Unnamed: 0 int64 | category string | githuburl string | customtopics string | customabout string | customarxiv string | custompypi string | featured float64 | links string | description string | _repopath string | _reponame string | _stars int64 | _forks int64 | _watches int64 | _language string | _homepage string | _github_description string | _organization string | _updated_at string | _created_at string | _age_weeks int64 | _stars_per_week float64 | _avatar_url string | _description string | _github_topics string | _topics string | _last_commit_date string | sim string | _pop_contributor_count int64 | _pop_contributor_orgs_len float64 | _pop_contributor_orgs_error float64 | _pop_commit_frequency float64 | _pop_updated_issues_count int64 | _pop_closed_issues_count int64 | _pop_created_since_days int64 | _pop_updated_since_days int64 | _pop_recent_releases_count int64 | _pop_recent_releases_estimated_tags int64 | _pop_recent_releases_adjusted_count int64 | _pop_issue_count float64 | _pop_comment_count float64 | _pop_comment_count_lookback_days float64 | _pop_comment_frequency float64 | _pop_score int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,394 | math | https://github.com/geomstats/geomstats | [] | null | [] | [] | null | null | null | geomstats/geomstats | geomstats | 1,108 | 231 | 36 | Jupyter Notebook | http://geomstats.ai | Computations and statistics on manifolds with geometric structures. | geomstats | 2024-01-13 | 2017-10-25 | 326 | 3.38986 | https://avatars.githubusercontent.com/u/39272386?v=4 | Computations and statistics on manifolds with geometric structures. | ['deep-learning', 'geodesic', 'geometry', 'gpu-programming', 'lie-groups', 'machine-learning', 'manifold', 'neural-networks', 'riemannian-geometry', 'statistics'] | ['deep-learning', 'geodesic', 'geometry', 'gpu-programming', 'lie-groups', 'machine-learning', 'manifold', 'neural-networks', 'riemannian-geometry', 'statistics'] | 2024-01-12 | [('lmcinnes/umap', 0.5977250933647156, 'ml', 1), ('xl0/lovely-tensors', 0.5296072959899902, 'ml-dl', 2), ('kornia/kornia', 0.5275140404701233, 'ml-dl', 2), ('isl-org/open3d', 0.5070082545280457, 'sim', 1)] | 87 | 4 | null | 25.23 | 83 | 39 | 76 | 0 | 2 | 5 | 2 | 83 | 76 | 90 | 0.9 | 43 |
1,531 | util | https://github.com/oracle/graalpython | ['java', 'jvm'] | null | [] | [] | null | null | null | oracle/graalpython | graalpython | 1,059 | 98 | 57 | Python | null | A Python 3 implementation built on GraalVM | oracle | 2024-01-13 | 2018-04-17 | 302 | 3.506623 | https://avatars.githubusercontent.com/u/4430336?v=4 | A Python 3 implementation built on GraalVM | [] | ['java', 'jvm'] | 2024-01-12 | [('pyston/pyston', 0.591853141784668, 'util', 0), ('exaloop/codon', 0.5912636518478394, 'perf', 0), ('numba/llvmlite', 0.586859405040741, 'util', 0), ('py4j/py4j', 0.5628305077552795, 'util', 1), ('ethereum/py-evm', 0.54329913854599, 'crypto', 0), ('pypy/pypy', 0.5413466095924377, 'util', 0), ('paramiko/paramiko', 0.52... | 64 | 2 | null | 57.15 | 19 | 13 | 70 | 0 | 4 | 18 | 4 | 19 | 27 | 90 | 1.4 | 43 |
879 | sim | https://github.com/pyscf/pyscf | [] | null | [] | [] | null | null | null | pyscf/pyscf | pyscf | 1,051 | 569 | 78 | Python | null | Python module for quantum chemistry | pyscf | 2024-01-13 | 2014-05-02 | 508 | 2.066573 | https://avatars.githubusercontent.com/u/38367334?v=4 | Python module for quantum chemistry | [] | [] | 2024-01-11 | [('cqcl/tket', 0.677206814289093, 'util', 0), ('cqcl/lambeq', 0.6749314069747925, 'nlp', 0), ('quantumlib/cirq', 0.6541039347648621, 'sim', 0), ('mnooner256/pyqrcode', 0.5908879637718201, 'util', 0), ('pytoolz/toolz', 0.5605663657188416, 'util', 0), ('connorferster/handcalcs', 0.5601664185523987, 'jupyter', 0), ('pypy/... | 152 | 4 | null | 3.52 | 158 | 96 | 118 | 0 | 4 | 7 | 4 | 157 | 347 | 90 | 2.2 | 43 |
1,139 | nlp | https://github.com/nomic-ai/nomic | [] | null | [] | [] | null | null | null | nomic-ai/nomic | nomic | 833 | 121 | 24 | Python | https://atlas.nomic.ai | Interact, analyze and structure massive text, image, embedding, audio and video datasets | nomic-ai | 2024-01-13 | 2022-07-21 | 79 | 10.449821 | https://avatars.githubusercontent.com/u/102670180?v=4 | Interact, analyze and structure massive text, image, embedding, audio and video datasets | ['database', 'neural'] | ['database', 'neural'] | 2024-01-11 | [('milvus-io/bootcamp', 0.6042595505714417, 'data', 0), ('chroma-core/chroma', 0.5949238538742065, 'data', 0), ('koaning/embetter', 0.5922350287437439, 'data', 0), ('docarray/docarray', 0.5800225734710693, 'data', 0), ('jina-ai/vectordb', 0.5595861077308655, 'data', 0), ('jina-ai/clip-as-service', 0.5556612610816956, '... | 13 | 3 | null | 7.21 | 34 | 22 | 18 | 0 | 3 | 2 | 3 | 34 | 16 | 90 | 0.5 | 43 |
1,346 | util | https://github.com/milvus-io/pymilvus | [] | null | [] | [] | null | null | null | milvus-io/pymilvus | pymilvus | 785 | 329 | 16 | Python | null | Python SDK for Milvus. | milvus-io | 2024-01-11 | 2019-06-13 | 241 | 3.247636 | https://avatars.githubusercontent.com/u/51735404?v=4 | Python SDK for Milvus. | ['anns', 'database', 'milvus', 'sdk', 'vector'] | ['anns', 'database', 'milvus', 'sdk', 'vector'] | 2024-01-11 | [('kubeflow/fairing', 0.5737506151199341, 'ml-ops', 0)] | 95 | 2 | null | 4.33 | 149 | 110 | 56 | 0 | 22 | 12 | 22 | 149 | 245 | 90 | 1.6 | 43 |
1,853 | sim | https://github.com/google-deepmind/materials_discovery | ['materials-science'] | Graph Networks for Materials Science (GNoME) is a project centered around scaling machine learning methods to tackle materials science. | [] | [] | null | null | null | google-deepmind/materials_discovery | materials_discovery | 689 | 148 | 35 | Python | null | null | google-deepmind | 2024-01-12 | 2023-11-28 | 9 | 76.555556 | https://avatars.githubusercontent.com/u/8596759?v=4 | Graph Networks for Materials Science (GNoME) is a project centered around scaling machine learning methods to tackle materials science. | [] | ['materials-science'] | 2023-12-02 | [('stellargraph/stellargraph', 0.6555060148239136, 'graph', 0), ('benedekrozemberczki/tigerlily', 0.5921242237091064, 'ml-dl', 0), ('chandlerbang/awesome-self-supervised-gnn', 0.5740145444869995, 'study', 0), ('pyg-team/pytorch_geometric', 0.5600719451904297, 'ml-dl', 0), ('whitead/dmol-book', 0.5389830470085144, 'ml-d... | 2 | 0 | null | 0.15 | 14 | 4 | 2 | 1 | 0 | 0 | 0 | 14 | 15 | 90 | 1.1 | 43 |
1,322 | nlp | https://github.com/keras-team/keras-nlp | ['keras', 'natural-language-processing'] | null | [] | [] | null | null | null | keras-team/keras-nlp | keras-nlp | 622 | 180 | 28 | Python | null | Modular Natural Language Processing workflows with Keras | keras-team | 2024-01-13 | 2020-05-28 | 191 | 3.244411 | https://avatars.githubusercontent.com/u/34455048?v=4 | Modular Natural Language Processing workflows with Keras | ['deep-learning', 'keras', 'machine-learning', 'nlp', 'tensorflow'] | ['deep-learning', 'keras', 'machine-learning', 'natural-language-processing', 'nlp', 'tensorflow'] | 2024-01-14 | [('graykode/nlp-tutorial', 0.6779394149780273, 'study', 3), ('explosion/spacy', 0.6470063924789429, 'nlp', 4), ('huggingface/transformers', 0.6460193395614624, 'nlp', 5), ('nltk/nltk', 0.6287647485733032, 'nlp', 3), ('nvidia/deeplearningexamples', 0.6211730241775513, 'ml-dl', 3), ('flairnlp/flair', 0.6184731125831604, ... | 61 | 3 | null | 6.85 | 221 | 177 | 44 | 0 | 15 | 11 | 15 | 221 | 257 | 90 | 1.2 | 43 |
110 | data | https://github.com/binux/pyspider | [] | null | [] | [] | null | null | null | binux/pyspider | pyspider | 16,155 | 3,730 | 903 | Python | http://docs.pyspider.org/ | A Powerful Spider(Web Crawler) System in Python. | binux | 2024-01-13 | 2014-02-21 | 518 | 31.152893 | null | A Powerful Spider(Web Crawler) System in Python. | ['crawler'] | ['crawler'] | 2020-08-02 | [('s0md3v/photon', 0.7611035108566284, 'data', 1), ('scrapy/scrapy', 0.7435339093208313, 'data', 1), ('alirezamika/autoscraper', 0.6465148329734802, 'data', 1), ('nv7-github/googlesearch', 0.6098272204399109, 'util', 0), ('roniemartinez/dude', 0.5958371758460999, 'util', 1), ('clips/pattern', 0.5396731495857239, 'nlp',... | 62 | 1 | null | 0 | 2 | 0 | 120 | 42 | 0 | 1 | 1 | 2 | 2 | 90 | 1 | 42 |
68 | web | https://github.com/pyeve/eve | [] | null | [] | [] | null | null | null | pyeve/eve | eve | 6,650 | 754 | 226 | Python | https://python-eve.org | REST API framework designed for human beings | pyeve | 2024-01-13 | 2012-10-22 | 588 | 11.306777 | https://avatars.githubusercontent.com/u/26229868?v=4 | REST API framework designed for human beings | ['flask', 'mongodb', 'rest'] | ['flask', 'mongodb', 'rest'] | 2023-07-10 | [('python-restx/flask-restx', 0.7703225612640381, 'web', 2), ('bottlepy/bottle', 0.594473659992218, 'web', 1), ('simple-salesforce/simple-salesforce', 0.5759877562522888, 'data', 0), ('falconry/falcon', 0.5698334574699402, 'web', 1), ('vitalik/django-ninja', 0.563342809677124, 'web', 0), ('pallets/flask', 0.55004316568... | 214 | 4 | null | 0.35 | 5 | 1 | 137 | 6 | 0 | 4 | 4 | 5 | 1 | 90 | 0.2 | 42 |
919 | util | https://github.com/openai/point-e | [] | null | [] | [] | null | null | null | openai/point-e | point-e | 6,106 | 726 | 216 | Python | null | Point cloud diffusion for 3D model synthesis | openai | 2024-01-13 | 2022-12-06 | 60 | 101.766667 | https://avatars.githubusercontent.com/u/14957082?v=4 | Point cloud diffusion for 3D model synthesis | [] | [] | 2022-12-20 | [('stability-ai/stablediffusion', 0.5376940965652466, 'diffusion', 0), ('compvis/latent-diffusion', 0.5376940369606018, 'diffusion', 0), ('tanelp/tiny-diffusion', 0.5226495265960693, 'diffusion', 0), ('ashawkey/stable-dreamfusion', 0.5210638642311096, 'diffusion', 0), ('nicolas-chaulet/torch-points3d', 0.51895397901535... | 2 | 0 | null | 0 | 6 | 2 | 13 | 13 | 0 | 0 | 0 | 6 | 2 | 90 | 0.3 | 42 |
575 | ml | https://github.com/probml/pyprobml | [] | null | [] | [] | null | null | null | probml/pyprobml | pyprobml | 6,092 | 1,455 | 187 | Jupyter Notebook | null | Python code for "Probabilistic Machine learning" book by Kevin Murphy | probml | 2024-01-13 | 2016-08-17 | 388 | 15.666422 | https://avatars.githubusercontent.com/u/6309387?v=4 | Python code for "Probabilistic Machine learning" book by Kevin Murphy | ['blackjax', 'colab', 'flax', 'jax', 'jupyter-notebooks', 'machine-learning', 'numpyro', 'pml', 'probabilistic-programming', 'pymc3', 'pyro', 'pytorch', 'tensorflow'] | ['blackjax', 'colab', 'flax', 'jax', 'jupyter-notebooks', 'machine-learning', 'numpyro', 'pml', 'probabilistic-programming', 'pymc3', 'pyro', 'pytorch', 'tensorflow'] | 2023-12-19 | [('pymc-devs/pymc3', 0.6565049886703491, 'ml', 1), ('gerdm/prml', 0.6533145308494568, 'study', 1), ('pyro-ppl/pyro', 0.6461431980133057, 'ml-dl', 3), ('fchollet/deep-learning-with-python-notebooks', 0.6373811364173889, 'study', 0), ('mynameisfiber/high_performance_python_2e', 0.6130873560905457, 'study', 0), ('ageron/h... | 66 | 8 | null | 0.38 | 0 | 0 | 90 | 1 | 0 | 0 | 0 | 0 | 0 | 90 | 0 | 42 |
1,685 | util | https://github.com/hhatto/autopep8 | [] | null | [] | [] | null | null | null | hhatto/autopep8 | autopep8 | 4,468 | 296 | 73 | Python | https://pypi.org/project/autopep8/ | A tool that automatically formats Python code to conform to the PEP 8 style guide. | hhatto | 2024-01-13 | 2010-12-29 | 682 | 6.543096 | null | A tool that automatically formats Python code to conform to the PEP 8 style guide. | ['codeformatter', 'formatter', 'pep8'] | ['codeformatter', 'formatter', 'pep8'] | 2023-10-27 | [('grantjenks/blue', 0.7624608278274536, 'util', 2), ('psf/black', 0.7485063672065735, 'util', 2), ('danielnoord/pydocstringformatter', 0.7380919456481934, 'util', 2), ('google/yapf', 0.7038267850875854, 'util', 1), ('pycqa/flake8', 0.6079347729682922, 'util', 1), ('pygments/pygments', 0.600104570388794, 'util', 0), ('... | 60 | 5 | null | 0.4 | 14 | 5 | 159 | 3 | 3 | 6 | 3 | 14 | 17 | 90 | 1.2 | 42 |
206 | ml | https://github.com/lucidrains/deep-daze | [] | null | [] | [] | null | null | null | lucidrains/deep-daze | deep-daze | 4,378 | 334 | 75 | Python | null | Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun | lucidrains | 2024-01-12 | 2021-01-17 | 158 | 27.658845 | null | Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun | ['artificial-intelligence', 'deep-learning', 'implicit-neural-representation', 'multi-modality', 'siren', 'text-to-image', 'transformers'] | ['artificial-intelligence', 'deep-learning', 'implicit-neural-representation', 'multi-modality', 'siren', 'text-to-image', 'transformers'] | 2022-03-13 | [('saharmor/dalle-playground', 0.6547111868858337, 'diffusion', 3), ('lucidrains/dalle2-pytorch', 0.631841242313385, 'diffusion', 3), ('fourthbrain/fastapi-for-machine-learning-live-demo', 0.625627875328064, 'web', 1), ('lucidrains/imagen-pytorch', 0.588476300239563, 'ml-dl', 3), ('thudm/cogvideo', 0.5634084939956665, ... | 14 | 5 | null | 0 | 0 | 0 | 36 | 22 | 0 | 23 | 23 | 0 | 0 | 90 | 0 | 42 |
1,747 | util | https://github.com/pyinvoke/invoke | ['execution'] | null | [] | [] | null | null | null | pyinvoke/invoke | invoke | 4,163 | 384 | 93 | Python | http://pyinvoke.org | Pythonic task management & command execution. | pyinvoke | 2024-01-13 | 2012-02-29 | 621 | 6.694464 | https://avatars.githubusercontent.com/u/1486921?v=4 | Pythonic task management & command execution. | [] | ['execution'] | 2023-12-01 | [('agronholm/apscheduler', 0.6340285539627075, 'util', 0), ('dbader/schedule', 0.514901876449585, 'util', 0)] | 60 | 3 | null | 1.42 | 20 | 2 | 145 | 1 | 0 | 6 | 6 | 20 | 19 | 90 | 0.9 | 42 |
1,352 | util | https://github.com/jorisschellekens/borb | [] | null | [] | [] | null | null | null | jorisschellekens/borb | borb | 3,219 | 143 | 33 | Python | https://borbpdf.com/ | borb is a library for reading, creating and manipulating PDF files in python. | jorisschellekens | 2024-01-13 | 2020-11-07 | 168 | 19.111959 | null | borb is a library for reading, creating and manipulating PDF files in python. | ['pdf', 'pdf-conversion', 'pdf-converter', 'pdf-generation', 'pdf-library', 'sdk', 'typesetting'] | ['pdf', 'pdf-conversion', 'pdf-converter', 'pdf-generation', 'pdf-library', 'sdk', 'typesetting'] | 2023-12-17 | [('py-pdf/pypdf2', 0.6551130414009094, 'util', 1), ('pyfpdf/fpdf2', 0.6073178052902222, 'util', 3), ('camelot-dev/camelot', 0.5273860692977905, 'util', 0), ('geospatialpython/pyshp', 0.5256045460700989, 'gis', 0), ('pypdfium2-team/pypdfium2', 0.5246109366416931, 'util', 1), ('bhaskatripathi/pdfgpt', 0.5003618597984314,... | 1 | 0 | null | 0.17 | 13 | 9 | 39 | 1 | 10 | 21 | 10 | 13 | 25 | 90 | 1.9 | 42 |
260 | time-series | https://github.com/salesforce/merlion | [] | null | [] | [] | null | null | null | salesforce/merlion | Merlion | 3,181 | 280 | 52 | Python | null | Merlion: A Machine Learning Framework for Time Series Intelligence | salesforce | 2024-01-13 | 2021-07-28 | 130 | 24.308952 | https://avatars.githubusercontent.com/u/453694?v=4 | Merlion: A Machine Learning Framework for Time Series Intelligence | ['anomaly-detection', 'automl', 'benchmarking', 'ensemble-learning', 'forecasting', 'machine-learning', 'time-series'] | ['anomaly-detection', 'automl', 'benchmarking', 'ensemble-learning', 'forecasting', 'machine-learning', 'time-series'] | 2023-03-22 | [('sktime/sktime', 0.7518776059150696, 'time-series', 3), ('unit8co/darts', 0.7470134496688843, 'time-series', 4), ('winedarksea/autots', 0.682404637336731, 'time-series', 4), ('aistream-peelout/flow-forecast', 0.6415663361549377, 'time-series', 3), ('blue-yonder/tsfresh', 0.6107531189918518, 'time-series', 1), ('alkal... | 14 | 6 | null | 0.06 | 2 | 0 | 30 | 10 | 2 | 7 | 2 | 2 | 1 | 90 | 0.5 | 42 |
368 | nlp | https://github.com/bytedance/lightseq | [] | null | [] | [] | null | null | null | bytedance/lightseq | lightseq | 3,021 | 324 | 60 | C++ | null | LightSeq: A High Performance Library for Sequence Processing and Generation | bytedance | 2024-01-12 | 2019-12-06 | 216 | 13.949208 | https://avatars.githubusercontent.com/u/4158466?v=4 | LightSeq: A High Performance Library for Sequence Processing and Generation | ['accelerate', 'bart', 'beam-search', 'bert', 'cuda', 'diverse-decoding', 'gpt', 'inference', 'multilingual-nmt', 'sampling', 'training', 'transformer'] | ['accelerate', 'bart', 'beam-search', 'bert', 'cuda', 'diverse-decoding', 'gpt', 'inference', 'multilingual-nmt', 'sampling', 'training', 'transformer'] | 2023-05-10 | [('huggingface/text-generation-inference', 0.672805666923523, 'llm', 3), ('ferdinandzhong/punctuator', 0.5860391855239868, 'nlp', 1), ('amazon-science/dq-bart', 0.564974844455719, 'nlp', 0), ('salesforce/xgen', 0.5642438530921936, 'llm', 0), ('infinitylogesh/mutate', 0.562773585319519, 'nlp', 0), ('ofa-sys/ofa', 0.5597... | 17 | 7 | null | 0.46 | 7 | 0 | 50 | 8 | 0 | 3 | 3 | 7 | 5 | 90 | 0.7 | 42 |
1,493 | llm | https://github.com/mshumer/gpt-llm-trainer | [] | Input a description of your task, and the system will generate a dataset, parse it, and fine-tune a LLaMA 2 model for you | [] | [] | null | null | null | mshumer/gpt-llm-trainer | gpt-llm-trainer | 2,739 | 347 | 51 | Jupyter Notebook | null | null | mshumer | 2024-01-14 | 2023-08-09 | 24 | 110.189655 | null | Input a description of your task, and the system will generate a dataset, parse it, and fine-tune a LLaMA 2 model for you | [] | [] | 2023-08-23 | [('microsoft/llama-2-onnx', 0.6853927969932556, 'llm', 0), ('zrrskywalker/llama-adapter', 0.684531569480896, 'llm', 0), ('facebookresearch/llama-recipes', 0.6829999685287476, 'llm', 0), ('tloen/alpaca-lora', 0.663759171962738, 'llm', 0), ('run-llama/llama-lab', 0.6018344759941101, 'llm', 0), ('facebookresearch/llama', ... | 1 | 0 | null | 0.15 | 2 | 0 | 5 | 5 | 0 | 0 | 0 | 2 | 1 | 90 | 0.5 | 42 |
1,130 | ml | https://github.com/scikit-learn-contrib/category_encoders | [] | null | [] | [] | null | null | null | scikit-learn-contrib/category_encoders | category_encoders | 2,322 | 397 | 39 | Python | http://contrib.scikit-learn.org/category_encoders/ | A library of sklearn compatible categorical variable encoders | scikit-learn-contrib | 2024-01-11 | 2015-11-29 | 426 | 5.447051 | https://avatars.githubusercontent.com/u/17349883?v=4 | A library of sklearn compatible categorical variable encoders | [] | [] | 2023-12-13 | [] | 70 | 2 | null | 0.96 | 6 | 4 | 99 | 1 | 4 | 4 | 4 | 6 | 16 | 90 | 2.7 | 42 |
296 | util | https://github.com/pyparsing/pyparsing | [] | null | [] | [] | null | null | null | pyparsing/pyparsing | pyparsing | 2,028 | 268 | 24 | Python | null | Python library for creating PEG parsers | pyparsing | 2024-01-13 | 2017-05-14 | 350 | 5.78956 | https://avatars.githubusercontent.com/u/28690438?v=4 | Python library for creating PEG parsers | ['parser-combinators', 'parsing', 'parsing-expression-grammar', 'parsing-library', 'peg-parsers', 'text-processing'] | ['parser-combinators', 'parsing', 'parsing-expression-grammar', 'parsing-library', 'peg-parsers', 'text-processing'] | 2023-11-20 | [('instagram/libcst', 0.6272467970848083, 'util', 0), ('pytoolz/toolz', 0.6166950464248657, 'util', 0), ('tobymao/sqlglot', 0.6120659708976746, 'data', 0), ('pandas-dev/pandas', 0.5993269681930542, 'pandas', 0), ('google/latexify_py', 0.5657850503921509, 'util', 0), ('sloria/textblob', 0.5576520562171936, 'nlp', 0), ('... | 62 | 4 | null | 1.73 | 24 | 10 | 81 | 2 | 5 | 9 | 5 | 24 | 31 | 90 | 1.3 | 42 |
1,799 | gamedev | https://github.com/pokepetter/ursina | [] | null | [] | [] | null | null | null | pokepetter/ursina | ursina | 2,006 | 318 | 48 | Python | https://pokepetter.github.io/ursina/ | A game engine powered by python and panda3d. | pokepetter | 2024-01-12 | 2017-07-19 | 340 | 5.885163 | null | A game engine powered by python and panda3d. | ['3d-game-engine', 'game-development', 'game-engine'] | ['3d-game-engine', 'game-development', 'game-engine'] | 2024-01-02 | [('panda3d/panda3d', 0.8077520132064819, 'gamedev', 2), ('kitao/pyxel', 0.6735712885856628, 'gamedev', 2), ('lordmauve/pgzero', 0.6621728539466858, 'gamedev', 0), ('renpy/renpy', 0.6157830357551575, 'viz', 0), ('pygame/pygame', 0.5800055861473083, 'gamedev', 1), ('pythonarcade/arcade', 0.5775792598724365, 'gamedev', 0)... | 41 | 3 | null | 8.52 | 58 | 40 | 79 | 0 | 0 | 0 | 0 | 58 | 62 | 90 | 1.1 | 42 |
309 | data | https://github.com/graphistry/pygraphistry | [] | null | [] | [] | null | null | null | graphistry/pygraphistry | pygraphistry | 1,983 | 202 | 49 | Python | null | PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer | graphistry | 2024-01-13 | 2015-06-02 | 452 | 4.387168 | https://avatars.githubusercontent.com/u/6157633?v=4 | PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer | ['csv', 'cudf', 'cugraph', 'gpu', 'graph', 'graph-visualization', 'graphistry', 'igraph', 'jupyter', 'neo4j', 'network-analysis', 'network-visualization', 'networkx', 'pandas', 'rapids', 'splunk', 'tigergraph', 'visualization', 'webgl'] | ['csv', 'cudf', 'cugraph', 'gpu', 'graph', 'graph-visualization', 'graphistry', 'igraph', 'jupyter', 'neo4j', 'network-analysis', 'network-visualization', 'networkx', 'pandas', 'rapids', 'splunk', 'tigergraph', 'visualization', 'webgl'] | 2023-12-27 | [('h4kor/graph-force', 0.6990000605583191, 'graph', 0), ('pygraphviz/pygraphviz', 0.678774356842041, 'viz', 1), ('pyg-team/pytorch_geometric', 0.6707996129989624, 'ml-dl', 0), ('dmlc/dgl', 0.6582305431365967, 'ml-dl', 0), ('westhealth/pyvis', 0.6478259563446045, 'graph', 2), ('networkx/networkx', 0.6410859823226929, 'g... | 40 | 3 | null | 7.06 | 34 | 19 | 105 | 1 | 0 | 21 | 21 | 34 | 25 | 90 | 0.7 | 42 |
975 | pandas | https://github.com/fugue-project/fugue | ['duckdb'] | null | [] | [] | null | null | null | fugue-project/fugue | fugue | 1,810 | 92 | 22 | Python | https://fugue-tutorials.readthedocs.io/ | A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites. | fugue-project | 2024-01-14 | 2020-03-24 | 201 | 9.004975 | https://avatars.githubusercontent.com/u/65140352?v=4 | A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites. | ['dask', 'data-practitioners', 'distributed', 'distributed-computing', 'distributed-systems', 'machine-learning', 'pandas', 'spark', 'sql'] | ['dask', 'data-practitioners', 'distributed', 'distributed-computing', 'distributed-systems', 'duckdb', 'machine-learning', 'pandas', 'spark', 'sql'] | 2024-01-07 | [('eventual-inc/daft', 0.6778815388679504, 'pandas', 2), ('backtick-se/cowait', 0.6694428324699402, 'util', 2), ('apache/spark', 0.6404576897621155, 'data', 2), ('ibis-project/ibis', 0.5997548699378967, 'data', 4), ('dagworks-inc/hamilton', 0.5906447768211365, 'ml-ops', 2), ('airbytehq/airbyte', 0.5778406858444214, 'da... | 22 | 1 | null | 0.98 | 22 | 18 | 46 | 0 | 30 | 34 | 30 | 22 | 19 | 90 | 0.9 | 42 |
1,749 | util | https://github.com/mitmproxy/pdoc | [] | null | [] | [] | null | null | null | mitmproxy/pdoc | pdoc | 1,715 | 233 | 27 | Python | https://pdoc.dev | API Documentation for Python Projects | mitmproxy | 2024-01-13 | 2013-08-04 | 547 | 3.133647 | https://avatars.githubusercontent.com/u/4652787?v=4 | API Documentation for Python Projects | ['api', 'api-documentation', 'docs', 'docstring', 'docstrings', 'documentation', 'documentation-generator', 'documentation-tool', 'pdoc'] | ['api', 'api-documentation', 'docs', 'docstring', 'docstrings', 'documentation', 'documentation-generator', 'documentation-tool', 'pdoc'] | 2024-01-11 | [('pdoc3/pdoc', 0.7915372252464294, 'util', 8), ('sphinx-doc/sphinx', 0.7031545042991638, 'util', 3), ('squidfunk/mkdocs-material', 0.6519834399223328, 'util', 1), ('mkdocstrings/griffe', 0.6451767683029175, 'util', 2), ('vitalik/django-ninja', 0.5793086886405945, 'web', 0), ('landscapeio/prospector', 0.560624659061431... | 48 | 4 | null | 2.46 | 36 | 28 | 127 | 0 | 0 | 8 | 8 | 36 | 48 | 90 | 1.3 | 42 |
715 | util | https://github.com/omry/omegaconf | [] | null | [] | [] | null | null | null | omry/omegaconf | omegaconf | 1,700 | 91 | 18 | Python | null | Flexible Python configuration system. The last one you will ever need. | omry | 2024-01-13 | 2018-09-03 | 282 | 6.025316 | null | Flexible Python configuration system. The last one you will ever need. | ['configuration-files', 'configuration-loader', 'python-types', 'schema-validator', 'yaml', 'yaml-configuration'] | ['configuration-files', 'configuration-loader', 'python-types', 'schema-validator', 'yaml', 'yaml-configuration'] | 2023-11-18 | [('python-odin/odin', 0.5967031121253967, 'util', 1), ('google/gin-config', 0.5957804322242737, 'util', 0), ('pypa/hatch', 0.5926797986030579, 'util', 0), ('mkdocstrings/griffe', 0.5919175744056702, 'util', 0), ('pomponchik/instld', 0.5507912039756775, 'util', 0), ('indygreg/pyoxidizer', 0.5404947400093079, 'util', 0),... | 31 | 6 | null | 0.42 | 21 | 11 | 65 | 2 | 0 | 3 | 3 | 21 | 35 | 90 | 1.7 | 42 |
317 | gamedev | https://github.com/pythonarcade/arcade | [] | null | [] | [] | 1 | null | null | pythonarcade/arcade | arcade | 1,589 | 302 | 58 | Python | http://arcade.academy | Easy to use Python library for creating 2D arcade games. | pythonarcade | 2024-01-12 | 2016-01-04 | 421 | 3.773066 | https://avatars.githubusercontent.com/u/39569439?v=4 | Easy to use Python library for creating 2D arcade games. | ['arcade-api', 'arcade-framework', 'arcade-learning-environment', 'educational-resources', 'educational-technology', 'opengl'] | ['arcade-api', 'arcade-framework', 'arcade-learning-environment', 'educational-resources', 'educational-technology', 'opengl'] | 2024-01-11 | [('pygame/pygame', 0.6259638071060181, 'gamedev', 0), ('lordmauve/pgzero', 0.6107795238494873, 'gamedev', 0), ('pygamelib/pygamelib', 0.5959578156471252, 'gamedev', 0), ('viblo/pymunk', 0.584841787815094, 'sim', 0), ('panda3d/panda3d', 0.5839753746986389, 'gamedev', 1), ('pokepetter/ursina', 0.5775792598724365, 'gamede... | 150 | 5 | null | 6.87 | 53 | 37 | 98 | 0 | 1 | 16 | 1 | 53 | 26 | 90 | 0.5 | 42 |
1,696 | util | https://github.com/mkdocstrings/mkdocstrings | [] | null | [] | [] | null | null | null | mkdocstrings/mkdocstrings | mkdocstrings | 1,467 | 102 | 14 | Python | https://mkdocstrings.github.io/ | :blue_book: Automatic documentation from sources, for MkDocs. | mkdocstrings | 2024-01-13 | 2019-12-09 | 216 | 6.787178 | https://avatars.githubusercontent.com/u/75664361?v=4 | 📘 Automatic documentation from sources, for MkDocs. | ['autodoc', 'docstrings', 'material-theme', 'mkdocs', 'mkdocs-plugin', 'mkdocstrings'] | ['autodoc', 'docstrings', 'material-theme', 'mkdocs', 'mkdocs-plugin', 'mkdocstrings'] | 2024-01-04 | [('mkdocstrings/python', 0.6996007561683655, 'util', 3), ('squidfunk/mkdocs-material', 0.6913550496101379, 'util', 1), ('mkdocs/mkdocs', 0.6345070600509644, 'util', 1), ('pdoc3/pdoc', 0.6134604215621948, 'util', 1), ('sphinx-doc/sphinx', 0.5597922801971436, 'util', 0), ('mitmproxy/pdoc', 0.5541725158691406, 'util', 1),... | 41 | 2 | null | 1.33 | 19 | 16 | 50 | 0 | 3 | 19 | 3 | 19 | 34 | 90 | 1.8 | 42 |
238 | data | https://github.com/simonw/sqlite-utils | [] | null | [] | [] | null | null | null | simonw/sqlite-utils | sqlite-utils | 1,386 | 101 | 21 | Python | https://sqlite-utils.datasette.io | Python CLI utility and library for manipulating SQLite databases | simonw | 2024-01-12 | 2018-07-14 | 289 | 4.788746 | null | Python CLI utility and library for manipulating SQLite databases | ['cli', 'click', 'datasette', 'datasette-io', 'datasette-tool', 'sqlite', 'sqlite-database'] | ['cli', 'click', 'datasette', 'datasette-io', 'datasette-tool', 'sqlite', 'sqlite-database'] | 2023-12-08 | [('sqlalchemy/sqlalchemy', 0.6196154952049255, 'data', 0), ('tiangolo/sqlmodel', 0.5946550965309143, 'data', 0), ('ibis-project/ibis', 0.540537416934967, 'data', 1), ('tconbeer/harlequin', 0.5377789735794067, 'term', 0), ('andialbrecht/sqlparse', 0.5041010975837708, 'data', 0)] | 36 | 5 | null | 1.92 | 19 | 13 | 67 | 1 | 8 | 23 | 8 | 19 | 25 | 90 | 1.3 | 42 |
1,428 | llm | https://github.com/cstankonrad/long_llama | ['llama', 'language-model'] | null | [] | [] | null | null | null | cstankonrad/long_llama | long_llama | 1,381 | 88 | 26 | Python | null | LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method. | cstankonrad | 2024-01-13 | 2023-07-06 | 29 | 46.475962 | null | LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method. | [] | ['language-model', 'llama'] | 2023-11-07 | [('openlmlab/leval', 0.5901378989219666, 'llm', 1), ('freedomintelligence/llmzoo', 0.5405339002609253, 'llm', 1), ('juncongmoo/pyllama', 0.5282744765281677, 'llm', 0), ('lightning-ai/lit-llama', 0.5269233584403992, 'llm', 2), ('next-gpt/next-gpt', 0.5235233306884766, 'llm', 0), ('facebookresearch/codellama', 0.51622664... | 3 | 1 | null | 1.17 | 6 | 4 | 6 | 2 | 0 | 0 | 0 | 6 | 3 | 90 | 0.5 | 42 |
449 | util | https://github.com/imageio/imageio | [] | null | [] | [] | null | null | null | imageio/imageio | imageio | 1,362 | 271 | 32 | Python | https://imageio.readthedocs.io | Python library for reading and writing image data | imageio | 2024-01-13 | 2013-05-04 | 560 | 2.430283 | https://avatars.githubusercontent.com/u/3678179?v=4 | Python library for reading and writing image data | ['animated-gif', 'dicom', 'imageio', 'scientific-formats', 'video', 'webcam-capture'] | ['animated-gif', 'dicom', 'imageio', 'scientific-formats', 'video', 'webcam-capture'] | 2023-12-11 | [('python-pillow/pillow', 0.6861987113952637, 'util', 0), ('zulko/moviepy', 0.6167894601821899, 'util', 1), ('rhettbull/osxphotos', 0.6166835427284241, 'util', 0), ('wesm/pydata-book', 0.6035079956054688, 'study', 0), ('geospatialpython/pyshp', 0.5908835530281067, 'gis', 0), ('pandas-dev/pandas', 0.5883070826530457, 'p... | 109 | 7 | null | 0.98 | 23 | 15 | 130 | 1 | 19 | 8 | 19 | 23 | 48 | 90 | 2.1 | 42 |
953 | util | https://github.com/fabiocaccamo/python-benedict | [] | null | [] | [] | null | null | null | fabiocaccamo/python-benedict | python-benedict | 1,341 | 47 | 12 | Python | null | :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities. | fabiocaccamo | 2024-01-14 | 2019-05-17 | 245 | 5.460733 | null | 📘 dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities. | ['base64', 'csv', 'decode', 'dict', 'dictionary', 'encode', 'filter', 'flatten', 'json', 'keypath', 'pickle', 'plist', 'query-string', 'subset', 'toml', 'traverse', 'xls', 'xml', 'yaml'] | ['base64', 'csv', 'decode', 'dict', 'dictionary', 'encode', 'filter', 'flatten', 'json', 'keypath', 'pickle', 'plist', 'query-string', 'subset', 'toml', 'traverse', 'xls', 'xml', 'yaml'] | 2024-01-08 | [('python-odin/odin', 0.5445603728294373, 'util', 4), ('konradhalas/dacite', 0.5441532731056213, 'util', 0), ('marshmallow-code/marshmallow', 0.5224064588546753, 'util', 0), ('yukinarit/pyserde', 0.5148563981056213, 'util', 3)] | 7 | 2 | null | 3.37 | 32 | 31 | 57 | 0 | 10 | 14 | 10 | 32 | 45 | 90 | 1.4 | 42 |
1,642 | term | https://github.com/tmbo/questionary | ['cli'] | null | [] | [] | null | null | null | tmbo/questionary | questionary | 1,314 | 79 | 21 | Python | null | Python library to build pretty command line user prompts ✨Easy to use multi-select lists, confirmations, free text prompts ... | tmbo | 2024-01-13 | 2018-12-01 | 269 | 4.876988 | null | Python library to build pretty command line user prompts ✨Easy to use multi-select lists, confirmations, free text prompts ... | [] | ['cli'] | 2024-01-12 | [('jquast/blessed', 0.6140781044960022, 'term', 1), ('pexpect/pexpect', 0.6019250750541687, 'util', 0), ('tiangolo/typer', 0.5755541324615479, 'term', 1), ('urwid/urwid', 0.5709437727928162, 'term', 0), ('google/python-fire', 0.5444633960723877, 'term', 1), ('bigscience-workshop/promptsource', 0.5423410534858704, 'nlp'... | 40 | 4 | null | 0.83 | 35 | 24 | 62 | 0 | 0 | 5 | 5 | 35 | 34 | 90 | 1 | 42 |
641 | data | https://github.com/pytables/pytables | [] | null | [] | [] | null | null | null | pytables/pytables | PyTables | 1,245 | 267 | 61 | Python | http://www.pytables.org | A Python package to manage extremely large amounts of data | pytables | 2024-01-12 | 2011-06-03 | 660 | 1.884732 | https://avatars.githubusercontent.com/u/828302?v=4 | A Python package to manage extremely large amounts of data | [] | [] | 2024-01-12 | [('eleutherai/pyfra', 0.6154819130897522, 'ml', 0), ('erotemic/ubelt', 0.615244448184967, 'util', 0), ('vaexio/vaex', 0.6015515923500061, 'perf', 0), ('pyston/pyston', 0.5999751091003418, 'util', 0), ('blaze/blaze', 0.5941234230995178, 'pandas', 0), ('ibis-project/ibis', 0.5871632695198059, 'data', 0), ('pympler/pymple... | 127 | 5 | null | 7.06 | 42 | 23 | 154 | 0 | 3 | 4 | 3 | 42 | 81 | 90 | 1.9 | 42 |
416 | pandas | https://github.com/pyjanitor-devs/pyjanitor | [] | null | [] | [] | 1 | null | null | pyjanitor-devs/pyjanitor | pyjanitor | 1,224 | 164 | 18 | Python | https://pyjanitor-devs.github.io/pyjanitor | Clean APIs for data cleaning. Python implementation of R package Janitor | pyjanitor-devs | 2024-01-12 | 2018-03-04 | 308 | 3.970343 | https://avatars.githubusercontent.com/u/53411673?v=4 | Clean APIs for data cleaning. Python implementation of R package Janitor | ['cleaning-data', 'data', 'data-engineering', 'dataframe', 'pandas', 'pydata'] | ['cleaning-data', 'data', 'data-engineering', 'dataframe', 'pandas', 'pydata'] | 2024-01-13 | [('hi-primus/optimus', 0.6122784614562988, 'ml-ops', 0), ('pandas-dev/pandas', 0.5571015477180481, 'pandas', 2), ('pytables/pytables', 0.5451061129570007, 'data', 0), ('python-odin/odin', 0.51002436876297, 'util', 0)] | 107 | 4 | null | 1.29 | 40 | 35 | 71 | 0 | 2 | 9 | 2 | 40 | 61 | 90 | 1.5 | 42 |
16 | perf | https://github.com/eventlet/eventlet | [] | null | [] | [] | null | null | null | eventlet/eventlet | eventlet | 1,223 | 371 | 64 | Python | https://eventlet.net | Concurrent networking library for Python | eventlet | 2024-01-09 | 2012-12-11 | 581 | 2.104991 | https://avatars.githubusercontent.com/u/3017635?v=4 | Concurrent networking library for Python | ['c10k', 'concurrency', 'greenlet', 'network', 'production-ready'] | ['c10k', 'concurrency', 'greenlet', 'network', 'production-ready'] | 2024-01-11 | [('python-trio/trio', 0.6357116103172302, 'perf', 0), ('agronholm/anyio', 0.5704464912414551, 'perf', 0), ('samuelcolvin/arq', 0.5532472729682922, 'data', 1), ('ipython/ipyparallel', 0.5408223271369934, 'perf', 0), ('dask/dask', 0.5214966535568237, 'perf', 0), ('backtick-se/cowait', 0.519990086555481, 'util', 0), ('ddd... | 191 | 2 | null | 0.75 | 114 | 71 | 135 | 0 | 0 | 5 | 5 | 114 | 360 | 90 | 3.2 | 42 |
1,672 | util | https://github.com/jaraco/keyring | ['security', 'keyring'] | null | [] | [] | null | null | null | jaraco/keyring | keyring | 1,149 | 148 | 19 | Python | null | null | jaraco | 2024-01-13 | 2015-02-24 | 466 | 2.465665 | null | jaraco/keyring | [] | ['keyring', 'security'] | 2024-01-07 | [] | 118 | 7 | null | 1.87 | 29 | 16 | 108 | 0 | 6 | 22 | 6 | 29 | 35 | 90 | 1.2 | 42 |
480 | gis | https://github.com/sentinel-hub/eo-learn | [] | null | [] | [] | null | null | null | sentinel-hub/eo-learn | eo-learn | 1,064 | 288 | 45 | Python | https://eo-learn.readthedocs.io/en/latest/ | Earth observation processing framework for machine learning in Python | sentinel-hub | 2024-01-10 | 2018-05-31 | 295 | 3.598068 | https://avatars.githubusercontent.com/u/31830596?v=4 | Earth observation processing framework for machine learning in Python | ['eo-data', 'eo-research', 'machine-learning', 'python-package'] | ['eo-data', 'eo-research', 'machine-learning', 'python-package'] | 2024-01-10 | [('pytroll/satpy', 0.6639524102210999, 'gis', 0), ('scitools/iris', 0.623789370059967, 'gis', 0), ('opengeos/earthformer', 0.5971592664718628, 'gis', 0), ('scikit-learn/scikit-learn', 0.581174910068512, 'ml', 1), ('radiantearth/radiant-mlhub', 0.5761727094650269, 'gis', 1), ('weecology/deepforest', 0.5667561888694763, ... | 53 | 5 | null | 4.42 | 28 | 28 | 68 | 0 | 7 | 8 | 7 | 28 | 20 | 90 | 0.7 | 42 |
1,369 | llm | https://github.com/ibm/dromedary | ['language-model'] | null | [] | [] | null | null | null | ibm/dromedary | Dromedary | 1,038 | 79 | 19 | Python | null | Dromedary: towards helpful, ethical and reliable LLMs. | ibm | 2024-01-12 | 2023-05-03 | 38 | 26.713235 | https://avatars.githubusercontent.com/u/1459110?v=4 | Dromedary: towards helpful, ethical and reliable LLMs. | [] | ['language-model'] | 2023-10-26 | [('jina-ai/thinkgpt', 0.6295039057731628, 'llm', 1), ('eugeneyan/open-llms', 0.6077130436897278, 'study', 0), ('mooler0410/llmspracticalguide', 0.5917999148368835, 'study', 0), ('night-chen/toolqa', 0.5732406377792358, 'llm', 0), ('hwchase17/langchain', 0.5653164386749268, 'llm', 1), ('citadel-ai/langcheck', 0.55249118... | 4 | 2 | null | 1.58 | 6 | 3 | 8 | 3 | 0 | 0 | 0 | 6 | 13 | 90 | 2.2 | 42 |
1,145 | util | https://github.com/aio-libs/aiobotocore | [] | null | [] | [] | null | null | null | aio-libs/aiobotocore | aiobotocore | 1,034 | 175 | 26 | Python | https://aiobotocore.rtfd.io | asyncio support for botocore library using aiohttp | aio-libs | 2024-01-08 | 2015-05-31 | 452 | 2.286166 | https://avatars.githubusercontent.com/u/7049303?v=4 | asyncio support for botocore library using aiohttp | ['aiohttp', 'asyncio', 'aws', 'aws-sdk', 'botocore', 'cloud', 'cloud-management'] | ['aiohttp', 'asyncio', 'aws', 'aws-sdk', 'botocore', 'cloud', 'cloud-management'] | 2023-12-13 | [('samuelcolvin/aioaws', 0.6990792155265808, 'data', 2), ('terrycain/aioboto3', 0.6956399083137512, 'util', 1), ('aio-libs/aiohttp', 0.6436625719070435, 'web', 2), ('geeogi/async-python-lambda-template', 0.6242508292198181, 'template', 0), ('timofurrer/awesome-asyncio', 0.5803163647651672, 'study', 1), ('jordaneremieff... | 60 | 7 | null | 0.5 | 49 | 37 | 105 | 1 | 9 | 10 | 9 | 49 | 132 | 90 | 2.7 | 42 |
1,348 | nlp | https://github.com/abertsch72/unlimiformer | ['transformers', 'attention-mechanism'] | null | [] | [] | null | null | null | abertsch72/unlimiformer | unlimiformer | 1,004 | 70 | 23 | Python | null | Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input" | abertsch72 | 2024-01-12 | 2023-05-03 | 38 | 25.838235 | null | Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input" | [] | ['attention-mechanism', 'transformers'] | 2023-10-03 | [('facebookresearch/xformers', 0.5475772023200989, 'ml', 1), ('microsoft/focal-transformer', 0.5153154134750366, 'ml', 0)] | 7 | 1 | null | 1.92 | 13 | 3 | 9 | 3 | 0 | 0 | 0 | 13 | 34 | 90 | 2.6 | 42 |
1,103 | diffusion | https://github.com/chenyangqiqi/fatezero | [] | null | [] | [] | null | null | null | chenyangqiqi/fatezero | FateZero | 976 | 92 | 13 | Jupyter Notebook | http://fate-zero-edit.github.io/ | [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing" | chenyangqiqi | 2024-01-12 | 2023-03-16 | 45 | 21.35 | null | [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing" | ['image-editing', 'stable-diffusion', 'text-driven-editing', 'video-editing', 'video-style-transfer'] | ['image-editing', 'stable-diffusion', 'text-driven-editing', 'video-editing', 'video-style-transfer'] | 2023-08-14 | [('thudm/cogvideo', 0.6052513718605042, 'ml', 0), ('williamyang1991/vtoonify', 0.5721680521965027, 'ml-dl', 1), ('zulko/moviepy', 0.5514541268348694, 'util', 1), ('nateraw/stable-diffusion-videos', 0.543769896030426, 'diffusion', 1), ('openai/glide-text2im', 0.5413234233856201, 'diffusion', 0), ('open-mmlab/mmediting',... | 5 | 4 | null | 2.08 | 5 | 3 | 10 | 5 | 2 | 2 | 2 | 5 | 4 | 90 | 0.8 | 42 |
1,864 | sim | https://github.com/sail-sg/envpool | [] | null | [] | [] | null | null | null | sail-sg/envpool | envpool | 965 | 92 | 21 | C++ | https://envpool.readthedocs.io | C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments. | sail-sg | 2024-01-12 | 2021-10-20 | 118 | 8.11899 | https://avatars.githubusercontent.com/u/85740051?v=4 | C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments. | ['atari-games', 'box2d', 'cpp17', 'dm-control', 'dm-env', 'gym', 'high-performance-computing', 'lock-free-queue', 'mujoco', 'parallel-processing', 'pybind11', 'reinforcement-learning', 'reinforcement-learning-environments', 'robotics', 'threadpool', 'vizdoom'] | ['atari-games', 'box2d', 'cpp17', 'dm-control', 'dm-env', 'gym', 'high-performance-computing', 'lock-free-queue', 'mujoco', 'parallel-processing', 'pybind11', 'reinforcement-learning', 'reinforcement-learning-environments', 'robotics', 'threadpool', 'vizdoom'] | 2023-10-30 | [('ray-project/ray', 0.529890775680542, 'ml-ops', 1), ('exaloop/codon', 0.5291399359703064, 'perf', 0), ('panda3d/panda3d', 0.5131605267524719, 'gamedev', 0), ('denys88/rl_games', 0.5019115805625916, 'ml-rl', 1), ('salesforce/warp-drive', 0.5001153945922852, 'ml-rl', 1)] | 17 | 8 | null | 0.37 | 14 | 8 | 27 | 2 | 3 | 12 | 3 | 14 | 25 | 90 | 1.8 | 42 |
555 | jupyter | https://github.com/vizzuhq/ipyvizzu | [] | null | [] | [] | null | null | null | vizzuhq/ipyvizzu | ipyvizzu | 898 | 87 | 15 | Python | https://ipyvizzu.vizzuhq.com | Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. | vizzuhq | 2024-01-13 | 2022-01-05 | 107 | 8.325828 | https://avatars.githubusercontent.com/u/79846421?v=4 | Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. | ['animation', 'chart', 'charting', 'charts', 'data-visualization', 'dataviz', 'graphing', 'graphs', 'ipython', 'jupyter', 'jupyter-notebook', 'plotting', 'storytelling', 'vizzu'] | ['animation', 'chart', 'charting', 'charts', 'data-visualization', 'dataviz', 'graphing', 'graphs', 'ipython', 'jupyter', 'jupyter-notebook', 'plotting', 'storytelling', 'vizzu'] | 2024-01-09 | [('plotly/plotly.py', 0.7362504601478577, 'viz', 1), ('maartenbreddels/ipyvolume', 0.7133920788764954, 'jupyter', 4), ('bokeh/bokeh', 0.6746152639389038, 'viz', 2), ('jupyter-widgets/ipywidgets', 0.6638791561126709, 'jupyter', 0), ('voila-dashboards/voila', 0.6425187587738037, 'jupyter', 2), ('holoviz/panel', 0.6363608... | 20 | 4 | null | 6.46 | 15 | 14 | 25 | 0 | 6 | 12 | 6 | 15 | 2 | 90 | 0.1 | 42 |
1,632 | util | https://github.com/pypa/setuptools_scm | ['hg', 'git', 'sdist', 'versioning'] | null | [] | [] | null | null | null | pypa/setuptools_scm | setuptools_scm | 790 | 215 | 27 | Python | https://setuptools-scm.readthedocs.io/en/latest/ | the blessed package to manage your versions by scm tags | pypa | 2024-01-12 | 2015-07-01 | 447 | 1.763955 | https://avatars.githubusercontent.com/u/647025?v=4 | the blessed package to manage your versions by scm tags | ['metadata', 'packaging', 'version-control'] | ['git', 'hg', 'metadata', 'packaging', 'sdist', 'version-control', 'versioning'] | 2024-01-08 | [('mtkennerly/dunamai', 0.6616849303245544, 'util', 2), ('callowayproject/bump-my-version', 0.6197443604469299, 'util', 1), ('mtkennerly/poetry-dynamic-versioning', 0.6003091931343079, 'util', 2), ('spack/spack', 0.5813215970993042, 'util', 0), ('python-versioneer/python-versioneer', 0.5380630493164062, 'util', 0), ('c... | 131 | 7 | null | 3.81 | 61 | 44 | 104 | 0 | 4 | 14 | 4 | 61 | 100 | 90 | 1.6 | 42 |
841 | util | https://github.com/fsspec/s3fs | [] | null | [] | [] | null | null | null | fsspec/s3fs | s3fs | 773 | 258 | 18 | Python | http://s3fs.readthedocs.io/en/latest/ | S3 Filesystem | fsspec | 2024-01-12 | 2016-03-16 | 410 | 1.881433 | https://avatars.githubusercontent.com/u/92825505?v=4 | S3 Filesystem | [] | [] | 2023-12-16 | [] | 134 | 8 | null | 1.12 | 46 | 33 | 95 | 1 | 0 | 8 | 8 | 46 | 125 | 90 | 2.7 | 42 |
578 | gis | https://github.com/developmentseed/titiler | [] | null | [] | [] | null | null | null | developmentseed/titiler | titiler | 640 | 130 | 18 | Python | https://developmentseed.org/titiler/ | Build your own Raster dynamic map tile services | developmentseed | 2024-01-12 | 2019-06-28 | 239 | 2.671437 | https://avatars.githubusercontent.com/u/92384?v=4 | Build your own Raster dynamic map tile services | ['aws-cdk', 'aws-lambda', 'cog', 'cogeotiff', 'dynamic', 'fastapi', 'gdal', 'map-tile-server', 'map-tiles', 'mosaicjson', 'raster', 'rasterio', 'rest', 'server', 'stac', 'tile'] | ['aws-cdk', 'aws-lambda', 'cog', 'cogeotiff', 'dynamic', 'fastapi', 'gdal', 'map-tile-server', 'map-tiles', 'mosaicjson', 'raster', 'rasterio', 'rest', 'server', 'stac', 'tile'] | 2024-01-10 | [('jordaneremieff/mangum', 0.5069487690925598, 'web', 2), ('localstack/localstack', 0.5016547441482544, 'util', 0)] | 45 | 7 | null | 2.54 | 25 | 22 | 55 | 0 | 0 | 17 | 17 | 25 | 36 | 90 | 1.4 | 42 |
584 | ml-ops | https://github.com/kedro-org/kedro-viz | [] | null | [] | [] | null | null | null | kedro-org/kedro-viz | kedro-viz | 616 | 100 | 11 | JavaScript | https://demo.kedro.org | Visualise your Kedro data and machine-learning pipelines and track your experiments. | kedro-org | 2024-01-14 | 2019-05-09 | 246 | 2.496815 | https://avatars.githubusercontent.com/u/93382166?v=4 | Visualise your Kedro data and machine-learning pipelines and track your experiments. | ['data-visualization', 'experiment-tracking', 'kedro', 'kedro-plugin', 'react'] | ['data-visualization', 'experiment-tracking', 'kedro', 'kedro-plugin', 'react'] | 2024-01-12 | [('kedro-org/kedro', 0.7322895526885986, 'ml-ops', 2), ('getindata/kedro-kubeflow', 0.578177273273468, 'ml-ops', 2), ('wandb/client', 0.5440914034843445, 'ml', 0), ('kubeflow-kale/kale', 0.5434872508049011, 'ml-ops', 0), ('aimhubio/aim', 0.5116142630577087, 'ml-ops', 2)] | 47 | 4 | null | 3.92 | 174 | 117 | 57 | 0 | 19 | 15 | 19 | 172 | 236 | 90 | 1.4 | 42 |
984 | nlp | https://github.com/intellabs/fastrag | ['retrieval-augmentation', 'knowledge-graph', 'haystack'] | null | [] | [] | 1 | null | null | intellabs/fastrag | fastRAG | 583 | 49 | 9 | Python | null | Efficient Retrieval Augmentation and Generation Framework | intellabs | 2024-01-14 | 2023-01-23 | 53 | 10.97043 | https://avatars.githubusercontent.com/u/1492758?v=4 | Efficient Retrieval Augmentation and Generation Framework | ['benchmark', 'colbert', 'diffusion', 'generative-ai', 'information-retrieval', 'knowledge-graph', 'llm', 'multi-modal', 'nlp', 'question-answering', 'semantic-search', 'sentence-transformers', 'summarization', 'transformers'] | ['benchmark', 'colbert', 'diffusion', 'generative-ai', 'haystack', 'information-retrieval', 'knowledge-graph', 'llm', 'multi-modal', 'nlp', 'question-answering', 'retrieval-augmentation', 'semantic-search', 'sentence-transformers', 'summarization', 'transformers'] | 2024-01-11 | [('llmware-ai/llmware', 0.669150710105896, 'llm', 6), ('ai21labs/in-context-ralm', 0.6507914066314697, 'llm', 1), ('paddlepaddle/rocketqa', 0.6380553841590881, 'nlp', 3), ('paddlepaddle/paddlenlp', 0.6250779628753662, 'llm', 4), ('neuml/txtai', 0.6202690005302429, 'nlp', 5), ('muennighoff/sgpt', 0.6058968305587769, 'll... | 6 | 4 | null | 0.62 | 11 | 10 | 12 | 0 | 4 | 6 | 4 | 11 | 17 | 90 | 1.5 | 42 |
1,807 | data | https://github.com/kagisearch/vectordb | ['vectordb'] | null | [] | [] | null | null | null | kagisearch/vectordb | vectordb | 479 | 21 | 3 | Python | https://vectordb.com | A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search. | kagisearch | 2024-01-11 | 2023-04-25 | 40 | 11.975 | https://avatars.githubusercontent.com/u/92134518?v=4 | A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search. | ['ai', 'artificial-intelligence', 'llm', 'llms', 'machine-learning'] | ['ai', 'artificial-intelligence', 'llm', 'llms', 'machine-learning', 'vectordb'] | 2024-01-11 | [('jina-ai/vectordb', 0.6794906258583069, 'data', 1), ('qdrant/fastembed', 0.6594275832176208, 'ml', 1), ('chroma-core/chroma', 0.6572227478027344, 'data', 2), ('pytables/pytables', 0.5746976137161255, 'data', 0), ('activeloopai/deeplake', 0.5621834397315979, 'ml-ops', 3), ('plasticityai/magnitude', 0.5367014408111572,... | 7 | 4 | null | 1.6 | 13 | 12 | 9 | 0 | 0 | 0 | 0 | 13 | 26 | 90 | 2 | 42 |
1,271 | util | https://github.com/qdrant/qdrant-client | [] | null | [] | [] | null | null | null | qdrant/qdrant-client | qdrant-client | 477 | 79 | 6 | Python | https://qdrant.tech | Python client for Qdrant vector search engine | qdrant | 2024-01-14 | 2021-02-09 | 155 | 3.077419 | https://avatars.githubusercontent.com/u/73504361?v=4 | Python client for Qdrant vector search engine | ['qdrant', 'vector-database', 'vector-search', 'vector-search-engine'] | ['qdrant', 'vector-database', 'vector-search', 'vector-search-engine'] | 2024-01-11 | [('qdrant/qdrant-haystack', 0.6654171943664551, 'data', 0), ('pinecone-io/pinecone-python-client', 0.6546476483345032, 'data', 1), ('weaviate/weaviate-python-client', 0.5938428640365601, 'util', 1), ('qdrant/vector-db-benchmark', 0.5792778134346008, 'perf', 3), ('typesense/typesense-python', 0.5577874779701233, 'data',... | 18 | 3 | null | 3.02 | 119 | 92 | 36 | 0 | 11 | 25 | 11 | 113 | 275 | 90 | 2.4 | 42 |
1,656 | llm | https://github.com/langchain-ai/langsmith-cookbook | ['cookbook', 'evaluation', 'language-model'] | LangSmith is a platform for building production-grade LLM applications. | [] | [] | null | null | null | langchain-ai/langsmith-cookbook | langsmith-cookbook | 436 | 62 | 7 | Jupyter Notebook | https://langsmith-cookbook.vercel.app | null | langchain-ai | 2024-01-13 | 2023-08-01 | 26 | 16.769231 | https://avatars.githubusercontent.com/u/126733545?v=4 | LangSmith is a platform for building production-grade LLM applications. | [] | ['cookbook', 'evaluation', 'language-model'] | 2023-12-20 | [('langchain-ai/langsmith-sdk', 0.6326169371604919, 'llm', 2), ('hwchase17/langchain', 0.5514335632324219, 'llm', 1), ('citadel-ai/langcheck', 0.5509293079376221, 'llm', 2), ('eugeneyan/open-llms', 0.5495509505271912, 'study', 0), ('hiyouga/llama-factory', 0.5422530174255371, 'llm', 1), ('hiyouga/llama-efficient-tuning... | 10 | 4 | null | 1.9 | 45 | 29 | 6 | 1 | 0 | 0 | 0 | 45 | 39 | 90 | 0.9 | 42 |
961 | study | https://github.com/openai/spinningup | [] | null | [] | [] | null | null | null | openai/spinningup | spinningup | 9,334 | 2,120 | 229 | Python | https://spinningup.openai.com/ | An educational resource to help anyone learn deep reinforcement learning. | openai | 2024-01-14 | 2018-11-07 | 272 | 34.208377 | https://avatars.githubusercontent.com/u/14957082?v=4 | An educational resource to help anyone learn deep reinforcement learning. | [] | [] | 2020-02-07 | [('thu-ml/tianshou', 0.5972070097923279, 'ml-rl', 0), ('keras-rl/keras-rl', 0.5871951580047607, 'ml-rl', 0), ('unity-technologies/ml-agents', 0.5850274562835693, 'ml-rl', 0), ('mrdbourke/pytorch-deep-learning', 0.580998420715332, 'study', 0), ('huggingface/deep-rl-class', 0.5750541090965271, 'study', 0), ('tensorflow/t... | 25 | 2 | null | 0 | 48 | 3 | 63 | 48 | 0 | 1 | 1 | 48 | 4 | 90 | 0.1 | 41 |
197 | llm | https://github.com/eleutherai/gpt-neo | [] | null | [] | [] | null | null | null | eleutherai/gpt-neo | gpt-neo | 8,070 | 934 | 179 | Python | https://www.eleuther.ai | An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. | eleutherai | 2024-01-13 | 2020-07-05 | 186 | 43.320552 | https://avatars.githubusercontent.com/u/68924597?v=4 | An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. | ['gpt', 'gpt-2', 'gpt-3', 'language-model', 'transformers'] | ['gpt', 'gpt-2', 'gpt-3', 'language-model', 'transformers'] | 2022-02-25 | [('tensorflow/mesh', 0.665690541267395, 'ml-dl', 0), ('eleutherai/gpt-neox', 0.6265007257461548, 'llm', 3), ('karpathy/mingpt', 0.5706537961959839, 'llm', 0), ('huggingface/accelerate', 0.5675502419471741, 'ml', 0), ('bigscience-workshop/megatron-deepspeed', 0.5555706024169922, 'llm', 0), ('microsoft/megatron-deepspeed... | 29 | 2 | null | 0 | 0 | 0 | 43 | 23 | 0 | 1 | 1 | 0 | 0 | 90 | 0 | 41 |
655 | study | https://github.com/udacity/deep-learning-v2-pytorch | [] | null | [] | [] | null | null | null | udacity/deep-learning-v2-pytorch | deep-learning-v2-pytorch | 5,106 | 5,293 | 175 | Jupyter Notebook | null | Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | udacity | 2024-01-14 | 2018-09-04 | 282 | 18.106383 | https://avatars.githubusercontent.com/u/1916665?v=4 | Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | ['convolutional-networks', 'deep-learning', 'neural-network', 'pytorch', 'recurrent-networks', 'sentiment-analysis', 'style-transfer'] | ['convolutional-networks', 'deep-learning', 'neural-network', 'pytorch', 'recurrent-networks', 'sentiment-analysis', 'style-transfer'] | 2022-12-24 | [('mrdbourke/pytorch-deep-learning', 0.6218847632408142, 'study', 2), ('amanchadha/coursera-deep-learning-specialization', 0.6206496357917786, 'study', 2), ('graykode/nlp-tutorial', 0.5692509412765503, 'study', 1), ('mrdbourke/tensorflow-deep-learning', 0.5660417079925537, 'study', 1), ('d2l-ai/d2l-en', 0.5573995113372... | 98 | 4 | null | 0 | 1 | 0 | 65 | 13 | 0 | 0 | 0 | 1 | 1 | 90 | 1 | 41 |
196 | viz | https://github.com/lux-org/lux | [] | null | [] | [] | 1 | null | null | lux-org/lux | lux | 4,829 | 361 | 90 | Python | null | Automatically visualize your pandas dataframe via a single print! 📊 💡 | lux-org | 2024-01-12 | 2020-01-08 | 211 | 22.793661 | https://avatars.githubusercontent.com/u/59636588?v=4 | Automatically visualize your pandas dataframe via a single print! 📊 💡 | ['data-science', 'exploratory-data-analysis', 'jupyter', 'pandas', 'visualization', 'visualization-tools'] | ['data-science', 'exploratory-data-analysis', 'jupyter', 'pandas', 'visualization', 'visualization-tools'] | 2023-07-04 | [('kanaries/pygwalker', 0.7356677055358887, 'pandas', 2), ('man-group/dtale', 0.7073760032653809, 'viz', 3), ('adamerose/pandasgui', 0.6828799843788147, 'pandas', 1), ('tkrabel/bamboolib', 0.6735276579856873, 'pandas', 1), ('mwaskom/seaborn', 0.6733652949333191, 'viz', 2), ('holoviz/panel', 0.6041948795318604, 'viz', 1... | 21 | 3 | null | 0.04 | 2 | 2 | 49 | 6 | 0 | 3 | 3 | 2 | 0 | 90 | 0 | 41 |
1,781 | web | https://github.com/stephenmcd/mezzanine | ['django', 'cms'] | null | [] | [] | null | null | null | stephenmcd/mezzanine | mezzanine | 4,693 | 1,645 | 247 | Python | http://mezzanine.jupo.org | CMS framework for Django | stephenmcd | 2024-01-13 | 2010-05-29 | 713 | 6.578094 | null | CMS framework for Django | [] | ['cms', 'django'] | 2022-11-02 | [('feincms/feincms', 0.8132669925689697, 'web', 1), ('wagtail/wagtail', 0.7118169665336609, 'web', 2), ('pallets/flask', 0.5501194596290588, 'web', 0), ('django/django', 0.5459080934524536, 'web', 1), ('bottlepy/bottle', 0.5408180952072144, 'web', 0)] | 327 | 5 | null | 0 | 5 | 1 | 166 | 15 | 0 | 17 | 17 | 5 | 4 | 90 | 0.8 | 41 |
367 | nlp | https://github.com/layout-parser/layout-parser | [] | null | [] | [] | null | null | null | layout-parser/layout-parser | layout-parser | 4,198 | 415 | 69 | Python | https://layout-parser.github.io/ | A Unified Toolkit for Deep Learning Based Document Image Analysis | layout-parser | 2024-01-12 | 2020-06-10 | 189 | 22.111362 | https://avatars.githubusercontent.com/u/66751426?v=4 | A Unified Toolkit for Deep Learning Based Document Image Analysis | ['computer-vision', 'deep-learning', 'detectron2', 'document-image-processing', 'document-layout-analysis', 'layout-analysis', 'layout-detection', 'layout-parser', 'object-detection', 'ocr'] | ['computer-vision', 'deep-learning', 'detectron2', 'document-image-processing', 'document-layout-analysis', 'layout-analysis', 'layout-detection', 'layout-parser', 'object-detection', 'ocr'] | 2022-08-06 | [] | 8 | 4 | null | 0 | 8 | 0 | 44 | 18 | 0 | 3 | 3 | 8 | 4 | 90 | 0.5 | 41 |
1,217 | ml | https://github.com/cmusphinx/pocketsphinx | [] | null | [] | [] | null | null | null | cmusphinx/pocketsphinx | pocketsphinx | 3,636 | 684 | 158 | C | null | A small speech recognizer | cmusphinx | 2024-01-12 | 2014-04-07 | 512 | 7.099582 | https://avatars.githubusercontent.com/u/7203378?v=4 | A small speech recognizer | ['c', 'speech-recognition'] | ['c', 'speech-recognition'] | 2023-12-28 | [('m-bain/whisperx', 0.58738112449646, 'nlp', 1), ('openai/whisper', 0.5778233408927917, 'ml-dl', 1), ('speechbrain/speechbrain', 0.5464542508125305, 'nlp', 1), ('uberi/speech_recognition', 0.5127110481262207, 'ml', 1)] | 28 | 4 | null | 0.88 | 11 | 6 | 119 | 1 | 3 | 1 | 3 | 11 | 5 | 90 | 0.5 | 41 |
318 | gui | https://github.com/dddomodossola/remi | [] | null | [] | [] | null | null | null | dddomodossola/remi | remi | 3,419 | 408 | 121 | Python | null | Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet. | dddomodossola | 2024-01-13 | 2014-03-20 | 514 | 6.64252 | https://avatars.githubusercontent.com/u/59974634?v=4 | Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet. | ['gui', 'gui-library', 'platform-independent', 'remi', 'ui'] | ['gui', 'gui-library', 'platform-independent', 'remi', 'ui'] | 2023-06-26 | [('beeware/toga', 0.6270981431007385, 'gui', 1), ('hoffstadt/dearpygui', 0.5960089564323425, 'gui', 2), ('kivy/kivy', 0.5648102164268494, 'util', 1), ('willmcgugan/textual', 0.5620313882827759, 'term', 0), ('urwid/urwid', 0.5620279312133789, 'term', 0), ('micropython/micropython', 0.5408753752708435, 'util', 0), ('pyta... | 57 | 4 | null | 0.08 | 4 | 1 | 120 | 7 | 0 | 2 | 2 | 4 | 12 | 90 | 3 | 41 |
703 | pandas | https://github.com/nalepae/pandarallel | [] | null | [] | [] | 1 | null | null | nalepae/pandarallel | pandarallel | 3,358 | 198 | 29 | Python | https://nalepae.github.io/pandarallel | A simple and efficient tool to parallelize Pandas operations on all available CPUs | nalepae | 2024-01-12 | 2019-03-10 | 255 | 13.153889 | null | A simple and efficient tool to parallelize Pandas operations on all available CPUs | ['pandas', 'parallel'] | ['pandas', 'parallel'] | 2023-05-02 | [('jmcarpenter2/swifter', 0.7605847716331482, 'pandas', 1), ('dask/dask', 0.7318655252456665, 'perf', 1), ('ddelange/mapply', 0.6456267833709717, 'pandas', 0), ('blaze/blaze', 0.6345915794372559, 'pandas', 0), ('modin-project/modin', 0.6011874675750732, 'perf', 1), ('scikit-learn-contrib/sklearn-pandas', 0.597847998142... | 25 | 6 | null | 0.08 | 14 | 0 | 59 | 9 | 2 | 8 | 2 | 14 | 8 | 90 | 0.6 | 41 |
208 | crypto | https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot | [] | null | [] | [] | null | null | null | cyberpunkmetalhead/binance-volatility-trading-bot | Binance-volatility-trading-bot | 3,288 | 758 | 144 | Python | null | This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script. | cyberpunkmetalhead | 2024-01-14 | 2021-05-08 | 142 | 23.085256 | null | This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script. | [] | [] | 2023-08-06 | [('ccxt/ccxt', 0.5664846301078796, 'crypto', 0), ('gbeced/basana', 0.518947184085846, 'finance', 0)] | 19 | 3 | null | 0.06 | 5 | 2 | 33 | 5 | 0 | 0 | 0 | 5 | 3 | 90 | 0.6 | 41 |
635 | testing | https://github.com/behave/behave | [] | null | [] | [] | null | null | null | behave/behave | behave | 3,009 | 686 | 120 | Python | https://behave.readthedocs.io/en/latest/ | BDD, Python style. | behave | 2024-01-12 | 2011-10-25 | 640 | 4.701563 | https://avatars.githubusercontent.com/u/3344102?v=4 | BDD, Python style. | ['bdd', 'bdd-framework', 'behave', 'behavior-driven-development', 'cucumber-like', 'gherkin'] | ['bdd', 'bdd-framework', 'behave', 'behavior-driven-development', 'cucumber-like', 'gherkin'] | 2023-11-09 | [('pytest-dev/pytest-bdd', 0.6536642909049988, 'testing', 0)] | 88 | 6 | null | 0.92 | 29 | 8 | 149 | 2 | 2 | 2 | 2 | 29 | 33 | 90 | 1.1 | 41 |
605 | debug | https://github.com/inducer/pudb | [] | null | [] | [] | null | null | null | inducer/pudb | pudb | 2,811 | 228 | 49 | Python | https://documen.tician.de/pudb/ | Full-screen console debugger for Python | inducer | 2024-01-14 | 2011-05-13 | 663 | 4.236168 | null | Full-screen console debugger for Python | ['bpython', 'debug', 'debugger', 'ipython', 'pdb', 'pytest', 'pytest-plugin', 'urwid'] | ['bpython', 'debug', 'debugger', 'ipython', 'pdb', 'pytest', 'pytest-plugin', 'urwid'] | 2024-01-05 | [('gotcha/ipdb', 0.6826649904251099, 'debug', 2), ('alexmojaki/snoop', 0.61795973777771, 'debug', 1), ('samuelcolvin/python-devtools', 0.6053194999694824, 'debug', 1), ('alexmojaki/heartrate', 0.5674254894256592, 'debug', 1), ('urwid/urwid', 0.5516170859336853, 'term', 0), ('samuelcolvin/pytest-pretty', 0.5497497320175... | 94 | 4 | null | 0.69 | 15 | 7 | 154 | 0 | 1 | 6 | 1 | 14 | 23 | 90 | 1.6 | 41 |
131 | ml-dl | https://github.com/explosion/thinc | [] | null | [] | [] | null | null | null | explosion/thinc | thinc | 2,773 | 284 | 80 | Python | https://thinc.ai | 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries | explosion | 2024-01-12 | 2014-10-16 | 484 | 5.720896 | https://avatars.githubusercontent.com/u/20011530?v=4 | 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries | ['ai', 'artificial-intelligence', 'deep-learning', 'functional-programming', 'jax', 'machine-learning', 'machine-learning-library', 'mxnet', 'natural-language-processing', 'nlp', 'pytorch', 'spacy', 'tensorflow', 'type-checking'] | ['ai', 'artificial-intelligence', 'deep-learning', 'functional-programming', 'jax', 'machine-learning', 'machine-learning-library', 'mxnet', 'natural-language-processing', 'nlp', 'pytorch', 'spacy', 'tensorflow', 'type-checking'] | 2023-12-14 | [('keras-team/keras', 0.7295705080032349, 'ml-dl', 5), ('huggingface/transformers', 0.7069814801216125, 'nlp', 7), ('tensorlayer/tensorlayer', 0.6832032203674316, 'ml-rl', 3), ('onnx/onnx', 0.6653851866722107, 'ml', 5), ('google/trax', 0.6631956696510315, 'ml-dl', 3), ('nvidia/deeplearningexamples', 0.6549383401870728,... | 63 | 3 | null | 0.9 | 11 | 10 | 113 | 1 | 8 | 11 | 8 | 11 | 6 | 90 | 0.5 | 41 |
410 | util | https://github.com/yaml/pyyaml | [] | null | [] | [] | null | null | null | yaml/pyyaml | pyyaml | 2,358 | 512 | 53 | Python | null | Canonical source repository for PyYAML | yaml | 2024-01-13 | 2011-11-03 | 638 | 3.691792 | https://avatars.githubusercontent.com/u/69535?v=4 | Canonical source repository for PyYAML | ['yaml'] | ['yaml'] | 2023-11-14 | [('mozillazg/pypy', 0.5088357329368591, 'util', 0)] | 40 | 8 | null | 0.1 | 40 | 14 | 148 | 2 | 0 | 4 | 4 | 40 | 66 | 90 | 1.6 | 41 |
222 | data | https://github.com/pynamodb/pynamodb | [] | null | [] | [] | 1 | null | null | pynamodb/pynamodb | PynamoDB | 2,338 | 430 | 40 | Python | http://pynamodb.readthedocs.io | A pythonic interface to Amazon's DynamoDB | pynamodb | 2024-01-13 | 2014-01-20 | 523 | 4.469143 | https://avatars.githubusercontent.com/u/27022537?v=4 | A pythonic interface to Amazon's DynamoDB | ['aws', 'dynamodb'] | ['aws', 'dynamodb'] | 2024-01-05 | [('amzn/ion-python', 0.6932819485664368, 'data', 0), ('awslabs/python-deequ', 0.6457101702690125, 'ml', 1), ('aws/aws-sdk-pandas', 0.6329684257507324, 'pandas', 1), ('geeogi/async-python-lambda-template', 0.6284517049789429, 'template', 0), ('nasdaq/data-link-python', 0.5948277711868286, 'finance', 0), ('aws/aws-lambda... | 107 | 3 | null | 0.38 | 26 | 9 | 122 | 0 | 6 | 9 | 6 | 26 | 22 | 90 | 0.8 | 41 |
611 | testing | https://github.com/pytest-dev/pytest-testinfra | [] | null | [] | [] | null | null | null | pytest-dev/pytest-testinfra | pytest-testinfra | 2,282 | 345 | 78 | Python | https://testinfra.readthedocs.io | Testinfra test your infrastructures | pytest-dev | 2024-01-12 | 2015-03-15 | 463 | 4.925686 | https://avatars.githubusercontent.com/u/8897583?v=4 | Testinfra test your infrastructures | ['ansible', 'chef', 'devops', 'devops-tools', 'docker', 'infrastructure-as-code', 'infrastructure-testing', 'kubernetes', 'nagios', 'puppet', 'pytest-plugin', 'saltstack', 'tdd', 'tdd-utilities', 'testing', 'testing-tools'] | ['ansible', 'chef', 'devops', 'devops-tools', 'docker', 'infrastructure-as-code', 'infrastructure-testing', 'kubernetes', 'nagios', 'puppet', 'pytest-plugin', 'saltstack', 'tdd', 'tdd-utilities', 'testing', 'testing-tools'] | 2023-11-13 | [('pytest-dev/pytest-xdist', 0.5474545359611511, 'testing', 1), ('pytest-dev/pytest', 0.5438085794448853, 'testing', 1), ('aquasecurity/trivy', 0.538640558719635, 'security', 3), ('eugeneyan/python-collab-template', 0.5332326292991638, 'template', 0), ('orchest/orchest', 0.5304024815559387, 'ml-ops', 2), ('vedro-univer... | 136 | 5 | null | 1.1 | 24 | 11 | 108 | 2 | 4 | 10 | 4 | 24 | 15 | 90 | 0.6 | 41 |
1,029 | finance | https://github.com/robcarver17/pysystemtrade | [] | null | [] | [] | null | null | null | robcarver17/pysystemtrade | pysystemtrade | 2,255 | 779 | 167 | Python | null | Systematic Trading in python | robcarver17 | 2024-01-13 | 2015-11-27 | 426 | 5.286336 | null | Systematic Trading in python | [] | [] | 2024-01-08 | [('gbeced/pyalgotrade', 0.756932258605957, 'finance', 0), ('quantopian/zipline', 0.6582158803939819, 'finance', 0), ('gbeced/basana', 0.6477593779563904, 'finance', 0), ('cuemacro/finmarketpy', 0.6369601488113403, 'finance', 0), ('goldmansachs/gs-quant', 0.6150317788124084, 'finance', 0), ('mementum/backtrader', 0.6113... | 64 | 2 | null | 11.71 | 35 | 32 | 99 | 0 | 0 | 0 | 0 | 35 | 30 | 90 | 0.9 | 41 |
1,296 | llm | https://github.com/ofa-sys/ofa | [] | null | [] | [] | null | null | null | ofa-sys/ofa | OFA | 2,235 | 242 | 22 | Python | null | Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework | ofa-sys | 2024-01-14 | 2022-01-29 | 104 | 21.402189 | https://avatars.githubusercontent.com/u/98636793?v=4 | Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework | ['chinese', 'image-captioning', 'multimodal', 'pretrained-models', 'pretraining', 'prompt', 'prompt-tuning', 'referring-expression-comprehension', 'text-to-image-synthesis', 'vision-language', 'visual-question-answering'] | ['chinese', 'image-captioning', 'multimodal', 'pretrained-models', 'pretraining', 'prompt', 'prompt-tuning', 'referring-expression-comprehension', 'text-to-image-synthesis', 'vision-language', 'visual-question-answering'] | 2023-08-31 | [('nvlabs/prismer', 0.664030134677887, 'diffusion', 1), ('salesforce/blip', 0.6362955570220947, 'diffusion', 3), ('reasoning-machines/pal', 0.5922104120254517, 'llm', 0), ('srush/minichain', 0.5822784304618835, 'llm', 0), ('microsoft/unilm', 0.5649746060371399, 'nlp', 1), ('bytedance/lightseq', 0.5597769021987915, 'nlp... | 12 | 6 | null | 0.15 | 12 | 3 | 24 | 5 | 0 | 0 | 0 | 12 | 5 | 90 | 0.4 | 41 |
233 | crypto | https://github.com/ethereum/py-evm | [] | null | [] | [] | null | null | null | ethereum/py-evm | py-evm | 2,138 | 625 | 96 | Python | https://py-evm.readthedocs.io/en/latest/ | A Python implementation of the Ethereum Virtual Machine | ethereum | 2024-01-12 | 2016-12-27 | 370 | 5.778378 | https://avatars.githubusercontent.com/u/6250754?v=4 | A Python implementation of the Ethereum Virtual Machine | ['ethereum', 'ethereum-virtual-machine', 'evm'] | ['ethereum', 'ethereum-virtual-machine', 'evm'] | 2024-01-12 | [('ethereum/web3.py', 0.6437891721725464, 'crypto', 0), ('pyston/pyston', 0.5943373441696167, 'util', 0), ('primal100/pybitcointools', 0.5760893821716309, 'crypto', 0), ('exaloop/codon', 0.5648453235626221, 'perf', 0), ('micropython/micropython', 0.5545228719711304, 'util', 0), ('1200wd/bitcoinlib', 0.546512246131897, ... | 91 | 2 | null | 2.46 | 29 | 6 | 86 | 0 | 0 | 15 | 15 | 29 | 3 | 90 | 0.1 | 41 |
322 | gui | https://github.com/wxwidgets/phoenix | [] | null | [] | [] | null | null | null | wxwidgets/phoenix | Phoenix | 2,120 | 522 | 107 | Python | http://wxpython.org/ | wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before. | wxwidgets | 2024-01-14 | 2012-07-17 | 602 | 3.521595 | https://avatars.githubusercontent.com/u/791023?v=4 | wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before. | ['awesome', 'cross-platform', 'gui', 'gui-framework', 'gui-toolkit', 'linux', 'macosx', 'windows', 'wxpython', 'wxwidgets'] | ['awesome', 'cross-platform', 'gui', 'gui-framework', 'gui-toolkit', 'linux', 'macosx', 'windows', 'wxpython', 'wxwidgets'] | 2024-01-11 | [('pysimplegui/pysimplegui', 0.703073263168335, 'gui', 3), ('beeware/toga', 0.6360959410667419, 'gui', 1), ('hoffstadt/dearpygui', 0.6336509585380554, 'gui', 4), ('pypy/pypy', 0.6231735944747925, 'util', 0), ('pyglet/pyglet', 0.5862021446228027, 'gamedev', 0), ('parthjadhav/tkinter-designer', 0.58327716588974, 'gui', 1... | 135 | 3 | null | 1.25 | 85 | 42 | 140 | 0 | 1 | 2 | 1 | 85 | 110 | 90 | 1.3 | 41 |
1,688 | util | https://github.com/pypa/flit | ['pypi', 'package-manager', 'packaging'] | null | [] | [] | 1 | null | null | pypa/flit | flit | 2,058 | 128 | 33 | Python | https://flit.pypa.io/ | Simplified packaging of Python modules | pypa | 2024-01-13 | 2015-03-13 | 463 | 4.439445 | https://avatars.githubusercontent.com/u/647025?v=4 | Simplified packaging of Python modules | [] | ['package-manager', 'packaging'] | 2023-12-09 | [('indygreg/pyoxidizer', 0.8746299147605896, 'util', 2), ('mitsuhiko/rye', 0.825670599937439, 'util', 2), ('python-poetry/poetry', 0.8031641244888306, 'util', 2), ('regebro/pyroma', 0.7084984183311462, 'util', 1), ('pomponchik/instld', 0.6446828842163086, 'util', 1), ('pdm-project/pdm', 0.6415485143661499, 'util', 2), ... | 70 | 5 | null | 0.56 | 17 | 9 | 108 | 1 | 0 | 5 | 5 | 17 | 21 | 90 | 1.2 | 41 |
642 | util | https://github.com/grahamdumpleton/wrapt | [] | null | [] | [] | null | null | null | grahamdumpleton/wrapt | wrapt | 1,917 | 218 | 44 | Python | null | A Python module for decorators, wrappers and monkey patching. | grahamdumpleton | 2024-01-12 | 2013-05-29 | 556 | 3.442535 | null | A Python module for decorators, wrappers and monkey patching. | [] | [] | 2023-11-10 | [('clarete/forbiddenfruit', 0.6830537915229797, 'util', 0), ('python-rope/rope', 0.5636062026023865, 'util', 0), ('instagram/fixit', 0.5495676398277283, 'util', 0), ('faif/python-patterns', 0.5319310426712036, 'util', 0), ('hhatto/autopep8', 0.5304956436157227, 'util', 0), ('psf/black', 0.527543306350708, 'util', 0), (... | 27 | 6 | null | 0.69 | 13 | 5 | 129 | 2 | 1 | 5 | 1 | 13 | 59 | 90 | 4.5 | 41 |
592 | time-series | https://github.com/uber/orbit | [] | null | [] | [] | null | null | null | uber/orbit | orbit | 1,770 | 130 | 32 | Python | https://orbit-ml.readthedocs.io/en/stable/ | A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. | uber | 2024-01-14 | 2020-01-07 | 212 | 8.349057 | https://avatars.githubusercontent.com/u/538264?v=4 | A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. | ['arima', 'bayesian', 'bayesian-methods', 'bayesian-statistics', 'changepoint', 'exponential-smoothing', 'forecast', 'forecasting', 'machine-learning', 'orbit', 'probabilistic', 'probabilistic-programming', 'pyro', 'pystan', 'pytorch', 'regression', 'regression-models', 'stan', 'time-series'] | ['arima', 'bayesian', 'bayesian-methods', 'bayesian-statistics', 'changepoint', 'exponential-smoothing', 'forecast', 'forecasting', 'machine-learning', 'orbit', 'probabilistic', 'probabilistic-programming', 'pyro', 'pystan', 'pytorch', 'regression', 'regression-models', 'stan', 'time-series'] | 2024-01-12 | [('awslabs/gluonts', 0.6446792483329773, 'time-series', 4), ('pymc-devs/pymc3', 0.6276130080223083, 'ml', 1), ('alkaline-ml/pmdarima', 0.5944992899894714, 'time-series', 4), ('firmai/atspy', 0.5873233675956726, 'time-series', 2), ('ourownstory/neural_prophet', 0.5688930153846741, 'ml', 5), ('statsmodels/statsmodels', 0... | 19 | 3 | null | 0.44 | 25 | 21 | 49 | 0 | 3 | 6 | 3 | 25 | 10 | 90 | 0.4 | 41 |
877 | time-series | https://github.com/aistream-peelout/flow-forecast | [] | null | [] | [] | null | null | null | aistream-peelout/flow-forecast | flow-forecast | 1,748 | 272 | 28 | Python | https://flow-forecast.atlassian.net/wiki/spaces/FF/overview | Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | aistream-peelout | 2024-01-13 | 2019-08-15 | 232 | 7.511357 | https://avatars.githubusercontent.com/u/45472534?v=4 | Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ['anomaly-detection', 'deep-learning', 'deep-neural-networks', 'forecasting', 'lstm', 'pytorch', 'state-of-the-art-models', 'time-series', 'time-series-analysis', 'time-series-forecasting', 'time-series-regression', 'transfer-learning', 'transformer'] | ['anomaly-detection', 'deep-learning', 'deep-neural-networks', 'forecasting', 'lstm', 'pytorch', 'state-of-the-art-models', 'time-series', 'time-series-analysis', 'time-series-forecasting', 'time-series-regression', 'transfer-learning', 'transformer'] | 2024-01-11 | [('unit8co/darts', 0.7890238165855408, 'time-series', 4), ('salesforce/deeptime', 0.7200793027877808, 'time-series', 5), ('yzhao062/pyod', 0.6631090044975281, 'data', 2), ('salesforce/merlion', 0.6415663361549377, 'time-series', 3), ('pycaret/pycaret', 0.6154711246490479, 'ml', 2), ('huggingface/transformers', 0.606082... | 14 | 2 | null | 5.9 | 21 | 15 | 54 | 0 | 1 | 9 | 1 | 21 | 18 | 90 | 0.9 | 41 |
511 | data | https://github.com/agronholm/sqlacodegen | [] | null | [] | [] | null | null | null | agronholm/sqlacodegen | sqlacodegen | 1,605 | 228 | 25 | Python | null | Automatic model code generator for SQLAlchemy | agronholm | 2024-01-13 | 2016-12-28 | 369 | 4.339513 | null | Automatic model code generator for SQLAlchemy | [] | [] | 2024-01-09 | [('sqlalchemy/sqlalchemy', 0.7499924302101135, 'data', 0), ('sqlalchemy/alembic', 0.6634976267814636, 'data', 0), ('tiangolo/sqlmodel', 0.542255163192749, 'data', 0), ('mause/duckdb_engine', 0.5388209819793701, 'data', 0), ('brokenloop/jsontopydantic', 0.5330995321273804, 'util', 0), ('mcfunley/pugsql', 0.5109015703201... | 19 | 2 | null | 1.04 | 24 | 12 | 86 | 0 | 0 | 3 | 3 | 24 | 67 | 90 | 2.8 | 41 |
1,778 | perf | https://github.com/python-greenlet/greenlet | ['coroutine'] | null | [] | [] | null | null | null | python-greenlet/greenlet | greenlet | 1,559 | 232 | 53 | C++ | null | Lightweight in-process concurrent programming | python-greenlet | 2024-01-12 | 2011-12-17 | 632 | 2.465101 | https://avatars.githubusercontent.com/u/1270171?v=4 | Lightweight in-process concurrent programming | [] | ['coroutine'] | 2023-12-21 | [('noxdafox/pebble', 0.6010660529136658, 'perf', 0), ('python-trio/trio', 0.5789716839790344, 'perf', 0), ('sumerc/yappi', 0.5529376268386841, 'profiling', 1), ('agronholm/anyio', 0.517914354801178, 'perf', 0), ('fluentpython/example-code-2e', 0.514401912689209, 'study', 0)] | 68 | 4 | null | 1.83 | 24 | 17 | 147 | 1 | 0 | 4 | 4 | 24 | 83 | 90 | 3.5 | 41 |
1,545 | web | https://github.com/jordaneremieff/mangum | ['aws', 'lambda', 'asgi'] | null | [] | [] | null | null | null | jordaneremieff/mangum | mangum | 1,518 | 94 | 16 | Python | https://mangum.io/ | AWS Lambda support for ASGI applications | jordaneremieff | 2024-01-12 | 2019-01-14 | 263 | 5.76873 | null | AWS Lambda support for ASGI applications | ['api-gateway', 'asgi', 'asyncio', 'aws', 'aws-lambda', 'django', 'fastapi', 'lambda', 'quart', 'sanic', 'serverless', 'starlette'] | ['api-gateway', 'asgi', 'asyncio', 'aws', 'aws-lambda', 'django', 'fastapi', 'lambda', 'quart', 'sanic', 'serverless', 'starlette'] | 2023-11-03 | [('samuelcolvin/aioaws', 0.7040007710456848, 'data', 2), ('geeogi/async-python-lambda-template', 0.6858481168746948, 'template', 0), ('aws/chalice', 0.677313506603241, 'web', 4), ('nficano/python-lambda', 0.6575080752372742, 'util', 3), ('neoteroi/blacksheep', 0.6414300203323364, 'web', 2), ('aws/aws-lambda-python-runt... | 30 | 6 | null | 0.02 | 15 | 4 | 61 | 2 | 0 | 12 | 12 | 15 | 16 | 90 | 1.1 | 41 |
1,719 | util | https://github.com/sourcery-ai/sourcery | ['code-quality'] | null | [] | [] | null | null | null | sourcery-ai/sourcery | sourcery | 1,446 | 53 | 17 | null | https://sourcery.ai | Automatically review and improve your Python code. ⭐ this repo and Sourcery Starbot will send you a PR. Or install our CLI to improve your code locally | sourcery-ai | 2024-01-14 | 2019-07-15 | 237 | 6.09759 | https://avatars.githubusercontent.com/u/36609879?v=4 | Automatically review and improve your Python code. ⭐ this repo and Sourcery Starbot will send you a PR. Or install our CLI to improve your code locally | ['ai', 'code-quality', 'refactoring', 'software-development', 'software-tools'] | ['ai', 'code-quality', 'refactoring', 'software-development', 'software-tools'] | 2023-12-21 | [('rubik/radon', 0.6180241703987122, 'util', 0), ('nedbat/coveragepy', 0.5949026942253113, 'testing', 0), ('reloadware/reloadium', 0.5745614767074585, 'profiling', 1), ('amaargiru/pyroad', 0.5690412521362305, 'study', 0), ('featurelabs/featuretools', 0.554305911064148, 'ml', 0), ('willmcgugan/textual', 0.55344039201736... | 9 | 3 | null | 0.5 | 26 | 13 | 55 | 1 | 211 | 100 | 211 | 26 | 42 | 90 | 1.6 | 41 |
1,118 | web | https://github.com/wtforms/wtforms | [] | null | [] | [] | null | null | null | wtforms/wtforms | wtforms | 1,443 | 392 | 48 | Python | https://wtforms.readthedocs.io | A flexible forms validation and rendering library for Python. | wtforms | 2024-01-06 | 2013-09-11 | 541 | 2.663064 | https://avatars.githubusercontent.com/u/4740084?v=4 | A flexible forms validation and rendering library for Python. | ['forms', 'html', 'validation', 'wtforms'] | ['forms', 'html', 'validation', 'wtforms'] | 2024-01-11 | [('pyeve/cerberus', 0.657631516456604, 'data', 0), ('connorferster/handcalcs', 0.5505093336105347, 'jupyter', 0), ('pydantic/pydantic', 0.5329594612121582, 'util', 1), ('pytoolz/toolz', 0.5101136565208435, 'util', 0)] | 156 | 5 | null | 1.48 | 24 | 19 | 126 | 0 | 3 | 3 | 3 | 24 | 32 | 90 | 1.3 | 41 |
932 | data | https://github.com/datastax/python-driver | [] | null | [] | [] | null | null | null | datastax/python-driver | python-driver | 1,363 | 577 | 78 | Python | null | DataStax Python Driver for Apache Cassandra | datastax | 2024-01-08 | 2013-07-08 | 551 | 2.473043 | https://avatars.githubusercontent.com/u/573369?v=4 | DataStax Python Driver for Apache Cassandra | [] | [] | 2023-12-21 | [('scylladb/python-driver', 0.8284926414489746, 'data', 0), ('neo4j/neo4j-python-driver', 0.5756858587265015, 'data', 0), ('awslabs/python-deequ', 0.5413904190063477, 'ml', 0), ('nasdaq/data-link-python', 0.5312590599060059, 'finance', 0)] | 196 | 6 | null | 1.25 | 19 | 14 | 128 | 1 | 0 | 8 | 8 | 19 | 27 | 90 | 1.4 | 41 |
983 | sim | https://github.com/deepmodeling/deepmd-kit | [] | null | [] | [] | null | null | null | deepmodeling/deepmd-kit | deepmd-kit | 1,296 | 462 | 46 | C++ | https://docs.deepmodeling.com/projects/deepmd/ | A deep learning package for many-body potential energy representation and molecular dynamics | deepmodeling | 2024-01-13 | 2017-12-12 | 320 | 4.05 | https://avatars.githubusercontent.com/u/32671488?v=4 | A deep learning package for many-body potential energy representation and molecular dynamics | ['ase', 'c', 'computational-chemistry', 'cpp', 'cuda', 'deep-learning', 'deepmd', 'ipi', 'lammps', 'materials-science', 'molecular-dynamics', 'nodejs', 'potential-energy', 'rocm', 'tensorflow'] | ['ase', 'c', 'computational-chemistry', 'cpp', 'cuda', 'deep-learning', 'deepmd', 'ipi', 'lammps', 'materials-science', 'molecular-dynamics', 'nodejs', 'potential-energy', 'rocm', 'tensorflow'] | 2023-10-27 | [('whitead/dmol-book', 0.702418863773346, 'ml-dl', 1), ('tensorlayer/tensorlayer', 0.5839037299156189, 'ml-rl', 2), ('espressomd/espresso', 0.5804603695869446, 'sim', 1), ('nvidia/deeplearningexamples', 0.558430016040802, 'ml-dl', 2), ('d2l-ai/d2l-en', 0.5467190146446228, 'study', 2), ('tensorflow/tensor2tensor', 0.542... | 64 | 1 | null | 6.83 | 228 | 196 | 74 | 3 | 8 | 11 | 8 | 223 | 296 | 90 | 1.3 | 41 |
603 | testing | https://github.com/pytest-dev/pytest-xdist | [] | null | [] | [] | null | null | null | pytest-dev/pytest-xdist | pytest-xdist | 1,287 | 216 | 49 | Python | https://pytest-xdist.readthedocs.io | pytest plugin for distributed testing and loop-on-failures testing modes. | pytest-dev | 2024-01-11 | 2015-09-01 | 439 | 2.931663 | https://avatars.githubusercontent.com/u/8897583?v=4 | pytest plugin for distributed testing and loop-on-failures testing modes. | ['pytest', 'pytest-plugin'] | ['pytest', 'pytest-plugin'] | 2024-01-10 | [('pytest-dev/pytest-cov', 0.7077765464782715, 'testing', 1), ('pytest-dev/pytest', 0.6530086994171143, 'testing', 0), ('teemu/pytest-sugar', 0.6500891447067261, 'testing', 2), ('pytest-dev/pytest-asyncio', 0.6232805252075195, 'testing', 1), ('ionelmc/pytest-benchmark', 0.613385796546936, 'testing', 1), ('pytest-dev/py... | 93 | 5 | null | 1.17 | 60 | 36 | 102 | 0 | 1 | 8 | 1 | 60 | 98 | 90 | 1.6 | 41 |
895 | util | https://github.com/ossf/criticality_score | [] | null | [] | [] | null | null | null | ossf/criticality_score | criticality_score | 1,255 | 109 | 34 | Go | null | Gives criticality score for an open source project | ossf | 2024-01-10 | 2020-11-17 | 167 | 7.51497 | https://avatars.githubusercontent.com/u/67707773?v=4 | Gives criticality score for an open source project | [] | [] | 2023-12-14 | [] | 20 | 3 | null | 1.4 | 55 | 43 | 38 | 1 | 4 | 3 | 4 | 55 | 40 | 90 | 0.7 | 41 |
576 | util | https://github.com/lidatong/dataclasses-json | [] | null | [] | [] | null | null | null | lidatong/dataclasses-json | dataclasses-json | 1,248 | 142 | 8 | Python | null | Easily serialize Data Classes to and from JSON | lidatong | 2024-01-13 | 2018-04-21 | 301 | 4.140284 | null | Easily serialize Data Classes to and from JSON | ['dataclasses', 'json'] | ['dataclasses', 'json'] | 2023-11-27 | [('yukinarit/pyserde', 0.686412513256073, 'util', 2), ('konradhalas/dacite', 0.630731999874115, 'util', 1), ('marshmallow-code/marshmallow', 0.5334739089012146, 'util', 0), ('python-attrs/cattrs', 0.5296611189842224, 'typing', 0), ('1rgs/jsonformer', 0.529080331325531, 'llm', 1), ('pylons/colander', 0.5289405584335327,... | 67 | 5 | null | 1.15 | 24 | 13 | 70 | 2 | 12 | 14 | 12 | 24 | 30 | 90 | 1.2 | 41 |
1,035 | diffusion | https://github.com/nvlabs/prismer | [] | null | [] | [] | null | null | null | nvlabs/prismer | prismer | 1,242 | 70 | 15 | Python | https://shikun.io/projects/prismer | The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts". | nvlabs | 2024-01-13 | 2023-03-02 | 47 | 26.02994 | https://avatars.githubusercontent.com/u/2695301?v=4 | The implementation of "Prismer: A Vision-Language Model with An Ensemble of Experts". | ['image-captioning', 'language-model', 'multi-modal-learning', 'multi-task-learning', 'vision-and-language', 'vision-language-model', 'vqa'] | ['image-captioning', 'language-model', 'multi-modal-learning', 'multi-task-learning', 'vision-and-language', 'vision-language-model', 'vqa'] | 2023-04-29 | [('salesforce/blip', 0.6734409928321838, 'diffusion', 1), ('ofa-sys/ofa', 0.664030134677887, 'llm', 1), ('next-gpt/next-gpt', 0.5736103057861328, 'llm', 0), ('eleutherai/lm-evaluation-harness', 0.5629435777664185, 'llm', 1), ('freedomintelligence/llmzoo', 0.5624253153800964, 'llm', 1), ('jerryyli/valhalla-nmt', 0.54988... | 3 | 3 | null | 0.58 | 1 | 1 | 11 | 9 | 0 | 0 | 0 | 1 | 3 | 90 | 3 | 41 |
854 | jupyter | https://github.com/jupyter/nbgrader | [] | null | [] | [] | null | null | null | jupyter/nbgrader | nbgrader | 1,241 | 319 | 44 | Python | https://nbgrader.readthedocs.io/ | A system for assigning and grading notebooks | jupyter | 2024-01-11 | 2014-09-13 | 489 | 2.53561 | https://avatars.githubusercontent.com/u/7388996?v=4 | A system for assigning and grading notebooks | ['grading', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'nbgrader', 'teaching'] | ['grading', 'jupyter', 'jupyter-notebook', 'jupyterhub', 'nbgrader', 'teaching'] | 2023-12-04 | [('jupyter/nbformat', 0.6341890692710876, 'jupyter', 0), ('jupyter/nbconvert', 0.6126564145088196, 'jupyter', 0), ('cohere-ai/notebooks', 0.5908788442611694, 'llm', 0), ('mwouts/jupytext', 0.5783310532569885, 'jupyter', 1), ('jupyter/notebook', 0.5747985243797302, 'jupyter', 2), ('fchollet/deep-learning-with-python-not... | 105 | 4 | null | 1.1 | 27 | 11 | 114 | 1 | 8 | 4 | 8 | 27 | 56 | 90 | 2.1 | 41 |
401 | perf | https://github.com/tiangolo/asyncer | [] | null | [] | [] | null | null | null | tiangolo/asyncer | asyncer | 1,235 | 47 | 18 | Python | https://asyncer.tiangolo.com/ | Asyncer, async and await, focused on developer experience. | tiangolo | 2024-01-12 | 2022-01-04 | 108 | 11.435185 | null | Asyncer, async and await, focused on developer experience. | ['anyio', 'async', 'asyncio', 'trio'] | ['anyio', 'async', 'asyncio', 'trio'] | 2023-12-10 | [('agronholm/anyio', 0.7173997759819031, 'perf', 2), ('magicstack/uvloop', 0.6868960857391357, 'util', 2), ('python-trio/trio', 0.6240719556808472, 'perf', 2), ('encode/starlette', 0.5958313345909119, 'web', 1), ('aio-libs/aiohttp', 0.5814606547355652, 'web', 2), ('alirn76/panther', 0.5792798399925232, 'web', 0), ('pal... | 10 | 5 | null | 0.62 | 26 | 12 | 25 | 1 | 0 | 1 | 1 | 26 | 15 | 90 | 0.6 | 41 |
1,599 | llm | https://github.com/srush/minichain | ['prompt-engineering', 'question-answering', 'retrieval-augmentation'] | null | [] | [] | null | null | null | srush/minichain | MiniChain | 1,148 | 72 | 15 | Python | https://srush-minichain.hf.space/ | A tiny library for coding with large language models. | srush | 2024-01-13 | 2023-02-10 | 50 | 22.700565 | null | A tiny library for coding with large language models. | [] | ['prompt-engineering', 'question-answering', 'retrieval-augmentation'] | 2023-12-07 | [('keirp/automatic_prompt_engineer', 0.6470367908477783, 'llm', 1), ('openai/finetune-transformer-lm', 0.6227275133132935, 'llm', 0), ('stanfordnlp/dspy', 0.6080040335655212, 'llm', 0), ('ai21labs/in-context-ralm', 0.5984602570533752, 'llm', 1), ('ofa-sys/ofa', 0.5822784304618835, 'llm', 0), ('neulab/prompt2model', 0.5... | 7 | 4 | null | 2.67 | 0 | 0 | 11 | 1 | 2 | 2 | 2 | 0 | 0 | 90 | 0 | 41 |
733 | ml | https://github.com/koaning/scikit-lego | [] | null | [] | [] | null | null | null | koaning/scikit-lego | scikit-lego | 1,097 | 107 | 23 | Python | https://koaning.github.io/scikit-lego/ | Extra blocks for scikit-learn pipelines. | koaning | 2024-01-09 | 2019-01-21 | 262 | 4.184741 | null | Extra blocks for scikit-learn pipelines. | ['common-sense', 'machine-learning', 'scikit-learn'] | ['common-sense', 'machine-learning', 'scikit-learn'] | 2024-01-06 | [('koaning/scikit-partial', 0.6257511377334595, 'data', 0), ('skops-dev/skops', 0.6168782711029053, 'ml-ops', 2), ('automl/auto-sklearn', 0.6153001189231873, 'ml', 1), ('iryna-kondr/scikit-llm', 0.614821195602417, 'llm', 2), ('koaning/human-learn', 0.5959609150886536, 'data', 2), ('rasbt/machine-learning-book', 0.58575... | 62 | 5 | null | 0.69 | 36 | 28 | 61 | 0 | 3 | 7 | 3 | 36 | 40 | 90 | 1.1 | 41 |
502 | gis | https://github.com/anitagraser/movingpandas | [] | null | [] | [] | null | null | null | anitagraser/movingpandas | movingpandas | 1,084 | 185 | 38 | Python | http://movingpandas.org | Movement trajectory classes and functions built on top of GeoPandas | anitagraser | 2024-01-13 | 2018-12-16 | 267 | 4.055585 | https://avatars.githubusercontent.com/u/123823419?v=4 | Movement trajectory classes and functions built on top of GeoPandas | ['geopandas', 'movement-data', 'spatial-data-analysis', 'trajectory', 'trajectory-analysis'] | ['geopandas', 'movement-data', 'spatial-data-analysis', 'trajectory', 'trajectory-analysis'] | 2023-12-30 | [('geopandas/geopandas', 0.5975525379180908, 'gis', 1), ('holoviz/spatialpandas', 0.5773379802703857, 'pandas', 1), ('residentmario/geoplot', 0.5739251375198364, 'gis', 1), ('scikit-mobility/scikit-mobility', 0.5389496684074402, 'gis', 0), ('pandas-dev/pandas', 0.5086138248443604, 'pandas', 0)] | 33 | 4 | null | 1.23 | 13 | 8 | 62 | 0 | 6 | 4 | 6 | 13 | 26 | 90 | 2 | 41 |
1,149 | data | https://github.com/aio-libs/aiokafka | [] | null | [] | [] | null | null | null | aio-libs/aiokafka | aiokafka | 988 | 212 | 29 | Python | http://aiokafka.readthedocs.io/ | asyncio client for kafka | aio-libs | 2024-01-12 | 2014-11-01 | 482 | 2.047972 | https://avatars.githubusercontent.com/u/7049303?v=4 | asyncio client for kafka | ['asyncio', 'kafka', 'kafka-client'] | ['asyncio', 'kafka', 'kafka-client'] | 2024-01-13 | [('aio-libs/aiohttp', 0.5572373270988464, 'web', 1), ('aio-libs/aiobotocore', 0.5398765802383423, 'util', 1), ('samuelcolvin/aioaws', 0.5397475957870483, 'data', 1), ('alex-sherman/unsync', 0.5082889199256897, 'util', 0)] | 72 | 6 | null | 1.15 | 42 | 28 | 112 | 0 | 6 | 4 | 6 | 42 | 77 | 90 | 1.8 | 41 |
967 | sim | https://github.com/a-r-j/graphein | [] | null | [] | [] | null | null | null | a-r-j/graphein | graphein | 937 | 119 | 20 | Jupyter Notebook | https://graphein.ai/ | Protein Graph Library | a-r-j | 2024-01-12 | 2019-08-28 | 230 | 4.058787 | null | Protein Graph Library | ['bioinformatics', 'computational-biology', 'deep-learning', 'dgl', 'drug-discovery', 'gene-regulatory-networks', 'geometric-deep-learning', 'graph-neural-networks', 'interactome', 'interactomics', 'ppi-networks', 'protein', 'protein-data-bank', 'protein-design', 'protein-structure', 'pytorch', 'pytorch-geometric', 'rn... | ['bioinformatics', 'computational-biology', 'deep-learning', 'dgl', 'drug-discovery', 'gene-regulatory-networks', 'geometric-deep-learning', 'graph-neural-networks', 'interactome', 'interactomics', 'ppi-networks', 'protein', 'protein-data-bank', 'protein-design', 'protein-structure', 'pytorch', 'pytorch-geometric', 'rn... | 2023-12-26 | [('pyg-team/pytorch_geometric', 0.6886248588562012, 'ml-dl', 4), ('benedekrozemberczki/tigerlily', 0.6609140634536743, 'ml-dl', 1), ('graphistry/pygraphistry', 0.6311023235321045, 'data', 0), ('stellargraph/stellargraph', 0.6164317727088928, 'graph', 3), ('dmlc/dgl', 0.5949839949607849, 'ml-dl', 2), ('accenture/ampligr... | 25 | 6 | null | 1.31 | 18 | 15 | 53 | 1 | 7 | 4 | 7 | 18 | 25 | 90 | 1.4 | 41 |
1,516 | llm | https://github.com/microsoft/llama-2-onnx | ['llama', 'language-model'] | A Microsoft optimized version of the Llama 2 model, available from Meta | [] | [] | null | null | null | microsoft/llama-2-onnx | Llama-2-Onnx | 924 | 74 | 342 | Python | null | null | microsoft | 2024-01-13 | 2023-07-17 | 28 | 32.832487 | https://avatars.githubusercontent.com/u/6154722?v=4 | A Microsoft optimized version of the Llama 2 model, available from Meta | [] | ['language-model', 'llama'] | 2023-10-17 | [('facebookresearch/llama-recipes', 0.820441722869873, 'llm', 2), ('tloen/alpaca-lora', 0.7532107830047607, 'llm', 2), ('jzhang38/tinyllama', 0.7340604066848755, 'llm', 2), ('facebookresearch/llama', 0.7213297486305237, 'llm', 2), ('run-llama/llama-lab', 0.7098461985588074, 'llm', 2), ('mshumer/gpt-llm-trainer', 0.6853... | 8 | 1 | null | 0.44 | 25 | 9 | 6 | 3 | 0 | 0 | 0 | 25 | 25 | 90 | 1 | 41 |
1,443 | util | https://github.com/pypa/gh-action-pypi-publish | [] | null | [] | [] | null | null | null | pypa/gh-action-pypi-publish | gh-action-pypi-publish | 780 | 78 | 9 | Python | https://packaging.python.org/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/ | The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish | pypa | 2024-01-13 | 2019-03-27 | 252 | 3.084746 | https://avatars.githubusercontent.com/u/647025?v=4 | The blessed :octocat: GitHub Action, for publishing your 📦 distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish | ['actions', 'github-action', 'github-actions', 'github-actions-python', 'oidc', 'pypa-guide', 'python-packaging', 'release', 'release-automation', 'release-helper', 'secrets', 'testpypi', 'twine', 'upload', 'workflow', 'workflow-automation', 'workflows'] | ['actions', 'github-action', 'github-actions', 'github-actions-python', 'oidc', 'pypa-guide', 'python-packaging', 'release', 'release-automation', 'release-helper', 'secrets', 'testpypi', 'twine', 'upload', 'workflow', 'workflow-automation', 'workflows'] | 2023-12-20 | [('mozillazg/pypy', 0.6144118309020996, 'util', 0), ('pypi/warehouse', 0.6143344044685364, 'util', 0), ('indygreg/pyoxidizer', 0.5328114628791809, 'util', 0), ('pypa/hatch', 0.5319401025772095, 'util', 0), ('pypa/setuptools_scm', 0.5103867650032043, 'util', 0), ('hugovk/pypistats', 0.5029650926589966, 'util', 0)] | 23 | 7 | null | 1.17 | 25 | 15 | 58 | 1 | 15 | 7 | 15 | 25 | 49 | 90 | 2 | 41 |
588 | gis | https://github.com/matplotlib/basemap | [] | null | [] | [] | null | null | null | matplotlib/basemap | basemap | 755 | 397 | 61 | Python | null | Plot on map projections (with coastlines and political boundaries) using matplotlib | matplotlib | 2024-01-10 | 2011-02-19 | 675 | 1.117809 | https://avatars.githubusercontent.com/u/215947?v=4 | Plot on map projections (with coastlines and political boundaries) using matplotlib | ['gis', 'maps', 'plots'] | ['gis', 'maps', 'plots'] | 2024-01-11 | [('scitools/cartopy', 0.6154806613922119, 'gis', 1), ('csurfer/pyheat', 0.5544516444206238, 'profiling', 0), ('matplotlib/matplotlib', 0.505860447883606, 'viz', 0), ('mwaskom/seaborn', 0.500274658203125, 'viz', 0)] | 71 | 7 | null | 3.71 | 33 | 26 | 157 | 0 | 4 | 3 | 4 | 33 | 112 | 90 | 3.4 | 41 |
819 | diffusion | https://github.com/thereforegames/unprompted | [] | null | [] | [] | null | null | null | thereforegames/unprompted | unprompted | 712 | 62 | 16 | Python | null | Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI. | thereforegames | 2024-01-07 | 2022-10-31 | 65 | 10.929825 | null | Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI. | ['a1111-stable-diffusion-webui', 'ai-art', 'deep-learning', 'gpt', 'gradio', 'img2img', 'shortcode', 'stable-diffusion', 'template-engine', 'text2image', 'txt2img', 'wildcards'] | ['a1111-stable-diffusion-webui', 'ai-art', 'deep-learning', 'gpt', 'gradio', 'img2img', 'shortcode', 'stable-diffusion', 'template-engine', 'text2image', 'txt2img', 'wildcards'] | 2023-12-01 | [('automatic1111/stable-diffusion-webui', 0.7207518219947815, 'diffusion', 7), ('mlc-ai/web-stable-diffusion', 0.6838393807411194, 'diffusion', 2), ('civitai/sd_civitai_extension', 0.6360564827919006, 'llm', 0), ('saharmor/dalle-playground', 0.5805418491363525, 'diffusion', 1), ('carson-katri/dream-textures', 0.5799620... | 8 | 2 | null | 3.21 | 19 | 9 | 15 | 1 | 0 | 0 | 0 | 19 | 53 | 90 | 2.8 | 41 |
1,764 | data | https://github.com/duckdb/dbt-duckdb | [] | null | [] | [] | null | null | null | duckdb/dbt-duckdb | dbt-duckdb | 636 | 56 | 17 | Python | null | dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org) | duckdb | 2024-01-13 | 2020-09-25 | 174 | 3.643208 | https://avatars.githubusercontent.com/u/82039556?v=4 | dbt (http://getdbt.com) adapter for DuckDB (http://duckdb.org) | ['dbt', 'duckdb'] | ['dbt', 'duckdb'] | 2024-01-13 | [('duckdb/duckdb', 0.6090986132621765, 'pandas', 0), ('databricks/dbt-databricks', 0.5661155581474304, 'data', 1), ('airbnb/omniduct', 0.5301816463470459, 'data', 0)] | 23 | 3 | null | 6.12 | 46 | 43 | 40 | 0 | 11 | 4 | 11 | 46 | 52 | 90 | 1.1 | 41 |
1,703 | data | https://github.com/dgarnitz/vectorflow | [] | null | [] | [] | null | null | null | dgarnitz/vectorflow | vectorflow | 592 | 37 | 10 | Python | https://www.getvectorflow.com/ | VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice. | dgarnitz | 2024-01-14 | 2023-07-25 | 27 | 21.925926 | null | VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice. | ['ai', 'data-engineering', 'embeddings', 'machine-learning', 'nlp', 'vectors'] | ['ai', 'data-engineering', 'embeddings', 'machine-learning', 'nlp', 'vectors'] | 2023-12-07 | [('activeloopai/deeplake', 0.6199436187744141, 'ml-ops', 2), ('mage-ai/mage-ai', 0.6055392622947693, 'ml-ops', 2), ('jina-ai/vectordb', 0.5692445039749146, 'data', 0), ('featureform/embeddinghub', 0.5690073370933533, 'nlp', 2), ('lancedb/lancedb', 0.5619788765907288, 'data', 0), ('kubeflow/pipelines', 0.534792125225067... | 10 | 1 | null | 1.87 | 39 | 29 | 6 | 1 | 0 | 0 | 0 | 39 | 34 | 90 | 0.9 | 41 |
1,439 | ml | https://github.com/replicate/replicate-python | [] | null | [] | [] | null | null | null | replicate/replicate-python | replicate-python | 512 | 195 | 30 | Python | https://replicate.com | Python client for Replicate | replicate | 2024-01-13 | 2022-05-11 | 89 | 5.697933 | https://avatars.githubusercontent.com/u/60410876?v=4 | Python client for Replicate | [] | [] | 2024-01-04 | [('steamship-core/python-client', 0.6438118815422058, 'util', 0), ('encode/httpx', 0.5832346677780151, 'web', 0), ('eleutherai/pyfra', 0.5586503148078918, 'ml', 0), ('simple-salesforce/simple-salesforce', 0.5586280226707458, 'data', 0), ('ethereum/web3.py', 0.5461574792861938, 'crypto', 0), ('dddomodossola/remi', 0.524... | 13 | 2 | null | 2.17 | 79 | 68 | 20 | 0 | 33 | 32 | 33 | 79 | 92 | 90 | 1.2 | 41 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.