From 07e58e504380614a2ab48e78570728695f8cec62 Mon Sep 17 00:00:00 2001 From: Dylan Hogg 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 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,,, 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+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,,, 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+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 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" + ", ".join(sorted(topics)) + "" - if len(topics) > 0 - else "" - ) + topics_display = "\n" + ", ".join(sorted(topics)) + "" 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 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 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 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 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 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 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 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: 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\ No newline at end of file From 6e3bbb33cadbd23b41ba35152687dd47a37e84fe Mon Sep 17 00:00:00 2001 From: Dylan Hogg 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//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 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', 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"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 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 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 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 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 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 @@ - + @@ -31,7 +31,7 @@ - +