-salesforce/simple-salesforce,,,,simple-salesforce/simple-salesforce,simple-salesforce,1402,615,89,Python,,simple-salesforce: A very simple Salesforce.com REST API client for Python,simple-salesforce,2023-02-28,2013-01-17,528,2.653149499864828,"['salesforce', 'api', 'api-client', 'python']",2023-01-18,75,3,0.21,55,29,123,2,4,4,4,55.0,35.0,90.0,0.6,35.60143
+111,ml,https://github.com/teamhg-memex/eli5,,,,teamhg-memex/eli5,eli5,2651,326,70,Jupyter Notebook,http://eli5.readthedocs.io,eli5: A library for debugging/inspecting machine learning classifiers and explaining their predictions,teamhg-memex,2023-03-04,2016-09-15,337,7.856477561388654,"['scikit-learn', 'machine-learning', 'xgboost', 'lightgbm', 'crfsuite', 'inspection', 'explanation', 'nlp', 'data-science', 'python']",2020-01-22,14,6,0.0,1,0,79,38,0,4,4,1.0,1.0,90.0,1.0,35.43505
+275,crypto,https://github.com/ethtx/ethtx,,,,ethtx/ethtx,ethtx,405,64,16,Python,https://www.ethtx.info,ethtx: Python package with core transaction decoding functions.,ethtx,2023-03-04,2021-06-28,87,4.609756097560975,[],2022-12-01,6,2,0.98,2,1,20,3,11,22,11,2.0,6.0,90.0,3.0,35.4269
+299,util,https://github.com/julienpalard/pipe,,,,julienpalard/pipe,Pipe,1598,103,27,Python,,Pipe: A Python library to use infix notation in Python,julienpalard,2023-02-27,2010-04-08,673,2.3729316928298685,[],2022-11-16,25,5,0.29,4,2,157,4,1,0,1,4.0,15.0,90.0,3.8,35.41964
+593,gis,https://github.com/geopython/owslib,,,,geopython/owslib,OWSLib,322,262,30,Python,https://geopython.github.io/OWSLib,"OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.",geopython,2023-02-27,2012-01-13,581,0.5539444580978127,[],2023-02-24,140,6,1.13,29,15,136,0,6,7,6,29.0,37.0,90.0,1.3,35.36832
+711,gis,https://github.com/mcordts/cityscapesscripts,,,,mcordts/cityscapesscripts,cityscapesScripts,1874,578,45,Python,,cityscapesScripts: README and scripts for the Cityscapes Dataset,mcordts,2023-02-25,2016-02-20,367,5.104280155642023,[],2022-10-22,17,4,0.02,12,6,86,4,0,0,0,12.0,19.0,90.0,1.6,35.35661
+956,util,https://github.com/cqcl/tket,,,,cqcl/tket,tket,167,30,14,C++,,"tket: Source code for the TKET quantum compiler, Python bindings and utilities",cqcl,2023-03-03,2021-09-13,76,2.1728624535315983,"['quantum-computing', 'compiler']",2023-02-28,22,2,7.25,109,93,18,0,47,57,47,109.0,54.0,90.0,0.5,35.3488
+712,ml-ops,https://github.com/unionai-oss/unionml,,,,unionai-oss/unionml,unionml,266,37,4,Python,https://www.union.ai/unionml,UnionML: the easiest way to build and deploy machine learning microservices,unionai-oss,2023-03-04,2021-11-17,67,3.936575052854123,"['machine-learning', 'mlops', 'hacktoberfest']",2022-12-21,15,5,4.4,18,2,16,2,18,14,18,18.0,6.0,90.0,0.3,35.18748
+174,util,https://github.com/liiight/notifiers,,,,liiight/notifiers,notifiers,2397,93,33,Python,http://notifiers.readthedocs.io/,notifiers: The easy way to send notifications,liiight,2023-03-03,2017-06-01,300,7.978601997146933,"['python', 'notifications', 'notifier', 'notification-service', 'python3', 'pypi']",2022-07-14,19,2,0.29,5,1,70,8,0,5,5,5.0,2.0,90.0,0.4,35.1873
+968,ml,https://github.com/keras-rl/keras-rl,,,,keras-rl/keras-rl,keras-rl,5380,1360,211,Python,http://keras-rl.readthedocs.io/,keras-rl: Deep Reinforcement Learning for Keras.,keras-rl,2023-03-02,2016-07-02,348,15.453426343865408,"['keras', 'tensorflow', 'theano', 'reinforcement-learning', 'neural-networks', 'machine-learning']",2019-11-11,41,1,0.0,2,2,81,40,0,1,1,2.0,1.0,90.0,0.5,35.17948
+590,template,https://github.com/buuntu/fastapi-react,,,,buuntu/fastapi-react,fastapi-react,1528,259,37,Python,,"fastapi-react: 🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker",buuntu,2023-03-04,2020-03-21,154,9.912882298424467,"['fastapi', 'postgres', 'cookiecutter', 'react', 'react-admin', 'nginx', 'boilerplate', 'full-stack', 'typescript', 'sqlalchemy', 'jwt', 'oauth2', 'docker']",2022-02-18,13,5,0.0,4,2,36,13,0,1,1,4.0,2.0,90.0,0.5,35.10223
+446,gis,https://github.com/pysal/spopt,,,,pysal/spopt,spopt,187,34,13,Python,https://pysal.org/spopt/,spopt: Spatial Optimization,pysal,2023-02-13,2019-03-01,209,0.8935153583617748,"['spatial-optimization', 'regionalization', 'facility-location', 'routing', 'transportation', 'spatial-analysis', 'location-allocation', 'location-modeling', 'resource-planning', 'python']",2023-03-02,17,4,6.58,56,47,49,0,6,4,6,56.0,82.0,90.0,1.5,34.98435
+838,util,https://github.com/carlospuenteg/file-injector,,,,carlospuenteg/file-injector,File-Injector,397,19,7,Python,,File-Injector: File Injector is a script that allows you to store any file in an image using steganography,carlospuenteg,2023-03-04,2022-10-22,19,20.738805970149254,"['image', 'image-manipulation', 'image-processing', 'noise', 'numpy', 'photography', 'python', 'python3', 'file', 'files', 'extraction', 'injection', 'storage', 'steganography', 'file-injection', 'file-injector']",2022-11-18,1,0,0.77,1,0,4,4,13,40,13,1.0,1.0,90.0,1.0,34.84104
+475,viz,https://github.com/holoviz/holoviz,1.0,,,holoviz/holoviz,holoviz,661,116,35,Python,https://holoviz.org/,holoviz: High-level tools to simplify visualization in Python.,holoviz,2023-03-01,2017-09-22,284,2.3251256281407033,"['holoviz', 'holoviews', 'geoviews', 'datashader', 'panel', 'hvplot', 'colorcet']",2023-01-30,21,2,0.71,19,16,66,1,0,15,15,19.0,24.0,90.0,1.3,34.82351
+32,nlp,https://github.com/jamesturk/jellyfish,,,,jamesturk/jellyfish,jellyfish,1799,152,42,Python,https://jamesturk.github.io/jellyfish/,jellyfish: 🪼 a python library for doing approximate and phonetic matching of strings.,jamesturk,2023-03-03,2010-07-09,660,2.724578104716573,"['python', 'levenshtein', 'soundex', 'hamming', 'metaphone', 'jaro-winkler', 'fuzzy-search', 'hacktoberfest']",2023-02-03,28,7,0.35,4,4,154,1,0,2,2,4.0,2.0,90.0,0.5,34.72997
+254,ml,https://github.com/amzn/pecos,,,,amzn/pecos,pecos,403,89,21,Python,https://libpecos.org/,PECOS - Prediction for Enormous and Correlated Spaces,amzn,2023-02-28,2020-08-12,133,3.0171122994652406,"['machine-learning-algorithms', 'extreme-multi-label-classification', 'extreme-multi-label-ranking', 'transformers', 'approximate-nearest-neighbor-search']",2023-02-28,25,3,1.1,49,45,31,0,3,3,3,49.0,18.0,90.0,0.4,34.71854
+805,web,https://github.com/flipkart-incubator/astra,,,,flipkart-incubator/astra,Astra,2184,361,85,Python,,Astra: Automated Security Testing For REST API's,flipkart-incubator,2023-03-03,2018-01-10,268,8.13191489361702,"['security', 'restapiautomation', 'python', 'owasp', 'penetration-testing-framework', 'postman-collection', 'ci-cd', 'sdlc', 'penetration-testing', 'security-automation']",2023-02-16,12,3,0.02,7,0,63,1,0,0,0,7.0,3.0,90.0,0.4,34.66264
+861,ml-ops,https://github.com/astronomer/airflow-chart,,,,astronomer/airflow-chart,airflow-chart,248,89,44,Python,,airflow-chart: A Helm chart to install Apache Airflow on Kubernetes,astronomer,2023-03-02,2020-01-22,162,1.5254833040421794,"['helm-chart', 'airflow', 'apache-airflow', 'kubernetes']",2023-03-02,48,3,1.9,35,34,38,0,17,29,17,35.0,24.0,90.0,0.7,34.65679
+484,gis,https://github.com/sentinelsat/sentinelsat,,,,sentinelsat/sentinelsat,sentinelsat,850,230,60,Python,https://sentinelsat.readthedocs.io,sentinelsat: Search and download Copernicus Sentinel satellite images,sentinelsat,2023-03-04,2015-05-22,406,2.092123769338959,"['sentinel', 'copernicus', 'esa', 'remote-sensing', 'satellite-imagery', 'geographic-data', 'open-data', 'hacktoberfest']",2022-11-03,42,4,0.13,9,2,95,4,0,3,3,9.0,26.0,90.0,2.9,34.64019
+571,gis,https://github.com/developmentseed/geojson-pydantic,,,,developmentseed/geojson-pydantic,geojson-pydantic,126,28,11,Python,,geojson-pydantic: Pydantic data models for the GeoJSON spec,developmentseed,2023-03-03,2020-05-21,145,0.8664047151277013,"['geojson', 'pydantic', 'geojson-spec']",2023-03-01,19,6,1.5,25,20,34,0,0,5,5,25.0,66.0,90.0,2.6,34.62991
+1007,finance,https://github.com/cuemacro/finmarketpy,,,,cuemacro/finmarketpy,finmarketpy,3065,482,217,Python,http://www.cuemacro.com,finmarketpy: Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians),cuemacro,2023-03-02,2015-02-19,419,7.307561307901907,"['python', 'trading-strategies', 'backtesting-trading-strategies']",2022-12-20,14,1,0.04,1,0,98,2,0,2,2,1.0,1.0,90.0,1.0,34.5398
+467,math,https://github.com/lukaszahradnik/pyneuralogic,,,,lukaszahradnik/pyneuralogic,PyNeuraLogic,216,18,5,Python,https://pyneuralogic.readthedocs.io/,PyNeuraLogic lets you use Python to create Differentiable Logic Programs,lukaszahradnik,2023-02-25,2020-12-06,117,1.8461538461538463,"['machine-learning', 'deep-learning', 'graph-neural-networks', 'relational-learning', 'python', 'geometric-deep-learning', 'pytorch', 'logic-programming', 'differentiable-programming']",2023-03-03,3,2,5.98,5,4,27,0,17,18,17,5.0,15.0,90.0,3.0,34.53826
+624,viz,https://github.com/enthought/mayavi,,,,enthought/mayavi,mayavi,1088,265,97,Python,http://docs.enthought.com/mayavi/mayavi/,mayavi: 3D visualization of scientific data in Python,enthought,2023-03-01,2011-01-24,631,1.721908207099254,[],2022-10-18,93,6,0.96,23,4,147,5,0,3,3,23.0,28.0,90.0,1.2,34.52375
+754,ml-dl,https://github.com/samuela/git-re-basin,,,,samuela/git-re-basin,git-re-basin,378,33,5,Python,https://arxiv.org/abs/2209.04836,"git-re-basin: Code release for ""Git Re-Basin: Merging Models modulo Permutation Symmetries""",samuela,2023-03-03,2022-09-13,24,15.294797687861271,"['deep-learning', 'deeplearning', 'jax', 'machine-learning', 'neural-networks']",2023-03-01,1,0,0.54,5,1,6,0,0,0,0,5.0,11.0,90.0,2.2,34.46003
+739,data,https://github.com/koaning/human-learn,,,,koaning/human-learn,human-learn,682,55,13,Jupyter Notebook,https://koaning.github.io/human-learn/,human-learn: Natural Intelligence is still a pretty good idea.,koaning,2023-02-28,2020-07-11,138,4.936918304033092,"['scikit-learn', 'machine-learning', 'benchmark']",2023-02-23,5,3,0.06,5,2,32,0,0,0,0,5.0,11.0,90.0,2.2,34.45193
+1038,finance,https://github.com/gerrymanoim/exchange_calendars,,,,gerrymanoim/exchange_calendars,exchange_calendars,235,78,14,Python,,exchange_calendars: Calendars for various securities exchanges.,gerrymanoim,2023-02-25,2020-10-30,122,1.9217289719626167,[],2023-02-14,87,2,1.94,26,22,28,1,14,26,14,26.0,28.0,90.0,1.1,34.42033
+1016,finance,https://github.com/gbeced/pyalgotrade,,,,gbeced/pyalgotrade,pyalgotrade,3915,1333,353,Python,http://gbeced.github.io/pyalgotrade/,pyalgotrade: Python Algorithmic Trading Library,gbeced,2023-03-05,2012-03-07,573,6.825653798256538,[],2023-03-05,11,2,0.02,1,0,134,0,0,2,2,1.0,0.0,90.0,0.0,34.31243
+486,gis,https://github.com/earthlab/earthpy,,,,earthlab/earthpy,earthpy,422,151,21,Python,https://earthpy.readthedocs.io,earthpy: A package built to support working with spatial data using open source python,earthlab,2023-03-03,2018-02-20,262,1.6063077759651985,"['spatial-data', 'raster', 'vector', 'python', 'education']",2021-12-20,43,8,0.0,58,51,61,15,0,7,7,58.0,103.0,90.0,1.8,34.31196
+395,web,https://github.com/emmett-framework/emmett,,,,emmett-framework/emmett,emmett,829,62,31,Python,,emmett: The web framework for inventors,emmett-framework,2023-02-24,2014-10-20,436,1.8976455199476783,"['python', 'web-framework', 'asgi', 'asyncio', 'emmett']",2023-01-30,22,4,0.9,6,5,102,1,11,13,11,6.0,5.0,90.0,0.8,34.25993
+358,data,https://github.com/hyperqueryhq/whale,,,,hyperqueryhq/whale,whale,718,38,41,Python,https://rsyi.gitbook.io/whale,whale: 🐳 The stupidly simple CLI workspace for your data warehouse.,hyperqueryhq,2023-02-26,2020-05-27,144,4.966403162055336,"['data-documentation', 'data-catalog', 'data-discovery']",2022-10-13,17,6,0.13,4,2,34,5,0,9,9,4.0,1.0,90.0,0.2,34.20688
+492,gis,https://github.com/cogeotiff/rio-tiler,,,,cogeotiff/rio-tiler,rio-tiler,382,86,66,Python,https://cogeotiff.github.io/rio-tiler/,rio-tiler: User friendly Rasterio plugin to read raster datasets.,cogeotiff,2023-03-01,2017-10-06,282,1.3532388663967612,"['satellite', 'cog', 'cogeotiff', 'maptile', 'raster-processing', 'mercator', 'tile', 'slippy-map', 'gdal', 'rasterio', 'raster']",2023-02-28,21,6,1.17,20,16,66,0,0,22,22,20.0,8.0,90.0,0.4,34.19375
+850,data,https://github.com/eliasdabbas/advertools,,,,eliasdabbas/advertools,advertools,776,164,33,Python,https://advertools.readthedocs.io,advertools - online marketing productivity and analysis tools,eliasdabbas,2023-03-02,2017-05-14,303,2.561056105610561,"['marketing', 'advertising', 'adwords', 'python', 'digital-marketing', 'online-marketing', 'keywords', 'search-engine-marketing', 'twitter-api', 'search-engine-optimization', 'seo', 'serp', 'social-media', 'youtube', 'robots-txt', 'scrapy', 'seo-crawler', 'log-analysis', 'google-ads', 'logfile-parser']",2022-12-13,7,3,1.13,22,17,71,3,0,6,6,22.0,34.0,90.0,1.5,34.18801
+814,util,https://github.com/aws-samples/sagemaker-ssh-helper,,,,aws-samples/sagemaker-ssh-helper,sagemaker-ssh-helper,81,10,6,Python,,sagemaker-ssh-helper: A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH,aws-samples,2023-02-27,2022-10-14,20,3.992957746478873,"['amazon-sagemaker', 'aws', 'aws-systems-manager', 'machine-learning', 'pycharm', 'sagemaker', 'sagemaker-studio', 'ssh', 'vscode']",2023-02-27,4,2,1.33,13,12,5,0,6,15,6,13.0,26.0,90.0,2.0,34.12349
+594,gis,https://github.com/uber/h3-py,,,,uber/h3-py,h3-py,628,115,36,Python,https://uber.github.io/h3-py,"h3-py: Python bindings for H3, a hierarchical hexagonal geospatial indexing system",uber,2023-03-01,2018-06-12,246,2.5454545454545454,"['uber', 'python', 'hexagonal-architecture', 'h3', 'geospatial', 'geocoding', 'gis']",2022-11-24,16,5,0.46,13,2,58,3,4,4,4,13.0,21.0,90.0,1.6,34.00732
+359,ml-ops,https://github.com/google/ml-metadata,,,,google/ml-metadata,ml-metadata,520,118,29,C++,https://www.tensorflow.org/tfx/guide/mlmd,ml-metadata: For recording and retrieving metadata associated with ML developer and data scientist workflows.,google,2023-02-24,2019-01-15,215,2.410596026490066,[],2023-03-02,15,3,0.54,6,3,50,0,5,8,5,6.0,8.0,90.0,1.3,34.00117
+1024,debug,https://github.com/shobrook/rebound,,,,shobrook/rebound,rebound,3998,383,77,Python,,rebound: Command-line tool that instantly fetches Stack Overflow results when an exception is thrown,shobrook,2023-03-04,2018-02-28,261,15.284543965046423,"['stackoverflow', 'command-line-tool', 'python', 'terminal-app', 'command-line-interface', 'error-messages']",2022-02-16,16,2,0.0,0,0,61,13,0,1,1,0.0,0.0,90.0,0.0,33.98939
+292,util,https://github.com/fastai/ghapi,,,,fastai/ghapi,ghapi,436,44,8,Jupyter Notebook,https://ghapi.fast.ai/,ghapi: A delightful and complete interface to GitHub's amazing API,fastai,2023-02-24,2020-11-21,119,3.65947242206235,"['github-api', 'github', 'nbdev', 'openapi', 'api-client']",2022-09-27,16,7,1.06,2,0,28,5,6,8,6,2.0,2.0,90.0,1.0,33.91995
+794,graph,https://github.com/westhealth/pyvis,,,,westhealth/pyvis,pyvis,616,115,15,HTML,http://pyvis.readthedocs.io/en/latest/,pyvis: Python package for creating and visualizing interactive network graphs.,westhealth,2023-03-04,2018-05-10,251,2.45,"['network-visualization', 'python', 'networkx']",2023-02-10,32,4,0.69,34,5,59,1,3,1,3,34.0,25.0,90.0,0.7,33.78698
+835,gis,https://github.com/perrygeo/python-rasterstats,,,,perrygeo/python-rasterstats,python-rasterstats,447,108,33,Python,,python-rasterstats: Summary statistics of geospatial raster datasets based on vector geometries.,perrygeo,2023-03-03,2013-09-18,493,0.9056439942112879,[],2023-03-01,30,7,0.44,33,24,115,0,2,2,2,33.0,36.0,90.0,1.1,33.67267
+612,testing,https://github.com/teemu/pytest-sugar,,,,teemu/pytest-sugar,pytest-sugar,998,68,17,Python,,"pytest-sugar: a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)",teemu,2023-02-23,2013-06-25,505,1.9734463276836158,"['pytest', 'pytest-sugar', 'python', 'testing', 'pytest-plugin']",2022-12-11,45,6,0.79,5,2,118,3,0,1,1,5.0,8.0,90.0,1.6,33.65222
+856,jupyter,https://github.com/jupyter/nbformat,,,,jupyter/nbformat,nbformat,204,144,26,Python,http://nbformat.readthedocs.io/,nbformat: Reference implementation of the Jupyter Notebook format,jupyter,2023-02-11,2015-04-09,412,0.49463110495323864,[],2023-03-01,74,7,3.44,23,17,96,0,12,4,12,23.0,6.0,90.0,0.3,33.57776
+885,study,https://github.com/amaargiru/pyroad,,,,amaargiru/pyroad,pyroad,248,27,5,Jupyter Notebook,,pyroad: Detailed Python developer roadmap,amaargiru,2023-03-01,2022-11-03,17,14.229508196721312,"['python', 'roadmap', 'tutorial']",2023-02-27,1,1,1.12,1,1,4,0,0,0,0,1.0,1.0,90.0,1.0,33.4923
+635,util,https://github.com/samuelcolvin/python-devtools,,,,samuelcolvin/python-devtools,python-devtools,656,33,8,Python,https://python-devtools.helpmanual.io/,python-devtools: Dev tools for python,samuelcolvin,2023-02-27,2017-08-20,289,2.2698961937716264,"['python-devtools', 'python', 'devtools']",2023-02-06,11,3,0.31,3,1,67,1,2,3,2,3.0,10.0,90.0,3.3,33.41664
+620,util,https://github.com/pytoolz/cytoolz,,,,pytoolz/cytoolz,cytoolz,907,66,23,Python,,cytoolz: Cython implementation of Toolz: High performance functional utilities,pytoolz,2023-02-27,2014-04-04,465,1.949339883328216,[],2022-12-19,20,5,0.56,8,7,108,2,2,2,2,8.0,11.0,90.0,1.4,33.37384
+505,gis,https://github.com/scikit-mobility/scikit-mobility,,,,scikit-mobility/scikit-mobility,scikit-mobility,597,139,28,Python,https://scikit-mobility.github.io/scikit-mobility/,scikit-mobility: mobility analysis in Python,scikit-mobility,2023-03-02,2019-04-30,200,2.974377224199288,"['data-science', 'data-analysis', 'human-mobility', 'complex-systems', 'network-science', 'statistics', 'scikit-mobility', 'mobility-analysis', 'risk-assessment', 'mobility-flows', 'synthetic-flows']",2023-01-20,23,3,1.1,50,36,47,1,1,2,1,50.0,32.0,90.0,0.6,33.34244
+830,pandas,https://github.com/blaze/blaze,,,,blaze/blaze,blaze,3126,388,199,Python,blaze.pydata.org,blaze: NumPy and Pandas interface to Big Data,blaze,2023-03-01,2012-10-26,540,5.785827604442094,[],2019-08-15,65,7,0.0,1,1,126,43,0,5,5,1.0,0.0,90.0,0.0,33.34212
+601,testing,https://github.com/newsapps/beeswithmachineguns,,,,newsapps/beeswithmachineguns,beeswithmachineguns,6293,664,227,Python,http://apps.chicagotribune.com/,beeswithmachineguns: A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).,newsapps,2023-02-27,2010-06-29,661,9.510146804835925,[],2017-12-20,49,8,0.0,1,1,154,63,0,0,0,1.0,0.0,90.0,0.0,33.33213
+994,time-series,https://github.com/microprediction/microprediction,,,,microprediction/microprediction,microprediction,239,39,13,Jupyter Notebook,http://www.microprediction.org,"microprediction: If you can measure it, consider it predicted",microprediction,2023-03-04,2020-02-20,158,1.5085662759242562,"['nowcasting', 'timeseries-forecasting', 'time-series', 'timeseries-analysis', 'timeseries', 'timeseries-database', 'timeseries-data', 'timeseries-prediction', 'timeseries-clustering', 'fbprophet', 'pmdarima', 'tsfresh', 'hmmlearn', 'kalman-filter', 'tslearn', 'filterpy', 'online-algorithms', 'keras']",2023-03-04,14,3,19.98,8,3,37,0,59,45,59,8.0,3.0,90.0,0.4,33.29589
+391,data,https://github.com/mchong6/jojogan,,,,mchong6/jojogan,JoJoGAN,1303,196,25,Jupyter Notebook,,Official PyTorch repo for JoJoGAN: One Shot Face Stylization,mchong6,2023-03-03,2021-12-17,63,20.58916478555305,"['image-translation', 'gans', 'anime']",2022-02-05,3,1,0.0,7,1,15,13,0,0,0,7.0,4.0,90.0,0.6,33.26338
+633,debug,https://github.com/alexmojaki/birdseye,,,,alexmojaki/birdseye,birdseye,1542,77,42,JavaScript,https://birdseye.readthedocs.io,birdseye: Graphical Python debugger which lets you easily view the values of all evaluated expressions,alexmojaki,2023-03-03,2017-07-22,293,5.260233918128655,"['python-debugger', 'python', 'debugger', 'debugging', 'birdseye', 'ast']",2022-05-18,10,4,0.02,1,0,68,10,0,1,1,1.0,2.0,90.0,2.0,33.2363
+491,gis,https://github.com/cogeotiff/rio-cogeo,,,,cogeotiff/rio-cogeo,rio-cogeo,219,30,44,Python,https://cogeotiff.github.io/rio-cogeo/,rio-cogeo: Cloud Optimized GeoTIFF creation and validation plugin for rasterio,cogeotiff,2023-03-03,2018-03-09,260,0.8413830954994511,"['satellite', 'cog', 'geotiff', 'rasterio', 'cogeotiff']",2022-10-26,13,7,0.52,3,1,61,4,0,12,12,3.0,14.0,90.0,4.7,33.17935
+937,data,https://github.com/scylladb/python-driver,,,,scylladb/python-driver,python-driver,38,27,6,Python,https://python-driver.docs.scylladb.com,"python-driver: ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra",scylladb,2023-02-02,2018-11-20,223,0.1698595146871009,"['scylladb', 'python']",2023-02-15,204,7,1.75,26,14,52,1,0,26,26,26.0,47.0,90.0,1.8,33.16708
+789,sim,https://github.com/viblo/pymunk,1.0,,,viblo/pymunk,pymunk,761,179,22,Python,http://www.pymunk.org,Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python,viblo,2023-03-02,2013-10-02,491,1.5480964835803546,"['python', 'physics-2d', 'library', 'pygame', 'pyglet', 'physics-engine', 'physics-simulation', 'python-library']",2023-01-29,17,4,1.33,9,6,115,1,2,3,2,9.0,14.0,90.0,1.6,33.04895
+773,sim,https://github.com/activitysim/activitysim,,,,activitysim/activitysim,activitysim,152,87,42,Jupyter Notebook,https://activitysim.github.io,activitysim: An Open Platform for Activity-Based Travel Modeling,activitysim,2023-02-26,2014-06-18,454,0.3343808925204274,"['python', 'travel-modeling', 'data-science', 'bsd-3-clause', 'microsimulation', 'activitysim']",2023-01-31,31,5,14.56,58,37,106,1,5,2,5,58.0,57.0,90.0,1.0,33.03973
+490,viz,https://github.com/luispedro/mahotas,,,,luispedro/mahotas,mahotas,796,151,48,Python,https://mahotas.rtfd.io,mahotas: Computer Vision in Python,luispedro,2023-02-23,2010-01-31,683,1.165446559297218,"['computer-vision', 'numpy', 'python', 'c-plus-plus', 'python-2', 'python-3']",2023-02-26,33,5,0.17,6,2,159,0,1,4,1,6.0,13.0,90.0,2.2,33.01937
+347,nlp,https://github.com/norskregnesentral/skweak,,,,norskregnesentral/skweak,skweak,865,70,27,Python,,skweak: A software toolkit for weak supervision applied to NLP tasks,norskregnesentral,2023-03-03,2021-03-16,102,8.421418636995828,"['weak-supervision', 'nlp-machine-learning', 'distant-supervision', 'nlp-library', 'spacy', 'python', 'data-science', 'training-data', 'natural-language-processing']",2022-11-08,11,5,0.35,2,1,24,4,1,1,1,2.0,0.0,90.0,0.0,32.94126
+655,template,https://github.com/sqlalchemy/mako,,,,sqlalchemy/mako,mako,246,46,11,Python,https://www.makotemplates.org,Mako Templates for Python,sqlalchemy,2023-03-03,2018-11-26,222,1.103846153846154,[],2023-01-03,59,6,0.54,5,3,52,2,5,15,5,5.0,11.0,90.0,2.2,32.93627
+726,gis,https://github.com/geospatialpython/pyshp,,,,geospatialpython/pyshp,pyshp,1008,260,64,Python,,pyshp: This library reads and writes ESRI Shapefiles in pure Python.,geospatialpython,2023-02-27,2014-03-04,469,2.145985401459854,[],2023-02-02,42,4,0.37,4,0,110,1,2,2,2,4.0,5.0,90.0,1.2,32.9293
+619,testing,https://github.com/wolever/parameterized,,,,wolever/parameterized,parameterized,724,95,18,Python,,Parameterized testing with any Python test framework,wolever,2023-03-02,2012-03-10,573,1.26321036889332,[],2023-03-02,30,5,0.35,32,24,134,0,0,1,1,32.0,29.0,90.0,0.9,32.92382
+478,ml-dl,https://github.com/tensorflow/mesh,,,,tensorflow/mesh,mesh,1375,241,47,Python,,Mesh TensorFlow: Model Parallelism Made Easier,tensorflow,2023-03-03,2018-09-20,232,5.91579594345421,[],2023-01-25,49,3,0.12,2,0,54,1,0,1,1,2.0,0.0,90.0,0.0,32.89039
+237,ml,https://github.com/salesforce/warp-drive,,,,salesforce/warp-drive,warp-drive,352,65,13,Python,,warp-drive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022),salesforce,2023-02-23,2021-08-25,79,4.423698384201077,"['reinforcement-learning', 'gpu', 'cuda', 'multiagent-reinforcement-learning', 'deep-learning', 'high-throughput', 'pytorch', 'numba']",2023-01-17,6,1,1.96,17,14,19,2,2,1,2,17.0,32.0,90.0,1.9,32.84523
+879,time-series,https://github.com/winedarksea/autots,,,,winedarksea/autots,AutoTS,681,65,14,Python,,AutoTS: Automated Time Series Forecasting,winedarksea,2023-03-04,2019-11-26,170,3.989121338912134,"['time-series', 'machine-learning', 'automl', 'autots', 'forecasting', 'deep-learning', 'preprocessing', 'feature-engineering']",2023-02-02,1,0,3.23,14,13,40,1,7,12,7,14.0,31.0,90.0,2.2,32.82194
+460,nlp,https://github.com/google-research/language,,,,google-research/language,language,1371,323,64,Python,https://ai.google/research/teams/language/,language: Shared repository for open-sourced projects from the Google AI Language team.,google-research,2023-03-03,2018-10-16,228,5.9943785134291065,"['natural-language-processing', 'machine-learning', 'research']",2023-02-23,10,3,0.1,5,1,53,0,0,0,0,5.0,1.0,90.0,0.2,32.76883
+847,util,https://github.com/wolph/python-progressbar,,,,wolph/python-progressbar,python-progressbar,806,95,22,Python,http://progressbar-2.readthedocs.org/en/latest/,"python-progressbar: Progressbar 2 - A progress bar for Python 2 and Python 3 - ""pip install progressbar2""",wolph,2023-02-27,2012-02-20,575,1.3996526916397916,"['python', 'progressbar', 'progress-bar', 'rate', 'eta', 'percentage', 'console', 'terminal', 'time', 'progress', 'bar', 'cli', 'gui', 'library']",2023-02-02,42,4,1.1,5,1,134,1,3,9,3,5.0,7.0,90.0,1.4,32.71323
+930,nlp,https://github.com/lucidrains/medical-chatgpt,,,,lucidrains/medical-chatgpt,medical-chatgpt,239,20,26,Python,,"medical-chatgpt: Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis",lucidrains,2023-03-01,2022-12-10,12,19.68235294117647,"['artificial-intelligence', 'attention-mechanisms', 'deep-learning', 'transformers', 'medicine']",2023-02-27,2,1,0.23,2,2,3,0,0,0,0,2.0,0.0,90.0,0.0,32.64396
+972,gis,https://github.com/microsoft/globalmlbuildingfootprints,,,,microsoft/globalmlbuildingfootprints,GlobalMLBuildingFootprints,754,94,31,Python,,GlobalMLBuildingFootprints: Worldwide building footprints derived from satellite imagery ,microsoft,2023-03-02,2022-04-22,45,16.649842271293377,[],2022-11-16,4,2,0.46,5,1,10,4,0,0,0,5.0,0.0,90.0,0.0,32.62216
+978,util,https://github.com/google/pyglove,1.0,,,google/pyglove,pyglove,222,8,7,Python,,pyglove: Manipulating Python Programs,google,2023-03-02,2022-05-12,42,5.232323232323233,"['automl', 'evolution', 'machine-learning', 'meta-learning', 'meta-programming', 'symbolic-programming', 'manipulation', 'python']",2023-02-08,5,2,2.21,25,21,10,1,3,5,3,25.0,11.0,90.0,0.4,32.60294
+605,util,https://github.com/pyscript/pyscript-cli,,,,pyscript/pyscript-cli,pyscript-cli,144,14,12,Python,,pyscript-cli: A CLI for PyScript,pyscript,2023-03-04,2022-05-01,44,3.272727272727273,[],2023-02-25,8,2,1.62,33,27,10,0,0,7,7,33.0,18.0,90.0,0.5,32.59535
+49,util,https://github.com/mozillazg/pypy,,,,mozillazg/pypy,pypy,370,60,11,Python,https://foss.heptapod.net/pypy/pypy,pypy: The unofficial GitHub mirror of PyPy,mozillazg,2023-03-04,2015-08-03,395,0.9346806207145435,"['pypy', 'github-mirror', 'unofficial', 'unofficial-mirror', 'read-only-repository', 'readonly']",2023-03-03,374,3,10.98,1,0,92,0,0,22,22,1.0,0.0,90.0,0.0,32.53095
+96,data,https://github.com/vi3k6i5/flashtext,,,,vi3k6i5/flashtext,flashtext,5362,599,139,Python,,flashtext: Extract Keywords from sentence or Replace keywords in sentences.,vi3k6i5,2023-03-01,2017-08-15,289,18.507889546351084,"['search-in-text', 'keyword-extraction', 'nlp', 'word2vec', 'data-extraction']",2020-05-03,7,1,0.0,3,0,68,34,0,0,0,3.0,1.0,90.0,0.3,32.51076
+585,gis,https://github.com/pysal/momepy,,,,pysal/momepy,momepy,364,48,16,Python,https://docs.momepy.org,momepy: Urban Morphology Measuring Toolkit,pysal,2023-02-21,2018-03-30,257,1.4147695724597447,"['urban', 'morphology', 'morphological-analysis', 'morphometrics', 'urban-morphometrics', 'urban-street-networks']",2023-02-28,11,2,1.0,27,14,60,0,2,3,2,27.0,67.0,90.0,2.5,32.48044
+341,term,https://github.com/jquast/blessed,,,,jquast/blessed,blessed,893,68,23,Python,http://pypi.python.org/pypi/blessed,"Blessed is an easy, practical library for making python terminal apps",jquast,2023-03-02,2014-03-01,470,1.8994226678821027,"['terminal', 'curses', 'cli']",2023-02-04,25,3,0.23,11,9,110,1,1,6,1,11.0,18.0,90.0,1.6,32.38024
+990,sim,https://github.com/espressomd/espresso,,,,espressomd/espresso,espresso,181,170,20,C++,https://espressomd.org,espresso: The ESPResSo package,espressomd,2023-03-03,2011-03-25,623,0.29039651615860645,"['c-plus-plus', 'scientific-computing', 'soft-matter', 'molecular-dynamics', 'lattice-boltzmann', 'physics', 'python']",2023-03-02,179,5,6.83,81,56,145,0,1,4,1,81.0,41.0,90.0,0.5,32.3046
+1012,finance,https://github.com/pmorissette/ffn,,,,pmorissette/ffn,ffn,1441,254,59,Python,pmorissette.github.io/ffn,ffn - a financial function library for Python,pmorissette,2023-02-28,2014-06-19,454,3.1710154039610186,[],2022-12-21,29,3,0.46,8,8,106,2,0,0,0,8.0,7.0,90.0,0.9,32.22123
+496,ml,https://github.com/linkedin/fasttreeshap,,,,linkedin/fasttreeshap,FastTreeSHAP,384,23,7,Python,,FastTreeSHAP: Fast SHAP value computation for interpreting tree-based models,linkedin,2023-02-24,2022-01-24,57,6.637037037037037,"['explainable-ai', 'interpretability', 'lightgbm', 'machine-learning', 'random-forest', 'shap', 'xgboost']",2022-11-29,3,1,0.15,5,2,13,3,2,3,2,5.0,12.0,90.0,2.4,32.0919
+743,perf,https://github.com/blosc/python-blosc,,,,blosc/python-blosc,python-blosc,329,75,14,Python,https://www.blosc.org/python-blosc/python-blosc.html,python-blosc: A Python wrapper for the extremely fast Blosc compression library ,blosc,2023-02-07,2010-09-30,648,0.5073804802820004,"['python', 'wrapper', 'blosc', 'compression']",2023-03-02,43,8,1.0,27,25,151,0,1,4,1,27.0,26.0,90.0,1.0,32.02361
+108,util,https://github.com/nficano/python-lambda,,,,nficano/python-lambda,python-lambda,1425,229,32,Python,,python-lambda:  A toolkit for developing and deploying serverless Python code in AWS Lambda. ,nficano,2023-03-03,2016-02-26,366,3.890405616224649,"['python', 'aws', 'aws-lambda', 'microservices', 'serverless']",2022-06-03,48,5,0.02,3,0,85,9,0,8,8,3.0,0.0,90.0,0.0,31.99569
+745,study,https://github.com/bayesianmodelingandcomputationinpython/bookcode_edition1,,,,bayesianmodelingandcomputationinpython/bookcode_edition1,BookCode_Edition1,382,93,18,Jupyter Notebook,https://www.bayesiancomputationbook.com,bayesianmodelingandcomputationinpython/bookcode_edition1,bayesianmodelingandcomputationinpython,2023-03-03,2021-08-17,80,4.732743362831858,[],2023-01-09,10,4,0.5,9,3,19,2,0,0,0,9.0,11.0,90.0,1.2,31.9876
+600,gis,https://github.com/plant99/felicette,,,,plant99/felicette,felicette,1796,85,39,Python,,felicette: Satellite imagery for dummies.,plant99,2023-03-01,2020-07-12,138,13.014492753623188,"['geospatial-data', 'gis', 'geospatial-visualization', 'geospatial', 'python', 'python3', 'geoinformatics', 'earth-observation', 'earth-science', 'satellite-imagery', 'satellite-images', 'satellite-data']",2021-09-08,6,3,0.0,0,0,32,18,0,2,2,0.0,0.0,90.0,0.0,31.84224
+77,jupyter,https://github.com/quantopian/qgrid,,,,quantopian/qgrid,qgrid,2946,419,88,Python,,"qgrid: An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks",quantopian,2023-03-01,2014-09-30,439,6.699805068226121,[],2020-04-07,30,2,0.0,8,1,103,35,0,3,3,8.0,3.0,90.0,0.4,31.79291
+1018,time-series,https://github.com/bashtage/arch,,,,bashtage/arch,arch,1072,229,42,Python,,ARCH models in Python,bashtage,2023-03-03,2014-08-29,444,2.412861736334405,"['arch', 'volatility', 'bootstrap', 'multiple-comparison-procedures', 'forecasting', 'risk', 'financial-econometrics', 'time-series', 'unit-root', 'dickey-fuller', 'adf', 'phillips-perron', 'df-gls', 'reality-check', 'spa', 'model-confidence-set', 'finance', 'variance']",2022-11-10,33,3,1.1,9,1,104,4,3,4,3,9.0,7.0,90.0,0.8,31.73275
+25,util,https://github.com/google/gin-config,,,,google/gin-config,gin-config,1768,113,24,Python,,gin-config: Gin provides a lightweight configuration framework for Python,google,2023-03-03,2018-06-27,244,7.228971962616822,"['python', 'configuration-management', 'tensorflow', 'tensorflow-experiments']",2022-12-05,23,2,0.1,5,1,57,3,0,0,0,5.0,1.0,90.0,0.2,31.69562
+631,util,https://github.com/pyca/pynacl,,,,pyca/pynacl,pynacl,945,220,27,C,https://pynacl.readthedocs.io/,pynacl: Python binding to the Networking and Cryptography (NaCl) library,pyca,2023-02-28,2013-02-22,523,1.805896805896806,"['cryptography', 'libsodium', 'nacl', 'python']",2023-01-19,64,2,0.35,13,10,122,1,0,2,2,13.0,10.0,90.0,0.8,31.55488
+1010,study,https://github.com/cerlymarco/medium_notebook,,,,cerlymarco/medium_notebook,MEDIUM_NoteBook,1738,910,97,Jupyter Notebook,,MEDIUM_NoteBook: Repository containing notebooks of my posts on Medium,cerlymarco,2023-03-03,2019-04-22,201,8.610049539985846,"['notebooks', 'machine-learning', 'deep-learning', 'artificial-intelligence', 'data-science']",2023-02-22,1,0,1.19,4,3,47,0,0,0,0,4.0,3.0,90.0,0.8,31.52867
+833,typing,https://github.com/jellezijlstra/autotyping,,,,jellezijlstra/autotyping,autotyping,126,9,4,Python,,jellezijlstra/autotyping,jellezijlstra,2023-03-04,2021-06-25,88,1.4271844660194175,[],2023-03-03,7,5,0.35,16,15,21,0,3,2,3,16.0,29.0,90.0,1.8,31.46995
+880,time-series,https://github.com/autoviml/auto_ts,,,,autoviml/auto_ts,Auto_TS,550,97,17,Jupyter Notebook,,"Auto_TS: Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.",autoviml,2023-03-04,2020-02-15,159,3.4560143626570916,"['time-series', 'time-series-analysis', 'auto-timeseries', 'automl', 'autosklearn', 'tpot', 'autokeras', 'python3', 'prophet', 'python', 'sklearn', 'arima', 'auto-arima', 'auto-sklearn']",2023-02-22,8,2,0.23,11,8,37,0,0,1,1,11.0,9.0,90.0,0.8,31.43464
+407,data,https://github.com/google/weather-tools,,,,google/weather-tools,weather-tools,127,27,15,Python,https://weather-tools.readthedocs.io/,weather-tools: Apache Beam pipelines to make weather data accessible and useful.,google,2023-02-26,2021-11-22,66,1.8995726495726495,"['python', 'apache-beam', 'weather']",2023-02-22,26,2,1.77,48,30,16,0,5,7,5,48.0,28.0,90.0,0.6,31.41646
+9,ml,https://github.com/contextlab/hypertools,,,,contextlab/hypertools,hypertools,1766,160,60,Python,http://hypertools.readthedocs.io/en/latest/,hypertools: A Python toolbox for gaining geometric insights into high-dimensional data,contextlab,2023-03-04,2016-09-27,335,5.260425531914894,"['data-visualization', 'high-dimensional-data', 'python', 'topic-modeling', 'text-vectorization', 'data-wrangling', 'visualization', 'time-series']",2022-02-12,21,6,0.0,1,0,78,13,0,3,3,1.0,0.0,90.0,0.0,31.20678
+750,diffusion,https://github.com/sharonzhou/long_stable_diffusion,,,,sharonzhou/long_stable_diffusion,long_stable_diffusion,598,48,14,Python,,"long_stable_diffusion: Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)",sharonzhou,2023-03-04,2022-09-04,26,23.0,[],2022-10-30,2,1,0.44,0,0,6,4,0,0,0,0.0,0.0,90.0,0.0,31.1972
+331,ml,https://github.com/jacopotagliabue/reclist,,,,jacopotagliabue/reclist,reclist,389,21,9,Python,,"reclist: Behavioral ""black-box"" testing for recommender systems",jacopotagliabue,2023-03-02,2021-11-08,68,5.649377593360996,"['recommender-system', 'machine-learning', 'qa-automation']",2023-01-26,7,1,0.65,12,3,16,1,0,5,5,12.0,4.0,90.0,0.3,31.11128
+1005,finance,https://github.com/lballabio/quantlib-swig,,,,lballabio/quantlib-swig,QuantLib-SWIG,275,262,38,SWIG,,QuantLib-SWIG: QuantLib wrappers to other languages,lballabio,2023-03-03,2015-12-17,376,0.7305502846299811,['quantitative-finance'],2023-01-30,77,2,2.37,22,18,88,1,4,5,4,22.0,30.0,90.0,1.4,31.11075
+1001,finance,https://github.com/quantopian/alphalens,,,,quantopian/alphalens,alphalens,2565,982,163,Jupyter Notebook,http://quantopian.github.io/alphalens,alphalens: Performance analysis of predictive (alpha) stock factors,quantopian,2023-03-03,2016-06-03,352,7.281021897810219,"['finance', 'python', 'pandas', 'numpy', 'algorithmic-trading', 'jupyter']",2020-04-27,25,2,0.0,2,1,82,35,0,2,2,2.0,1.0,90.0,0.5,31.08892
+652,profiling,https://github.com/sumerc/yappi,,,,sumerc/yappi,yappi,1078,58,13,Python,,"yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.",sumerc,2023-03-03,2009-10-07,699,1.540943434755973,"['profilers', 'multi-threaded-applications', 'coroutine', 'asynchronous', 'python', 'asyncio', 'performance', 'profile', 'asgi', 'cpu', 'thread', 'gevent', 'greenlet', 'multithreading']",2022-11-25,28,6,0.65,8,5,163,3,2,0,2,8.0,5.0,90.0,0.6,30.80815
+284,data,https://github.com/sdispater/orator,,,,sdispater/orator,orator,1387,164,46,Python,https://orator-orm.com,orator: The Orator ORM provides a simple yet beautiful ActiveRecord implementation.,sdispater,2023-03-04,2015-05-24,406,3.416256157635468,"['python', 'orm', 'database']",2022-03-13,32,4,0.02,3,0,95,12,0,3,3,3.0,2.0,90.0,0.7,30.79643
+185,math,https://github.com/willianfuks/tfcausalimpact,,,,willianfuks/tfcausalimpact,tfcausalimpact,392,54,10,Python,,tfcausalimpact: Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.,willianfuks,2023-03-02,2020-08-17,132,2.9505376344086023,"['causalimpact', 'tensorflow-probability', 'python', 'causal-inference']",2022-12-20,3,1,0.21,5,4,31,2,8,6,8,5.0,12.0,90.0,2.4,30.75679
+668,gis,https://github.com/cgal/cgal-swig-bindings,,,,cgal/cgal-swig-bindings,cgal-swig-bindings,266,80,26,C++,,cgal-swig-bindings: CGAL bindings using SWIG,cgal,2023-02-27,2015-03-14,416,0.6392035702025404,[],2023-03-01,22,1,2.58,11,9,97,0,5,1,5,11.0,27.0,90.0,2.5,30.74889
+995,nlp,https://github.com/thudm/p-tuning-v2,,,,thudm/p-tuning-v2,P-tuning-v2,595,72,26,Python,,P-tuning-v2: An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks,thudm,2023-03-04,2021-10-14,72,8.214990138067062,"['natural-language-processing', 'prompt-tuning', 'pretrained-language-model', 'p-tuning', 'parameter-efficient-learning']",2022-11-04,3,1,0.29,5,2,17,4,0,0,0,5.0,8.0,90.0,1.6,30.74317
+1013,finance,https://github.com/pmorissette/bt,,,,pmorissette/bt,bt,1593,357,79,Python,http://pmorissette.github.io/bt,bt - flexible backtesting for Python,pmorissette,2023-03-04,2014-06-19,454,3.505501414649481,[],2022-11-22,27,2,0.33,14,5,106,3,0,0,0,14.0,10.0,90.0,0.7,30.71449
+522,gis,https://github.com/pygeos/pygeos,,,,pygeos/pygeos,pygeos,361,40,15,Python,https://pygeos.readthedocs.io,pygeos: Wraps GEOS geometry functions in numpy ufuncs.,pygeos,2023-02-14,2019-06-10,194,1.8526392961876832,[],2022-12-14,13,8,0.19,20,18,45,3,2,5,2,20.0,11.0,90.0,0.6,30.70811
+47,data,https://github.com/macbre/sql-metadata,1.0,,,macbre/sql-metadata,sql-metadata,510,87,15,Python,https://pypi.python.org/pypi/sql-metadata,sql-metadata: Uses tokenized query returned by python-sqlparse and generates query metadata,macbre,2023-03-03,2017-06-06,299,1.701620591039085,"['sql', 'parser', 'database', 'sql-parser', 'metadata', 'sqlparse', 'python-package', 'python3-library', 'hiveql', 'hive', 'mysql-query']",2023-02-16,13,4,0.87,21,8,70,1,3,5,3,21.0,10.0,90.0,0.5,30.64233
+271,crypto,https://github.com/man-c/pycoingecko,,,,man-c/pycoingecko,pycoingecko,966,259,33,Python,,pycoingecko: Python wrapper for the CoinGecko API,man-c,2023-02-27,2018-08-24,236,4.088270858524789,"['python3', 'api-wrapper', 'api', 'wrapper', 'cryptocurrency', 'crypto', 'coingecko', 'python', 'nft', 'nfts']",2022-10-26,14,1,0.29,3,2,55,4,0,4,4,3.0,3.0,90.0,1.0,30.6257
+564,gis,https://github.com/geopandas/pyogrio,,,,geopandas/pyogrio,pyogrio,139,10,9,Python,https://pyogrio.readthedocs.io,pyogrio: Vectorized vector I/O using OGR,geopandas,2023-02-19,2020-03-27,153,0.9068033550792172,[],2023-02-08,9,3,2.08,52,39,36,1,7,3,7,52.0,73.0,90.0,1.4,30.61114
+158,jupyter,https://github.com/nteract/testbook,,,,nteract/testbook,testbook,345,38,15,Python,https://testbook.readthedocs.io,testbook: 🧪 📗  Unit test your Jupyter Notebooks the right way,nteract,2023-02-06,2020-02-26,157,2.1894832275611966,"['jupyter-notebook', 'unit-testing', 'pytest', 'nteract', 'python', 'testbook']",2022-11-29,15,6,0.04,8,0,37,3,0,5,5,8.0,7.0,90.0,0.9,30.52389
+772,sim,https://github.com/openfisca/openfisca-core,,,,openfisca/openfisca-core,openfisca-core,139,70,24,Python,https://openfisca.org,openfisca-core: OpenFisca core engine. See other repositories for countries-specific code & data.,openfisca,2023-02-08,2013-12-29,479,0.29018789144050106,"['legislation-as-code', 'rules-as-code', 'better-rules', 'microsimulation']",2023-01-24,58,2,2.98,46,25,112,1,0,42,42,46.0,57.0,90.0,1.2,30.47383
+584,gis,https://github.com/spatialucr/geosnap,,,,spatialucr/geosnap,geosnap,181,28,17,Python,https://spatialucr.github.io/geosnap-guide,geosnap: The Geospatial Neighborhood Analysis Package,spatialucr,2023-02-14,2018-09-19,232,0.7782555282555282,[],2023-01-25,9,6,0.98,10,4,54,1,4,6,4,10.0,20.0,90.0,2.0,30.47316
+337,util,https://github.com/mrabarnett/mrab-regex,,,,mrabarnett/mrab-regex,mrab-regex,216,27,6,C,,mrabarnett/mrab-regex,mrabarnett,2023-03-03,2020-11-02,121,1.772567409144197,[],2022-10-31,9,2,0.23,6,3,28,4,0,6,6,6.0,24.0,90.0,4.0,30.44837
+720,perf,https://github.com/noxdafox/pebble,,,,noxdafox/pebble,pebble,406,46,10,Python,,pebble: Multi threading and processing eye-candy.,noxdafox,2023-03-02,2013-10-16,489,0.8292967610154655,"['threading', 'multiprocessing', 'python', 'pool', 'decorators', 'asyncio']",2023-03-01,15,5,0.87,2,2,114,0,4,2,4,2.0,2.0,90.0,1.0,30.38475
+1040,finance,https://github.com/rsheftel/pandas_market_calendars,,,,rsheftel/pandas_market_calendars,pandas_market_calendars,568,124,30,Python,,pandas_market_calendars: Exchange calendars to use with pandas for trading applications,rsheftel,2023-02-28,2016-12-07,325,1.7446248354541465,"['pandas', 'date', 'datetime', 'exchange', 'calendar']",2023-02-04,41,1,2.06,15,11,76,1,8,4,8,15.0,4.0,90.0,0.3,30.34412
+159,data,https://github.com/goldsmith/wikipedia,,,,goldsmith/wikipedia,Wikipedia,2571,521,82,Python,https://wikipedia.readthedocs.org/,Wikipedia: A Pythonic wrapper for the Wikipedia API,goldsmith,2023-03-03,2013-08-20,497,5.165614236509759,[],2020-10-09,23,3,0.0,7,1,116,29,0,0,0,7.0,7.0,90.0,1.0,30.32153
+94,term,https://github.com/urwid/urwid,,,,urwid/urwid,urwid,2545,311,62,Python,urwid.org,urwid: Console user interface library for Python (official repo),urwid,2023-03-02,2010-02-25,679,3.7457947855340623,[],2022-07-12,116,1,0.02,11,3,158,19,0,4,4,11.0,6.0,90.0,0.5,30.29261
+913,math,https://github.com/google-research/torchsde,,,,google-research/torchsde,torchsde,1220,145,33,Python,,torchsde: Differentiable SDE solvers with GPU support and efficient sensitivity analysis. ,google-research,2023-03-04,2020-07-06,138,8.786008230452675,"['deep-learning', 'deep-neural-networks', 'pytorch', 'dynamical-systems', 'differential-equations', 'stochastic-processes', 'stochastic-differential-equations', 'stochastic-volatility-models', 'neural-differential-equations']",2021-07-26,5,2,0.0,5,1,32,20,0,2,2,5.0,2.0,90.0,0.4,30.23629
+849,web,https://github.com/conradbez/hstream,,,,conradbez/hstream,hstream,267,11,6,Python,,hstream: Hyper Stream,conradbez,2023-01-29,2022-11-03,17,15.319672131147541,[],2023-02-10,5,1,0.81,0,0,4,1,0,0,0,0.0,0.0,90.0,0.0,30.05389
+406,perf,https://github.com/pympler/pympler,,,,pympler/pympler,pympler,1018,83,10,Python,,"pympler: Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.",pympler,2023-03-04,2012-10-04,543,1.8732912723449,[],2022-07-24,29,5,0.08,4,1,127,8,0,2,2,4.0,5.0,90.0,1.2,29.96851
+487,gis,https://github.com/fatiando/verde,,,,fatiando/verde,verde,474,59,21,Python,https://www.fatiando.org/verde,verde: Processing and interpolating spatial data with a twist of machine learning,fatiando,2023-03-04,2018-04-25,253,1.8692957746478873,"['geophysics', 'earth-science', 'geospatial', 'python', 'scipy', 'interpolation', 'python3', 'scipy-stack', 'fatiando-a-terra', 'geoscience']",2022-12-09,13,8,0.54,4,3,59,3,1,3,1,4.0,3.0,90.0,0.8,29.92619
+480,pandas,https://github.com/holoviz/spatialpandas,,,,holoviz/spatialpandas,spatialpandas,257,21,22,Python,,spatialpandas: Pandas extension arrays for spatial/geometric operations,holoviz,2023-03-04,2019-10-28,174,1.4697712418300655,"['holoviz', 'spatialpandas', 'pandas', 'geopandas', 'geographic-data']",2023-03-02,10,5,0.37,13,8,41,0,3,11,3,13.0,6.0,90.0,0.5,29.91708
+580,util,https://github.com/lidatong/dataclasses-json,,,,lidatong/dataclasses-json,dataclasses-json,1077,117,10,Python,,dataclasses-json: Easily serialize Data Classes to and from JSON,lidatong,2023-03-02,2018-04-21,254,4.237774030354132,"['dataclasses', 'json', 'python']",2022-08-14,46,1,0.12,20,1,59,7,1,14,1,19.0,16.0,90.0,0.8,29.77875
+397,web,https://github.com/klen/muffin,,,,klen/muffin,muffin,625,25,31,Python,,"Muffin is a fast, simple and asyncronous web-framework for Python 3",klen,2023-02-27,2015-02-03,421,1.4820460704607046,"['python', 'asyncio', 'trio', 'asgi', 'webframework', 'muffin', 'curio']",2023-03-04,13,5,0.83,0,0,98,0,0,43,43,0.0,0.0,90.0,0.0,29.66473
+566,gis,https://github.com/gboeing/osmnx-examples,,,,gboeing/osmnx-examples,osmnx-examples,1224,449,54,Jupyter Notebook,https://github.com/gboeing/osmnx,"osmnx-examples: Usage examples, demos, and tutorials for OSMnx.",gboeing,2023-03-03,2017-07-22,293,4.175438596491228,"['street-networks', 'binder', 'jupyter-notebook', 'notebooks', 'urban-planning', 'city', 'cities', 'openstreetmap', 'network-analysis', 'transport', 'transportation', 'accessibility', 'urban-data-science', 'urban-analytics', 'public-transport', 'python', 'transit', 'urban-design']",2023-01-01,1,1,0.48,5,5,68,2,0,2,2,5.0,5.0,90.0,1.0,29.64283
+525,gis,https://github.com/toblerity/rtree,,,,toblerity/rtree,rtree,527,123,30,Python,https://rtree.readthedocs.io/en/latest/,Rtree: spatial index for Python GIS ¶,toblerity,2023-02-21,2011-06-19,611,0.8625204582651391,[],2023-01-23,39,6,0.31,6,5,143,1,2,1,2,6.0,4.0,90.0,0.7,29.61522
+957,nlp,https://github.com/cqcl/lambeq,,,,cqcl/lambeq,lambeq,323,71,25,Python,https://cqcl.github.io/lambeq/,lambeq: A high-level Python library for Quantum Natural Language Processing,cqcl,2023-03-02,2021-10-10,73,4.424657534246576,"['python', 'qnlp']",2023-01-09,8,0,0.19,7,4,17,2,9,9,9,7.0,10.0,90.0,1.4,29.6135
+479,gis,https://github.com/holoviz/geoviews,,,,holoviz/geoviews,geoviews,460,68,28,Python,http://geoviews.org,"geoviews: Simple, concise geographical visualization in Python",holoviz,2023-03-02,2016-04-19,358,1.282357626443648,"['holoviz', 'geoviews', 'holoviews', 'geographic-visualizations', 'cartopy', 'plotting']",2023-01-17,28,4,0.73,82,19,84,2,2,10,2,82.0,22.0,90.0,0.3,29.43291
+730,study,https://github.com/amanchadha/coursera-deep-learning-specialization,,,,amanchadha/coursera-deep-learning-specialization,coursera-deep-learning-specialization,1794,1564,17,Jupyter Notebook,,"coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models",amanchadha,2023-03-04,2020-06-24,140,12.762195121951219,"['deep-learning', 'coursera', 'coursera-assignment', 'coursera-specialization', 'coursera-machine-learning', 'andrew-ng', 'andrew-ng-course', 'convolutional-neural-networks', 'cnns', 'recurrent-neural-networks', 'rnns', 'convolutional-neural-network', 'recurrent-neural-network', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-network', 'neural-networks', 'neural-machine-translation', 'neural-style-transfer', 'regularization']",2022-02-07,6,2,0.0,0,0,33,13,0,0,0,0.0,0.0,90.0,0.0,29.36445
+456,gis,https://github.com/graal-research/deepparse,,,,graal-research/deepparse,deepparse,207,24,4,Python,https://deepparse.org/,Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning,graal-research,2023-02-24,2020-07-01,139,1.4831115660184238,"['machine-learning', 'python', 'addresses-parsing']",2023-02-23,6,2,3.35,16,14,32,0,16,18,16,16.0,4.0,90.0,0.2,29.28399
+164,nlp,https://github.com/explosion/spacy-stanza,,,,explosion/spacy-stanza,spacy-stanza,672,50,25,Python,,spacy-stanza: 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy,explosion,2023-02-18,2019-01-31,213,3.1485943775100402,"['nlp', 'natural-language-processing', 'machine-learning', 'data-science', 'spacy', 'spacy-pipeline', 'stanford-nlp', 'stanford-corenlp', 'stanford-machine-learning', 'corenlp', 'stanza']",2022-05-27,7,5,0.06,5,1,50,9,1,4,1,5.0,6.0,90.0,1.2,29.25875
+1026,nlp,https://github.com/prithivirajdamodaran/styleformer,,,,prithivirajdamodaran/styleformer,Styleformer,442,59,18,Python,,"Styleformer: A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.",prithivirajdamodaran,2023-03-01,2021-06-12,90,4.903328050713154,"['style-transfer', 'slang', 'informal-sentences', 'formal-languages', 'nlp', 'active', 'passive', 'text-style-transfer', 'text-style', 'text-style-transfer-benchmark']",2022-12-27,4,2,0.31,1,1,21,2,0,1,1,1.0,1.0,90.0,1.0,29.22495
+682,util,https://github.com/sciunto-org/python-bibtexparser,,,,sciunto-org/python-bibtexparser,python-bibtexparser,347,118,17,Python,https://bibtexparser.readthedocs.io,python-bibtexparser: Bibtex parser for Python 3,sciunto-org,2023-03-01,2013-01-05,530,0.6545405551064403,"['bibtex', 'bibtex-files', 'latex', 'python', 'hacktoberfest2022']",2023-01-03,45,6,0.65,12,9,124,2,2,2,2,12.0,9.0,90.0,0.8,29.1959
+524,util,https://github.com/venth/aws-adfs,,,,venth/aws-adfs,aws-adfs,282,91,11,Python,,aws-adfs: Command line tool to ease aws cli authentication against ADFS (multi factor authentication with active directory),venth,2023-03-03,2016-06-25,349,0.8076923076923077,"['aws', 'adfs', 'python', 'command-line', 'tools', 'multi-factor-authentication', 'duo-security']",2022-12-14,46,3,2.0,16,4,81,3,19,17,19,16.0,10.0,90.0,0.6,29.1574
+23,math,https://github.com/fredrik-johansson/mpmath,,,,fredrik-johansson/mpmath,mpmath,736,152,40,Python,http://mpmath.org,mpmath: Python library for arbitrary-precision floating-point arithmetic,fredrik-johansson,2023-02-28,2011-12-07,586,1.2547491475888943,"['python', 'arbitrary-precision', 'multiprecision', 'floating-point', 'special-functions', 'numerical-integration', 'numerical-methods', 'plotting', 'complex-numbers', 'ordinary-differential-equations', 'numerical-optimization']",2023-01-10,47,3,0.23,10,5,137,2,0,1,1,10.0,11.0,90.0,1.1,29.14466
+235,nlp,https://github.com/salesforce/codet5,,,,salesforce/codet5,CodeT5,662,124,22,Python,https://arxiv.org/abs/2109.00859,Code for CodeT5: a new code-aware pre-trained encoder-decoder model.,salesforce,2023-03-04,2021-08-16,80,8.187279151943462,"['language-model', 'code-intelligence', 'programming-language', 'representation-learning', 'nlp']",2022-07-08,3,1,0.04,21,14,19,8,0,0,0,21.0,14.0,90.0,0.7,29.09838
+123,util,https://github.com/mgedmin/check-manifest,,,,mgedmin/check-manifest,check-manifest,275,37,7,Python,https://pypi.org/p/check-manifest,check-manifest: Tool to check the completeness of MANIFEST.in for Python packages,mgedmin,2023-03-01,2013-03-05,521,0.5271084337349398,[],2022-12-11,22,6,0.58,1,1,122,3,0,5,5,1.0,2.0,90.0,2.0,29.01389
+267,nlp,https://github.com/arxiv-vanity/arxiv-vanity,,,,arxiv-vanity/arxiv-vanity,arxiv-vanity,1386,89,22,Python,https://www.arxiv-vanity.com,arxiv-vanity: Renders papers from arXiv as responsive web pages so you don't have to squint at a PDF.,arxiv-vanity,2023-03-03,2017-08-12,290,4.776957163958641,"['latex', 'academic-publishing', 'science', 'arxiv']",2022-01-18,9,3,0.0,19,8,68,14,0,0,0,19.0,10.0,90.0,0.5,28.99252
+767,ml-dl,https://github.com/praw-dev/asyncpraw,,,,praw-dev/asyncpraw,asyncpraw,82,14,3,Python,https://asyncpraw.readthedocs.io,"asyncpraw: Async PRAW, an abbreviation for ""Asynchronous Python Reddit API Wrapper"", is a python package that allows for simple access to Reddit's API.",praw-dev,2023-02-28,2019-02-05,212,0.3854936198791135,"['python', 'api', 'oauth', 'reddit', 'reddit-api', 'async', 'asyncpraw', 'praw']",2023-02-25,226,4,1.85,27,27,50,0,3,3,3,27.0,5.0,90.0,0.2,28.98747
+583,gis,https://github.com/developmentseed/cogeo-mosaic,,,,developmentseed/cogeo-mosaic,cogeo-mosaic,78,21,8,Python,https://developmentseed.org/cogeo-mosaic/,cogeo-mosaic: Create and use COG mosaic based on mosaicJSON,developmentseed,2023-02-14,2019-05-14,198,0.3925233644859813,[],2023-03-03,10,8,0.52,5,5,46,0,0,11,11,5.0,4.0,90.0,0.8,28.84795
+577,jupyter,https://github.com/computationalmodelling/nbval,,,,computationalmodelling/nbval,nbval,398,51,10,Python,,nbval: A py.test plugin to validate Jupyter notebooks,computationalmodelling,2023-02-27,2015-04-09,412,0.9650155871146519,"['ipython-notebook', 'jupyter-notebook', 'python', 'testing', 'pytest-plugin', 'pytest']",2023-01-11,33,4,0.25,9,7,96,2,0,2,2,9.0,10.0,90.0,1.1,28.83091
+976,sim,https://github.com/glpcc/pokerpy,,,,glpcc/pokerpy,PokerPy,41,4,1,C++,,PokerPy: Texas Hold'em Poker Probability Calculator in Python,glpcc,2023-02-27,2022-12-11,12,3.4166666666666665,"['cpp', 'fast', 'performance', 'poker', 'pybind11', 'python', 'texas-holdem']",2023-02-10,2,1,1.08,1,1,3,1,0,0,0,1.0,8.0,90.0,8.0,28.77431
+1002,finance,https://github.com/quantopian/research_public,,,,quantopian/research_public,research_public,2071,1451,201,Jupyter Notebook,https://www.quantopian.com/lectures,research_public: Quantitative research and educational materials,quantopian,2023-03-01,2015-02-26,418,4.94947080914988,[],2020-10-30,52,5,0.0,2,2,98,28,0,0,0,2.0,0.0,90.0,0.0,28.66364
+516,ml-dl,https://github.com/kakaobrain/rq-vae-transformer,,,,kakaobrain/rq-vae-transformer,rq-vae-transformer,539,61,15,Jupyter Notebook,,rq-vae-transformer: The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22),kakaobrain,2023-03-02,2022-03-03,52,10.280653950953678,[],2022-08-18,1,1,0.06,3,2,12,7,0,0,0,3.0,3.0,90.0,1.0,28.64386
+999,finance,https://github.com/nasdaq/data-link-python,,,,nasdaq/data-link-python,data-link-python,209,39,9,Python,,data-link-python: A Python library for Nasdaq Data Link's RESTful API,nasdaq,2023-02-25,2021-11-02,69,2.997950819672131,[],2022-08-29,4,2,0.19,7,1,16,6,0,4,4,7.0,17.0,90.0,2.4,28.58744
+989,nlp,https://github.com/muennighoff/sgpt,,,,muennighoff/sgpt,sgpt,264,27,6,Jupyter Notebook,,SGPT: GPT Sentence Embeddings for Semantic Search,muennighoff,2023-03-03,2022-02-11,55,4.775193798449612,"['gpt', 'information-retrieval', 'language-model', 'large-language-models', 'retrieval', 'semantic-search', 'sentence-embeddings', 'text-embedding', 'neural-search', 'sgpt']",2022-09-12,2,1,0.52,9,3,13,6,0,0,0,9.0,31.0,90.0,3.4,28.49109
+945,nlp,https://github.com/ibm/transition-amr-parser,,,,ibm/transition-amr-parser,transition-amr-parser,174,40,9,Python,,transition-amr-parser: SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.,ibm,2023-02-25,2019-10-08,177,0.9790996784565916,"['machine-learning', 'nlp', 'semantic-parsing', 'amr', 'amr-parser', 'abstract-meaning-representation', 'amr-parsing', 'amr-graphs']",2023-02-01,15,2,5.63,9,6,41,1,0,4,4,9.0,9.0,90.0,1.0,28.37786
+765,study,https://github.com/fluentpython/example-code-2e,,,,fluentpython/example-code-2e,example-code-2e,1745,525,54,Python,https://amzn.to/3J48u2J,"example-code-2e: Example code for Fluent Python, 2nd edition (O'Reilly 2022) ",fluentpython,2023-03-04,2019-03-21,206,8.453287197231834,"['python', 'python3', 'concurrency', 'iterators', 'metaprogramming', 'special-methods']",2022-04-24,7,2,0.06,4,0,48,10,0,0,0,4.0,0.0,90.0,0.0,28.29752
+597,data,https://github.com/uber/fiber,,,,uber/fiber,fiber,1004,113,22,Python,https://uber.github.io/fiber/,fiber: Distributed Computing for AI Made Simple,uber,2023-02-26,2020-01-07,164,6.095403295750216,"['python', 'distributed-computing', 'multiprocessing', 'sandbox', 'machine-learning']",2021-03-15,5,3,0.0,3,0,38,24,0,1,1,3.0,2.0,90.0,0.7,28.17481
+998,util,https://github.com/stub42/pytz,,,,stub42/pytz,pytz,244,69,14,C,,pytz Python historical timezone library and database,stub42,2023-02-27,2016-07-12,346,0.703749484960857,[],2023-01-14,19,4,0.58,9,6,81,2,0,11,11,9.0,5.0,90.0,0.6,28.0476
+561,gis,https://github.com/geopandas/contextily,,,,geopandas/contextily,contextily,387,68,14,Jupyter Notebook,https://contextily.readthedocs.io/en/latest/,contextily: Context geo-tiles in Python,geopandas,2023-02-28,2016-09-08,338,1.1435204727733221,"['tiles', 'stamen', 'openstreetmap', 'python', 'tile', 'mapping', 'webtiles', 'geography', 'cartography', 'matplotlib', 'osm', 'stamen-maps']",2023-02-06,20,4,0.15,14,10,79,1,1,1,1,14.0,10.0,90.0,0.7,27.98287
+207,util,https://github.com/aws/aws-lambda-python-runtime-interface-client,,,,aws/aws-lambda-python-runtime-interface-client,aws-lambda-python-runtime-interface-client,197,49,16,Python,,aws/aws-lambda-python-runtime-interface-client,aws,2023-03-02,2020-09-02,130,1.5087527352297594,[],2023-02-16,23,5,0.37,8,2,30,1,0,2,2,8.0,4.0,90.0,0.5,27.9174
+1032,finance,https://github.com/borisbanushev/stockpredictionai,,,,borisbanushev/stockpredictionai,stockpredictionai,3597,1588,262,,,"stockpredictionai:        In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.",borisbanushev,2023-03-05,2019-01-09,216,16.608839050131927,[],2019-02-11,1,0,0.0,7,0,51,49,0,0,0,7.0,4.0,90.0,0.6,27.89169
+731,ml,https://github.com/autonlab/auton-survival,,,,autonlab/auton-survival,auton-survival,212,52,7,Python,http://autonlab.github.io/auton-survival,"auton-survival: Auton Survival -  an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events ",autonlab,2023-03-01,2020-04-01,152,1.3895131086142323,"['survival-analysis', 'reliability-analysis', 'python', 'data-science', 'deep-learning', 'machine-learning', 'time-to-event', 'counterfactual-inference', 'regression', 'causal-inference', 'graphical-models']",2023-03-03,10,3,1.92,7,3,36,0,0,0,0,7.0,9.0,90.0,1.3,27.87436
+678,util,https://github.com/lukasschwab/arxiv.py,,,,lukasschwab/arxiv.py,arxiv.py,613,81,17,Python,,arxiv.py: Python wrapper for the arXiv API,lukasschwab,2023-03-02,2015-11-25,379,1.6149792999623636,"['arxiv', 'arxiv-api', 'python-wrapper', 'pdf']",2023-02-01,14,3,0.15,8,8,89,1,1,3,1,8.0,4.0,90.0,0.5,27.78922
+866,util,https://github.com/hugovk/pypistats,,,,hugovk/pypistats,pypistats,146,26,4,Python,https://pypistats.org/api/,pypistats: Command-line interface to PyPI Stats API to get download stats for Python packages,hugovk,2023-02-26,2018-09-22,232,0.6289230769230769,"['python', 'python3', 'pypi', 'statistics', 'stats', 'api', 'cli', 'command-line', 'command-line-tool', 'downloads', 'hacktoberfest']",2023-03-01,12,3,1.42,14,13,54,0,3,6,3,14.0,13.0,90.0,0.9,27.76613
+393,perf,https://github.com/klen/py-frameworks-bench,,,,klen/py-frameworks-bench,py-frameworks-bench,684,80,27,Python,https://klen.github.io/py-frameworks-bench/,py-frameworks-bench: Another benchmark for some python frameworks,klen,2023-03-01,2015-04-30,409,1.6706210746685275,"['benchmark', 'python-frameworks']",2022-03-14,10,5,0.12,17,9,95,12,0,3,3,17.0,10.0,90.0,0.6,27.74417
+927,ml,https://github.com/google-research/maxvit,,,,google-research/maxvit,maxvit,310,19,6,Jupyter Notebook,,"[ECCV 2022] Official repository for ""MaxViT: Multi-Axis Vision Transformer"". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...",google-research,2023-03-03,2022-07-07,34,9.004149377593361,"['architecture', 'classification', 'cnn', 'computer-vision', 'image', 'image-processing', 'mlp', 'object-detection', 'transformer', 'transformer-architecture', 'vision-transformer', 'segmentation', 'resnet']",2022-10-23,1,1,0.06,7,4,8,4,0,0,0,7.0,5.0,90.0,0.7,27.67611
+498,ml-dl,https://github.com/vt-vl-lab/fgvc,,,,vt-vl-lab/fgvc,FGVC,1482,242,68,Python,,FGVC: [ECCV 2020] Flow-edge Guided Video Completion ,vt-vl-lab,2023-02-19,2020-09-09,129,11.437706725468578,[],2021-12-14,3,2,0.0,0,0,30,15,0,0,0,0.0,0.0,90.0,0.0,27.51429
+942,web,https://github.com/rawheel/fastapi-boilerplate,,,,rawheel/fastapi-boilerplate,fastapi-boilerplate,110,10,1,Python,,"fastapi-boilerplate: Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀 ",rawheel,2023-03-01,2022-12-28,9,11.492537313432836,"['alembic', 'boilerplate', 'docker', 'fastapi', 'fastapi-boilerplate', 'fastapi-sqlalchemy', 'postgresql', 'pydantic', 'python3', 'docker-compose', 'sqlalchemy', 'sqlalchemy-orm', 'poetry-python', 'orm']",2023-01-07,3,2,0.27,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,27.40028
+901,crypto,https://github.com/ofek/bit,,,,ofek/bit,bit,1131,188,48,Python,https://ofek.dev/bit/,Bitcoin made easy.,ofek,2023-02-27,2016-11-12,329,3.4361979166666665,"['bitcoin', 'python', 'libraries', 'cryptocurrencies', 'payments']",2023-02-11,15,1,0.02,8,2,77,1,0,0,0,8.0,3.0,90.0,0.4,27.39766
+740,nlp,https://github.com/koaning/whatlies,,,,koaning/whatlies,whatlies,452,50,14,Python,https://koaning.github.io/whatlies/,"whatlies: Toolkit to help understand ""what lies"" in word embeddings. Also benchmarking! ",koaning,2023-03-01,2020-02-22,158,2.8581752484191507,"['nlp', 'embeddings', 'visualisations']",2023-02-06,13,6,0.12,0,0,37,1,1,9,1,0.0,0.0,90.0,0.0,27.3914
+437,pandas,https://github.com/polyaxon/datatile,,,,polyaxon/datatile,traceml,461,40,13,Python,,"traceml: Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.",polyaxon,2023-03-02,2016-03-25,362,1.2724763406940063,"['pandas', 'pandas-summary', 'dataframes', 'data-science', 'spark', 'dask', 'plotly', 'statistics', 'matplotlib', 'data-profiling', 'data-visualization', 'data-exploration', 'dataops', 'mlops', 'data-quality', 'data-quality-checks', 'explainable-ai', 'pytorch', 'tensorflow', 'tracking']",2023-02-24,98,3,1.87,0,0,84,0,0,1,1,0.0,0.0,90.0,0.0,27.04025
+933,ml,https://github.com/jonasgeiping/breaching,,,,jonasgeiping/breaching,breaching,147,32,3,Python,,Breaching privacy in federated learning scenarios for vision and text,jonasgeiping,2023-02-24,2022-02-15,54,2.68668407310705,"['security', 'machine-learning', 'pytorch', 'federated-learning', 'decentralized-learning', 'privacy-audit']",2023-02-09,17,2,0.77,2,1,13,1,0,0,0,2.0,3.0,90.0,1.5,27.02456
+669,ml,https://github.com/apple/ml-ane-transformers,,,,apple/ml-ane-transformers,ml-ane-transformers,600,31,34,Python,,ml-ane-transformers: Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE),apple,2023-03-03,2022-06-03,39,15.272727272727273,[],2022-08-09,1,0,0.1,0,0,9,7,3,4,3,0.0,0.0,90.0,0.0,26.95344
+642,util,https://github.com/metachris/logzero,,,,metachris/logzero,logzero,1030,69,26,Python,https://logzero.readthedocs.io,logzero: Robust and effective logging for Python 2 and 3.,metachris,2023-02-20,2017-06-12,298,3.4464627151051626,"['python', 'logging', 'logzero', 'logfiles']",2021-03-17,12,6,0.0,1,1,70,24,0,3,3,1.0,0.0,90.0,0.0,26.92205
+236,sim,https://github.com/salesforce/ai-economist,1.0,,,salesforce/ai-economist,ai-economist,949,194,46,Python,https://www.einstein.ai/the-ai-economist,"ai-economist: Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).",salesforce,2023-03-02,2020-07-02,139,6.806352459016393,"['ai', 'ml', 'multi-agent', 'multi-agent-reinforcement-learning', 'deep-reinforcement-learning', 'reinforcement-learning-environments', 'simulation-framework', 'python-3', 'economics']",2022-05-09,8,3,0.06,2,0,32,10,0,0,0,2.0,0.0,90.0,0.0,26.89281
+918,util,https://github.com/python-odin/odin,,,,python-odin/odin,odin,29,7,3,Python,https://odin.readthedocs.org/en/latest/,"odin: Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python",python-odin,2023-02-14,2013-08-20,497,0.058266360505166474,"['python', 'validation', 'data-structures', 'data-mapping', 'serialize', 'de-serialize', 'json', 'csv', 'msgpack', 'xml', 'yaml']",2023-02-26,8,2,2.52,14,10,116,0,13,7,13,14.0,17.0,90.0,1.2,26.88023
+274,data,https://github.com/amzn/ion-python,,,,amzn/ion-python,ion-python,223,49,25,Python,https://amazon-ion.github.io/ion-docs/,ion-python: A Python implementation of Amazon Ion.,amzn,2023-02-21,2016-04-07,360,0.6187078874355926,[],2023-02-14,25,3,0.38,25,13,84,1,3,2,3,25.0,14.0,90.0,0.6,26.7669
+326,security,https://github.com/snyk-labs/pysnyk,,,,snyk-labs/pysnyk,pysnyk,53,95,10,Python,https://snyk.docs.apiary.io/,pysnyk: A Python client for the Snyk API.,snyk-labs,2023-03-01,2019-02-03,213,0.24882629107981222,"['snyk', 'python', 'api']",2023-01-20,30,4,0.48,27,16,50,1,7,5,7,27.0,21.0,90.0,0.8,26.644
+545,ml,https://github.com/borealisai/advertorch,,,,borealisai/advertorch,advertorch,1141,180,27,Jupyter Notebook,,advertorch: A Toolbox for Adversarial Robustness Research,borealisai,2023-03-04,2018-11-29,222,5.129736673089274,"['pytorch', 'adversarial-examples', 'adversarial-example', 'adversarial-perturbations', 'adversarial-attacks', 'adversarial-machine-learning', 'adversarial-learning', 'robustness', 'toolbox', 'security', 'machine-learning', 'benchmarking']",2022-05-29,21,3,0.29,0,0,52,9,0,0,0,0.0,0.0,90.0,0.0,26.57046
+654,web,https://github.com/magicstack/httptools,,,,magicstack/httptools,httptools,1092,71,40,Python,,httptools: Fast HTTP parser,magicstack,2023-03-03,2016-04-25,357,3.0514970059880238,[],2022-09-13,13,5,0.06,0,0,83,6,1,2,1,0.0,0.0,90.0,0.0,26.39122
+387,nlp,https://github.com/shivam5992/textstat,,,,shivam5992/textstat,textstat,924,148,17,Python,https://textstat.org,"textstat: :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.",shivam5992,2023-03-03,2014-06-18,454,2.032683846637335,"['python', 'textstat', 'readability', 'flesch-kincaid-grade', 'smog', 'flesch-reading-ease']",2022-07-08,46,3,0.1,2,0,106,8,1,2,1,2.0,1.0,90.0,0.5,26.29268
+839,jupyter,https://github.com/cmudig/autoprofiler,,,,cmudig/autoprofiler,AutoProfiler,94,5,1,Svelte,,AutoProfiler: Automatically profile dataframes in the Jupyter sidebar,cmudig,2023-02-28,2022-03-24,49,1.9017341040462428,"['jupyter', 'pandas', 'python']",2023-02-28,4,2,4.27,34,23,12,0,0,0,0,34.0,16.0,90.0,0.5,26.27574
+418,pandas,https://github.com/zsailer/pandas_flavor,,,,zsailer/pandas_flavor,pandas_flavor,273,17,11,Python,https://zsailer.github.io/software/pandas-flavor/,pandas_flavor: The easy way to write your own flavor of Pandas,zsailer,2023-02-27,2018-01-25,266,1.0246648793565685,['pandas'],2023-02-03,9,3,1.06,7,3,62,1,1,1,1,7.0,7.0,90.0,1.0,26.2148
+330,nlp,https://github.com/franck-dernoncourt/neuroner,,,,franck-dernoncourt/neuroner,NeuroNER,1646,485,84,Python,http://neuroner.com,NeuroNER: Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,franck-dernoncourt,2023-03-03,2017-03-07,312,5.263590680676108,"['nlp', 'machine-learning', 'neural-networks', 'named-entity-recognition', 'deep-learning', 'tensorflow']",2019-10-02,7,2,0.0,1,1,73,42,0,0,0,1.0,1.0,90.0,1.0,26.14913
+878,time-series,https://github.com/rjt1990/pyflux,,,,rjt1990/pyflux,pyflux,2013,236,70,Python,,pyflux: Open source time series library for Python,rjt1990,2023-03-03,2016-02-16,367,5.4743589743589745,"['statistics', 'time-series']",2018-12-16,6,2,0.0,0,0,86,51,0,6,6,0.0,0.0,90.0,0.0,25.80793
+703,ml-ops,https://github.com/bodywork-ml/bodywork-core,,,,bodywork-ml/bodywork-core,bodywork-core,413,19,9,Python,https://bodywork.readthedocs.io/en/latest/,"bodywork-core: ML pipeline orchestration and model deployments on Kubernetes, made really easy.",bodywork-ml,2023-02-01,2020-11-17,119,3.4498806682577565,"['mlops', 'python', 'kubernetes', 'data-science', 'machine-learning', 'pipeline', 'serving', 'continuous-deployment', 'batch', 'devops', 'framework', 'cicd', 'orchestration']",2022-07-04,4,2,2.19,0,0,28,8,0,26,26,0.0,0.0,90.0,0.0,25.79039
+1028,finance,https://github.com/enthought/pyql,,,,enthought/pyql,pyql,761,176,105,Cython,,pyql: Cython QuantLib wrappers,enthought,2023-03-05,2012-03-08,573,1.3271051320378675,"['quantlib', 'cython']",2023-03-04,24,4,0.62,6,5,134,1,0,0,0,6.0,0.0,90.0,0.0,25.77172
+83,ml,https://github.com/stan-dev/pystan,,,,stan-dev/pystan,pystan,243,46,13,Python,,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io",stan-dev,2023-03-04,2017-09-17,285,0.8526315789473684,[],2022-11-26,11,3,0.35,5,2,66,3,0,4,4,5.0,6.0,90.0,1.2,25.7504
+926,util,https://github.com/heuer/segno,,,,heuer/segno,segno,387,42,11,Python,https://pypi.org/project/segno/,segno: Python QR Code and Micro QR Code encoder,heuer,2023-03-04,2016-08-04,343,1.1268718801996673,"['qrcode', 'barcode', 'micro-qrcode', 'matrix-barcode', 'qr-code', 'segno', 'python', 'qr-generator', 'iso-18004', 'structured-append', 'python-qrcode', 'micro-qr-code']",2022-12-10,9,2,0.81,2,1,80,3,1,7,1,2.0,4.0,90.0,2.0,25.69377
+143,nlp,https://github.com/plasticityai/magnitude,,,,plasticityai/magnitude,magnitude,1560,113,37,Python,,"magnitude: A fast, efficient universal vector embedding utility package.",plasticityai,2023-03-04,2018-02-24,262,5.950953678474114,"['python', 'natural-language-processing', 'nlp', 'machine-learning', 'vectors', 'embeddings', 'word2vec', 'fasttext', 'glove', 'gensim', 'fast', 'memory-efficient', 'machine-learning-library', 'word-embeddings']",2020-07-17,4,1,0.0,0,0,61,32,0,28,28,0.0,0.0,90.0,0.0,25.60935
+327,security,https://github.com/sonatype-nexus-community/jake,,,,sonatype-nexus-community/jake,jake,80,21,8,Python,https://jake.readthedocs.io/,jake: Check your Python environments for vulnerable Open Source packages with OSS Index or Sonatype Nexus Lifecycle.,sonatype-nexus-community,2023-01-25,2019-10-10,177,0.45088566827697263,"['python', 'vulnerabilities', 'vulnerability-scanners', 'ossindex', 'nexus-iq', 'sonatype-iq']",2023-02-22,15,5,0.56,5,1,41,0,4,39,4,5.0,3.0,90.0,0.6,25.59298
+867,ml,https://github.com/infer-actively/pymdp,,,,infer-actively/pymdp,pymdp,245,38,24,Python,,pymdp: A Python implementation of active inference for Markov Decision Processes,infer-actively,2023-03-02,2019-11-27,170,1.4363484087102178,[],2022-12-08,12,2,1.31,5,4,40,3,3,2,3,5.0,3.0,90.0,0.6,25.4162
+922,gis,https://github.com/benbovy/spherely,,,,benbovy/spherely,spherely,82,2,4,C++,https://spherely.readthedocs.io/,spherely: Manipulation and analysis of geometric objects on the sphere.,benbovy,2023-02-09,2022-11-24,14,5.683168316831683,[],2023-01-12,2,0,0.79,12,10,3,2,0,0,0,12.0,20.0,90.0,1.7,25.23642
+1003,finance,https://github.com/quantopian/empyrical,,,,quantopian/empyrical,empyrical,1034,339,72,Python,https://quantopian.github.io/empyrical,empyrical: Common financial risk and performance metrics. Used by zipline and pyfolio.,quantopian,2023-03-03,2016-03-18,363,2.8462445930003932,[],2020-10-14,22,4,0.0,0,0,85,29,0,4,4,0.0,0.0,90.0,0.0,24.89436
+562,gis,https://github.com/geopandas/xyzservices,,,,geopandas/xyzservices,xyzservices,87,19,11,Python,https://xyzservices.readthedocs.io/,xyzservices: Source of XYZ tiles providers,geopandas,2023-02-24,2021-05-21,93,0.9326186830015314,[],2023-03-01,17,4,0.94,2,2,22,0,5,9,5,2.0,0.0,90.0,0.0,24.78305
+168,gis,https://github.com/openeventdata/mordecai,,,,openeventdata/mordecai,mordecai,694,93,36,Python,,mordecai: Full text geoparsing as a Python library,openeventdata,2023-02-25,2016-06-23,349,1.9860997547015535,"['geoparsing', 'geonames', 'nlp', 'geocoding', 'spacy', 'toponym-resolution']",2021-02-01,6,4,0.0,4,1,81,25,0,1,1,4.0,5.0,90.0,1.2,24.73353
+656,util,https://github.com/rasbt/watermark,,,,rasbt/watermark,watermark,768,82,13,Python,,"watermark: An IPython magic extension for printing date and time stamps, version numbers, and hardware information",rasbt,2023-03-03,2014-07-30,448,1.7121019108280255,"['python', 'magic-extension', 'jupyter', 'ipython']",2022-09-13,17,7,0.06,0,0,105,6,1,2,1,0.0,0.0,90.0,0.0,24.72267
+392,pandas,https://github.com/tkrabel/bamboolib,,,,tkrabel/bamboolib,bamboolib,884,95,31,Jupyter Notebook,https://bamboolib.com,bamboolib - a GUI for pandas DataFrames,tkrabel,2023-03-02,2019-05-29,196,4.497093023255814,"['pandas', 'pandas-dataframes', 'jupyter-notebook', 'jupyterlab', 'python']",2022-09-27,4,3,0.19,0,0,46,5,0,0,0,0.0,0.0,90.0,0.0,24.6082
+921,gis,https://github.com/radiantearth/radiant-mlhub,,,,radiantearth/radiant-mlhub,radiant-mlhub,46,10,5,Python,https://radiant-mlhub.readthedocs.io/,radiant-mlhub: A Python client for the Radiant MLHub API (https://mlhub.earth).,radiantearth,2023-02-02,2020-10-13,124,0.36884306987399773,"['machine-learning', 'satellite-imagery', 'python', 'python-client', 'python-3', 'stac']",2023-02-13,9,4,1.19,13,9,29,1,6,8,6,13.0,8.0,90.0,0.6,24.41065
+375,viz,https://github.com/vhranger/nodevectors,,,,vhranger/nodevectors,nodevectors,458,53,11,Python,,nodevectors: Fastest network node embeddings in the west,vhranger,2023-03-03,2019-07-25,188,2.4306292645943897,[],2021-11-06,6,2,0.0,5,2,44,16,0,3,3,5.0,4.0,90.0,0.8,24.39879
+1008,finance,https://github.com/cuemacro/findatapy,1.0,,,cuemacro/findatapy,findatapy,1297,183,91,Python,,"findatapy: Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.",cuemacro,2023-03-04,2016-08-03,343,3.775051975051975,"['market-data', 'quandl', 'bloomberg', 'dukascopy', 'arctic', 'fred', 'python-api', 'eikon']",2022-08-24,7,1,0.13,1,0,80,6,2,4,2,1.0,0.0,90.0,0.0,24.39661
+307,crypto,https://github.com/ethereum/eth-utils,,,,ethereum/eth-utils,eth-utils,270,141,18,Python,https://eth-utils.readthedocs.io/en/latest/,eth-utils: Utility functions for working with ethereum related codebases.,ethereum,2023-02-13,2017-02-07,316,0.8525033829499323,"['ethereum', 'python', 'utility-library']",2022-11-17,31,2,0.31,3,2,74,4,0,10,10,3.0,1.0,90.0,0.3,24.39311
+316,util,https://github.com/irmen/pyminiaudio,,,,irmen/pyminiaudio,pyminiaudio,130,16,3,C,,"pyminiaudio: python interface to the miniaudio audio playback, recording, decoding and conversion library",irmen,2023-03-01,2019-06-30,192,0.6770833333333334,[],2023-02-09,4,1,0.4,4,1,45,1,6,8,6,4.0,9.0,90.0,2.2,24.13748
+342,term,https://github.com/rockhopper-technologies/enlighten,,,,rockhopper-technologies/enlighten,enlighten,278,19,4,Python,https://python-enlighten.readthedocs.io,Enlighten Progress Bar for Python Console Apps,rockhopper-technologies,2023-03-03,2017-09-22,284,0.9778894472361809,['python'],2023-02-04,5,1,0.73,4,1,66,1,3,5,3,4.0,5.0,90.0,1.2,23.989
+1017,finance,https://github.com/gbeced/basana,,,,gbeced/basana,basana,2,0,1,Python,,"basana: A Python event driven framework for algorithmic trading, with a focus on crypto currencies.",gbeced,2023-03-05,2023-03-04,0,14.0,[],2023-03-05,2,0,0.15,0,0,0,0,0,0,0,0.0,0.0,90.0,0.0,23.98157
+848,profiling,https://github.com/kshitij12345/torchnnprofiler,,,,kshitij12345/torchnnprofiler,torchnnprofiler,75,3,4,Python,,torchnnprofiler: Context Manager to profile the forward and backward times of PyTorch's nn.Module,kshitij12345,2023-02-28,2022-10-22,19,3.917910447761194,[],2022-11-02,1,1,0.96,3,2,4,4,0,0,0,3.0,7.0,90.0,2.3,23.95656
+276,crypto,https://github.com/ethtx/ethtx_ce,,,,ethtx/ethtx_ce,ethtx_ce,242,60,13,Python,https://ethtx.info,ethtx_ce: Ethereum transaction decoder (community version).,ethtx,2023-03-01,2021-07-26,83,2.885860306643952,[],2022-12-22,7,2,0.58,8,7,20,2,0,0,0,8.0,1.0,90.0,0.1,23.93652
+899,util,https://github.com/ofek/pypinfo,,,,ofek/pypinfo,pypinfo,356,31,14,Python,,pypinfo: Easily view PyPI download statistics via Google's BigQuery.,ofek,2023-02-20,2017-05-13,303,1.1743638077285579,"['python', 'bigquery', 'pypi', 'statistics']",2022-11-30,9,6,0.29,0,0,71,3,0,4,4,0.0,0.0,90.0,0.0,23.92656
+464,data,https://github.com/dmarx/psaw,,,,dmarx/psaw,psaw,343,55,9,Python,,psaw: Python Pushshift.io API Wrapper (for comment/submission search),dmarx,2023-03-03,2018-04-15,255,1.3450980392156864,[],2022-07-09,8,3,0.04,4,1,59,8,0,0,0,4.0,8.0,90.0,2.0,23.76492
+454,gis,https://github.com/openaddresses/pyesridump,,,,openaddresses/pyesridump,pyesridump,260,60,16,Python,,pyesridump: Scrapes an ESRI MapServer REST endpoint to spit out more generally-usable geodata.,openaddresses,2023-03-03,2013-12-06,482,0.5390995260663507,[],2023-02-01,12,7,0.4,3,0,112,1,2,2,2,3.0,0.0,90.0,0.0,23.68371
+306,crypto,https://github.com/palkeo/panoramix,,,,palkeo/panoramix,panoramix,564,154,31,Python,,panoramix: Ethereum decompiler,palkeo,2023-03-03,2020-02-17,158,3.550359712230216,[],2020-08-22,4,2,0.0,7,2,37,31,0,1,1,7.0,5.0,90.0,0.7,23.67186
+1020,finance,https://github.com/quandl/quandl-python,,,,quandl/quandl-python,quandl-python,1291,342,129,Python,,quandl/quandl-python,quandl,2023-03-02,2013-03-24,519,2.48747591522158,"['python', 'quandl', 'api-client', 'retrieve-data', 'dataset', 'data-frame']",2021-12-08,36,2,0.0,0,0,121,15,0,2,2,0.0,0.0,90.0,0.0,23.62146
+555,ml,https://github.com/nicolas-chaulet/torch-points3d,,,,nicolas-chaulet/torch-points3d,torch-points3d,133,32,0,,https://torch-points3d.readthedocs.io/en/latest/,torch-points3d: Pytorch framework for doing deep learning on point clouds.,nicolas-chaulet,2023-02-28,2022-01-09,60,2.216666666666667,[],2021-12-10,29,5,0.0,0,0,14,15,0,9,9,0.0,0.0,90.0,0.0,23.59047
+889,util,https://github.com/pyodide/micropip,,,,pyodide/micropip,micropip,16,5,5,Python,https://micropip.pyodide.org,micropip: A lightweight Python package installer for Pyodide,pyodide,2023-01-26,2022-09-15,24,0.6549707602339181,"['package-installer', 'pyodide', 'python', 'webassembly']",2023-03-04,6,1,0.73,27,24,6,0,0,8,8,27.0,32.0,90.0,1.2,23.43804
+335,ml,https://github.com/mrdbourke/m1-machine-learning-test,,,,mrdbourke/m1-machine-learning-test,m1-machine-learning-test,379,120,12,Jupyter Notebook,,m1-machine-learning-test: Code for testing various M1 Chip benchmarks with TensorFlow.,mrdbourke,2023-03-02,2021-11-14,68,5.573529411764706,"['tensorflow', 'tensorflow-macos', 'metal', 'machine-learning']",2022-07-16,2,0,0.02,1,0,16,8,0,0,0,1.0,2.0,90.0,2.0,23.33605
+887,graph,https://github.com/h4kor/graph-force,,,,h4kor/graph-force,graph-force,164,0,9,Rust,https://pypi.org/project/graph-force/,"graph-force: Python library for embedding large graphs in 2D space, using force-directed layouts.",h4kor,2023-03-02,2022-11-28,13,11.835051546391753,"['force-directed-graphs', 'graph-algorithms', 'python', 'python3']",2022-11-28,2,0,0.77,0,0,3,3,0,0,0,0.0,0.0,90.0,0.0,23.25938
+466,nlp,https://github.com/infinitylogesh/mutate,,,,infinitylogesh/mutate,mutate,140,11,3,Python,,mutate: A library to synthesize text datasets using Large Language Models (LLM),infinitylogesh,2023-02-16,2021-12-29,61,2.273781902552204,"['nlp-library', 'text-generation', 'language-model', 'data-augmentation', 'data-labeling']",2023-01-17,2,1,0.17,3,3,14,2,0,0,0,3.0,7.0,90.0,2.3,23.25223
+670,perf,https://github.com/markshannon/faster-cpython,,,,markshannon/faster-cpython,faster-cpython,901,21,84,,,faster-cpython: How to make CPython faster.,markshannon,2023-02-27,2020-10-19,123,7.2745098039215685,[],2020-10-28,4,2,0.0,0,0,29,29,0,0,0,0.0,0.0,90.0,0.0,23.20995
+160,nlp,https://github.com/nipunsadvilkar/pysbd,,,,nipunsadvilkar/pysbd,pySBD,575,67,10,Python,,pySBD: 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,nipunsadvilkar,2023-02-28,2017-06-11,299,1.9230769230769231,"['sentence-boundary-detection', 'python', 'segmentation', 'rule-based', 'sentence-tokenizer', 'sentence']",2021-02-11,6,2,0.0,3,1,70,25,0,3,3,3.0,3.0,90.0,1.0,23.19562
+744,data,https://github.com/ktrueda/parquet-tools,,,,ktrueda/parquet-tools,parquet-tools,97,13,3,Python,,parquet-tools: easy install parquet-tools,ktrueda,2023-03-01,2020-05-02,148,0.6547733847637416,"['parquet', 'parquet-tools', 'cli']",2023-01-18,12,4,0.19,7,5,35,2,2,6,2,7.0,4.0,90.0,0.6,23.07936
+909,security,https://github.com/abnamro/repository-scanner,,,,abnamro/repository-scanner,repository-scanner,58,3,6,Python,,repository-scanner: Tool to detect secrets in source code management systems.,abnamro,2023-03-01,2022-09-08,25,2.2808988764044944,[],2023-03-03,6,0,0.88,26,23,6,0,5,10,5,26.0,2.0,90.0,0.1,22.98185
+188,math,https://github.com/dit/dit,,,,dit/dit,dit,431,78,24,Python,http://docs.dit.io,dit: Python package for information theory.,dit,2023-03-02,2013-09-29,492,0.8760162601626016,"['python', 'information-theory']",2022-07-25,20,3,0.19,1,0,115,7,1,3,1,1.0,1.0,90.0,1.0,22.95203
+500,study,https://github.com/googlecloudplatform/practical-ml-vision-book,,,,googlecloudplatform/practical-ml-vision-book,practical-ml-vision-book,326,147,19,Jupyter Notebook,,googlecloudplatform/practical-ml-vision-book,googlecloudplatform,2023-03-04,2020-11-18,119,2.7264038231780168,[],2022-11-21,6,1,0.08,1,0,28,3,0,0,0,1.0,1.0,90.0,1.0,22.52473
+528,nlp,https://github.com/hazyresearch/fonduer,,,,hazyresearch/fonduer,fonduer,390,79,27,Python,https://fonduer.readthedocs.io/,fonduer: A knowledge base construction engine for richly formatted data,hazyresearch,2023-01-27,2018-02-02,265,1.4701130856219708,"['multimodality', 'machine-learning', 'knowledge-base-construction']",2021-06-23,14,6,0.0,0,0,62,21,0,6,6,0.0,0.0,90.0,0.0,22.48393
+329,ml-dl,https://github.com/facebookresearch/ppuda,,,,facebookresearch/ppuda,ppuda,467,60,19,Python,,ppuda: Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021),facebookresearch,2023-02-23,2021-10-21,71,6.538,[],2022-07-26,3,1,0.19,0,0,17,7,0,0,0,0.0,0.0,90.0,0.0,22.42087
+385,nlp,https://github.com/kootenpv/contractions,,,,kootenpv/contractions,contractions,273,35,7,Python,,contractions: Fixes contractions such as `you're` to `you are`,kootenpv,2023-03-01,2016-12-25,323,0.8452012383900929,[],2022-11-15,14,4,0.1,1,1,75,4,0,0,0,1.0,1.0,90.0,1.0,22.33163
+277,data,https://github.com/airbnb/omniduct,,,,airbnb/omniduct,omniduct,243,49,30,Python,,"omniduct: A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).",airbnb,2023-02-19,2017-02-22,314,0.7724795640326976,[],2022-05-09,12,5,0.04,1,1,73,10,1,12,1,1.0,1.0,90.0,1.0,22.18582
+817,time-series,https://github.com/salesforce/deeptime,,,,salesforce/deeptime,DeepTime,212,36,7,Python,,PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting,salesforce,2023-03-03,2022-06-27,35,5.912350597609562,"['deep-learning', 'forecasting', 'meta-learning', 'time-series', 'time-series-forecasting', 'time-series-regression', 'implicit-neural-representation']",2022-11-03,2,0,0.21,3,1,8,4,0,0,0,3.0,2.0,90.0,0.7,22.01797
+205,debug,https://github.com/alexmojaki/heartrate,,,,alexmojaki/heartrate,heartrate,1614,124,33,Python,,heartrate: Simple real time visualisation of the execution of a Python program.,alexmojaki,2023-03-01,2019-04-24,201,8.007087172218284,"['python', 'visualization', 'debugger']",2021-11-13,3,0,0.0,1,0,47,16,0,0,0,1.0,0.0,90.0,0.0,21.99772
+234,crypto,https://github.com/blockchainsllc/in3,,,,blockchainsllc/in3,in3,66,19,12,C,https://in3.readthedocs.io/en/develop/index.html,in3: The IN3 client (written in C).,blockchainsllc,2023-01-30,2019-09-17,180,0.3652173913043478,"['blockchain', 'verify', 'crypto-economic', 'ethereum', 'ipfs']",2022-04-01,35,3,0.73,1,0,42,11,0,27,27,1.0,1.0,90.0,1.0,21.92645
+519,gis,https://github.com/scikit-geometry/scikit-geometry,,,,scikit-geometry/scikit-geometry,scikit-geometry,360,50,14,Jupyter Notebook,https://scikit-geometry.github.io/scikit-geometry,scikit-geometry: Scientific Python Geometric Algorithms Library,scikit-geometry,2023-01-20,2016-03-28,361,0.9948677457560205,"['cgal', 'geometry', 'python', 'geometric-algorithms', 'wrapper']",2022-10-14,15,6,0.04,4,0,84,5,0,0,0,4.0,1.0,90.0,0.2,21.8309
+573,gis,https://github.com/developmentseed/label-maker,,,,developmentseed/label-maker,label-maker,443,112,53,Python,http://devseed.com/label-maker/,label-maker: Data Preparation for Satellite Machine Learning,developmentseed,2023-01-20,2018-01-10,268,1.649468085106383,"['satellite-imagery', 'data-preparation', 'deep-learning', 'computer-vision', 'remote-sensing', 'keras']",2020-11-19,15,6,0.0,0,0,63,28,0,3,3,0.0,0.0,90.0,0.0,21.71432
+243,ml,https://github.com/carla-recourse/carla,,,,carla-recourse/carla,CARLA,207,49,5,Python,,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms,carla-recourse,2023-02-28,2020-12-09,116,1.775735294117647,"['python', 'machine-learning', 'artificial-intelligence', 'explainable-ai', 'explainable-ml', 'explainability', 'counterfactual-explanations', 'counterfactuals', 'counterfactual', 'recourse', 'benchmark', 'benchmarking', 'tensorflow', 'tensorflow2', 'pytorch']",2023-02-22,7,1,0.65,8,6,27,0,0,0,0,8.0,0.0,90.0,0.0,21.69299
+971,data,https://github.com/vmiklos/ged2dot,,,,vmiklos/ged2dot,ged2dot,87,17,6,Python,https://vmiklos.hu/ged2dot/,ged2dot: GEDCOM to Graphviz converter,vmiklos,2023-02-12,2013-11-01,487,0.1785400175901495,"['gedcom', 'dot', 'python', 'libreoffice']",2023-02-26,9,2,0.88,16,16,114,0,2,2,2,16.0,0.0,90.0,0.0,21.48477
+572,gis,https://github.com/developmentseed/landsat-util,,,,developmentseed/landsat-util,landsat-util,685,155,128,Python,,"landsat-util: A utility to search, download and process Landsat 8 satellite imagery",developmentseed,2023-02-22,2014-08-01,448,1.5280433397068196,[],2018-07-30,24,7,0.0,0,0,105,56,0,2,2,0.0,0.0,90.0,0.0,21.47893
+983,nlp,https://github.com/yixinl7/brio,,,,yixinl7/brio,BRIO,222,38,2,Python,,ACL 2022: BRIO: Bringing Order to Abstractive Summarization,yixinl7,2023-03-03,2022-03-15,50,4.377464788732395,"['nlp', 'text-summarization']",2022-11-06,1,0,0.46,4,2,12,4,0,0,0,4.0,4.0,90.0,1.0,21.40987
+334,util,https://github.com/clarete/forbiddenfruit,,,,clarete/forbiddenfruit,forbiddenfruit,758,49,28,Python,https://clarete.li/forbiddenfruit/,forbiddenfruit: Patch built-in python objects,clarete,2023-02-26,2013-04-03,517,1.464532155672095,"['python', 'monkey-patching']",2022-03-12,15,5,0.0,0,0,121,16,0,1,1,0.0,0.0,90.0,0.0,21.40534
+266,nlp,https://github.com/allenai/s2orc-doc2json,,,,allenai/s2orc-doc2json,s2orc-doc2json,183,36,6,Python,,"s2orc-doc2json: Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)",allenai,2023-02-26,2020-12-10,116,1.5717791411042945,[],2022-12-09,9,3,0.12,3,2,27,3,0,0,0,3.0,1.0,90.0,0.3,21.15328
+333,util,https://github.com/gondolav/pyfuncol,,,,gondolav/pyfuncol,pyfuncol,32,2,3,Python,https://pyfuncol.readthedocs.io/,pyfuncol: Functional collections extension functions for Python,gondolav,2022-11-16,2021-12-16,63,0.5045045045045045,"['functional', 'collections', 'python', 'parallel', 'python3', 'extension-functions']",2023-02-27,4,1,0.73,29,24,15,0,1,6,1,29.0,35.0,90.0,1.2,21.13072
+449,gis,https://github.com/residentmario/geoplot,1.0,,,residentmario/geoplot,geoplot,1054,91,35,Python,https://residentmario.github.io/geoplot/index.html,geoplot: High-level geospatial data visualization library for Python.,residentmario,2023-03-03,2016-06-29,348,3.023770491803279,"['geospatial-visualization', 'geospatial-data', 'matplotlib', 'geopandas', 'spatial-analysis']",2022-03-18,5,1,0.04,3,0,81,12,1,3,1,3.0,0.0,90.0,0.0,21.12218
+229,data,https://github.com/microsoft/genalog,,,,microsoft/genalog,genalog,244,24,10,Jupyter Notebook,https://microsoft.github.io/genalog/,"Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.",microsoft,2023-02-28,2020-06-15,141,1.7200402819738168,"['ner', 'ocr-recognition', 'python', 'text-alignment', 'data-generation', 'data-science', 'machine-learning', 'synthetic-data', 'synthetic-images', 'synthetic-data-generation']",2023-02-14,7,1,0.04,1,1,33,1,0,3,3,1.0,0.0,90.0,0.0,21.09837
+473,ml-dl,https://github.com/nyandwi/modernconvnets,,,,nyandwi/modernconvnets,ModernConvNets,306,32,7,Jupyter Notebook,,ModernConvNets: Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras,nyandwi,2023-02-17,2022-02-10,55,5.520618556701031,"['convnets', 'deep-learning-algorithms', 'computer-vision', 'tensorflow', 'keras', 'convolutional-neural-networks', 'neural-networks', 'image-classification', 'cnns']",2022-10-05,1,1,0.4,0,0,13,5,0,0,0,0.0,0.0,90.0,0.0,20.73258
+364,ml-ops,https://github.com/kubeflow/fairing,,,,kubeflow/fairing,fairing,327,147,39,Jsonnet,,"fairing: Python SDK for building, training, and deploying ML models",kubeflow,2023-02-23,2018-09-03,234,1.3923357664233578,[],2021-08-26,41,5,0.0,0,0,55,18,0,1,1,0.0,0.0,90.0,0.0,20.68332
+845,gis,https://github.com/mapbox/mercantile,,,,mapbox/mercantile,mercantile,349,61,117,Python,,mercantile: Spherical mercator tile and coordinate utilities,mapbox,2023-03-03,2014-02-12,472,0.7385126964933495,"['satellite', 'pxm', 'imagery']",2021-10-22,20,6,0.0,0,0,110,17,0,4,4,0.0,0.0,90.0,0.0,20.67111
+463,data,https://github.com/psycoguana/subredditmediadownloader,,,,psycoguana/subredditmediadownloader,SubredditMediaDownloader,112,8,3,Python,,SubredditMediaDownloader: Simple Python script to download images and videos from public subreddits without using Reddit's API 😎,psycoguana,2023-02-19,2022-02-18,54,2.0631578947368423,[],2023-01-17,2,0,0.37,1,1,13,2,0,0,0,1.0,3.0,90.0,3.0,20.56942
+241,ml,https://github.com/microsoft/focal-transformer,,,,microsoft/focal-transformer,Focal-Transformer,494,58,17,Python,,"Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for ""Focal Self-attention for Local-Global Interactions in Vision Transformers""",microsoft,2023-03-03,2021-07-10,86,5.734660033167496,[],2022-03-27,2,1,0.04,0,0,20,11,0,0,0,0.0,0.0,90.0,0.0,20.54816
+453,gis,https://github.com/googlecloudplatform/dataflow-geobeam,,,,googlecloudplatform/dataflow-geobeam,dataflow-geobeam,67,25,10,Python,,googlecloudplatform/dataflow-geobeam,googlecloudplatform,2023-02-19,2021-02-04,108,0.6179183135704874,[],2022-11-29,5,3,0.62,1,0,25,3,0,2,2,1.0,1.0,90.0,1.0,20.06785
+558,gis,https://github.com/darribas/gds_env,,,,darribas/gds_env,gds_env,93,36,9,Jupyter Notebook,https://darribas.org/gds_env,gds_env: A containerised platform for Geographic Data Science,darribas,2022-11-16,2016-08-12,342,0.2717028380634391,"['geographic-data-science', 'docker', 'python', 'r', 'latex', 'jupyter-lab']",2022-12-09,8,4,0.79,5,1,80,3,1,2,1,5.0,2.0,90.0,0.4,19.95155
+819,pandas,https://github.com/ddelange/mapply,,,,ddelange/mapply,mapply,39,3,4,Python,,mapply: Sensible multi-core apply function for Pandas,ddelange,2023-02-15,2020-10-26,122,0.3174418604651163,[],2023-03-04,1,0,0.31,6,5,29,0,10,8,10,6.0,10.0,90.0,1.7,19.80476
+259,crypto,https://github.com/pmaji/crypto-whale-watching-app,,,,pmaji/crypto-whale-watching-app,crypto-whale-watching-app,555,135,48,Python,,crypto-whale-watching-app: Python Dash app that tracks whale activity in cryptocurrency markets.,pmaji,2023-02-08,2018-01-23,266,2.080878414568827,"['gdax', 'python', 'cryptocurrency', 'ethereum', 'litecoin', 'bitcoin', 'cryptocurrency-exchanges', 'python3', 'dash', 'ethereum-blockchain', 'bitcoin-api', 'bitcoin-price', 'cryptocurrency-price-ticker', 'cryptocurrency-prices', 'litecoin-price', 'ethereum-price', 'gdax-api', 'gdax-python', 'plotly', 'plotly-dash']",2022-12-08,8,1,0.06,1,1,62,3,0,0,0,1.0,0.0,90.0,0.0,19.75056
+515,data,https://github.com/jovianml/opendatasets,,,,jovianml/opendatasets,opendatasets,252,123,13,Python,,"opendatasets: A Python library for downloading datasets from Kaggle, Google Drive, and other online sources.",jovianml,2023-03-04,2020-09-17,128,1.9621802002224693,"['data-science', 'machine-learning', 'datasets', 'python']",2022-11-01,3,2,0.13,3,0,30,4,0,0,0,3.0,1.0,90.0,0.3,19.5915
+665,gis,https://github.com/zorzi-s/polyworldpretrainednetwork,,,,zorzi-s/polyworldpretrainednetwork,PolyWorldPretrainedNetwork,100,15,7,Python,,PolyWorldPretrainedNetwork: PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images,zorzi-s,2023-03-03,2022-03-23,49,2.0172910662824206,[],2022-11-10,1,0,0.4,4,2,12,4,0,0,0,4.0,11.0,90.0,2.8,19.42704
+167,nlp,https://github.com/lexpredict/lexpredict-lexnlp,,,,lexpredict/lexpredict-lexnlp,lexpredict-lexnlp,588,158,49,HTML,,lexpredict-lexnlp: LexNLP by LexPredict,lexpredict,2023-03-02,2017-09-30,283,2.0766902119071644,"['nlp', 'ml', 'legal', 'legaltech', 'linguistics', 'law', 'contracts', 'analytics', 'data']",2022-08-10,8,0,0.06,5,1,66,7,0,0,0,5.0,4.0,90.0,0.8,19.4203
+211,time-series,https://github.com/firmai/atspy,,,,firmai/atspy,atspy,476,88,20,Python,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3580631,AtsPy: Automated Time Series Models in Python (by @firmai),firmai,2023-03-04,2020-01-28,161,2.943462897526502,"['time-series', 'time-series-analysis', 'automated', 'python', 'forecasting', 'forecasting-models', 'finance']",2021-12-18,5,2,0.0,1,0,38,15,0,0,0,1.0,0.0,90.0,0.0,19.11488
+758,study,https://github.com/jackhidary/quantumcomputingbook,,,,jackhidary/quantumcomputingbook,quantumcomputingbook,636,188,55,Jupyter Notebook,,quantumcomputingbook: Companion site for the textbook Quantum Computing: An Applied Approach,jackhidary,2023-03-02,2019-02-28,209,3.0368349249658935,"['quantum', 'quantum-computing', 'cirq', 'qiskit', 'rigetti', 'quantum-processor', 'sycamore', 'quantum-supremacy', 'quantum-information', 'quantum-information-science', 'google-quantum']",2021-10-14,8,1,0.0,2,1,49,17,0,0,0,2.0,0.0,90.0,0.0,19.11
+481,sim,https://github.com/udst/urbansim,,,,udst/urbansim,urbansim,423,125,78,Python,https://udst.github.io/urbansim/,urbansim: Platform for building statistical models of cities and regions,udst,2023-02-17,2013-08-15,498,0.8486672398968186,[],2020-05-11,20,6,0.0,2,0,116,34,0,1,1,2.0,0.0,90.0,0.0,19.06483
+1019,finance,https://github.com/daxm/fmpsdk,,,,daxm/fmpsdk,fmpsdk,93,37,9,Python,,fmpsdk: SDK for Financial Modeling Prep's (FMP) API,daxm,2023-02-23,2020-12-06,117,0.7948717948717948,[],2022-10-12,11,2,0.27,3,0,27,5,0,0,0,3.0,4.0,90.0,1.3,18.85191
+691,data,https://github.com/paperswithcode/sota-extractor,,,,paperswithcode/sota-extractor,sota-extractor,253,28,13,Python,,sota-extractor: The SOTA extractor pipeline,paperswithcode,2023-03-03,2018-12-07,221,1.1433182698515172,[],2022-03-09,8,3,0.02,0,0,52,12,0,4,4,0.0,0.0,90.0,0.0,18.85103
+705,util,https://github.com/brandon-rhodes/python-patterns,,,,brandon-rhodes/python-patterns,python-patterns,1021,93,254,Python,,python-patterns: Source code behind the python-patterns.guide site by Brandon Rhodes,brandon-rhodes,2023-03-02,2018-01-31,265,3.844540075309306,[],2021-01-05,4,1,0.0,0,0,62,26,0,0,0,0.0,0.0,90.0,0.0,18.80759
+965,math,https://github.com/albahnsen/pycircular,1.0,,,albahnsen/pycircular,pycircular,64,3,5,Python,,pycircular is a Python module for circular data analysis,albahnsen,2023-03-01,2022-09-12,24,2.574712643678161,[],2023-01-21,5,0,0.83,13,3,6,1,1,2,1,13.0,0.0,90.0,0.0,18.75123
+786,study,https://github.com/mynameisfiber/high_performance_python_2e,,,,mynameisfiber/high_performance_python_2e,high_performance_python_2e,306,100,6,Python,,"high_performance_python_2e: Code for the book ""High Performance Python 2e"" by Micha Gorelick and Ian Ozsvald with OReilly ",mynameisfiber,2023-02-16,2020-04-12,151,2.0264900662251657,"['python', 'high-performance', 'code-samples', 'oreilly', 'oreilly-books']",2023-01-18,2,2,0.02,0,0,35,2,0,0,0,0.0,0.0,90.0,0.0,18.60444
+834,gis,https://github.com/r-barnes/richdem,,,,r-barnes/richdem,richdem,201,59,14,C++,,richdem: High-performance Terrain and Hydrology Analysis ,r-barnes,2023-02-28,2013-01-06,530,0.37924528301886795,"['digital-elevation-model', 'geosciences', 'geospatial', 'hydrology', 'hydrologic-modeling', 'big-data']",2022-11-18,4,2,0.56,5,1,124,4,0,2,2,5.0,1.0,90.0,0.2,18.34394
+632,profiling,https://github.com/csurfer/pyheat,,,,csurfer/pyheat,pyheat,740,40,13,Python,,pyheat: pprofile + matplotlib = Python program profiled as an awesome heatmap!,csurfer,2023-03-03,2017-02-04,317,2.3333333333333335,"['profiling', 'python', 'heatmap', 'matplotlib']",2021-09-18,5,2,0.0,0,0,74,18,0,0,0,0.0,0.0,90.0,0.0,18.21133
+300,nlp,https://github.com/openai/grade-school-math,,,,openai/grade-school-math,grade-school-math,310,65,9,Python,,openai/grade-school-math,openai,2023-03-04,2021-10-20,71,4.331337325349302,[],2021-11-19,2,1,0.0,2,0,17,16,0,0,0,2.0,0.0,90.0,0.0,18.21076
+587,data,https://github.com/tokern/data-lineage,,,,tokern/data-lineage,data-lineage,244,28,8,Python,https://tokern.io/data-lineage/,data-lineage: Generate and Visualize Data Lineage from query history,tokern,2023-02-27,2020-03-17,154,1.577100646352724,"['data-lineage', 'data-governance', 'python', 'postgresql', 'jupyter']",2022-05-02,4,0,0.04,6,1,36,11,0,9,9,6.0,2.0,90.0,0.3,18.14532
+844,gis,https://github.com/remotesensinglab/raster4ml,,,,remotesensinglab/raster4ml,raster4ml,106,12,4,Python,https://raster4ml.readthedocs.io,raster4ml: A geospatial raster processing library for machine learning,remotesensinglab,2023-03-02,2022-07-11,33,3.130801687763713,"['agriculture-research', 'data-science', 'geospatial-data', 'machine-learning', 'remote-sensing', 'vegetation', 'vegetation-index', 'python']",2022-11-01,1,1,0.96,0,0,8,4,1,2,1,0.0,0.0,90.0,0.0,18.12914
+987,sim,https://github.com/alephalpha/golly,,,,alephalpha/golly,golly,29,9,5,C++,http://sourceforge.net/projects/golly/,"Golly, a Game of Life simulator (unofficial mirror from SourceForge)",alephalpha,2023-02-27,2018-07-10,242,0.11948204826368453,"['game-of-life', 'cellular-automata']",2023-02-25,22,4,1.12,0,0,57,0,0,0,0,0.0,0.0,90.0,0.0,18.03498
+915,ml-ops,https://github.com/anyscale/airflow-provider-ray,,,,anyscale/airflow-provider-ray,airflow-provider-ray,32,10,13,Python,,airflow-provider-ray: Ray provider for Apache Airflow,anyscale,2022-11-16,2021-03-05,104,0.30684931506849317,[],2021-10-03,8,5,0.0,1,0,24,17,0,0,0,1.0,3.0,90.0,3.0,18.02795
+686,ml-dl,https://github.com/jerryyli/valhalla-nmt,,,,jerryyli/valhalla-nmt,valhalla-nmt,23,4,1,Python,,"valhalla-nmt: Code repository for CVPR 2022 paper ""VALHALLA: Visual Hallucination for Machine Translation""",jerryyli,2023-02-11,2022-03-22,49,0.46264367816091956,"['computer-vision', 'machine-translation', 'multimodal-learning', 'natural-language-processing']",2023-02-19,3,1,0.33,2,1,12,0,2,2,2,2.0,2.0,90.0,1.0,17.85029
+415,ml-dl,https://github.com/rafiqhasan/auto-tensorflow,,,,rafiqhasan/auto-tensorflow,auto-tensorflow,174,34,13,Python,,auto-tensorflow: Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/,rafiqhasan,2023-02-17,2021-07-05,86,2.0032894736842106,"['tensorflow', 'deeplearning', 'neural-networks', 'machinelearning', 'tfx', 'machine-learning', 'automl', 'auto-tensorflow', 'autotensorflow']",2022-12-09,1,1,0.1,0,0,20,3,2,5,2,0.0,0.0,90.0,0.0,17.26038
+117,nlp,https://github.com/iclrandd/blackstone,,,,iclrandd/blackstone,Blackstone,588,93,38,Python,https://research.iclr.co.uk,Blackstone: :black_circle: A spaCy pipeline and model for NLP on unstructured legal text.,iclrandd,2023-02-27,2019-03-25,205,2.856349757113116,"['law', 'caselaw', 'nlp', 'spacy-models', 'legaltech']",2021-01-31,8,1,0.0,0,0,48,25,0,0,0,0.0,0.0,90.0,0.0,17.17785
+494,ml-dl,https://github.com/hysts/pytorch_image_classification,,,,hysts/pytorch_image_classification,pytorch_image_classification,1179,292,27,Python,,pytorch_image_classification: PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet,hysts,2023-03-03,2017-12-09,273,4.316422594142259,"['pytorch', 'computer-vision', 'cifar10', 'fashion-mnist', 'imagenet']",2021-12-12,1,0,0.0,0,0,64,15,0,0,0,0.0,0.0,90.0,0.0,17.13307
+742,ml-ops,https://github.com/aiqc/aiqc,,,,aiqc/aiqc,AIQC,91,20,4,Jupyter Notebook,,AIQC: End-to-end deep learning on your desktop or server.,aiqc,2023-02-18,2020-12-02,117,0.7739975698663426,[],2022-12-16,8,2,6.54,0,0,27,3,0,0,0,0.0,0.0,90.0,0.0,17.09792
+430,jupyter,https://github.com/chaoleili/jupyterlab_tensorboard,,,,chaoleili/jupyterlab_tensorboard,jupyterlab_tensorboard,297,36,11,TypeScript,,jupyterlab_tensorboard: Tensorboard extension for jupyterlab.,chaoleili,2023-02-28,2018-08-14,237,1.2493990384615385,"['jupyterlab-extension', 'tensorboard', 'jupyterlab']",2022-07-18,7,3,0.0,0,0,55,8,0,0,0,0.0,0.0,90.0,0.0,17.03636
+210,util,https://github.com/tiangolo/poetry-version-plugin,,,,tiangolo/poetry-version-plugin,poetry-version-plugin,275,24,5,Python,,poetry-version-plugin: Poetry plugin for dynamically extracting the package version from a __version__ variable or a Git tag.,tiangolo,2023-03-02,2021-05-27,92,2.975270479134467,"['python-poetry', 'packaging', 'python', 'python3', 'pypi', 'packaging-for-pypi']",2021-05-28,3,1,0.0,1,0,22,22,0,1,1,1.0,0.0,90.0,0.0,16.98453
+1009,viz,https://github.com/cuemacro/chartpy,,,,cuemacro/chartpy,chartpy,510,98,48,Python,,"chartpy: Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more",cuemacro,2023-02-27,2016-08-03,343,1.4844074844074844,"['plotting', 'chart', 'matplotlib', 'bokeh', 'plotly']",2022-11-02,1,1,0.12,0,0,80,4,1,2,1,0.0,0.0,90.0,0.0,16.95571
+527,ml,https://github.com/hazyresearch/domino,,,,hazyresearch/domino,domino,104,16,20,Python,,hazyresearch/domino,hazyresearch,2023-02-15,2021-11-29,65,1.579175704989154,[],2022-08-02,6,0,1.08,1,0,15,7,1,5,1,1.0,1.0,90.0,1.0,16.89151
+457,nlp,https://github.com/coastalcph/lex-glue,,,,coastalcph/lex-glue,lex-glue,104,24,7,Python,,lex-glue: LexGLUE: A Benchmark Dataset for Legal Language Understanding in English,coastalcph,2023-03-03,2021-09-27,74,1.3893129770992367,"['legal', 'nlp', 'benchmark', 'legaltech', 'lawtech']",2022-11-04,2,0,0.38,1,1,17,4,0,0,0,1.0,2.0,90.0,2.0,16.75881
+917,ml-ops,https://github.com/anyscale/prefect-anyscale,,,,anyscale/prefect-anyscale,prefect-anyscale,6,1,3,Python,,prefect-anyscale: Prefect integration with Anyscale,anyscale,2023-02-20,2022-11-07,16,0.3559322033898305,[],2023-03-02,1,1,0.46,11,9,4,0,8,24,8,11.0,4.0,90.0,0.4,16.68959
+400,study,https://github.com/dylanhogg/crazy-awesome-python,,,,dylanhogg/crazy-awesome-python,crazy-awesome-python,53,8,3,HTML,https://www.awesomepython.org/,"crazy-awesome-python: A curated list of awesome Python frameworks, with a bias towards data and machine learning",dylanhogg,2023-02-17,2020-06-20,141,0.37550607287449395,"['python', 'python-data', 'awesome-list', 'python-machine-learning', 'python-nlp', 'python-frameworks', 'python-library', 'data', 'machine-learning', 'natural-language-processing']",2023-03-03,2,1,1.56,2,2,33,0,0,2,2,2.0,0.0,90.0,0.0,16.64426
+472,nlp,https://github.com/google-research/byt5,,,,google-research/byt5,byt5,413,25,11,Python,,google-research/byt5,google-research,2023-02-15,2021-05-26,92,4.46141975308642,[],2022-03-02,2,0,0.0,0,0,22,12,0,0,0,0.0,0.0,90.0,0.0,16.35762
+303,util,https://github.com/airbnb/ottr,,,,airbnb/ottr,ottr,261,30,7,Python,,ottr: Serverless Public Key Infrastructure Framework,airbnb,2023-02-26,2021-08-27,79,3.291891891891892,[],2022-01-04,2,1,0.0,0,0,18,14,0,0,0,0.0,0.0,90.0,0.0,16.17565
+534,ml-dl,https://github.com/benedekrozemberczki/tigerlily,,,,benedekrozemberczki/tigerlily,tigerlily,90,9,1,Jupyter Notebook,,TigerLily: Finding drug interactions in silico with the Graph.,benedekrozemberczki,2023-03-01,2022-02-28,52,1.7027027027027026,"['node', 'embedding', 'node-embedding', 'graph-embedding', 'ddi', 'drug-drug-interaction', 'gradient-boosting', 'graph', 'pharmaceuticals', 'network-science', 'biology', 'heterogeneous-graph', 'knowledge-graph', 'deep-learning', 'machine-learning', 'unsupervised-learning', 'tigergraph', 'graph-database', 'graph-machine-learning']",2022-12-17,1,1,1.9,0,0,12,3,1,1,1,0.0,0.0,90.0,0.0,16.14229
+533,gis,https://github.com/gdaosu/lod2buildingmodel,,,,gdaosu/lod2buildingmodel,LOD2BuildingModel,104,23,9,Python,,LOD2BuildingModel: SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto,gdaosu,2023-02-25,2021-08-30,78,1.318840579710145,[],2022-07-21,2,1,0.4,2,0,18,8,0,0,0,2.0,2.0,90.0,1.0,16.04109
+690,util,https://github.com/paperswithcode/axcell,,,,paperswithcode/axcell,axcell,349,56,13,Python,,axcell: Tools for extracting tables and results from Machine Learning papers,paperswithcode,2023-03-02,2019-06-27,192,1.81365998515219,[],2021-06-23,7,2,0.0,0,0,45,21,0,0,0,0.0,0.0,90.0,0.0,16.00872
+574,gis,https://github.com/developmentseed/geolambda,,,,developmentseed/geolambda,geolambda,282,85,50,Dockerfile,,geolambda: Create and deploy Geospatial AWS Lambda functions,developmentseed,2023-02-28,2017-05-02,304,0.9254571026722925,[],2021-02-16,6,3,0.0,2,0,71,25,0,1,1,2.0,0.0,90.0,0.0,15.928
+970,data,https://github.com/nickreynke/python-gedcom,,,,nickreynke/python-gedcom,python-gedcom,122,31,16,Python,https://nickreynke.github.io/python-gedcom/gedcom/index.html,"python-gedcom: Python module for parsing, analyzing, and manipulating GEDCOM files",nickreynke,2023-03-03,2018-01-09,268,0.4540138224348751,"['python', 'gedcom', 'parser', 'gedcom-parser']",2021-06-03,16,3,0.0,2,1,63,21,0,2,2,2.0,0.0,90.0,0.0,15.68733
+851,util,https://github.com/backtick-se/cowait,,,,backtick-se/cowait,cowait,55,5,8,Python,https://cowait.io,cowait: Containerized distributed programming framework for Python,backtick-se,2022-11-16,2019-09-18,180,0.3045886075949367,"['python', 'task-scheduler', 'data-science', 'data-engineering', 'spark', 'dask', 'kubernetes', 'docker', 'workflow-engine']",2022-09-22,10,2,0.19,6,0,42,5,3,13,3,6.0,0.0,90.0,0.0,15.68088
+567,sim,https://github.com/gboeing/pynamical,,,,gboeing/pynamical,pynamical,567,109,31,Python,https://geoffboeing.com/publications/nonlinear-chaos-fractals-prediction/,"Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.",gboeing,2023-02-24,2014-09-28,440,1.2886363636363636,"['chaos', 'nonlinear', 'fractal', 'logistic', 'visualization', 'modeling', 'animation', 'math', 'physics', 'python', 'pandas', 'numba', 'numpy', 'matplotlib', 'ipynb', 'bifurcation-diagram', 'fractals', 'systems', 'phase-diagram', 'cobweb-plot']",2022-05-24,1,1,0.13,0,0,103,9,0,1,1,0.0,0.0,90.0,0.0,15.51282
+931,ml,https://github.com/pgniewko/forward_forward_vhts,,,,pgniewko/forward_forward_vhts,forward_forward_vhts,28,5,1,Jupyter Notebook,,forward_forward_vhts: The Forward-Forward Algorithm for Drug Discovery,pgniewko,2023-02-18,2022-12-29,9,2.9696969696969697,[],2022-12-30,1,1,0.12,1,1,2,2,0,0,0,1.0,0.0,90.0,0.0,15.4995
+248,util,https://github.com/rpgreen/apilogs,,,,rpgreen/apilogs,apilogs,249,19,9,Python,,apilogs: Easy logging and debugging for Amazon API Gateway and AWS Lambda Serverless APIs,rpgreen,2023-02-10,2016-09-07,338,0.7354430379746836,"['api', 'gateway', 'api-gateway', 'aws', 'cloudwatch-logs', 'logging', 'lambda', 'aws-lambda', 'aws-apigateway']",2019-11-13,23,5,0.0,0,0,79,40,0,0,0,0.0,0.0,90.0,0.0,15.47093
+497,ml-dl,https://github.com/mcahny/deep-video-inpainting,,,,mcahny/deep-video-inpainting,Deep-Video-Inpainting,463,88,14,Python,,"Deep-Video-Inpainting: Official pytorch implementation for ""Deep Video Inpainting"" (CVPR 2019)",mcahny,2023-02-19,2019-05-22,197,2.343456254519161,[],2020-12-10,3,1,0.0,2,0,46,27,0,0,0,2.0,0.0,90.0,0.0,15.43459
+663,study,https://github.com/rasbt/stat453-deep-learning-ss20,,,,rasbt/stat453-deep-learning-ss20,stat453-deep-learning-ss20,523,154,36,Jupyter Notebook,http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/,stat453-deep-learning-ss20: STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020),rasbt,2023-03-02,2020-01-20,162,3.2114035087719297,[],2020-05-01,1,1,0.0,0,0,38,35,0,0,0,0.0,0.0,90.0,0.0,15.30155
+461,nlp,https://github.com/yoadtew/zero-shot-image-to-text,,,,yoadtew/zero-shot-image-to-text,zero-shot-image-to-text,182,26,7,Python,,zero-shot-image-to-text: Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic,yoadtew,2023-03-02,2021-11-26,66,2.7456896551724137,[],2022-09-17,6,0,0.08,2,0,15,6,0,0,0,2.0,0.0,90.0,0.0,15.22648
+779,gis,https://github.com/ghislainv/forestatrisk,,,,ghislainv/forestatrisk,forestatrisk,96,21,4,Python,https://ecology.ghislainv.fr/forestatrisk,forestatrisk: :package: :snake: Python package to model and forecast the risk of deforestation,ghislainv,2023-02-21,2016-12-01,326,0.29409190371991245,"['python', 'land-use-change', 'spatial-modelling', 'spatial-analysis', 'forecasting', 'spatial-autocorrelation', 'tropical-forests', 'roads', 'protected-areas', 'biodiversity-scenario', 'ipbes', 'co2-emissions', 'ipcc', 'forest-cover-change', 'deforestation', 'deforestation-risk', 'redd']",2022-08-23,6,5,0.12,1,0,76,6,0,0,0,1.0,0.0,90.0,0.0,15.16837
+339,perf,https://github.com/tlkh/tf-metal-experiments,,,,tlkh/tf-metal-experiments,tf-metal-experiments,193,20,11,Jupyter Notebook,,tf-metal-experiments: TensorFlow Metal Backend on Apple Silicon Experiments (just for fun),tlkh,2023-02-28,2021-10-26,70,2.7292929292929293,"['gpu', 'deep-learning', 'tensorflow', 'm1', 'm1-max', 'benchmark', 'bert']",2021-11-15,2,1,0.0,2,0,16,16,0,0,0,2.0,0.0,90.0,0.0,15.13024
+499,ml-dl,https://github.com/researchmm/sttn,,,,researchmm/sttn,STTN,362,72,20,Jupyter Notebook,https://arxiv.org/abs/2007.10247,[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting,researchmm,2023-03-04,2020-07-10,138,2.6177685950413223,"['video-inpainting', 'completing-videos', 'transformer', 'spatial-temporal']",2021-07-26,2,1,0.0,0,0,32,20,0,0,0,0.0,0.0,90.0,0.0,15.12493
+936,web,https://github.com/dmontagu/fastapi_client,,,,dmontagu/fastapi_client,fastapi_client,296,39,8,Python,,fastapi_client: FastAPI client generator,dmontagu,2023-02-23,2019-08-03,187,1.581679389312977,[],2021-02-11,8,2,0.0,0,0,44,25,0,0,0,0.0,0.0,90.0,0.0,15.0916
+774,sim,https://github.com/activitysim/populationsim,,,,activitysim/populationsim,populationsim,40,28,11,Jupyter Notebook,https://activitysim.github.io/populationsim,populationsim: An Open Platform for Population Synthesis,activitysim,2023-02-15,2017-02-14,315,0.12669683257918551,"['python', 'data-science', 'population-synthesis', 'activitysim', 'bsd-3-clause', 'microsimulation']",2021-11-19,9,2,0.0,5,1,74,16,0,1,1,5.0,4.0,90.0,0.8,14.98652
+896,gis,https://github.com/kuanb/peartree,,,,kuanb/peartree,peartree,192,17,13,Python,,peartree: A library for converting transit data into a directed graph for sketch network analysis.,kuanb,2023-02-16,2017-11-12,277,0.6931407942238267,"['network-analysis', 'transit', 'graphs', 'gtfs', 'spatial-analysis', 'gis', 'modeling']",2021-01-18,5,2,0.0,2,0,65,26,0,3,3,2.0,0.0,90.0,0.0,14.67433
+535,gis,https://github.com/cloudsen12/easystac,,,,cloudsen12/easystac,easystac,60,1,3,Python,https://easystac.readthedocs.io/,easystac: A Python package for simple STAC queries,cloudsen12,2023-02-20,2022-01-20,58,1.0268948655256724,"['stac', 'remote-sensing', 'gis', 'earth-observation', 'python', 'python3', 'spatio-temporal', 'spatio-temporal-data', 'planetary-computer', 'radiant']",2022-08-07,3,3,0.08,0,0,14,7,0,1,1,0.0,0.0,90.0,0.0,14.63089
+374,data,https://github.com/ndrplz/google-drive-downloader,,,,ndrplz/google-drive-downloader,google-drive-downloader,252,62,11,Python,,google-drive-downloader: Minimal class to download shared files from Google Drive.,ndrplz,2023-02-21,2017-12-08,273,0.9221118661787768,[],2019-02-09,4,1,0.0,5,1,64,49,0,0,0,5.0,5.0,90.0,1.0,14.42047
+662,study,https://github.com/rasbt/stat451-machine-learning-fs20,,,,rasbt/stat451-machine-learning-fs20,stat451-machine-learning-fs20,343,180,18,Jupyter Notebook,,stat451-machine-learning-fs20: STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020),rasbt,2023-02-28,2020-08-06,134,2.55154091392136,[],2020-12-03,1,1,0.0,0,0,31,27,0,0,0,0.0,0.0,90.0,0.0,13.97295
+749,gis,https://github.com/edomel/boundaryvt,,,,edomel/boundaryvt,BoundaryVT,1,0,2,Python,,edomel/boundaryvt,edomel,2022-12-19,2022-07-29,31,0.0319634703196347,[],2023-02-24,4,1,0.19,1,1,7,0,0,0,0,1.0,2.0,90.0,2.0,13.91341
+578,term,https://github.com/matthewdeanmartin/terminaltables,,,,matthewdeanmartin/terminaltables,terminaltables,25,5,0,Python,https://robpol86.github.io/terminaltables,terminaltables: Generate simple tables in terminals from a nested list of strings.,matthewdeanmartin,2023-02-16,2021-12-04,65,0.38377192982456143,[],2022-01-30,10,2,0.0,1,0,15,13,0,12,12,1.0,0.0,90.0,0.0,13.89404
+1015,finance,https://github.com/mementum/bta-lib,,,,mementum/bta-lib,bta-lib,401,97,25,Python,,bta-lib: Technical Analysis library in pandas for backtesting algotrading and quantitative analysis,mementum,2023-02-26,2020-01-31,161,2.486271036315323,[],2020-03-11,1,0,0.0,1,1,38,36,0,2,2,1.0,0.0,90.0,0.0,13.85594
+940,sim,https://github.com/crflynn/stochastic,,,,crflynn/stochastic,stochastic,332,64,15,Python,http://stochastic.readthedocs.io/en/stable/,stochastic: Generate realizations of stochastic processes in python.,crflynn,2023-02-24,2017-02-17,315,1.053013140009062,"['stochastic-processes', 'stochastic', 'stochastic-differential-equations', 'probability', 'stochastic-volatility-models', 'stochastic-simulation-algorithm']",2022-07-12,7,0,0.06,1,0,74,8,1,0,1,1.0,0.0,90.0,0.0,13.58582
+202,crypto,https://github.com/nerolation/ethereum-datafarm,,,,nerolation/ethereum-datafarm,ethereum-datafarm,48,10,1,Python,,ethereum-datafarm: Scrap blockchain data from the public API of Etherscan.io,nerolation,2023-02-26,2021-03-13,103,0.46537396121883656,[],2023-02-25,1,1,1.71,0,0,24,0,0,0,0,0.0,0.0,90.0,0.0,13.28586
+520,gis,https://github.com/lydorn/polygonization-by-frame-field-learning,,,,lydorn/polygonization-by-frame-field-learning,Polygonization-by-Frame-Field-Learning,215,54,11,Python,,Polygonization-by-Frame-Field-Learning: This repository contains the code for our fast polygonal building extraction from overhead images pipeline.,lydorn,2023-02-26,2020-05-26,144,1.4856860809476802,"['segmentation', 'polygonization', 'remote', 'sensing', 'frame', 'field']",2022-12-09,1,0,0.13,4,0,34,3,0,0,0,4.0,0.0,90.0,0.0,13.07562
+1039,finance,https://github.com/wilsonfreitas/python-bizdays,,,,wilsonfreitas/python-bizdays,python-bizdays,62,30,7,Jupyter Notebook,http://wilsonfreitas.github.io/python-bizdays/,python-bizdays: Business days calculations and utilities,wilsonfreitas,2023-02-17,2013-09-01,496,0.125,[],2023-01-20,6,1,0.29,0,0,116,1,0,0,0,0.0,0.0,90.0,0.0,12.9365
+249,sim,https://github.com/bilhim/trafficsimulator,,,,bilhim/trafficsimulator,trafficSimulator,222,83,16,Python,,bilhim/trafficsimulator,bilhim,2023-03-03,2021-09-05,78,2.8461538461538463,[],2021-09-07,2,0,0.0,1,0,18,18,0,0,0,1.0,0.0,90.0,0.0,12.7804
+401,crypto,https://github.com/dylanhogg/crazy-awesome-crypto,,,,dylanhogg/crazy-awesome-crypto,crazy-awesome-crypto,48,15,4,Python,https://www.awesomecrypto.xyz/,crazy-awesome-crypto: A list of awesome crypto and blockchain projects,dylanhogg,2023-02-23,2021-09-27,74,0.6412213740458015,"['crypto', 'cryptocurrency', 'blockchain', 'bitcoin', 'ethereum', 'awesome-list', 'data', 'data-analysis', 'github', 'awesome']",2023-02-13,1,1,0.31,0,0,17,1,0,1,1,0.0,0.0,90.0,0.0,12.68598
+964,ml-dl,https://github.com/suanrong/sdne,,,,suanrong/sdne,SDNE,310,123,10,Python,http://www.kdd.org/kdd2016/subtopic/view/structural-deep-network-embedding,SDNE: This is a implementation of SDNE (Structural Deep Network embedding),suanrong,2023-01-04,2016-11-30,326,0.9492563429571304,[],2021-09-10,6,1,0.0,0,0,76,18,0,0,0,0.0,0.0,90.0,0.0,12.54141
+529,nlp,https://github.com/hazyresearch/fonduer-tutorials,,,,hazyresearch/fonduer-tutorials,fonduer-tutorials,97,25,18,Jupyter Notebook,https://github.com/HazyResearch/fonduer,fonduer-tutorials: A collection of simple tutorials for using Fonduer,hazyresearch,2023-02-28,2018-03-23,258,0.37555309734513276,[],2020-05-27,6,3,0.0,0,0,60,34,0,2,2,0.0,0.0,90.0,0.0,12.48512
+783,util,https://github.com/brokenloop/jsontopydantic,,,,brokenloop/jsontopydantic,jsontopydantic,160,8,3,TypeScript,https://jsontopydantic.com,jsontopydantic: Web tool for generating Pydantic models from JSON objects,brokenloop,2023-03-04,2020-11-28,118,1.3542926239419588,[],2022-05-13,2,0,0.06,2,0,28,10,0,0,0,2.0,1.0,90.0,0.5,12.47494
+231,template,https://github.com/crmne/cookiecutter-modern-datascience,,,,crmne/cookiecutter-modern-datascience,cookiecutter-modern-datascience,143,29,3,Python,,cookiecutter-modern-datascience: Start a data science project with modern tools,crmne,2023-03-02,2020-07-06,138,1.0298353909465021,"['cookiecutter', 'cookiecutter-template', 'cookiecutter-data-science', 'python', 'datascience']",2022-06-10,2,1,0.02,2,0,32,9,0,0,0,2.0,0.0,90.0,0.0,12.15742
+340,term,https://github.com/federicoceratto/dashing,,,,federicoceratto/dashing,dashing,347,30,9,Python,https://dashing.readthedocs.io/en/latest/,dashing: Terminal dashboards for Python,federicoceratto,2023-02-22,2017-06-03,300,1.1561161351737268,"['python', 'python3', 'terminal', 'dashboard', 'terminal-based', 'gauges', 'charts']",2020-09-06,2,1,0.0,0,0,70,30,0,0,0,0.0,0.0,90.0,0.0,11.46226
+290,template,https://github.com/eugeneyan/python-collab-template,,,,eugeneyan/python-collab-template,python-collab-template,127,37,4,Python,https://eugeneyan.com/writing/setting-up-python-project-for-automation-and-collaboration/,"python-collab-template: 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.",eugeneyan,2023-01-24,2020-06-21,141,0.900709219858156,"['python', 'unit-testing', 'linting', 'type-checking', 'github-actions', 'makefile', 'coverage', 'hacktoberfest']",2022-07-02,2,1,0.04,0,0,33,8,0,0,0,0.0,0.0,90.0,0.0,11.33268
+269,term,https://github.com/deeplook/sparklines,,,,deeplook/sparklines,sparklines,84,6,3,Python,,sparklines: Text-based sparkline command line mimicking those of Edward Tuft.,deeplook,2022-12-28,2016-05-17,354,0.23681031010873943,"['python', 'command-line-tool', 'graphs', 'ascii', 'sparklines', 'sparkline-graphs']",2021-06-26,7,3,0.0,0,0,83,21,0,0,0,0.0,0.0,90.0,0.0,11.19837
+530,ml,https://github.com/brohrer/cottonwood,,,,brohrer/cottonwood,cottonwood,74,13,14,Python,https://end-to-end-machine-learning.teachable.com/p/write-a-neural-network-framework/,cottonwood: A flexible neural network framework for running experiments and trying ideas.,brohrer,2023-02-11,2019-09-29,179,0.4134078212290503,[],2020-02-02,3,2,0.0,0,0,42,38,0,4,4,0.0,0.0,90.0,0.0,11.1903
+33,gis,https://github.com/jasonrig/address-net,,,,jasonrig/address-net,address-net,176,72,13,Python,,address-net: A package to structure Australian addresses,jasonrig,2023-02-24,2018-12-05,221,0.7943262411347518,"['rnn', 'deep-learning', 'machine-learning', 'address-parser']",2020-09-09,2,2,0.0,1,0,52,30,0,0,0,1.0,0.0,90.0,0.0,11.17018
+677,util,https://github.com/markhershey/arxiv-dl,,,,markhershey/arxiv-dl,arxiv-dl,16,4,2,Python,https://pypi.org/project/arxiv-dl/,"arxiv-dl: Command-line ArXiv & CVF (CVPR, ICCV, WACV) Paper Downloader",markhershey,2022-12-02,2021-01-21,110,0.1448900388098318,"['arxiv', 'paper', 'downloader', 'command-line-tool', 'paper-with-code', 'cvpr']",2023-01-30,2,0,0.37,2,0,26,1,1,3,1,2.0,1.0,90.0,0.5,10.84751
+741,study,https://github.com/koaning/calm-notebooks,,,,koaning/calm-notebooks,calm-notebooks,172,148,7,Jupyter Notebook,https://calmcode.io,calm-notebooks: notebooks that are used at calmcode.io,koaning,2023-03-01,2020-03-01,157,1.0955414012738853,[],2021-10-21,1,1,0.0,0,0,37,17,0,0,0,0.0,0.0,90.0,0.0,10.63846
+240,sim,https://github.com/nv-tlabs/gamegan_code,,,,nv-tlabs/gamegan_code,GameGAN_code,206,35,10,Python,,GameGAN_code: Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020),nv-tlabs,2023-02-23,2020-12-11,116,1.7714987714987716,[],2021-11-11,2,0,0.0,0,0,27,16,0,0,0,0.0,0.0,90.0,0.0,10.57492
+502,gis,https://github.com/gregorhd/mapcompare,,,,gregorhd/mapcompare,mapcompare,28,0,2,Python,,mapcompare: Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.,gregorhd,2022-12-06,2021-05-21,93,0.3001531393568147,"['visualisation-libraries', 'sample-visualisation', 'comparison', 'data-visualisation', 'data-viz', 'urban-data-science', 'interactive-visualisations']",2022-12-03,1,1,0.04,0,0,22,3,0,2,2,0.0,0.0,90.0,0.0,10.35935
+305,util,https://github.com/xrudelis/pytrait,,,,xrudelis/pytrait,pytrait,123,3,3,Python,,pytrait: Traits for Python3,xrudelis,2023-02-15,2021-11-21,67,1.835820895522388,[],2021-11-27,2,0,0.0,0,0,16,15,0,0,0,0.0,0.0,90.0,0.0,10.00459
+729,gis,https://github.com/bowenc0221/boundary-iou-api,,,,bowenc0221/boundary-iou-api,boundary-iou-api,179,19,8,Python,,boundary-iou-api: Boundary IoU API (Beta version),bowenc0221,2023-02-28,2021-03-29,100,1.774787535410765,[],2021-04-05,2,0,0.0,0,0,23,23,0,0,0,0.0,0.0,90.0,0.0,9.71775
+890,sim,https://github.com/crowdbotp/socialways,,,,crowdbotp/socialways,socialways,111,45,9,Python,,socialways: Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019),crowdbotp,2023-01-26,2019-04-23,201,0.5502832861189801,"['trajectory-prediction', 'human-trajectory-prediction', 'gan', 'social-navigation', 'social-ways', 'pedestrian-trajectories', 'pedestrian', 'social-gan', 'social-robots', 'generative-adversarial-network', 'trajectory-forecasting', 'self-driving-car', 'prediction-model', 'info-gan', 'crowd-simulation']",2020-03-20,3,2,0.0,0,0,47,36,0,0,0,0.0,0.0,90.0,0.0,9.44736
+709,gis,https://github.com/artelys/geonetworkx,,,,artelys/geonetworkx,geonetworkx,29,1,7,Python,,geonetworkx: Python tools for geographic graphs,artelys,2022-12-22,2019-10-24,175,0.16530944625407165,[],2021-06-28,6,1,0.0,0,0,41,20,0,2,2,0.0,0.0,90.0,0.0,8.93175
+386,nlp,https://github.com/ferdinandzhong/punctuator,,,,ferdinandzhong/punctuator,punctuator,36,5,1,Python,,punctuator: A small seq2seq punctuator tool based on DistilBERT,ferdinandzhong,2023-02-07,2020-11-19,119,0.3014354066985646,"['bert', 'nlp', 'seq2seq', 'punctuation', 'deep-learning', 'pytorch', 'bert-ner', 'chinese-nlp']",2022-09-28,4,0,0.17,0,0,28,5,2,2,2,0.0,0.0,90.0,0.0,8.81934
+916,study,https://github.com/anyscale/rl-course,,,,anyscale/rl-course,rl-course,18,1,5,Jupyter Notebook,,anyscale/rl-course,anyscale,2023-03-03,2022-03-01,52,0.34146341463414637,[],2023-01-02,2,0,4.94,0,0,12,2,0,0,0,0.0,0.0,90.0,0.0,8.5912
+891,sim,https://github.com/crowddynamics/crowddynamics,,,,crowddynamics/crowddynamics,crowddynamics,28,9,9,Python,https://jaantollander.com/post/how-to-implement-continuous-time-multi-agent-crowd-simulation/,crowddynamics: Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.,crowddynamics,2023-01-31,2016-03-22,362,0.0771957463568334,"['crowd-dynamics', 'multi-agent', 'continuous-time', 'crowd-simulation']",2020-01-02,7,2,0.0,1,0,85,39,0,0,0,1.0,0.0,90.0,0.0,8.38713
+420,template,https://github.com/dylanhogg/python-project-template,,,,dylanhogg/python-project-template,python-project-template,1,0,2,Python,,python-project-template: A quick-start Python project template with helpful functionality and common libraries.,dylanhogg,2022-08-19,2020-02-12,159,0.006266786034019696,"['python', 'template', 'jupyterlab', 'cookiecutter']",2022-08-19,2,1,0.04,2,0,37,7,0,1,1,2.0,0.0,90.0,0.0,8.16732
+37,math,https://github.com/jszymon/pacal,,,,jszymon/pacal,pacal,21,8,6,Python,,PaCAL - ProbAbilistic CALculator,jszymon,2022-11-02,2014-08-04,447,0.04688995215311005,[],2022-11-02,8,0,0.04,0,0,104,4,0,0,0,0.0,0.0,90.0,0.0,8.13389
+568,sim,https://github.com/gboeing/street-network-models,,,,gboeing/street-network-models,street-network-models,64,4,2,Python,https://osf.io/f2dqc,street-network-models: Street network models and indicators for every urban area in the world,gboeing,2022-12-13,2020-04-13,150,0.42424242424242425,[],2021-03-05,1,1,0.0,0,0,35,24,0,0,0,0.0,0.0,90.0,0.0,6.75235
+666,gis,https://github.com/zorzi-s/projectregularization,,,,zorzi-s/projectregularization,projectRegularization,82,8,2,Python,,projectRegularization: Regularization of Building Boundaries using Adversarial and Regularized losses,zorzi-s,2023-03-03,2021-05-18,93,0.875,[],2021-09-17,1,0,0.0,1,0,22,18,0,0,0,1.0,0.0,90.0,0.0,6.67464
+147,graph,https://github.com/guyallard/markov_clustering,,,,guyallard/markov_clustering,markov_clustering,134,34,9,Python,,markov_clustering: markov clustering in python,guyallard,2023-02-27,2017-09-27,283,0.472544080604534,"['markov-clustering', 'clustering', 'python', 'networks']",2018-12-11,3,0,0.0,1,0,66,51,0,0,0,1.0,0.0,90.0,0.0,5.52744
+908,data,https://github.com/malloydata/malloy-py,,,,malloydata/malloy-py,malloy-py,3,1,4,Python,,malloy-py: Python package for executing Malloy,malloydata,2023-02-07,2022-11-02,17,0.17073170731707318,"['business-analytics', 'business-intelligence', 'data', 'data-modeling', 'python', 'sql', 'semantic-modeling']",2023-01-17,1,0,1.02,0,0,4,2,1,15,1,0.0,0.0,90.0,0.0,5.10935
+700,data,https://github.com/harangju/wikinet,,,,harangju/wikinet,wikinet,10,5,3,Jupyter Notebook,,wikinet: Python library for exploring networks of hyperlinked Wikipedia articles,harangju,2022-12-16,2019-08-05,186,0.053516819571865444,[],2022-01-25,6,0,0.0,0,0,44,13,0,0,0,0.0,0.0,90.0,0.0,4.59704
+485,gis,https://github.com/scisco/area,,,,scisco/area,area,87,20,3,Python,,area: Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python,scisco,2022-12-14,2015-11-25,379,0.22920587128340233,[],2018-10-31,3,0,0.0,0,0,89,53,0,0,0,0.0,0.0,90.0,0.0,4.12888
+521,gis,https://github.com/lydorn/mapalignment,,,,lydorn/mapalignment,mapalignment,58,14,4,Python,,mapalignment: Aligning and Updating Cadaster Maps with Remote Sensing Images,lydorn,2023-02-27,2018-09-05,234,0.24725943970767356,[],2020-09-03,2,0,0.0,0,0,55,30,0,0,0,0.0,0.0,90.0,0.0,4.07507
+180,sim,https://github.com/artemyk/dynpy,,,,artemyk/dynpy,dynpy,6,5,3,Python,,dynpy: Dynamical systems for Python,artemyk,2022-12-27,2014-09-12,442,0.013565891472868217,[],2018-09-28,5,0,0.0,0,0,103,54,0,0,0,0.0,0.0,90.0,0.0,3.18366
+996,time-series,https://github.com/zackeskin/pycausality,,,,zackeskin/pycausality,PyCausality,67,22,6,Python,,PyCausality: Calculate predictive causality between time series using information-theoretic techniques,zackeskin,2023-02-21,2018-07-26,240,0.2786690433749257,[],2018-12-24,1,0,0.0,0,0,56,51,0,0,0,0.0,0.0,90.0,0.0,2.96998
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index 6e36cc1..a1ff036 100644
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\ No newline at end of file
diff --git a/github_tags_data.json b/github_tags_data.json
index 5b3756e..a9426d5 100644
--- a/github_tags_data.json
+++ b/github_tags_data.json
@@ -2,12 +2,11 @@
     "ai": "ai",
     "airflow": "airflow",
     "algorithm": "algorithm",
+    "algorithmic-trading": "algorithmic-trading",
     "analytics": "analytics",
     "anomaly-detection": "anomaly-detection",
-    "apache-airflow": "apache-airflow",
     "api": "api",
     "artificial-intelligence": "artificial-intelligence",
-    "arxiv": "arxiv",
     "asgi": "asgi",
     "async": "async",
     "asynchronous": "asynchronous",
@@ -24,13 +23,14 @@
     "big-data": "big-data",
     "bitcoin": "bitcoin",
     "c-plus-plus": "c-plus-plus",
+    "chatgpt": "chatgpt",
     "classification": "classification",
     "cli": "cli",
     "closember": "closember",
     "compiler": "compiler",
     "computer-vision": "computer-vision",
     "cookiecutter": "cookiecutter",
-    "crawler": "crawler",
+    "cpp": "cpp",
     "cross-platform": "cross-platform",
     "crypto": "crypto",
     "cryptocurrency": "cryptocurrency",
@@ -62,6 +62,7 @@
     "explainable-ai": "explainable-ai",
     "fastapi": "fastapi",
     "feature-engineering": "feature-engineering",
+    "finance": "finance",
     "flask": "flask",
     "forecasting": "forecasting",
     "framework": "framework",
@@ -69,6 +70,7 @@
     "gdal": "gdal",
     "geospatial": "geospatial",
     "gis": "gis",
+    "gpt": "gpt",
     "gpu": "gpu",
     "graph-neural-networks": "graph-neural-networks",
     "gui": "gui",
@@ -81,19 +83,22 @@
     "hyperparameter-optimization": "hyperparameter-optimization",
     "hyperparameter-tuning": "hyperparameter-tuning",
     "image-classification": "image-classification",
+    "image-generation": "image-generation",
     "image-processing": "image-processing",
     "inference": "inference",
+    "information-retrieval": "information-retrieval",
     "interpretability": "interpretability",
+    "investment": "investment",
     "ipython": "ipython",
     "javascript": "javascript",
     "jax": "jax",
     "json": "json",
-    "json-schema": "json-schema",
     "jupyter": "jupyter",
     "jupyter-notebook": "jupyter-notebook",
     "jupyterlab": "jupyterlab",
     "jupyterlab-extension": "jupyterlab-extension",
     "keras": "keras",
+    "knowledge-graph": "knowledge-graph",
     "kubernetes": "kubernetes",
     "language-model": "language-model",
     "library": "library",
@@ -107,12 +112,11 @@
     "mapping": "mapping",
     "maps": "maps",
     "markdown": "markdown",
+    "market-data": "market-data",
     "matplotlib": "matplotlib",
     "ml": "ml",
     "mlops": "mlops",
-    "models": "models",
     "mxnet": "mxnet",
-    "named-entity-recognition": "named-entity-recognition",
     "natural-language-processing": "natural-language-processing",
     "neural-network": "neural-network",
     "neural-networks": "neural-networks",
@@ -127,13 +131,11 @@
     "openapi": "openapi",
     "opengl": "opengl",
     "openstreetmap": "openstreetmap",
-    "optimization": "optimization",
-    "orm": "orm",
-    "packaging": "packaging",
     "pallets": "pallets",
     "pandas": "pandas",
     "pandas-dataframe": "pandas-dataframe",
     "parallel": "parallel",
+    "pep8": "pep8",
     "performance": "performance",
     "pipeline": "pipeline",
     "plotly": "plotly",
@@ -150,6 +152,7 @@
     "python-3": "python-3",
     "python-library": "python-library",
     "pytorch": "pytorch",
+    "quantitative-finance": "quantitative-finance",
     "r": "r",
     "raster": "raster",
     "regression": "regression",
@@ -157,6 +160,7 @@
     "remote-sensing": "remote-sensing",
     "rest": "rest",
     "satellite-imagery": "satellite-imagery",
+    "science": "science",
     "scikit-learn": "scikit-learn",
     "security": "security",
     "semantic-search": "semantic-search",
@@ -169,32 +173,28 @@
     "sql": "sql",
     "sqlalchemy": "sqlalchemy",
     "stable-diffusion": "stable-diffusion",
-    "starlette": "starlette",
     "static-analysis": "static-analysis",
     "static-code-analysis": "static-code-analysis",
     "statistics": "statistics",
     "streamlit": "streamlit",
-    "super-resolution": "super-resolution",
     "swagger": "swagger",
     "tensorflow": "tensorflow",
     "terminal": "terminal",
     "testing": "testing",
-    "text-classification": "text-classification",
     "text-to-image": "text-to-image",
-    "time": "time",
     "time-series": "time-series",
     "time-series-analysis": "time-series-analysis",
+    "trading": "trading",
+    "trading-strategies": "trading-strategies",
     "transfer-learning": "transfer-learning",
     "transformer": "transformer",
     "transformers": "transformers",
     "trio": "trio",
     "visualization": "visualization",
     "web": "web",
-    "web-framework": "web-framework",
     "windows": "windows",
     "word-embeddings": "word-embeddings",
     "workflow": "workflow",
     "wsgi": "wsgi",
-    "xarray": "xarray",
-    "xgboost": "xgboost"
+    "xarray": "xarray"
 }
\ No newline at end of file
