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323 | security | https://github.com/pyupio/safety | [] | null | [] | [] | null | null | null | pyupio/safety | safety | 1,571 | 138 | 32 | Python | https://pyup.io/safety/ | Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected. | pyupio | 2024-01-12 | 2016-10-19 | 379 | 4.135765 | https://avatars.githubusercontent.com/u/16113910?v=4 | Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected. | ['security', 'security-vulnerability', 'travis', 'vulnerability-detection', 'vulnerability-scanners'] | ['security', 'security-vulnerability', 'travis', 'vulnerability-detection', 'vulnerability-scanners'] | 2023-11-15 | [('trailofbits/pip-audit', 0.7114713788032532, 'security', 1), ('aswinnnn/pyscan', 0.6276425123214722, 'security', 2), ('sonatype-nexus-community/jake', 0.607435405254364, 'security', 1), ('jazzband/pip-tools', 0.5792787671089172, 'util', 0), ('facebookincubator/bowler', 0.5631865859031677, 'util', 0), ('facebook/pyre-... | 41 | 4 | null | 0.44 | 12 | 1 | 88 | 2 | 0 | 8 | 8 | 12 | 11 | 90 | 0.9 | 38 |
1,261 | llm | https://github.com/ist-daslab/gptq | [] | null | [] | [] | null | null | null | ist-daslab/gptq | gptq | 1,533 | 118 | 28 | Python | https://arxiv.org/abs/2210.17323 | Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers". | ist-daslab | 2024-01-13 | 2022-10-19 | 66 | 22.929487 | https://avatars.githubusercontent.com/u/35098403?v=4 | Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers". | [] | [] | 2023-07-11 | [('karpathy/mingpt', 0.7072771787643433, 'llm', 0), ('huggingface/optimum', 0.6178866624832153, 'ml', 0), ('openai/image-gpt', 0.6169224381446838, 'llm', 0), ('alignmentresearch/tuned-lens', 0.5439256429672241, 'ml-interpretability', 0), ('eleutherai/knowledge-neurons', 0.53592449426651, 'ml-interpretability', 0), ('ni... | 5 | 3 | null | 0.29 | 8 | 2 | 15 | 6 | 0 | 0 | 0 | 8 | 5 | 90 | 0.6 | 38 |
1,330 | llm | https://github.com/jina-ai/thinkgpt | ['chain-of-thought', 'language-model'] | null | [] | [] | null | null | null | jina-ai/thinkgpt | thinkgpt | 1,420 | 119 | 25 | Python | null | Agent techniques to augment your LLM and push it beyong its limits | jina-ai | 2024-01-13 | 2023-04-14 | 41 | 34.158076 | https://avatars.githubusercontent.com/u/60539444?v=4 | Agent techniques to augment your LLM and push it beyong its limits | [] | ['chain-of-thought', 'language-model'] | 2023-05-16 | [('aiwaves-cn/agents', 0.6464569568634033, 'nlp', 1), ('ibm/dromedary', 0.6295039057731628, 'llm', 1), ('microsoft/autogen', 0.5731350779533386, 'llm', 0), ('minedojo/voyager', 0.5710037350654602, 'llm', 0), ('hwchase17/langchain', 0.5536667704582214, 'llm', 1), ('nomic-ai/gpt4all', 0.551749587059021, 'llm', 1), ('youn... | 3 | 2 | null | 1.19 | 2 | 0 | 9 | 8 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 38 |
1,678 | util | https://github.com/pycqa/pyflakes | [] | null | [] | [] | null | null | null | pycqa/pyflakes | pyflakes | 1,317 | 182 | 29 | Python | https://pypi.org/project/pyflakes | A simple program which checks Python source files for errors | pycqa | 2024-01-12 | 2014-04-07 | 512 | 2.571548 | https://avatars.githubusercontent.com/u/8749848?v=4 | A simple program which checks Python source files for errors | ['linter'] | ['linter'] | 2024-01-05 | [('klen/pylama', 0.6928360462188721, 'util', 1), ('nedbat/coveragepy', 0.5710163116455078, 'testing', 0), ('instagram/fixit', 0.5664411783218384, 'util', 1), ('landscapeio/prospector', 0.5659628510475159, 'util', 0), ('pycqa/pycodestyle', 0.5580477118492126, 'util', 0), ('google/yapf', 0.5379751920700073, 'util', 0), (... | 84 | 4 | null | 0.19 | 11 | 10 | 119 | 0 | 0 | 3 | 3 | 11 | 14 | 90 | 1.3 | 38 |
445 | ml | https://github.com/csinva/imodels | [] | null | [] | [] | null | null | null | csinva/imodels | imodels | 1,237 | 110 | 26 | Jupyter Notebook | https://csinva.io/imodels | Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). | csinva | 2024-01-11 | 2019-07-04 | 238 | 5.181927 | null | Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). | ['ai', 'artificial-intelligence', 'bayesian-rule-list', 'data-science', 'explainable-ai', 'explainable-ml', 'imodels', 'interpretability', 'machine-learning', 'ml', 'optimal-classification-tree', 'rule-learning', 'rulefit', 'rules', 'scikit-learn', 'statistics', 'supervised-learning'] | ['ai', 'artificial-intelligence', 'bayesian-rule-list', 'data-science', 'explainable-ai', 'explainable-ml', 'imodels', 'interpretability', 'machine-learning', 'ml', 'optimal-classification-tree', 'rule-learning', 'rulefit', 'rules', 'scikit-learn', 'statistics', 'supervised-learning'] | 2023-12-30 | [('interpretml/interpret', 0.7508851289749146, 'ml-interpretability', 7), ('pair-code/lit', 0.6702791452407837, 'ml-interpretability', 1), ('tensorflow/lucid', 0.6663603782653809, 'ml-interpretability', 2), ('maif/shapash', 0.6528401374816895, 'ml', 3), ('selfexplainml/piml-toolbox', 0.6522828936576843, 'ml-interpretab... | 22 | 5 | null | 2.12 | 8 | 4 | 55 | 0 | 5 | 8 | 5 | 8 | 1 | 90 | 0.1 | 38 |
1,010 | time-series | https://github.com/bashtage/arch | [] | null | [] | [] | null | null | null | bashtage/arch | arch | 1,215 | 279 | 44 | Python | null | ARCH models in Python | bashtage | 2024-01-13 | 2014-08-29 | 491 | 2.471665 | null | ARCH models in Python | ['adf', 'arch', 'bootstrap', 'df-gls', 'dickey-fuller', 'finance', 'financial-econometrics', 'forecasting', 'model-confidence-set', 'multiple-comparison-procedures', 'phillips-perron', 'reality-check', 'risk', 'spa', 'time-series', 'unit-root', 'variance', 'volatility'] | ['adf', 'arch', 'bootstrap', 'df-gls', 'dickey-fuller', 'finance', 'financial-econometrics', 'forecasting', 'model-confidence-set', 'multiple-comparison-procedures', 'phillips-perron', 'reality-check', 'risk', 'spa', 'time-series', 'unit-root', 'variance', 'volatility'] | 2024-01-05 | [('firmai/atspy', 0.6273349523544312, 'time-series', 3), ('alkaline-ml/pmdarima', 0.6099317669868469, 'time-series', 2), ('statsmodels/statsmodels', 0.5926198363304138, 'ml', 1), ('goldmansachs/gs-quant', 0.5530153512954712, 'finance', 0), ('kernc/backtesting.py', 0.5312038064002991, 'finance', 1), ('awslabs/gluonts', ... | 35 | 3 | null | 1.29 | 25 | 24 | 114 | 0 | 8 | 5 | 8 | 25 | 25 | 90 | 1 | 38 |
1,043 | data | https://github.com/ydataai/ydata-synthetic | [] | null | [] | [] | null | null | null | ydataai/ydata-synthetic | ydata-synthetic | 1,195 | 233 | 29 | Jupyter Notebook | https://docs.synthetic.ydata.ai | Synthetic data generators for tabular and time-series data | ydataai | 2024-01-13 | 2020-05-04 | 195 | 6.123719 | https://avatars.githubusercontent.com/u/57689451?v=4 | Synthetic data generators for tabular and time-series data | ['datageneration', 'datagenerator', 'deep-learning', 'gan', 'gan-architectures', 'gans', 'generative-adversarial-network', 'machine-learning', 'pytorch', 'synthetic-data', 'tensorflow2', 'time-series', 'timeseries', 'training-data'] | ['datageneration', 'datagenerator', 'deep-learning', 'gan', 'gan-architectures', 'gans', 'generative-adversarial-network', 'machine-learning', 'pytorch', 'synthetic-data', 'tensorflow2', 'time-series', 'timeseries', 'training-data'] | 2024-01-02 | [('sdv-dev/sdv', 0.9112098217010498, 'data', 7), ('awslabs/autogluon', 0.5872030258178711, 'ml', 4), ('borisbanushev/stockpredictionai', 0.5105303525924683, 'finance', 0), ('vaexio/vaex', 0.5099949836730957, 'perf', 1), ('winedarksea/autots', 0.5098974704742432, 'time-series', 3), ('nicolas-hbt/pygraft', 0.507189333438... | 22 | 1 | null | 1.23 | 34 | 17 | 45 | 0 | 9 | 9 | 9 | 34 | 16 | 90 | 0.5 | 38 |
966 | gis | https://github.com/microsoft/globalmlbuildingfootprints | [] | null | [] | [] | null | null | null | microsoft/globalmlbuildingfootprints | GlobalMLBuildingFootprints | 1,186 | 175 | 60 | Python | null | Worldwide building footprints derived from satellite imagery | microsoft | 2024-01-12 | 2022-04-22 | 92 | 12.811728 | https://avatars.githubusercontent.com/u/6154722?v=4 | Worldwide building footprints derived from satellite imagery | [] | [] | 2024-01-03 | [('zorzi-s/polyworldpretrainednetwork', 0.600134015083313, 'gis', 0), ('lydorn/polygonization-by-frame-field-learning', 0.5449085831642151, 'gis', 0)] | 7 | 2 | null | 0.35 | 17 | 8 | 21 | 0 | 0 | 0 | 0 | 17 | 11 | 90 | 0.6 | 38 |
625 | util | https://github.com/pyca/bcrypt | [] | null | [] | [] | null | null | null | pyca/bcrypt | bcrypt | 1,083 | 195 | 28 | Python | null | Modern(-ish) password hashing for your software and your servers | pyca | 2024-01-13 | 2013-05-11 | 559 | 1.935904 | https://avatars.githubusercontent.com/u/5615737?v=4 | Modern(-ish) password hashing for your software and your servers | [] | [] | 2024-01-12 | [] | 32 | 5 | null | 3.48 | 86 | 81 | 130 | 0 | 0 | 2 | 2 | 86 | 90 | 90 | 1 | 38 |
811 | ml | https://github.com/automl/tabpfn | [] | null | [] | [] | null | null | null | automl/tabpfn | TabPFN | 1,028 | 85 | 14 | Python | http://priorlabs.ai | Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package. | automl | 2024-01-13 | 2022-07-01 | 82 | 12.449827 | https://avatars.githubusercontent.com/u/6469053?v=4 | Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package. | [] | [] | 2023-10-22 | [] | 7 | 3 | null | 0.67 | 26 | 14 | 19 | 3 | 0 | 0 | 0 | 26 | 23 | 90 | 0.9 | 38 |
1,150 | data | https://github.com/aio-libs/aiocache | [] | null | [] | [] | null | null | null | aio-libs/aiocache | aiocache | 971 | 139 | 22 | Python | http://aiocache.readthedocs.io | Asyncio cache manager for redis, memcached and memory | aio-libs | 2024-01-11 | 2016-09-30 | 382 | 2.538088 | https://avatars.githubusercontent.com/u/7049303?v=4 | Asyncio cache manager for redis, memcached and memory | ['asyncio', 'cache', 'cachemanager', 'memcached', 'redis'] | ['asyncio', 'cache', 'cachemanager', 'memcached', 'redis'] | 2024-01-10 | [('long2ice/fastapi-cache', 0.6432105898857117, 'web', 3), ('grantjenks/python-diskcache', 0.6346278786659241, 'util', 1), ('samuelcolvin/arq', 0.554317057132721, 'data', 2), ('dgilland/cacheout', 0.5477664470672607, 'perf', 0), ('python-cachier/cachier', 0.5451957583427429, 'perf', 2)] | 43 | 5 | null | 2.15 | 36 | 33 | 89 | 0 | 3 | 3 | 3 | 36 | 28 | 90 | 0.8 | 38 |
89 | testing | https://github.com/taverntesting/tavern | [] | null | [] | [] | null | null | null | taverntesting/tavern | tavern | 969 | 186 | 27 | Python | https://taverntesting.github.io/ | 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 | 2024-01-12 | 2017-11-01 | 325 | 2.973696 | https://avatars.githubusercontent.com/u/33286481?v=4 | 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 | ['http', 'mqtt', 'pytest', 'test-automation', 'testing'] | ['http', 'mqtt', 'pytest', 'test-automation', 'testing'] | 2023-12-26 | [('pytest-dev/pytest-xdist', 0.6020364165306091, 'testing', 1), ('simple-salesforce/simple-salesforce', 0.6006324291229248, 'data', 0), ('ionelmc/pytest-benchmark', 0.5957930684089661, 'testing', 1), ('getsentry/responses', 0.5727768540382385, 'testing', 0), ('wolever/parameterized', 0.5629963874816895, 'testing', 0), ... | 61 | 4 | null | 1.06 | 27 | 19 | 76 | 1 | 0 | 33 | 33 | 27 | 16 | 90 | 0.6 | 38 |
147 | util | https://github.com/zenodo/zenodo | [] | null | [] | [] | null | null | null | zenodo/zenodo | zenodo | 862 | 252 | 45 | Python | https://zenodo.org | Research. Shared. | zenodo | 2024-01-06 | 2013-02-11 | 572 | 1.506617 | https://avatars.githubusercontent.com/u/2675345?v=4 | Research. Shared. | ['digital-library', 'elasticsearch', 'flask', 'invenio', 'inveniosoftware', 'library-management', 'open-access', 'open-science', 'postgresql', 'research-data-management', 'research-data-repository', 'scientific-publications', 'zenodo'] | ['digital-library', 'elasticsearch', 'flask', 'invenio', 'inveniosoftware', 'library-management', 'open-access', 'open-science', 'postgresql', 'research-data-management', 'research-data-repository', 'scientific-publications', 'zenodo'] | 2023-12-11 | [('simonw/datasette', 0.6021542549133301, 'data', 0), ('tiangolo/full-stack-fastapi-postgresql', 0.5640177726745605, 'template', 1), ('piccolo-orm/piccolo_admin', 0.5565163493156433, 'data', 1), ('airbytehq/airbyte', 0.5533841252326965, 'data', 1), ('airbnb/knowledge-repo', 0.5470719933509827, 'data', 0), ('cerlymarco/... | 67 | 5 | null | 0.48 | 65 | 12 | 133 | 1 | 0 | 39 | 39 | 64 | 111 | 90 | 1.7 | 38 |
803 | data | https://github.com/neo4j/neo4j-python-driver | [] | null | [] | [] | null | null | null | neo4j/neo4j-python-driver | neo4j-python-driver | 850 | 213 | 98 | Python | https://neo4j.com/docs/api/python-driver/current/ | Neo4j Bolt driver for Python | neo4j | 2024-01-08 | 2015-05-05 | 456 | 1.864035 | https://avatars.githubusercontent.com/u/201120?v=4 | Neo4j Bolt driver for Python | ['binary-protocol', 'cypher', 'database-driver', 'driver', 'graph-database', 'neo4j', 'protocol', 'query-language'] | ['binary-protocol', 'cypher', 'database-driver', 'driver', 'graph-database', 'neo4j', 'protocol', 'query-language'] | 2024-01-09 | [('accenture/cymple', 0.6172598600387573, 'data', 2), ('datastax/python-driver', 0.5756858587265015, 'data', 0), ('scylladb/python-driver', 0.5569538474082947, 'data', 0), ('pydot/pydot', 0.5061096549034119, 'viz', 0)] | 43 | 4 | null | 1.9 | 36 | 36 | 106 | 0 | 15 | 14 | 15 | 36 | 25 | 90 | 0.7 | 38 |
790 | ml-interpretability | https://github.com/selfexplainml/piml-toolbox | [] | null | [] | [] | null | null | null | selfexplainml/piml-toolbox | PiML-Toolbox | 791 | 96 | 21 | Jupyter Notebook | https://selfexplainml.github.io/PiML-Toolbox | PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics | selfexplainml | 2024-01-13 | 2022-04-29 | 91 | 8.638066 | https://avatars.githubusercontent.com/u/74489521?v=4 | PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics | ['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics'] | ['interpretable-machine-learning', 'low-code', 'ml-workflow', 'model-diagnostics'] | 2024-01-08 | [('csinva/imodels', 0.6522828936576843, 'ml', 0), ('kubeflow/fairing', 0.6489830613136292, 'ml-ops', 0), ('pair-code/lit', 0.6214944124221802, 'ml-interpretability', 0), ('districtdatalabs/yellowbrick', 0.6020028591156006, 'ml', 0), ('huggingface/evaluate', 0.5961371660232544, 'ml', 0), ('wandb/client', 0.5873650908470... | 6 | 2 | null | 2.46 | 4 | 1 | 21 | 0 | 3 | 2 | 3 | 4 | 3 | 90 | 0.8 | 38 |
824 | typing | https://github.com/python-attrs/cattrs | [] | null | [] | [] | null | null | null | python-attrs/cattrs | cattrs | 725 | 101 | 20 | Python | https://catt.rs | Composable custom class converters for attrs. | python-attrs | 2024-01-13 | 2016-08-28 | 387 | 1.872003 | https://avatars.githubusercontent.com/u/25880274?v=4 | Composable custom class converters for attrs. | ['attrs', 'deserialization', 'serialization'] | ['attrs', 'deserialization', 'serialization'] | 2024-01-13 | [('lidatong/dataclasses-json', 0.5296611189842224, 'util', 0)] | 62 | 3 | null | 2.48 | 78 | 63 | 90 | 0 | 4 | 4 | 4 | 78 | 121 | 90 | 1.6 | 38 |
1,754 | ml | https://github.com/criteo/autofaiss | ['knn', 'similarity', 'embeddings', 'vector-search'] | null | [] | [] | 1 | null | null | criteo/autofaiss | autofaiss | 684 | 65 | 18 | Python | https://criteo.github.io/autofaiss/ | Automatically create Faiss knn indices with the most optimal similarity search parameters. | criteo | 2024-01-13 | 2021-04-28 | 143 | 4.754717 | https://avatars.githubusercontent.com/u/1713646?v=4 | Automatically create Faiss knn indices with the most optimal similarity search parameters. | [] | ['embeddings', 'knn', 'similarity', 'vector-search'] | 2024-01-13 | [('facebookresearch/faiss', 0.629601776599884, 'ml', 3), ('qdrant/quaterion', 0.6242879629135132, 'ml', 1), ('lmcinnes/pynndescent', 0.5459467172622681, 'ml', 0), ('qdrant/qdrant', 0.5368368625640869, 'data', 1)] | 15 | 4 | null | 0.25 | 14 | 7 | 33 | 0 | 4 | 25 | 4 | 14 | 15 | 90 | 1.1 | 38 |
1,752 | jupyter | https://github.com/aws/graph-notebook | [] | null | [] | [] | null | null | null | aws/graph-notebook | graph-notebook | 652 | 157 | 35 | Jupyter Notebook | https://github.com/aws/graph-notebook | Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL. | aws | 2024-01-13 | 2020-10-01 | 173 | 3.753289 | https://avatars.githubusercontent.com/u/2232217?v=4 | Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL. | ['apache', 'cypher', 'graph', 'gremlin', 'jupyter', 'jupyter-notebook', 'jupyter-widgets', 'neptune', 'opencypher', 'rdf', 'sparql', 'tinkerpop'] | ['apache', 'cypher', 'graph', 'gremlin', 'jupyter', 'jupyter-notebook', 'jupyter-widgets', 'neptune', 'opencypher', 'rdf', 'sparql', 'tinkerpop'] | 2023-12-21 | [('jupyter-widgets/ipywidgets', 0.687077522277832, 'jupyter', 0), ('voila-dashboards/voila', 0.6807038187980652, 'jupyter', 2), ('cohere-ai/notebooks', 0.6492716073989868, 'llm', 0), ('mwouts/jupytext', 0.6454940438270569, 'jupyter', 1), ('jupyterlab/jupyterlab-desktop', 0.6357448697090149, 'jupyter', 2), ('jupyter/nbf... | 30 | 4 | null | 1.63 | 20 | 13 | 40 | 1 | 10 | 13 | 10 | 20 | 18 | 90 | 0.9 | 38 |
619 | gis | https://github.com/scitools/iris | [] | null | [] | [] | null | null | null | scitools/iris | iris | 587 | 279 | 45 | Python | https://scitools-iris.readthedocs.io/en/stable/ | A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data | scitools | 2024-01-05 | 2012-08-06 | 599 | 0.979733 | https://avatars.githubusercontent.com/u/1391487?v=4 | A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data | ['data-analysis', 'earth-science', 'grib', 'iris', 'meteorology', 'netcdf', 'oceanography', 'spaceweather', 'visualisation'] | ['data-analysis', 'earth-science', 'grib', 'iris', 'meteorology', 'netcdf', 'oceanography', 'spaceweather', 'visualisation'] | 2024-01-12 | [('enthought/mayavi', 0.7232843041419983, 'viz', 0), ('giswqs/geemap', 0.6783716082572937, 'gis', 0), ('residentmario/geoplot', 0.6692157983779907, 'gis', 0), ('holoviz/holoviz', 0.6550614833831787, 'viz', 0), ('mwaskom/seaborn', 0.6527572870254517, 'viz', 0), ('contextlab/hypertools', 0.6321009993553162, 'ml', 0), ('p... | 107 | 2 | null | 5.21 | 276 | 209 | 139 | 0 | 8 | 7 | 8 | 276 | 410 | 90 | 1.5 | 38 |
216 | ml-ops | https://github.com/nccr-itmo/fedot | [] | null | [] | [] | null | null | null | nccr-itmo/fedot | FEDOT | 579 | 80 | 9 | Python | https://fedot.readthedocs.io | Automated modeling and machine learning framework FEDOT | nccr-itmo | 2024-01-13 | 2020-01-13 | 211 | 2.742219 | https://avatars.githubusercontent.com/u/65946329?v=4 | Automated modeling and machine learning framework FEDOT | ['automated-machine-learning', 'automation', 'automl', 'evolutionary-algorithms', 'fedot', 'genetic-programming', 'hyperparameter-optimization', 'machine-learning', 'multimodality', 'parameter-tuning', 'structural-learning'] | ['automated-machine-learning', 'automation', 'automl', 'evolutionary-algorithms', 'fedot', 'genetic-programming', 'hyperparameter-optimization', 'machine-learning', 'multimodality', 'parameter-tuning', 'structural-learning'] | 2024-01-10 | [('automl/auto-sklearn', 0.7373944520950317, 'ml', 3), ('microsoft/nni', 0.6999444365501404, 'ml', 4), ('winedarksea/autots', 0.6496773958206177, 'time-series', 2), ('microsoft/flaml', 0.6372272372245789, 'ml', 4), ('keras-team/autokeras', 0.6287457346916199, 'ml-dl', 3), ('awslabs/autogluon', 0.6268003582954407, 'ml',... | 32 | 3 | null | 2.06 | 102 | 58 | 49 | 0 | 4 | 3 | 4 | 102 | 146 | 90 | 1.4 | 38 |
905 | util | https://github.com/methexis-inc/terminal-copilot | [] | null | [] | [] | null | null | null | methexis-inc/terminal-copilot | terminal-copilot | 539 | 41 | 7 | Python | null | A smart terminal assistant that helps you find the right command. | methexis-inc | 2024-01-10 | 2022-12-11 | 59 | 9.091566 | https://avatars.githubusercontent.com/u/110575158?v=4 | A smart terminal assistant that helps you find the right command. | [] | [] | 2023-12-09 | [('tiangolo/typer', 0.5327745079994202, 'term', 0), ('tconbeer/harlequin', 0.5151594877243042, 'term', 0)] | 10 | 3 | null | 0.35 | 4 | 4 | 13 | 1 | 3 | 5 | 3 | 4 | 6 | 90 | 1.5 | 38 |
1,533 | data | https://github.com/dbt-labs/dbt-spark | ['spark', 'dbt'] | null | [] | [] | null | null | null | dbt-labs/dbt-spark | dbt-spark | 339 | 199 | 18 | Python | https://getdbt.com | dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks | dbt-labs | 2024-01-06 | 2019-03-21 | 253 | 1.336149 | https://avatars.githubusercontent.com/u/18339788?v=4 | dbt-spark contains all of the code enabling dbt to work with Apache Spark and Databricks | [] | ['dbt', 'spark'] | 2024-01-11 | [('databricks/dbt-databricks', 0.6950157284736633, 'data', 1)] | 73 | 4 | null | 2.98 | 94 | 63 | 59 | 0 | 28 | 18 | 28 | 94 | 103 | 90 | 1.1 | 38 |
1,837 | llm | https://github.com/bobazooba/xllm | [] | null | [] | [] | null | null | null | bobazooba/xllm | xllm | 308 | 17 | 3 | Python | https://t.me/talequestbot | 🦖 X—LLM: Cutting Edge & Easy LLM Finetuning | bobazooba | 2024-01-14 | 2023-11-10 | 11 | 26.617284 | null | 🦖 X—LLM: Cutting Edge & Easy LLM Finetuning | ['alpaca', 'bitsandbytes', 'cerebras', 'chatgpt', 'deep-learning', 'deep-neural-networks', 'gpt', 'gpt-4', 'gptq', 'large-language-models', 'llama', 'llama2', 'llm', 'mistral', 'openai', 'pytorch', 'torch', 'vicuna', 'zephyr'] | ['alpaca', 'bitsandbytes', 'cerebras', 'chatgpt', 'deep-learning', 'deep-neural-networks', 'gpt', 'gpt-4', 'gptq', 'large-language-models', 'llama', 'llama2', 'llm', 'mistral', 'openai', 'pytorch', 'torch', 'vicuna', 'zephyr'] | 2023-12-07 | [('hiyouga/llama-efficient-tuning', 0.7037465572357178, 'llm', 5), ('hiyouga/llama-factory', 0.7037465572357178, 'llm', 5), ('lianjiatech/belle', 0.6800654530525208, 'llm', 1), ('bigscience-workshop/petals', 0.667163610458374, 'data', 6), ('intel/intel-extension-for-transformers', 0.6433131694793701, 'perf', 0), ('tige... | 1 | 0 | null | 1.15 | 16 | 11 | 2 | 1 | 5 | 85 | 5 | 16 | 9 | 90 | 0.6 | 38 |
1,575 | data | https://github.com/scikit-hep/uproot5 | ['science'] | null | [] | [] | null | null | null | scikit-hep/uproot5 | uproot5 | 208 | 63 | 19 | Python | https://uproot.readthedocs.io | ROOT I/O in pure Python and NumPy. | scikit-hep | 2024-01-09 | 2020-05-08 | 194 | 1.069016 | https://avatars.githubusercontent.com/u/23454624?v=4 | ROOT I/O in pure Python and NumPy. | ['analysis', 'big-data', 'bigdata', 'file-format', 'hep', 'hep-ex', 'hep-py', 'numpy', 'root', 'root-cern', 'scikit-hep'] | ['analysis', 'big-data', 'bigdata', 'file-format', 'hep', 'hep-ex', 'hep-py', 'numpy', 'root', 'root-cern', 'science', 'scikit-hep'] | 2024-01-12 | [('numpy/numpy', 0.5980868935585022, 'math', 1), ('scipy/scipy', 0.5634987354278564, 'math', 0), ('blaze/blaze', 0.5468524098396301, 'pandas', 0), ('cython/cython', 0.5226044058799744, 'util', 1), ('fredrik-johansson/mpmath', 0.516451895236969, 'math', 0), ('pypy/pypy', 0.5114945769309998, 'util', 0), ('fsspec/filesyst... | 44 | 4 | null | 3.35 | 87 | 72 | 45 | 0 | 26 | 29 | 26 | 87 | 180 | 90 | 2.1 | 38 |
1,532 | data | https://github.com/databricks/dbt-databricks | ['databricks', 'dbt'] | null | [] | [] | null | null | null | databricks/dbt-databricks | dbt-databricks | 165 | 91 | 19 | Python | https://databricks.com | A dbt adapter for Databricks. | databricks | 2024-01-06 | 2021-10-19 | 119 | 1.386555 | https://avatars.githubusercontent.com/u/4998052?v=4 | A dbt adapter for Databricks. | ['databricks', 'dbt', 'etl', 'sql'] | ['databricks', 'dbt', 'etl', 'sql'] | 2024-01-12 | [('dbt-labs/dbt-spark', 0.6950157284736633, 'data', 1), ('databrickslabs/dbx', 0.6466124057769775, 'data', 1), ('duckdb/dbt-duckdb', 0.5661155581474304, 'data', 1), ('airbnb/omniduct', 0.5590947866439819, 'data', 0), ('airbytehq/airbyte', 0.5521032214164734, 'data', 1), ('dbt-labs/dbt-core', 0.5302814841270447, 'ml-ops... | 69 | 3 | null | 5.67 | 107 | 88 | 27 | 0 | 29 | 38 | 29 | 107 | 168 | 90 | 1.6 | 38 |
1,746 | util | https://github.com/callowayproject/bump-my-version | ['code-quality'] | null | [] | [] | null | null | null | callowayproject/bump-my-version | bump-my-version | 115 | 14 | 7 | Python | https://callowayproject.github.io/bump-my-version/ | A small command line tool to simplify releasing software by updating all version strings in your source code by the correct increment and optionally commit and tag the changes. | callowayproject | 2024-01-11 | 2023-04-12 | 41 | 2.74744 | https://avatars.githubusercontent.com/u/305772?v=4 | A small command line tool to simplify releasing software by updating all version strings in your source code by the correct increment and optionally commit and tag the changes. | ['bumpversion', 'version', 'versioning'] | ['bumpversion', 'code-quality', 'version', 'versioning'] | 2024-01-13 | [('c4urself/bump2version', 0.7459608316421509, 'util', 1), ('pypa/setuptools_scm', 0.6197443604469299, 'util', 1), ('mtkennerly/dunamai', 0.6012407541275024, 'util', 1), ('asottile/pyupgrade', 0.5788130760192871, 'util', 1), ('mtkennerly/poetry-dynamic-versioning', 0.5595990419387817, 'util', 1), ('python-versioneer/py... | 12 | 5 | null | 4.5 | 58 | 50 | 9 | 0 | 24 | 38 | 24 | 58 | 92 | 90 | 1.6 | 38 |
747 | study | https://github.com/karpathy/micrograd | [] | null | [] | [] | null | null | null | karpathy/micrograd | micrograd | 7,103 | 917 | 131 | Jupyter Notebook | null | A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API | karpathy | 2024-01-14 | 2020-04-13 | 198 | 35.847873 | null | A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API | [] | [] | 2020-04-18 | [('pytorch/ignite', 0.7160765528678894, 'ml-dl', 0), ('intel/intel-extension-for-pytorch', 0.6794243454933167, 'perf', 0), ('skorch-dev/skorch', 0.644400417804718, 'ml-dl', 0), ('nvidia/apex', 0.6441670060157776, 'ml-dl', 0), ('rafiqhasan/auto-tensorflow', 0.634564220905304, 'ml-dl', 0), ('denys88/rl_games', 0.62863367... | 2 | 1 | null | 0 | 7 | 4 | 46 | 46 | 0 | 0 | 0 | 7 | 3 | 90 | 0.4 | 37 |
817 | study | https://github.com/firmai/industry-machine-learning | [] | null | [] | [] | null | null | null | firmai/industry-machine-learning | industry-machine-learning | 6,946 | 1,151 | 389 | Jupyter Notebook | https://www.linkedin.com/company/firmai | A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai) | firmai | 2024-01-13 | 2019-05-03 | 247 | 28.056549 | null | A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai) | ['data-science', 'datascience', 'example', 'firmai', 'jupyter-notebook', 'machine-learning', 'practical-machine-learning'] | ['data-science', 'datascience', 'example', 'firmai', 'jupyter-notebook', 'machine-learning', 'practical-machine-learning'] | 2021-12-18 | [('cerlymarco/medium_notebook', 0.6431946158409119, 'study', 2), ('ageron/handson-ml2', 0.6424956321716309, 'ml', 0), ('feast-dev/feast', 0.6406149864196777, 'ml-ops', 2), ('krzjoa/awesome-python-data-science', 0.6359909772872925, 'study', 2), ('tensorflow/data-validation', 0.6276463866233826, 'ml-ops', 0), ('gradio-ap... | 6 | 4 | null | 0 | 0 | 0 | 57 | 25 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 37 |
1,022 | finance | https://github.com/google/tf-quant-finance | [] | null | [] | [] | null | null | null | google/tf-quant-finance | tf-quant-finance | 4,160 | 545 | 168 | Python | null | High-performance TensorFlow library for quantitative finance. | google | 2024-01-14 | 2019-07-24 | 235 | 17.637795 | https://avatars.githubusercontent.com/u/1342004?v=4 | High-performance TensorFlow library for quantitative finance. | ['finance', 'gpu', 'gpu-computing', 'high-performance', 'high-performance-computing', 'numerical-integration', 'numerical-methods', 'numerical-optimization', 'quantitative-finance', 'quantlib', 'tensorflow'] | ['finance', 'gpu', 'gpu-computing', 'high-performance', 'high-performance-computing', 'numerical-integration', 'numerical-methods', 'numerical-optimization', 'quantitative-finance', 'quantlib', 'tensorflow'] | 2023-08-15 | [('tensorly/tensorly', 0.636419951915741, 'ml-dl', 1), ('pytorch/pytorch', 0.6339718103408813, 'ml-dl', 1), ('goldmansachs/gs-quant', 0.6332827806472778, 'finance', 0), ('intel/intel-extension-for-pytorch', 0.6181202530860901, 'perf', 0), ('ggerganov/ggml', 0.6140791773796082, 'ml', 0), ('arogozhnikov/einops', 0.610203... | 47 | 2 | null | 0.29 | 0 | 0 | 54 | 5 | 0 | 1 | 1 | 0 | 0 | 90 | 0 | 37 |
460 | util | https://github.com/rspeer/python-ftfy | [] | null | [] | [] | null | null | null | rspeer/python-ftfy | python-ftfy | 3,647 | 153 | 76 | Python | http://ftfy.readthedocs.org | Fixes mojibake and other glitches in Unicode text, after the fact. | rspeer | 2024-01-12 | 2012-08-24 | 596 | 6.113266 | null | Fixes mojibake and other glitches in Unicode text, after the fact. | [] | [] | 2023-11-21 | [] | 18 | 6 | null | 0.1 | 1 | 0 | 139 | 2 | 0 | 12 | 12 | 1 | 0 | 90 | 0 | 37 |
86 | graph | https://github.com/stellargraph/stellargraph | [] | null | [] | [] | null | null | null | stellargraph/stellargraph | stellargraph | 2,836 | 418 | 64 | Python | https://stellargraph.readthedocs.io/ | StellarGraph - Machine Learning on Graphs | stellargraph | 2024-01-13 | 2018-04-13 | 302 | 9.372993 | https://avatars.githubusercontent.com/u/36725857?v=4 | StellarGraph - Machine Learning on Graphs | ['data-science', 'deep-learning', 'gcn', 'geometric-deep-learning', 'graph-analysis', 'graph-convolutional-networks', 'graph-data', 'graph-machine-learning', 'graph-neural-networks', 'graphs', 'heterogeneous-networks', 'interpretability', 'link-prediction', 'machine-learning', 'machine-learning-algorithms', 'networkx',... | ['data-science', 'deep-learning', 'gcn', 'geometric-deep-learning', 'graph-analysis', 'graph-convolutional-networks', 'graph-data', 'graph-machine-learning', 'graph-neural-networks', 'graphs', 'heterogeneous-networks', 'interpretability', 'link-prediction', 'machine-learning', 'machine-learning-algorithms', 'networkx',... | 2021-10-29 | [('chandlerbang/awesome-self-supervised-gnn', 0.6943688988685608, 'study', 3), ('danielegrattarola/spektral', 0.6824637055397034, 'ml-dl', 2), ('pyg-team/pytorch_geometric', 0.6726529002189636, 'ml-dl', 4), ('dmlc/dgl', 0.6574554443359375, 'ml-dl', 2), ('google-deepmind/materials_discovery', 0.6555060148239136, 'sim', ... | 36 | 6 | null | 0 | 5 | 1 | 70 | 27 | 0 | 5 | 5 | 5 | 2 | 90 | 0.4 | 37 |
818 | study | https://github.com/alirezadir/machine-learning-interview-enlightener | [] | null | [] | [] | null | null | null | alirezadir/machine-learning-interview-enlightener | Machine-Learning-Interviews | 2,645 | 494 | 53 | Jupyter Notebook | null | This repo is meant to serve as a guide for Machine Learning/AI technical interviews. | alirezadir | 2024-01-14 | 2021-01-31 | 156 | 16.924132 | null | This repo is meant to serve as a guide for Machine Learning/AI technical interviews. | ['ai', 'deep-learning', 'interview', 'interview-practice', 'interview-preparation', 'interviews', 'machine-learning', 'machine-learning-algorithms', 'scalable-applications', 'system-design'] | ['ai', 'deep-learning', 'interview', 'interview-practice', 'interview-preparation', 'interviews', 'machine-learning', 'machine-learning-algorithms', 'scalable-applications', 'system-design'] | 2023-10-26 | [('bentoml/bentoml', 0.657772958278656, 'ml-ops', 3), ('google-research/google-research', 0.6368386745452881, 'ml', 2), ('google-research/language', 0.6070800423622131, 'nlp', 1), ('amanchadha/coursera-deep-learning-specialization', 0.6021793484687805, 'study', 1), ('patchy631/machine-learning', 0.5960847735404968, 'ml... | 7 | 4 | null | 1.33 | 1 | 0 | 36 | 3 | 0 | 0 | 0 | 1 | 0 | 90 | 0 | 37 |
704 | pandas | https://github.com/jmcarpenter2/swifter | [] | null | [] | [] | null | null | null | jmcarpenter2/swifter | swifter | 2,402 | 101 | 31 | Python | null | A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner | jmcarpenter2 | 2024-01-12 | 2018-04-07 | 303 | 7.916196 | null | A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner | ['dask', 'modin', 'pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization'] | ['dask', 'modin', 'pandas', 'pandas-dataframe', 'parallel-computing', 'parallelization'] | 2023-07-31 | [('nalepae/pandarallel', 0.7605847716331482, 'pandas', 1), ('ddelange/mapply', 0.6554047465324402, 'pandas', 0), ('modin-project/modin', 0.6068665385246277, 'perf', 2), ('dask/dask', 0.60169517993927, 'perf', 2), ('rapidsai/cudf', 0.5688180923461914, 'pandas', 2), ('mementum/bta-lib', 0.5637902021408081, 'finance', 0),... | 17 | 4 | null | 0.33 | 5 | 0 | 70 | 6 | 0 | 14 | 14 | 5 | 2 | 90 | 0.4 | 37 |
956 | ml-dl | https://github.com/danielegrattarola/spektral | [] | null | ['2006.12138'] | [] | null | null | null | danielegrattarola/spektral | spektral | 2,314 | 337 | 44 | Python | https://graphneural.network | Graph Neural Networks with Keras and Tensorflow 2. | danielegrattarola | 2024-01-13 | 2019-01-17 | 262 | 8.808048 | null | Graph Neural Networks with Keras and Tensorflow 2. | ['deep-learning', 'graph-deep-learning', 'graph-neural-networks', 'keras', 'tensorflow', 'tensorflow2'] | ['deep-learning', 'graph-deep-learning', 'graph-neural-networks', 'keras', 'tensorflow', 'tensorflow2'] | 2023-06-01 | [('pyg-team/pytorch_geometric', 0.7439136505126953, 'ml-dl', 2), ('dmlc/dgl', 0.6934017539024353, 'ml-dl', 2), ('stellargraph/stellargraph', 0.6824637055397034, 'graph', 2), ('chandlerbang/awesome-self-supervised-gnn', 0.6770707964897156, 'study', 2), ('nyandwi/modernconvnets', 0.6024564504623413, 'ml-dl', 2), ('rampas... | 27 | 3 | null | 0.33 | 3 | 1 | 61 | 8 | 1 | 1 | 1 | 3 | 5 | 90 | 1.7 | 37 |
255 | crypto | https://github.com/bmoscon/cryptofeed | [] | null | [] | [] | null | null | null | bmoscon/cryptofeed | cryptofeed | 1,973 | 712 | 79 | Python | null | Cryptocurrency Exchange Websocket Data Feed Handler | bmoscon | 2024-01-13 | 2017-12-16 | 319 | 6.176655 | null | Cryptocurrency Exchange Websocket Data Feed Handler | ['asyncio', 'binance', 'bitcoin', 'btc', 'coinbase', 'coinbase-api', 'crypto', 'cryptocurrencies', 'cryptocurrency', 'ethereum', 'exchange', 'ftx-exchange', 'influxdb', 'market-data', 'trading', 'trading-platform', 'websocket', 'websockets'] | ['asyncio', 'binance', 'bitcoin', 'btc', 'coinbase', 'coinbase-api', 'crypto', 'cryptocurrencies', 'cryptocurrency', 'ethereum', 'exchange', 'ftx-exchange', 'influxdb', 'market-data', 'trading', 'trading-platform', 'websocket', 'websockets'] | 2024-01-07 | [('ccxt/ccxt', 0.6092362999916077, 'crypto', 9), ('miguelgrinberg/python-socketio', 0.595906138420105, 'util', 2), ('freqtrade/freqtrade', 0.5561859011650085, 'crypto', 3), ('websocket-client/websocket-client', 0.5356486439704895, 'web', 2), ('pmaji/crypto-whale-watching-app', 0.5131617188453674, 'crypto', 3), ('gbeced... | 112 | 0 | null | 0.71 | 16 | 11 | 74 | 0 | 2 | 12 | 2 | 16 | 13 | 90 | 0.8 | 37 |
1,684 | util | https://github.com/landscapeio/prospector | ['linting', 'styling'] | null | [] | [] | null | null | null | landscapeio/prospector | prospector | 1,882 | 176 | 35 | Python | null | Inspects Python source files and provides information about type and location of classes, methods etc | landscapeio | 2024-01-12 | 2013-08-05 | 547 | 3.439687 | https://avatars.githubusercontent.com/u/4759094?v=4 | Inspects Python source files and provides information about type and location of classes, methods etc | [] | ['linting', 'styling'] | 2023-10-18 | [('eugeneyan/python-collab-template', 0.6496816873550415, 'template', 1), ('google/pytype', 0.6452606916427612, 'typing', 0), ('pympler/pympler', 0.6098625659942627, 'perf', 0), ('hadialqattan/pycln', 0.6040316224098206, 'util', 0), ('nedbat/coveragepy', 0.6040084362030029, 'testing', 0), ('gaogaotiantian/viztracer', 0... | 90 | 3 | null | 0.88 | 15 | 2 | 127 | 3 | 4 | 10 | 4 | 15 | 23 | 90 | 1.5 | 37 |
298 | util | https://github.com/julienpalard/pipe | [] | null | [] | [] | null | null | null | julienpalard/pipe | Pipe | 1,797 | 111 | 26 | Python | null | A Python library to use infix notation in Python | julienpalard | 2024-01-13 | 2010-04-08 | 720 | 2.49336 | null | A Python library to use infix notation in Python | [] | [] | 2024-01-07 | [('google/latexify_py', 0.5925378799438477, 'util', 0), ('pytoolz/toolz', 0.5835241079330444, 'util', 0), ('connorferster/handcalcs', 0.5392968058586121, 'jupyter', 0), ('pyston/pyston', 0.5197369456291199, 'util', 0), ('sympy/sympy', 0.5134634971618652, 'math', 0), ('pmorissette/ffn', 0.5104817748069763, 'finance', 0)... | 29 | 4 | null | 0.17 | 9 | 6 | 168 | 0 | 0 | 1 | 1 | 9 | 22 | 90 | 2.4 | 37 |
591 | data | https://github.com/uber/petastorm | [] | null | [] | [] | null | null | null | uber/petastorm | petastorm | 1,711 | 280 | 41 | Python | null | 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 | 2024-01-12 | 2018-06-15 | 293 | 5.828224 | https://avatars.githubusercontent.com/u/538264?v=4 | 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. | ['deep-learning', 'machine-learning', 'parquet', 'parquet-files', 'pyarrow', 'pyspark', 'pytorch', 'sysml', 'tensorflow'] | ['deep-learning', 'machine-learning', 'parquet', 'parquet-files', 'pyarrow', 'pyspark', 'pytorch', 'sysml', 'tensorflow'] | 2023-12-02 | [('microsoft/deepspeed', 0.6462931632995605, 'ml-dl', 3), ('horovod/horovod', 0.6362690329551697, 'ml-ops', 4), ('determined-ai/determined', 0.6062763929367065, 'ml-ops', 4), ('ageron/handson-ml2', 0.5999022126197815, 'ml', 0), ('gradio-app/gradio', 0.5904715061187744, 'viz', 2), ('pytorch/ignite', 0.5855341553688049, ... | 50 | 4 | null | 0.06 | 4 | 2 | 68 | 1 | 1 | 20 | 1 | 4 | 4 | 90 | 1 | 37 |
1,004 | finance | https://github.com/pmorissette/ffn | [] | null | [] | [] | null | null | null | pmorissette/ffn | ffn | 1,697 | 283 | 59 | Python | pmorissette.github.io/ffn | ffn - a financial function library for Python | pmorissette | 2024-01-13 | 2014-06-19 | 501 | 3.382403 | null | ffn - a financial function library for Python | [] | [] | 2023-12-31 | [('pytoolz/toolz', 0.6924606561660767, 'util', 0), ('domokane/financepy', 0.6907992959022522, 'finance', 0), ('goldmansachs/gs-quant', 0.6325653195381165, 'finance', 0), ('gbeced/pyalgotrade', 0.628166913986206, 'finance', 0), ('ta-lib/ta-lib-python', 0.5941312909126282, 'finance', 0), ('fredrik-johansson/mpmath', 0.58... | 32 | 3 | null | 0.44 | 22 | 18 | 117 | 0 | 4 | 1 | 4 | 22 | 15 | 90 | 0.7 | 37 |
629 | debug | https://github.com/alexmojaki/birdseye | [] | null | [] | [] | null | null | null | alexmojaki/birdseye | birdseye | 1,593 | 75 | 42 | JavaScript | https://birdseye.readthedocs.io | Graphical Python debugger which lets you easily view the values of all evaluated expressions | alexmojaki | 2024-01-13 | 2017-07-22 | 340 | 4.679396 | null | Graphical Python debugger which lets you easily view the values of all evaluated expressions | ['ast', 'birdseye', 'debugger', 'debugging', 'python-debugger'] | ['ast', 'birdseye', 'debugger', 'debugging', 'python-debugger'] | 2023-10-16 | [('alexmojaki/snoop', 0.6003603935241699, 'debug', 2), ('alexmojaki/heartrate', 0.5575025081634521, 'debug', 1), ('gaogaotiantian/viztracer', 0.5461402535438538, 'profiling', 1), ('samuelcolvin/python-devtools', 0.5242282748222351, 'debug', 0), ('google/pytype', 0.5039346218109131, 'typing', 0)] | 10 | 4 | null | 0.02 | 2 | 2 | 79 | 3 | 0 | 1 | 1 | 2 | 9 | 90 | 4.5 | 37 |
179 | nlp | https://github.com/explosion/spacy-models | [] | null | [] | [] | null | null | null | explosion/spacy-models | spacy-models | 1,465 | 301 | 47 | Python | https://spacy.io | 💫 Models for the spaCy Natural Language Processing (NLP) library | explosion | 2024-01-12 | 2017-03-14 | 359 | 4.08078 | https://avatars.githubusercontent.com/u/20011530?v=4 | 💫 Models for the spaCy Natural Language Processing (NLP) library | ['machine-learning', 'machine-learning-models', 'models', 'natural-language-processing', 'nlp', 'spacy', 'spacy-models', 'statistical-models'] | ['machine-learning', 'machine-learning-models', 'models', 'natural-language-processing', 'nlp', 'spacy', 'spacy-models', 'statistical-models'] | 2023-11-22 | [('explosion/spacy-stanza', 0.7454922199249268, 'nlp', 4), ('nltk/nltk', 0.6720556020736694, 'nlp', 3), ('huggingface/neuralcoref', 0.6682751774787903, 'nlp', 3), ('explosion/spacy-transformers', 0.6662450432777405, 'llm', 4), ('explosion/spacy-streamlit', 0.6529020071029663, 'nlp', 4), ('flairnlp/flair', 0.64285451173... | 14 | 7 | null | 4.5 | 3 | 3 | 83 | 2 | 199 | 149 | 199 | 3 | 0 | 90 | 0 | 37 |
1,617 | util | https://github.com/samuelcolvin/watchfiles | [] | null | [] | [] | null | null | null | samuelcolvin/watchfiles | watchfiles | 1,435 | 99 | 18 | Python | https://watchfiles.helpmanual.io | Simple, modern and fast file watching and code reload in python. | samuelcolvin | 2024-01-14 | 2017-10-13 | 328 | 4.367391 | null | Simple, modern and fast file watching and code reload in python. | ['asyncio', 'filesystem', 'inotify', 'inotifywatch', 'notify', 'uvicorn'] | ['asyncio', 'filesystem', 'inotify', 'inotifywatch', 'notify', 'uvicorn'] | 2023-11-25 | [('airtai/faststream', 0.5354728698730469, 'perf', 1), ('tox-dev/py-filelock', 0.5285630822181702, 'util', 0), ('magicstack/uvloop', 0.5178032517433167, 'util', 1), ('timofurrer/awesome-asyncio', 0.5153577327728271, 'study', 1), ('erotemic/ubelt', 0.5087971091270447, 'util', 0), ('sumerc/yappi', 0.5043572187423706, 'pr... | 40 | 3 | null | 0.25 | 10 | 4 | 76 | 2 | 3 | 5 | 3 | 10 | 15 | 90 | 1.5 | 37 |
645 | profiling | https://github.com/p403n1x87/austin | [] | null | [] | [] | null | null | null | p403n1x87/austin | austin | 1,311 | 40 | 17 | C | https://pypi.org/project/austin-dist/ | Python frame stack sampler for CPython | p403n1x87 | 2024-01-12 | 2018-09-20 | 279 | 4.686925 | null | Python frame stack sampler for CPython | ['debugging-tools', 'performance', 'profiling'] | ['debugging-tools', 'performance', 'profiling'] | 2023-10-04 | [('faster-cpython/tools', 0.6291638612747192, 'perf', 0), ('faster-cpython/ideas', 0.6115438938140869, 'perf', 0), ('benfred/py-spy', 0.5970548987388611, 'profiling', 1), ('brandtbucher/specialist', 0.5802419185638428, 'perf', 0), ('gotcha/ipdb', 0.5680873394012451, 'debug', 0), ('pympler/pympler', 0.5645143389701843, ... | 7 | 4 | null | 1.19 | 2 | 0 | 65 | 3 | 2 | 5 | 2 | 2 | 7 | 90 | 3.5 | 37 |
612 | testing | https://github.com/pytest-dev/pytest-bdd | [] | null | [] | [] | null | null | null | pytest-dev/pytest-bdd | pytest-bdd | 1,239 | 210 | 57 | Python | https://pytest-bdd.readthedocs.io/en/latest/ | BDD library for the py.test runner | pytest-dev | 2024-01-13 | 2013-03-29 | 565 | 2.190705 | https://avatars.githubusercontent.com/u/8897583?v=4 | BDD library for the py.test runner | [] | [] | 2023-12-02 | [('behave/behave', 0.6536642909049988, 'testing', 0), ('nedbat/coveragepy', 0.6206257939338684, 'testing', 0), ('pmorissette/bt', 0.5979208946228027, 'finance', 0), ('ionelmc/pytest-benchmark', 0.5788668394088745, 'testing', 0), ('wolever/parameterized', 0.5707379579544067, 'testing', 0), ('libtcod/python-tcod', 0.5265... | 60 | 3 | null | 1.1 | 33 | 14 | 131 | 1 | 0 | 9 | 9 | 33 | 37 | 90 | 1.1 | 37 |
791 | data | https://github.com/jsonpickle/jsonpickle | [] | null | [] | [] | null | null | null | jsonpickle/jsonpickle | jsonpickle | 1,180 | 163 | 34 | Python | https://jsonpickle.readthedocs.io/en/latest/ | 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 | 2024-01-13 | 2009-12-10 | 737 | 1.599535 | https://avatars.githubusercontent.com/u/165337?v=4 | 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. | ['bsd-3-clause', 'deserialization', 'json', 'objectstorage', 'pickle', 'serialization'] | ['bsd-3-clause', 'deserialization', 'json', 'objectstorage', 'pickle', 'serialization'] | 2023-12-03 | [('marshmallow-code/marshmallow', 0.6203814744949341, 'util', 2), ('python-odin/odin', 0.6082868576049805, 'util', 1), ('uqfoundation/dill', 0.601097047328949, 'data', 0), ('brokenloop/jsontopydantic', 0.5869114398956299, 'util', 0), ('yukinarit/pyserde', 0.5483598113059998, 'util', 2), ('strawberry-graphql/strawberry'... | 73 | 6 | null | 0.67 | 11 | 5 | 172 | 1 | 0 | 3 | 3 | 11 | 24 | 90 | 2.2 | 37 |
1,222 | testing | https://github.com/ionelmc/pytest-benchmark | [] | null | [] | [] | null | null | null | ionelmc/pytest-benchmark | pytest-benchmark | 1,158 | 115 | 19 | Python | null | py.test fixture for benchmarking code | ionelmc | 2024-01-12 | 2014-10-10 | 485 | 2.384819 | null | py.test fixture for benchmarking code | ['benchmark', 'benchmarking', 'performance', 'pytest'] | ['benchmark', 'benchmarking', 'performance', 'pytest'] | 2023-12-15 | [('klen/py-frameworks-bench', 0.6951150298118591, 'perf', 1), ('pytest-dev/pytest', 0.6786613464355469, 'testing', 0), ('samuelcolvin/dirty-equals', 0.6507035493850708, 'util', 1), ('locustio/locust', 0.6405083537101746, 'testing', 2), ('teemu/pytest-sugar', 0.6360356211662292, 'testing', 1), ('pytest-dev/pytest-mock',... | 41 | 6 | null | 0.29 | 11 | 6 | 113 | 1 | 0 | 2 | 2 | 11 | 20 | 90 | 1.8 | 37 |
442 | gis | https://github.com/toblerity/fiona | [] | null | [] | [] | null | null | null | toblerity/fiona | Fiona | 1,096 | 209 | 47 | Python | https://fiona.readthedocs.io/ | Fiona reads and writes geographic data files | toblerity | 2024-01-10 | 2011-12-31 | 630 | 1.7385 | https://avatars.githubusercontent.com/u/859968?v=4 | Fiona reads and writes geographic data files | ['cli', 'cython', 'gdal', 'gis', 'ogr', 'vector'] | ['cli', 'cython', 'gdal', 'gis', 'ogr', 'vector'] | 2023-12-17 | [('rasterio/rasterio', 0.5375838279724121, 'gis', 4)] | 72 | 3 | null | 2.04 | 23 | 18 | 147 | 1 | 8 | 10 | 8 | 23 | 33 | 90 | 1.4 | 37 |
1,467 | term | https://github.com/1j01/textual-paint | [] | null | [] | [] | null | null | null | 1j01/textual-paint | textual-paint | 861 | 10 | 4 | Python | https://pypi.org/project/textual-paint/ | :art: MS Paint in your terminal. | 1j01 | 2024-01-12 | 2023-04-10 | 42 | 20.430508 | null | :art: MS Paint in your terminal. | ['ansi-art', 'ansi-editor', 'artscene', 'ascii-art', 'bbs', 'drawing', 'image', 'image-editor', 'irc', 'mirc', 'mspaint', 'paint', 'pixel-art', 'pixel-editor', 'terminal', 'text-art', 'textual', 'tui'] | ['ansi-art', 'ansi-editor', 'artscene', 'ascii-art', 'bbs', 'drawing', 'image', 'image-editor', 'irc', 'mirc', 'mspaint', 'paint', 'pixel-art', 'pixel-editor', 'terminal', 'text-art', 'textual', 'tui'] | 2024-01-12 | [('borisdayma/dalle-mini', 0.510983943939209, 'diffusion', 0)] | 1 | 0 | null | 28.81 | 0 | 0 | 9 | 0 | 0 | 5 | 5 | 0 | 0 | 90 | 0 | 37 |
1,735 | viz | https://github.com/pygraphviz/pygraphviz | [] | null | [] | [] | null | null | null | pygraphviz/pygraphviz | pygraphviz | 717 | 200 | 36 | C | https://pygraphviz.github.io/ | Python interface to Graphviz graph drawing package | pygraphviz | 2024-01-08 | 2013-08-02 | 547 | 1.309418 | https://avatars.githubusercontent.com/u/5148488?v=4 | Python interface to Graphviz graph drawing package | ['complex-networks', 'graph-visualization', 'spec-0'] | ['complex-networks', 'graph-visualization', 'spec-0'] | 2024-01-08 | [('westhealth/pyvis', 0.7577512264251709, 'graph', 0), ('pydot/pydot', 0.7296152114868164, 'viz', 0), ('networkx/networkx', 0.6983128786087036, 'graph', 3), ('graphistry/pygraphistry', 0.678774356842041, 'data', 1), ('plotly/plotly.py', 0.6489458680152893, 'viz', 0), ('artelys/geonetworkx', 0.5921590328216553, 'gis', 0... | 53 | 5 | null | 1.04 | 34 | 23 | 127 | 0 | 3 | 2 | 3 | 34 | 59 | 90 | 1.7 | 37 |
1,704 | util | https://github.com/mtkennerly/poetry-dynamic-versioning | ['poetry'] | null | [] | [] | null | null | null | mtkennerly/poetry-dynamic-versioning | poetry-dynamic-versioning | 530 | 33 | 4 | Python | null | Plugin for Poetry to enable dynamic versioning based on VCS tags | mtkennerly | 2024-01-13 | 2019-06-06 | 242 | 2.183637 | null | Plugin for Poetry to enable dynamic versioning based on VCS tags | ['bazaar', 'darcs', 'dynamic-version', 'fossil', 'fossil-scm', 'git', 'mercurial', 'pijul', 'plugin', 'poetry', 'semantic-versioning', 'subversion', 'versioning'] | ['bazaar', 'darcs', 'dynamic-version', 'fossil', 'fossil-scm', 'git', 'mercurial', 'pijul', 'plugin', 'poetry', 'semantic-versioning', 'subversion', 'versioning'] | 2024-01-03 | [('mtkennerly/dunamai', 0.7415024042129517, 'util', 11), ('tiangolo/poetry-version-plugin', 0.6403163075447083, 'util', 0), ('pypa/setuptools_scm', 0.6003091931343079, 'util', 2), ('python-versioneer/python-versioneer', 0.5653854012489319, 'util', 0), ('callowayproject/bump-my-version', 0.5595990419387817, 'util', 1), ... | 13 | 3 | null | 1.1 | 13 | 12 | 56 | 0 | 11 | 13 | 11 | 13 | 34 | 90 | 2.6 | 37 |
1,861 | sim | https://github.com/nvidia-omniverse/omniisaacgymenvs | ['robot-learning'] | null | [] | [] | null | null | null | nvidia-omniverse/omniisaacgymenvs | OmniIsaacGymEnvs | 518 | 141 | 16 | Python | null | Reinforcement Learning Environments for Omniverse Isaac Gym | nvidia-omniverse | 2024-01-14 | 2022-06-01 | 86 | 5.963816 | https://avatars.githubusercontent.com/u/57824658?v=4 | Reinforcement Learning Environments for Omniverse Isaac Gym | [] | ['robot-learning'] | 2023-12-08 | [('nvidia-omniverse/isaacgymenvs', 0.8064512610435486, 'sim', 0), ('nvidia-omniverse/orbit', 0.6811214685440063, 'sim', 1), ('humancompatibleai/imitation', 0.6052762866020203, 'ml-rl', 0), ('farama-foundation/gymnasium', 0.6047082543373108, 'ml-rl', 0), ('arise-initiative/robosuite', 0.5800082087516785, 'ml-rl', 1), ('... | 6 | 1 | null | 1.4 | 59 | 17 | 20 | 1 | 0 | 4 | 4 | 59 | 151 | 90 | 2.6 | 37 |
1,527 | llm | https://github.com/vahe1994/spqr | ['falcon', 'llama', 'quantization', 'compression'] | Quantization algorithm and the model evaluation code for SpQR method for LLM compression | [] | [] | null | null | null | vahe1994/spqr | SpQR | 475 | 39 | 22 | Python | null | null | vahe1994 | 2024-01-12 | 2023-06-05 | 34 | 13.912134 | null | Quantization algorithm and the model evaluation code for SpQR method for LLM compression | [] | ['compression', 'falcon', 'llama', 'quantization'] | 2023-11-13 | [('opengvlab/omniquant', 0.6055932641029358, 'llm', 1), ('artidoro/qlora', 0.5260251760482788, 'llm', 0)] | 8 | 5 | null | 0.52 | 8 | 4 | 7 | 2 | 0 | 0 | 0 | 8 | 5 | 90 | 0.6 | 37 |
556 | gis | https://github.com/corteva/rioxarray | [] | null | [] | [] | null | null | null | corteva/rioxarray | rioxarray | 455 | 69 | 16 | Python | https://corteva.github.io/rioxarray | geospatial xarray extension powered by rasterio | corteva | 2024-01-09 | 2019-04-16 | 250 | 1.82 | https://avatars.githubusercontent.com/u/39543515?v=4 | geospatial xarray extension powered by rasterio | ['gdal', 'geospatial', 'gis', 'netcdf', 'raster', 'rasterio', 'xarray'] | ['gdal', 'geospatial', 'gis', 'netcdf', 'raster', 'rasterio', 'xarray'] | 2023-12-29 | [('osgeo/gdal', 0.5278557538986206, 'gis', 1), ('rasterio/rasterio', 0.5225644707679749, 'gis', 3), ('makepath/xarray-spatial', 0.511622428894043, 'gis', 1), ('cogeotiff/rio-tiler', 0.5002418756484985, 'gis', 3)] | 33 | 7 | null | 1 | 30 | 12 | 58 | 0 | 4 | 14 | 4 | 30 | 37 | 90 | 1.2 | 37 |
1,700 | template | https://github.com/asacristani/fastapi-rocket-boilerplate | [] | null | [] | [] | null | null | null | asacristani/fastapi-rocket-boilerplate | fastapi-rocket-boilerplate | 370 | 56 | 6 | Python | null | 🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies! | asacristani | 2024-01-10 | 2023-09-20 | 18 | 19.621212 | null | 🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies! | ['boilerplate', 'boilerplate-backend', 'fastapi'] | ['boilerplate', 'boilerplate-backend', 'fastapi'] | 2023-10-16 | [('tiangolo/fastapi', 0.7025260925292969, 'web', 1), ('fastai/fastcore', 0.6752527952194214, 'util', 0), ('rawheel/fastapi-boilerplate', 0.6740272045135498, 'web', 2), ('s3rius/fastapi-template', 0.6634681224822998, 'web', 1), ('vitalik/django-ninja', 0.6605289578437805, 'web', 0), ('dmontagu/fastapi_client', 0.6545476... | 5 | 2 | null | 0.83 | 4 | 1 | 4 | 3 | 1 | 3 | 1 | 4 | 3 | 90 | 0.8 | 37 |
1,455 | util | https://github.com/conda/conda-build | ['conda'] | null | [] | [] | null | null | null | conda/conda-build | conda-build | 356 | 403 | 51 | Python | https://docs.conda.io/projects/conda-build/ | Commands and tools for building conda packages | conda | 2024-01-14 | 2014-01-17 | 523 | 0.679945 | https://avatars.githubusercontent.com/u/6392739?v=4 | Commands and tools for building conda packages | ['conda', 'conda-build', 'package-management'] | ['conda', 'conda-build', 'package-management'] | 2024-01-10 | [('conda/constructor', 0.8005626201629639, 'util', 1), ('mamba-org/boa', 0.7872036695480347, 'util', 1), ('mamba-org/quetz', 0.7619379758834839, 'util', 1), ('conda/conda-pack', 0.7299324870109558, 'util', 1), ('mamba-org/mamba', 0.6777679920196533, 'util', 1), ('mamba-org/gator', 0.6426661014556885, 'jupyter', 1), ('p... | 244 | 3 | null | 4.15 | 391 | 335 | 122 | 0 | 9 | 25 | 9 | 390 | 208 | 90 | 0.5 | 37 |
1,761 | data | https://github.com/tconbeer/sqlfmt | ['code-quality'] | null | [] | [] | 1 | null | null | tconbeer/sqlfmt | sqlfmt | 307 | 11 | 3 | Python | https://sqlfmt.com | sqlfmt formats your dbt SQL files so you don't have to | tconbeer | 2024-01-11 | 2021-07-19 | 132 | 2.323243 | null | sqlfmt formats your dbt SQL files so you don't have to | ['dbt', 'formatter', 'sql'] | ['code-quality', 'dbt', 'formatter', 'sql'] | 2024-01-12 | [('tconbeer/harlequin', 0.569164514541626, 'term', 1), ('databricks/dbt-databricks', 0.5048282146453857, 'data', 2)] | 12 | 5 | null | 2.1 | 56 | 41 | 30 | 0 | 16 | 19 | 16 | 56 | 49 | 90 | 0.9 | 37 |
1,357 | gis | https://github.com/raphaelquast/eomaps | [] | null | [] | [] | null | null | null | raphaelquast/eomaps | EOmaps | 284 | 20 | 5 | Python | https://eomaps.readthedocs.io/ | A library to create interactive maps of geographical datasets | raphaelquast | 2024-01-13 | 2021-09-27 | 122 | 2.325146 | null | A library to create interactive maps of geographical datasets | ['cartopy', 'earth-observation', 'geospatial', 'gis', 'interactive-maps', 'interactive-visualization', 'mapping', 'matplotlib', 'plotting', 'visualization'] | ['cartopy', 'earth-observation', 'geospatial', 'gis', 'interactive-maps', 'interactive-visualization', 'mapping', 'matplotlib', 'plotting', 'visualization'] | 2023-12-20 | [('residentmario/geoplot', 0.707546055316925, 'gis', 1), ('scitools/cartopy', 0.6839972138404846, 'gis', 2), ('opengeos/leafmap', 0.6778762936592102, 'gis', 3), ('holoviz/geoviews', 0.6664366126060486, 'gis', 2), ('giswqs/geemap', 0.6554696559906006, 'gis', 3), ('gregorhd/mapcompare', 0.625028669834137, 'gis', 0), ('ge... | 6 | 3 | null | 22.73 | 37 | 27 | 28 | 1 | 25 | 33 | 25 | 37 | 61 | 90 | 1.6 | 37 |
582 | ml | https://github.com/merantix-momentum/squirrel-core | [] | null | [] | [] | null | null | null | merantix-momentum/squirrel-core | squirrel-core | 271 | 8 | 14 | Python | https://squirrel-core.readthedocs.io/ | A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut: | merantix-momentum | 2024-01-05 | 2022-02-11 | 102 | 2.642061 | https://avatars.githubusercontent.com/u/98414099?v=4 | A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰 | ['ai', 'cloud-computing', 'collaboration', 'computer-vision', 'cv', 'data-ingestion', 'data-mesh', 'data-science', 'dataops', 'datasets', 'deep-learning', 'distributed', 'jax', 'machine-learning', 'ml', 'natural-language-processing', 'nlp', 'pytorch', 'tensorflow'] | ['ai', 'cloud-computing', 'collaboration', 'computer-vision', 'cv', 'data-ingestion', 'data-mesh', 'data-science', 'dataops', 'datasets', 'deep-learning', 'distributed', 'jax', 'machine-learning', 'ml', 'natural-language-processing', 'nlp', 'pytorch', 'tensorflow'] | 2024-01-04 | [('eventual-inc/daft', 0.6807416081428528, 'pandas', 3), ('huggingface/datasets', 0.6653859615325928, 'nlp', 8), ('gradio-app/gradio', 0.6419711709022522, 'viz', 3), ('tensorflow/tensorflow', 0.6386204957962036, 'ml-dl', 5), ('mlflow/mlflow', 0.63669753074646, 'ml-ops', 3), ('kubeflow/fairing', 0.6223782300949097, 'ml-... | 16 | 6 | null | 0.4 | 33 | 30 | 23 | 0 | 7 | 10 | 7 | 33 | 42 | 90 | 1.3 | 37 |
1,458 | util | https://github.com/mamba-org/micromamba-docker | [] | null | [] | [] | null | null | null | mamba-org/micromamba-docker | micromamba-docker | 232 | 41 | 11 | Shell | null | Rapid builds of small Conda-based containers using micromamba. | mamba-org | 2024-01-13 | 2021-01-22 | 157 | 1.472348 | https://avatars.githubusercontent.com/u/66118895?v=4 | Rapid builds of small Conda-based containers using micromamba. | ['build', 'ci', 'conda', 'container', 'docker', 'dockerfile', 'environment', 'mamba', 'micromamba'] | ['build', 'ci', 'conda', 'container', 'docker', 'dockerfile', 'environment', 'mamba', 'micromamba'] | 2024-01-11 | [('mamba-org/boa', 0.6690220236778259, 'util', 2), ('conda/conda-build', 0.5653933882713318, 'util', 1), ('darribas/gds_env', 0.5356658697128296, 'gis', 1), ('mamba-org/quetz', 0.5259016752243042, 'util', 1)] | 18 | 7 | null | 2.67 | 34 | 33 | 36 | 0 | 18 | 11 | 18 | 34 | 42 | 90 | 1.2 | 37 |
1,614 | llm | https://github.com/tiger-ai-lab/mammoth | ['instruction-tuning'] | null | [] | [] | null | null | null | tiger-ai-lab/mammoth | MAmmoTH | 221 | 23 | 11 | Jupyter Notebook | null | This repo contains the code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" | tiger-ai-lab | 2024-01-12 | 2023-09-06 | 20 | 10.59589 | https://avatars.githubusercontent.com/u/144196744?v=4 | This repo contains the code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" | [] | ['instruction-tuning'] | 2024-01-13 | [('declare-lab/instruct-eval', 0.6364500522613525, 'llm', 0), ('yizhongw/self-instruct', 0.5941129922866821, 'llm', 1), ('tatsu-lab/stanford_alpaca', 0.5743323564529419, 'llm', 0), ('instruction-tuning-with-gpt-4/gpt-4-llm', 0.5739008784294128, 'llm', 1), ('hiyouga/llama-efficient-tuning', 0.5284292697906494, 'llm', 1)... | 4 | 3 | null | 0.98 | 18 | 13 | 4 | 0 | 0 | 0 | 0 | 18 | 25 | 90 | 1.4 | 37 |
1,453 | util | https://github.com/conda-forge/conda-smithy | [] | null | [] | [] | null | null | null | conda-forge/conda-smithy | conda-smithy | 140 | 173 | 25 | Python | https://conda-forge.org/ | The tool for managing conda-forge feedstocks. | conda-forge | 2024-01-05 | 2015-04-11 | 459 | 0.304726 | https://avatars.githubusercontent.com/u/11897326?v=4 | The tool for managing conda-forge feedstocks. | ['continuous-integration'] | ['continuous-integration'] | 2024-01-11 | [('conda-forge/feedstocks', 0.8073468208312988, 'util', 0), ('conda/conda-build', 0.5523984432220459, 'util', 0), ('conda/conda-pack', 0.5372809767723083, 'util', 0), ('mamba-org/quetz', 0.5191918015480042, 'util', 0), ('mamba-org/mamba', 0.5094754695892334, 'util', 0)] | 112 | 3 | null | 6.65 | 61 | 48 | 107 | 0 | 19 | 24 | 19 | 61 | 174 | 90 | 2.9 | 37 |
101 | nlp | https://github.com/clips/pattern | [] | null | [] | [] | null | null | null | clips/pattern | pattern | 8,609 | 1,600 | 544 | Python | https://github.com/clips/pattern/wiki | Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. | clips | 2024-01-13 | 2011-05-03 | 665 | 12.945865 | https://avatars.githubusercontent.com/u/765924?v=4 | Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. | ['machine-learning', 'natural-language-processing', 'network-analysis', 'sentiment-analysis', 'web-mining', 'wordnet'] | ['machine-learning', 'natural-language-processing', 'network-analysis', 'sentiment-analysis', 'web-mining', 'wordnet'] | 2020-04-25 | [('alirezamika/autoscraper', 0.7112637758255005, 'data', 1), ('scrapy/scrapy', 0.667265772819519, 'data', 0), ('webpy/webpy', 0.6514905095100403, 'web', 0), ('rasbt/mlxtend', 0.6350256204605103, 'ml', 1), ('roniemartinez/dude', 0.6342862844467163, 'util', 0), ('sloria/textblob', 0.6183449029922485, 'nlp', 1), ('masonit... | 30 | 6 | null | 0 | 2 | 0 | 155 | 45 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 36 |
137 | nlp | https://github.com/ddangelov/top2vec | [] | null | [] | [] | null | null | null | ddangelov/top2vec | Top2Vec | 2,768 | 363 | 40 | Python | null | Top2Vec learns jointly embedded topic, document and word vectors. | ddangelov | 2024-01-13 | 2020-03-20 | 201 | 13.732105 | null | Top2Vec learns jointly embedded topic, document and word vectors. | ['bert', 'document-embedding', 'pre-trained-language-models', 'semantic-search', 'sentence-encoder', 'sentence-transformers', 'text-search', 'text-semantic-similarity', 'top2vec', 'topic-modeling', 'topic-modelling', 'topic-search', 'topic-vector', 'word-embeddings'] | ['bert', 'document-embedding', 'pre-trained-language-models', 'semantic-search', 'sentence-encoder', 'sentence-transformers', 'text-search', 'text-semantic-similarity', 'top2vec', 'topic-modeling', 'topic-modelling', 'topic-search', 'topic-vector', 'word-embeddings'] | 2023-11-16 | [('sebischair/lbl2vec', 0.8003798723220825, 'nlp', 1), ('paddlepaddle/paddlenlp', 0.6133404970169067, 'llm', 1), ('neuml/txtai', 0.608359694480896, 'nlp', 1), ('maartengr/bertopic', 0.6046782732009888, 'nlp', 3), ('rare-technologies/gensim', 0.59908527135849, 'nlp', 2), ('muennighoff/sgpt', 0.5922024846076965, 'llm', 1... | 2 | 0 | null | 0.54 | 11 | 3 | 46 | 2 | 7 | 7 | 7 | 11 | 7 | 90 | 0.6 | 36 |
685 | ml-dl | https://github.com/nerdyrodent/vqgan-clip | [] | null | [] | [] | null | null | null | nerdyrodent/vqgan-clip | VQGAN-CLIP | 2,537 | 423 | 53 | Python | null | Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. | nerdyrodent | 2024-01-12 | 2021-07-02 | 134 | 18.852442 | null | Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. | ['text-to-image', 'text2image'] | ['text-to-image', 'text2image'] | 2022-10-02 | [] | 7 | 2 | null | 0 | 5 | 2 | 31 | 16 | 0 | 0 | 0 | 5 | 4 | 90 | 0.8 | 36 |
725 | study | https://github.com/amanchadha/coursera-deep-learning-specialization | [] | null | [] | [] | null | null | null | amanchadha/coursera-deep-learning-specialization | coursera-deep-learning-specialization | 2,459 | 1,925 | 25 | Jupyter Notebook | null | 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) C... | amanchadha | 2024-01-13 | 2020-06-24 | 187 | 13.089734 | null | 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) C... | ['andrew-ng', 'andrew-ng-course', 'cnns', 'convolutional-neural-network', 'convolutional-neural-networks', 'coursera', 'coursera-assignment', 'coursera-machine-learning', 'coursera-specialization', 'deep-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-machine-translation', 'neural-network', '... | ['andrew-ng', 'andrew-ng-course', 'cnns', 'convolutional-neural-network', 'convolutional-neural-networks', 'coursera', 'coursera-assignment', 'coursera-machine-learning', 'coursera-specialization', 'deep-learning', 'hyperparameter-optimization', 'hyperparameter-tuning', 'neural-machine-translation', 'neural-network', '... | 2024-01-12 | [('udacity/deep-learning-v2-pytorch', 0.6206496357917786, 'study', 2), ('alirezadir/machine-learning-interview-enlightener', 0.6021793484687805, 'study', 1), ('mrdbourke/tensorflow-deep-learning', 0.592336118221283, 'study', 1), ('mosaicml/composer', 0.5713127255439758, 'ml-dl', 3), ('explosion/thinc', 0.56821089982986... | 8 | 2 | null | 0.04 | 4 | 1 | 43 | 0 | 0 | 0 | 0 | 4 | 0 | 90 | 0 | 36 |
235 | nlp | https://github.com/salesforce/codet5 | [] | null | [] | [] | null | null | null | salesforce/codet5 | CodeT5 | 2,438 | 381 | 40 | Python | https://arxiv.org/abs/2305.07922 | Home of CodeT5: Open Code LLMs for Code Understanding and Generation | salesforce | 2024-01-14 | 2021-08-16 | 128 | 19.025641 | https://avatars.githubusercontent.com/u/453694?v=4 | Home of CodeT5: Open Code LLMs for Code Understanding and Generation | ['code-generation', 'code-intelligence', 'code-understanding', 'language-model', 'large-language-models'] | ['code-generation', 'code-intelligence', 'code-understanding', 'language-model', 'large-language-models'] | 2023-07-21 | [('thudm/codegeex', 0.6897627115249634, 'llm', 1), ('salesforce/codegen', 0.6593608856201172, 'nlp', 0), ('ludwig-ai/ludwig', 0.6258037686347961, 'ml-ops', 0), ('alpha-vllm/llama2-accessory', 0.6213086843490601, 'llm', 0), ('salesforce/xgen', 0.6172817945480347, 'llm', 2), ('eugeneyan/open-llms', 0.6007983088493347, 's... | 3 | 1 | null | 0.44 | 14 | 3 | 29 | 6 | 0 | 0 | 0 | 14 | 9 | 90 | 0.6 | 36 |
1,326 | util | https://github.com/scrapinghub/dateparser | ['date', 'datetime', 'parsing'] | null | [] | [] | null | null | null | scrapinghub/dateparser | dateparser | 2,408 | 462 | 134 | Python | null | python parser for human readable dates | scrapinghub | 2024-01-13 | 2014-11-24 | 479 | 5.025641 | https://avatars.githubusercontent.com/u/699596?v=4 | python parser for human readable dates | [] | ['date', 'datetime', 'parsing'] | 2023-12-21 | [('dateutil/dateutil', 0.7123557329177856, 'util', 2), ('sdispater/pendulum', 0.6702179908752441, 'util', 2), ('arrow-py/arrow', 0.5817139744758606, 'util', 2)] | 133 | 0 | null | 0.62 | 30 | 15 | 111 | 1 | 3 | 3 | 3 | 30 | 33 | 90 | 1.1 | 36 |
1,815 | study | https://github.com/mrdbourke/zero-to-mastery-ml | [] | null | [] | [] | null | null | null | mrdbourke/zero-to-mastery-ml | zero-to-mastery-ml | 2,378 | 3,146 | 124 | Jupyter Notebook | https://dbourke.link/ZTMmlcourse | All course materials for the Zero to Mastery Machine Learning and Data Science course. | mrdbourke | 2024-01-13 | 2019-09-23 | 227 | 10.469182 | null | All course materials for the Zero to Mastery Machine Learning and Data Science course. | ['data-science', 'deep-learning', 'machine-learning'] | ['data-science', 'deep-learning', 'machine-learning'] | 2023-11-16 | [('mrdbourke/tensorflow-deep-learning', 0.7862590551376343, 'study', 1), ('mrdbourke/pytorch-deep-learning', 0.676668107509613, 'study', 2), ('firmai/industry-machine-learning', 0.5863468647003174, 'study', 2), ('patchy631/machine-learning', 0.5848323106765747, 'ml', 0), ('amanchadha/coursera-deep-learning-specializati... | 25 | 1 | null | 1.21 | 6 | 2 | 52 | 2 | 0 | 0 | 0 | 6 | 5 | 90 | 0.8 | 36 |
1,627 | math | https://github.com/mckinsey/causalnex | ['causation'] | null | [] | [] | null | null | null | mckinsey/causalnex | causalnex | 2,070 | 242 | 46 | Python | http://causalnex.readthedocs.io/ | A Python library that helps data scientists to infer causation rather than observing correlation. | mckinsey | 2024-01-12 | 2019-12-12 | 215 | 9.596026 | https://avatars.githubusercontent.com/u/4265350?v=4 | A Python library that helps data scientists to infer causation rather than observing correlation. | ['bayesian-inference', 'bayesian-networks', 'causal-inference', 'causal-models', 'causal-networks', 'causalnex', 'data-science', 'machine-learning'] | ['bayesian-inference', 'bayesian-networks', 'causal-inference', 'causal-models', 'causal-networks', 'causalnex', 'causation', 'data-science', 'machine-learning'] | 2023-07-11 | [('py-why/dowhy', 0.7358757853507996, 'ml', 5), ('willianfuks/tfcausalimpact', 0.6074860692024231, 'math', 1), ('py-why/econml', 0.5422161221504211, 'ml', 2), ('rasbt/mlxtend', 0.5194756984710693, 'ml', 2), ('carla-recourse/carla', 0.5116320252418518, 'ml', 1), ('teamhg-memex/eli5', 0.5101348161697388, 'ml', 2)] | 35 | 3 | null | 0.37 | 7 | 0 | 50 | 6 | 4 | 5 | 4 | 7 | 1 | 90 | 0.1 | 36 |
1,505 | study | https://github.com/cgpotts/cs224u | ['nlp', 'nlu'] | Code for CS224u: Natural Language Understanding | [] | [] | null | null | null | cgpotts/cs224u | cs224u | 2,020 | 861 | 85 | Jupyter Notebook | null | Code for Stanford CS224u | cgpotts | 2024-01-12 | 2015-01-30 | 469 | 4.301795 | null | Code for Stanford CS224u | [] | ['nlp', 'nlu'] | 2023-12-14 | [('tatsu-lab/stanford_alpaca', 0.5506641268730164, 'llm', 0), ('lexpredict/lexpredict-lexnlp', 0.5473800897598267, 'nlp', 1), ('allenai/allennlp', 0.5052735805511475, 'nlp', 1)] | 30 | 6 | null | 0.44 | 2 | 2 | 109 | 1 | 0 | 0 | 0 | 2 | 2 | 90 | 1 | 36 |
301 | template | https://github.com/pyscaffold/pyscaffold | [] | null | [] | [] | null | null | null | pyscaffold/pyscaffold | pyscaffold | 1,941 | 177 | 39 | Python | https://pyscaffold.org | 🛠 Python project template generator with batteries included | pyscaffold | 2024-01-13 | 2014-04-02 | 512 | 3.78468 | https://avatars.githubusercontent.com/u/34571116?v=4 | 🛠 Python project template generator with batteries included | ['distribution', 'git', 'package', 'package-creation', 'project-template', 'release-automation', 'template-project'] | ['distribution', 'git', 'package', 'package-creation', 'project-template', 'release-automation', 'template-project'] | 2023-06-20 | [('eugeneyan/python-collab-template', 0.6021620631217957, 'template', 0), ('martinheinz/python-project-blueprint', 0.5791087746620178, 'template', 0), ('sqlalchemy/mako', 0.5707492828369141, 'template', 0), ('pypa/hatch', 0.5699118971824646, 'util', 0), ('tezromach/python-package-template', 0.553695797920227, 'template... | 58 | 6 | null | 1.12 | 6 | 0 | 119 | 7 | 3 | 20 | 3 | 6 | 6 | 90 | 1 | 36 |
382 | llm | https://github.com/minimaxir/aitextgen | [] | null | [] | [] | null | null | null | minimaxir/aitextgen | aitextgen | 1,824 | 220 | 42 | Python | https://docs.aitextgen.io | A robust Python tool for text-based AI training and generation using GPT-2. | minimaxir | 2024-01-14 | 2019-12-29 | 213 | 8.551909 | null | A robust Python tool for text-based AI training and generation using GPT-2. | [] | [] | 2023-05-17 | [('minimaxir/gpt-2-simple', 0.7194006443023682, 'llm', 0), ('microsoft/pycodegpt', 0.6111297011375427, 'llm', 0), ('facebookresearch/parlai', 0.5751350522041321, 'nlp', 0), ('minimaxir/textgenrnn', 0.57369065284729, 'nlp', 0), ('huggingface/text-generation-inference', 0.563347339630127, 'llm', 0), ('databrickslabs/doll... | 11 | 4 | null | 0.04 | 3 | 0 | 49 | 8 | 0 | 3 | 3 | 3 | 3 | 90 | 1 | 36 |
364 | ml | https://github.com/rentruewang/koila | [] | null | [] | [] | null | null | null | rentruewang/koila | koila | 1,804 | 64 | 11 | Python | https://rentruewang.github.io/koila/ | Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code. | rentruewang | 2024-01-12 | 2021-11-17 | 114 | 15.706468 | null | Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code. | ['deep-learning', 'gradient-accumulation', 'lazy-evaluation', 'machine-learning', 'memory-management', 'neural-network', 'out-of-memory', 'pytorch'] | ['deep-learning', 'gradient-accumulation', 'lazy-evaluation', 'machine-learning', 'memory-management', 'neural-network', 'out-of-memory', 'pytorch'] | 2024-01-10 | [('blackhc/toma', 0.6982141137123108, 'ml-dl', 2), ('intel/intel-extension-for-pytorch', 0.6254847645759583, 'perf', 4), ('pytorch/ignite', 0.6201809644699097, 'ml-dl', 4), ('nvidia/apex', 0.6033901572227478, 'ml-dl', 0), ('mrdbourke/pytorch-deep-learning', 0.5876379609107971, 'study', 3), ('arogozhnikov/einops', 0.585... | 4 | 2 | null | 0.46 | 1 | 0 | 26 | 0 | 0 | 1 | 1 | 1 | 0 | 90 | 0 | 36 |
908 | math | https://github.com/google-research/torchsde | [] | null | [] | [] | null | null | null | google-research/torchsde | torchsde | 1,415 | 178 | 34 | Python | null | Differentiable SDE solvers with GPU support and efficient sensitivity analysis. | google-research | 2024-01-12 | 2020-07-06 | 186 | 7.601688 | https://avatars.githubusercontent.com/u/43830688?v=4 | Differentiable SDE solvers with GPU support and efficient sensitivity analysis. | ['deep-learning', 'deep-neural-networks', 'differential-equations', 'dynamical-systems', 'neural-differential-equations', 'pytorch', 'stochastic-differential-equations', 'stochastic-processes', 'stochastic-volatility-models'] | ['deep-learning', 'deep-neural-networks', 'differential-equations', 'dynamical-systems', 'neural-differential-equations', 'pytorch', 'stochastic-differential-equations', 'stochastic-processes', 'stochastic-volatility-models'] | 2023-09-26 | [('denys88/rl_games', 0.5168188810348511, 'ml-rl', 2), ('stability-ai/stability-sdk', 0.5064745545387268, 'diffusion', 0)] | 8 | 4 | null | 0.12 | 5 | 4 | 43 | 4 | 1 | 2 | 1 | 5 | 6 | 90 | 1.2 | 36 |
1,214 | crypto | https://github.com/binance/binance-public-data | [] | null | [] | [] | null | null | null | binance/binance-public-data | binance-public-data | 1,231 | 411 | 32 | Python | null | Details on how to get Binance public data | binance | 2024-01-13 | 2020-08-24 | 179 | 6.871611 | https://avatars.githubusercontent.com/u/69836600?v=4 | Details on how to get Binance public data | [] | [] | 2023-11-01 | [] | 20 | 3 | null | 0.15 | 51 | 38 | 41 | 2 | 0 | 0 | 0 | 51 | 48 | 90 | 0.9 | 36 |
949 | web | https://github.com/long2ice/fastapi-cache | [] | null | [] | [] | null | null | null | long2ice/fastapi-cache | fastapi-cache | 974 | 119 | 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 | 2024-01-12 | 2020-08-25 | 179 | 5.441341 | null | fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached. | ['cache', 'fastapi', 'memcached', 'redis'] | ['cache', 'fastapi', 'memcached', 'redis'] | 2023-12-07 | [('aio-libs/aiocache', 0.6432105898857117, 'data', 3), ('grantjenks/python-diskcache', 0.6009683609008789, 'util', 1), ('dgilland/cacheout', 0.5193830728530884, 'perf', 0), ('zilliztech/gptcache', 0.506112813949585, 'llm', 1), ('python-cachier/cachier', 0.5056164860725403, 'perf', 1), ('dmontagu/fastapi_client', 0.5032... | 26 | 1 | null | 2.75 | 65 | 38 | 41 | 1 | 1 | 3 | 1 | 65 | 43 | 90 | 0.7 | 36 |
482 | gis | https://github.com/sentinelsat/sentinelsat | [] | null | [] | [] | null | null | null | sentinelsat/sentinelsat | sentinelsat | 943 | 239 | 62 | Python | https://sentinelsat.readthedocs.io | Search and download Copernicus Sentinel satellite images | sentinelsat | 2024-01-10 | 2015-05-22 | 453 | 2.079055 | https://avatars.githubusercontent.com/u/29057552?v=4 | Search and download Copernicus Sentinel satellite images | ['copernicus', 'esa', 'geographic-data', 'open-data', 'remote-sensing', 'satellite-imagery', 'sentinel'] | ['copernicus', 'esa', 'geographic-data', 'open-data', 'remote-sensing', 'satellite-imagery', 'sentinel'] | 2023-11-08 | [('plant99/felicette', 0.6691089272499084, 'gis', 1), ('giswqs/aws-open-data-geo', 0.6044768691062927, 'gis', 2), ('sentinel-hub/sentinelhub-py', 0.5519406199455261, 'gis', 1), ('developmentseed/label-maker', 0.5269395112991333, 'gis', 2), ('azavea/raster-vision', 0.5150529742240906, 'gis', 1), ('developmentseed/landsa... | 43 | 5 | null | 0.23 | 11 | 9 | 105 | 2 | 1 | 3 | 1 | 11 | 37 | 90 | 3.4 | 36 |
1,140 | viz | https://github.com/nomic-ai/deepscatter | [] | null | [] | [] | null | null | null | nomic-ai/deepscatter | deepscatter | 928 | 42 | 16 | TypeScript | null | Zoomable, animated scatterplots in the browser that scales over a billion points | nomic-ai | 2024-01-13 | 2018-10-30 | 274 | 3.386861 | https://avatars.githubusercontent.com/u/102670180?v=4 | Zoomable, animated scatterplots in the browser that scales over a billion points | ['data-visualization', 'visualization', 'webgl'] | ['data-visualization', 'visualization', 'webgl'] | 2024-01-10 | [('visgl/deck.gl', 0.6989966630935669, 'viz', 3), ('holoviz/datashader', 0.6156784296035767, 'gis', 0), ('bokeh/bokeh', 0.594667911529541, 'viz', 1), ('mckinsey/vizro', 0.5346618294715881, 'viz', 2), ('altair-viz/altair', 0.5337156653404236, 'viz', 1), ('plotly/plotly.py', 0.5329233407974243, 'viz', 2), ('residentmario... | 16 | 4 | null | 2.17 | 11 | 8 | 63 | 0 | 3 | 1 | 3 | 11 | 4 | 90 | 0.4 | 36 |
874 | time-series | https://github.com/winedarksea/autots | [] | null | [] | [] | null | null | null | winedarksea/autots | AutoTS | 925 | 87 | 18 | Python | null | Automated Time Series Forecasting | winedarksea | 2024-01-13 | 2019-11-26 | 218 | 4.243119 | null | Automated Time Series Forecasting | ['automl', 'autots', 'deep-learning', 'feature-engineering', 'forecasting', 'machine-learning', 'preprocessing', 'time-series'] | ['automl', 'autots', 'deep-learning', 'feature-engineering', 'forecasting', 'machine-learning', 'preprocessing', 'time-series'] | 2024-01-03 | [('awslabs/autogluon', 0.7558371424674988, 'ml', 5), ('sktime/sktime', 0.7021391987800598, 'time-series', 3), ('ourownstory/neural_prophet', 0.6846452355384827, 'ml', 4), ('salesforce/merlion', 0.682404637336731, 'time-series', 4), ('microsoft/nni', 0.6789240837097168, 'ml', 4), ('automl/auto-sklearn', 0.67623889446258... | 1 | 0 | null | 5.08 | 21 | 15 | 50 | 0 | 13 | 12 | 13 | 21 | 50 | 90 | 2.4 | 36 |
929 | web | https://github.com/koxudaxi/fastapi-code-generator | [] | null | [] | [] | null | null | null | koxudaxi/fastapi-code-generator | fastapi-code-generator | 862 | 92 | 20 | Python | null | This code generator creates FastAPI app from an openapi file. | koxudaxi | 2024-01-12 | 2020-06-14 | 189 | 4.553962 | null | This code generator creates FastAPI app from an openapi file. | ['fastapi', 'generator', 'openapi', 'pydantic'] | ['fastapi', 'generator', 'openapi', 'pydantic'] | 2023-09-07 | [('dmontagu/fastapi_client', 0.6843157410621643, 'web', 0), ('asacristani/fastapi-rocket-boilerplate', 0.607068657875061, 'template', 1), ('kuimono/openapi-schema-pydantic', 0.6038326025009155, 'util', 1)] | 24 | 3 | null | 1.21 | 16 | 8 | 44 | 4 | 5 | 11 | 5 | 16 | 18 | 90 | 1.1 | 36 |
842 | util | https://github.com/wolph/python-progressbar | [] | null | [] | [] | null | null | null | wolph/python-progressbar | python-progressbar | 831 | 141 | 22 | Python | http://progressbar-2.readthedocs.org/en/latest/ | Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2" | wolph | 2024-01-10 | 2012-02-20 | 623 | 1.333563 | null | Progressbar 2 - A progress bar for Python 2 and Python 3 - "pip install progressbar2" | ['bar', 'cli', 'console', 'eta', 'gui', 'percentage', 'progress', 'progress-bar', 'progressbar', 'rate', 'terminal', 'time'] | ['bar', 'cli', 'console', 'eta', 'gui', 'percentage', 'progress', 'progress-bar', 'progressbar', 'rate', 'terminal', 'time'] | 2024-01-02 | [('tqdm/tqdm', 0.7864949107170105, 'term', 9), ('rockhopper-technologies/enlighten', 0.7673426270484924, 'term', 0), ('rsalmei/alive-progress', 0.6114795207977295, 'util', 7), ('hugovk/pypistats', 0.5268552303314209, 'util', 1)] | 46 | 3 | null | 0.96 | 13 | 9 | 145 | 0 | 3 | 9 | 3 | 13 | 38 | 90 | 2.9 | 36 |
1,500 | ml-dl | https://github.com/deepmind/chex | ['numpy', 'testing', 'autograd', 'jax'] | Chex is a library of utilities for helping to write reliable JAX code | [] | [] | null | null | null | deepmind/chex | chex | 667 | 40 | 18 | Python | https://chex.readthedocs.io | null | deepmind | 2024-01-13 | 2020-08-06 | 181 | 3.670597 | https://avatars.githubusercontent.com/u/8596759?v=4 | Chex is a library of utilities for helping to write reliable JAX code | [] | ['autograd', 'jax', 'numpy', 'testing'] | 2023-12-09 | [('google/flax', 0.5962191820144653, 'ml-dl', 1), ('deepmind/dm-haiku', 0.5875384211540222, 'ml-dl', 1), ('deepmind/synjax', 0.5291113257408142, 'math', 1), ('samuelcolvin/rtoml', 0.5042668581008911, 'data', 0)] | 40 | 4 | null | 1.33 | 18 | 11 | 42 | 1 | 7 | 6 | 7 | 18 | 8 | 90 | 0.4 | 36 |
1,497 | util | https://github.com/instagram/fixit | ['linter'] | null | [] | [] | null | null | null | instagram/fixit | Fixit | 633 | 57 | 26 | Python | https://fixit.rtfd.io/en/latest/ | Advanced Python linting framework with auto-fixes and hierarchical configuration that makes it easy to write custom in-repo lint rules. | instagram | 2024-01-14 | 2020-02-20 | 205 | 3.077083 | https://avatars.githubusercontent.com/u/549085?v=4 | Advanced Python linting framework with auto-fixes and hierarchical configuration that makes it easy to write custom in-repo lint rules. | [] | ['linter'] | 2023-12-21 | [('python-rope/rope', 0.5731984972953796, 'util', 0), ('pycqa/pyflakes', 0.5664411783218384, 'util', 1), ('python/mypy', 0.5660220384597778, 'typing', 1), ('grahamdumpleton/wrapt', 0.5495676398277283, 'util', 0), ('klen/pylama', 0.5459169745445251, 'util', 1), ('landscapeio/prospector', 0.5204662084579468, 'util', 0), ... | 41 | 4 | null | 2.12 | 37 | 22 | 47 | 1 | 0 | 3 | 3 | 37 | 28 | 90 | 0.8 | 36 |
1,144 | util | https://github.com/terrycain/aioboto3 | [] | null | [] | [] | null | null | null | terrycain/aioboto3 | aioboto3 | 608 | 63 | 8 | Python | null | Wrapper to use boto3 resources with the aiobotocore async backend | terrycain | 2024-01-12 | 2017-09-25 | 331 | 1.836066 | null | Wrapper to use boto3 resources with the aiobotocore async backend | ['async', 'aws', 'boto3'] | ['async', 'aws', 'boto3'] | 2023-12-08 | [('aio-libs/aiobotocore', 0.6956399083137512, 'util', 1), ('geeogi/async-python-lambda-template', 0.5498723387718201, 'template', 0), ('samuelcolvin/aioaws', 0.5090085864067078, 'data', 1)] | 27 | 4 | null | 0.37 | 14 | 10 | 77 | 1 | 0 | 10 | 10 | 14 | 29 | 90 | 2.1 | 36 |
358 | ml-ops | https://github.com/google/ml-metadata | [] | null | [] | [] | null | null | null | google/ml-metadata | ml-metadata | 577 | 134 | 29 | C++ | https://www.tensorflow.org/tfx/guide/mlmd | For recording and retrieving metadata associated with ML developer and data scientist workflows. | google | 2024-01-10 | 2019-01-15 | 263 | 2.193916 | https://avatars.githubusercontent.com/u/1342004?v=4 | For recording and retrieving metadata associated with ML developer and data scientist workflows. | [] | [] | 2024-01-12 | [('astronomer/astro-sdk', 0.5482959747314453, 'ml-ops', 0), ('whylabs/whylogs', 0.5445284247398376, 'util', 0), ('ploomber/ploomber', 0.5324745774269104, 'ml-ops', 0), ('airbnb/knowledge-repo', 0.5292649865150452, 'data', 0), ('hyperqueryhq/whale', 0.5290652513504028, 'data', 0), ('dagworks-inc/hamilton', 0.52708196640... | 19 | 2 | null | 1.1 | 12 | 1 | 61 | 0 | 3 | 7 | 3 | 12 | 53 | 90 | 4.4 | 36 |
1,569 | ml | https://github.com/nicolas-hbt/pygraft | ['knowledge-graph', 'ontology-generation'] | null | [] | [] | 1 | null | null | nicolas-hbt/pygraft | pygraft | 551 | 36 | 12 | Python | https://pygraft.readthedocs.io/en/latest/ | Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips | nicolas-hbt | 2024-01-12 | 2023-09-07 | 20 | 26.6 | null | Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips | ['artificial-intelligence', 'benchmarking', 'contributions-welcome', 'data-generator', 'graph-generator', 'knowledge-base', 'knowledge-graph', 'linked-data', 'machine-learning', 'ontology', 'ontology-generation', 'owl', 'rdf', 'rdfs', 'schema', 'semantic-web', 'semantics', 'synthetic-data', 'synthetic-dataset-generatio... | ['artificial-intelligence', 'benchmarking', 'contributions-welcome', 'data-generator', 'graph-generator', 'knowledge-base', 'knowledge-graph', 'linked-data', 'machine-learning', 'ontology', 'ontology-generation', 'owl', 'rdf', 'rdfs', 'schema', 'semantic-web', 'semantics', 'synthetic-data', 'synthetic-dataset-generatio... | 2023-12-01 | [('sdv-dev/sdv', 0.6006342172622681, 'data', 2), ('mindsdb/mindsdb', 0.5319455862045288, 'data', 2), ('dylanhogg/llmgraph', 0.5217655897140503, 'ml', 1), ('ydataai/ydata-synthetic', 0.5071893334388733, 'data', 2), ('strawberry-graphql/strawberry', 0.5039038062095642, 'web', 0)] | 1 | 1 | null | 0.75 | 1 | 0 | 4 | 1 | 0 | 0 | 0 | 1 | 1 | 90 | 1 | 36 |
1,247 | util | https://github.com/steamship-core/steamship-langchain | [] | null | [] | [] | null | null | null | steamship-core/steamship-langchain | steamship-langchain | 499 | 98 | 12 | Python | null | steamship-langchain | steamship-core | 2024-01-12 | 2023-02-04 | 51 | 9.702778 | https://avatars.githubusercontent.com/u/99272373?v=4 | steamship-langchain | [] | [] | 2023-09-12 | [('steamship-core/python-client', 0.5675639510154724, 'util', 0)] | 7 | 2 | null | 2.23 | 1 | 0 | 11 | 4 | 17 | 42 | 17 | 1 | 1 | 90 | 1 | 36 |
1,706 | util | https://github.com/snok/install-poetry | ['github', 'action'] | null | [] | [] | null | null | null | snok/install-poetry | install-poetry | 491 | 46 | 6 | Shell | null | Github action for installing and configuring Poetry | snok | 2024-01-05 | 2020-10-25 | 170 | 2.883389 | https://avatars.githubusercontent.com/u/64945977?v=4 | Github action for installing and configuring Poetry | [] | ['action', 'github'] | 2024-01-11 | [('python-poetry/install.python-poetry.org', 0.6302388310432434, 'util', 0)] | 22 | 5 | null | 0.44 | 15 | 11 | 39 | 0 | 1 | 8 | 1 | 15 | 27 | 90 | 1.8 | 36 |
1,612 | llm | https://github.com/lupantech/scienceqa | ['thought-chain'] | null | [] | [] | null | null | null | lupantech/scienceqa | ScienceQA | 487 | 62 | 9 | Python | null | Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering". | lupantech | 2024-01-13 | 2022-10-17 | 67 | 7.253191 | null | Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering". | [] | ['thought-chain'] | 2023-12-30 | [('kyegomez/tree-of-thoughts', 0.5537173748016357, 'llm', 0), ('noahshinn/reflexion', 0.5062936544418335, 'llm', 0)] | 4 | 2 | null | 0.67 | 5 | 5 | 15 | 0 | 0 | 1 | 1 | 5 | 10 | 90 | 2 | 36 |
490 | gis | https://github.com/cogeotiff/rio-tiler | [] | null | [] | [] | null | null | null | cogeotiff/rio-tiler | rio-tiler | 453 | 96 | 65 | Python | https://cogeotiff.github.io/rio-tiler/ | User friendly Rasterio plugin to read raster datasets. | cogeotiff | 2024-01-11 | 2017-10-06 | 329 | 1.374512 | https://avatars.githubusercontent.com/u/40065466?v=4 | User friendly Rasterio plugin to read raster datasets. | ['cog', 'cogeotiff', 'gdal', 'maptile', 'mercator', 'raster', 'raster-processing', 'rasterio', 'satellite', 'slippy-map', 'tile'] | ['cog', 'cogeotiff', 'gdal', 'maptile', 'mercator', 'raster', 'raster-processing', 'rasterio', 'satellite', 'slippy-map', 'tile'] | 2024-01-12 | [('rasterio/rasterio', 0.7036706209182739, 'gis', 2), ('cogeotiff/rio-cogeo', 0.6072856783866882, 'gis', 4), ('osgeo/gdal', 0.5156446099281311, 'gis', 1), ('corteva/rioxarray', 0.5002418756484985, 'gis', 3)] | 26 | 4 | null | 1.38 | 20 | 15 | 76 | 0 | 0 | 24 | 24 | 20 | 29 | 90 | 1.4 | 36 |
855 | ml-ops | https://github.com/astronomer/astronomer | [] | null | [] | [] | null | null | null | astronomer/astronomer | astronomer | 453 | 83 | 45 | Python | https://www.astronomer.io | Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes | astronomer | 2024-01-11 | 2018-01-15 | 315 | 1.437443 | https://avatars.githubusercontent.com/u/12449437?v=4 | Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes | ['apache-airflow', 'astronomer-platform', 'docker', 'kubernetes'] | ['apache-airflow', 'astronomer-platform', 'docker', 'kubernetes'] | 2024-01-09 | [('astronomer/airflow-chart', 0.8572540283203125, 'ml-ops', 2), ('anyscale/airflow-provider-ray', 0.5748955011367798, 'ml-ops', 0), ('apache/airflow', 0.5602481961250305, 'ml-ops', 1), ('gefyrahq/gefyra', 0.5323020815849304, 'util', 2)] | 75 | 4 | null | 5.15 | 56 | 53 | 73 | 0 | 15 | 60 | 15 | 56 | 17 | 90 | 0.3 | 36 |
1,457 | util | https://github.com/conda/constructor | ['conda'] | null | [] | [] | null | null | null | conda/constructor | constructor | 430 | 166 | 33 | Python | https://conda.github.io/constructor/ | tool for creating installers from conda packages | conda | 2024-01-04 | 2016-02-12 | 415 | 1.03472 | https://avatars.githubusercontent.com/u/6392739?v=4 | tool for creating installers from conda packages | [] | ['conda'] | 2024-01-13 | [('conda/conda-build', 0.8005626201629639, 'util', 1), ('conda/conda-pack', 0.7213409543037415, 'util', 1), ('mamba-org/boa', 0.7149392366409302, 'util', 1), ('mamba-org/quetz', 0.7079612612724304, 'util', 1), ('mamba-org/gator', 0.5621293783187866, 'jupyter', 1), ('mamba-org/mamba', 0.5558754801750183, 'util', 1), ('p... | 70 | 6 | null | 1.56 | 57 | 47 | 96 | 0 | 8 | 6 | 8 | 57 | 33 | 90 | 0.6 | 36 |
713 | gis | https://github.com/weecology/deepforest | [] | null | [] | [] | null | null | null | weecology/deepforest | DeepForest | 411 | 157 | 15 | Python | https://deepforest.readthedocs.io/ | Python Package for Airborne RGB machine learning | weecology | 2024-01-10 | 2018-03-07 | 307 | 1.335035 | https://avatars.githubusercontent.com/u/1156696?v=4 | Python Package for Airborne RGB machine learning | [] | [] | 2023-12-27 | [('sentinel-hub/eo-learn', 0.5667561888694763, 'gis', 0), ('mdbloice/augmentor', 0.5662134885787964, 'ml', 0), ('lightly-ai/lightly', 0.5572022199630737, 'ml', 0), ('pycaret/pycaret', 0.5376171469688416, 'ml', 0), ('earthlab/earthpy', 0.5284902453422546, 'gis', 0), ('radiantearth/radiant-mlhub', 0.5279979705810547, 'gi... | 14 | 6 | null | 2.17 | 115 | 86 | 71 | 1 | 0 | 12 | 12 | 115 | 104 | 90 | 0.9 | 36 |
1,526 | llm | https://github.com/operand/agency | [] | null | [] | [] | null | null | null | operand/agency | agency | 351 | 18 | 10 | Python | https://createwith.agency | A fast and minimal framework for building agent-integrated systems | operand | 2024-01-12 | 2023-05-23 | 36 | 9.75 | null | A fast and minimal framework for building agent-integrated systems | ['actor', 'actor-model', 'agent', 'agents', 'agi', 'ai', 'api', 'artificial-general-intelligence', 'artificial-intelligence', 'autonomous-agent', 'autonomous-agents', 'framework', 'llm', 'llmops', 'llms', 'machine-learning', 'minimal'] | ['actor', 'actor-model', 'agent', 'agents', 'agi', 'ai', 'api', 'artificial-general-intelligence', 'artificial-intelligence', 'autonomous-agent', 'autonomous-agents', 'framework', 'llm', 'llmops', 'llms', 'machine-learning', 'minimal'] | 2024-01-12 | [('prefecthq/marvin', 0.6231884956359863, 'nlp', 3), ('transformeroptimus/superagi', 0.6139060258865356, 'llm', 8), ('microsoft/lmops', 0.6131894588470459, 'llm', 2), ('geekan/metagpt', 0.6091906428337097, 'llm', 2), ('mlc-ai/mlc-llm', 0.6070036888122559, 'llm', 1), ('unity-technologies/ml-agents', 0.596383810043335, '... | 3 | 1 | null | 5.54 | 11 | 9 | 8 | 0 | 15 | 23 | 15 | 11 | 0 | 90 | 0 | 36 |
857 | ml-ops | https://github.com/astronomer/astro-sdk | [] | null | [] | [] | null | null | null | astronomer/astro-sdk | astro-sdk | 299 | 35 | 13 | Python | https://astro-sdk-python.rtfd.io/ | Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. | astronomer | 2024-01-12 | 2021-12-06 | 112 | 2.666242 | https://avatars.githubusercontent.com/u/12449437?v=4 | Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. | ['airflow', 'apache-airflow', 'bigquery', 'dags', 'data-analysis', 'data-science', 'elt', 'etl', 'gcs', 'pandas', 'postgres', 's3', 'snowflake', 'sql', 'sqlite', 'workflows'] | ['airflow', 'apache-airflow', 'bigquery', 'dags', 'data-analysis', 'data-science', 'elt', 'etl', 'gcs', 'pandas', 'postgres', 's3', 'snowflake', 'sql', 'sqlite', 'workflows'] | 2024-01-09 | [('mage-ai/mage-ai', 0.6467173099517822, 'ml-ops', 4), ('apache/airflow', 0.6314418911933899, 'ml-ops', 5), ('kestra-io/kestra', 0.6130484342575073, 'ml-ops', 2), ('flyteorg/flyte', 0.5711103081703186, 'ml-ops', 2), ('hi-primus/optimus', 0.5675498843193054, 'ml-ops', 2), ('ploomber/ploomber', 0.5675156116485596, 'ml-op... | 39 | 2 | null | 3.85 | 66 | 57 | 26 | 0 | 14 | 40 | 14 | 66 | 29 | 90 | 0.4 | 36 |
1,520 | ml-ops | https://github.com/lithops-cloud/lithops | [] | null | [] | [] | null | null | null | lithops-cloud/lithops | lithops | 293 | 92 | 13 | Python | http://lithops.cloud | A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀 | lithops-cloud | 2024-01-12 | 2018-04-23 | 301 | 0.97296 | https://avatars.githubusercontent.com/u/71205470?v=4 | A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀 | ['big-data', 'big-data-analytics', 'cloud-computing', 'data-processing', 'distributed', 'kubernetes', 'multicloud', 'multiprocessing', 'object-storage', 'parallel', 'serverless', 'serverless-computing', 'serverless-functions'] | ['big-data', 'big-data-analytics', 'cloud-computing', 'data-processing', 'distributed', 'kubernetes', 'multicloud', 'multiprocessing', 'object-storage', 'parallel', 'serverless', 'serverless-computing', 'serverless-functions'] | 2024-01-12 | [('skypilot-org/skypilot', 0.6185680031776428, 'llm', 2), ('apache/spark', 0.5891563296318054, 'data', 1), ('flyteorg/flyte', 0.5794029235839844, 'ml-ops', 1), ('backtick-se/cowait', 0.5676038861274719, 'util', 1), ('jina-ai/jina', 0.5622606873512268, 'ml', 1), ('eventual-inc/daft', 0.5597764849662781, 'pandas', 0), ('... | 45 | 2 | null | 5.6 | 59 | 58 | 70 | 0 | 5 | 13 | 5 | 59 | 152 | 90 | 2.6 | 36 |
950 | util | https://github.com/cqcl/tket | [] | null | [] | [] | null | null | null | cqcl/tket | tket | 220 | 45 | 17 | C++ | https://tket.quantinuum.com/ | Source code for the TKET quantum compiler, Python bindings and utilities | cqcl | 2024-01-11 | 2021-09-13 | 124 | 1.772152 | https://avatars.githubusercontent.com/u/15688781?v=4 | Source code for the TKET quantum compiler, Python bindings and utilities | ['compiler', 'quantum-computing'] | ['compiler', 'quantum-computing'] | 2024-01-12 | [('pyscf/pyscf', 0.677206814289093, 'sim', 0), ('cqcl/lambeq', 0.6623311638832092, 'nlp', 0), ('quantumlib/cirq', 0.6193458437919617, 'sim', 1), ('jackhidary/quantumcomputingbook', 0.6081982851028442, 'study', 1), ('numba/llvmlite', 0.5800346732139587, 'util', 0), ('qiskit/qiskit', 0.5771373510360718, 'sim', 1)] | 29 | 2 | null | 6.54 | 155 | 134 | 28 | 0 | 50 | 58 | 50 | 155 | 102 | 90 | 0.7 | 36 |
1,867 | util | https://github.com/pypdfium2-team/pypdfium2 | [] | null | [] | [] | null | null | null | pypdfium2-team/pypdfium2 | pypdfium2 | 216 | 12 | 6 | Python | https://pypdfium2.readthedocs.io/ | Python bindings to PDFium | pypdfium2-team | 2024-01-13 | 2021-10-23 | 118 | 1.823884 | https://avatars.githubusercontent.com/u/93039761?v=4 | Python bindings to PDFium | ['pdf', 'pdf-documents', 'pdf-to-image', 'pdfium', 'rasterisation'] | ['pdf', 'pdf-documents', 'pdf-to-image', 'pdfium', 'rasterisation'] | 2024-01-10 | [('py-pdf/pypdf2', 0.6358337998390198, 'util', 2), ('pyfpdf/fpdf2', 0.6115421652793884, 'util', 1), ('camelot-dev/camelot', 0.5336915850639343, 'util', 0), ('jorisschellekens/borb', 0.5246109366416931, 'util', 1)] | 4 | 2 | null | 8.15 | 45 | 44 | 27 | 0 | 37 | 42 | 37 | 45 | 93 | 90 | 2.1 | 36 |
1,768 | data | https://github.com/meltano/sdk | ['data-engineering'] | null | [] | [] | null | null | null | meltano/sdk | sdk | 74 | 53 | 7 | Python | https://sdk.meltano.com | Write 70% less code by using the SDK to build custom extractors and loaders that adhere to the Singer standard: https://sdk.meltano.com | meltano | 2024-01-12 | 2021-06-21 | 136 | 0.543547 | https://avatars.githubusercontent.com/u/43816713?v=4 | Write 70% less code by using the SDK to build custom extractors and loaders that adhere to the Singer standard: https://sdk.meltano.com | ['sdk'] | ['data-engineering', 'sdk'] | 2024-01-11 | [] | 70 | 3 | null | 10.56 | 159 | 134 | 31 | 0 | 28 | 31 | 28 | 157 | 284 | 90 | 1.8 | 36 |
931 | data | https://github.com/scylladb/python-driver | [] | null | [] | [] | null | null | null | scylladb/python-driver | python-driver | 57 | 35 | 9 | Python | https://python-driver.docs.scylladb.com | ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra | scylladb | 2024-01-11 | 2018-11-20 | 271 | 0.210332 | https://avatars.githubusercontent.com/u/14364730?v=4 | ScyllaDB Python Driver, originally DataStax Python Driver for Apache Cassandra | ['scylladb'] | ['scylladb'] | 2024-01-11 | [('datastax/python-driver', 0.8284926414489746, 'data', 0), ('neo4j/neo4j-python-driver', 0.5569538474082947, 'data', 0)] | 211 | 6 | null | 2.17 | 41 | 16 | 63 | 0 | 0 | 23 | 23 | 41 | 105 | 90 | 2.6 | 36 |
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